
Local AI Agents
Bounded agents you can trust on your own machine.
Self-paced · Evidence-led · Built in the open
Learn the systems behind useful AI: bounded agents, protected data, verifiable evidence and accountable decisions. 4 free, self-paced courses — open now. No accreditation claims, no hype — verified completion certificates only.

Three focused paths

Bounded agents you can trust on your own machine.

What modern AI can do, where it fails, and how to work with it safely.

AI in the project room — with governance and human accountability intact.

Multi-agent systems, injection defence and evaluation — still on your own hardware.
Monday · Wednesday · Friday
Why the real risk of an AI agent is the authority you hand it, not the model going rogue — and a practical way to turn down its functionality, permissions and autonomy separately.
A practical checklist for designing Home Assistant automations that recover clearly, leave evidence and avoid doing the wrong thing twice.
A practical way to design household automations so missed conditions, failed actions and recovery steps are visible instead of mysterious.