02 / CASE STUDY
HUMAN-IN-THE-LOOP / BROWSER AUTOMATION
Visible Browser Agent
An AI agent that navigates the web while the user watches, intervenes, and reviews each important action.
- Playwright
- MCP
- OpenCode
- Browser Automation
Local interface study shown with sample values. This is not a live product screenshot.
The problem
Browser automation can be difficult to trust when actions happen out of sight. This concept explores a visible flow where a person can follow, pause, and review an agent's work.
Constraints
- Keep the browser state visible to the operator
- Make confirmation and intervention points understandable
- Treat the interface shown here as a local concept study, not a verified live application
Approach
The illustrative flow separates a task request, a visible browser session, and an action review. A human remains in the loop for consequential steps; the diagram and screen below are interface studies, not production telemetry.
04 / ARCHITECTURE
How the system fits together.
Illustrative flow for a human-reviewed browser-agent concept; implementation details require owner verification.
06 / INTERFACE STUDY
Keep the activity visible.
A locally constructed interface concept uses sample content only. It is here to communicate hierarchy and review states—not to imply a finished application.
Key decisions
- Represent agent activity as readable steps instead of fake code
- Keep the operator in control of pause and approval
- Label sample content so it cannot be mistaken for a live session
Result
This page demonstrates a prototype direction only. No production deployment, measured outcome, or verified automation result has been provided.
Lessons learned
- Define which actions always require approval
- Test recovery and error states with real workflows
- Publish only verified screenshots and outcomes
CONTINUE EXPLORING