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| title: AI Execution Cookoff — Build Agents That Run Real Businesses | |
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| # AI Execution Cookoff — Participation Guide | |
| **Date & Time:** February 27, 2026 – March 20, 2026 | |
| **Location:** Virtual | |
| **Host:** The Chinese University of Hong Kong, Shenzhen | |
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| ## Overview | |
| The AI Execution Cookoff is a hands-on systems challenge for builders who want to design and ship **AI agents that execute real business workflows**. | |
| Inspired by modern agent systems and real-world execution infrastructure, this cookoff celebrates builders who can turn AI into **reliable operational systems**. | |
| Participants will design and demonstrate AI agents that solve measurable execution problems such as sales follow-through, recruiting coordination, or other real workflows. | |
| There are no monetary prizes. | |
| **Outstanding participants may be invited to collaborate on real AI systems projects and join future execution-focused teams.** | |
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| ## Competition Tracks | |
| Participants may choose one track: | |
| ### 🍽 Track A — Sales Execution Agent | |
| Design an agent that manages sales workflows: | |
| - lead follow-through | |
| - communication coordination | |
| - scheduling | |
| - pipeline tracking | |
| - escalation handling | |
| Goal: maximize execution reliability and workflow completion. | |
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| ### 🍽 Track B — Recruiting Coordination Agent | |
| Design an agent that coordinates hiring workflows: | |
| - interview scheduling | |
| - candidate communication | |
| - reminders and follow-ups | |
| - status tracking | |
| - failure recovery | |
| Goal: reduce operational friction and improve execution efficiency. | |
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| ### 🍽 Track C — Open Execution Agent | |
| Build an agent that solves any measurable execution workflow: | |
| - customer support coordination | |
| - onboarding automation | |
| - operations tracking | |
| - internal workflow management | |
| Participants must clearly define the problem and success metrics. | |
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| ## Schedule | |
| ### Competition Timeline | |
| **February 27 — Cookoff opens** | |
| **March 20 — Submission deadline** | |
| ### Review Phase | |
| **March 21 – April 3 — Review & evaluation** | |
| **Early April — Winners announced** | |
| Exact updates will be posted in Discussions. | |
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| ## Submission Requirements | |
| Each participant must submit: | |
| ### 🍳 System Report (Required) | |
| A concise report (1–3 pages) describing: | |
| - problem definition | |
| - architecture design | |
| - execution workflow | |
| - reliability strategy | |
| - evaluation metrics | |
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| ### 🎥 Demo Video (Required, 3–5 minutes) | |
| The video must demonstrate: | |
| - a live agent run | |
| - system walkthrough | |
| - at least one failure case and recovery behavior | |
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| ## Evaluation Criteria | |
| Submissions are evaluated on: | |
| - reliability and failure handling | |
| - execution logic and ownership modeling | |
| - real-world usability | |
| - outcome focus and measurable impact | |
| - clarity of system design | |
| This cookoff rewards systems that **operate reliably**, not just impressive demos. | |
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| ## Participation Rules | |
| - Individual participation only | |
| - Participants may use AI tools during development | |
| - Submissions must be original work | |
| - External libraries and frameworks are allowed | |
| - GPU resources are optional and not required | |
| Joining this Hugging Face organization constitutes participation. | |
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| ## How to Submit | |
| Create a Discussion post titled: | |
| **“Cookoff Submission — [Your Name]”** | |
| Include: | |
| - demo video link | |
| - PDF report link | |
| - short summary of your system | |
| Submissions are reviewed manually by the evaluation team. | |
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| ## Community & Support | |
| Use the Discussions tab for announcements, questions, and technical discussion. | |
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| ## Final Note | |
| The AI Execution Cookoff is not a showcase for flashy prototypes. | |
| It is a search for builders who can design AI systems that execute real workflows. | |
| We are excited to see what you cook. | |