Turning OpenAI Dots into a company-style agent pipeline
The author shows how to split OpenAI Dots into specialized agents for chief of staff, research, writing, coding, review, security, marketing and data, running a full workflow via shared memory and scheduled triggers while offline.
Holy sh*t, you can basically turn OpenAI Dots into an entire company One message can kick off a team of specialized agents that research, build, review and ship while you're offline The workflow looks like this: Brief → Orchestrator → Specialized Dots → Review → Final output Here’s what that can look like: → one Dot acts as the chief of staff and breaks the objective into smaller tasks → another handles research and pulls the relevant information from the web → another writes the first version while working directly in its own cloud environment → a coding Dot turns the spec into production code and runs the tests → a reviewer Dot checks the output and sends anything broken back for another pass → a security Dot scans the code for secrets, risky dependencies and obvious vulnerabilities → a marketing Dot turns the finished product into landing page copy, ads and launch posts → a data Dot tracks the results and feeds the findings back into the next cycle → everything gets saved to shared memory so the next task starts with context instead of a blank chat → scheduled triggers keep the whole pipeline running even when nobody is online the crazy part is that you're not managing 10 different ai chats You give the system an objective The agents figure out who should do what, execute in their own environments, review each other's work and return the finished result This is starting to look less like using ai And more like running a company with it
This post quotes another post: “Dots executes, Jev decides: building a semi-autonomous AI employee”