AI is humanized compute
AI isn't a new domain, it's compute grown up enough to act. Treat it like staff: a broad junior, always inside a human accountability tree, carrying its own papers.
Notebook
Prove it — ownership, change control, audit trails.
AI isn't a new domain, it's compute grown up enough to act. Treat it like staff: a broad junior, always inside a human accountability tree, carrying its own papers.
The framework I use to keep infrastructure sane: five pillars on four foundations, every component a CI wired to the rest.
Identity is the control plane for who and what can do what. The trick to keeping it sane: nest accounts into groups and roles, and never pin a permission on a user.
A private CA as the single SSH trust root: short-lived certs for humans (SSO+MFA), 10-minute ones for machines, and host certs that kill known_hosts TOFU.
Closed software earns its place, but engineer the exit. The line that matters: a moderate lock-in you can leave, a super lock-in that owns you.
When an orchestrator agent delegates to a sub-agent, it can quietly hand over a token that does far more than the sub-agent should. Here's the token-chain risk, IBM and Red Hat's Kagenti blueprint, and a zero-trust pattern you can run without re-platforming onto Kubernetes.
The first phase changes nothing. It just reads live state and proves how wrong the plan already was. Discovery is the cheapest phase and the most valuable.
Starting a phased, infrastructure-as-code rebuild of the homelab, and pairing with an AI agent that does the typing while I keep the judgement.