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 agents vs chatbots vs automation: which one you actually need
Three terms used interchangeably, three different things. Clear definitions and how to pick.
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.
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.