AI Agents
6 min readArchitecting Production AI Agents That Don't Break
The gap between an agent demo and a production agent is enormous. Here's the architecture that closes it: planning, typed tools, memory, and guardrails.
January 22, 2026Read
Blog
Field notes from production AI.
Hard-won lessons on agents, retrieval, evaluation, and the unglamorous engineering that makes AI reliable.
10 articles
RAG
6 min readRAG That Actually Works: Beyond the Naive Pipeline
Naive RAG — embed, retrieve top-k, stuff into a prompt — fails the moment it meets a real corpus. Here's what production retrieval requires.
January 15, 2026Read
Multi-Agent
5 min readCoordinating Multi-Agent Systems Without Chaos
More agents doesn't mean more capability — it usually means more ways to fail. Coordination patterns that keep multi-agent systems coherent.
January 8, 2026Read
Automation
5 min readWhere AI Belongs in Your Automation Strategy
AI is not a replacement for deterministic automation — it's a complement. Knowing which is which is the difference between reliable and brittle.
December 18, 2025Read
LLMs
5 min readFine-Tuning vs. RAG vs. Prompting: A Decision Framework
Three ways to adapt an LLM to your domain, each with a different cost-quality profile. A practical framework for choosing.
December 10, 2025Read
MLOps
6 min readMLOps Foundations: From Notebook to Production
A model that works in a notebook is a hypothesis. MLOps is the discipline that turns hypotheses into systems you can depend on.
December 2, 2025Read
Computer Vision
5 min readComputer Vision in Production: Lessons From the Edge
Vision models that ace benchmarks often stumble in the real world. What it takes to make computer vision reliable under real conditions.
November 24, 2025Read
LLMs
5 min readThe Discipline of LLM Evaluation
If you can't measure your LLM application's quality, you can't improve it. Building evaluation into the core of your development loop.
November 15, 2025Read
AI Agents
5 min readBuilding Trustworthy AI Systems for the Enterprise
Trust is the real adoption barrier for enterprise AI. The engineering practices that make AI systems auditable, safe, and dependable.
November 6, 2025Read
MLOps
5 min readThe Economics of AI Inference at Scale
Inference cost can quietly become the line item that kills an AI product. The levers that keep it under control without sacrificing quality.
October 28, 2025Read
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