
Everyday AI Podcast – An AI and ChatGPT Podcast
The Everyday AI podcast is a daily livestream, podcast and free newsletter where we help everyday people grow their careers with AI.
The Everyday AI podcast is hosted by Jordan Wilson, a former journalist who's now the owner of a boutique digital strategy company with 20 years of martech experience.
Our main focus is to help you keep up with AI trends to make your job easier. Get your work done faster. Increase your output.
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In the Everyday AI podcast, we'll cover all things artificial intelligence, machine learning, and practical tips on how to use both in your daily life. We'll include a touch on a variety of topics, software and applications. We may be covering the latest AI news from Microsoft, Google, Facebook, Adobe and social channels like Snapchat, Tiktok, and Instagram. Or, we may be diving into software like ChatGPT, Midjourney, Bard, or Runway ML.
Everyday AI Podcast – An AI and ChatGPT Podcast
EP 545: How to build reliable AI agents for mission-critical tasks
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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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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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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