app-design-input-user-corrections-2

User corrections are formalized by extracting them as concrete rules and applying them to current tasks and related decisions. This pattern ensures consistent outcomes and reduces drift across multiple workflows by validating results against updated expectations.

To stop output drift, extract the user instruction as a concrete rule and apply it consistently across all tasks. Revalidate outputs against updated expectations and capture corrections for reuse to maintain consistent outcomes throughout the workflow.

A feedback loop prevents regressions by validating outcomes through logs, tests, and reviews after applying corrections. This guards against drift by ensuring outputs consistently meet updated expectations before the workflow proceeds.

Yes, once a correction is extracted as a concrete rule, it can be applied to current work and nearby decisions automatically. This reusable guidance maintains consistency without needing to re-explain the instruction for every related task.

Validate applied corrections by checking outcomes through logs, tests, and reviews. This quality assurance step confirms the rules are properly integrated and guards against regressions or drift in the workflow outputs.