OpenAI Dots 10 step guide from monokern

    by Nate: OpenAI

    Genuinely wild what monokern laid out here. OpenAI Dots is being pitched as a 24/7 AI company in a box, and the writeup breaks down ten steps for actually making it work instead of just poking at it. The short version of step one: quit building chatbots. The move is persistent workers, each one sitting on its own cloud computer with a browser, terminal, files, memory and schedules attached, so the work carries on once the laptop lid comes down. Step two is one job per agent. Responsibility spelled out, where it pulls from spelled out, how it operates spelled out, plus the exact spot where a human has to sign off. Then you put a Chief of Staff in place. A single Dot takes the objective, chops it into tasks, hands those to specialists, reviews what comes back and stitches together the final deliverable. Step four says get yourself out of the handoffs. A worker gets what it needs and nothing more, runs on its own, then reports up to whoever is orchestrating. Step five is tools that exist in the real world. Slack, Teams, Google Workspace, dashboards, APIs, authenticated browser sessions. Skip those and you're left with conversational agents and not much else. Persistent workflows come next, built on schedules and triggers, so monitoring, research, reporting and operational checks fire off without a person manually kicking them into gear. Humans stay planted around anything irreversible. Reading, researching, analyzing and drafting are fair game for agents. Sending, publishing, spending or touching important records waits for approval. Step eight: stop burning frontier models on every little thing. Orchestration and the tough judgment calls go to the smartest model available, while cheaper ones grind through high-volume background work. Shared memory for the whole team is step nine. Project specs, decisions, pricing, approved claims and requirements all live in one persistent workspace. And step ten closes the loop: signal, research, outreach, execution, measurement, next action. That last part is the interesting bit. You're not prompting a task at a time anymore, you're designing a system that keeps running after you log off.