Artifacts over opinions
Every episode is a system that runs, deploys, and can be rebuilt by a stranger from the published steps.
A public lab that builds enterprise-grade AI governance end-to-end — working, security-hardened, reproducible systems at the seam between generative AI and regulated environments. Every decision recorded. Every claim tested.
The space splits into prompt-tip influencers and slideware consultants. AIHOOTS occupies the empty middle: runnable reference systems that solve a real governance problem, built with the same engineering discipline the systems themselves demand.
Every episode is a system that runs, deploys, and can be rebuilt by a stranger from the published steps.
CI, SAST, dependency and secret scanning, SBOMs. Governed AI, built with governed engineering.
Controls are measured, not asserted — precision, recall, and the misses are published alongside the wins.
Nothing is announced before it works — no "coming soon." Each system is self-contained, so the body of work compounds episode by episode instead of stalling in one unfinished platform.
The whole system working locally against a containerized small language model.
Pipeline green, security gates passing, architecture and decisions documented.
A clean-machine rebuild is executed and verified — if a reader can't retry it, it isn't done.
The engineering story, the code, and the steps — public, together.