Short, practical field notes on building AI systems that outlast the next model release. Memory layers, enforcement, the unglamorous plumbing that makes any of it stick. Issues of The Equilibrium, kept here as permanent pages.
I stopped rebuilding my AI setup every time a model dropped, and built a memory layer instead. The part that made it stick was not the wiki. It was the enforcement.
My maintenance robot caught a bug my laptop was hiding from me. The lesson that matters: enforcement has to be mechanical or loud, never polite.
One short issue, no model-release noise. The same system is documented for free on the rest of the site.
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