How to Deploy Your Own AI Assistant with OpenClaw: Step-by-Step Tutorial
A comprehensive tutorial on deploying your own AI-powered assistant using OpenClaw. Covers infrastructure, model selection, security, and best practices for production deployment.
Deploying an AI assistant has traditionally been a complex undertaking. You need to pick a cloud provider, configure containers, set up networking, handle SSL certificates, manage secrets, and keep everything updated. OpenClaw eliminates all of that.
This tutorial walks you through deploying a production-ready AI assistant from start to finish.
Understanding the Architecture
Before diving in, it helps to understand how OpenClaw works under the hood:
- Compute layer — Each instance runs as an isolated Fly Machine with dedicated CPU, memory, and persistent storage
- Network layer — Automatic HTTPS with TLS certificates, deployed to the nearest edge region
- Security layer — API keys encrypted with AES-256, row-level database security, isolated containers
- AI layer — Direct connections to Anthropic and OpenAI APIs from your instance
Complete Deployment Steps
1. Create Your OpenClaw Account
Visit the sign-in page and authenticate with your Google account. OpenClaw uses Google OAuth 2.0 for secure, passwordless authentication.
2. Configure Your AI Provider
Navigate to Dashboard → API Keys and add your credentials:
For Anthropic Claude:
- Go to console.anthropic.com
- Create an account or sign in
- Navigate to API Keys and generate a new key
- Copy the key (it starts with
sk-ant-) and paste it in OpenClaw
For OpenAI GPT:
- Go to platform.openai.com/api-keys
- Sign in to your OpenAI account
- Click “Create new secret key”
- Copy the key (it starts with
sk-) and paste it in OpenClaw
For more details, see our comprehensive API key documentation.
3. Select Your AI Model
OpenClaw supports several leading AI models. Here’s a quick comparison:
| Model | Provider | Best For | Speed | Cost |
|---|---|---|---|---|
| Claude Sonnet 4.5 | Anthropic | General use (recommended) | Fast | Medium |
| Claude Opus 4.6 | Anthropic | Complex reasoning & analysis | Moderate | Higher |
| Claude Haiku 4.5 | Anthropic | Quick responses, high volume | Very fast | Low |
| GPT-4.1 | OpenAI | Strong general-purpose | Fast | Medium |
| GPT-4.1 Mini | OpenAI | Budget-friendly option | Very fast | Low |
Read our detailed model selection guide for a deeper comparison.
4. Deploy
Click the Deploy button. Behind the scenes, OpenClaw:
- Creates an isolated Fly Machine in the optimal region
- Attaches persistent storage for your instance data
- Injects your encrypted API keys securely
- Configures HTTPS with automatic certificate management
- Starts your AI assistant and verifies it’s healthy
You’ll see real-time deployment progress in your dashboard.
5. Verify Your Deployment
Once deployed, your instance status will show “Running” with a green indicator. Test your AI assistant by sending it a message directly from the dashboard.
Production Best Practices
Security
- Rotate your API keys periodically (every 90 days is a good practice)
- Use a dedicated API key for your OpenClaw instance — don’t share it with other services
- Enable two-factor authentication on your Anthropic and OpenAI accounts
Cost Management
- Start with Claude Haiku 4.5 or GPT-4.1 Mini for testing
- Set spending limits on your AI provider accounts
- Monitor your usage in the provider’s dashboard
Performance
- Choose the model that matches your use case — don’t default to the most expensive option
- For customer-facing bots, faster models provide a better user experience
Next Steps
Your AI assistant is live. Here’s what to do next:
- Connect your bot to Telegram for messaging access
- Explore the top 10 use cases for inspiration
- Browse the full documentation