Build a Multi-Agent System
Designing a system where multiple AI agents coordinate on a shared task, and where that coordination tends to break.
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- Bring your own work — code, campaign, report or plan
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What this session would cover
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- 1When multiple agents help — and when one agent is simpler
- 2Common patterns: orchestrator-worker, pipeline and reviewer
- 3Defining clear roles, inputs and outputs for each agent
- 4Passing information between agents without losing context
- 5Where coordination breaks: loops, conflicting outputs and cost growth
- 6Monitoring and debugging a multi-agent run
Who it's for
- • Developers who have built a single agent
- • Architects designing agent-based systems
You'd leave with
- Multi-agent design patterns
- A checklist of coordination failure points
- Criteria for choosing single vs. multi-agent designs
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