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.
Onboarding engineers onto AI systems Under Audit helps CTO / VP Engineering leaders test controls, evidence, ownership, failure handling, and recovery. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
In energy, a data product needs an owner, a contract, and a stated position on gaps. Time-series data with silent holes is worse than data that admits what it does not know.
A Buyer's Guide to Customer 360 architecture helps CDO / VP Data leaders connect identity model, source authority, event model, profile assembly, and activation controls to reliable operating outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Access control for embeddings Under Audit helps enterprise leaders connect live access testing, low-privilege user probes, deletion verification, permission currency, and derived-store scope to controls tested rather than described. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Synthetic test data generation helps CTO / Head of AI leaders connect use-case constraints, generation method, privacy controls, distribution checks, and validation and refresh to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to LLM-as-judge evaluation helps CTO / Head of AI leaders connect rubric design, reference examples, judge model, calibration set, and agreement monitoring to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Reverse ETL turns warehouse models into production dependencies for thirty teams at once. Contract the models, check before sending, and register who breaks when you refactor.
A Buyer's Guide to Regulatory reporting for AI Under Audit helps Chief Risk Officer / AI Governance Lead evaluate model inventory, impact classification, evidence retention, reporting ownership, change history. Learn the controls, buying criteria, implementation approach, pitfalls, and production signals.
Discovery sprints Under Audit helps CTO / VP Product leaders test controls, evidence, ownership, failure handling, and recovery. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
AIOps helps fintech engineering teams connect alert correlation, noise reduction, suppression auditability, transaction path sensitivity, and honest expectations to the operational load teams carry. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Red-teaming AI products Under Audit helps security leaders connect evidence, controls, ownership, failure handling, and production decisions to measurable risk. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Agents that act on infrastructure are arriving in energy engineering. What makes them safe near regulated and operational systems is scope, permissions, and a blast-radius budget, not model quality.
What Agent-to-agent protocols Actually Costs shows leaders the engineering, control, change, and risk costs hidden beyond the headline price in production. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Chunking strategy helps engineering leaders connect severed qualifiers, answer-level evaluation, structural boundaries, overlap, and metadata to chunking measured on answers rather than retrieval scores. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Real-Time Customer Data helps hospitality teams connect arrival signals, in-stay events, profile freshness, staff-facing latency, consent, and fallback behaviour to the guest moments staff must handle well. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Model cards and documentation Under Audit helps AI Governance Lead / CTO evaluate model purpose, limitations, data provenance, evaluation results, version history, ownership. Learn the controls, buying criteria, implementation approach, pitfalls, and production signals.
A Buyer's Guide to AI agent orchestration Under Audit helps CTO / VP Engineering evaluate agent identity, workflow state, tool calls, policy enforcement, traceability. Learn the controls, buying criteria, implementation approach, pitfalls, and production signals.
AI audit trails Under Audit helps enterprise leaders connect sample testing, decision-level retrieval, retention proof, completeness evidence, and control operation to trails that survive an auditor picking a case at random. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Idempotency and retries Under Audit helps VP Engineering / Head of Infrastructure leaders test controls, evidence, ownership, failure handling, and recovery. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Data lineage helps CDO / VP Data leaders connect technical dependency capture, column and field mapping, business context, ownership, and change and incident workflows to reliable operating outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to API-first design helps VP Engineering / Head of Infrastructure leaders connect consumer use cases, contract design, versioning, error semantics, and governance and testing to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Agent-to-agent protocols helps engineering leaders connect delegated authority, provenance, trust boundaries, message semantics, and accountability to interoperability that carries permission as well as content. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Technical debt portfolios helps CTO / Head of AI leaders connect debt inventory, business impact, risk scoring, remediation options, and portfolio governance to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Canary releases for model updates 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.
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.
