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.
What Function calling reliability 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.
Agent traffic breaks rate limits built for humans and stresses idempotency on payment APIs. Separate north-south, east-west, and agent paths, and make every retry safe.
Schema Evolution helps SaaS data teams connect additive change, versioning, deprecation windows, consumer registries, contract testing, and rollout sequencing to the downstream systems a change can break. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
What IP provenance for AI code Actually Costs shows the engineering, control, change, and risk costs hidden beyond the headline price across production AI. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Service Mesh helps fintech engineering teams connect mutual authentication, segmentation evidence, policy enforcement, audit trails, and operational burden to controls that need demonstrating rather than asserting. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Retrieval-augmented generation Under Audit helps AI leaders connect sources, permissions, freshness, retrieval, and citations to defensible grounded answers. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Structured output enforcement Under Audit helps engineering leaders connect schemas, decoding, validation, permissions, and replay to defensible automation. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Terraform module is an API your whole org consumes. Design the interface for the caller, version it properly, and stop exposing every provider argument as a variable.
Iceberg suits energy because time-series data gets corrected for years. Snapshots and schema evolution matter more here than in most estates, and so does compaction.
A Buyer's Guide to Change data capture helps CDO / VP Data leaders connect source capture, event semantics, ordering and offsets, schema handling, and recovery and replay to reliable operating outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
AI-Assisted SRE helps SaaS engineering teams connect diagnostic automation, context assembly, toil reduction, judgement boundaries, and on-call load to the reliability work that scales badly with team count. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
What Distillation for cost reduction Actually Costs shows 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 Secrets management for agents helps CISO / VP Security leaders connect workload identity, secret issuance, scope and policy, rotation and revocation, and audit evidence to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Hallucination detection helps CTO / Head of AI leaders connect claim segmentation, evidence availability, support checking, risk weighting, and response policy to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Function calling reliability Under Audit helps AI leaders connect function, input, missing-data, execution, and reliability to reliable function execution. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Multi-agent handoffs Under Audit helps AI leaders connect handoff contract, context, authority transfer, receipt, and handoff to traceable handoff continuity. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Infrastructure as code for ML 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.
Streaming versus batch pipelines Under Audit helps CDO / VP Data 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 Prompt versioning helps engineering leaders connect paired evaluations, rollback, environment parity, change attribution, and deployment coupling to prompts versioned with the tests that define them. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Reranking models helps engineering leaders connect upstream recall limits, candidate set size, latency cost, evaluation against the ceiling, and domain fit to reranking that cannot retrieve what retrieval missed. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
What AI feature discoverability 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 Feature flag strategy helps VP Engineering / Head of Infrastructure leaders connect flag taxonomy, targeting, ownership, lifecycle, and failure behaviour to reliable production outcomes. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
What Explainability requirements 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.
Hybrid search for retrieval Under Audit helps AI leaders connect lexical, semantic, filter, fusion, and retrieval evidence to defensible retrieval coverage. 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.
