AI Agents Podcast

Afleveringen

1. Aydin Mirzaee Fellow.app - AI Agents That 10x Your Productivity | EP 141

   12 juni 2026 · 43 min

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   In this episode of the AI Agents Podcast, host Demetri Panici sits down with Aidan Mirza, founder and CEO of Fellow, to explore how AI is transforming meetings into actionable organizational intelligence. Aidan shares the story behind Fellow’s evolution from a meeting management platform into an AI-powered workplace assistant that helps teams prepare better, capture context, automate workflows, and execute on decisions faster.

   They also dive into proactive AI, MCP integrations, meeting automation, AI-powered productivity, and the future of organizations where conversations become reusable knowledge. If you want to understand how AI is changing meetings, collaboration, and workplace efficiency, this episode is worth watching.

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   ⏰ TIMESTAMPS:

   00:00 – The rise of proactive AI assistants
   02:03 – Aidan’s journey from SurveyMonkey to Fellow
   03:21 – How AI reinvented the meetings industry
   05:23 – Meeting bots, privacy, and workplace trust
   11:09 – AI-powered meeting prep and real-time assistance
   14:06 – Building an AI chief of staff for every employee
   18:02 – The 10-star framework for designing AI products
   22:27 – Integrations, MCP, and connected AI workflows
   30:33 – Automating work from meetings to execution
   40:56 – Why context is the most valuable asset in AI

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   Learn more about Fellow ➡️ https://fellow.app/

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2. ChatGPT Workspace Agents: Automating Workflows with AI Integrations and Memory | EP 140

   15 mei 2026 · 37 min

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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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   Sign up to learn more ➡️ https://www.jotform.com/

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3. Inside AI Healthcare: Addiction Recovery, Workflow Automation, and the Future of Patient Care | EP 139

   7 mei 2026 · 36 min

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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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   Sign up for free ➡️ https://link.jotform.com/eCGiU1nteQ

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4. Inside Classify: Contextual Intelligence, AI Agents, and the Hidden Layer Powering the Web | EP 138

   2 mei 2026 · 54 min

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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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   Sign up to learn more ➡️ https://www.tri-classify.com/

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5. Why AI Hype Is Always Wrong (And What Actually Happens) | EP 137

   29 april 2026 · 53 min

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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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6. AI Agents for Workflow Automation | EP 136

   24 april 2026 · 38 min

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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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7. Tina Kung - Nue.io AI Agents That 10x Your Productivity | EP 135

   22 april 2026 · 46 min

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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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8. ChatGPT App Store Is the Next AI Platform | EP 134

   16 april 2026 · 38 min

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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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9. AI Recruiting & Hiring's Future with Katie Fortunato, Jobstream | EP 133

   14 april 2026 · 44 min

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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…

10. Inside Jotform AI: MCP, Voice Control, and the Future of Building Forms | EP 132

    6 april 2026 · 38 min

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    In this episode of the AI Agents Podcast, host Demetri Panici sits down with Jotform founder Aytekin Tank to break down Jotform AI, the company’s new in product AI assistant built to help users create forms faster, easier, and with far less friction. Aytekin explains how Jotform AI can answer questions, take actions inside the product, and proactively suggest better next steps while users build.

    They also get into how MCP powers the system behind the scenes, why Jotform AI uses multiple specialized agents instead of one general agent, and how voice interaction changes the onboarding experience for non technical users. If you want a practical look at how AI agents are being embedded directly into SaaS products, this episode is worth watching.

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    ⏰ TIMESTAMPS:
    00:00 – Jotform AI uses multiple agents behind the scenes
    01:00 – What Jotform AI is and how it works inside the product
    02:21 – How Jotform AI improves onboarding and boosts success rates
    05:03 – Live voice demo: building a pizza party signup form
    08:32 – How Jotform AI is built on Jotform Agents
    14:20 – Why users succeed faster with AI guided form building
    24:13 – MCP, specialized agents, and how Jotform AI works technically
    28:02 – Will users work inside products or through external AI agents?
    33:13 – What’s next for Jotform AI and proactive suggestions
    37:26 – Final thoughts on how AI changes product learning curves

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