Title:
Prototype to Production: Turning AI Ideas into Real-World Impact

Description:

In this episode of AI ThoughtMakers, Manav Goel breaks down one of the biggest gaps in today’s AI landscape: why most prototypes never make it to production.

Building AI demos has become easier than ever. But transforming those demos into reliable, scalable, and cost-effective systems is where the real challenge begins. What works perfectly in a controlled setup often struggles in the real world — from handling scale and token costs to maintaining data quality, observability, and trust.

This episode explores the mindset shift teams need to make: moving from impressive AI experiments to production-ready systems that create measurable business impact.

Key topics covered in this episode:

•  The hidden complexity behind “plug-and-play” AI 
•  Token consumption and its impact on cost & ROI 
•  Why prototypes fail at production scale 
•  Security, compliance, and reliability challenges 
•  Task decomposition and spec-driven AI development 
•  The importance of observability, monitoring, and evaluation 
•  Why human-in-the-loop systems still matter 
•  Building AI systems that users can actually trust 

If you’re building AI products or planning to scale AI inside your organization, this conversation will make you rethink one critical question:

Are you building fast, or are you building something that actually works in the real world?

Connect with Manav:
LinkedIn – Manav Goel

Connect with Prem:
LinkedIn – Prem Goswami