Advertise on podcast: AI Agents Podcast

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 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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⏰ 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/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Follow us on: Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – Why AI agents are becoming so powerful00:48 – Introduction to ChatGPT Workspace Agents03:29 – What makes Workspace Agents different from Custom GPTs06:09 – Integrations, skills, and memory explained09:03 – Claude Managed Agents vs ChatGPT Agents11:30 – Building an uptime monitoring AI agent live21:58 – Creating a Google Docs monitoring workflow27:51 – How AI agents are changing productivity and automation30:03 – The future of SaaS products in an AI agent world34:08 – Why AI workflows still need SaaS platforms ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Sign up to learn more ➡️ https://www.jotform.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Follow us on: Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – AI as a workflow compressor in healthcare01:04 – Medication adherence and addiction recovery challenges02:13 – How their platform differs from consumer solutions04:17 – Designing simple AI tools for patients and providers05:10 – Long-term vision for healthcare and medication management07:23 – AI note-taking, provider burnout, and healthcare workflows11:24 – Risks of hallucinations and AI memory in medical care13:47 – How AI can improve healthcare efficiency and patient outcomes16:16 – Insurance, reimbursement, and why healthcare AI adoption is slow29:16 – Will AI replace jobs or create better work? ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Sign up for free ➡️ https://link.jotform.com/eCGiU1nteQ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Follow us on: Twitter ➡️ https://x.com/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – Why understanding AI is constantly evolving02:28 – Brendan’s background and building Classify05:05 – Agents vs bots and how AI systems interact08:12 – The missing layer: contextual intelligence13:16 – Do AI models actually understand language?19:19 – AI workflows, Claude, and productivity tools24:11 – Building faster with AI as a small team30:18 – Opportunities for startups in the AI era36:38 – Explaining AI in a rapidly changing market49:08 – Are we approaching the AI singularity? ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Sign up to learn more ➡️ https://www.tri-classify.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Follow us on:Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 extreme02:00 – Rade’s background & building companies early05:30 – The real problem with AI today: latency09:30 – Why AI feels slow (and why it matters)13:30 – Voice agents & real-time interaction challenges18:00 – Where AI is going next (voice → video → gaming)24:30 – AI hype vs reality in every market cycle29:00 – Will AI replace jobs or just change them?38:00 – How companies are hiring in the AI era47:00 – The future of AI agents & human productivity ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Sign up for free ➡️ https://www.jotform.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Follow us on:Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 tools00:49 – What are AI workflow builders?05:13 – Jotform AI workflow demo09:18 – MuleRun & building full tools with AI14:52 – Pipedream demo (email automation)18:28 – Zapier AI workflow builder21:24 – n8n: powerful but intimidating23:41 – AI agents (Perplexity & Claude demos)29:00 – Real-world automation examples33:43 – 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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS: 00:00 — Preventing AI hallucinations in financial transactions00:54 — Introducing Tina Kung and Nue (nue.io)03:02 — Transactional intelligence vs traditional AI insights07:03 — AI that takes action: quotes, invoices, and automation09:13 — AI companies and hybrid revenue models16:27 — New pricing models emerging in the AI era23:02 — Building practical AI without hallucinations29:13 — How AI is changing engineering teams33:03 — Hiring shifts in the AI-first world36:47 — Tina’s personal AI productivity stack ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⏰ 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 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sign up for free ➡️ https://www.jotform.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Follow us on: Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS: 00:00 – Building an AI innovation incubator safely01:09 – Katie Fortunato intro & Hire Innovations overview03:08 – A day in innovation and product strategy05:43 – Why legacy companies need AI sandboxes07:10 – Three ways companies innovate with AI09:35 – Launching Job Stream using vibe coding11:22 – Non-technical founders building with AI13:38 – Claude, Lovable, and rapid product development16:11 – AI is consolidating the tech stack18:30 – Finding product-market fit with AI20:13 – Understanding hiring cycles and timing launches23:00 – Automate yourself before AI automates you24:39 – Healthcare, AI engineers, and job growth27:03 – Solopreneurs and lean AI-powered teams29:08 – Fractional work and gig economy growth31:12 – Designing your dream life, not just your job33:54 – Advice for founders using AI to free time ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – Jotform AI uses multiple agents behind the scenes01:00 – What Jotform AI is and how it works inside the product02:21 – How Jotform AI improves onboarding and boosts success rates05:03 – Live voice demo: building a pizza party signup form08:32 – How Jotform AI is built on Jotform Agents14:20 – Why users succeed faster with AI guided form building24:13 – MCP, specialized agents, and how Jotform AI works technically28:02 – Will users work inside products or through external AI agents?33:13 – What’s next for Jotform AI and proactive suggestions37:26 – Final thoughts on how AI changes product learning curves ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Sign up for free ➡️ https://www.jotform.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Follow us on:Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcast In 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 with00:23 – The real reason you’re struggling with fundraising01:34 – From startups to AI: the founder’s journey03:09 – Why founders still lack real support05:22 – The problem with ChatGPT for building businesses07:16 – Founders don’t know what to ask AI09:04 – ChatGPT’s bias and “people pleasing” issue10:01 – The rise of “vibe founding”14:14 – What “structure as a service” actually means26:40 – The future of solopreneurs and job security ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – AI is already taking parts of engineering work01:03 – James Luan’s background and first AI moments07:07 – Why Zilliz was built and how vector databases fit in16:58 – Long term memory, agent search, and reasoning workflows21:37 – MCP, tooling limits, and real world production issues31:02 – Are coding agents already replacing parts of engineering?35:52 – AI for travel planning, presentations, and parallel work38:57 – NotebookLM, Gamma, and James’s favorite AI tools39:45 – Where to find James and Zilliz ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Sign up for free ➡️ https://www.jotform.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Follow us on:Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⏰ 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 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sign up for free ➡️ https://www.jotform.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Follow us on: Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – Smaller teams powered by AI agents 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 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sign up for free ➡️ https://www.jotform.com/▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Follow us on:Twitter ➡️ https://x.com/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – Why AI still feels exciting and broken at the same time01:03 – Bryan Raymond’s background and the origin of Unstructured03:03 – What Unstructured does: turning raw data into AI-ready data06:06 – Why RAG exists and why structured data matters so much10:42 – The hard part: tables, layouts, scanned PDFs, and document parsing17:48 – Who needs this most: gen-AI teams vs data engineering teams20:20 – The industries moving fastest with enterprise AI26:28 – 2026 predictions: lower failure rates and stronger agent systems29:33 – Cursor, Lovable, enterprise UX, and where AI infrastructure is heading33:42 – AI jobs, junior engineers, and where real opportunity still exists▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Sign up for free ➡️ https://www.jotform.com/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Follow us on:Twitter ➡️ https://x.com/aiagentspodcast Instagram ➡️ https://www.instagram.com/aiagentspodcast TikTok ➡️ https://www.tiktok.com/@aiagentspodcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬