Split AI Answers Into Facts, Assumptions, and Recommendations

AI often writes one smooth answer that mixes facts, guesses, and advice. That can sound reliable even when part of the answer is only inferred from context.

Use three buckets: facts, assumptions, and recommendations. The split turns a confident answer into a review checklist before you act.

Facts are the parts that can be verified against a source, dataset, message, report, contract, product page, or business record.

If AI says CTR dropped, revenue increased, a deadline moved, or a policy says something specific, ask where that fact comes from and whether the source is current.

Assumptions are what AI is guessing from context. They often hide inside confident sentences about the cause of a problem, the audience, the priority, the budget, or what success means.

Do not treat assumptions as mistakes by default. Treat them as review points. If the assumption is wrong, the recommendation may still sound good but point in the wrong direction.

Recommendations are what AI suggests doing next. They can be useful, but they are not verified just because they are written clearly.

A good recommendation should connect back to checked facts and visible assumptions. If the fact bucket is weak, check sources first. If the assumption bucket is large, give AI better context before choosing a next step.

AI says: This campaign failed because the audience was wrong.

* Fact: CTR dropped. * Assumption: the audience was wrong. * Recommendation: test a new segment. * What to check: spend, offer, landing page, tracking, timing, and whether the drop happened across all segments or only one audience.

The split changes the decision. You may still test a new segment, but you first check whether the campaign problem was really audience fit or something easier to fix.

Use this exact pattern: Separate this into facts I can verify, assumptions you are making, and recommendations. Keep it short. Tell me what I should check before acting.

This works well for summaries, campaign analysis, competitor notes, project scopes, reporting conclusions, and business decisions. Pair it with Critical Means No Compliments when you want the weak parts faster.