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

OpenClaw Skill Usage Tracker: Monitor Which Skills You Actually Use
A developer built a tool to track OpenClaw skill usage analytics, including invocation counts, breakdowns by agent and channel, and top skill rankings over different time periods.

Using pre-commit to improve AI-generated code quality and security
A developer shares their pre-commit configuration for Go and Java projects, using tools like golangci-lint, govulncheck, and checkov to catch vulnerabilities and quality issues in AI-generated code before commit.

Quanta-SDK v0.9.2 adds MCP server for quantum circuit execution via AI agents
Quanta-SDK v0.9.2 now includes an MCP (Model Context Protocol) server that provides AI agents like Claude or GPT with tools to execute and interpret quantum circuits. The server offers over 20 tools including circuit execution on IBM hardware, result interpretation, noise analysis, and quantum financial pricing.

Local 35B MoE Model Drops Agent OS Code Failure Rate to 0%
A developer reports that switching a multi-agent system's runtime to Qwen 3.6 35B A3B (MoE, 3B active params) eliminated code failures, achieving 100% success rate through a 5-layer validation gate.