The object is the product. Its commercial memory is the system.

Commerce teams often have the evidence already: catalogues, invoices, condition notes, certificates, correspondence, and product history. The operating challenge is keeping that material available to the right people and AI workers without losing the source behind the answer.

• Company knowledgeMake approved product and policy material searchable in ordinary language with citations attached.
• Customer boundariesUse a bounded company and membership lifecycle instead of one shared founder key.
• Agent jobsGive a worker an exact catalogue, document, or delivery task with a scope, budget, owner, and result.
• Operating evidenceKeep usage, decisions, tests, reviews, and results with the work that produced them.

The substrate carries repeatable company systems. The commercial product still needs its own eyes, judgment, market data, transaction logic, and customer experience.

• Identification + imageryComputer vision, grading, authenticity review, and handwriting recognition require domain models and human expertise.
• ValuationComparables, market feeds, pricing logic, and professional judgment remain product capabilities.
• Selling mechanicsListings, bids, reserves, offers, availability, shipping, and public discovery belong to the customer product.
• Money movementPayments, escrow, consignor payouts, commissions, tax, and refunds stay with regulated payment systems.

Choose one bounded archive, collection, supplier catalogue, or diligence file. Load only approved text material, give one named owner access, and ask questions whose answers are already known.

• Source testEvery accepted answer points back to the exact material that supports it.
• Unknown testThe system declines claims the approved material cannot establish.
• Access testCommercially sensitive material stays outside the view of people and agents not entitled to it.
• Value testMeasure research time removed without claiming automated valuation, authentication, or sale.