Field notes.
Real opinions about what AI is getting right and wrong for operators in 2026, written by us, in our own voice, not a content calendar. Plus the occasional teardown of something Izzy built and what it taught us.
Articles

LLM Evaluation Guide: How to Build a Golden Set for Prompts
Public benchmarks fail for enterprise AI. Learn the engineering protocol for building, versioning, and automating Golden Sets for reliable LLM evaluation.

The AI Solvency Crisis: Fixing Evaluation Economics with Hybrid Active Learning
Stop the vibes tax. Learn how a Hybrid Active Learning router cuts AI evaluation costs by 80% while ensuring EU AI Act compliance and data reliability.

Calibrated Reliance: Stop AI Hallucinations with Better UX
Seamless interfaces make users trust AI hallucinations. Learn how CTOs can design for Calibrated Reliance using risk-weighted UI friction and ensure AI safety.

RAG Hallucinations: Why Your Vector Database Is Lying to You (And How to Fix It)
You can't prompt-engineer your way out of bad retrieval. Learn how Semantic Chunking, Metadata Enrichment, and Reranking eliminate RAG hallucinations at the source.

5 Silent Killers of AI Agents: Challenge G & Circuit Breakers
Discover the 5 probabilistic failure modes of AI agents (Challenge G) that break DevOps. Learn how Agentic Circuit Breakers stop infinite loops and cost spirals.

The 4 Hidden Risks of Enterprise RAG (And How to Fix Them)
Is your enterprise RAG system secure? Discover the four critical vulnerabilities—from RAG poisoning to EU AI Act compliance gaps—and how to engineer solutions.

The 5 Silent Problems Causing Your LLM Agents to Fail (And How to Fix Them)
Is your AI breaking for no reason? Discover the "Tuesday Failure Pattern" and the 5 silent failures caused by model drift from format decay to safety overreach, and how to stop them.

A/B Testing LLM Prompts: The CTO’s Guide to Scientific AI Engineering
Stop "vibes-based" AI engineering. Learn how to implement scientific A/B testing for prompts, build a Golden Dataset, and cut LLM costs by 30%.
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