Every number needs a source: running a claims check on AI-written content

AI drafts are fluent and confident, including about numbers nobody measured. A claims check before anything ships is the cheapest fix there is.

AI writes beautifully about numbers nobody measured.

That's the risk with AI-drafted content. Not bad grammar. Confident claims with no source behind them: a percentage from an old plan, a stat from a deck, a quote nobody can trace.

At Autono Labs, every blog post goes through a claims check before a person approves it. Here's how it works.

1. List every claim

Pull out every number, quote, comparison, promise and "first" or "only". If a sentence would be embarrassing to retract, it's a claim.

2. Find the source or cut it

For each claim, name the source: a document, a dashboard, a signed agreement, a named person who confirmed it. No source, no claim. Don't swap in a softer number. Cut the line.

3. Keep a banned list

Some claims keep coming back because they're in old files. Put them on a banned list, mark them clearly where they live, and check every draft against it.

4. Route the hard ones

Legal, financial and health claims go to the person who owns that risk before anything else happens. The writer doesn't get to decide those alone, human or AI.

5. Then a person says GO

The claims check doesn't publish anything. It hands a clean draft to the person who approves it.

It costs a few minutes per post. A public correction costs a lot more.

More from the blog
AI operations

How to set up an AI team that fits your workflow

Agents are cheap to start and expensive to untangle. Give each one a lane, a source of truth, its own identity and a human gate, and they start compounding.

· 3 min