EP 45: Why AI Agents Break in Production: The Missing Harness in Your Data Stack
Data Science With Sam by Soumava Dey
Episode notes
An independent evaluation of Snowflake's Cortex Analyst found 6 in 10 AI-generated queries were wrong — but they all compiled and ran without a single error. That's not a model problem. That's a missing harness problem.
Pradnesh Patil is the Co-Founder and CEO of Altimate AI — a platform bringing agentic AI to data engineering with tools trusted by Fortune 500s and downloaded more than 1 million times across 200+ countries. Before Altimate, he spent a decade in product leadership at Palo Alto Networks, Cisco, and VMware.
IN THIS EPISODE:
▪ The five components of an agentic data engineering harness: context, governance, MCP tools, shared skills, and agent infrastructure — and why missing any one of them causes silent failures
▪ Why a system prompt cannot substitute for a harness: a prompt tells ...