The Source-Led Review: How to Check an AI Draft Before It Leaves Your Team

AI drafts create a particular editing trap: they can be coherent enough to discourage checking. A sentence arrives with an explanation, a statistic, a citation-shaped phrase, and the rhythm of authority. The reviewer feels that the work is nearly done, when the real question is still open: what, exactly, supports this claim?

A source-led review reverses the order. Instead of polishing first, you identify the claims that matter, trace each one to support, separate evidence from interpretation, then decide whether the language earns its confidence. It is less glamorous than a final copyedit and much more useful.

NIST’s generative-AI profile identifies provenance and pre-deployment testing as relevant risk-management considerations. That does not prescribe one editorial workflow. It does support a practical habit: consequential output needs a review trail that does more than say “someone looked at it.”

Review the claims, not the prose first

Start by reading a draft with a pencil or a comment tool and mark every statement that a reasonable reader could treat as fact. Include figures, dates, comparative claims, product behaviour, attributed opinions, and claims about what an audience wants.

Do not mark every sentence. “The workshop begins with a question” may be a description of your own structure. “Most teams waste hours in research” is a claim about the world and needs support, qualification, or removal.

Then assign each marked line one of four labels:

• Supported fact: the source directly backs the wording.
• Reasonable inference: the source supports a narrower observation, and the draft draws a clearly labelled conclusion.
• Proposal: an original recommendation or option, presented as a choice rather than a fact.
• Unsupported: no source, no disclosed inference, and no reason for a reader to accept it yet.

The labels protect useful writing from a false binary. Not every sentence needs a footnote. But every consequential sentence needs an honest relationship to what is known.

Build a small claim ledger

For each supported fact or inference, record five fields:

Field	What to write
Claim	The exact sentence or a short faithful summary
Source	The original document, page, record, or direct observation
Support	The passage, datum, or observation that does the work
Status	Fact, inference, proposal, or unsupported
Action	Keep, qualify, rewrite, research, or remove

Use a direct source whenever possible. If you are writing about a product’s current behaviour, use its current official documentation. If you are reporting a person’s view, use the interview, report, or primary publication. A secondary source can be valuable context; it should not pretend to be the original evidence.

A worked ledger decision

Suppose a draft says, “The new workflow cuts research time in half.” The supplied packet contains two team notes saying a particular handoff felt faster, but no time record and no comparison period. The ledger should label the sentence unsupported, not “mostly right.” The next action is either to remove it, narrow it to the two observations, or run a time-bounded test. A source-led review earns its place when it changes the writing decision—not when it merely adds a citation column.

Test the relationship between claim and source

The common failure is not a completely invented source. It is a source that supports a weaker, older, or different statement than the draft makes.

Ask four questions:

1. Does the source actually say this, or merely point in the same direction?
2. Is the wording stronger than the evidence?
3. Is the source current enough for the claim?
4. Did the draft carry a condition, exception, or scope limit out of the source?

If the answer to the first question is no, do not solve it by adding a citation. Narrow the sentence, label it as interpretation, or remove it. Citation-shaped decoration makes the review harder for the next person.

Calibrate the language after the evidence is clear

Once the support is visible, adjust the verbs. Replace “proves” with “suggests” when the source is limited. Replace “always” with the conditions under which the statement held. Replace “the market wants” with “the interview participants described” if that is what the material actually shows.

This is not timid writing. It is precise writing. A claim can still be decisive when its scope is clear: “For this launch, use the customer interviews as the primary audience signal.” The sentence owns a recommendation and names its evidence boundary.

Try: Choose one paragraph from an AI-assisted draft. Mark every claim that would change a decision if it were wrong. Make a claim ledger only for those lines.

Check: Give the draft and ledger to a reviewer who did not write it. Can they find the source for every consequential claim without asking you what you meant?

Save: Keep reviewed claim ledgers with the draft, especially for high-stakes or frequently updated pages. They make later corrections faster and less personal.

End with a release decision

The final question is not “Does this sound finished?” It is “What is this ready to do?” A draft can be ready for internal discussion while still needing a source. It can be ready for a client review while its recommendation remains a proposal. It should not be ready for a public claim if the core evidence is unclear.

Write the status visibly: ready for copyedit, needs source confirmation, recommendation needs owner approval, or not suitable for publication. A specific status turns review into a handoff rather than a vague feeling that someone should take another look.

Limits

Source review cannot settle a value judgment or make a weak research base representative. It also cannot guarantee that a source will remain current. Use it to preserve the chain between what is written and what is known, then revisit the work when the source, product, or decision context changes.