AI Agents Podcast

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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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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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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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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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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