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.
Reranking models Under Audit helps AI leaders connect candidate set, reranker model, cutoff policy, evaluation, and ranking to defensible evidence ranking. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Self-healing infrastructure 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.
Long-running agent workflows Under Audit helps AI leaders connect durable, version, event, resume control, and workflow to controlled long-duration execution. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Conversation state management Under Audit helps AI leaders connect state, scope, update, expiry and deletion, and state to reliable conversational state. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
For long-lived energy estates, choose the format on engine independence and exit cost. Your data will outlast the vendor relationship you are about to enter.
Cloud Waste helps SaaS engineering teams connect idle resource detection, attribution, lifecycle defaults, deletion authority, and team accountability to the third of the bill that does nothing. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Edge inference Under Audit helps engineering leaders connect devices, egress, updates, fallback, and evidence to defensible local inference in production. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Chaos testing AI dependencies 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.
Build versus buy decisions 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.
A Buyer's Guide to Third-party model risk Under Audit helps Chief Risk Officer / CTO evaluate vendor due diligence, model change control, data handling, service resilience, exit planning. Learn the controls, buying criteria, implementation approach, pitfalls, and production signals.
FinOps for AI workloads Under Audit helps platform leaders connect usage, units, budgets, routing, and evidence to defensible AI economics in production. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Inventory availability needs seconds. Merchandising analysis needs a nightly run. Choose by decision deadline, and remember that streaming complexity has to survive peak.
Small language models in production Under Audit helps AI leaders connect tasks, routing, fallback, serving, and evidence to defensible model assignment. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
AI Incident Management helps fintech engineering teams connect detection, regulatory notification timing, timeline evidence, customer impact assessment, and learning quality to incidents that carry reporting obligations. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Reverse ETL puts guest insight into the systems staff use at the desk. The risk is that stale or wrong data reaches a person standing in front of a guest.
Roadmap sequencing for AI 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.
Contract testing for model APIs 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 Golden datasets helps CTO / Head of AI leaders connect use-case coverage, failure classes, label quality, versioning, and refresh policy to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
What Hybrid search for retrieval Actually Costs shows the engineering, control, change, and risk costs hidden beyond the headline price at enterprise scale. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Rate limiting agent traffic helps VP Engineering / Head of Infrastructure leaders connect identity and scope, action budgets, burst policy, retry awareness, and escalation and kill switches to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Disaster recovery for model services helps VP Engineering / Head of Infrastructure leaders connect recovery objectives, model and artefact replication, dependency recovery, traffic failover, and validation and failback to reliable operating outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Inference autoscaling 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.
Text-to-SQL helps retail teams connect semantic grounding, agreed metric definitions, time period handling, guardrails, and query cost to the merchandising questions people ask hourly. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Data quality SLAs helps CDO / VP Data leaders connect critical data products, quality dimensions, thresholds and error budgets, ownership and escalation, and evidence and review to reliable production outcomes. 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.
