We’ve entered the age of autonomous execution.
AI Agents are no longer experimental—they’re running workflows, scheduling meetings, sending emails, writing code, and connecting tools. If you’re still doing this stuff manually, you’re burning founder time.
In this session, we’ll break down exactly what AI agents are, how they work under the hood, and how to start building your own. Expect real demos, frameworks, and toolkits you can use—whether you’re technical or just tech-curious.
You’ll leave with a clear path to delegate work to code.
Key Takeaways / Bullets:
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What makes an “agent” different from a chatbot or assistant
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The 3-part anatomy of an AI agent (LLM + tools + memory)
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Tools like ReAct, LangChain, and AutoGen made simple
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Live demo: An agent that reads a tweet and replies intelligently every hour
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The best use cases for solo founders and lean teams
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How to start experimenting even if you don’t write code daily