π±οΈLearn Computer-Use and Browser Agent Patterns
Separate vision, plan, action, and verification so browser-agent failures stop feeling like 'the agent broke' and start being attributable. By the end, you'll map a real workflow you'd hand to a computer-use agent and predict the exact steps that will be brittle.
Phase 1Why Computer-Use Agents Suddenly Work
See why text-only agents stalled before vision and click APIs
Text-only agents weren't broken β they were blindfolded
6 minText-only agents weren't broken β they were blindfolded
Every agent run is four jobs stacked on each other
6 minEvery agent run is four jobs stacked on each other
Pixels are an unreliable narrator β and that's the whole problem
6 minPixels are an unreliable narrator β and that's the whole problem
A click at (x, y) is a contract you didn't write
6 minA click at (x, y) is a contract you didn't write
Phase 2Walk One Task Through Perceive, Plan, Act, Verify
Walk one task through perceive, plan, act, verify
Choose a task small enough that you can name every screen
6 minChoose a task small enough that you can name every screen
Write the agent's eyes before you write its brain
7 minWrite the agent's eyes before you write its brain
A planner is just a function from screen + goal to next step
7 minA planner is just a function from screen + goal to next step
Acting is grounding β pick the most structured target you can
7 minActing is grounding β pick the most structured target you can
If you don't verify, the agent will happily march past errors
7 minIf you don't verify, the agent will happily march past errors
Phase 3DOM vs Pixels, Grounding, Undo, and Human Handoff
Compare DOM and pixel browsing, grounding, and human handoff
DOM-first, pixels-fallback β and never the other way around
7 minDOM-first, pixels-fallback β and never the other way around
Set-of-marks looks magic β until the marks go stale
7 minSet-of-marks looks magic β until the marks go stale
Undo isn't a feature β it's a precondition for autonomy
7 minUndo isn't a feature β it's a precondition for autonomy
A great agent knows when to ask, not just when to act
7 minA great agent knows when to ask, not just when to act
Phase 4Map a Real Workflow and Predict the Brittle Steps
Map a real workflow and call out the brittle steps
Map a real workflow you'd hand to a browser agent β and call out the brittle steps
18 minMap a real workflow you'd hand to a browser agent β and call out the brittle steps
Frequently asked questions
- What's the difference between a computer-use agent and a browser agent?
- This is covered in the βLearn Computer-Use and Browser Agent Patternsβ learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
- Why do computer-use agents misclick even when the screenshot looks right?
- This is covered in the βLearn Computer-Use and Browser Agent Patternsβ learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
- Should I use DOM-based browsing or pixel-based browsing for my workflow?
- This is covered in the βLearn Computer-Use and Browser Agent Patternsβ learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
- How do I tell which step in an agent run actually broke?
- This is covered in the βLearn Computer-Use and Browser Agent Patternsβ learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
- When should a browser agent ask a human instead of pushing through?
- This is covered in the βLearn Computer-Use and Browser Agent Patternsβ learning path. Start with daily 5-minute micro-lessons that build from fundamentals to hands-on application.
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