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