@pro.glitch: Five AI employees do eighty percent of my work — here's how You chat with AI. You paste in context, ask good questions, it helps. Genuinely a good start — most people never get that far. But you feel the ceiling: every answer lands back in YOUR hands. You copy, finish, send, file. So what else can it do? Complete jobs. Start to finish, without you in the middle. The road has three steps, climbed in order: AUTOMATIONS — work on rails. Something happens, steps fire, done. AGENTS — hand over a whole job; it plans, does, checks its own work, goes again until finished. EMPLOYEES — an agent that keeps: memory (corrections stick), skills (works your way), a schedule (shows up unasked). Where do you build it? Claude Code already has the whole agent infrastructure built in. There's no app to code — you create plain files in English: a context file (your business on paper), skill files (your jobs, your way), a schedule, and connections into the tools you already use. That's the entire build. Result: a command center for your entire business. Add a second brain and your employees know EVERYTHING — your apps, websites, pictures, logos — and grab what they need themselves. Two of mine: my builder employee knows five of my applications. I say "change the headline on the second app and make it live" — he knows where to reach, what to change, how to ship it. Corrected him constantly the first weeks; now I barely correct him at all. My marketing employee is wired into my analytics and email list. She writes the email, builds the design, drops in pictures, logos, products, links — uploads the files to storage and links them in herself. Trained once, corrected a few times, now she runs the job A to Z. Two examples out of hundreds of day-to-day jobs. Chatting gets you answers. Building gets you a workforce. #aiagent #aiemployee #aiautomation

Professor Glitch

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Thursday 03 September 2026 11:54:38 GMT