Ten days sounds like a sprint review cadence, not a product timeline. But for the right kind of product — and with the right approach — a working, deployable MVP in 10 business days is not a stretch goal. It’s a repeatable process.
Here’s how 3Bird AI Lab does it, and what makes the difference between a 10-day MVP that impresses investors and one that falls apart in staging.
Day 1: Scope Workshop (Non-Negotiable)
The single biggest predictor of a fast MVP is a ruthless scope definition on day one. Not a PRD. Not a backlog. A one-page document that answers:
- What is the one problem this MVP solves?
- Who uses it, and what is the primary user journey?
- What are the 3–5 acceptance criteria that make this “done”?
- What is explicitly out of scope?
This session typically takes 3–4 hours with the client’s product owner and the AI-Sitter lead. No ambiguity survives it.
Days 2–4: AI Generation Sprints
With scope locked, AI-Sitters begin parallel generation. A typical web application is broken into modules — authentication, data model, API layer, frontend components, third-party integrations — and generated in parallel across the team.
The output is not production code at this stage. It’s a high-quality draft that is architecturally sound but not yet reviewed or tested.
Days 5–7: Human Review and Refinement
Every module passes through the senior engineer review pipeline:
- Logic correctness and edge case coverage
- Security: injection, auth bypass, data exposure
- GDPR: logging, data retention, consent flows
- Performance: N+1 queries, missing indexes, unnecessary re-renders
- Code style and maintainability
Non-compliant sections are rewritten. This is the step that separates AI Lab output from raw AI output.
Days 8–9: QA and Testing
Automated test coverage is written and run. Manual QA engineers validate the primary user journeys and edge cases against the acceptance criteria from day one.
Bugs are logged, triaged, and fixed. Any issue that would embarrass you in a demo is blocked from going forward.
Day 10: Delivery and Handover
The client receives:
- A deployed, functional MVP in the chosen environment
- Full source code with documentation
- An AI contribution report (which parts were AI-generated, which were human-written or refined)
- A technical handover session
The MVP is ready for user testing, investor demos, or immediate customer use.
What Makes This Work
The 10-day timeline is only achievable when:
- Scope is locked and does not drift
- The client’s product owner is available for daily 30-minute sync calls
- The AI-Sitter team has worked together before (3Bird teams are pre-formed)
- The technology stack is in the team’s core competency (React, .NET, Node.js, Python)
Introduce scope creep, unavailability, or an unfamiliar tech stack, and the timeline extends. That’s not a failure — it’s honest expectation setting from day one.
