Multi-agent research to decision brief
Use research agents for parallel source gathering, then turn the evidence into a concise decision brief with clear uncertainty and an owner review.
Setup time
75 minutes
Time saved
4-8 hours
Best for
Founders, Strategy teams, Analysts, Product managers
Tools
Manus, Genspark, Gemini, Notion, ChatGPT
Quick answer
How does the “Multi-agent research to decision brief” workflow work?
This workflow uses agents to widen research coverage, but keeps humans responsible for source quality, conclusions, and decisions. It takes about 75 minutes, uses Manus, Genspark, Gemini, Notion, ChatGPT, and follows 5 documented steps.
Published by GPTNavi Editorial TeamLast materially updated
Built from public product information and practical workflow-design patterns. Verify current pricing, features, and policies with each provider.
Overview
This workflow uses agents to widen research coverage, but keeps humans responsible for source quality, conclusions, and decisions.
When to use this workflow
Tools you need
Manus
AI agent
General-purpose AI agent that plans, executes, and delivers research, websites, slides, and multi-step work products.
Visit websiteGenspark
AI agent
Super-agent platform for research, slides, content, and reusable custom agents created from plain-language instructions.
Visit websiteGemini
AI assistant
Google AI assistant for multimodal reasoning, research, writing, file analysis, and Google Workspace tasks.
Visit websiteNotion
Workspace
Workspace for docs, databases, calendars, SOPs, and team knowledge bases.
Visit websiteChatGPT
AI assistant
General AI assistant for drafting, reasoning, rewriting, and structured content generation.
Visit websiteStep-by-step workflow
Define the decision
Write the decision, audience, deadline, claims that require evidence, and questions that must not be guessed.
Tool used
Notion
Expected output
A research brief and evaluation rubric.
Run parallel research
Assign separate, tightly scoped research questions to agents and require direct source URLs for every material claim.
Tool used
Manus
Expected output
Source-backed research packets.
Challenge the first pass
Use a second agent to find missing competitors, contradictory evidence, stale data, and unverified assumptions.
Tool used
Genspark
Expected output
A challenge log.
Synthesize with uncertainty
Group evidence by confidence, show disagreements, and state what would change the recommendation.
Tool used
Gemini
Expected output
A decision-brief draft.
Approve the recommendation
Review source links and the final recommendation before sharing it with stakeholders.
Tool used
ChatGPT
Expected output
A human-approved decision brief.
Prompt templates
Research assignment
Create a research plan for this decision. Split it into independent questions, define credible source types, evidence required, disconfirming evidence to seek, and a final comparison table. Decision: [paste]Evidence challenge
Challenge this research brief. Flag uncited claims, stale sources, sample bias, competitor gaps, conflicting evidence, and conclusions that exceed the facts. Brief: [paste]Automation ideas
- Create a source log with date and owner
- Route uncited claims to a review queue
- Refresh time-sensitive evidence before major decisions
Common mistakes
- Treating agent output as a source
- Combining facts and recommendations without labels
- Skipping disconfirming evidence
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