What if the smartest move in AI isn’t chasing the shiniest model, but keeping things simple enough to work in production?

Anwar Jeffrey has lived that lesson. As co-founder and CTO of Glowstick, he built a revenue operations assistant that helps post-sales teams detect expansion opportunities, churn risks, and customer needs hidden in everyday conversations. But instead of leaning on expensive neural nets or large language models, his team focused on what he calls “dumb AI”: intent detection, sentiment, and similarity signals combined in pragmatic ways that delivered real value.

In this conversation, Daniel and Anwar unpack what it takes to bring an AI product from idea to adoption. They talk about why data is always messier than you expect, how to earn trust by meeting users inside the tools they already use, and why simplicity often ...