Guides
Practical information about the technology behind ClawStart and how to get the most out of your AI agent.
ClawStart runs on OpenClaw, an open-source AI agent framework. These guides explain what that means in practice: what OpenClaw does, how it compares to other tools, and how ClawStart wraps it into a managed service so you do not have to worry about servers and config files.
If you are already using ClawStart and want to know what your agent can actually do, the skills and MCP servers pages are more useful. These guides are more about the background: why this technology exists and how it fits into the bigger picture.
What is OpenClaw?
The open-source AI agent framework that powers ClawStart. What it does, how it works, and why it matters.
OpenClaw vs ChatGPT
One is a chatbot, the other is an agent. Feature comparison, pricing, and when to use each.
AI Agents for Business
How businesses use AI agents for support, content, research, and daily operations.
How to Build an AI Agent
Step-by-step guide to building your own AI agent without writing code. Model, tools, channel, deploy.
AI Agent vs Chatbot
Chatbots answer questions. Agents take actions. A clear breakdown with examples so you pick the right tool.
What you will find here
The "What is OpenClaw" guide is a good starting point if you have never heard of the project before. It covers the architecture, explains what agents, skills, and MCP servers are, and walks through what happens when you send a message to your agent. If you have used ChatGPT and are wondering how an AI agent is different, the comparison guide breaks that down with specific examples and a feature table.
We also have a guide on how businesses use AI agents in practice. It covers common use cases like customer support automation, content production, internal research, and daily operations. If you are trying to figure out whether an AI agent makes sense for your team, that guide has real scenarios with numbers.
Where to go next
After reading through the guides, check out the use cases to see specific examples of agents in action. Look at the skills page to see what your agent can do out of the box. And if you want to connect it to services like GitHub, Slack, or Notion, the MCP servers page has all the details. Or just create a free agent and try things yourself.