MVP cost is mostly a function of scope, team shape, and AI involvement. The honest answer comes from breaking the work down before quoting a number.
Scope is the biggest lever
A focused MVP that proves one workflow costs a fraction of a multi-feature platform. Cut hard before estimating.
- One core loop
- One admin surface
- Auth and payments
- Analytics signal
Stack and team shape
A small senior team on a boring stack ships faster than a junior team on novel infrastructure. The cost difference shows up in weeks, not hours.
- Senior generalists
- Boring stack
- Clear ownership
- Short feedback loops
AI changes the floor, not the ceiling
Adding AI to an MVP raises the lower bound because retrieval, evals, and cost controls have to be in place. The ceiling is set by scope, not AI.
- Retrieval design
- Eval set
- Cost ceilings
- Fallback states
Build checklist
- Write the product loop in one sentence
- Cut features ruthlessly before quoting
- Pick a senior, boring-stack team
- Set a per-user AI cost ceiling if relevant
- Plan for one launch, not three
Need a real estimate?
Trioprod scopes MVPs around the actual product loop and quotes once the scope is firm.