Everyone is talking about AI Agents. Very few can explain how Agentic AI actually works end-to-end.

We’re hosting an open community discussion on Agentic AI: From LLM to Multi-Agent Systems—practical, builder-focused, and clear enough to apply immediately.

What we’ll cover (with real examples):

• Tools + function calling: how agents take actions safely
• Vector stores: why retrieval is the backbone of reliable agents
• MCP (Model Context Protocol): connecting models to external systems cleanly
• Multi-agent patterns: planner/executor, researcher/writer, critic loops, routing
• Where agents fail: reliability, evaluation, observability, cost