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
Single-Agent vs. Multi-Agent AI: A CTO’s Guide to Architecture & Costs
Is your multi-agent system burning tokens? Discover the "Coordination Tax" hidden in agentic AI. We compare Single-Agent vs. Multi-Agent architectures on cost, reliability, and speed to help you build production-ready systems.
Prompt Caching vs. Fine-Tuning: Stop Wasting AI Budget
Is fine-tuning inflating your LLM bill? Discover why Prompt Caching is the superior architecture for context injection and how to save 90% on input tokens.
The Fatal Flaw in Your AI Strategy: Why Single-Provider Reliance is a Ticking Time Bomb
Relying on OpenAI alone guarantees SLA breaches. Learn to build a defensive multi-provider AI architecture with AI Gateways to achieve 99.99% uptime.
Why Only 5% of AI Projects Reach Production (And the "Evaluation Gap" Behind It)
Industry data shows only 5% of AI projects reach full production. Discover the 5 hidden evaluation gaps from RAG black boxes to compliance risks that stall the rest.
LLM Observability Costs 2026: Pricing, Categories & The APM Tax
Is your APM bill hiding a €50k/month "Observability Tax"? We break down the 4 tool categories, 2026 pricing models, and how to choose the right hybrid stack.
Dedicated vs. Serverless GPU Inference: A CTO's 2026 Guide
Torn between dedicated and serverless GPU? Our CTO guide offers a data-driven breakdown, TCO calculations, and a strategy for optimizing your AI infrastructure.
The 5 Most Common Problems with Agentic AI in Production - And How to Solve Them
Gartner predicts 40% of AI agents will fail. Discover the 5 top production pitfalls from hidden cost spirals to compliance risks and the architectural fixes you need.
The "Redundancy Tax": How Prompt Caching & The Rule of 3 Fix AI Margins
Stop paying full price to re-process static data. Discover how Prompt Caching reduces LLM costs by 90%—but only if you follow the "Rule of 3" break-even math.
Defensible AI: The CTO’s Guide to Reliable "LLM-as-a-Judge" Evaluations
Stop relying on "vibe checks." This CTO guide covers how to build reliable LLM-as-a-Judge evaluations, enforce strict rubrics, and block AI regressions in CI/CD.
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