Outcome
A shipped AI feature integrated into your product with maintainable code, persistence, clear operational behavior, and handoff documentation.
Ship AI inside the product experience
SaaS AI feature
Connect frontend, backend, and data correctly
Admin assistant
Avoid isolated prototypes that cannot scale
Content automation inside a product
Keep user and data boundaries visible
Job/proposal automation feature
What you receive
- Feature specification
- Frontend UX implementation
- Backend API/service layer
- Database changes
- AI/model integration
- Deployment notes and handoff
Methodology
- Define the feature and user flow
- Map data, auth, and model/API boundaries
- Build frontend and backend integration
- Add persistence and admin controls where needed
- Test edge cases and operational behavior
- Document deployment and maintenance notes
Scope
Includes one AI feature, frontend UX, API routes, backend service logic, database changes, model/provider integration, loading/error states, admin controls when needed, and deployment notes. It does not include a complex multi-agent system or custom model training unless scoped separately.
Details
What to expect from this engagement
What is included?
I add AI features to existing products or new MVPs. This is the product layer around AI: user flows, API routes, backend services, database models, model integration, async jobs, admin controls, and deployment notes.
Who is it for?
SaaS teams, founders, and product teams adding useful AI features to existing products or MVPs.
What do you need to provide?
Requires repository access or project context, product requirements, current stack, auth/data boundaries, and API/model credentials. Does not include redesigning the whole product or rebuilding unrelated systems.