I'm Robert Sher. I build AI systems for distributors and product businesses, and I show the checks that prove they work before anyone relies on them.
A 27-second look at the problem, what we built, and what we measured.
Built: an order assistant that reads each marketplace order and enters it into the ERP.
Measured: first real order in 24 seconds, every field correct.
Built: a purchasing assistant that drafts the reorders; a person approves.
Measured: 16 of 16 safety checks, each seen to fail first.
Built: a working prototype, put next to the quote.
Measured: about $500K avoided.
Built: a store on a ~60,000-product catalogue, fed by 20+ supplier feeds.
Measured: live, selling through a major marketplace.
Built: a modern layer in front of the legacy ERP, one controlled way in.
Measured: tested end to end in a test environment.
Real screens from systems I built. Client names, prices and contact details are masked.
What it does: A headless B2B and B2C store with live availability, shipping rates and card checkout, fed by 20+ supplier feeds.
Result: Live, selling through a major marketplace. About $500K outside quote avoided.
What it does: A coach that knows your training history, talks between sets, and tracks food and body state.
Result: On the App Store and Google Play, after working through several store rejections to a compliant build.
What it does: Lets AI agents see and operate the Mac and browser, then audits every run and turns failures into reviewed fixes.
Result: Every run is logged and checked. 155 gaps filed and tracked to fixed or open.
What it does: AI-guided member survey where answers and booking contacts are kept in separate stores, so no one can be identified.
Result: Approved by the association task force for member distribution.
What it does: A booking chatbot, a publishing system with SEO scoring, and a move to a faster static site with a revert snapshot taken first.
Result: 267 commits over a year; the live site was never at risk.
Full write-ups of each project are on the current homepage.