Rapid prototype studio
Prototypes center on a testable customer task and realistic content.
- For
- Founders validating specialist software concepts
- Solves
- Product ideas remain abstract before customer testing.
- Delivers
- Interactive prototype and testing notes
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $11,000 for the MVP, $45,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For founders validating specialist software concepts, turn approved product brief and target user tasks into interactive prototype and testing notes.
- Map core journeys.
- Generate screen alternatives.
- Assemble clickable flows.
- Add realistic sample data.
- Capture tester feedback.
- Export design handoffs.
What goes in, what comes out
- Approved product brief
- Target user tasks
AI drafts, people review. Visual production platform with managed creative review.
- Interactive prototype
- Testing notes
How it works
The workflow
- InStart with
Approved product brief and target user tasks
- 1
Create a brief
- 2
Upload reference material
- 3
Choose constraints
- 4
Review a small set of directions
- 5
Refine the selected direction
- 6
Request client approval
- 7
Export a versioned delivery pack
- OutFinish with
Interactive prototype and testing notes
AI does the heavy lifting, people stay in charge
Use language models to interpret briefs and visual models where appropriate to generate or adapt assets. Keep factual attributes in structured fields. Validate dimensions and export formats through deterministic checks. A creative reviewer confirms visual quality and fidelity before delivery.
What your team sees
Key screens: Flow map, interactive canvas, feedback board. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. In this product, the first view is flow map, followed by interactive canvas and feedback board.
Accounts and administration
Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material.
Integrations and data access
Product feedback, authorized interviews, usage exports and requirement records. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. These are candidate integration categories, not verified supported connectors.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
6 daysOne buyer segment, one recurring use case; first modules: map core journeys; generate screen alternatives. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksRemaining modules: add realistic sample data; capture tester feedback; export design handoffs. Self-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will founders validating specialist software concepts use it to solve "product ideas remain abstract before customer testing"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Deliver one real creative brief with a capped asset count and revision allowance.
- Measure, then decide. Track task completion in tests and validated assumptions. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Begin with founders validating specialist software concepts and one recurring use case. Build the first two modules: map core journeys; generate screen alternatives. Provide operator assistance for the third module: assemble clickable flows. Deliver interactive prototype and testing notes through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
After the MVP. After paid pilots establish value, automate the remaining modules: add realistic sample data; capture tester feedback; export design handoffs. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.
What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist creative QA.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: map core journeys; generate screen alternatives. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Remaining modules: add realistic sample data; capture tester feedback; export design handoffs. Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$45,000about 5 weeks of creation time · start with the MVP from $11,000
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $40–$80 | $150–$310 | $190–$390 |
| Full productabout 50 customers | $160–$320 | $2,100–$4,200 | $2,260–$4,520 |
Run it or resell it
For your own team
Founders validating specialist software concepts run it inside the business: approved product brief and target user tasks in, interactive prototype and testing notes out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#7a2791 - accent
#54c95a - surface
#eee4f1 - ink
#22201e
- Headings
- Archivo
- Text
- Lora
- Voice
- Curious, rigorous, user-led
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test a USD 300-1,500 fixed pilot for one defined asset package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist design separately. These are test prices, not market benchmarks.
Message to test
Rapid prototype studio for founders validating specialist software concepts. Prototypes center on a testable customer task and realistic content. Demonstrate the claim through a clickable prototype of one critical workflow.
Where to find buyers
Startup incubators and product consultants
Lead magnet
A clickable prototype of one critical workflow
The first 30 days
- Week 1: interview five prospective buyers in this segment: founders validating specialist software concepts. Ask to see a recent example of the problem and their current process.
- Week 2: prepare this demonstration using authorized or synthetic material: a clickable prototype of one critical workflow.
- Week 3: present it through startup incubators and product consultants and seek one narrowly scoped paid pilot.
- Week 4: review task completion in tests, validated assumptions, total delivery effort and a concrete renewal decision before increasing scope.
Paid pilot
Deliver one real creative brief with a capped asset count and revision allowance. Compare usable deliverables, reviewer time and client acceptance with the existing production method. For this solution, use approved product brief and target user tasks and evaluate interactive prototype and testing notes. Agree success thresholds with the buyer before starting; collect a baseline for task completion in tests, validated assumptions. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.
Success metrics
Task completion in tests, validated assumptions
Retention and expansion
Save approved styles and constraints, offer repeat production batches, and expand only into adjacent asset formats the same buyer already commissions.
Why clients would pick it
A reusable library of approved styles, production constraints and review examples, together with reliable delivery for a narrow creative niche. For this solution, build around prototypes center on a testable customer task and realistic content. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.
Alternatives and positioning
Freelancers, creative agencies, generic generation tools and existing design applications. Differentiate on this specific proposed advantage: prototypes center on a testable customer task and realistic content. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.
Main delivery costs
Generation attempts, video or image processing, storage, reviewer hours, client revision rounds and licensed source assets.
Safeguards
Use consented research and preserve contradictory evidence. Separate observed user behavior, proposed explanations and untested product assumptions. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.