Product definition: what it does, who it's for, what success looks like. UX and UI design for the AI experience, including how it handles errors and uncertainty. Build on Claude or GPT with the integrations your tool needs. Multi-agent or pipeline architecture where the problem calls for it. Real-world testing before launch. Documentation and handover.