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

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Manage episode 488320443 series 3470198
Content provided by Everyday AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Everyday AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:

  1. Google Gemini's Veo 3 Video Creation Tool
  2. Trust & Reliability in AI Agents
  3. Building Reliable AI Agents Guide
  4. Agentic AI for Mission-Critical Tasks
  5. Micro Agentic System Architecture Discussion
  6. Nondeterministic Software Challenges for Enterprises
  7. Galileo's Agent Leaderboard Overview
  8. 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.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Try Google Veo 3 today! Sign up at gemini.google to get started.

Try Google Veo 3 today! Sign up at gemini.google to get started.

  continue reading

546 episodes

Artwork
iconShare
 
Manage episode 488320443 series 3470198
Content provided by Everyday AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Everyday AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Have a question? Join the convo here.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:

  1. Google Gemini's Veo 3 Video Creation Tool
  2. Trust & Reliability in AI Agents
  3. Building Reliable AI Agents Guide
  4. Agentic AI for Mission-Critical Tasks
  5. Micro Agentic System Architecture Discussion
  6. Nondeterministic Software Challenges for Enterprises
  7. Galileo's Agent Leaderboard Overview
  8. 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.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Try Google Veo 3 today! Sign up at gemini.google to get started.

Try Google Veo 3 today! Sign up at gemini.google to get started.

  continue reading

546 episodes

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