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.
AI automation for a small business: where to start
The right first project is a boring one: a task that repeats every week and eats someone's hours. How to pick it, with two first projects that paid back.
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.
AI agent or a simple workflow? When to use each
Agents are powerful and overused. A decision guide for when a plain n8n, Make, or Zapier workflow is the better build.
Automating an ecommerce store: from catalog uploads to weekly reports
The store tasks worth automating with AI, and the numbers from stores we built.
WhatsApp automation for business: what's possible, and what it costs
The two WhatsApps, what you can automate, and the costs and rules to plan for before you build.
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.