VERIFICATION
The green check problem
Most AI workflows let the same model that wrote a change declare it correct. What changes when the verifier is a different model, in a different context, running checks the builder never sees.
JOURNAL
Notes from building a verified delivery environment.
Technical writing about verification, production control and the economics of AI delivery — including the parts that did not work.
WHAT WE WRITE ABOUT
Six pillars.
Proof over hype: benchmarks, false-green analysis and evidence anatomy, to educate the category.
Real shipping: from issue to safe rollout, migration rehearsal and incident learning — the complete outcome.
AI engineering: model routing, context, tool security, evals and cost.
Platform and SRE: sandboxes, cells, rollback, data and observability.
Open ecosystem: SDKs, integrations, community agents and standards.
Customer outcomes: measured time, rework, failure and recovery improvements.
ENTRIES
Recent writing.
PRODUCTION
A canary that can actually say no
Metric gates are easy to describe and hard to enforce. How pre-approved thresholds, an immutable release candidate and a prepared rollback change the conversation on release day.
ECONOMICS
What one accepted outcome costs
Token accounting tells you almost nothing about unit economics. Cost per verified outcome, by task class, is the number that survives contact with a finance review.
TRUST
Reading the trust gap honestly
46% of developers distrust the accuracy of AI tools against 33% who trust them — Stack Overflow Developer Survey 2025. That is not a marketing problem. It is a verification and evidence problem.
ARCHITECTURE
Why the scheduler has no model authority
Deterministic authority is the least glamorous decision in the product, and the one that keeps a bad model day from becoming a bad production day.
CONTEXT
Stale knowledge is worse than no knowledge
Retrieval that cannot tell fresh from stale, or trusted from untrusted, produces confident nonsense. Provenance and freshness are product features, not metadata.
EDITORIAL RULE
No fake launch metrics.
We publish technical narratives and transparent limitations. If a benchmark includes our failures, it says so.
Write with us.
If you run verified delivery in practice — release engineering, platform, QA, SRE or security — we would rather publish your account than another vendor opinion piece.
Pitch a pieceWRITING
Technical narrative, transparent limitations.
Every benchmark we publish includes the runs we lost. Every claim links to the method behind it.