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Computer-Use Agents and the Future of the Agentic Internet

Practical AI

Hosted by Chris Benson and Daniel Whitenack

56m
Transcript

Original podcast

Summary

Written by a model from the transcript; not yet reviewed.

In this episode, the guest Demetrius Frankman joins host Chris Benson to discuss the explosive rise of agentic AI, computer-use agents, and what the future holds for the agentic internet. The guest explains how he shifted from being a vocal skeptic of baby AI agents to fully relying on computer-use workflows for daily tasks like form filling, appointment booking, and flight management. They argue about whether the future of e-commerce will involve agents browsing the open web or interacting through specialized B-to-B agentic interfaces and marketplaces, debating the security risks and the tension between labs and open-source models. It is worth listening to for the candid, practical explorations of where agentic workflows actually succeed and fail in everyday use.

  • Try using computer-use skills to automatically fill out repetitive web forms and manage personal workflows without writing code. 18:44
  • Utilize specialized skills like ShowMe and Bro within development harnesses to force models to explain things simply or provide visual aids. 40:19
  • Anticipate a major shift toward agent-driven shopping and personal profiling as consumers increasingly rely on automated tools for purchasing. 42:11

Chapters

  1. 0:02
    Podcast Introduction and Host Greeting

    The hosts introduce the Practical AI Podcast, set the tone, and welcome listeners.

  2. 1:02
    Guest Introduction: Demetrius Frankman

    Chris Benson introduces Demetrius Frankman, highlighting his roles and background.

  3. 1:55
    Demetrius Shares Recent T-Shirt Anecdote

    Demetrius recounts a lighthearted story about a T-shirt he received from a listener.

  4. 4:41
    Agentic AI Foundation Overview

    Demetrius explains the origins of the Agentic AI Foundation and its mission.

  5. 6:00
    Community Growth and Events

    Discussion of the rapid expansion of the Agentic AI community, member count, and upcoming conferences.

  6. 11:01
    Closing Thoughts and Listener Takeaways

    Summarizing key insights, encouraging experimentation, and previewing upcoming episodes.

  7. 14:15
    Computer Use Skill Deep Dive

    Demetrius describes how the new OpenAI computer‑use skill enables agents to interact with web interfaces and automate tasks.

  8. 15:51
    Practical Use Cases for Computer Use

    Examples of automating email, flight booking, form filling, and personal data management using the computer‑use skill.

  9. 21:00
    Future of Agentic E‑Commerce and Payments

    Speculation on how agents will replace traditional shopping interfaces, negotiate deals, and reshape payment ecosystems.

  10. 24:05
    Harnesses and Model Integration Challenges

    Demetrius discusses how harnesses blur into models, the issues with Claude Code, and the future of model‑specific harnesses.

  11. 26:04
    Security and Enterprise Considerations

    Exploration of the risks and safeguards when deploying computer‑use in organizations and the need for robust security architectures.

  12. 50:36
    Consumer Expectations for Agentic Shopping

    The hosts discuss how consumers envision agents handling their shopping needs with personalized, efficient service.

Highlights

  • 13:15

    From Naysayer To Full Believerstory

    The guest shares how he used to spend 80 dollars on recursive loops with early agents and doubted their utility, but now fully relies on modern computer-use models for his daily tasks.

  • 13:47

    The Shift To Personal Computer Useinsight

    The guest describes how latest model updates allow agents to reliably handle personal tasks across multiple email and Slack accounts without manual API configurations.

  • 18:44

    Automating Online Forms And Bookingsstrategy

    The guest explains how computer-use skills allow agents to fill out tedious web forms, book appointments like a driver's license update, and manage check-ins autonomously.

  • 21:08

    B-to-C Versus Enterprise Automationdebate

    The speakers discuss the contrast between how easily consumers can adopt computer-use agents versus the extreme security risks and access control challenges of deploying them in B-to-B environments.

  • 26:18

    The Security Nightmare Of Automationinsight

    The guest highlights the inherent security dangers of letting computer-use agents loose across multiple corporate email accounts and enterprise resource planning systems.

  • 34:45

    The Blurring Of Harness And Modelinsight

    The guest explains how prompt engineering, system instructions, and native harnesses are increasingly being merged directly into the underlying models during reinforcement learning.

  • 48:15

    Agentic Shopping And The Open Webdebate

    The speakers debate whether the future of e-commerce will rely on agents browsing existing consumer websites or shift entirely toward agent-to-agent negotiations and proprietary marketplaces.

Quotes

  • “There are very few things that I can throw at it that it does not accomplish, which is wild because, okay, so now”
    Unnamed speaker · 14:34
  • “I just say, find me the best flight on this day to this day.”
    Unnamed speaker · 16:13
  • “And then you know that that pressure is going to start building on the software that we have”
    Unnamed speaker · 25:30
  • “And we were, there was a lot of people that were just early adopters and they were very early on that and using it.”
    Unnamed speaker · 28:32
  • “Like the chat is the new browser in a way.”
    Unnamed speaker · 42:09
  • “out for my interests and they have learned me very, very well.”
    Chris Benson · 51:03
  • “what you just mapped out, where it knows us better than we know ourselves, right?”
    Unnamed speaker · 52:11
  • “I, and I think it's worth talking about because things are happening so much faster than anyone's”
    Chris Benson · 54:29
  • Practical AI Podcast 0:32–0:35

About this episode

Longtime followers of Practical AI know that multi-repeat guest and friend Demetrios Brinkmann combines brilliant insight and playful banter into one fun-filled show, and this conversion with Chris was no different. They had a blast! As AI agents become more capable of using computers, interacting with software, and taking action on behalf of users, what does that mean for the way we work and interact with the internet? Chris and Demetrios explore computer-use agents, MCP, agent harnesses, agent-to-agent interactions, and prognosticate the emerging possibilities around agentic commerce. They also discuss how these tools are already being used to automate everyday tasks, the challenges of bringing computer-use agents into enterprise environments, and how the relationship between models and agent harnesses is evolving. In fact, they had so much fun that their conversation continued long after the show was over, but we didn’t get that here. 🤷‍♂️ Featuring: Demetrios Brinkmann – LinkedIn https://www.linkedin.com/in/dpbrinkm/Chris Benson – Website https://chrisbenson.com/, LinkedIn https://www.linkedin.com/in/chrisbenson, Bluesky https://bsky.app/profile/chrisbenson.bsky.social, GitHub https://github.com/chrisbenson, X https://x.com/chrisbensonLinks: Agentic AI Foundation https://aaif.io/MLOps Community https://mlops.community/AGNTCon + MCPCon https://events.linuxfoundation.org/agntcon-mcpcon-north-america/?utm_campaign=43369003-AGNTCon-MCPCon-NA-2026&utm_source=MEDIA25&utm_medium=MediaPartners – the Agentic AI Foundation’s flagship conferenceSponsors: Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsResources and Events: Register for upcoming webinars here https://practicalai.fm/webinars! Prior Webinars from our partner Prediction Guard https://www.youtube.com/playlist?list=PLRpRdFmBfdF6boDgAD3nNaLm8Yx4KN2VtMidwest AI Summit 2026 https://midwestaisummit.com/

Transcript

0:00
56:01

9,956 words · 4 speakers

Speaker names marked are inferred from speaking time and the show’s known hosts — they are not voice-verified.

Topics

  • Amazon
  • OpenAI
  • LinkedIn
  • Shopify
  • Blue Sky
  • Prediction Guard
  • Breakmaster Cylinder

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