AI Workflows by Keyword: How We Make Recurring Routines Enforceable
A typed keyword triggers a fixed AI routine — and every single step must be committed before the next one appears. Why that's the actual trick.
Wiederholbare Abläufe für Content-, Code- und Recherche-Aufgaben mit KI.
A typed keyword triggers a fixed AI routine — and every single step must be committed before the next one appears. Why that's the actual trick.
How I turned my CLAUDE.md from a style guide into a token budget — 6 principles for lower cost, less waiting, and more honest reporting.
The session URL had suddenly vanished from the terminal. How we found it again via a server endpoint — and why it enables working above the IDE.
How I keep an AI knowledge base current with RAG — searchable, maintained by a keyword and re-indexed on its own at night, instead of going stale.
Headless agents on your own machine, fed by the subscription you already pay for instead of an API bill — how boostN orchestrates many models.
Raw HTML mockups burn tokens before the AI even understands them. A strip step on the server cut one file from 26,900 to 650 tokens.
Claude Code is Anthropic's official AI coding tool. How it's built, what it does, and how tool use, MCP and permissions fit together.
How the Model Context Protocol connects Claude Code to databases, APIs and custom tools — and what to watch out for on permissions.
How the auto-classifier in Claude Code scores tool calls live, blocks risky actions, and which defense layers sit behind it.
The most important features in Claude Code — from slash commands and hooks to plan mode, sub-agents and MCP integration.
Memories, CLAUDE.md, and slash commands are suggestions — not commands. What it really takes to make AI models stop reliably on critical actions.
Pair hard tasks with easy ones — and why a prepared content workflow makes engineering wait times productive instead of dead air.