data.jsonl

{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Foundation: GCP Setup\n- **Role:** Cloud Engineer\n\n### Requirement\n- **I want to:** Set up a GCP project for hosting the Streamlit application and its backend.\n- **So that:** The project infrastructure is ready for Zazmic to begin development.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Client doesn't have a GCP account\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Discovery: Workflow Mapping\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Manually walk through the target generative platform and document the optimal path to the \"Aha! Moment\" assets.\n- **So that:** We have a precise, step-by-step map for the Selenium automation engine to follow.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The target platform's workflow is linear and does not have significant A/B testing variations. Dependency: Scenario to provide a stable, dedicated user account for the target platform (e.g., NotebookLM) for analysis and development.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Frontend: Streamlit UI\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the Streamlit user interface for consultant input and showcase delivery.\n- **So that:** The consultant has an intuitive, easy-to-use application to trigger the vision-crafting process.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: UI will use standard Streamlit components (text input, file uploader, buttons, download links). Dependency: Scenario's approval of a simple, functional UI layout. Out of Scope: Custom branding, CSS, complex multi-page designs, or user authentication systems.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Backend: Automation Engine\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build the core Selenium script that programmatically navigates, uploads files, and inputs prompts.\n- **So that:** The engine can reliably replicate the core actions of an expert consultant on the platform.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The target platform's UI is stable and does not have advanced anti-bot measures (e.g., CAPTCHAs). Dependency: The target platform's HTML structure (element IDs, classes) remains consistent during the development phase. Out of Scope: Bypassing advanced bot detection; performance tuning of the target website.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "48"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Backend: Asset Retrieval\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement the logic to locate, scrape, and download the assets (mind map images, audio files) generated.\n- **So that:** The application can successfully retrieve the showcase content and present it back to the user.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Generated assets are presented as standard, downloadable HTML elements (e.g., <a> tags). Dependency: The format and location of the generated assets on the page are consistent. Out of Scope: Building a long-term file management or library system; handling assets embedded in complex JavaScript frameworks.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** POC Testing & Refinement\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Test the full end-to-end automation process, handling timing issues and potential UI changes.\n- **So that:** The generator reliably produces a complete showcase package and is ready for hand-off.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Testing will be functional, not performance-based. Dependency: Scenario to provide feedback on POC functionality in a timely manner. Out of Scope: Formal User Acceptance Testing (UAT) cycles, load testing, or security penetration testing.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "28"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Documentation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Prepare and deliver the POC and provide clear documentation for the tool's usage and architecture.\n- **So that:** Scenario understands how the generator works and the nature of its dependency on the target UI.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Documentation will cover the \"as-built\" POC. Out of Scope: Maintenance/Support for future UI changes to the target platform. This is the most critical point: Re-architecting the script due to major, unannounced UI overhauls by the platform owner is not included and would require a separate support engagement.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** GCP Setup\n- **Role:** Cloud Engineer\n\n### Requirement\n- **I want to:** Set up a GCP account (create project(s), give access to engineers, connect billing ID).\n- **So that:** The project is ready to be worked on and resources are properly billed.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Barrel has an existing GCP organization and will provide the necessary permissions. Out of scope: Setting up a GCP organization from scratch.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "12"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Planning\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Review customer's existing infrastructure and data structure to clarify next steps in the POC.\n- **So that:** The project is ready to be started.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The sample documents are representative of all historical and future documents. Key stakeholders are available for a follow-up clarification session if needed.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Data Ingestion (Documents)\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build a pipeline to ingest documents from Google Drive, chunk them intelligently, generate embeddings, and load them into a Vector DB.\n- **So that:** The AI can semantically search and retrieve information from all SOWs, proposals, and knowledge base documents\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Read-only API access to the specified Google Drive folders will be provided. Documents are in a consistent format (e.g., .docx, .pdf). Out of scope (for MVP): A real-time, event-driven ingestion pipeline. The initial load will be a batch process.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Data Ingestion (Harvest API)\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Connect to the Harvest API, pull historical time tracking data for projects, and store it in a structured format linked to the project docs.\n- **So that:** The AI can compare planned project budgets (from S&Ps) against actual hours worked (from Harvest).\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Barrel will provide a Harvest API key with the necessary read permissions. The API is well-documented and available.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "28"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Agent Development (Orchestrator)\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build the core Orchestrator Agent to analyze incoming user queries and route them to the appropriate specialist agent.\n- **So that:** The system can differentiate between a request for project information and a request to generate a new project scope.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Initial routing will be based on simple intent classification. Out of scope: Complex conversational state management in the MVP.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Agent Development (Knowledge Agent)\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build the Project Knowledge Agent to perform RAG on the Vector DB, retrieving context and generating answers to project-specific questions.\n- **So that:** Team members can get instant, accurate answers about any project's scope, deliverables, or status.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The quality of answers is directly dependent on the quality and completeness of the ingested documents.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Agent Development (Scoping Agent)\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build the Scoping & Estimation Agent to take a reference project, compare its S&P to its Harvest data, and generate a new, adjusted S&P draft.\n- **So that:** Barrel can create new business scopes that are more accurate, data-driven, and profitable.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The logic for \"adjusting\" estimates in the MVP will be based on defined heuristics (e.g., \"increase budget for tasks that historically go over by X%\").\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** API Deployment\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Deploy the agentic system as a secure REST API on Cloud Run, managed via a CI/CD pipeline (e.g., Cloud Build).\n- **So that:** The AI's capabilities are accessible to be integrated into a user interface.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Access to a GitHub repository for source control will be provided.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** MVP User Interface\n- **Role:** FE Developer\n\n### Requirement\n- **I want to:** Build a simple web-based chat interface (e.g., using Streamlit/Gradio) to interact with the API.\n- **So that:** The system's capabilities can be effectively demonstrated to stakeholders and used for initial testing and feedback.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: This UI is a functional prototype for internal use, not a production-ready, branded application. Out of scope: Slack Bot integration (this would be a fast-follow in Phase 2).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "0"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Session History\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement Firestore to store conversation histories (queries and responses).\n- **So that:** The system has a memory, allowing for context in follow-up questions and providing an audit trail for analysis.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Basic session management. Out of scope: Long-term archival and data lifecycle management policies.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Testing & Refinement\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Test the MVP agents against a predefined set of \"golden questions\" based on the Real Good Foods project to measure accuracy.\n- **So that:** The core functionality is validated, and any major issues in the RAG pipeline are identified and fixed before handover.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The set of evaluation questions will be co-created with Barrel to reflect real-world use cases.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Documentation & Handover\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Create technical documentation outlining the system architecture, data flow, and instructions for running and extending the system.\n- **So that:** Barrel's engineering team can understand, maintain, and build upon the delivered MVP.\n\n### Constraints & Assumptions (CRITICAL)\nOut of scope: End-user training manuals or ongoing support post-handover.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** GCP Setup\n- **Role:** Cloud Engineer\n\n### Requirement\n- **I want to:** Set up a GCP account (create project(s), give access to engineers, connect billing ID).\n- **So that:** The project is ready to be worked on and resources are properly billed.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The Customer already has a GCP account. Out of scope: Set up from scratch. Detailed cost allocation and reporting setup for specific services or features. Migration of existing data or infrastructure from other environments into GCP. Advanced security configurations beyond initial access provisioning (e.g., VPN setup, VPC Service Controls, detailed IAM role definitions beyond project-level access).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Planning\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Review customer's existing infrastructure and data structure to clarify next steps in the POC.\n- **So that:** The project is ready to be started.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Out of scope:\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Observability & Monitoring Setup\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Configure Cloud Trace, Monitoring, and Logging for the agentic system.\n- **So that:** We can debug issues, monitor performance, and analyze agent behavior from the start of development.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer will define the specific thresholds for \"basic health check\" alerts (e.g., \"alert if the Cloud Run service 5xx error rate exceeds 1% over 5 minutes\"). Out of scope: Implementing proactive performance tuning based on observability data. The goal is to enable monitoring, not act on the results within this PoC.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Implement [greeter] Agent\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the initial agent to receive requests and ask for the exported data and RFP format specifications.\n- **So that:** The system has a clear and stable entry point that validates the initial inputs before starting the main process.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer will provide a definitive, machine-readable schema (e.g., JSON Schema or an OpenAPI specification snippet) for the initial API request payload. Out of scope: Implementing complex, multi-turn conversational logic to gather missing information from the initial request.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Setup Core Sequential Agent Orchestrator\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement the main sequential agent that orchestrates the flow between the Loop, Parallel, and File Writer agents.\n- **So that:** The overall business process is correctly managed, ensuring agents are called in the correct order.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer will approve the proposed data schema for the state object that is passed between agents. Out of scope: Implementing dynamic agent routing based on the content of the state. The sequence is fixed as defined.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Implement Loop Agent: [researcher]\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the researcher agent to use the Search tool for gathering data from the internet and internal sources.\n- **So that:** The system can enrich the initial data with publicly available information or internal knowledge.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer will provide stable API endpoints, access credentials/keys, and API documentation for any internal knowledge sources. The customer is also responsible for any costs associated with these APIs. Out of scope: The relevance, correctness, or completeness of the information returned by the Search tool.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Implement Loop Agent: [analyzer]\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the analyzer agent to analyze the exported data and RFP format to identify transformation needs.\n- **So that:** The system can programmatically determine the specific steps the transformer needs to perform.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer will provide at least 5 representative examples of \"source data + RFP format rules\" and the corresponding expected structured output. This \"golden set\" will be the target for prompt engineering. Out of scope: Handling fundamentally ambiguous or contradictory RFP rules.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Implement Loop Agent: [transformer]\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the transformer agent that uses an LLM to alter the data to match the RFP format based on the analyzer's output.\n- **So that:** The core data transformation is executed, applying the necessary changes to the content and structure.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer acknowledges that the LLM-based transformation may introduce errors or \"hallucinations.\" The goal is to build the mechanism for transformation, not to guarantee 100% accuracy. Out of scope: A UI or configuration system for managing transformation rules.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Implement Loop Agent: [reviewer]\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the reviewer agent to check transformed data for correctness and compliance, controlling the loop's continuation or exit.\n- **So that:** The system ensures data quality by iteratively refining it until it meets standards, preventing flawed data from proceeding.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer will provide a specific, machine-readable checklist or a set of prompts that define \"correctness and compliance\" for the reviewer agent. Out of scope: The effectiveness of the review loop. Guaranteeing that the loop converges to a \"perfect\" state is an experimental outcome, not a deliverable.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Implement Parallel Agent: [validator]\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the validator agent to run a final check of the data's compliance against RFP rules.\n- **So that:** The data is guaranteed to be compliant with the final set of business rules before being written.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer will provide the final validation rules in a simple, machine-readable format (e.g., a list of required keywords, regex patterns for specific fields). Out of scope: A dynamic rule engine. Rules are considered static for the PoC.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Implement Parallel Agent: [formatter]\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the formatter agent to apply final formatting (e.g., markdown, styling) to the transformed data.\n- **So that:** The output is consistently and professionally formatted according to predefined presentation standards.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer will provide a precise Markdown template or a list of explicit styling instructions. Out of scope: A configurable templating engine; support for formats other than the single, agreed-upon Markdown style.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Implement [file_writer] Agent\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the agent that writes the final markdown output to a .txt file in a specific directory.\n- **So that:** The process concludes by producing a tangible, accessible artifact in the specified location.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer will create the target Cloud Storage bucket and provide its exact name (gs://bucket-name/) and necessary permissions to the service account before development begins. Out of scope: File lifecycle management (e.g., archival policies, deletion), versioning, or writing to a file system.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Setup Model Evaluation & Prompt Versioning\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Configure Vertex AI to track prompt versions and set up an evaluation pipeline for the models used by the agents.\n- **So that:** We can systematically improve agent performance by managing prompts and evaluating model quality over time.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer is responsible for creating and delivering the complete \"golden dataset\" of inputs and expected outputs. This task cannot begin until that dataset is provided and approved. Out of scope: Automatic generation or augmentation of the golden dataset.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Backend API & Deployment\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Containerize the Agent Engine and deploy it as a service on Cloud Run, exposed via a FastAPI endpoint.\n- **So that:** The entire agentic workflow is accessible as a scalable, stateless API endpoint.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer will manage and provide the API key as a secret in GCP Secret Manager. Out of scope: Advanced security (OAuth2, WAF), custom domain configuration, or performance optimization (e.g., setting min-instances).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** QA / Integration Testing\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Perform end-to-end testing of the entire agent flow, from the greeter to the file writer.\n- **So that:** We can verify that the agents work together correctly and the final output matches expectations for a set of test cases.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer is responsible for providing the set of test data, RFP formats, and the corresponding expected final output files. This is a dependency for this task. Out of scope: Formal User Acceptance Testing (UAT) with business stakeholders.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Documentation & Knowledge Transfer\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Create technical documentation for the architecture and agent responsibilities, and conduct a handover session.\n- **So that:** The client's team understands the system's design, how to operate it, and how to perform basic maintenance.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The audience for the documentation and handover is a technical team (e.g., engineers, architects) familiar with GCP and software development concepts. Out of scope: Creating training materials or documentation intended for non-technical business users.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** GCP Setup\n- **Role:** Cloud Engineer\n\n### Requirement\n- **I want to:** Set up a GCP account (create project(s), give access to engineers, connect billing ID)\n- **So that:** The project is ready to be worked on and resources are properly billed.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Client doesn't have a GCP account\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** UC1: Data Understanding & Schema Definition\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Analyze Butterly's sample scraped data and collaborate with the client to define the target JSON output schema.\n- **So that:** We have a thorough and agreed-upon understanding of the data structure the AI needs to generate, ensuring it meets Butterly's needs.\n\n### Constraints & Assumptions (CRITICAL)\nDependency: Butterly provides a representative variety of sample scraped data from their third-party tools (as discussed, with 6-10 recent posts).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** UC1: Build Core Endpoint\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build the Cloud Function framework triggered by data landing in GCS and define the standard JSON output schema in the code.\n- **So that:** The basic skeleton of the service is in place for adding the core analysis logic.\n\n### Constraints & Assumptions (CRITICAL)\nOut of Scope: The full, complex analysis logic; this task is focused on creating the service structure and data flow only.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** UC1: Implement Analysis Logic\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the AI logic using Gemini Multimodal to analyze text, images, and video content for themes, style, and authenticity.\n- **So that:** The service can accurately categorize influencer content and provide an AI-driven authenticity score, as requested by the client.\n\n### Constraints & Assumptions (CRITICAL)\nOut of Scope: Handling wildly new data structures from different scrapers not seen during discovery. Assumption: Authenticity checks are to be handled by the AI, not by integrating another third-party API.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "56"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** POC Testing & Refinement\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Test the Zazmic-built components (ingestion, analysis, and JSON output) with sample data to ensure reliability and accuracy.\n- **So that:** The POC demonstrates the core AI capabilities reliably and is ready for hand-off and presentation.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Testing is focused on the Zazmic-built components. Out of Scope: Full end-to-end integration testing within Butterly's production environment.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Workshop & Documentation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Prepare and deliver the workshop and provide clear documentation for the API/endpoint and the defined JSON schema for hand-off.\n- **So that:** Butterly understands how the AI services work, how to integrate them, and how to leverage the structured JSON output.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Includes preparation, dry-runs, and the final delivery of the workshop and documentation.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** GCP Setup & Security\n- **Role:** Cloud Architect\n\n### Requirement\n- **I want to:** Set up the GCP project and link the billing account\n- **So that:** The project is ready for development and resources can be billed properly\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer already has a GCP account and billing information. Out of scope: Complex network configurations (VPC).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** Cloud Architect\n\n### Requirement\n- **I want to:** Define and configure specific IAM roles for engineers and service accounts\n- **So that:** We follow the principle of least privilege for a secure environment\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Client provides a list of users and required access levels. Out of scope: Advanced security policies (VPC-SC).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** Cloud Architect\n\n### Requirement\n- **I want to:** Configure budget alerts that send notifications to key stakeholders\n- **So that:** The team is proactively notified of potential cost overruns\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The client will provide the budget thresholds and notification emails.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "4"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Quick Win Analysis\n- **Role:** Cloud Architect\n\n### Requirement\n- **I want to:** Analyze the current MongoDB on GPU configuration\n- **So that:** We can provide an immediate recommendation to reduce baseline costs\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Client provides read-only access to their MongoDB Atlas configuration. Out of scope: Implementing the recommended changes.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Data Foundation\n- **Role:** Data Engineer\n\n### Requirement\n- **I want to:** Create a service account with the correct permissions to access GCS and MongoDB\n- **So that:** The Vertex AI Pipeline can securely read the necessary data for training\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Necessary credentials and access paths for data sources are available.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the data loading and preprocessing component for the pipeline\n- **So that:** Data is correctly formatted and ready for the training step\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Data quality is the client's responsibility. Out of scope: Complex feature engineering.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** On-Demand Training Pipeline\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Wrap the existing Python training script in a Docker container\n- **So that:** The training code can be run consistently and repeatably\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer's Python script is functional and has a requirements.txt. Out of scope: Debugging or refactoring the script's core logic.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build the Vertex AI Pipeline with all components (Validation, Training, Evaluation, etc.)\n- **So that:** The end-to-end training process is orchestrated and automated\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Client provides the \"golden\" dataset for model evaluation. Out of scope: Developing evaluation metrics from scratch.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement the mechanism for the client to manually trigger the pipeline\n- **So that:** The team can run the training process \"on-demand\"\n\n### Constraints & Assumptions (CRITICAL)\nScope: The trigger will be a documented gcloud command or a manual run via the GCP Console. Out of scope: Building a custom UI for the trigger.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Runaway Job Monitor\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop a Cloud Function that checks for and cancels long-running jobs\n- **So that:** We have a secondary safeguard to prevent extreme cost overruns\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The timeout threshold will be a configurable variable.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "12"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** Cloud Architect\n\n### Requirement\n- **I want to:** Configure Cloud Scheduler to trigger the function hourly\n- **So that:** The monitor runs automatically and consistently\n\n### Constraints & Assumptions (CRITICAL)\nScope: Trigger is limited to a fixed hourly schedule.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "4"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Flexible Inference PoC\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Deploy a trained model to both a Vertex AI Endpoint and as a Batch Prediction job\n- **So that:** We can demonstrate the functionality and trade-offs of both methods\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The model is compatible with Vertex AI's serving containers.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Documentation & Handoff\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Document the new architecture and the process for running the pipeline\n- **So that:** The ESM team can operate the solution autonomously\n\n### Constraints & Assumptions (CRITICAL)\nScope: Handoff is limited to technical documentation and a review session. Out of scope: Creating user manuals or ongoing operational support.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** GCP Foundation & Security\n- **Role:** Cloud Engineer\n\n### Requirement\n- **I want to:** provision a new, clean GCP project with billing and APIs enabled\n- **So that:** the development team has a foundational environment to start building in.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: \u2022 The Customer already has a GCP account. Out of scope: \u2022 Set up from scratch. \u2022 Detailed cost allocation and reporting setup for specific services or features. \u2022 Migration of existing data or infrastructure from other environments into GCP. \u2022 Advanced security configurations beyond initial access provisioning (e.g., VPN setup, VPC Service Controls, detailed IAM role definitions beyond project-level access).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Data Source Discovery\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Go through the Data Axle API in detail to understand the REST API endpoints\n- **So that:** Building the main count extraction tool\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: - The data exchange format (JSON) is clearly defined and agreed upon. - Authentication is handled via a simple API key or IAM-based mechanism. Out of Scope: -Building any part of the Data Axle consumer, implementing complex authentication protocols like OAuth2\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Infrastructure Discovery\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** set up a GitHub repository with initial project structure for the AI, backend and frontend\n- **So that:** we have a clean, organized codebase from the start.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: GitHub Repository is available. Out of Scope: A complex branching strategy; a simple feature-branch workflow is sufficient.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Conversational AI Agent\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** develop a REACT agent using langGraph that have a single tool to access the DataAxle\n- **So that:** the agent should figure out the correct values for the available parameters on the REST API endpoint to get the count of the available datapoints as per the user request.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: the agent will be able to access a single DataAxle REST API endpoint regardless of the resiliance or the latency of the REST API endpoint. Out of Scope: Long-term memory (user profiles).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Conversational AI Agent\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Add a data persistence mechanism\n- **So that:** the agent should be able to save the user info along with the count of data points and parameters to reproduce the output and conversation history.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: the agent going to save the data to a temp CSV file that will be synced with a google sheet Out of Scope: Database integration\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "10"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** DevOps & Deployment\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** deploy the LangGraph agent backend to a serverless GCP environment (e.g., Cloud Run)\n- **So that:** the agent is live, accessible via API, and can scale to handle requests.\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: \u2022 The application has a stateless design, making it suitable for serverless environments like Cloud Run. \u2022 The application is confirmed as a FastAPI to be containerizable with a provided Dockerfile. \u2022 The necessary IAM permissions are granted for the deployment pipeline (e.g., Cloud Build, Artifact Registry, and Cloud Run deployer roles). \u2022 A basic CI/CD pipeline (e.g., a Cloud Build trigger from a git repository) can be configured. Out of scope: \u2022 Deployment to other container environments (e.g., Google Kubernetes Engine - GKE). \u2022 Configuration of complex network security rules (e.g., VPC Service Controls) beyond standard firewall settings. \u2022 Setting up custom domains, SSL certificates, or advanced load balancers beyond the standard Cloud Run service URL.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "12"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Frontend Chatbot Component\n- **Role:** FE Developer\n\n### Requirement\n- **I want to:** develop an embeddable Chatbot Widget (wrapping the React UI)\n- **So that:** the chat interface can be easily injected into \"BB Direct\" and other external websites via a script tag.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: \u2022 UI framework (React or equivalent) to build basic chatting interface \u2022 The widget will use an iframe or Web Component to isolate styles. Out of scope: \u2022 Customer provides basic UI/UX guidelines or accepts default styling (e.g., MUI/Tailwind). \u2022 Backend API for data and logs is available and stable. \u2022 Advanced custom design system or pixel-perfect UI implementation. \u2022 End-user training manuals or onboarding flows. \u2022 Automated testing frameworks beyond basic UI validation \u2022 Analytics dashboard for widget usage.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Integration & Delivery\n- **Role:** FE Developer\n\n### Requirement\n- **I want to:** deploy the widget specifically on the \"BB Direct\" website and integrate it with the live agent\n- **So that:** users on the BB Direct platform can interact with the Data Axle agent seamlessly.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Access to BB Direct source code or CMS is provided. Out of Scope: profound modifications to the BB Direct parent site layout.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "10"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Integration & Delivery\n- **Role:** FE Developer\n\n### Requirement\n- **I want to:** configure and deploy the widget for environments outside of BB Direct\n- **So that:** the solution can be demonstrated or utilized on partner sites or standalone testing pages.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: CORS policies on the backend are updated to allow these external domains. Out of Scope: White-labeling (branding customization) for every external site.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "10"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Quality Assurance & Testing\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** perform end-to-end (E2E) testing of the entire user flow, from chat input to lead notification\n- **So that:** we can validate that all components of the system work together as expected.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: An E2E testing framework like Cypress or Playwright will be used. Out of Scope: Automated visual regression testing.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Documentation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** document the POC architecture, findings, and a high-level plan for productionizing the solution\n- **So that:** we can provide a clear path forward based on the POC results.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The output is a presentation and a short document. Out of Scope: A full production-level design document.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** GCP Setup\n- **Role:** Cloud Engineer\n\n### Requirement\n- **I want to:** Set up a GCP account (create project(s), give access to engineers, connect billing ID).\n- **So that:** The project is ready to be worked on and resources are properly billed.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The Customer already has a GCP account. / The Customer doesn't have a GCP account Out of scope: Set up from scratch. Detailed cost allocation and reporting setup for specific services or features.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Planning\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Review customer's existing infrastructure and data structure to clarify next steps in the POC.\n- **So that:** The project is ready to be started.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Customer provides retention policy. All resources deployed in a single GCP region (e.g., us-central1). Out of scope: Multi-region replication, DR setup, or CMEK keys.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Data Foundation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Analyze source data and define the BigQuery Schema for the Video Catalog\n- **So that:** We have a standardized format (JSONL) that supports specific attributes like \"Threat Level\" and \"Business Value\"\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Customer must provide the Data Dictionary and files in a clean, flat format (CSV/JSONL). Out of scope: Complex ETL from 3rd party APIs, data cleansing/fixing corrupt records, or handling unstructured data.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Data Foundation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Define the BigQuery Schema for User Events (Views, Clicks, Hovers)\n- **So that:** We capture the specific behavioral signals required to train the model\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Customer must provide at least 30 days of historical data to avoid \"cold start\" issues. Customer defines what constitutes a \"view\" (e.g., time threshold). Out of scope: Generating synthetic historical data.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Media Recommendation Implementation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Configure Vertex AI \"Data Stores\" and perform the initial Catalog Import\n- **So that:** The underlying search index is built and ready for query\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Data is already present and valid in BigQuery (dependent on previous tasks). Out of scope: Real-time insertion of new video assets into the index (streaming updates); POC supports batch updates only.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Media Recommendation Implementation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Configure Serving Configs (Algorithm Selection) and sync Historical User Events\n- **So that:** The model has a baseline of user history to make non-cold-start predictions\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: We utilize standard \"out-of-the-box\" algorithms provided by Vertex AI (e.g., \"Recommended for You\"). Out of scope: Custom model training (TensorFlow/PyTorch), custom embeddings, or hyperparameter tuning.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** API Development\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the POST /events Ingestion Endpoint (Cloud Run)\n- **So that:** The system can receive real-time interaction signals from the client\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The endpoint strictly accepts the JSON schema defined in Task 2. Stateless requests (no session management). Out of scope: Implementation of event tracking code on the Client/Frontend side.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** API Development\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop the core GET /recommendations Integration (Vertex AI Call)\n- **So that:** The API can retrieve a raw list of Video IDs and Relevance Scores from Vertex AI\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The output is a Flat List (Array) of Video IDs. Out of scope: Strictly OOS: Any logic related to X, Y, Z coordinates, grid structures, or UI rendering. No Latency SLAs (e.g., <100ms).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** API Development\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop Metadata Enrichment Logic (BigQuery Lookup)\n- **So that:** The API response includes the \"Threat Level\" and \"Value\" tags for each video ID (needed for the next filtering step)\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The metadata tags required for filtering exist in the BigQuery Catalog table. Out of scope: Real-time fetching of metadata from external 3rd party APIs.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** API Development\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop Post-Processing Filtering Logic\n- **So that:** We can remove videos from the list if they don't meet specific metadata criteria (e.g., \"Exclude Threat < 3\")\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Rules are simple Boolean logic provided by the Customer (e.g., IF tag == 'X' THEN remove). Out of scope: Complex/Chained logic, dynamic Rule Injection, or a \"Rules Engine\" UI for business users.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** QA/Testing\n- **Role:** QA Engineer\n\n### Requirement\n- **I want to:** Functional Testing of Event Ingestion\n- **So that:** Verify that events sent to the API actually appear in the Vertex AI Datastore\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Verification via logs/database checks. Out of scope: Performance testing (Throughput/Load) or Stress testing.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** QA/Testing\n- **Role:** QA Engineer\n\n### Requirement\n- **I want to:** Functional Testing of Recommendations & Filters\n- **So that:** Verify that the API returns the correct number of items and respects the \"Exclude\" filters\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Testing is limited to API contract verification (Input -> Output). Out of scope: Evaluation of recommendation \"quality\" (subjective relevance) or accuracy metrics (CTR/Conversion targets).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** GCP Setup\n- **Role:** Cloud Engineer\n\n### Requirement\n- **I want to:** Set up a GCP account (create project(s), give access to engineers, connect billing ID).\n- **So that:** The project is ready to be worked on and resources are properly billed.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Lantern provides access to 3 months of anonymized data. Out of scope: Production-grade security setup, detailed cost optimization.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Planning\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Review customer's existing infrastructure and data structure to clarify next steps in the POC.\n- **So that:** The project is ready to be started.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The client will work with GCP. POC operates on sampled data (1% of production traffic) and limited time windows to validate the architecture. Full-scale deployment planning will follow successful POC validation. Out of scope: Production-scale infrastructure sizing, full traffic processing, global deployment strategy.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 1: Data Exploration\n- **Role:** Data Engineer\n\n### Requirement\n- **I want to:** Analyze BigQuery schema and data quality for proxy_bytes and protocol_performance tables\n- **So that:** We understand data patterns and can design appropriate models\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: POC will analyze a representative sample (1%) of traffic to validate approach. Data includes user_id, device_id, ISP protocol, success, latency, bytes_transferred. The data will be in tabular format. Out of scope: Data older than 6 months, PII handling.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 1: Basic Analytics Pipeline\n- **Role:** Data Engineer\n\n### Requirement\n- **I want to:** Create materialized views for hourly protocol performance by ISP\n- **So that:** Thompson Sampling can query aggregated data efficiently\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: 10TB of historical data, 500K events/sec streaming rate. Out of scope: Real-time streaming pipeline (Phase 2)\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 1: Gate Validation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Validate BigQuery performance and data quality meets requirements\n- **So that:** We can proceed to ML implementation with confidence\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Customer available for gate review. Out of scope: Performance under peak load\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 2: Thompson Sampling Core\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement contextual Thompson Sampling with Beta distributions for success/failure\n- **So that:** The system can intelligently assign protocols based on historical performance\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Start with 50 most common protocol/datacenter combinations. Out of scope: All 200+ combinations, correlation modeling.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 2: Assignment API\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build REST API for protocol assignments with caching\n- **So that:** Clients can request optimal protocols with <100ms latency\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: 10K requests/second peak load. Out of scope: Push notifications, client SDK integration\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 2: A/B Testing Framework\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement assignment tracking and success measurement\n- **So that:** We can compare Thompson Sampling vs static assignments\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: 10K test users available. Out of scope: Statistical significance for all ISPs\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 2 Gate Validation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Validate Thompson Sampling performance improvement and API latency\n- **So that:** Customer sees tangible value before investing in anomaly detection\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: A/B test runs for 1 week. Out of scope: Long-term performance validation\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 3: EWMA Implementation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build EWMA model for real-time anomaly detection\n- **So that:** Censorship events are detected within 30 seconds\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Censorship causes >50% failure spike. Out of scope: Complex anomaly types, seasonal adjustments\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 3: Real-time Stream Processing\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Set up Dataflow pipeline for streaming connection events\n- **So that:** EWMA can process events with <10s latency\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: POC processes 5K events/sec (1% sample) to validate <30s detection latency. Pub/Sub message format defined. Out of scope: Deduplication, complex enrichment\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 3: Alert System\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Create alerting mechanism for detected censorship\n- **So that:** Evasion strategies can be triggered automatically\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Simple threshold-based alerts. Lantern must establish these tresholds. Out of scope: Alert routing, escalation policies\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 3: Gate Validation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Demonstrate anomaly detection on historical censorship events\n- **So that:** Customer confidence in detection accuracy before evasion implementation\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Historical events available for testing. Out of scope: Novel censorship techniques\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 4: Protocol Weight Updates\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement rapid weight changes when evasion succeeds\n- **So that:** Thompson Sampling learns from evasion results\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Simple weight boost for success. Out of scope: Complex weight decay models\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 4: Evasion Strategy Documentation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Detailed technical guide for evasion implementation\n- **So that:** Lantern engineers can implement specialized protocols\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: Research papers available. High-level architecture sufficient. Out of scope: Actual protocol implementation. Low-level coding.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 4: Evasion Integration API Design\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Clear API contracts between ML system and evasion modules\n- **So that:** Lantern can plug in their evasion implementations\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: Lantern provides evasion requirements/constraints. Standard REST/gRPC patterns sufficient. Out of scope: Evasion logic implementation. Performance guarantees for packet manipulation. Security audit of API design.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 4: Gate Validation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Lantern approval that proposed architecture is implementable\n- **So that:** Customer can proceed with evasion development while we work on pattern recognition\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: Documentation review meeting with Lantern engineers. Out of scope: Live evasion testing, implementation validation. Geneva / TLS engineering.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 5: Pattern Recognition\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build temporal pattern detection for censorship prediction\n- **So that:** System can predict likely censorship windows\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Traditional ML. Focus on temporal patterns only. Out of scope: Complex correlation analysis. Political event prediction\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 5: Proactive Deployment\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Configure system to cache alternative protocols in regions before predicted censorship.\n- **So that:** Users instantly switch protocols when censorship is predicted, minimizing connection drops\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Manual trigger for pre-deployment. Out of scope: Automatic scaling, cost optimization\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Phase 5: Testing\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Conduct system test with simulated censorship\n- **So that:** Validate components work together\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Testing focuses on specific scenarios/regions rather than global deployment. Realistic test data available. A specific rollout strategy will be put into place. Out of scope: Stress testing, chaos engineering.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Final Gate & Handoff\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Present complete POC with metrics and recommendations\n- **So that:** Customer can make informed decision on production rollout\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: 3-week live test data available. Out of scope: Production deployment plan.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** Devops engineer\n\n### Requirement\n- **I want to:** Set up a GCP account (create project(s), give access to engineers, connect billing ID)\n- **So that:** The project is ready to be worked on and resources are properly billed.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Customer already has a GCP account set up. Out of scope: GCP account setup from scratch. Detailed cost monitoring setup beyond basic billing alerts (e.g., custom dashboards for cost breakdown by service). Enterprise-level networking configurations (e.g., VPNs to on-prem, complex firewall rules beyond basic access).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Design the Cloud SQL (pgvector) schema and indexes for document embeddings\n- **So that:** The vector database supports fast semantic search and scales with additional documents.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: A Cloud SQL instance will be provisioned by DevOps. Out of scope: Vertex Matching Engine deployment.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build a Vertex AI-powered embedding pipeline (loader->chunker->embedding call)\n- **So that:** SOP/case-study paragraph is converted to a vector for retrieval\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Source documents will be provided in Google Cloud Storage (GCS). Out of scope: Automatic web crawling.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement an incremental \u201cembedding-upsert\u201d Cloud Function\n- **So that:** New/updated documents are automatically added to the vector database without full re-index.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: A mechanism will be in place to automatically trigger the Cloud Function when new or updated documents arrive in GCS. Out of scope: Delete/merge logic for obsolete documents\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Wrap the pgvector store with LangChain PostgresVectorStore retriever\n- **So that:** The agent can fetch top-k relevant snippets in a single API call.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The LangChain library version and dependencies are compatible with the existing environment. Out of scope: Optimization of retriever performance for latency or recall metrics. Advanced filtering or metadata handling beyond basic pgvector capabilities within LangChain.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Integrate Gemini-flash via LangChain VertexAI wrapper\n- **So that:** We can unlock LLM reasoning & generation for the agent.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Vertex AI project access and quota approval are already in place. Out of scope: Fine-tuning of the Gemini-flash model. Evaluation of different LLM models beyond Gemini-flash. Performance benchmarking of LLM inference latency or throughput. Cost optimization of LLM API calls.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement the multi-agent architecture (Manager + Case-Study + On-Page + Off-Page experts) in LangGraph\n- **So that:** Each specialist focuses on its domain, manager compiles coherent output.\n\n### Constraints & Assumptions (CRITICAL)\nOut of scope: Comprehensive performance profiling of the LangGraph execution flow. Optimization of inter-agent communication overhead. Handling of complex conversational states beyond basic turn-taking.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "64"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Create prompt templates & system messages for each agent role\n- **So that:** Outputs follow SEO best-practice tone and structure.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The SEO team will provide specific style guidelines. Out of scope: prompt-tuning via RLHF.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "12"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build BigQueryQueryTool using LangChain SQLDatabaseChain\n- **So that:** The agent can run parameterised analytics queries (e.g., low-CTR pages).\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The service account has necessary BigQuery read rights. Out of scope: write-back from this tool.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "4"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build KnowledgeSearchTool that calls the pgvector retriever\n- **So that:** The agent enriches answers with SOP/case-study excerpts.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The pgvector retriever from the Knowledge Base & Vector Store component is available. Out of scope: citation formatting beyond basic snippet inclusion.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement AI-output writer to BigQuery (AI_insights table)\n- **So that:** User can access agent's outputs\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The BigQuery service account has write permissions to this specific table. Out of scope: Data warehousing optimization for the AI_insights table. Complex data transformations before writing to BigQuery. Real-time data streaming to BigQuery.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Containerise the agent service (Dockerfile + poetry/conda) for Cloud Run\n- **So that:** We have reproducible builds and autoscaling execution.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Base image guidelines for containerization exist. Out of scope: multi-arch builds.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Expose a secure Cloud Run endpoint and wire Cloud Scheduler cron\n- **So that:** The agent runs nightly without manual triggers.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: DevOps will assist with IAM configurations and Cloud Scheduler creation if needed. Out of scope: Airflow/Composer migration\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Add structured logging & LangChain callback tracing\n- **So that:** Developers can debug tool usage and LLM latency.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Cloud Logging sink is active. The chosen tracking tool (e.g., Langfuse) can be integrated without significant architectural changes during the POC phase. Out of Scope: Detailed performance monitoring and optimization efforts beyond enabling basic tracking of LLM outputs. Implementation of a comprehensive Application Performance Monitoring (APM) solution. Setting up alerts or automated responses based on latency metrics during the POC.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "4"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Configure log-based error metrics & alert policies for agent failures\n- **So that:** The team is notified if a nightly run crashes.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Budget alerts are already configured within the GCP environment. Out of scope: end-user alerts.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build an evaluation harness (unit tests + sample queries) to score recommendation relevance\n- **So that:** We catch regressions when prompts or tools change.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: A small, labeled dataset for evaluation will be provided by SEO Subject Matter Experts (SMEs). Out of scope: automated BLEU/ROUGE metrics for long-form copy.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** N/A\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Produce technical documentation (README, architecture diagrams, prompt catalog, runbook) and hand-off guide\n- **So that:** New engineers and stakeholders can understand, operate, and extend the system without tribal knowledge.\n\n### Constraints & Assumptions (CRITICAL)\nOut of scope: Creating user manuals, training materials, or providing ongoing documentation updates post-POC.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Bandwidth Setup\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Create a Bandwidth account, procure 10DLC phone number(s), and configure WebSocket streaming for voice calls\n- **So that:** The telephony infrastructure is ready to receive and transmit voice calls to/from the AI system\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Customer does not have a Bandwidth account. Basic phone number provisioning is sufficient. Out of Scope: Multiple phone numbers for load distribution. Advanced call routing rules.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "15"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Newton Health API Discovery\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Review API documentation, test key endpoints (GetProvidersList, GetEarliestSlot, CreateApptNewPt, CancelAppt, RescheduleAppt), and document integration requirements\n- **So that:** Clear understanding of API contracts, authentication, and data formats for seamless integration\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: APIs are documented and accessible. Test environment is available. Out of Scope: API modifications or custom endpoint development. Performance optimization of Newton Health APIs.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "12"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Core Agent: Router Agent\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build a Router Agent using ADK that classifies patient intent (schedule, cancel, reschedule, FAQ) and routes to appropriate specialist agent\n- **So that:** The system can intelligently direct conversations to the right handler based on user's opening statement\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Agent uses Gemini for intent classification. Supports English and Spanish out-of-the-box. Out of Scope: Complex multi-turn disambiguation for ambiguous intents.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "20"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Core Agent: Patient Information Agent\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop a Patient Info Agent that collects and validates PII/PHI (name, DOB, phone, email) with confirmation loops and spelling verification\n- **So that:** The system can gather required patient data accurately and securely for new and returning patients\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Agent handles both new patient intake and verification of existing patient data. Includes data validation logic. Out of Scope: Integration with external identity verification services. OCR for document uploads.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "35"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Core Agent: Scheduling Agent\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Create a Scheduling Agent that manages appointment logic, checks availability, handles provider preferences, and confirms bookings\n- **So that:** Patients can successfully book, modify, or inquire about appointments through natural conversation\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Agent coordinates with API Tool Agent for backend calls. Handles multi-turn conversations for slot preferences. Out of Scope: Complex scheduling rules (e.g., buffer times, provider-specific constraints beyond API data).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "40"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Core Agent: FAQ Agent\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build an FAQ Agent that answers common practice questions (hours, location, insurance, policies) using a knowledge base\n- **So that:** Patients can get immediate answers to routine questions without human intervention\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Customer provides initial FAQ content. Agent uses RAG or structured knowledge base. Out of Scope: Real-time website scraping for FAQ updates. Integration with practice management system for dynamic info (e.g., current wait times).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "30"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Core Agent: Cancellation Agent\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop a Cancellation Agent that verifies patient identity, confirms cancellation intent, and processes appointment cancellations\n- **So that:** Patients can easily cancel appointments via phone with proper verification and confirmation\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Agent retrieves upcoming appointments for verification. Provides confirmation number after cancellation. Out of Scope: Refund processing. Automated rebooking suggestions.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "28"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** API Tool Agent & Integration\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Create an API Tool Agent that provides secure, standardized interface for other agents to call Newton Health APIs with proper error handling\n- **So that:** All agents can reliably interact with backend services without duplicating integration logic\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Handles authentication, rate limiting, and error responses. Returns structured data to calling agents. Out of Scope: Caching layer for API responses. Batch API operations.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "35"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Memory Tool Development\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop a Memory Tool that accesses Vertex AI's memory management to retrieve all previous sessions for a user (identified by phone number)\n- **So that:** Agents can provide personalized greetings and reference past conversations for better user experience\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Uses Vertex AI Agent Engine's native memory management. Phone number is the unique identifier. Out of Scope: Cross-session analytics. Memory pruning or archival strategies.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "12"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Agent Deployment to Vertex AI\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Deploy all ADK-built agents to Vertex AI Agent Engine with proper configuration for tools, memory, and session management\n- **So that:** The multi-agent system is running on Google's managed infrastructure with scalability and reliability\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Standard Vertex AI deployment process. Uses default auto-scaling. Out of Scope: Custom scaling policies. Multi-region deployment for redundancy.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "20"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** FastAPI Service Development\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build a FastAPI application that handles Bandwidth WebSocket connections, manages audio streaming to/from Gemini Live, and orchestrates agent calls\n- **So that:** The system can process real-time voice calls by bridging telephony with the AI agent system\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Handles bidirectional audio streaming. Manages session state. Includes basic error handling and logging. Out of Scope: Advanced call analytics. Call recording features. Custom audio preprocessing.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "35"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Gemini Live Integration\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Integrate Gemini Live API for real-time speech-to-text and text-to-speech processing with proper audio format handling\n- **So that:** The system can convert patient speech to text for agents and generate natural voice responses\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Uses Gemini's native multilingual support (English/Spanish). Standard voice settings. Out of Scope: Custom voice training. Advanced audio quality optimization. Voice emotion detection.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "15"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Session Management System\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement session tracking to maintain conversation state, store user context, and handle session timeouts\n- **So that:** The system can manage multi-turn conversations and recover gracefully from interruptions\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Uses Vertex AI's session management as primary store. Implements timeout handling. Out of Scope: Session migration across channels. Advanced conversation recovery mechanisms.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "25"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Infrastructure: Docker Containerization\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Create Dockerfile for the FastAPI service with optimized dependencies and configuration\n- **So that:** The application is packaged for consistent, reproducible deployment to Cloud Run\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Single-stage Docker build. Standard Python base image. Out of Scope: Multi-stage builds. Container image size optimization below standard practices.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "10"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Infrastructure: Cloud Run Deployment\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Deploy FastAPI service to Cloud Run with environment variables, secrets management, and service account configuration\n- **So that:** The telephony bridge service is running as a scalable, serverless application\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Standard Cloud Run deployment. Secrets via Secret Manager. Basic auto-scaling. Out of Scope: Blue-green deployment. Multi-region setup. Custom domain configuration.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "15"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** End-to-End Call Testing\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Conduct comprehensive testing with real phone calls covering all user journeys (scheduling, cancellation, FAQ) in both English and Spanish\n- **So that:** The system reliably handles real-world scenarios and edge cases with acceptable voice quality and response times\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Testing covers happy paths and common error scenarios. Includes both languages. Documents issues and performance metrics. Out of Scope: Formal load testing. Automated regression testing suite. User acceptance testing with real patients.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "35"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Error Handling & Logging\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement comprehensive error handling, logging, and monitoring across all system components\n- **So that:** Issues can be quickly identified and debugged in production\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Uses Cloud Logging. Basic alerting for critical errors. Out of Scope: Advanced APM tools. Custom dashboards. Comprehensive tracing across all components.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "20"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Documentation\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Create technical documentation covering system architecture, agent behaviors, API integrations, and deployment procedures\n- **So that:** The team and client have clear reference materials for maintenance and future enhancements\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Covers key technical areas and basic troubleshooting. Includes system diagram and agent flowcharts. Out of Scope: End-user training materials. Video tutorials.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "15"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Project Setup & IAM\n- **Role:** Cloud Engineer\n\n### Requirement\n- **I want to:** Configure the GCP project, enable necessary APIs (Vertex AI, Cloud Run, Cloud Storage), and set up IAM service account roles\n- **So that:** The GCP environment is ready with all required services enabled and secure permissions for the backend application.\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: The customer has an existing GCP organization and will provide the necessary access. Standard IAM roles are sufficient. Out of Scope: Organization-level security policies, complex custom IAM roles.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "12"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Video Ingestion & Pre-processing (Cloud Run)\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Develop a service on Cloud Run that triggers when a new game video is uploaded to Google Cloud Storage\n- **So that:** The system can automatically begin the analysis pipeline for each new game.\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: Videos are uploaded in a supported format (e.g., MP4). The video file path is correctly passed to the service. Video length should be limit to 3 hours. Out of Scope: Real-time streaming ingestion (RTMP), complex video transcoding logic.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "30"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Shot Detection Model (Vertex AI YOLOv8)\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Deploy a existing YOLOv8 model, that is already finetuned on Hoop detection\n- **So that:** The model can accurately detect the person, ball and basketball hoop in video frames.\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: Pre finetuned version of Yolo is sufficient for this need, The lighting and camera angles in the games are consistent enough for the model to perform accurately. Pretrained hoop dection should also work on your videos. Out of Scope: Fine-tuning the Yolo model. Guaranteed accuracy beyond the model's inherent capabilities.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "30"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Event Flagging & Clipping (Cloud Run)\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement logic within the Cloud Run service to receive detections from the YOLOv8 model, identify when a 'ball' and 'hoop' are in close proximity, flag that timestamp, and trim a 30-second clip around it\n- **So that:** The system can isolate potential shot events into short clips for detailed analysis, making the process efficient.\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: The logic for \"in the same grid\" is a definable and reliable heuristic for a potential shot. FFmpeg or a similar library can be containerized within Cloud Run for video clipping. Out of Scope: Advanced trajectory analysis to predict shots; handling multiple balls/hoops in a single frame.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Detailed Shot Analysis (Vertex AI Gemini)\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Integrate the Cloud Run service with a Vertex AI Gemini 2.5 pro model by sending it the 30-second clips\n- **So that:** Gemini can analyze the clips to provide structured data on the shot outcome (made/missed), the shooting team/player, and the shot type (1, 2, or 3-point).\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: A standard Gemini Pro model can achieve the required accuracy via prompt engineering without fine-tuning. Shot types and team jerseys are clearly visible in the 30s clips. Out of Scope: Fine-tuning the Gemini model. Guaranteed accuracy beyond the model's inherent capabilities.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Results Storage & Management & Orchestration\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Store the final structured JSON output from the Gemini analysis into Google Cloud Storage\n- **So that:** There is a persistent, queryable log of all analyzed shot events for each game.\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: Storing results as individual JSON files in GCS is sufficient. The JSON format is clearly defined. Out of Scope: Loading results into a database (e.g., BigQuery) for advanced analytics, building a results dashboard.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "38"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Testing & QA\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Conduct end-to-end testing of the entire pipeline, from video upload to final JSON result generation\n- **So that:** The entire workflow performs reliably, and the data returned is consistently structured and accurate.\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: Testing focuses on the backend logic, integrations, and data format validation. Out of Scope: Large-scale load/stress testing, UI/frontend testing, manual review of AI-generated data for semantic accuracy at scale.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Documentation & Knowledge Transfer\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Document the system architecture, service configurations, and the overall data flow\n- **So that:** A future developer can understand, maintain, and extend the system.\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: The development team is available for knowledge transfer sessions. Out of Scope: Creating formal end-user training materials or extensive, multi-day training programs.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** GCP Setup\n- **Role:** Cloud Engineer\n\n### Requirement\n- **I want to:** Set up a GCP project, configure IAM permissions for the team, and connect the billing ID. Provision Cloud SQL (Postgres 17) with pgvector and Memorystore (Redis). Deploy services to Cloud Run.\n- **So that:** The project is ready to be worked on and resources are properly billed.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: \u2022 The Customer already has an existing GCP organization and will provide the necessary permissions. Out of scope: \u2022 Set up from scratch. \u2022 Detailed cost allocation and reporting setup for specific services or features. \u2022 Migration of existing data or infrastructure from other environments into GCP. \u2022 Advanced security configurations beyond initial access provisioning (e.g., VPN setup, VPC Service Controls, detailed IAM role definitions beyond project-level access).\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Discovery & GCP Analysis\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Analyze the current schema and map it to Cloud SQL. Review existing Dockerfiles for Cloud Run compatibility.\n- **So that:** We ensure the migration to GCP is seamless and leverages managed services.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Client provides access to GCP Organization. Out of Scope: Refactoring code for non-containerized environments.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Memory Architecture\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Implement the \"Observer\" workflow using Vertex AI (Gemini) to process chat logs.\n- **So that:** We leverage Gemini's long context window to extract insights efficiently.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Vertex AI API quotas are sufficient. Out of Scope: Custom fine-tuning of Gemini models.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "36"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Tool Definition\n- **Role:** Data Analyst\n\n### Requirement\n- **I want to:** Define Function Calling tools for Gemini to read/write to the Rust API.\n- **So that:** The Agent can autonomously update project status in Cloud SQL.\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Backend API is accessible within the GCP VPC.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "36"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Validation and testing\n- **Role:** QA Engineer\n\n### Requirement\n- **I want to:** Test end-to-end flow on GCP environment.\n- **So that:** Ensure latency between Cloud Run, Vertex AI, and Cloud SQL is optimized.\n\n### Constraints & Assumptions (CRITICAL)\nOut of Scope: Load testing >10k concurrent users.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Basic QA/Testing\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** (roughly 20% of whole project hours)\n- **So that:** Agent can be tested and improved\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Out of scope:\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Trojan project\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Design a new workflow splitting Agents and responsibilities\n- **So that:** The process is modular\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Only 2 playbooks : Main routing Playbook and the Document Playbook Out of scope: developing new playbook to handle additional cases\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Trojan project\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Rewrite Router Agent\n- **So that:** Overall conversation can be managed\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Same logic of the current process but better structured. Capturing up to 5 parameters during the conversation. Out of scope: additional logics (need to be estimated separate)\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Trojan project\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Rewrite Document Agent\n- **So that:** Agent can answer Document related questions\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: Same logic of the current process but logic improved. Capturing up to 5 parameters during the conversation. The goal of this playbook is only to return an answer based on the domain knowledge. This playbook can also redirect to the main playbook or scalation (placeholder) if needed. The logic of maximum retries is also here Out of scope: Additional logics.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "16"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Trojan project\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Build and deploy a Vector DB with the current images\n- **So that:** Vector Database is available for storing image embeddings\n\n### Constraints & Assumptions (CRITICAL)\nAssumption: The customer provides a group of documents whose images will be extracted. The customer will define the images acceptable to embed or all images present in the document will be converted to embeddings Up to 3 metadata fields. Bigquery vector Index if not low latency required; otherwise, cloud SQL (pgvector) Out of scope: Additional logics to decide when to generate embeddings from an image.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "24"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Trojan project\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** One-Time Images DB Ingestion (Batch Run)\n- **So that:** The images are available in the Vector DB for embedding-based retrieval\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: A group of PDFs is already available. Each PDF contains images that can be programmatically extracted and uploaded. Tasks: Preprocess PDFs \u2192 Object Detection & Cropping \u2192 Description Generation \u2192 Embedding Builder \u2192 Upload & Index. Tools: Unstructured or LlamaParse for extraction; OpenAI or CLIP for embeddings; GCP Cloud Storage + Vector DB. Out of scope: Implementing continuous ingestion pipeline; advanced metadata enrichment; manual labeling validation; QA automation for images.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "32"}
{"prompt": "<|system|>\nYou are an expert AI Technical Lead and Solutions Architect specialized in software estimation. Your goal is to accurately estimate the complexity of software tasks in Story Points (SP) based on historical project data.\n\nInstructions:\n1. Analyze the Context, Role, Task, and Goal.\n2. CRITICAL: Pay extreme attention to the \"Assumptions and Out of Scope\" section. This is the primary driver for estimation accuracy.\n3. Reason step-by-step about the technical implementation details required.\n4. Conclude with the final Story Point estimate inside <answer> tags.\n\n<|user|>\nPlease estimate the Story Points (SP) for the following requirement:\n\n### Project Context\n- **Epic:** Trojan project\n- **Role:** AI/ML Engineer\n\n### Requirement\n- **I want to:** Integrate the existing Tools and Playbooks with the Images DB (Runtime Integration)\n- **So that:** The agents can dynamically retrieve image links and descriptions during conversation\n\n### Constraints & Assumptions (CRITICAL)\nAssumptions: The Images DB and metadata schema are already available. Minimal code refactor on Tool 3 to include {image_link, description} fields. Tag normalization is limited to mapping existing element_name fields. Tasks: Modify Tool 3 (Enrich Content) \u2192 Alias & Tag Normalization \u2192 Agent Composition Update. Out of scope: Re-architecting the entire playbook; large-scale schema changes or ontology expansion; implementing continuous image ingestion.\n\nPlease provide your step-by-step reasoning (Chain of Thought) followed by the final number in the format: <answer>NUMBER</answer>.\n", "answer": "8"}