Evaluating AI against a clear purpose
Evaluate a tool by the problem it solves rather than output volume. Check facts and brand tone in public copy, and omissions and provenance in internal summaries.
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.
