We push one price to seven sales channels from a single table. An audit found zero drift on our own store and 130 problems on the marketplaces, most of them leftover deals. Then a price edit quietly reverted itself and every channel reported success on the wrong number. The model, the log, and the t

Outscraper as the Google truth layer for a national shop directory: places snapshots, one-time review texts, Directory Insights screens, first-run vs weekly cost, disclosed referral.

Three months of running a retail company with an AI team: 12,132 logged agent tasks, 158 scheduled jobs, and a human task queue where 611 of 758 items are still open. The bottleneck was never the agents. Here is the data, the design mistakes, and what I would build first.