The 90-day process
Idea on day 1. Live on day 90.
Four phases, one fixed plan, with AI accelerating every step. Here's exactly what happens between kickoff and launch, and what you walk away with at every stage.
Phase 1 · Days 1–14
Discovery
We dig into the problem, the people who have it and the business behind it. AI research tools help us map the market and synthesize findings in days, not weeks, so workshop time goes to decisions.
- Kickoff and product strategy workshops
- Target user and core job-to-be-done defined
- AI-assisted competitive and market research
- Riskiest assumptions identified and ranked
- Success metrics for launch agreed
Where AI helpsAI-assisted market and competitor research, interview synthesis and opportunity mapping.
You walk away withA shared, written definition of the problem, the user and what a win looks like.
Phase 2 · Days 15–28
MVP specification
This is where most MVPs succeed or fail. We turn the big idea into a tight, buildable scope, and AI-assisted prototyping lets you click through real screens before a line of production code is written.
- Prioritized feature list with a clear in/out line
- User stories and acceptance criteria
- AI-assisted wireframes and clickable prototypes
- Technical architecture and hosting plan
- A task plan structured for AI agents to execute
Where AI helpsAI-drafted user stories and acceptance criteria, rapid clickable prototypes and architecture exploration.
You walk away withA signed-off MVP spec you could hand to any team, and a build plan we're committed to.
Phase 3 · Days 29–77
Design & build
A senior engineer directs a team of AI coding agents that write most of the code, in parallel, following the architecture and conventions the engineer sets. Every change is reviewed by a human before it ships, and you see working software every week.
- UI design and a lightweight design system
- Features implemented by AI agents, directed by a senior engineer
- Accounts, data model, APIs and integrations
- Every change reviewed by a human before merge
- Weekly demos on a live staging environment
Where AI helpsAI coding agents implement features in parallel; the engineer directs architecture and reviews every change.
You walk away withA working, feature-complete MVP running on staging.
Phase 4 · Days 78–90
Test & launch
We harden it, test it and ship it. AI-generated test suites and automated code review back up hands-on QA, then your MVP goes live on a modern cloud platform like Railway or Vercel.
- AI-generated automated test suite, plus hands-on QA
- Performance, security and accessibility pass
- Production deployment to Railway, Vercel or similar
- Analytics so you can learn from real users
- Code and server handoff, plus a post-launch list
Where AI helpsAI-generated automated tests, AI-assisted security and code review, and automated deployment pipelines.
You walk away withA live product in front of real users, and a plan for what comes next.
AI-accelerated development
One senior engineer. A team of AI agents.
Your MVP is designed, coded and tested largely by AI agents, under the direction of an experienced software engineer. That engineer sets the architecture, breaks the work into tasks, reviews every change and owns the quality. The agents do the heavy lifting, around the clock.
It's how a couple of focused days a week from one senior engineer produces what used to take a full team.
AI agents typically multiply an engineer's output 10x, and up to 100x on the right tasks.
Prototypes in days
AI-assisted research, wireframes and clickable prototypes let you react to real screens early, not just documents.
Agents write the code
Coding agents implement features in parallel, following the architecture and conventions our engineer defines.
Tests from day one
AI generates and runs automated test suites as features are built, so quality grows with the product.
A human signs off
A senior engineer reviews every change before it ships. AI does the typing. Experience does the judging.
The result: the architecture, design and development work that has traditionally cost $100,000 or more, delivered in 90 days for $25,000.
Why it costs less
The same work, reimagined with AI.
Our engineer dedicates a couple of focused days every week to your product and multiplies that time with AI agents for design, development and testing. That's how a single senior engineer delivers what used to take a full team.
A traditional build
$100K+
- Team
- Architect, designer, several developers and QA
- Timeline
- Often 6 months or more
- Testing
- Written by hand, often squeezed at the end
- Pricing
- Hourly, with change orders
The 90 Day MVP
$25,000
- Team
- A senior software engineer directing a team of AI agents
- Timeline
- 90 days, concept to launch
- Testing
- AI-generated automated tests from day one, plus human review
- Pricing
- Fixed. $6,250 to start, then 3 monthly payments
Traditional figures reflect typical agency costs for the architecture, design, development and testing an MVP of this scope requires.
How we keep the date
The rules that make 90 days work.
The date is fixed. Scope flexes.
When something new comes up, it gets weighed against the launch line. Swap it in, or add it to the post-launch roadmap. Day 90 doesn't move.
Working software, every week.
Weekly demos on a live staging site. You see real progress and give feedback while it's still cheap to change course.
AI speed, human judgment.
AI agents write and test the code. An experienced engineer directs the work and reviews every change. You get speed without giving up quality.
Day 1 starts when you're ready
Start now. Be live by January.
Tell us what you're building. We'll come back with an honest answer on fit, scope and next steps, usually within one business day.