00Services / Starter SaaS & AI prototypes
A working product in users' hands on day one.
Put a working product in front of real users on day one, so your next build decision is grounded in real behaviour. The codebase is yours to keep building on.
Fixed scope · Deployed day one · Code you keep
What a starter SaaS or AI prototype is.
It is a working web application deployed on day one. Authentication, data and model integration are built properly, so real users can use it and your next decision comes from behaviour you can measure. The codebase is yours to keep building on.
A working product on day one, so the test is real.
Validating a SaaS or AI concept takes real users doing real things in a product that works.
We ship a working application from day one, with the auth, data and model integration that make the behaviour real. It is instrumented, so what you learn comes from usage you can measure.
What a starter SaaS or AI prototype includes
Production from the first commit, built to keep.
- An MVP web application, deployed on day one
- LLM and AI feature integration done properly
- Authentication, database and the core flows
- Instrumented so you can learn from real usage
- A codebase you can keep building on
- The repository and deployment in your own accounts
How the engagement runs.
01
Scope
A short conversation about what you need. You get a fixed scope before anything starts.
02
Design
The core flows are designed in the browser against the search and product architecture, so the thing users touch is the thing that matters.
03
Build
Production code from the first commit. Auth, data and model integration built to be extended after the test.
04
Hand over
The repository, the analytics and the documentation land in your own accounts, ready to run and grow without us. We can stay on for growth or step back cleanly.
What you can hold us to
The acceptance criteria, stated plainly.
- A working URL on day one.
- AI features integrated properly, with the limits stated plainly.
- Instrumentation in place before launch, so the learning is real.
- The codebase and accounts are yours, ready to build on without us.
Worth reading next
The same questions, answered in more depth.
- Guide: an AI prototype users can test
Scope it to the riskiest assumption and instrument the test.
- How search-led design works
Built so the product can be found as soon as it works.
- Cost, timelines and how we use AI
What a prototype costs, how long it takes, and where the AI judgement is human.
- Who builds it
The people who scope the project write the code. You talk to them.
Get a real test into users' hands.
Tell us what you're validating. You'll have a fixed scope and the fastest route to a real test.
Start a project