The reference material behind the advisory work — two handbooks being written in the open, a curated reading stack, two tools that stay live on their own, and the essays that explain the reasoning. None of it is the point. The teardown is the point; this is what it's built on.
A working reference for what AI actually costs and what to do about it. Written for the engineer who has to make the change and the person who has to sign the invoice.
How to build systems on top of models that are wrong sometimes by design. The outline is published before the chapters are — every link below is a permanent address already.
Published books worth your time, layered from enterprise judgment down to engineering depth — scored, not just listed.
List prices for every language model with published per-token pricing — plus the output premium and cache discount nobody else publishes.
Every AI tool that costs $0, ranked by the paid product it displaces rather than by GitHub stars.
The reasoning behind the fixed-fee model, and everything else that didn't fit in a chapter or a chart.
A parent's field guide to AI in three parts — setup, practice, and what to actually watch for. Unrelated to the cost practice; kept here because it's free and it's ours.