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.
in Arbeiten mit KI
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.
No-/low-code automation with Make, Zapier and n8n: building blocks, use cases for agencies and SMBs, pricing models and the costliest pitfalls.