Show Notes
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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. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⏰ 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 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 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 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
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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 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
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 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? ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 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 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/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 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 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 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 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 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬