OpenAI Dev Day Reactions and What It Takes to Get Agents in Production

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AI, Actually

AnswerRocket

7 episodes

19 hours ago

Tired of the AI hype? So are we. Welcome to AI, Actually: the podcast that cuts through the noise and gets real about how artificial intelligence can work for your business. In each episode, our resident AI and business transformation experts–along with occasional industry guests–hold a candid, jargon-free conversation on what it takes to get actual value from AI. Join us as we tackle topics like: the real difference between the latest LLM models, why generic AI can't make sense of your messy company data, how to get your GenAI use case off the ground, and what the rise of AI agents means for your business. This is your practical playbook for putting AI to work. No PhD required. AI, Actually is produced by AnswerRocket. Since 2013, our enterprise AI solutions have helped Fortune 500 companies achieve measurable results through their AI transformations. This podcast is where we share what we’ve learned.

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OpenAI Dev Day Reactions and What It Takes to Get Agents in Production

AI, Actually

33 minutes 19 seconds

2 weeks ago

OpenAI Dev Day Reactions and What It Takes to Get Agents in Production

OpenAI's Dev Day dropped some major announcements this month, but is AgentKit really revolutionary or just another "me too!" moment? The AI, Actually crew shares their reactions to the latest OpenAI releases, and digs into how to successfully implement AI agents in the real world.

In this episode, Jim Johnson steps in as host alongside Mike Finley, with special guests Nicole Kosky (who leads AnswerRocket's AI Business Transformation Practice) and Reilly Carrolll (Senior AI Solutions Consultant). Together, they tackle the practical, nitty-gritty challenges of bringing agents to life for enterprise clients—from gathering requirements that users don't know they have, to managing the surprising differences between what stakeholders say they need versus what they actually ask once they're hands-on with an agent.

Topics covered:

OpenAI's Dev Day announcements and what they actually mean for enterprises
Why successful agent implementations should follow the Software Development Lifecycle (SDLC)
The critical role of context in agent performance
Why user questions change dramatically from requirements phase to hands-on testing
The emerging discipline of "agentic operations" and why it's non-negotiable
Starting small: the power of quick wins over trying to boil the ocean

Follow the Gang:

Jim Johnson, AnswerRocket, Managing Partner - https://www.linkedin.com/in/jim-johnson-bb82451/
Mike Finley, AnswerRocket, CTO - https://www.linkedin.com/in/mikefinley/

Reilly Carroll, AnswerRocket, Senior AI Solutions Consultant - https://www.linkedin.com/in/reilly-carroll/

Nicole Kosky, AnswerRocket, Senior Director of Services - https://www.linkedin.com/in/nicole-kosky-5b9a3b6/

Chapters:

00:00 Introduction and Guest Introductions

01:30 OpenAI Dev Day Announcements

05:25 Understanding AI Agents

09:05 Practical Implementation of AI Agents

11:11 Challenges in Client Engagement

14:17 Agent Development and User Experience

16:55 The Challenge of Capturing Agent Requirements

19:52 The Importance of Agentic Operations

22:40 Navigating the Future of AI Agents

29:09 Final Thoughts and Advice

Keywords: AI agents, OpenAI Dev Day, agent development, enterprise AI implementation, agentic operations, software development lifecycle, AI business transformation, agent context, LLM applications, practical AI strategy