AI Agents Among Us Podcast Por Will Johnson and Meghan Fasano arte de portada

AI Agents Among Us

AI Agents Among Us

De: Will Johnson and Meghan Fasano
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Welcome to AI Agents Among Us — the podcast where bold ideas, emerging tech, and sharp design collide.

Will is a data scientist who works at Google, after spending over 7 years at Microsoft driving innovation with enterprise customers. Meghan spent 18 years at Microsoft and now consults with the Peerless Group, helping enterprise and government contractors adopt AI through design thinking and the Jobs-to-Be-Done methodology. Together, they supported Microsoft’s largest enterprise accounts and now bring that same energy to the mic.


Each week, we riff on the future of AI, data, and digital storytelling—exploring how agents (yes, the ones shaping your search, your shopping, and your world) are transforming industries, creativity, and everything in between. It’s unfiltered, unexpected, and unapologetically nerdy. Tune in, spark your next big idea, and laugh with us along the way.


© 2025 AI Agents Among Us
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Episodios
  • Smart Glasses, Smarter Living: The Next Digital Revolution
    Sep 3 2025

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    In this engaging conversation, Will Johnson and Meghan Fasano explore the exciting advancements in AI technology, particularly focusing on AI glasses and computer vision. They discuss the potential of these technologies to enhance everyday life, from personal organization to fashion. The conversation delves into the implications of virtual try-on technology and how it can revolutionize the shopping experience. They also touch on the importance of bridging technology with reality, emphasizing the need for tools that allow users to engage with their surroundings without being glued to screens.

    Google Shopping Virtual Try-On
    – 👗 See how Google is letting you try on clothes instantly, without stepping into a fitting room.

    Vertex AI Generative AI – Virtual Try-On
    – 🤖 Peek behind the curtain at how generative AI creates ultra-realistic fashion try-on images.

    Vertex AI Creative Studio GitHub – VTO Experiments
    – 💡 Explore Google’s open-source experiments where developers are building the future of virtual try-on.

    • AI glasses could provide instant information about the environment.
    • Augmented reality can enhance experiences like finding family members on a cruise.
    • Computer vision could help manage family schedules and paperwork.
    • Virtual try-on technology is evolving and becoming more accessible.
    • Fashion retailers can benefit from AI to improve customer experiences.
    • The importance of data in creating personalized shopping experiences.
    • AI can assist in managing children's clothing.
    • Smart glasses could reduce screen time and enhance real-life interactions.
    • The future of fashion may heavily rely on AI and virtual experiences.
    • Technology should bridge the gap between digital and physical realities.
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    20 m
  • AI Agents vs Model as a Service (MaaS)
    Aug 5 2025

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    In this conversation, Will and Meghan discuss the concept of Model as a Service (MaaS) versus AI agents, exploring how these technologies can enhance user experiences in various industries. They delve into the potential of virtual try-on services, the importance of leveraging existing models, and the need for businesses to focus on outcomes rather than reinventing the wheel. The discussion also touches on consumer preferences for AI solutions and the future of integrating disparate tools to create cohesive user experiences.

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    23 m
  • The Future of AI Devices
    Aug 5 2025

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    In this conversation, Will and Meghan explore the evolving landscape of AI devices, focusing on Project Mariner and its capabilities, the integration of AI in gardening, and the implications of always-on technology. They discuss trust, privacy concerns, and the potential of blockchain as a solution for data security. The conversation highlights the balance between the benefits and risks of AI, as well as the future of user interaction with these technologies.

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    22 m
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