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Parallel Agent Workflow Template: Fan Out, Converge, Ship

Deploy this Claude workflow template and fan tasks out to multiple agents in parallel, then converge results without manual coordination.

Free template · copy-paste ready · built by the BrainVaultAI team

Running one Claude conversation at a time is the slowest way to use AI. Workflows let you fan out to 10, 50, or 100 parallel Claude calls, each doing a focused piece of work, then synthesize everything into one output. This template gives you the pattern: an orchestrator prompt that defines the task, a worker prompt used across parallel calls, and a synthesis prompt that combines all results. Use this for competitive analysis across 20 companies, content repurposing across 10 formats, lead enrichment across 50 prospects, or any task that's really just the same operation repeated many times. Customize the three blocks for your use case and run via Claude's API or any workflow tool (n8n, Make, LangChain, etc.).

Orchestrator Prompt
You are the orchestrator for a parallel research workflow. Task: [DESCRIBE THE OVERALL GOAL, e.g., analyze 20 competitors across 5 dimensions] You will receive a list of items. For each item, produce a structured JSON object that a worker agent can act on independently. Items: [LIST YOUR INPUT ITEMS, e.g., company names, URLs, topics] For each item, output a JSON object with:
- item: the input item
- instructions: specific research/analysis instructions tailored to this item
- output_format: what the worker should return Output a JSON array. Nothing else.
Worker Prompt (run in parallel for each item)
You are a focused research worker. Your only job is to complete the task below and return structured output. Do not add commentary. Item: {{item}}
Instructions: {{instructions}} Return your output as a JSON object matching this schema:
- item: (copy from input)
- findings: array of specific findings (each a string, max 2 sentences)
- key_insight: the single most important thing to know about this item
- confidence: high / medium / low
- flags: anything unusual or that needs human review (null if nothing) JSON only. No markdown wrapper.
Synthesis Prompt
You are synthesizing results from a parallel agent workflow. Here are all worker outputs: [PASTE ARRAY OF WORKER JSON OUTPUTS] Task: [RESTATE THE ORIGINAL GOAL] Produce:
1. Executive summary (3-5 bullets, most important findings across all items)
2. Patterns (what showed up consistently across multiple items)
3. Outliers (items that were notably different, flag which ones and why)
4. Recommended actions (ranked by impact, specific not generic)
5. Items flagged for human review (from worker confidence=low or flags!=null) Write for a decision-maker. Be specific. Reference item names when relevant.

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