General
Minimum Viable AI
The simplest AI solution that delivers enough value to validate a use case. It prioritizes fast learning over comprehensive features, following lean startup principles.
Why It Matters
Starting with minimum viable AI prevents the trap of spending months building a perfect system for a problem that may not need AI at all.
Example
Building a simple keyword-matching chatbot first to validate that customers want automated support, before investing in a full RAG-powered AI agent.
Think of it like...
Like building a prototype car from plywood before committing to manufacturing — test the concept cheaply before investing heavily.