Your MVP Doesn't Need AI (Yet)

Every founder we talk to wants AI in their MVP. Most of them don't need it — at least not yet.

The pattern we see

Founder has an idea. Adds "AI-powered" to the pitch deck. Spends 3 months building an AI feature. Launches. Discovers users don't care about the AI — they care about the core workflow being fast and reliable.

What to build first

Your MVP should prove one thing: that people want the core value proposition. Usually that's a workflow, not an AI feature.

• If you're building a hiring tool: nail the candidate tracking workflow first. Add AI screening later.
• If you're building a customer support tool: nail the ticket management first. Add AI responses later.
• If you're building an analytics platform: nail the data visualization first. Add AI insights later.

When to add AI

Add AI when you have:

1. Users. At least 100 active users who've completed the core workflow.
2. Data. Enough real usage data to know what to automate and what to augment.
3. A specific bottleneck. Not "it would be cool if..." but "users spend 40% of their time on this manual task."

The exception

If AI IS the core value proposition (you're building a RAG system, a vision pipeline, or a conversational agent), then yes, you need AI in the MVP. But even then, start with the narrowest possible scope.