Fact-Checking Claude Drafts: A Source-First Workflow

Make a source packet before drafting

A source packet is a controlled evidence set. It includes source URLs, publication dates, access dates, quoted snippets, and notes about what each source can and cannot support.

For Claude-related writing, use Anthropic docs, help-center articles, privacy pages, and release notes for claims about product behavior. For legal or regulatory claims, use government sources such as the Copyright Office, Federal Register, or FTC.

If you start with a source packet, Claude is less likely to fill gaps with plausible but unsupported language.

Extract claims into a table

After drafting, ask Claude to list every factual claim, implied claim, statistic, quote, comparison, and current-product statement. The output should be a table with source, confidence, and required human check.

This step converts prose into audit work. It also catches a common AI problem: a sentence can sound reasonable while blending source-backed fact with unsupported interpretation.

Do not ask Claude whether the draft is accurate in the abstract. Ask it to identify exactly which sentence depends on which source.

Verify quotations separately

Never trust a generated quotation until you can locate it in the source. Even when Claude is using source material, quote boundaries and wording deserve a separate check.

For citation-bait pages, keep quotations short and place the claim in your own analysis. The quote should anchor a fact; it should not replace your own explanation.

If a source is dynamic, include the review date. Product docs and help-center articles can change quickly, especially for AI tools.

Treat current-product facts as unstable

Claude features, model names, plan limits, privacy controls, and beta add-ins can change. If your page says "currently," "now," "latest," or "available," verify from an official source on the day you publish.

Avoid writing around fragile details unless they are necessary. A durable guide can say "use project instructions for project-specific requirements" and cite the relevant help article without overcommitting to UI labels that may change.

Model names are the fastest-decaying facts in this category, and a useful worked example. Between July and September 2026 the lineup moved twice: Claude Opus 5 launched July 24, 2026 and replaced Claude Opus 4.8 as the current Opus, and Claude Fable 5.1 launched September 1, 2026 and replaced Claude Fable 5 as the flagship. A widely repeated claim that Claude Sonnet 5 introductory pricing would rise to $3 and $15 per million tokens on September 1 also did not happen; the $2 and $10 rate became standard. Any draft asserting otherwise is repeating a prediction as a fact.

The lesson generalizes. When a draft states a model name, price, cutoff, or availability, the only acceptable source is the current docs page on the day of publication, not a secondary article and not the model’s own recollection. A model cannot reliably report its own successor, because its knowledge cutoff precedes the release.

The freshness page on this site exists for that reason: future updates can refresh source dates without rewriting every guide from scratch.

• Verify model names and IDs against the models overview page, not a blog post.
• Verify prices against the pricing page on the publication date.
• Do not ask Claude which model is newest; its knowledge cutoff predates later releases.
• Re-check any sentence containing "latest", "now", "currently", or "beta".
• Date-stamp product claims in the draft so the next reviewer knows what to re-verify.