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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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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Tina Kung, Co-Founder and CTO of Nue (nue.io), to discuss why preventing AI hallucinations becomes critical when AI moves beyond insights and starts executing real financial transactions.

Tina explains how transactional intelligence is changing how companies manage revenue, why data accuracy is essential for AI systems operating in finance, and how AI agents can move from summarization to actually taking action — generating quotes, creating invoices, and executing complex revenue workflows automatically.

They also dive into evolving AI-native revenue models, how modern AI companies structure pricing, how engineering teams are already transforming their workflows with AI agents, and what the future of AI-driven operations looks like across sales, finance, and product teams.

If you're interested in AI agents that don’t just analyze data but actually act on it — this episode is worth watching.

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⏰ TIMESTAMPS:

00:00 — Preventing AI hallucinations in financial transactions
00:54 — Introducing Tina Kung and Nue (nue.io)
03:02 — Transactional intelligence vs traditional AI insights
07:03 — AI that takes action: quotes, invoices, and automation
09:13 — AI companies and hybrid revenue models
16:27 — New pricing models emerging in the AI era
23:02 — Building practical AI without hallucinations
29:13 — How AI is changing engineering teams
33:03 — Hiring shifts in the AI-first world
36:47 — Tina’s personal AI productivity stack

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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Jotform Founder & CEO Aytekin Tank to discuss the newly emerging ChatGPT App Store and why it could become one of the biggest shifts in software distribution.

Aytekin explains how MCP (Model Context Protocol), originally introduced by Anthropic, helped shape the idea of connected AI apps — and how OpenAI’s ChatGPT App Store is bringing that vision to life. Instead of switching between dozens of SaaS tools, users can now interact with apps directly inside ChatGPT using natural language.

They also explore real-world examples including Jotform, Canva, Adobe Photoshop, Apple Music, and TripAdvisor integrations — showing how AI agents can connect tools, automate workflows, and reduce the need for traditional interfaces.

The conversation also covers why chat interfaces may replace traditional SaaS dashboards, how AI memory improves personalization, and why companies that build AI integrations now could benefit from massive distribution.

In this episode, we're seeing how AI agents and app stores are converging — and why the next generation of software may live entirely inside AI.

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⏰ TIMESTAMPS:

00:00 – MCP, Anthropic, and the rise of AI app ecosystems
01:07 – Introduction to the ChatGPT App Store
03:22 – Why AI apps feel like the early Apple App Store
05:28 – Jotform inside ChatGPT: building forms with AI
10:36 – Moving from traditional UI to chat interfaces
16:46 – Why AI apps are more powerful with context & memory
24:15 – Canva, Photoshop, and AI creative workflows
29:30 – TripAdvisor and AI travel planning apps
32:45 – Why ChatGPT apps are still early but growing fast
35:21 – The future of SaaS: apps inside AI agents

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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Katie Fortunato, Co-Founder and EVP of Innovation & Platform Strategy at Hire Innovations AI, to discuss how AI is reshaping hiring, innovation, and the future of work.

Katie explains how her team built an AI innovation incubator to safely test new ideas without risking their core enterprise business. She also shares how AI is enabling faster product launches, leaner teams, and entirely new business models — including solopreneurs and fractional work.

The conversation dives into hiring trends, AI-driven product development, vibe coding, tech stack consolidation, and why companies that embrace experimentation will move faster than those waiting on the sidelines.

They also discuss how AI is changing talent acquisition, why healthcare and AI engineering roles are growing, and how founders can build faster using modern AI tools.

If you're interested in AI innovation, hiring trends, solopreneurs, and building products faster with AI, this episode is worth watching.

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⏰ TIMESTAMPS:

00:00 – Building an AI innovation incubator safely
01:09 – Katie Fortunato intro & Hire Innovations overview
03:08 – A day in innovation and product strategy
05:43 – Why legacy companies need AI sandboxes
07:10 – Three ways companies innovate with AI
09:35 – Launching Job Stream using vibe coding
11:22 – Non-technical founders building with AI
13:38 – Claude, Lovable, and rapid product development
16:11 – AI is consolidating the tech stack
18:30 – Finding product-market fit with AI
20:13 – Understanding hiring cycles and timing launches
23:00 – Automate yourself before AI automates you
24:39 – Healthcare, AI engineers, and job growth
27:03 – Solopreneurs and lean AI-powered teams
29:08 – Fractional work and gig economy growth
31:12 – Designing your dream life, not just your job
33:54 – Advice for founders using AI to free time

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