AI Agents Podcast
- Episódios
- 144
- Publicação
- semanal
- Último episódio
- 9 nov 2026
Sobre o podcast
Welcome to AI Agents, Jotform’s official podcast about all things AI Agents related, hosted by Aytekin Tank and Demetri Panici. Tune in as we discuss the current state of AI Agents, its future, developments in the AI form industry, and more. We’ll also be joined by a variety of guests and industry experts to discuss their unique positioning in the world of AI. Subscribe or follow to stay updated on new episodes!
Episódios 144
Making Motion Graphics and Training Videos with Claude | EP 144
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 …
Notas do episódio
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
Build Your Own Mobile Apps with AI | EP 143
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 …
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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
ChatGPT Work and Astra: From Chatting to AI Agents | EP 142
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 …
Notas do episódio
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
Subscribe to AI Agents Podcast: https://link.jotform.com/subscribe-to-podcast
Aydin Mirzaee Fellow.app - AI Agents That 10x Your Productivity | EP 141
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Aidan Mirza, founder and CEO of Fellow, to …
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Subscribe to AI Agents Podcast Channel:
https://link.jotform.com/subscribe-to-podcastIn 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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Learn more about Fellow ➡️ https://fellow.app/
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Twitter ➡️ https://x.com/aiagentspodcast
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ChatGPT Workspace Agents: Automating Workflows with AI Integrations and Memory | EP 140
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, Demetri Panici and Jotform CEO Aytekin Tank break down OpenAI’s new ChatGPT …
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Subscribe to AI Agents Podcast Channel:
https://link.jotform.com/subscribe-to-podcast
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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Inside AI Healthcare: Addiction Recovery, Workflow Automation, and the Future of Patient Care | EP 139
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with a healthcare AI consultant and operator to …
Notas do episódio
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn 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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Follow us on:Twitter ➡️ https://x.com/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast
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Inside Classify: Contextual Intelligence, AI Agents, and the Hidden Layer Powering the Web | EP 138
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Brendan Norman, co-founder and CEO of Classify …
Notas do episódio
Subscribe to AI Agents Podcast Channel:
https://link.jotform.com/subscribe-to-podcastIn 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?▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Sign up to learn more ➡️ https://www.tri-classify.com/▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
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Twitter ➡️ https://x.com/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcast
TikTok ➡️ https://www.tiktok.com/@aiagentspodcast
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Why AI Hype Is Always Wrong (And What Actually Happens) | EP 137
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastEvery major tech shift follows the same pattern: one side says it’ll change the world overnight, the other says it’ll destroy …
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Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcast
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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AI Agents for Workflow Automation | EP 136
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastMost people are still intimidated by advanced AI tools—but they don’t need to be. In this episode, we break down how …
Notas do episódio
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcast
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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Sign up for free ➡️ https://www.jotform.com/▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Follow us on: Twitter ➡️ https://x.com/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Tina Kung - Nue.io AI Agents That 10x Your Productivity | EP 135
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Tina Kung, Co-Founder and CTO of Nue (nue.io), to …
Notas do episódio
Subscribe to AI Agents Podcast Channel:
https://link.jotform.com/subscribe-to-podcastIn 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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ChatGPT App Store Is the Next AI Platform | EP 134
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Jotform Founder & CEO Aytekin Tank to discuss the …
Notas do episódio
Subscribe to AI Agents Podcast Channel:
https://link.jotform.com/subscribe-to-podcastIn 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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AI Recruiting & Hiring's Future with Katie Fortunato, Jobstream | EP 133
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Katie Fortunato, Co-Founder and EVP of Innovation …
Notas do episódio
Subscribe to AI Agents Podcast Channel:
https://link.jotform.com/subscribe-to-podcastIn 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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Inside Jotform AI: MCP, Voice Control, and the Future of Building Forms | EP 132
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Jotform founder Aytekin Tank to break down …
Notas do episódio
Subscribe to AI Agents Podcast Channel:
https://link.jotform.com/subscribe-to-podcastIn 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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AI Agents & Autonomous Workflows with Samim Safaei Siift ai | EP 131
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn this episode, we sit down with the founder and CEO of Sift AI to unpack a problem most founders don’t even realize they …
Notas do episódio
Subscribe to AI Agents Podcast Channel:
https://link.jotform.com/subscribe-to-podcastIn this episode, we sit down with the founder and CEO of Sift AI to unpack a problem most founders don’t even realize they have: they’re solving the wrong problems.
From customer discovery and validation to the rise of “vibe founding,” we explore why asking for help with fundraising might actually mean you’re not ready yet—and how AI is both helping and hurting founders in that process.
We also dive into how tools like ChatGPT fall short when it comes to iteration, context, and real business building—and what a more structured, founder-first AI platform could look like.
If you're building (or thinking about building) something, this episode will challenge how you think about strategy, validation, and using AI the right way.
⏰ TIMESTAMPS:
00:00 – Most founders don’t know what they need help with
00:23 – The real reason you’re struggling with fundraising
01:34 – From startups to AI: the founder’s journey
03:09 – Why founders still lack real support
05:22 – The problem with ChatGPT for building businesses
07:16 – Founders don’t know what to ask AI
09:04 – ChatGPT’s bias and “people pleasing” issue
10:01 – The rise of “vibe founding”
14:14 – What “structure as a service” actually means
26:40 – The future of solopreneurs and job security▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Unlocking AI Vector Databases with James Luan, Zilliz CPO | EP 130
Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with James Luan from Zilliz to talk about how AI is …
Notas do episódio
Subscribe to AI Agents Podcast Channel:
https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with James Luan from Zilliz to talk about how AI is already changing the day to day work of engineers. James explains why coding agents are already taking over parts of his workflow, how vector databases became a core building block for modern AI systems, and why retrieval still matters even in a world obsessed with bigger models.
They also get into the real mechanics behind RAG, hallucinations, MCP, long term memory for agents, and the challenges of building production grade AI systems that can search, reason, and scale reliably. If you want a practical conversation about where agent infrastructure is going and what engineers should actually pay attention to, this episode is worth watching.
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⏰ TIMESTAMPS:
00:00 – AI is already taking parts of engineering work
01:03 – James Luan’s background and first AI moments
07:07 – Why Zilliz was built and how vector databases fit in
16:58 – Long term memory, agent search, and reasoning workflows
21:37 – MCP, tooling limits, and real world production issues
31:02 – Are coding agents already replacing parts of engineering?
35:52 – AI for travel planning, presentations, and parallel work
38:57 – NotebookLM, Gamma, and James’s favorite AI tools
39:45 – Where to find James and Zilliz▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
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TikTok ➡️ https://www.tiktok.com/@aiagentspodcast
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AI Agents for Risk & Compliance with Dror Asaf KOVANT | EP 129
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Dror Asaf, co-founder and CTO of Coval, to talk …
Notas do episódio
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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Dror Asaf, co-founder and CTO of Coval, to talk about what it actually takes to bring agentic AI into enterprise operations. They get into why supply chain and operations are still surprisingly archaic, why trust and security are some of the biggest blockers to adoption, and how enterprise teams can use AI to remove bottlenecks without removing human decision-making.
Dror also shares how Coval is approaching enterprise AI differently, from on-prem deployments and Microsoft Teams integrations to strong governance and compliance layers. They also dig into the future of jobs, why AI will likely reshape work more than eliminate it, and why the people who know how to leverage these tools will have a massive advantage going forward.
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⏰ TIMESTAMPS:
00:00 – AI, jobs, and why new skill sets will matter most
01:03 – Dror Asaf’s background and why he started Coval
03:42 – Raising pre-seed funding and finding the right VC partner
08:31 – Key milestones: first deployment, first failures, and building the team
11:05 – How Coval uses agents in enterprise operations and supply chain
14:04 – What Dror learned about agent reliability, governance, and hallucinations
23:58 – Coval’s edge: security, on-prem deployment, and Microsoft Teams
27:56 – The long-term vision for enterprise AI adoption
33:16 – Will AI replace jobs or transform them?
38:33 – Dror’s favorite AI tools: Claude Code, Co-work, and more▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
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AI Agents in Legal Tech - David Wong Thomson Reuters on Responsible AI | EP 127
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with David Wong, Chief Product Officer at Thomson …
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Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcast
In this episode of the AI Agents Podcast, host Demetri Panici sits down with David Wong, Chief Product Officer at Thomson Reuters, to explore how AI agents are starting to reshape legal, tax, audit, and other professional services industries.
They discuss how Thomson Reuters evolved far beyond its well-known news brand into a software and research powerhouse for lawyers, accountants, tax professionals, and risk teams — and why AI is now becoming one of the biggest technological shifts those industries have ever seen.
David shares his journey from engineering, consulting, and ad systems into leading product at Thomson Reuters, along with how his team tested early GPT models on legal research years ago and watched the technology go from failing badly to becoming good enough for serious professional use cases.
Demetri and David also break down how AI can help with legal research, tax preparation, compliance work, and document-heavy workflows, why tax is such a strong fit for AI systems, and how the future of professional services may involve smaller teams supported by highly capable AI agents.
This episode is a must-watch for anyone interested in AI agents, legal tech, tax automation, enterprise workflows, and the future of knowledge work — especially if you want to understand how AI is beginning to transform industries built on expertise, research, and structured judgment.
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00:52 – Meet David Wong, Chief Product Officer at Thomson Reuters
01:49 – David’s background and journey into product leadership
03:24 – What Thomson Reuters actually does beyond news
06:02 – Early exposure to AI and machine learning
08:39 – Testing GPT-3 on legal research years before the boom
10:20 – Where AI helps in legal research and written work
13:55 – How AI applies to tax preparation and compliance
24:00 – Teaching AI to use tools instead of “doing the math”
33:48 – How AI could flatten team structures in professional services
47:23 – Where to learn more about Thomson Reuters and CoCounsel
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Building AI That Thinks Like a Human - Brian Raymond Unstructured on Agentic Software & Human-AI Collaboration | EP 128
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Bryan Raymond, founder and CEO of Unstructured …
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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Bryan Raymond, founder and CEO of Unstructured, to break down one of the least flashy but most important layers in AI: data preparation. They dig into why so many AI prototypes still fail in practice, why RAG systems struggle with messy enterprise data, and how structured inputs like JSON, Markdown, and HTML can dramatically improve model performance.
Bryan explains how Unstructured helps enterprises turn raw files, scanned documents, audio, video, and other messy sources into AI-ready data for RAG pipelines and agent systems. The conversation covers why context quality matters so much, why tables and document layout are still hard for models, how vision-language models changed the game, and what it takes to move from AI prototype to production.
They also get into where AI is heading in 2026: declining failure rates, more practical “bread and butter” use cases, better multi-agent systems, and why companies like Cursor and Lovable have succeeded by packaging great UX around powerful infrastructure. If you want a clearer view of what’s actually missing in enterprise AI stacks right now, this episode is a must-watch.
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⏰ TIMESTAMPS:
00:00 – Why AI still feels exciting and broken at the same time
01:03 – Bryan Raymond’s background and the origin of Unstructured
03:03 – What Unstructured does: turning raw data into AI-ready data
06:06 – Why RAG exists and why structured data matters so much
10:42 – The hard part: tables, layouts, scanned PDFs, and document parsing
17:48 – Who needs this most: gen-AI teams vs data engineering teams
20:20 – The industries moving fastest with enterprise AI
26:28 – 2026 predictions: lower failure rates and stronger agent systems
29:33 – Cursor, Lovable, enterprise UX, and where AI infrastructure is heading
33:42 – AI jobs, junior engineers, and where real opportunity still exists
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Claude Code: Rebuilding 5 Websites Without Writing Code | EP 126
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Jotform CEO Aytekin Tank to explore Claude Code …
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In this episode of the AI Agents Podcast, host Demetri Panici sits down with Jotform CEO Aytekin Tank to explore Claude Code — a powerful AI development tool that lets you build, edit, and deploy entire applications simply by describing what you want.
They walk through how Claude Code makes it possible to rebuild abandoned websites, deploy them with Vercel, and manage entire projects without writing a single line of code.
By running multiple coding sessions in parallel, developers and non-developers alike can work on several products at once while AI handles the implementation.
The conversation also dives into a live demo showing how Claude Code plans changes, modifies a codebase, creates a contact page using Jotform, and pushes updates to a project in real time.
Along the way, they discuss how AI coding tools are changing the development workflow — from “vibe coding” and parallel agents to automated GitHub workflows that keep projects updated daily.
More importantly, they explore the bigger shift happening in software: when AI handles most of the technical execution, the real bottleneck becomes ideas, product taste, and knowing what to build.
If you're curious about the future of AI-assisted development, autonomous coding agents, and how tools like Claude Code could change the way products are built, this episode is a deep dive into what might be the next era of software creation.
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:
00:00 – Rebuilding multiple abandoned websites with Claude Code
03:26 – Using Claude Code alongside OpenClaw infrastructure
07:18 – Why ideas and product taste are becoming the new bottleneck
16:08 – Watching Claude Code execute the development plan
22:38 – Using GitHub to automate website updates
31:11 – Running multiple AI coding agents simultaneously
35:21 – Brainstorming and planning features with AI skills
39:13 – Executing AI-generated development plans
44:11 – Avoiding conflicts when editing projects in parallel
48:02 – The “ChatGPT moment” for AI coding tools
49:28 – Why 2026 feels like a new era for building software
50:23 – Final thoughts on the future of AI-assisted development
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OpenClaw: The AI That Controls Your Computer 24/7 | EP 125
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, hosts Aytekin Tank and Demetri Panici break down OpenClaw — a wildly powerful “AI …
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Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, hosts Aytekin Tank and Demetri Panici break down OpenClaw — a wildly powerful “AI that actually does things.”
They compare it to tools like Claude Co-Work, show a live demo pulling G2 reviews and generating a report + Keynote deck, and talk about what it means when agents can run 24/7 via Telegram/Slack/WhatsApp.They also dig into the real tradeoff: OpenClaw’s insane capability (always-on, self-healing/heartbeat, autonomous computer control, agent teams) versus the security risks of giving an unvetted agent too much access.
If you’re thinking about running agents on a dedicated machine (like a Mac mini), this episode is basically a “do this, not that” starter kit.This episode is a must-watch for anyone curious about autonomous agents, recurring workflows, and the early “AI employee” era — plus how to use these tools safely without nuking your accounts.
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – OpenClaw, always-on agents, and “it figured it out”00:54 – Why OpenClaw might be the craziest tool on the show02:15 – OpenClaw’s rise, name changes, and security concerns04:18 – OpenClaw vs Claude Co-Work (control + limits)07:39 – Live demo: pulling G2 reviews and generating insights12:08 – Making the report better + turning it into a Keynote deck18:02 – How to run OpenClaw via VM/Mac mini + messaging it remotely21:25 – Agent teams + “AI departments” doing recurring work32:14 – Safety checklist: what NOT to give agents access to37:39 – Agents making social networks (and weird agent behavior)46:52 – Final thoughts + using agents responsibly49:13 – Wrap-up▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Sign up for free ➡️ https://www.jotform.com/▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Follow us on: Twitter ➡️ https://x.com/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Vibe Working Is Here: Agent Teams, Claude Code & the Future of SaaS | EP 124
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, hosts Aytekin Tank and Demetri Panici explore the rise of “vibe working” and what …
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In this episode of the AI Agents Podcast, hosts Aytekin Tank and Demetri Panici explore the rise of “vibe working” and what it means for knowledge workers, founders, and SaaS companies in 2026.
They break down how AI agents like Claude Code, Claude Co-Work, OpenClaw, GPT-5.2, and Gemini are transforming how work gets done—from parallel research agents and automated slide decks to building full internal dashboards with nothing but natural language prompts.
The conversation dives into the concept of “agent stress,” running AI agents in parallel, and how teams are starting to manage digital workers the same way they manage human ones.
They also discuss the viral “Something Big Is Happening” article and what Anthropic’s latest releases signal for the future of software, SaaS businesses, and market competition.
Demetri shares real-world demos of building motion graphics engines, ad dashboards, research systems, and internal tools using Claude Code—without being a traditional engineer. They also unpack the economics behind AI pricing, token subsidies, and why now may be the best time to experiment while frontier models are heavily subsidized.
This episode is a must-watch for founders, operators, developers, and ambitious knowledge workers who want to understand how AI agents, parallel workflows, and natural-language programming are reshaping productivity—and how to take advantage of it before the landscape changes.
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00:00 – Agent stress and keeping your AI busy
00:50 – What is “vibe working”?
02:18 – Parallel AI agents and agent teams explained
06:11 – $85B wiped from software stocks in one day
08:16 – “What software still matters?”
13:16 – Why recent AI model improvements feel different
15:55 – The $200 Claude plan and token economics1
9:14 – Competition: Claude vs GPT vs Gemini
22:49 – Building dashboards and motion graphics with AI
33:30 – OpenClaw, Cloud Code, and workflow automation
54:08 – How to start vibe working today
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Building AI Red Flags - Max Eisendrath Makes Risk Management Smarter with Redflag AI | EP 123
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Max Eisinger, Founder and CEO of Red Flag AI, to …
Notas do episódio
Subscribe to AI Agents Podcast Channel: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with Max Eisinger, Founder and CEO of Red Flag AI, to break down content protection in the age of AI, deepfakes, and large-scale digital piracy.They talk about how piracy has evolved from classic reuploads to live stream leaks, and why AI-generated content is making attribution and authenticity harder than ever. Max shares how Red Flag AI approaches detection at scale, why watermarking/fingerprinting and provenance tracking matter, and what platforms like YouTube are doing to respond.They also cover Red Flag’s upcoming “Shield” concept (designed to make training on protected content way more expensive), the arms race of filters/edits meant to evade detection, and why soon humans won’t reliably tell what’s real without advanced verification.This episode is a must-watch for creators, media teams, and AI builders who want a clear view of where content ownership, monetization recovery, and authenticity standards are headed.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – Can humans still detect AI-generated content?00:40 – Max Eisinger’s background and founding Red Flag AI04:00 – The evolution of online piracy and live stream leaks06:02 – AI-generated content, deepfakes, and attribution challenges08:17 – Making enterprise-level protection accessible to creators10:39 – Watermarking, fingerprinting, and avoiding false positives13:35 – Red Flag Shield: protecting content from AI model training16:47 – Recovering lost revenue for creators18:26 – Shorts, edits, and the content arms race24:20 – Cross-platform protection and centralized control25:34 – The positives and risks of AI-generated media30:24 – Why humans can’t reliably detect AI anymore33:14 – Bottom-up provenance vs. top-down detection36:19 – The future of shared authenticity standards37:23 – AI tools inside software teams42:59 – Where to find Red Flag AI
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Building AI Research Agents with Kevin White (ScrunchAI) | EP122
Subscribe to AI Agents Podcast Channel on YouTube: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici speaks with Kevin White, Head of Marketing at …
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In this episode of the AI Agents Podcast, host Demetri Panici speaks with Kevin White, Head of Marketing at Scrunch, about how artificial intelligence is transforming SEO, brand visibility, and digital marketing strategies.
As AI platforms like ChatGPT, Perplexity, Gemini, and other large language models rapidly change how users discover products and services, marketers are facing a major shift.
Traditional SEO strategies are evolving into something much broader — where brands must now optimize not just for search engines, but also for AI-driven discovery platforms.
Kevin shares insights into how companies can benchmark their brand visibility across AI tools, monitor AI crawler activity, and optimize websites to ensure accurate representation within AI-generated responses.
The discussion dives deep into the concept of zero-click search, where users get answers directly from AI without visiting websites, and how businesses can still drive conversions despite declining traditional traffic metrics.
The conversation also explores Scrunch’s Agent Experience Platform, which helps companies detect AI bot traffic, optimize site structure for AI crawlers using structured formats like markdown and JSON, and create separate optimized experiences for both human visitors and AI agents.
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⏰ TIMESTAMPS:
00:00 – Marketing in the Age of AI
01:04 – Kevin White’s Marketing & AI Background
03:06 – Joining Scrunch & AI Marketing Opportunities
05:12 – Why Measuring AI Visibility Matters
07:55 – Zero-Click Search & AI Brand Analytics
09:05 – Optimizing Websites for AI Crawlers
10:25 – Agent Experience Platforms Explained
12:55 – How AI Bots Crawl and Interpret Websites
15:17 – Identifying AI Bot Traffic & Analytics
17:04 – Scrunch Customer Workflow & Marketing Maturity Model
19:13 – Target Customers & Market Adoption
21:02 – Real Business Results & Conversion Improvements
23:00 – Higher Conversion Rates from AI Discovery
25:05 – AI Tools Supporting Small & Medium Businesses
29:32 – AI Commerce & Future Content Monetization
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TikTok ➡️ https://www.tiktok.com/@aiagentspodcast
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Social AI Agents with David Petrou Continua AI CEO | EP121
Subscribe to AI Agents Podcast Channel on YouTube: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, host Demetri Panici sits down with David Petrou, founder and CEO of …
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In this episode of the AI Agents Podcast, host Demetri Panici sits down with David Petrou, founder and CEO of Continua AI, to discuss the evolution of AI agents, multimodal models, and social AI.
They explore how agentic systems are reshaping collaboration, productivity, and human connection, sharing insights from real-world experience building AI products and lessons learned from past innovations.
David shares his journey from Google, where he spent nearly two decades working on AI and machine learning, to founding Continua AI, a company focused on creating AI agents that actively participate in group conversations, nudging people to connect and collaborate more effectively.
They discuss the nuances of AI development, from early experiences with machine learning and language models to the latest breakthroughs in reasoning, tool usage, and zero-shot learning.
David and Demetri also cover technical insights, including AI hallucinations, token efficiency, latency, cost optimization, and on-device processing, providing listeners with a clear understanding of the opportunities and challenges in building intelligent systems today.
This episode is a must-watch for anyone interested in the future of AI, productivity, and social intelligence—whether you're a developer, entrepreneur, or AI enthusiast—and how cutting-edge AI can elevate both personal and organizational performance.
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⏰ TIMESTAMPS:
00:00 – Proactive AI agents and Slack integrations
03:18 – Introduction to the AI Agents Podcast
05:15 – David Petri’s background and journey into AI
09:37 – Machine learning, humility, and agentic intelligence
14:06 – Why early AI ideas failed and lessons from Google Glass
18:36 – Multimodal AI and real-world use cases
23:03 – Hallucinations, tokens, and how LLMs actually work
27:03 – Cost, latency, and the rise of on-device AI
31:20 – Designing social AI for group conversations
36:48 – Product vision: AI that enhances human connection
41:55 – The future of agentic AI and collaboration
47:32 – Final thoughts on innovation and timing
52:11 – Episode wrap-up and closing remarks
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Scaling Revenue Teams with AI-Driven GTM Data – Jason Ambrose (People.ai) | EP120
Subscribe to AI Agents Podcast Channel on YouTube: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, we sit down with Jason Ambrose, CEO of People.ai, to explore how AI is …
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In this episode of the AI Agents Podcast, we sit down with Jason Ambrose, CEO of People.ai, to explore how AI is transforming revenue operations and scaling go-to-market (GTM) teams.
Jason shares how People.ai uses AI-driven data to automate administrative tasks, uncover actionable insights, and enable sales teams to focus on building customer relationships and closing deals.
He dives into the critical role of AI in optimizing CRM workflows, forecasting with better accuracy, and surfacing context-rich answers to drive strategic decisions.
We also discuss key trends in AI adoption across traditional and tech-forward enterprises, the importance of embedding AI into sales motions without disrupting workflow, and how emerging AI agent frameworks like Multi-Agent Collaboration Protocol (MCP) are unlocking intelligent automation at scale.
Whether you're in RevOps, sales leadership, or exploring AI-powered tools to boost productivity, this episode is packed with practical insights for leveraging AI in your GTM strategy.
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⏰ TIMESTAMPS:
0:33 - Meet The Host And Guest
1:34 - Jason’s Journey Into AI
2:38 - What Is RevTech Explained
5:03 - Joining People AI And Mission
7:01 - How People AI Works
9:05 - Traditional Vs Tech Companies In AI
11:01 - People AI’s Core Differentiators
15:01 - Future Of AI In Sales
20:02 - Product Evolution And MCP Unlock
31:09 - Real Use Cases With Agents And AI
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AI Agent Relationship Secrets Revealed by Sundar Subramanian Zyter TruCare CEO | EP119
Subscribe to AI Agents Podcast Channel on YouTube: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, Demetri Panici sits down with Sundar Subramanian, CEO of Zyter TruCare …
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In this episode of the AI Agents Podcast, Demetri Panici sits down with Sundar Subramanian, CEO of Zyter TruCare, to discuss how AI is transforming healthcare workflows.
Sundar shares insights from his work leading AI innovation and building multi-agent systems like SymfonY, which are revolutionizing the way clinicians and healthcare organizations operate.
Healthcare is complex, and administrative tasks often take clinicians away from patient care.
In this conversation, Sundar explains how AI agents are being deployed to streamline workflows, reduce administrative burden, and improve patient outcomes.
From triage documentation to prior authorizations, AI is helping clinicians focus on what truly matters—delivering high-quality, human-centered care.
Sundar also dives into the ethical and practical considerations when implementing AI in healthcare. He shares lessons from building AI systems that are not just technologically advanced, but also trusted, human-centric, and scalable.
Whether you are a healthcare professional, technology enthusiast, or an AI researcher, this episode provides valuable insights into the future of AI-human collaboration in healthcare.
Sundar’s experiences highlight the importance of integrating AI thoughtfully into workflows to maximize both efficiency and human impact.
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⏰ TIMESTAMPS:
0:00 – Intro: Exploring AI in healthcare workflows.
2:00 – Sundar shares his journey into AI.
8:00 – Lessons learned from past technology transformations.
14:00 – How Zider is using AI to improve healthcare processes.
20:00 – Streamlining prior authorizations & utilization management.
27:00 – Giving clinicians time back and improving patient care.
33:00 – Building effective human-AI teams in healthcare.
38:00 – Adoption challenges & compliance considerations.
40:00 – Ensuring AI ethics and building trust.
41:00 – Predictions for the future of AI in healthcare.
41:30 – Key takeaways for listeners.
42:00 – Conclusion & wrap-up.
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AI Agents Transforming Cybersecurity with Ian Amit (Gomboc.ai) | EP118
Subscribe to AI Agents Podcast Channel on YouTube: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, we speak with Ian Amit, co-founder and CEO of Gomboc.ai, about how AI …
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In this episode of the AI Agents Podcast, we speak with Ian Amit, co-founder and CEO of Gomboc.ai, about how AI agents are revolutionizing cybersecurity and infrastructure management.
Drawing on his extensive background as both an attacker and defender in the cybersecurity space, Ian discusses how deterministic AI can identify and fix vulnerabilities in cloud environments, optimize performance, and reduce engineering toil at the source—right within the development environment.
Ian explains how Gomboc.ai shifts the focus from merely identifying problems to actually fixing them in real-time, embedded within the coding process.
We also explore why generative AI often falls short in secure engineering applications and how Gomboc’s deterministic approach brings speed, accuracy, and trust to software development.
Whether you're a DevOps professional, security engineer, or tech leader, this episode offers key insights into the future of AI-powered development and cybersecurity.
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⏰ TIMESTAMPS:
0:00 - Expanding Fixes Beyond Security
1:03 - Introducing Ian Amit and Gombok AI
2:00 - How Cybersecurity Led to AI Innovation
5:51 - Problem Solving Through AI in Security
10:02 - Early Motivation Behind Gombok AI
16:01 - Shifting Left in Code Fixing
21:00 - Fixing Code Problems at the Source
28:49 - Problems With AI-Generated Code
33:08 - Real-World Use Cases in Cloud Security
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Claude Cowork is INSANE (Try These Use Cases Out) | EP117
Subscribe to AI Agents Podcast Channel on YouTube: https://link.jotform.com/subscribe-to-podcastClaude Cowork is transforming the way we interact with AI in our daily workflows. In this episode, Demetri Panici …
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Claude Cowork is transforming the way we interact with AI in our daily workflows.
In this episode, Demetri Panici and Aytekin Tank explore this groundbreaking new tool from Anthropic, showcasing powerful real-world use cases where Claude Cowork goes beyond basic chat capabilities to actually execute tasks on your desktop.
From organizing files to building presentations, automating browser actions, and generating PDF reports, Claude Cowork functions as a true digital assistant, helping users with productivity-enhancing automation without needing to write code.
The hosts break down how Claude Cowork leverages access to your computer and browser to perform intelligent tasks with context awareness and user permissions.
Whether it's streamlining client meeting recaps, building forms with integrations like Jotform, or cleaning up cluttered folders, this AI agent offers an unparalleled level of autonomy and precision.
Tune in to learn how you can start using Claude Cowork to turn ideas into action and boost your daily efficiency with minimal input.
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⏰ TIMESTAMPS:
0:00 - How Claude Cowork Was Created
1:05 - Introducing Claude Cowork AI Agent
2:20 - Use Cases and Early Impressions
5:01 - Full Access to Files and Browser
7:02 - From Chatbot to Execution Agent
11:01 - Real-Time Folder Organization Demo
17:00 - Claude Cowork’s Planning Capabilities
21:00 - Jotform Integration via MCP Connector
26:00 - Creating Client Meeting Reports
31:00 - Chrome Extension and Web Automation
40:00 - Claude Controls Another AI Session
47:30 - Final Thoughts and Productivity Potential
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AI's Future Unlocked — Peter Grimvall, Ekona AI CEO | EP116
Subscribe to AI Agents Podcast Channel on YouTube: https://link.jotform.com/subscribe-to-podcastIn this episode of the AI Agents Podcast, we sit down with Peter Grimvall, co-founder and CEO of Ekona AI, to …
Notas do episódio
Subscribe to AI Agents Podcast Channel on YouTube: https://link.jotform.com/subscribe-to-podcast
In this episode of the AI Agents Podcast, we sit down with Peter Grimvall, co-founder and CEO of Ekona AI, to explore how AI is reshaping operations in highly regulated industries like pharma, finance, and supply chain.
Peter shares his journey from leading AI initiatives at IKEA to building a lean, AI-first company that simplifies complex business processes using GenAI and machine learning.
Hear how Ekona leverages advanced AI models to automate tasks like compliance review, sales forecasting, and agentic workflow orchestration—cutting months of labor down to days.
We also dig into practical insights on the evolving capabilities of AI, from building multi-agent solutions to deploying secure, offline AI tools for sensitive industries.
Peter offers a grounded take on AI’s real impact on jobs, innovation, and operational agility, making this episode a must-listen for anyone looking to future-proof their organization with smart, scalable AI solutions.
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⏰ TIMESTAMPS:
0:00 - AI Industry Shifts and Model Trends
1:00 - Guest Introduction and Econa’s Origin Story
6:58 - Running a Lean, AI-First Company
12:15 - Key Use Cases in Pharma and Supply Chain
20:27 - Building and Managing Multi-Agent Systems
27:00 - Evolution of AI Models and Real-World Impact
33:00 - The Truth About AI and Job Displacement
38:01 - Most Misunderstood Business Use of AI
41:04 - Practical Ways Companies Can Implement AI
45:42 - Favorite AI Tools and Real-World Applications
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Building AI Ads with Ray Jang (Atria) | EP115
Subscribe to AI Agents Podcast Channel on YouTube: https://link.jotform.com/subscribe-to-podcastAI isn’t just changing how we work — it’s redefining who truly belongs in their craft.In this episode of the AI …
Notas do episódio
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AI isn’t just changing how we work — it’s redefining who truly belongs in their craft.
In this episode of the AI Agents Podcast, host Demetri Panici sits down with Ray Jang, Founder & CEO of Atria, to discuss how AI is reshaping creative work, careers, and the future of modern advertising.
From Ray’s journey leaving TikTok to surviving a near-death startup pivot, to building a creative intelligence platform used by brands and agencies alike, this conversation dives deep into:
➡️ How AI is lowering the floor but raising the ceiling
➡️ Why the “middle” of many careers is disappearing
➡️ The future of creative work, advertising, and AI agents
➡️ What it really takes to build and adapt in an AI-first world
Whether you’re a founder, marketer, creative, or builder, this episode will challenge how you think about skills, leverage, and long-term relevance.
👉 Are you mastering your craft — or just getting by?
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⏰ TIMESTAMPS:
00:00 – AI as a “Binary Filter” for Careers
02:10 – Intro: Meet the Host & Podcast Overview
03:15 – Welcoming Ray Jen, Founder & CEO of Atria
05:40 – Ray’s Background & Time at TikTok
08:45 – The First Startup Idea & Why It Failed
12:30 – The Painful Pivot With 3 Months of Runway
16:40 – Finding Product-Market Fit Under Pressure
21:55 – How Atria Was Born
25:30 – What Creative Intelligence Really Means
30:10 – How Brands & Agencies Use Atria Today
34:45 – Scaling Ads Without Scaling Teams
39:20 – AI, Creativity & Job Displacement
44:10 – Lowering the Floor, Raising the Ceiling
48:55 – Why AI Empowers True Creators
52:10 – Ray’s Long-Term Vision for Atria
54:00 – Final Thoughts & Where to Find Ray
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Twitter ➡️ https://x.com/aiagentspodcast
Instagram ➡️ https://www.instagram.com/aiagentspodcast
TikTok ➡️ https://www.tiktok.com/@aiagentspodcast
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Aqui estão os 40 episódios mais recentes de 144. Os mais antigos estão no feed do podcast.
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