Ideas for
intelligent systems.
AI, automation, architecture, and the engineering behind better business systems.
Why most RAG systems fail in production — and how to build ones that don't
Retrieval-augmented generation looks easy in a demo and breaks in production. Here's the architecture, evaluation, and guardrails that separate the two.
Read more — Why most RAG systems fail in production — and how to build ones that don'tThe hidden cost of manual workflows
How to find the automation opportunities that actually compound — and which ones to ignore.
Read more — The hidden cost of manual workflowsNL2SQL: letting your team talk to the database
What it takes to make natural-language analytics safe, accurate, and genuinely useful.
Read more — NL2SQL: letting your team talk to the databaseEngineering WordPress for real performance
Beyond plugins: how to architect a WordPress build that scores near-perfect Core Web Vitals.
Read more — Engineering WordPress for real performanceDesigning systems before you build them
Why an afternoon of architecture saves months of rework — and how I approach it.
Read more — Designing systems before you build themIntelligent WooCommerce at scale
The architecture and automation that keep a storefront fast and converting under peak load.
Read more — Intelligent WooCommerce at scaleEvaluating AI systems you can trust
Evals, guardrails, and observability — the unglamorous work that makes AI production-ready.
Read more — Evaluating AI systems you can trustReady to build a system that
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