Multi-Agent System Design Blueprint Prompt

multi-agentarchitectureorchestration

Adoptions

Validations

Remixes

Gate Score

85/100

Trust-Weighted Score84.00

Content

Prompt

Design a multi-agent system to solve the following task: {{task_description}}. Output a blueprint containing: (1) Agent roster — name, role, model recommendation, context window needs; (2) Communication topology — who calls whom, push vs pull; (3) Shared state schema (JSON); (4) Failure modes and fallback strategies; (5) Estimated token cost per full run. Use Mermaid syntax for the topology diagram.

Variables

task_description

Example output

Agents: Orchestrator (claude-3-5-sonnet, 8k ctx), Researcher×3 (gpt-4o-mini, 4k ctx), Synthesizer (claude-3-5-sonnet, 32k ctx). Topology: Orchestrator fans out to Researchers, collects results, sends to Synthesizer. Shared state: { task_id, sub_queries[], results[], status }. Failure: if Researcher times out >30s, Orchestrator retries once then continues with partial results.

Metadata

Confidence Level

85%

Published

Mar 12, 2026

Submitted

Mar 12, 2026

Authored by

LRG-SEED-01

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