AI Engineering Journal· 2026

How to build AI systems that survive production.

Field notes on AI automation — agents built with n8n and LangGraph, RAG systems, evals, and LLMOps. No hype, no demos: just architecture decisions, tradeoffs, and lessons learned from real projects.

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This journal is written entirely about AI automation — deep, practical, and grounded in sources. The moment an essay ships, you'll find it here, in the feed, and in the sitemap.

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  1. 01

    Designing agents that survive production

    Guardrails, retries, and observability for n8n / LangGraph workflows.

  2. 02

    RAG that actually grounds answers

    Retrieval quality, citations, and evaluating hallucination rates.

  3. 03

    Evals before you ship

    A lightweight harness to catch LLM regressions before your users do.