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Deep Research Prompting Framework

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Machina
Contributed byMachinaXSource

Feb 8, 2026

Deep Research Prompting Framework A four-step framework for getting better outputs from deep research AI tools: set context, control sources, phase the research, and define the output structure.

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Context first: Define who is reading the research and how it will be implemented. This changes the output significantly based on the situation. Source control: Point the research tool at specific and unusual sources instead of letting it scrape surface-level content. This yields alpha insights. Break it into phases: Split the research into 3-4 stages, run each separately, and let each phase build on the last. This adds depth. Define your output: Specify exactly how to structure the deliverable to avoid getting a 4,000-word barely readable slop.

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References

Categories:research| twitter| deep-research| prompting

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