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Product 7 min read

How to Build an AI MVP Safely and Efficiently

A 6–10 week recipe for going from idea to a deployable AI MVP — without the usual sprawl, scope creep, and demo-only deliverables.

By Saad Alam

Product

How to Build an AI MVP Safely and Efficiently

Week 1 is discovery: stakeholders, success metric, data audit, risk map. Skip this and you'll rebuild in week 6.

Weeks 2-4 are vertical slices: end-to-end working features (UI + backend + model + deploy), one at a time. Avoid building the entire backend before any model integration.

Weeks 5-6 are productionisation: Docker, CI/CD, monitoring, secrets, runbook. This is the work that converts a demo into a product.

Always reserve the last week for handover: docs, runbook, eval suite, a recorded walkthrough. Founder-friendly handover is what makes a vendor worth a second project.

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