AI Agents Podcast

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In this episode of the AI Agents Podcast, Demetri Panici and Jotform CEO Aytekin Tank break down OpenAI’s new ChatGPT Workspace Agents and why they could completely change how people automate work. They explore how cloud-hosted AI agents can now interact with apps like Gmail, Google Drive, Slack, and more — allowing users to build automated workflows without writing code.
The conversation covers the evolution from Custom GPTs to fully autonomous agents with integrations, memory, scheduled execution, and reusable skills. Aytekin also demos real-world examples including uptime monitoring agents, Google Docs monitoring workflows, and automated reporting systems running entirely in the cloud.
They also compare ChatGPT Workspace Agents to Claude’s developer-focused Managed Agents platform, discuss the future of SaaS products in an AI-first world, and explain why integrations, memory, and workflow orchestration are becoming the most valuable layer of modern AI systems.
If you want to understand where AI agents are heading — and how businesses can use them to automate repetitive work today — this episode is worth watching.
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⏰ TIMESTAMPS:
00:00 – Why AI agents are becoming so powerful
00:48 – Introduction to ChatGPT Workspace Agents
03:29 – What makes Workspace Agents different from Custom GPTs
06:09 – Integrations, skills, and memory explained
09:03 – Claude Managed Agents vs ChatGPT Agents
11:30 – Building an uptime monitoring AI agent live
21:58 – Creating a Google Docs monitoring workflow
27:51 – How AI agents are changing productivity and automation
30:03 – The future of SaaS products in an AI agent world
34:08 – Why AI workflows still need SaaS platforms
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In this episode of the AI Agents Podcast, host Demetri Panici sits down with a healthcare AI consultant and operator to explore how AI is transforming patient care, addiction recovery, and provider workflows. They discuss the growing burden on healthcare workers, why AI note-taking tools are becoming essential, and how workflow automation could help reduce burnout across the medical industry.
The conversation also dives into addiction treatment, medication adherence, insurance reimbursement challenges, and the real-world barriers preventing healthcare AI from scaling faster. If you want to understand where AI is actually delivering value in healthcare today—and where the industry still has a long way to go—this episode is worth watching.
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⏰ TIMESTAMPS:
00:00 – AI as a workflow compressor in healthcare
01:04 – Medication adherence and addiction recovery challenges
02:13 – How their platform differs from consumer solutions
04:17 – Designing simple AI tools for patients and providers
05:10 – Long-term vision for healthcare and medication management
07:23 – AI note-taking, provider burnout, and healthcare workflows
11:24 – Risks of hallucinations and AI memory in medical care
13:47 – How AI can improve healthcare efficiency and patient outcomes
16:16 – Insurance, reimbursement, and why healthcare AI adoption is slow
29:16 – Will AI replace jobs or create better work?
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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Brendan Norman, co-founder and CEO of Classify, to explore how contextual intelligence is becoming a foundational layer for AI agents. Brendan breaks down how Classify helps machines understand content at a deeper, more human-like level—and why that matters for everything from advertising to autonomous agents.
They also dive into how AI is reshaping small teams, why agents still struggle with consistency, and what’s really happening behind the scenes as infrastructure evolves. If you want to understand the next layer of AI beyond models—the systems that make them actually useful—this episode is worth watching.
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⏰ TIMESTAMPS:
00:00 – Why understanding AI is constantly evolving
02:28 – Brendan’s background and building Classify
05:05 – Agents vs bots and how AI systems interact
08:12 – The missing layer: contextual intelligence
13:16 – Do AI models actually understand language?
19:19 – AI workflows, Claude, and productivity tools
24:11 – Building faster with AI as a small team
30:18 – Opportunities for startups in the AI era
36:38 – Explaining AI in a rapidly changing market
49:08 – Are we approaching the AI singularity?
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Every major tech shift follows the same pattern: one side says it’ll change the world overnight, the other says it’ll destroy everything. AI is no different—and both sides are usually wrong.
In this episode of the AI Agents Podcast, Rade Kovacevic (CEO of Polar Grid) breaks down what actually happens during massive market cycles, why AI progress feels chaotic, and where real value is being built right now.
We dive into the future of real-time AI, why latency is the hidden bottleneck, and how technologies like voice agents, edge computing, and AI infrastructure will shape the next wave of products.
If you want a grounded, no-hype perspective on AI’s future—this episode is for you.
Timestamps:
00:00 – Why viral AI takes are always extreme
02:00 – Rade’s background & building companies early
05:30 – The real problem with AI today: latency
09:30 – Why AI feels slow (and why it matters)
13:30 – Voice agents & real-time interaction challenges
18:00 – Where AI is going next (voice → video → gaming)
24:30 – AI hype vs reality in every market cycle
29:00 – Will AI replace jobs or just change them?
38:00 – How companies are hiring in the AI era
47:00 – The future of AI agents & human productivity
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Most people are still intimidated by advanced AI tools—but they don’t need to be. In this episode, we break down how AI-powered workflow builders are making automation accessible for everyday users and small businesses.
Demetri Panici and Aytekin Tank explore the current landscape of AI agents and workflow automation, comparing tools like Zapier, n8n, Pipedream, MuleRun, and Jotform’s upcoming AI-powered workflows.
They walk through real demos using the same prompt across platforms—automating weekly employee updates—to show how each tool performs, where they shine, and where they fall short. From no-code simplicity to more advanced agent-based systems, this episode highlights the trade-offs between usability, flexibility, and power.
If you’ve ever wanted to automate repetitive work but didn’t know where to start, this episode gives you a clear, practical look at what’s possible today—and what’s coming next.

⏰ TIMESTAMPS:00:00 – Why people are still scared of AI tools
00:49 – What are AI workflow builders?
05:13 – Jotform AI workflow demo
09:18 – MuleRun & building full tools with AI
14:52 – Pipedream demo (email automation)
18:28 – Zapier AI workflow builder
21:24 – n8n: powerful but intimidating
23:41 – AI agents (Perplexity & Claude demos)
29:00 – Real-world automation examples
33:43 – Where Jotform fits + future of AI workflows
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