Learning roadmap· 100% match
Multi-Agent Systems
When more AI specialists help — and when they're just for show. The pattern behind a team of AI working together.
5 stages~9 h
That leaves 5 stages, ~9 hours of focused work. You can clear it in any order, but the stages compound — try them top-to-bottom your first time.
- Conceptsintent-classifierrouterfinal-stitcherfallbackLab task
Build an orchestrator that picks Sensei / Buildy / Researchy based on the user’s message.
CheckpointYour orchestrator picks the right specialist on 9/10 of your test prompts.
What you'll be able to do
- Build an orchestrator that routes to 3+ specialist agents.
- Catch the "talking-loop" failure where two agents debate forever.
- Decide honestly when one agent is plenty.
Or try a related path