Interactive case study
6 months build window

OpenClaw

Enterprise-Grade AI Agent Gateway

Headline outcome
“Handled 50,000+ autonomous web tasks monthly with a 99.4% success rate under fallback.”
Business Outcome: Executed 50,000+ monthly browser automation tasks with 99.4% success during API gateway outages.
50K+
Monthly Web Tasks
99.4%
Success Rate
64%
Cost Reduction
TypeScriptDockerGPT-5.5PuppeteerSandboxing
OpenClaw gateway dashboard preview

Why it matters

Built a highly available agent infrastructure with security-first CODEOWNERS enforcement.

Current signal

Production

Focused delivery from architecture through working interaction model.

Mission

Why this system had to exist

I engineered OpenClaw as an enterprise-grade AI agent gateway designed to run autonomous web operations and complex lead-generation campaigns at scale. In professional environments, deploying autonomous AI agents to search the web, fill forms, or interact with external services often fails due to fragile configurations, model rate limits, or IP blocking. The setup required a highly available gateway that could route model requests dynamically and handle thousands of background browser tasks daily. The main goal was to design a resilient orchestration system that provides complete sandboxing for browser-based tasks while enforcing strict security controls, such as CODEOWNERS validation. By implementing a centralized model registry, the system was built to support next-generation models while providing seamless fallbacks to local instances. This foundation allowed enterprises to delegate automated web workloads to AI agents with absolute confidence in system uptime and safety.

Moment 01

I engineered OpenClaw as an enterprise-grade AI agent gateway designed to run autonomous web operations and complex lead-generation campaigns at scale.

Moment 02

In professional environments, deploying autonomous AI agents to search the web, fill forms, or interact with external services often fails due to fragile configurations, model rate limits, or IP blocking.

Moment 03

The setup required a highly available gateway that could route model requests dynamically and handle thousands of background browser tasks daily.

Moment 04

The main goal was to design a resilient orchestration system that provides complete sandboxing for browser-based tasks while enforcing strict security controls, such as CODEOWNERS validation.

Stage 1 of 4
Immersive sandbox
Failover Registry Gateway
API Simulator Failures:
Client
App API
GPT-5.5
Primary Endpoint
Codex
Fallback API
Click Route Payload below to start...

Architecture explorer

Select a layer to inspect the operating shape of the system.

Active layer

TypeScript Gateway Registry

Advanced model registry supporting GPT-5.5 and GPT-5.2 Codex fallbacks

This layer participates in the wider system boundary described in the story above, connecting runtime behavior, user-facing interaction, and safety constraints into one deployable stack.

Before / after transformation

The outcome is easier to feel when you switch between baseline and optimized states.

Before

Security Isolation

None (Direct host script execution)

After

Optimized resolution

Sandboxed Docker Puppeteer Containers

What shipped

Advanced model registry supporting GPT-5.5 and GPT-5.2 Codex fallbacks

Secure Docker-based browser sandboxing for autonomous web operations

Multi-platform sales engagement (Telegram, WhatsApp, SMS integration)

Automated gateway recovery with persistent host backup snapshots