I run a working AI estate at home: agents that watch threat feeds, manage infrastructure, and do real operational work rather than demos. This is where I write about what holds up in practice and what falls over.
Most agent demos collapse the moment they meet real infrastructure. The interesting problems are the unglamorous ones: how an agent knows what is actually deployed, how it records what it changed, and how it recovers when a step fails halfway through. I build against a live estate so those problems cannot be hand waved away.
Short, practical walkthroughs. No breathless hype, no ten minute preamble. If something took me three attempts to get right, that is usually the thing worth recording, so the failures stay in.
A daily brief built by the same agents, tracking what is actually being exploited rather than what is merely newsworthy.
Small, dependency-light CLIs built for the estate and packaged to run anywhere — one Python file, one package, safety rails on by default. Checksums on every download.