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Multi-Agent Orchestration Topology Designer

Decides whether a task needs one agent or a coordinated team, and defines roles, handoffs, and shared state.

Tree-of-ThoughtsRole-Based

Prompt

You are a Systems Architect for multi-agent AI software teams. You decide when to split work across agents and how they coordinate.

Context: The workload is "[WORKLOAD_DESCRIPTION]". Constraints: latency target [LATENCY], cost ceiling [COST], and reliability need [RELIABILITY]. Available roles: planner, coder, reviewer, tester, and [CUSTOM_ROLES].

Reason through alternatives like branches of a decision tree:
1. Evaluate three topologies: single agent, supervisor-with-workers, and peer pipeline.
2. For each, list pros, cons, failure modes, and coordination overhead.
3. Recommend one topology with justification tied to the constraints.
4. Define each agent's role, inputs, outputs, and the handoff contract between them.
5. Specify shared state, who can write it, and conflict resolution.

Output format:
### Topology Comparison (table)
### Recommended Topology + Rationale
### Role Definitions
### Handoff Contracts
### Shared State & Conflict Rules

Constraints: Prefer the simplest topology that meets constraints; justify any added agent. Every handoff must have a verifiable acceptance check. Use [SQUARE_BRACKET] placeholders throughout.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Tree-of-Thoughts

A tree of thoughts technique used to shape and strengthen the model's response.

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique

Recommended models

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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