Field notes from the regulated edge.
Methodology, AI assurance research, and reports from inside live engagements. We write the way we work — evidence first, claims second, nothing the data won't carry.
What "safe to ship" actually means for an agent in production.
A purpose-bound evaluation isn't a benchmark score. We walk through the evidence trail behind one banking assistant — 4,100 adversarial turns, three assurance layers, and the single transcript that held up the release.
The whole register.
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What the work returned.
Release regression cut from six weeks to nine days.
A Velocity Pod rebuilt the regression suite around risk, retired 40% of redundant cases, and put autonomous runs on every merge.
Proving a claims agent wouldn't mislead a customer.
An Assure Pod built a purpose-bound evaluation across conversational, responsible, and agentic layers — evidence the regulator accepted.
Performance assurance through an 11× traffic event.
Non-functional engineering modelled the spike before it arrived. Zero customer-facing degradation across the window, fully evidenced.
QE notes from the regulated edge.
One considered email every other week — a field report, a method we changed our minds about, and the AI assurance debate the category is avoiding. No digests, no roundups, no fluff.