A working prototype in four weeks, not a slide deck
Prove the build before you fund the build. Four weeks, fixed scope, a real prototype you can put in front of a user.
4 weeks
fixed timeline, start to handover
1 prototype
working, not a clickable mockup
0 surprises
fixed scope, fixed fee, quoted up front
Most projects fail in the gap between "here is the idea" and "here is the spec." The workflow is in your head, the edge cases are in three people's heads, and a staffing shop quotes you for a build nobody has actually seen yet.
The AI Prototype Sprint closes that gap in four weeks. We build the real thing at small scale: the workflow, the AI where it earns its place, and enough of the data shape to know what the production build costs.
What you get at the end
- A working prototype, not a Figma file. Real screens, real flow, real AI on real example data.
- A scoped delivery plan: what the production build is, in phases, with the order we would ship it.
- An integration map: the systems it touches and where the hard parts are.
- A follow-up build estimate you can take to a budget conversation.
How four weeks actually runs
- Week 1: we play the workflow back to you until we agree on what it really is.
- Week 2: the spine gets built, the screens and the data shape.
- Week 3: AI goes in where it pays back, with guardrails and a few good examples.
- Week 4: we harden the demo, write the plan, and hand it over.
Why a prototype beats a proposal
A proposal is a guess with formatting. A prototype is the cheapest way to find the thing nobody mentioned in the kickoff: the approval step, the weird export, the one client who does it backwards. We would rather find it in week two than in month four.
When not to hire us
Skip the sprint if your requirements are already nailed down and stable. If you can hand us a spec that will not move, we should just build it. The sprint is for when the workflow is real but still a little blurry.