verification-before-completion

To verify AI-assisted coding changes before claiming completion, you must run a full verification command set and report exact outputs. Evidence-backed completion requires fresh test results, logs, or build outputs to authorize any final status claim.

Evidence-based completion in AI review workflows requires fresh verification data to back any success claim. It enforces running reproducible verification steps and attaching exact test outputs or build results before delivering a change.

To enforce fresh test results before merging a PR, run a full verification sequence and report the exact outputs to justify the status. This prevents unverified success claims by requiring reproducible test outputs and build results.

AI claims success without verification because it lacks enforced evidence-based completion checks. Requiring fresh verification data, such as exact test outputs or build logs, actively prevents unverified success claims in AI-driven work.

Before delivering an AI-generated code change, perform a full verification sequence and report the exact outputs. This generates reproducible verification data, including fresh test results, logs, or build outputs, to justify the final status.

Yes, you can use automated verification to prevent unverified success claims by enforcing a workflow that requires running a full verification command set and reporting exact outputs to authorize any final status claim.