How to ship AI features that survive their first customer
Most AI products fail on day one — not because the model is wrong, but because the system around it is. Here's the eval-first pattern we use.
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COREOS · v4.2.0
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No listicles. These are field notes from production: what broke, what worked, and what we'd never do again.
Most AI products fail on day one — not because the model is wrong, but because the system around it is. Here's the eval-first pattern we use.
Read →You can't cut cloud costs with a spreadsheet. You have to treat unit economics as a product with dashboards, alerts and a named owner.
Read →Zero trust sounds like enterprise theatre until your first leaked credential. The startup-sized version is smaller than you think.
Read →Book a free 30-minute technical call. Bring your architecture diagram — or don't, we'll sketch one live.