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
Where workloads run — servers, VMs, containers, endpoints.
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.
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.
Implementing AI isn't buying a tool. It's staffing a team: expert at the task, junior at the call. Why that reshapes hiring, not just headcount.
Token prices are heading for a real-cost reckoning. The way through is the one we use for compute: own the AI baseline, burst for the bleeding edge.
Teaching my agent to update Docker stacks within policy: including the source-built ones that have no image to pull.
Building the cloud-init template every VM clones from. And learning the hard way that UEFI + cloud images + a serial console hides your boot failures.
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.
The five-minute baseline I apply to every new server before it goes anywhere near a network.