What a rehearsed rollback actually costs
FrameworkThe quarterly rollback drill checklist
[Principal, Engineering] · 2 min
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FrameworkThe 7-question AI readiness audit
[Principal, Engineering] · 2 min
FrameworkThe quarterly rollback drill checklist
[Principal, Engineering] · 2 min
FrameworkThe first-five-hires sequence
[Principal, Strategy] · 2 min
FrameworkGolden-set coverage in four passes
[Senior Engineer] · 2 min
FrameworkThe p95-to-adoption map
[Senior Designer] · 2 min
FrameworkThe risk-tier decision tree
[Principal] · 2 min
FrameworkThe vector-store cost model
[Senior Engineer] · 2 min
FrameworkTask-frequency interface audit
[Senior Designer] · 2 min
FrameworkThe senior-only staffing model
[Founder] · 2 min
This week, in full
Issue 14 · 29 September 2026 · by [Principal, Engineering] · 2 min
The framework in this issue
The 7-question AI readiness audit
Every system we have been asked to rescue this year was on its second build, and in every case the first one failed for the same reason: nobody could tell when the model was wrong. Not because it was hard to measure, but because measuring it was never anybody's job.
The uncomfortable version of this argument is that an eval set is an architectural decision rather than a testing one. Where it lives, who owns it, and whether it can block a release are all choices you make in week one and cannot meaningfully revisit in month nine — because by then the system is shaped around not knowing.
A thing we got wrong and fixed this month: our golden set was written entirely by engineers, which meant it measured the failure modes engineers had thought of. The client's claims team found four more in an afternoon, two of which were the expensive kind.
The fix was procedural rather than technical. The eval set now has a named owner in the business, and adding a case to it does not require a pull request. Coverage went up forty per cent in three weeks, and none of that was our work.
We removed a confidence score from an interface this month and adoption went up. The score was accurate; it was also uninterpretable — users had no way to convert 0.78 into a decision, so they either ignored it or over-trusted it, and which one depended on the user rather than on the number.
What replaced it was a sentence naming the two sources the answer came from. Same information budget, and now it points at something the user can check.
The procurement conversation has shifted from "can you build it" to "can you show me it still works in eighteen months", and most vendors cannot answer the second question because they never instrumented the first.
If you are buying this year, the question worth asking is not about the model. It is: what blocks your release, who owns that gate, and when did it last fire? A vendor who can answer with a number has run a real pipeline. A vendor who describes a process has not.
If that was worth two minutes, the next one arrives Tuesday.
The format
So you can skim straight to the one you care about, and so we cannot quietly turn it into whatever we felt like writing.
the founders
One argument, first person, signed.
rotating engineers
Something specific that was learned in production this month.
rotating designers
A design decision and what it cost.
rotating strategists
What the market did, and what it means for an operator.
Who writes it
[Principal, Engineering]
2 issues written
[Principal, Strategy]
1 issue written
[Senior Engineer]
2 issues written
[Senior Designer]
2 issues written
[Principal]
1 issue written
[Founder]
1 issue written
The numbers are uneven because the rotation is real. We publish them rather than claiming an even split, because an even split would mean we were assigning issues to fit a diagram.
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