A Product Model Cannot Live in Scattered Assumptions
Different screens can each sound credible while describing different versions of the same product.
The practical check
Make the core model explicit before redesigning the surface that exposes it.
Where AI fits
AI can compare how each system area represents the same customer, entitlement, or product fact and flag conflicts.
The human decision
People decide the canonical model and the tradeoffs it creates.
The lesson
A product becomes easier to explain when its core facts have one agreed meaning.
A Build Log companion compares the different system representations of a product or entitlement fact before the team selects one meaning.
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 competing product definitions
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. Make the core model explicit before redesigning the surface that exposes it.
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.
