🎙️ Our latest guest on ChaiNet is José Manuel Ramírez R., co-founder of Handit.AI, who’s tackling one of AI’s most persistent challenges - why sophisticated agents work perfectly in demos but fail dramatically in real-world production environments.
We explore:
✅ The reality of AI’s production-to-demo gap
✅ How self-correcting AI systems operate
✅ Building competitive AI technology from Colombia
✅ Navigating resource constraints in the AI space
✅ The future trajectory of self-improving AI
✅ Essential focus areas for developers in today’s job market
For anyone working with AI systems or building tech products, this conversation cuts through the hype to examine what really makes AI work reliably.
Tune in to hear practical insights from the frontlines of AI development.
