AI Agents Podcast

Can AI make it practical to create a video for every product feature? Aytekin Tank and Demetri Panici explore motion graphics and training videos made with Claude, with examples from their own workflows.Watch a Jotform workflow video demonstration and calendar and training examples, then follow the discussion of reusable skills, brand consistency, product launches and help videos. The episode closes with a conversation about human creativity and where AI video tools could go next.Chapters00:00 Opening idea00:25 AI Agents Podcast intro00:49 Welcome: Claude Motion01:39 Jotform workflow video demonstration05:05 Calendar and training video examples07:16 Motion graphics for training11:16 Branding and reusable skills13:18 Design tools and brand consistency16:33 App launches and help videos19:45 Motion graphics across social media25:11 Human conversations and AI creativity29:10 Where video tools go next

What would you build if an app only needed to work for you? Aytekin Tank and Demetri Panici share how they use AI to build personal mobile apps and rethink the software they use every day.

The conversation includes native iOS development with Codex, a podcast app built with Jotform, and a personal teleprompter demonstration. They also discuss where custom apps fit into content workflows and internal tools.

Chapters

00:00 Opening idea

00:22 AI Agents Podcast intro

00:46 Welcome: building mobile apps with AI

01:12 Software for one person

04:04 Native apps, iOS and Codex

09:32 Demonstrating personal apps

15:59 Building a podcast app with Jotform

24:50 CueStream teleprompter demonstration

29:00 AI content workflows

32:37 Replacing internal tools

Demetri Panici and Aytekin Tank explore ChatGPT Work, Astra and the shift from answering questions to completing tasks. Through hands-on demonstrations, they discuss planning trips and events, creating a personal news dashboard, making images and thumbnails, and running longer tasks with goals and integrations.

CHAPTERS

00:00 We have reached agent status

00:17 Intro

00:41 ChatGPT Work and Astra

01:39 Chat, work and Codex

04:22 From chatting to agents

07:08 Planning a launch party

11:25 Disneyland planning and slides

15:28 A personal news dashboard

19:13 Mobile access and scheduled work

22:27 Images, thumbnails and goals

28:55 Capabilities and integrations

30:58 What this means for software businesses

33:45 Goals and longer running tasks

35:15 Browser use and paper trading

40:16 Moving recording files

43:00 Closing

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

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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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