What I Learned While Building a Generative AI PoC for Business Use
Over the past few months, I’ve been exploring how founders can validate generative AI ideas without jumping into a full-scale build.
One thing I’ve noticed: most AI projects fail at the PoC stage — not because the tech doesn’t work, but because the business goal isn’t clearly defined.
Here’s the simple framework that made the biggest difference for us:
-
Start with a measurable business outcome (not “let’s use AI”).
-
Narrow the use case aggressively.
-
Use existing APIs before building custom models.
-
Validate outputs with real users early.
-
Define success criteria before writing code.
This approach saved time and prevented over-engineering.
I wrote a deeper breakdown of the framework here for anyone interested:
https://www.excellentwebworld.com/generative-ai-poc/
Curious — how are you validating AI ideas before committing serious budget?
