Start with the research question
Research agents need a precise question. A broad topic can create shallow summaries, while a focused question gives the workflow a clear direction.
- Write the decision the research should support.
- List the types of sources or notes available.
- Ask the agent to separate findings from assumptions.
Use synthesis checkpoints
A research workflow should include checkpoints for evidence quality, contradictory findings, and missing context.
- Mark source strength and uncertainty.
- Group findings into themes before writing the conclusion.
- List open questions that need more evidence.
Make the final output usable
The research result should not just summarize. It should explain implications, risks, and recommended next steps for the audience.
- Use tables for comparisons and evidence maps.
- End with decisions, caveats, and next actions.
- Keep citations or source references attached when available.
AI agent for research FAQ
What makes a good research agent task?
A good task includes a focused question, source expectations, synthesis steps, caveats, and a clear final output format.
Can an AI agent replace human research judgment?
No. It can organize and synthesize information, but humans should review evidence quality and final decisions.
How should an agent handle missing sources?
The brief should tell the agent to flag missing context and avoid filling gaps with unsupported claims.