An output can look normal while quietly dropping an important class of information.
The practical check
Compare the result with a known-good baseline before trusting a clean-looking presentation.
Where AI fits
AI can highlight material size, shape, and category differences between a new output and an approved reference.
The human decision
People decide which differences are expected and whether the output meets its contract.
The lesson
A plausible output deserves trust only after it survives comparison with what good looked like before.
Approved-reference comparison for missing size, shape, or category information is covered in the Build Log companion.
AI Skills
Use this lesson with the AI assistant you already use
Use this to prepare a reviewable next step without changing any system.
Paste the prompt, share only the context needed to answer it, and treat the result as a draft for your review. Do not include confidential information or let an AI assistant make changes without your approval.
Optional: for a visual report and saved memory, run /dxdev first.
Don’t have it? Get it at dxdev.com/skills/dxdev. The prompt works without it.
dxdev LESSON · paste into your AI agent
LESSON: Compare an output with a baseline
WHAT TO SHARE:
A de-identified description of the work, current evidence, and the decision you are considering.
ASK YOUR AGENT TO:
1. Separate confirmed facts from assumptions and unanswered questions.
2. Compare the result with a known-good baseline before trusting a clean-looking presentation.
3. Identify the narrowest useful next review step.
RETURN:
A short table with the evidence, uncertainty, human-owned decision, and next action.
BOUNDARY: Do not change records, contact anyone, route work, publish content, or act in an external system. A person must review the evidence and approve every consequential step.
