About

A project begins with something I want to make easier, more private, or more automatic. Then I compare the smallest build with the familiar option: a supported product, a subscription, a note, a switch, or doing nothing. Spare hardware is not a reason on its own.

The system does not need an AI model inside it. It belongs here when an AI agent materially helps me investigate, build, configure, diagnose, repair, test, or simplify something I actually use.

I give the agent the problem, constraints, files, and a definition of success. It may inspect code and logs, compare options, propose an architecture, make changes, and run tests. I decide what data is safe to share, perform physical steps, reject bad assumptions, and judge whether the result is acceptable in the house.

Issues, pull requests, tests, and sanitized artifacts can show what was requested and what changed. When they do not prove exact agent authorship, I say so instead of writing a cleaner story than the record supports.

AI-Buzz contains the question, current evidence, maintenance record, privacy boundary, and verdict. When a project is ready to be reproduced, its own repository is where code, setup scripts, configuration examples, diagrams, bills of materials, tests, restore notes, troubleshooting, and license terms belong.

Secrets, personal information, private household data, credentials, and unlicensed assets stay out. House AI is currently not published, its repository is private, and it has no published license. That project is not described as open source until both source and an explicit license are public.

1. 01

   Source-researched

   Public sources describe the option; I have not used it.

2. 02

   Bench-tested

   A bounded component or system worked under declared bench conditions.

3. 03

   Home-tested

   The complete setup worked in its intended household setting.

4. 04

   Follow-up result

   A dated check shows what survived, broke, changed, or was retired.

An automation inherits updates, dependencies, credentials, network failures, hardware problems, recovery steps, documentation, and household support. Once a project reaches normal use, I track the interventions that matter and the date of the last one. I do not turn them into a made-up efficiency score.

The most useful update may be that the system broke after an operating-system change, that an agent repaired it, that the repair survived five restarts, or that nobody used it and the simpler version won.

Keep it. Keep it but simplify it. Buy the supported option. Accept the subscription. Return to the manual process. Stop maintaining it. Retire it because nobody uses it. Working once is not enough; the project has to provide more value than the time, attention, money, privacy exposure, and repair work it consumes.