Uploaded December 2025 | Updated September 2026, 2 weeks ago

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In Part 10, we finally execute our multi-agent workflow and see how the system performs in action.

In this session:

- Run real prompts through the supervisor agent

- See task routing in action (e.g., coding → coder agent, research → researcher agent)

- Generate practical outputs like:

Full HTML/CSS/JS portfolio code via the coder agent

Structured domain reports via the researcher agent

- Observe how the supervisor assigns tasks based on intent and returns final results

This part demonstrates how everything comes together — from setup to execution — showing a working multi-agent system you can modify and reuse for real use cases.

#AI #MultiAgent #AgenticAI #LLM #WorkflowExecution #BuildInPublic #GenerativeAI #Automation

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