check-your-plan

To validate an AI-generated implementation plan, use a structured assessment workflow with five parallel validators and a devil's advocate to check completeness, feasibility, and scope discipline, producing a structured plan assessment report.

Plan validation is the process of checking AI planning files for completeness, pattern compliance, and risk coverage. It is needed to reduce misalignment and prevent costly rework before code implementation begins.

You assess scope creep and risks by running the plan through dedicated validators and a devil's advocate workflow, which provide structured risk and quality checks with actionable remediation guidance.

Yes, you can check pattern conformance by submitting the plan file to the validation workflow, which specifically evaluates the plan against established pattern compliance and feasibility criteria.

The best way to review AI planning files for feasibility is to use a multi-validator workflow that analyzes the plan's completeness, risk coverage, and scope discipline to generate an actionable assessment report.