Most AI workflows are linear. You build a prompt, run it, get output, done. The next time you need the same thing, you start from scratch. Maybe you save the prompt somewhere. Maybe you don’t. A flywheel is different. Every cycle … Read more
You know the pattern. You start a new Claude Code project, create a CLAUDE.md, and start dumping everything in there. Project context, coding preferences, API notes, team member names, database schemas. Two weeks later it’s 400 lines … Read more
The best way to make your AI agent smarter isn’t a better prompt. It’s putting the agent and your notes in the same folder. When your AI agent can read your knowledge base directly, you stop copy-pasting context into every … Read more
Most people use AI like a search engine with better answers. They type a question, get a response, and start over. Every task is isolated. Nothing builds on anything else. That’s fine for casual use. But if you’re spending hours … Read more
