PrototypeR

For solo founders and early builders

Turn your idea intoa stronger business direction

Use simulated market validation and automated improvement loops to pressure-test your idea before you build.

50 free credits for new signups

Log in when you are ready to start the full workflow.

What you get before you build

Narrow the strongest direction

Compare multiple hypotheses and keep the business direction with the clearest signal.

See what to improve next

Find the main blockers lowering buyer intent and focus on the next fix that matters.

Move straight into design

Carry the validated direction directly into prototype-ready product design.

The flow is simple

You can review the detailed workflow below.

01

Input the idea

Start with the problem, audience, and value you want to validate.

02

Run market validation

Use AI-generated customer reactions to check whether the idea has traction.

03

Improve and move into design

Strengthen the idea with the feedback loop and turn it into a handoff-ready plan.

8-step workflow

Open the full 8-step flow before you start.

Details

8-step workflow

Open the full 8-step flow before you start.

01

Idea Input

Describe the problem, audience, and value proposition you want to test.

02

Interview Design

Generate the questions and decision criteria for customer discovery.

03

Persona Build

Create simulated customer segments for the validation panel.

04

Market Selection

Compare candidate directions and narrow the strongest business angle.

05

Strategy Canvas

Clarify positioning, pricing, and the go-to-market structure.

06

Product Blueprint

Turn the strategy into features, UX flows, and system requirements.

07

Validation Loop

Run automated market validation with 3 initial loops and 2 bonus loops when available.

08

Prototype Package

Generate the implementation-ready handoff materials for the next build step.

How PrototypeR differs from general AI tools

For people who want the decision criteria before they start.

Details

How PrototypeR differs from general AI tools

For people who want the decision criteria before they start.

Evaluation method

Generative AI

Depends on response quality in chat

PrototypeR

Uses quantitative signals from a simulated market

Improvement process

Generative AI

Manual re-prompting

PrototypeR

Built around automated improvement loops

Implementation handoff

Generative AI

Needs manual restructuring

PrototypeR

Moves from validation into design deliverables

Team sharing

Generative AI

Chat-log centric

PrototypeR

Structured outputs that are easier to share

Pricing model

Credits are prepaid. Execution stops when the balance is insufficient.

Details

Pricing model

Pay only for the runs you execute.

  • Credits are prepaid. Execution stops when the balance is insufficient.
  • Planning, validation, and prototype generation consume credits only when you run them.

Light Mode

Faster and cheaper for idea shaping and quick iteration.

Planning (Step1-6)

3 credits

Charged on the initial generation only.

Validation (Step7 session)

8 credits

Charged only when buyer intent reaches 60%. Includes automated improvement cycles.

Prototype generation (Step8)

3 credits

Charged per generation.

Think Mode

Higher precision for deeper validation and richer prototype outputs.

Planning (Step1-6)

15 credits

Charged on the initial generation only.

Validation (Step7 session)

40 credits

Charged only when buyer intent reaches 60%. Includes automated improvement cycles.

Prototype generation (Step8)

9 credits

Charged per generation.

1 credit is approximately JPY 10 in prepaid value.

Common questions

Review the common questions before you start.

Details

Common questions

How does pricing work?

PrototypeR uses prepaid credits. Planning, validation, and generation each consume credits only when you execute them, and execution stops when the balance is insufficient.

Can I try it before signing up?

Sign up to start the full workflow immediately. You can begin with a narrow scope and expand only where you need more evidence.

Who owns the generated outputs?

The generated deliverables belong to the user.

Are the AI suggestions and scores guaranteed to be correct?

No. They are decision support based on simulated personas, so they should be treated as reference signals rather than guarantees.

Can other users see my content?

No. Other people can view it only if you explicitly share a read-only link.

Can I export the outputs?

Yes. Requirements, validation outputs, and other artifacts can be shared or exported from the product surfaces.

Start with the workflow now

Log in and move directly into the full validation and prototyping flow.