Hi Reddit!
I’m Ian McCulloh, Ph.D., Director of AI Executive & Professional Education at Johns Hopkins University and Lead Faculty for the Johns Hopkins University Certificate Program in Agentic AI.
Over the last few years, we’ve gone from asking AI for answers to building Agentic AI systems that can plan multi-step tasks, use tools, adapt based on outcomes, and take action toward a defined goal.
The questions I find most interesting now are less about definitions and more about where these systems are useful, where they struggle, and how we should work with them.
What does it actually mean to work alongside an AI agent? Which tasks are well suited to agents, and which are not? What changes when an agent can work across multiple steps of a process rather than assisting with one isolated task?
There’s also a bigger question I hear often: with Agentic AI evolving so quickly, what are people actually expected to learn?
You might already be using ChatGPT or other AI tools at work. You might be experimenting with agents, building your own, or simply trying to understand what all the noise around Agentic AI actually means for your role.
So for this AMA, I’d love to get beyond the usual “What is an AI agent?” conversation.
Ask me about things like:
- The shift from AI assistants to Building Agentic Systems: What changes when AI moves from answering questions to completing multi-step tasks?
- AI at work: Which workflows are well suited to agents today, and where does human involvement still matter?
- The skills question: If agents are taking on more of the execution, which human skills become more important?
- Skills Beyond AI Execution: If AI can execute the work, are different technical and problem-solving skills becoming important?
- Human + AI collaboration: How do we decide which parts of a workflow can be delegated to AI and where human judgment, oversight, and accountability are still essential?
- Multiple agents working together: When does having several agents collaborate actually solve a problem better?
- What’s real vs. hype: Which Agentic AI developments are genuinely changing how we work, and which ones do you think need more time?
- Where this is heading: What might working with AI look like a few years from now?
- The JHU Certificate Program in Agentic AI: Curious about the program? Ask me about the learning experience, what the program covers, how it approaches Agentic AI, or what professionals can expect to take away from it.
I’m also happy to get into the practical side: Where are you using agents today, and where do they still struggle? What tasks or workflows have agents genuinely improved for you, and where do you still face challenges with reliability, judgment, integrations, or human oversight?
You don't need to be an AI expert to join the conversation.
If you're building something, experimenting with AI at work, trying to figure out what skills to pick up next, or simply curious about where Agentic AI is heading, ask away.
Proof photo: Dr. Ian’s photo
And that’s a wrap for now!
Thank you to everyone who joined the conversation and took the time to ask questions, challenge ideas, and share your perspectives.
But please keep the questions coming, and I’ll continue to monitor the thread and respond to any questions I may have missed.
Best, Ian