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Getting Startedintermediate16 min read

How to Use AI for Research

Apply AI to research planning, question development, source discovery, evidence organization, synthesis, and verification without weakening rigor.

Practical guide

Follow the process step by step

Apply each stage in sequence. Document important assumptions, verify AI-generated information, and keep human approval at critical decision points.

  1. 1

    Define the research question

    Clarify the problem, scope, population, timeframe, terms, assumptions, and intended use of the findings.

  2. 2

    Build a research plan

    Identify evidence requirements, source types, search strategies, exclusion rules, and validation methods.

  3. 3

    Use AI to organize discovery

    Generate search directions, terminology, subquestions, comparison frameworks, and potential evidence categories.

  4. 4

    Evaluate source quality

    Check authority, methodology, date, relevance, conflicts, citations, and whether the evidence supports the claim.

  5. 5

    Synthesize without fabricating

    Compare verified findings, document disagreements, distinguish evidence from inference, and preserve uncertainty.

  6. 6

    Review and document the process

    Record sources, assumptions, limitations, decisions, unresolved questions, and changes made during research.

Key takeaways

Principles to retain

  • Start with a clear task, outcome, audience, and quality standard.
  • Provide reliable inputs and document assumptions before generating output.
  • Keep human judgment at approval, risk, and exception points.
  • Verify important facts, claims, calculations, and source information.
  • Measure results and improve the process using observed failures and feedback.

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