Every enterprise is legit rushing to build AI agents.

But there's no instructions.

So, what do you do?
How do you make sure it works?
How do you track reliability and traceability?

We dive in and find out.

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Topics Covered in This Episode:

Google Gemini's Veo 3 Video Creation Tool
Trust & Reliability in AI Agents
Building Reliable AI Agents Guide
Agentic AI for Mission-Critical Tasks
Micro Agentic System Architecture Discussion
Nondeterministic Software Challenges for Enterprises
Galileo's Agent Leaderboard Overview
Multi-Agent Systems: Future Protocols

Timestamps:
00:00 "Building Reliable Agentic AI"

05:23 The Future of Autonomous AI Agents

08:43 Chatbots vs. Agents: Key Differences

10:48 "Galileo Drives Enterprise AI Adoption"

13:24 Utilizing AI in Regulated Industries

18:10 Test-Driven Development for Reliable Agents

22:07 Evolving AI Models and Tools

24:05 "Multi-Agent Systems Revolution"

27:40 Ensuring Reliability in Single Agents

Keywords:
Google Gemini, Agentic AI, reliable AI agents, mission-critical tasks, large language models, AI reliability platform, AI implementation, microservices, micro agents, ChuckGPT, AI observability, enterprise applications, nondeterministic software, multi-agentic systems, AI trust, AI authentication, AI communication, AI production, test-driven development, agent EVALS, Hugging Face space, tool calls, expert protocol, MCP protocol, Google A2A protocol, multi-agent systems, agent reliability, real-time prevention, CICD aspect, mission-critical agents, nondeterministic world, reliable software, Galileo, agent leaderboard, AI planning, AI execution, observability feedback, API calls, tool selection quality.

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

Everyday AI Podcast – An AI and ChatGPT Podcast