Writing
Incidents, controls, and what was missing.
Long pieces follow one shape: the threat, the decision, what got built, how it was verified, and the risk still sitting there. Shorter notes are me arguing with something I read. Both are here.
AI Governance
The AI that grades student work never leaves my house.
A working case study in keeping student data local: the threat, the decision, the build, how it was verified, and the risk that is still sitting there. Local LLM inference on a two-GPU node, with the failure behavior written down in advance.
AI GovernanceSteal my AI policy. Here is the thinking behind it.
A classroom-tested AI policy for teachers: three permission levels stamped per assignment, enforcement by defensibility instead of detectors, and how to adapt it for every subject. Free one-page download.