# Set Up Workflow: OpenClaw 2026.3.7-beta.1: Agentic Framework Update with Nvidia Integration
## What This Is
OpenClaw's latest update introduces powerful new agent capabilities, including team collaboration and self-improvement features. Through a major partnership with Nvidia, it now offers enterprise-grade security and scalability, making it easier to build and deploy reliable AI assistants for business automation.
Source: https://www.nextplatform.com/ai/2026/03/17/nvidia-says-openclaw-is-to-agentic-ai-what-gpt-was-to-chattybots/5209428
## 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://www.nextplatform.com/ai/2026/03/17/nvidia-says-openclaw-is-to-agentic-ai-what-gpt-was-to-chattybots/5209428) 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 Workflow** — an end-to-end automation pattern or integration pipeline.
- Study the workflow architecture from the source and context below
- Identify which parts I can implement locally vs. parts that need external services
- For local parts: implement them using my existing stack and API keys
- For external parts: tell me exactly what services I need and help me configure the integration code
- Wire up any required API calls using keys from my .env files
## Additional Context
- Scan the user's project to identify the package manager (npm, yarn, pnpm) and install or update the OpenClaw framework to the latest version: `npm install openclaw@latest`.
- Locate or create a configuration file (e.g., `openclaw.json` or `.js` config) and scaffold a basic agent setup. Check the user's `.env` for `OPENAI_API_KEY` or `ANTHROPIC_API_KEY`, populate the agent configuration with the found key, and if none exist, add a placeholder and instruct the user.
- Create a new TypeScript file (e.g., `src/automation-agent.ts`) and implement a basic agentic workflow for a GTM task, such as scraping a URL for marketing keywords, using the newly installed OpenClaw primitives for perception and action.
## 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