OpenClaw Developer Achieves AI Agent Breakthroughs with Uber and Restaurant Booking Automation

An OpenClaw developer has made significant progress in browser automation, moving beyond the limitations that previously blocked AI agents from interacting with real websites. The developer has successfully created agents that can autonomously complete complex tasks on live sites without scripted demos.
What Actually Works Now
The developer has achieved successful completion of full flows on two major platforms:
- Uber: The agent opens the app, enters pickup and destination locations, selects ride type, and reaches the confirmation screen
- Restaurant booking: The agent finds a restaurant, fills out reservation forms, and confirms bookings
These aren't scripted demonstrations. The agents navigate real websites, handle dynamic elements, and successfully bypass bot detection systems.
Current Technical Stack
The working solution consists of several integrated components:
- Stealth browser with persistent profiles and fingerprinting
- Residential proxy routing
- CAPTCHA solving integration
The developer notes this is functional but not yet a polished product—it's currently "a bunch of pieces duct-taped together that require manual setup."
Development Direction and Community Input
The developer wants to transform this proof-of-concept into something usable by any OpenClaw user, but is seeking community feedback before building the "ideal" version. The long-term vision is "install a skill, your agent gets a full browser environment with your saved sessions, and it can go do things on the web autonomously."
For immediate development, the developer is asking the community specific questions:
- What specific automation tasks have failed due to browser limitations?
- What sites/services do you wish your agent could use? (Uber, Airbnb, LinkedIn, government portals, food delivery, etc.)
- What format would be most useful right now?
The developer presents several format options for community consideration:
- a) An OpenClaw skill that gives your agent a stealth browser
- b) A standalone tool you run on a VPS and connect your agent to
- c) A desktop browser app that handles anti-detection, sessions, and fingerprinting out of the box
- d) Just a setup guide so you can wire the pieces together yourself
- e) Something else
The developer also asks whether users would accept a VPS requirement or need local machine functionality.
📖 Read the full source: r/openclaw
👀 See Also

Claude Desktop App Cowork Function Enables AI-to-AI Communication via Shared Google Docs
Users successfully implemented Claude-to-Claude communication using the new cowork function in the desktop app, with two AI agents reading and writing to a shared Google Doc in a structured five-exchange dialogue.

Claude-ETA Plugin Adds Task Timing and Repair Loop Detection to Claude Code
Claude-ETA is a Claude Code plugin that times tasks, learns your actual velocity, and feeds real data back into Claude before it responds. It also detects repair loops by fingerprinting error content and intervenes after three identical failures.

Open-source Claude Code plugin captures books and converts them to structured Markdown
A developer has open-sourced a Claude Code plugin that automatically captures book pages via screenshots, performs OCR with macOS Vision, and generates structured Markdown files organized by theme rather than chapter order. The tool supports Kindle, Apple Books, Kindle Cloud Reader, and scanned PDFs on macOS.

Found-Issues plugin logs bugs Claude ignores while working on other tasks
A Claude Code plugin that writes one-line entries to docs/found-issues.md when the agent spots bugs outside scope, with auto-closure on PR merge and tombstone detection.