AI Agents Podcast

In this episode of the AI Agents Podcast, we sit down with Ganesh Padmanabhan, CEO of Autonomize AI, to explore how cutting-edge AI innovation is being purpose-built to solve some of the most complex challenges in healthcare. Ganesh walks us through his journey from data-driven enterprise solutions to founding Autonomize—an AI platform specifically designed to address the inefficiencies and administrative bottlenecks in the healthcare industry by empowering medical professionals with agentic AI tools.We delve into why healthcare, despite generating over two-thirds of the world's data, lags in leveraging it effectively, and how Autonomize is reshaping that narrative by creating highly specialized AI agents that integrate seamlessly into healthcare workflows. With a focus on delivering the right care at the right time, boosting operational efficiency, and empowering providers and patients alike, this conversation is a deep dive into the future of AI-powered, patient-centric healthcare.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:0:00 - Why Healthcare Is Behind in AI 1:42 - Ganesh's Journey Into Artificial Intelligence 5:02 - Building AI Solutions for Enterprise 10:01 - Challenges of Using AI in Healthcare 21:02 - Generalist vs Specialist AI Models 26:03 - How Autonomize Uses Agentic Workflows 35:33 - Healthcare AI As An Augmentation Layer 42:04 - Reducing Administrative Burden With AI 47:02 - Real-World Impact of AI in Healthcare 51:01 - Final Thoughts and Call to Action▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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-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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ 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/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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-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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ 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/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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 most01:03 – Dror Asaf’s background and why he started Coval03:42 – Raising pre-seed funding and finding the right VC partner08:31 – Key milestones: first deployment, first failures, and building the team11:05 – How Coval uses agents in enterprise operations and supply chain14:04 – What Dror learned about agent reliability, governance, and hallucinations23:58 – Coval’s edge: security, on-prem deployment, and Microsoft Teams27:56 – The long-term vision for enterprise AI adoption33:16 – 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/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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 agents00:52 – Meet David Wong, Chief Product Officer at Thomson Reuters01:49 – David’s background and journey into product leadership03:24 – What Thomson Reuters actually does beyond news06:02 – Early exposure to AI and machine learning08:39 – Testing GPT-3 on legal research years before the boom10:20 – Where AI helps in legal research and written work13:55 – How AI applies to tax preparation and compliance24:00 – Teaching AI to use tools instead of “doing the math”33:48 – How AI could flatten team structures in professional services47:23 – 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/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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, 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/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 — 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 Code03:26 – Using Claude Code alongside OpenClaw infrastructure07:18 – Why ideas and product taste are becoming the new bottleneck16:08 – Watching Claude Code execute the development plan22:38 – Using GitHub to automate website updates31:11 – Running multiple AI coding agents simultaneously35:21 – Brainstorming and planning features with AI skills39:13 – Executing AI-generated development plans44:11 – Avoiding conflicts when editing projects in parallel48:02 – The “ChatGPT moment” for AI coding tools49:28 – Why 2026 feels like a new era for building software50:23 – Final thoughts on the future of AI-assisted development▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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-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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

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 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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – Agent stress and keeping your AI busy00:50 – What is “vibe working”?02:18 – Parallel AI agents and agent teams explained06:11 – $85B wiped from software stocks in one day08:16 – “What software still matters?”13:16 – Why recent AI model improvements feel different15:55 – The $200 Claude plan and token economics19:14 – Competition: Claude vs GPT vs Gemini22:49 – Building dashboards and motion graphics with AI33:30 – OpenClaw, Cloud Code, and workflow automation54:08 – How to start vibe working today▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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-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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 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 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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – Marketing in the Age of AI01:04 – Kevin White’s Marketing & AI Background03:06 – Joining Scrunch & AI Marketing Opportunities05:12 – Why Measuring AI Visibility Matters07:55 – Zero-Click Search & AI Brand Analytics09:05 – Optimizing Websites for AI Crawlers10:25 – Agent Experience Platforms Explained12:55 – How AI Bots Crawl and Interpret Websites15:17 – Identifying AI Bot Traffic & Analytics17:04 – Scrunch Customer Workflow & Marketing Maturity Model19:13 – Target Customers & Market Adoption21:02 – Real Business Results & Conversion Improvements23:00 – Higher Conversion Rates from AI Discovery25:05 – AI Tools Supporting Small & Medium Businesses29:32 – AI Commerce & Future Content Monetization▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 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 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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – Proactive AI agents and Slack integrations03:18 – Introduction to the AI Agents Podcast05:15 – David Petri’s background and journey into AI09:37 – Machine learning, humility, and agentic intelligence14:06 – Why early AI ideas failed and lessons from Google Glass18:36 – Multimodal AI and real-world use cases23:03 – Hallucinations, tokens, and how LLMs actually work27:03 – Cost, latency, and the rise of on-device AI31:20 – Designing social AI for group conversations36:48 – Product vision: AI that enhances human connection41:55 – The future of agentic AI and collaboration47:32 – Final thoughts on innovation and timing52:11 – Episode wrap-up and closing remarks▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 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 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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ 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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 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, 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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ 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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 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 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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ 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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 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 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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ 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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 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 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.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ 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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 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 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 worldWhether 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?▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS:00:00 – AI as a “Binary Filter” for Careers02:10 – Intro: Meet the Host & Podcast Overview03:15 – Welcoming Ray Jen, Founder & CEO of Atria05:40 – Ray’s Background & Time at TikTok08:45 – The First Startup Idea & Why It Failed12:30 – The Painful Pivot With 3 Months of Runway16:40 – Finding Product-Market Fit Under Pressure21:55 – How Atria Was Born25:30 – What Creative Intelligence Really Means30:10 – How Brands & Agencies Use Atria Today34:45 – Scaling Ads Without Scaling Teams39:20 – AI, Creativity & Job Displacement44:10 – Lowering the Floor, Raising the Ceiling48:55 – Why AI Empowers True Creators52:10 – Ray’s Long-Term Vision for Atria54:00 – Final Thoughts & Where to Find Ray▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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 on YouTube: https://link.jotform.com/subscribe-to-podcastWhat happens when AI leaves the lab and enters real life?In this episode of the AI Agents Podcast, host Demetri Panici sits down with Ina Jelic, Founder & CEO of Enough, to explore how AI can be used to solve one of the most critical and human problems: personal safety.Ina shares a powerful personal story that led her into building an AI-powered wearable — a mini AI bodyguard — designed to detect threats autonomously using multimodal AI, including audio and video analysis. From real-time danger detection to evidence collection and intelligent escalation, this conversation dives deep into how AI can replace human limitations in high-stress situations.You’ll hear how AI agents reason in real time, why edge AI matters for safety-critical products, and what it really takes to bring AI + hardware into the real world. This episode also explores the emotional, ethical, and technical challenges of deploying AI systems that people rely on when it matters most.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬⏰ TIMESTAMPS00:00 – Why AI going live is both exciting and scary00:48 – Meeting Ina, Founder & CEO of Enough02:37 – A real-life attack and the reality of personal safety05:46 – Introducing the AI-powered wearable bodyguard08:59 – Audio threat detection and keyword analysis10:42 – Video analysis, object detection, and behavior patterns13:17 – Why AI must act without user input14:01 – From idea to R&D: building the product16:16 – Why evidence matters psychologically18:21 – How AI became the true core of the product19:52 – AI in police systems and manual processes21:14 – How AI evolution changed the product architecture23:38 – Edge AI and real-time decision making25:00 – What edge AI actually means28:31 – How it feels to finally bring AI into the real world▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬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▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬