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.
Shopify developer, freelancer, or agency: who to hire
Who should build your Shopify store depends less on the hourly rate than on who owns and runs it after launch. A plain comparison, written by an agency.
Writing Shopify product descriptions with AI, in bulk
Generating product copy is the easy part. Getting hundreds of listings written, checked, and uploaded without breaking the catalog is the real job.
How long it takes to build a Shopify store
Two stores we built went live in 11 and 12 days, and one catalog took 2. Where the weeks in a Shopify build actually go, and what shortens them.
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.
Automating an ecommerce store: from catalog uploads to weekly reports
The store tasks worth automating with AI, and the numbers from stores we built.
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.