/// DEVELOPER GUIDE
Build Sites with
OpenClaw AI
Learn how to leverage OpenClaw agents to build websites, web apps, and digital products faster than ever. This guide walks you through the entire process from zero to deployment.
If you are exploring architectural tooling, OpenClaw stands apart from pure foundational multi-agent frameworks (read our Comparison: OpenClaw vs Langchain). Where others require intense Python orchestrations, OpenClaw provides a conversational, intent-based UI allowing you to rapidly scaffold complete React or Next.js codebases simply by talking to it through a CLI or Discord Bot.
Whether you want to build a consumer SaaS, implement web scraping tools, or design autonomous dashboards, following these structured prompting steps will yield the highest quality code output.
Step-by-Step Process
Set Up Your Environment
Install OpenClaw and configure your development environment with the necessary dependencies.
- Install Node.js 18+ or Python 3.9+
- Clone the OpenClaw repository
- Configure your API keys (Anthropic, OpenAI)
- Set up your messaging integration (WhatsApp/Telegram)
Define Your Project
Describe what you want to build clearly so the AI understands your requirements.
- Write a clear project specification
- Define the tech stack (Next.js, React, etc.)
- List the core features needed
- Specify any design requirements
Use AI Commands
Send structured commands to OpenClaw to generate code, create files, and build components.
- "Create a Next.js app with Tailwind CSS"
- "Add a contact form with validation"
- "Set up Prisma with PostgreSQL"
- "Deploy to Vercel"
Iterate & Refine
Review the AI output, request changes, and iterate until the site meets your needs.
- Review generated code for quality
- Request specific changes naturally
- Test functionality as you build
- Commit changes to version control
Supported Tech Stacks
Next.js + Tailwind
PopularPerfect for marketing sites and web apps
React + TypeScript
PopularEnterprise-grade frontend development
Astro + MDX
Content-heavy sites and blogs
SvelteKit
Fast, lightweight applications
Node.js + Express
PopularBackend APIs and services
Python + FastAPI
ML-powered backends
Best Practices
Start Small
Begin with a single component or page, then expand. Don't try to build everything at once.
Be Specific
The more detail you provide, the better the output. Include design preferences, libraries, and constraints.
Review Code
AI-generated code needs human review. Check for security issues, performance, and best practices.
Use Version Control
Commit frequently so you can roll back if the AI makes unwanted changes.
Test Continuously
Run tests after each significant change. Catch issues early before they compound.
Document Intent
Keep notes on what you asked the AI to do. This helps with debugging and onboarding.
Example Prompt
# Example: Building a Landing Page
You: Create a landing page for a SaaS product called "TaskFlow". Use Next.js 14 with TypeScript and Tailwind CSS. Include:
- Hero section with headline and CTA
- Features grid with icons
- Pricing table (3 tiers)
- FAQ accordion
- Footer with links
OpenClaw: I'll create the landing page structure. Let me start by setting up the project and components...
Explore Sites Built with OpenClaw
See what others have created and get inspired for your next project.
Browse Directory