Notes on building AI that ships.
Practical writing on building and shipping AI systems: the data underneath, the agents and RAG on top, the automation that runs it, the stores and sites it powers, and the search visibility that gets it found. What we learn building for clients, written down.
The range is deliberate, because we build the whole stack, not one slice of it. Some pieces cover AI search visibility (GEO), and they are structured the way we structure client content, with the answer first so assistants can quote them. The rest is simply what it takes to get data pipelines, agents, automation, and storefronts to production.
How to automate a weekly Shopify sales report
The weekly sales spreadsheet is one of the most common manual jobs in a small store. What the report should contain, and how to build one that stays correct.
Most of the AI work is the pipeline no one wanted to build
Models are only as good as what feeds them. A field guide to the unglamorous data work underneath.
Building something with AI?
From data pipelines to agents to storefronts, we build AI systems and ship them to production. Tell us what's broken.