6
Specialist agents
I built my own business operating system: an AI chief of staff that takes every task, pins down what “done” means, hands it to the right specialist, checks the work, and brings it to me for the final say.
When you run a business alone, you're the whole team: content, sales, strategy, research, tech and admin. Work starts without a clear finish line, so it grows. Generic AI drafts don't sound like you.
And the work you finish never makes it into your portfolio, your CV or your content, so nobody sees it.
Every task follows the same path. The specialist does the work, the chief of staff checks it, and I make the call.
It runs in Claude Code with sub-agents, on plain Markdown files kept in Git, connected to the Notion workspace I already use. No new subscriptions.
Every task starts with intake. The chief of staff fills in what the files already say and asks me only what's missing, five questions at most, in one message.
Before any work starts, the task gets a definition of done and the number that proves it. Scope creep gets flagged instead of quietly absorbed.
Content, Sales, Strategy, Research, Portfolio and a Systems Architect who reviews every build before it starts. Each one reads my voice guide and my rules before it writes anything.
When I change a specialist's work, the correction is logged against that role. A fix that comes up twice becomes a standing rule, so I stop making the same edit.
If you're a founder or a small team, AI can take real work off you without you losing control or your voice. You stay the decision maker; the system handles the briefing, the drafting and the checking.
For an agency, the same pattern works for client delivery: a clear intake, a definition of done on every job, a specialist per task, and a review step before anything reaches the client.