I will add an answer check to your claude or ai workflow and test it

An AI workflow that runs is not the same as one that is right. A figure can come from the wrong rows, a caveat can go missing, and the answer still looks finished.

I add a checking step to your workflow: after your AI writes an answer, a reviewer model and, where there are figures, scripts read it before anyone relies on it. A wrong answer is sent back or flagged.

Then I show the step works on your own answers: I take answers you consider correct, plant one mistake per copy (a wrong figure, the wrong rows counted, a lost caveat, a claim no figure supports) and record which check stops each.

In my own workflow: 24 mistakes of 7 kinds. The figure check stopped 6, the coverage check 5, and a reviewer model named all of the other 13 in 3 runs each. Stopped by nothing: 0.

Built and tested in Claude workflows (Claude Code, skills). For an app on another model I hand over the check as a script with setup notes, and you add your own API key.

You get the checks, the planted set, the results and what is still not covered. All in writing, no calls.