AI Product Prototype
A lean product concept for testing an AI workflow, user interface, saved history, and launch feedback loop before a larger build.
What a first AI product version includes
- Core workflow - the user input, AI reasoning step, tool action, and final output
- Clean interface - a focused screen for running and reviewing the AI workflow
- Saved history - previous runs, notes, decisions, or generated outputs for review
- Feedback loop - a way to mark responses as useful, incorrect, or ready for improvement
Move from idea to usable test version
The prototype is designed to answer one question: is this AI workflow useful enough to turn into a real product?
- Week 1: map the workflow, define the user, and choose the first AI behavior
- Week 2: build the interface, prompt flow, data model, and basic persistence
- Week 3: test with real examples, improve outputs, and prepare launch notes
Why it matters
Validate before building too much
A prototype helps prove the workflow, interface, and AI output before investing in a larger application.
It also creates a concrete demo that customers, partners, or internal teams can react to quickly.
Prototype options
- AI assistant with saved conversations
- Workflow automation dashboard
- Document summary or analysis product
- Internal tool with admin review
Have an AI product idea?
Share the workflow you want to test and PAT Orbit can shape it into a prototype plan.
Plan A Prototype