Prompt
Extract the main claims from Source A. Return a table with claim, evidence quoted or paraphrased from the source, uncertainty, and why the claim matters. Do not add outside information.
Guide #9 • Research
AI for Research and Reading Notes: Source-Aware Workflow
AI can summarize a long article quickly, but speed is not the same as research quality. The main risk is source mixing: an answer sounds coherent while losing track of which source supported which claim.
Ask AI works best for research when you separate three jobs: extracting claims, comparing sources, and drafting a decision brief. Each job needs a different prompt and a different review step.
This guide is built for students, analysts, founders, marketers, product teams, and anyone who reads multiple sources before making a recommendation.
Table of contents
Create a source map
Before asking for a summary, label the source. Give each article, report, or interview a short identifier and keep the identifier attached to extracted notes. This makes later checking much easier.
Repeat this for each source. You are building a research map, not a single blended answer. Blending should happen only after you know where each claim came from.
Separate claims from interpretation
A source may state a fact, imply a pattern, or suggest an opinion. Treat those as different categories. Ask AI to label the difference instead of presenting all statements at the same confidence level.
- Direct claim: clearly stated by the source.
- Supported inference: reasonable interpretation based on source evidence.
- Open question: important but not answered by the source.
- Assumption: needed for the argument but not proven in the material.
This structure is especially useful for market research, academic notes, competitor analysis, and policy reading.
Compare sources without flattening them
Once every source has a map, compare them. The goal is not to force agreement. The goal is to see where sources confirm each other, where they conflict, and where evidence is thin.
Prompt
Compare Source A, Source B, and Source C. Return: areas of agreement, conflicts, missing evidence, and claims that should not be used without verification.
Ask for conflict explicitly. If you only request a summary, AI may smooth over disagreement and produce a cleaner but weaker answer.
Write a decision brief
When the research is meant to support a choice, turn it into a brief with clear sections. A useful brief should show what is known, what is uncertain, and what decision is being requested.
- Executive summary under 120 words.
- Key findings with source labels.
- Risks and uncertainty.
- Decision options with tradeoffs.
- Recommended next step and verification needed.
This prevents research from becoming a pile of interesting notes with no action path.
Example workflow for a market scan
Imagine you are comparing three reports before choosing whether to test a new product category. First, ask Ask AI to extract claims from each report separately. Next, compare the maps and mark which claims appear in more than one source. Then ask for a brief that separates confirmed demand signals from assumptions about pricing, channel fit, and implementation cost.
The final decision brief should not say "the market is attractive" without showing why. A stronger brief says which evidence supports demand, which source is most relevant, which question remains open, and what small test would reduce uncertainty. That format helps a team decide what to do next instead of only feeling informed.
Prompt templates
Claim extraction
Extract claims from this source only. Use columns: claim, source evidence, confidence, uncertainty, and practical relevance.
Source comparison
Compare these source maps. Show agreement, conflict, missing evidence, and claims that require verification before use.
Reading notes
Turn these notes into a structured reading brief with definitions, key arguments, evidence, questions, and follow-up reading.
Decision brief
Create a decision brief from these notes. Keep source labels visible and separate facts, assumptions, and recommendations.
Quality checks before using research output
- Source labels: every important claim should trace back to a source.
- No invented citations: verify citations and links manually.
- Conflict visibility: disagreement should not be hidden for readability.
- Uncertainty: weak evidence should be labeled, not polished.
- Decision fit: the brief should answer the actual question being considered.
Use Ask AI to organize research faster, but keep judgment and verification human. The best output makes uncertainty easier to see, not easier to ignore.