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.
Distillation for cost reduction Under Audit helps AI leaders connect workload, teacher, risk-weighted, routing, and distillation to lower-cost inference. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Agent spend controls Under Audit helps AI leaders connect cost attribution, runtime, loop detection, routing control, and spend to traceable spend control. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Speech interfaces in production Under Audit helps engineering leaders connect audio, turns, transcripts, tools, and replay to defensible voice interactions. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
What AI agent orchestration Actually Costs shows the engineering, control, change, and risk costs hidden beyond the headline price over the operating life. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
What Fine-tuning versus prompting 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.
What Speech interfaces in production 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.
What Context window management 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.
Chunking strategy Under Audit helps AI leaders connect content segmentation, boundary, overlap, content-type, and chunking to auditable retrieval quality. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Human-in-the-loop approval gates helps engineering leaders connect rejection rate, reviewer basis, gate placement, throughput, and decay to gates that catch things rather than rubber-stamp them. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to AI feature discoverability helps product and engineering leaders connect capability affordances, entry points, expectation setting, failure visibility, and progressive disclosure to features users can find and learn. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
What Semantic caching Actually Costs helps leaders see the engineering, control, change, and risk costs behind the first implementation at enterprise scale. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
What Retrieval-augmented generation Actually Costs explains the engineering, control, change, and risk costs behind the first implementation in production. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Agent refusal behaviour helps engineering leaders connect over-refusal cost, refusal quality, measurement in both directions, alternative offering, and domain tuning to refusals that do not block legitimate work. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
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.
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.
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.
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.
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 Small language models in production helps CTO leaders connect task fit, routing, latency, hosting, and evaluation to production economics. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Model routing and fallback helps engineering leaders connect behavioural difference on failover, prompt portability, quality tiers, silent degradation, and failing closed to fallback that does not quietly change your answers. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
A Buyer's Guide to Agent tool calling helps engineering leaders connect parameter correctness, tool selection errors, schema design, validation, and failure feedback to reliability measured on outcomes rather than call rates. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Inference cost attribution Under Audit helps platform leaders connect requests, models, tenants, fallback, and billing to defensible inference allocation. Learn the 2026 operating model, components, pitfalls, signals, and implementation steps.
Prompt versioning Under Audit helps AI leaders connect prompt, composition layer, release, evaluation gate, and prompt to reconstructable prompt behaviour. 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.
