evidence-discipline

To enforce mandatory verification, configure your AI agent workflow to run predefined verification commands like npm test and npx tsc --noEmit before allowing any task completion claims. The evidence-discipline mechanism intercepts agent assertions and demands verifiable command output as proof, preventing unsubstantiated claims and ensuring rigorous validation within automated workflows.

Evidence-based claim validation is a mechanism that prevents AI agents from declaring tasks complete without verifiable proof. It requires executing predefined verification commands and inspecting their outputs to back assertions like code compilation or test success, maintaining integrity by linking actions to verifiable outcomes.

You track the evidence chain for AI agent decisions by enforcing mandatory verification steps that link actions to outcomes. This process creates a clear audit trail of how conclusions were reached, requiring execution of validation commands and inspecting their outputs before accepting subagent results or task completion claims.

Yes, you can use verification commands to audit subagent results in automated workflows. This approach applies to scenarios requiring rigorous proof before accepting subagent results, enforcing the execution of predefined validation commands and explicit inspection of their outputs to ensure integrity and prevent errors.

Evidence-discipline works with standard code quality and testing tools by enforcing the execution of predefined verification commands and inspecting their outputs. It prompts the AI agent to run validation commands like npm test and npx tsc --noEmit, only allowing claims to pass if all required checks succeed.

The limitation of enforcing mandatory verification in AI agent scripts is that it strictly requires predefined verification commands to exist and pass before any task completion claim is accepted. It cannot validate claims without explicit command execution and output inspection, making it unsuitable for tasks lacking verifiable testing steps.