Topics

Every subject covered here, with the writing and the courses that go with each one.

When the output is a servo, not a paragraph — Connecting models to hardware — relays, servos, sensors, robots — and the constraints that appear the moment software has to act on a physical thing. (2 posts, 5 courses)
Automating work somebody actually depends on — Picking the task worth automating, shipping it to people who will never read a log, and proving afterwards that it helped. (1 posts, 3 courses)
What computing costs, in watts and in pounds — Climate and computing done with a plug meter and a grid API instead of a position — starting with the machine on your own desk. (1 posts, 3 courses)
Knowing whether the output is any good — Public benchmarks measure the average task. You have one task and a pile of awkward inputs. How to build the small, specific eval that actually catches your failures. (1 posts, 2 courses)
Quoting a job without losing money on it — Margin arithmetic for people who build things: what a running system costs per month, how to price it, and how to test demand before you build. (2 posts, 3 courses)
Running AI on hardware you own — What actually fits on a consumer GPU, what it costs to run, and where local inference stops being the cheaper answer — measured rather than argued. (2 posts, 3 courses)