AI adoption, in practice
How companies actually get AI into their workflows — what works, what stalls, and what to do about it.
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The Context Stack: three ways to get your company's data to the AI you already use
There are exactly three ways to connect your company's data to ChatGPT, Claude, or Gemini — plug into your tools, buy a layer, or build your own pipework. Here's what each one is, who it's for, and where it breaks.
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AI adoption stages: which one is your company actually stuck at?
No company sits at one AI adoption stage — different workflows are at different stages, and almost everyone stalls at the same gap: pilot to production. Here's the map and how to cross it.
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Agent Workspace: one entry point for all your work, and an AI agent that stays sharp
A root index file plus one index per project lets an AI agent reach everything you're working on while only ever loading a slice — so its context stays lean and it doesn't get dumber as you grow. I call the setup an Agent Workspace.
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