File size: 3,039 Bytes
3e30d53 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | # 🚀 LinkedIn Post Drafts for Aegis / Sentinel
Here are three variations for your LinkedIn post, depending on the angle you want to take.
## Option 1: The "Technical Deep Dive" (Best for Engineering Networks)
**Headline:** Building a Proactive Financial AI Agent with LangGraph & Microservices 🛡️
I just wrapped up building **Aegis**, a "Premium Financial Terminal" powered by AI. It’s not just a chatbot; it’s a fully orchestrated agentic system.
**The Tech Stack:**
* **Brain:** LangGraph for stateful orchestration (Google Gemini).
* **Architecture:** Microservices pattern using the **Model Context Protocol (MCP)**.
* **Real-Time:** A background monitor that watches my portfolio and pushes alerts.
* **Frontend:** Streamlit for that Bloomberg Terminal vibe.
**How it works:**
The "Orchestrator" breaks down natural language directives (e.g., "Analyze TSLA and check my exposure"). It routes tasks through a FastAPI Gateway to specialized agents: a **Web Researcher** (Tavily), a **Market Analyst** (Alpha Vantage), and a **Portfolio Manager** (Local DB).
It’s been a great journey learning how to decouple AI tools from the core logic.
#AI #LangGraph #Python #Microservices #FinTech #LLM #OpenSource
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## Option 2: The "Product Showcase" (Best for General Audience)
**Headline:** Meet Sentinel: My Personal AI Financial Analyst ⚡
Tired of switching between news sites, stock charts, and my brokerage app, I decided to build my own solution.
Introducing **Sentinel** (Project Aegis) – an AI agent that acts as a proactive financial analyst.
**What it does:**
✅ **Deep Dives:** I ask "Why is Apple down?", and it reads the news, checks the charts, and writes a report.
✅ **24/7 Monitoring:** It watches my watchlist and alerts me to price spikes or breaking news.
✅ **Portfolio Context:** It knows what I own, so its advice is personalized.
The power of Agentic AI is that it doesn't just talk; it *does*. It plans, researches, and synthesizes information faster than I ever could.
#ArtificialIntelligence #FinTech #Productivity #Coding #Streamlit
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## Option 3: The "Learning Journey" (Best for Engagement)
**Headline:** From "Chatbot" to "Agentic System" – My latest build 🧠
I spent the last few days building **Aegis**, and it completely changed how I think about AI applications.
I started with a simple script, but realized that for complex tasks like financial analysis, a single LLM call isn't enough. You need **Agents**.
**Key Lessons Learned:**
1. **State Management is King:** Using LangGraph to pass context between a "Researcher" and a "Data Analyst" is a game changer.
2. **Decoupling Matters:** I built a "Gateway" so I can swap out my News provider without breaking the whole app.
3. **Latency vs. Accuracy:** Orchestrating multiple AI calls takes time, but the depth of insight is worth the wait.
Check out the architecture in the comments! 👇
What are you building with Agents right now?
#BuildInPublic #AI #Learning #SoftwareEngineering #TechTrends
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