Long-form essays from the engineers shipping AI inside payers, hospitals, energy operators and proptech platforms. Written for technology leaders who care more about what runs in production than what trended last week.
A Buyer's Guide to Canary releases for model updates helps CTO / Head of AI leaders connect traffic cohort, behavioural metrics, baseline comparison, promotion policy, and rollback to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Golden datasets Under Audit helps AI leaders connect evidence, controls, ownership, failure handling, and production decisions to measurable risk. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Load testing agentic systems Under Audit helps teams connect evidence, controls, ownership, failure handling, and production decisions to measurable risk. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Test automation for AI-written code Under Audit helps teams connect evidence, controls, ownership, failure handling, and production decisions to measurable risk. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Red-teaming AI products helps CISO / VP Security leaders connect threat model, attack scenarios, system boundaries, control verification, and remediation and retest to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Hallucination detection Under Audit helps AI leaders connect evidence, controls, ownership, failure handling, and production decisions to measurable risk. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Groundedness scoring helps CTO / Head of AI leaders connect claim extraction, evidence retrieval, support judgement, aggregation policy, and threshold and review to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Shadow deployment for models helps CTO / Head of AI leaders connect traffic mirroring, input parity, output capture, comparison metrics, and privacy and cost controls to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Synthetic test data generation Under Audit helps teams connect evidence, controls, ownership, failure handling, and production decisions to measurable risk. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Acceptance criteria for probabilistic output helps CTO / Head of AI leaders connect task definition, quality dimensions, tolerance bands, failure taxonomy, and escalation and release gates to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Test automation for AI-written code cost analysis helps AI leaders connect architecture, engineering effort, controls, change, and risk to total operating cost. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Synthetic test data generation cost analysis helps AI leaders connect architecture, engineering effort, controls, change, and risk to total operating cost. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Shadow deployment for models cost analysis helps infrastructure leaders connect architecture, engineering, controls, change, and risk to total operating cost. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Regression testing for prompts cost analysis helps AI leaders connect architecture, engineering effort, controls, change, and risk to total operating cost. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Load testing agentic systems cost analysis helps infrastructure leaders connect architecture, engineering, controls, change, and risk to total operating cost. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
LLM-as-judge evaluation cost analysis helps AI leaders connect architecture, engineering effort, controls, change, and risk to total operating cost at scale. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Hallucination detection cost analysis helps AI leaders connect architecture, engineering effort, controls, change, and risk to total operating cost at scale. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Groundedness scoring cost analysis helps AI leaders connect architecture, engineering effort, controls, change, and risk to total operating cost at scale. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Golden datasets cost analysis helps AI and engineering leaders connect engineering work, controls, change, failure handling, and risk to total operating cost. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Red-teaming AI products cost analysis helps security leaders connect engineering work, controls, change, failure handling, and risk to total operating cost. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
One long-form essay every other Wednesday. Written by the engineers shipping production AI for our clients, not by a content team. No promotional emails. Unsubscribe in one click.
