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Gates Earned From Failure: a cost test for agent guardrails

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Every guardrail in my agent-built project was earned from a real failure, not designed up front. A cost test for when to build one, when to wait, and when to retire it.



On a Wednesday in late May I caught a bug by reading. The project's glossary — the

canonical list of the domain terms my coding agent is required to use — had drifted

from the domain model I actually carried in my head. Nothing flagged it. No test

failed, no check fired, no compiler complained. I noticed because I happened to be

reading the file and the words were wrong.



What I typed next is the whole argument in one line. Not "fix the glossary," not

"I'll be more careful," but a question aimed at the toolchain instead of the error:




the GLOSSARY already drifted away from my domain model vision and I would like

to prevent this in future refactors




That reframes the task. The drift stops being an error to correct once

and becomes a signal about the toolchain: if I caught a class of drift by

reading, an enforcement axis is missing.
The fix isn't to read harder next time.

Reading harder is just minting another rule in your head, another wish. The fix is

to add the check that couples the two things that drifted, and then never spend

that attention again.



I did not sit down and design a governance system, and that's the most transferable

thing here. Every check in this project — a couple dozen now, wired as pre-commit

hooks — was born from a particular drift I'd already been bitten by. The ordering is

the point. The failure came first; the gate came second, shaped to the exact failure.






Renames stopped being discipline



The clearest place this showed up was renaming. (I told the measurement side of

this story in a companion piece, , the mistake-proofing of the

Toyota Production System, already splits a control that makes the error

impossible from a warning that only signals it. The two middle rungs below are

those two ideas wearing software clothes. Birgitta Böckeler's

.

An agent makes this worse, not better, because it will cheerfully and fluently use

whichever term it last saw, in whichever surface it's editing.



The transferable move is to stop treating your instruction file as the place where

correctness lives. Prose is where preferences live. Correctness lives in the gates,

default paths, and tripwires you build, each one shaped to a failure specific

enough to point at. You don't govern an agent by

predicting how it'll go wrong. You let it go wrong cheaply where you can, and you

convert each real miss into the cheapest rung that makes it impossible to miss that

way again.






This essay was written by directing a coding agent over the project it describes;

I direct and judge, the agent drafts and argues back. The argument-back, in this

case, is most of beats four and five.



I build governed agent systems at the intersection of Contact Center software and

AI. If that's a problem you're chewing on, I'm reachable on ,"
vasyltretiakov.dev, 1 Jun 2026 — companion essay.

  • Vasyl Tretiakov, ","
    martinfowler.com, 2 Apr 2026 (accessed 9 Jun 2026).

  • Birgitta Böckeler, "," Wikipedia (accessed
    9 Jun 2026). Shigeo Shingo's mistake-proofing; the control-vs-warning split.






  • Published at vasyltretiakov.dev.

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