My AI Runs a Team: Three Model Tiers for Twenty Scheduled Tasks
Most people interact with AI the same way: type a question, get an answer, close the tab. My AI runs a team.
Twenty scheduled tasks run on my server: blog posts, email triage, website audits, newsletters, social media. Each one spawns a separate worker and picks the right AI model for the job.
A blog post gets Claude Opus, Anthropic’s most capable model. It receives a style guide, the topic, and full workspace access. Writes the post, generates an image, publishes to WordPress, reports back. Eleven cents.
A routine WordPress edit or data export gets a cheaper, faster model. You don’t hire a novelist to reorganize the filing cabinet.
My interactive sessions run on the premium tier for the work that actually needs it — editing a manuscript, thinking through a marketing problem, debugging a workflow. Three tiers. Each doing what it does best.
It started as a cost question: why am I running the expensive model on a data export? Six months later, it’s an architecture. I set the rules once; the AI assigns work like a small-office manager who knows which employee handles what.
OpenClaw is a self-hosted AI assistant that runs on your own server — your data, your rules, always on.
I teach two classes on setting up and getting the most from OpenClaw on Udemy: Easy OpenClaw and Get Real Work Done With an AI Assistant.
