# Apply Technique: OpenCLAW: Architectural Guide and B2B Use Cases
## What This Is
OpenCLAW is a personal AI assistant framework that can be adapted for business process automation, such as cleaning CRM data or handling support tickets. It's designed for a single user rather than large teams, so secure deployment is critical for business applications.
Source: https://vallettasoftware.com/blog/post/openclaw-2026-guide
## Before You Start
Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)
Then ask me before proceeding:
1. Which AI provider/API should this use? (Use whatever I already have configured, or ask me to set one up — options include direct provider APIs or a unified service like OpenRouter)
2. Where in my project should this be integrated?
3. Are there any customizations I need (model preferences, naming conventions, constraints)?
## Source Access Note
The source URL (https://vallettasoftware.com/blog/post/openclaw-2026-guide) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.
## What to Implement
This is an **AI Technique** — a pattern or methodology for working with AI models.
- Explain how this technique applies to my current project and what benefit it provides
- Implement it in a way that fits my existing codebase — suggest concrete files to modify or create
- If it requires specific model capabilities (structured output, function calling, etc.), verify my current provider supports them
- Show me a working example I can test immediately
## Additional Context
- Locate the official OpenCLAW framework repository on GitHub and clone it into the user's current project directory.
- Generate a default configuration file for the Gateway component, ensuring it is bound to localhost for security and not exposed publicly. Create separate workspace directories for personal and business automation.
- Configure the Brain component by scanning the user's .env file for existing LLM provider API keys (Ollama, Anthropic, OpenAI) and setting one as the primary model. If no key is found, prompt the user to add one.
## Guidelines
- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it