Short answer
Avoid misleading AI portfolio claims by separating your AI Builder role from team work, stating tool and data limits for RAG, Agent, automation, or Cursor projects, avoiding unsupported results, and protecting client or personal information.
- Decide if this page applies to: Builders rewriting portfolio cases for employer review.
- Check first: Ownership is accurate.
- Avoid this mistake: Writing we built as if it means I built.
Use this page for
Turn ability into screenable proof
The point is not to list everything. Make it clear what you owned, what you can deliver, and which evidence needs protection.
Start
Decision context
Decision criteria
Ownership is accurate.
Next action
Read review rules
Decision context
Credibility comes from clear responsibility and boundaries. Employers trust a precise case more than a large claim that cannot be checked.
Evidence to inspect
State what you built, what you configured, what came from a template or team, what data was used, and what result can be safely described for the AI Builder workflow.
Boundary and next step
If a result is directional or confidential, say that. Do not turn uncertain impact into a hard claim.
What you still need to confirm yourself
- Confirm whether the role scope, budget, timeline, and communication expectations fit you.
- Decide what client names, screenshots, files, or personal details should stay private.
- Use interviews or written follow-up to clarify responsibility, contract terms, and data access before starting work.
Decision criteria
Common mistakes
- Writing we built as if it means I built.
- Turning a prototype demo into a production outcome claim.