Everyday AI Podcast – An AI and ChatGPT Podcast

EP 545: How to build reliable AI agents for mission-critical tasks

77 snips
Jun 12, 2025
Guest
Yash Sheth
In this engaging discussion, Yash Sheth, Co-founder and COO of Galileo, shares insights on building reliable AI agents for enterprises. He explores challenges around AI agent reliability, especially in regulated industries like finance and healthcare. Yash highlights the importance of understanding user intent for optimizing returns on investment. The conversation dives into robust evaluation frameworks, including an innovative agent leaderboard, and discusses the future of multi-agent systems, stressing the need for trust and dependability in mission-critical tasks.
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ADVICE

Build Reliable AI Agents

  • Enterprises must build reliable AI agents with trust and reliability to gain real ROI from AI.
  • Focus on building, shipping, and scaling agent applications with reliability as a core principle.
INSIGHT

Agents vs Chatbots

  • Agents differ from chatbots by having planning, action, and reflection phases.
  • This makes agents capable of performing multi-step tasks with feedback for correctness.
ANECDOTE

Mission-Critical AI Agent Examples

  • Some enterprises use AI agents to preempt internet outages, manage data platforms, and automate supply chain orders.
  • These are examples of mission-critical agent applications beyond simple chatbot use cases.
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