Case file · 07 of 07 · White-labeled
23,658 products, two dollars of compute
Problem
About 23,658 products needed catalog cleanup. Categories were inconsistent, datasheets were missing and only 0.45% of items had an image. There was also a library of roughly 26,600 unclassified files. Running every field through a model would be expensive and hard to verify. Filenames weren't reliable enough to classify the documents.
Approach
I used rules and lookups for the straightforward work, which resolved about 60% of recategorization without model calls. Agents handle the remaining judgments; code controls provider calls, writes and budgets. A separate verifier checks outputs. People review disagreements and a random sample. The budget stops the process at 80%, and phase approvals go into an append-only record. Three review rounds found roughly 46 issues before production work. Document inspection also found six internal invoices with customer PII and one file with partial payment-card data in a ten-file sample. Every file now goes through a quarantine check.
Result
The pilot recategorized 697 products for under $2 of compute. The independent verifier agreed on 98.1% of pairs and 100% of category values. The full program's cost is projected at roughly a thousandth of naive per-product prompting; that is a projection, not a completed-program result. ERP investigation also uncovered 134,058 inspection images in 31,250 folders. The larger program remains subject to phase approvals.
<$2
COMPUTE · 697 PRODUCTS · 98.1% VERIFIED
- · ~23,658 products in program scope (roster-reconciled at 0.0% delta)
- · Pilot: 697 products for <$2 compute, 98.1% verifier pair agreement, 100% on category
- · ~60% of recategorization resolves deterministically at 0 tokens
- · Budget ceilings code-enforced, auto-halt at 80%
- · 134,058-image library uncovered via ERP forensics
- · PII quarantine gate born from a 6-in-10 sample finding