The useful result
Find unsupported changes using a source-to-draft table in a separate review context.
- Find unsupported changes using a source-to-draft table in a separate review context.
A drafting conversation accumulates choices and explanations that can make its own output feel settled. Start a separate review with the source facts, the draft and a short rubric. This reduces some conversational anchoring, but it does not make the same model statistically independent or guarantee that it will find every error.
Select the named model only if it is available in your interface. API controls and consumer-app controls differ. You can practise the technique on the supplied fictional inputs with an available compatible assistant first. This lesson is documentation-based; examples are expected results, not a claim that we ran the named model.
Before you start
- A fictional fact sheet and a short draft with one deliberate factual change.
- A separate chat with no unnecessary earlier discussion.
Review evidence
Documentation-based review · 2026-10-18
Provider documentation checked on 18 October 2026. Examples and checks are original illustrative exercises, not recorded platform tests. Cover artwork is conceptual and does not imply provider sponsorship.
Freeze the evidence and rubric
Write three source facts: 12 templates; USD 29; personal use only. Put a deliberate error in the draft: 20 templates. Use a rubric of factual match, unsupported additions and unresolved questions. Do not tell the reviewer which error you planted.
Example / expected result
Illustrative example; not a recorded model result.
Source: 12 templates. Draft: “Get 20 templates for USD 29.”
Check your result
The reviewer receives the source and draft, not the previous argument defending the draft.
Request a claim-level review
Ask for each draft claim, its source and a pass/correct/unsupported decision. Prevent the reviewer from adding persuasive copy or rewriting all facts while checking one mismatch.
Review this draft against the supplied fact sheet only. Return claim, matching source fact, decision and minimal correction. Do not assume the draft is correct or invent missing rights. Facts: 12 templates, USD 29, personal use only. Draft: Get 20 templates for USD 29; use them for your personal projects.Example / expected result
Illustrative example; not a recorded model result.
20 templates → source says 12 → CORRECT to 12. USD 29 → MATCH. Personal projects → consistent with personal-use limitation, without adding commercial rights.
Check your result
The template-count mismatch is flagged; price is preserved.
Apply only accepted corrections
Check the flagged change against the original fact sheet yourself. Update the number and keep a short correction note. If reviewers disagree about wording, resolve it from evidence rather than choosing the more confident model.
Check your result
The final draft says 12 and contains no new license promise.
When it goes wrong
A fresh chat may share the same model biases and cannot discover missing source facts. Reviewers need the evidence reattached; they do not automatically know a separate chat. Do not mistake a rewritten paragraph for a completed factual audit.
Make it your own
Add “commercial rights included” to the draft. The reviewer should reject it, even though the claim sounds useful for marketing.
Useful next resources
Sources and review
Last checked Oct 18, 2026. Features and account limits can change. Verify important results against your original material.
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Practical AI lessons with checked sources, labelled examples and human verification.
