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Parker RexAugust 30, 2025

We're Not Ready for What AI Browser Agents Will Do Next

Exploring AI browser agents: Claude vs Gemini, a Chrome extension demo, and how these tools affect thinking vs execution in real tasks.

Show Notes

Claude’s Chrome browser extension from Enthropic is shipping agent-style capabilities directly in your browser. I got early access and ran it through hands-on tests to see what it can do, where it shines, and where it struggles.

What this extension is and how it works

  • Agent-style browser tool: interacts with pages, reads content, navigates, and can perform actions (e.g., add items to a cart).
  • Permissions and controls:
    • Settings provide a list of websites the extension can access.
    • Skip permissions option lets you handle actions selectively.
    • Clear chat button and a visual “yellow outline” cue indicate active elements.
  • Real-time behavior:
    • It can read on-page content (e.g., lists of tweets or news items) and generate outputs or actions from it.
    • It may need to interpret page structure (e.g., “most popular” item) to decide what to do, which isn’t always deterministic.

Demos and observed behavior

  • Reading and summarizing a feed:
    • Read a curated list of news items or tweets and return three helpful stories.
  • Converting feedback into tasks:
    • Summarizes feedback and sketches action items (e.g., items could become tasks in Google Docs).
  • Email/workflow automation:
    • Unsubscribe from unwanted email chains with a single command.
  • E-commerce/task automation:
    • Find restaurants and add items to a cart; in one demo, it added four workbooks for $50 after navigating pages and using image cues.
    • Noted friction when the extension interpreted on-page elements differently (e.g., cart location) and pressed multiple times in the cart.
  • YouTube/channel action demo:
    • Navigate to Parker Rex’s YouTube channel and perform like/subscribe actions as a demonstration (to show cross-page task handling).
  • Limitations surfaced in practice:
    • Page interpretation can be brittle if the needed element isn’t clearly identifiable (e.g., “most popular” area).
    • Views of its on-page reasoning can be truncated; you don’t always get a full readout of what happened.
    • Latency: the extension tends to pause ~3 seconds after actions, which can slow complex tasks.
    • Some tasks require navigating login flows or more complex interactions; not all sites are equally friendly to agent-driven actions.
  • Platform scope:
    • At the time of recording, not synced to iPhone yet; Chrome extension is the primary surface.

Use cases and how to approach them

  • Practical task types to offload:
    • Content curation: read a feed, extract top stories, and summarize.
    • Email hygiene: unsubscribe from long email threads.
    • Product research: read product pages, identify an item of interest, and add to cart (with caveats about cart location and page structure).
    • Calendar-assisted actions: find available times and suggest scheduling, though some steps may require manual confirmation.
  • How to choose tasks:
    • Start with low-friction, repeatable tasks that don’t require sensitive logins.
    • Ask: what task do you hate doing the most? Offload that first to measure payoff.
  • Strategy for more complex workflows:
    • Use the agent for the high-volume, repetitive bits (reading, filtering, basic navigation), while you keep control of high-stakes steps (login, payment, sensitive account actions).
    • Consider pairing models: some tasks could be split—use a thinking-capable model for planning and Claude for execution (your mileage may vary; the audience discussion on GPT-5 vs Claude is open).

Practical takeaways and how to evaluate

  • Start small and iterate:
    • Pick a few low-friction tasks (e.g., summarize a news list, extract three stories, unsubscribe from a test thread) and gauge reliability and latency.
  • Observe limits:
    • Be mindful of page structure reliability and the occasional need to adjust prompts for “most popular” or similar cues.
    • Expect 3-second pauses between actions; plan tasks accordingly.
  • Privacy and safety notes:
    • The extension can scrape information and perform cross-page actions; use permissions thoughtfully and avoid actions requiring sensitive credentials.
  • What to test next:
    • Read a feed and generate a concise output.
    • Identify a product page’s top item and attempt a safe add-to-cart flow on non-sensitive pages.
    • Test cross-page actions like visiting a channel and liking/subscribing to a video.
    • Explore how it handles “skip permissions” to limit where it acts.

Final thoughts

This early-access look shows real potential for browser-based agents to tackle repetitive tasks at the page level, but it’s clearly a work in progress. The real value will come from how reliably it can interpret pages, manage permissions, and handle more nuanced flows without getting stuck or misclicking.

Next steps and audience questions

  • How do you plan to use a browser agent in your daily workflow? What tasks would you offload first?
  • Do you prefer using Claude for execution and another model for higher-level thinking, or vice versa?
  • What sites or workflows would you like to see tested next to stress-test the extension?