Use AI to expand research without treating fluent text, repeated output or model confidence as verification.
Open situation →Reasoning Practice · Starter
The model supplies the first hypothesis
Before reviewing the source material, a researcher asks an AI assistant for the likely explanation. The rest of the search follows the categories in that first answer.
Your decision
What should be done before relying on the model’s frame?
Show the best first move
A. Write an independent provisional question, alternatives and evidence needs before reading the generated explanation.
Why this move helps
The first generated frame can become an anchor for search and interpretation. An independent provisional view preserves alternatives before the model shapes them.
Evidence still missing
- The researcher’s pre-AI question and candidate explanations.
- Primary sources that support or challenge each explanation.
- Evidence not represented in the model’s first frame.
Evidence note
Anchoring is a plausible interaction risk. The model’s first hypothesis can still be useful, but it should compete with independently stated alternatives.
Next action
Write the research question and at least two plausible alternatives before reading the generated answer.
Best first lens
Anchoring Effect
Use the lens to ask a better question. It does not prove that a person or team has a cognitive bias.
Other defensible lenses
The situation may have more than one explanation.
Continue the path
Situation → skill → technique → action.
You can use an AI system to expand reasoning while keeping important judgments independently checkable.
Build this skill →Create a reference point before seeing a strong external number or recommendation.
Run the technique →