A self-paced capstone for professionals who already brief single proactive agents. Build Discovery, Delivery Planning and Acceptance teams, carry a late scope change through them, and approve what leaves.
What you will be able to do
- Design a Factory around one shared record: Set up three proactive AI agent teams for a bounded project, each owning one output in a shared project record. Discovery owns the checked brief and sources. Delivery Planning owns the options, plan and action register. Acceptance owns the definition of done.
- Write handoff agreements that send weak work back: Write down what each team must pass on: the brief, sources, assumptions and approval status. Build a handoff checklist the receiving team uses. Work that falls short goes back to its owner with the reason recorded.
- Have Dots or Claude Duet follow the approved record: Set up OpenAI Dots or Claude Duet to follow the record across team handoffs and report current actions, draft deliverables and the decisions holding up progress. Nothing gets sent, committed to or sent to anyone unless you approve it.
- Carry a late scope change through every team: When Wednesday's out-of-scope preference arrives, log it, pause only the work it affects and hold the handover. Then put the tradeoff to the project owner: widen the scope, move the deadline or keep the requirement. The logged decision goes to all three teams.
- Test the Factory against the week's surprises: Run changing inputs, blocked work, repeated inputs and a later restart from saved state. Check for duplicate tasks or messages, scope that grew without anyone deciding it, accepted requirements that were dropped, and owners, dates or approvals that were guessed rather than agreed.
- Release a handover you can vouch for: Write a definition of done: every claim sourced, every dependency feasible, every commitment approved, and a page the recipient can act on without a follow-up call. Write operating rules another responsible person can inspect. Then run a full simulation from a seeded request to a reviewed handover pack.
Taught at learn.c-o-u-r-s-e-s.com: lessons that adapt to your level, an AI tutor you can ask anything, quizzes and flashcards, and a certificate when you finish.
