I built a Namtar Collector workflow around my personal vintage Pokemon collection.

The biggest lesson: AI is useful, but source of truth matters.

The reliable version separated:
- Collectr export = card identity and market reference
- photos = physical evidence
- AI = cataloging and condition-support evidence
- reports = negotiation and review workflows

In under 48 hours, this produced:
- high-interest holdback lists
- condition-adjusted value scenarios
- front/back photo checklists
- shop offer counter packet
- auction/private-sale candidate list
- public case-study framework

This is the kind of workflow I want Namtar Collector / Namtar POS to bring to local retailers and collectors: faster intake, better audit trails, and clearer asset decisions before negotiation.