Beyond the Chatbot: The Architecture of OpenClaw
Most "agents" are just LLM wrappers. OpenClaw is an operating system for labor.
The market is flooded with "AI Agents." You type a prompt, it gives you text. That is a toy.RunShift is built on OpenClaw because we needed something that could work while we slept.
1. Semantic Snapshots™
Traditional autonomous agents use "Computer Vision" to look at websites. They take a screenshot, send it to GPT-4V, and ask "Where is the button?" This is slow, expensive, and fragile.
OpenClaw uses ARIA Trees (Accessibility Data). It "feels" the website structure instead of looking at it. The result? 95% cost reduction and execution speeds that rival human reflex.
2. Lane-Based Concurrency
Why do we have 19 agents? Because a single-threaded agent is a bottleneck. OpenClaw's "Lane" architecture allows Marcus (Executive) to plan strategy in Lane 1, while Hunter (Scout) scrapes 500 job posts in Lane 2.
They never block each other. They just execute.