Series
The Agent Production Line
Reading agents as a production line: where the concept ends, how model and harness divide the work, context and memory, enterprise cases, security, the protocol layer, and the three shapes of RAG.
Taiwan's Drone Industry, Taken Apart
Taking the drone industry apart into verifiable layers — from the industry map and the supply-chain gap, through endurance physics and flight-controller and radio-link source code, to Taiwan’s regulatory authority, procurement records and counter-drone deadlock. Every post starts from primary material.
Document Parsing in Practice
The three-layer ladder for turning documents into LLM-readable content — conversion, extraction, and parsing. From picking the right layer to comparing MarkItDown, anydoc, MinerU, and the rest.
Learning How to Learn
Auditing the evidence behind learning science alongside how generative AI is actually used — which practices hold up, which merely circulate, and what pen and paper still do better.
RAG Systems in Practice
A structured path through production RAG design, from failure modes and ranking to multi-agent orchestration.
AI Agent Systems in Practice
A practical series on AI agent systems, covering context, harness design, workflows, and multi-agent collaboration.
Claude Code Automation Guide
A practical series on Claude Code workflows, including hooks, skills, remote agents, routines, and team-scale automation.