FROM THE AI FRONTIER

The AI reached a conclusion. Where is the evidence?

A confident answer is not enough for a work report. Fieldguide’s talk offers a useful starting point for evidence, document versions and reviewed changes.

Skillcraft editorial team · Max character · 2026-11-10

Ask your assistant to connect a conclusion to specific data: a document, its version and the relevant passage. This gives a reviewer a path to the evidence. A detailed explanation alone does not establish that a conclusion is correct.

What the talk covers

Using a simplified financial reconciliation, the speaker discusses authorisation, recorded execution steps, evidence provenance and the quality of test examples. At 4:11–5:12, he examines changes to work a human has already reviewed. At 7:10–8:40, he explains why a document title alone is insufficient: identity and version matter.

The review principle is useful beyond that example. This article is not a financial audit procedure.

Apply it to a routine report

Imagine a report saying: “Most complaints concern waiting.” What would you want beside that claim?

• The number of reviews and their date range.
• The specific reviews assigned to that category.
• The rule used to count mentions.
• Ambiguous messages kept separate.

Without this, “most” is hard to check. Perhaps several messages from one guest were counted as separate cases. Perhaps the collection has no dates at all.

A prompt to try

Open the source and check at least the main conclusion. Does the count match? Do the selected rows support that particular claim?

I would start with one question: can I verify this conclusion without rebuilding the entire report? If the answer is no, change the output format. Make review part of the work rather than a separate investigation.

Sources

• Anirudh Veeraragavan, Fieldguide — оригинальное видео
• AI Engineer — страница выступления и расшифровка