Multi-Agent Team Designer
Generates a complete multi-agent system — a system prompt per agent, the handoff format between them, and an orchestrator — after first checking whether you need more than one.
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Running it, start to finish
- Describe the whole workflow and read the section 1 verdict first.
- If several, define every handoff including its failure case.
- Build the two-agent version before the full system.
What you get back
The output this produces, every time.
- Checks whether you need several agents at all, and often finds one with tools is better.
- Defines handoffs as named fields rather than 'the context', which is how context gets dropped.
- Specifies the logging needed to trace a wrong answer back to the agent that caused it.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Take the single-agent verdict seriously. Multi-agent designs are more satisfying to draw and considerably harder to operate. One agent with good tools is usually more reliable.
- Define the nothing-usable case. An agent handed an empty result from its predecessor will invent a plausible substitute and carry on, silently.
- Start with two. Section 8's smaller version proves the approach before you build five agents and discover the handoffs do not hold.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.