Verify AI output: a non-technical fact-checking workflow

AI output should be treated as a draft claim set. Break it into checkable statements, prioritize high-impact claims, trace them to primary evidence, and record what remains uncertain.

At a glance

Question	Practical answer
When is it useful?	For a travel policy summary, verify dates and limits against the current policy document rather than accepting a fluent paragraph or a search snippet.
What should you do?	Ask AI for five factual claims on a familiar topic, place each in a claim/source/status table, and verify the two most consequential claims independently.
How do you know it worked?	Every important claim is marked verified, contradicted, or unresolved, with a direct source and retrieval date.
Common failure	Multiple websites repeating the same unsourced statement are not independent confirmation.

flowchart LR
  A[Question] --> B[Verify AI output: a non-technical fact-che]
  B --> C[Small example]
  C --> D[Evidence]

The important idea is not to stop at a definition: connect the concept to a small example and observable evidence.

Worked example

For a travel policy summary, verify dates and limits against the current policy document rather than accepting a fluent paragraph or a search snippet.

Before acting, write the success signal. Change one condition at a time, observe the result, and record assumptions. For Verify AI output: a non-technical fact-checking workflow, this separates what you know from what you are merely guessing.

Practice in 20–30 minutes

Goal: Ask AI for five factual claims on a familiar topic, place each in a claim/source/status table, and verify the two most consequential claims independently.

1. Record the starting state and your prediction.
2. Implement the smallest version without adding unnecessary tools.
3. Change exactly one input or constraint and repeat.
4. Save a command, screenshot, output, or checklist as evidence.

Expected result: Every important claim is marked verified, contradicted, or unresolved, with a direct source and retrieval date.

What can go wrong

Multiple websites repeating the same unsourced statement are not independent confirmation.

When the result differs from your prediction, do not change many things at once. Check inputs, versions, environment, permissions, and logs, then repeat from the smallest example.

Definition of done

• I can explain the concept in my own words.
• I completed the small example and kept evidence.
• I know one failure mode and how to check it.
• Someone else can repeat the work without guessing missing steps.

Go deeper

Use the linked resource or repository at the end of the page when you need a full implementation. Check current versions before applying commands to a real project.