Recording evidence in an AI-search project
Fix query samples, dates and sources and record content changes. Report visibility separately from business outcomes and avoid claims from a single answer.
Putting ai workflows into practice
Generated output may omit information or introduce unsupported statements. Separate model output, human approval and execution; a recommendation does not grant release authority.
Checking the result
Test both sufficient and incomplete inputs and compare accuracy, omissions, rework and stopping behaviour. Verify sources and commitments before public release.
