Rapid Scoping
We identify the one "magic" feature your prototype needs to prove your idea works.
AI Prototyping
AI Prototyping
Validate your idea in days, not months. We help founders scope and build high-fidelity AI-assisted prototypes to test assumptions quickly.
Validate the risky AI workflow first
The work is scoped around the few decisions that matter most for a first release: the core workflow, the technical shape, and the path to launch.
Interactive Proof
More than a mock-up. A functional prototype you can put in the hands of real users or investors.
De-Risking Your Build
Find the technical hurdles early before you commit to a full development team.
The real value is ruling out the wrong direction early
The existing testimonial makes the core point: AI prototype work is valuable because it validates the idea before larger spending happens, not because the prototype looks impressive on its own.
Use the planning template to compress the problem first
The planning template and prototype service belong together. First define the risky question, workflow, and boundary, then build the smallest version that can test it credibly.
Prototype work should clarify the next decision
Shawn Studio treats AI prototypes as decision tools. The real output is not just a demo, but a clearer answer about whether to stop, refine, move into MVP scope, or build a production product.
Proof and fit
Good fit when you need
- An AI idea that needs proof before a full build.
- A workflow where quality, latency, cost, or trust are still uncertain.
- A demo that must be functional enough for real feedback.
- A clearer decision about whether to stop, refine, or build the MVP.
Why this approach works
Shawn Studio keeps strategy, UX, and implementation close together. That reduces handoff loss and helps founders move from idea to real product faster.
If the key question is whether the AI workflow is worth pursuing at all, go straight to the AI prototype brief. If the question is no longer “is this worth doing?” but “how should version one ship?”, that is usually closer to startup MVP development.
Use the Planning Template
Compare prototype vs production
If the direction is set, compare startup MVP development
Send the AI prototype brief
The prototype helped us test the AI workflow before committing to a larger build. That saved us real time.
How the work moves
1
Scope
Clarify the goal, audience, constraints, and the first version worth building.
2
Shape
Turn the scope into a concrete structure with clear screens, flows, and technical decisions.
3
Build
Build the useful core, review progress directly, and keep the project moving without agency overhead.
4
Launch
Prepare the release, fix launch issues, and define the next iteration from real feedback.
Most focused projects move from scope to first release in weeks, not months.
FAQs
What is the goal of an AI prototype?
To prove technical feasibility and user interest with the lowest possible investment.
How fast can we build one?
Typical prototypes take between 10 and 15 days from start to finish.
How much does a prototype cost?
Our prototyping sessions typically start at $3,000 for a functional MVP proof-of-concept.
What happens after the prototype?
You will have the data and a roadmap to decide whether to move into full production.
Validate your idea
Tell us the "magic" feature you want to prove. We will tell you if we can build a prototype for it in under 2 weeks.