> ## Documentation Index
> Fetch the complete documentation index at: https://tbd-6fc993ce-hypeship-docker-sandboxes-integration.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Tzafon

Northstar CUA Fast is [Tzafon's](https://www.tzafon.ai/) vision language model trained with reinforcement learning for computer use tasks. It implements a CUA (computer use agent) loop that predicts browser actions from screenshots, enabling AI agents to interact with web interfaces.

The model is accessed via Tzafon's [Lightcone](https://docs.lightcone.ai/) API platform. By integrating Tzafon with Kernel, you can run these AI-powered browser automations on cloud-hosted infrastructure using Kernel's Computer Controls API, eliminating the need for local browser management and enabling scalable, reliable AI agents.

## Quick setup with our Tzafon example app

Get started quickly with our Kernel app template that includes a pre-configured Tzafon Northstar CUA Fast integration:

```bash theme={null}
kernel create --name my-tzafon-app --template tzafon
```

Choose `TypeScript` or `Python` as the programming language.

Then follow the [deploy](/apps/deploy) and [invoke](/apps/invoke) guides to deploy and run your Tzafon automation on Kernel's infrastructure.

## Benefits of using Kernel with Tzafon Northstar CUA Fast

* **No local browser management**: Run Northstar CUA Fast automations without installing or maintaining browsers locally
* **Scalability**: Launch multiple browser sessions in parallel for concurrent AI agents
* **Stealth mode**: Built-in anti-detection features for reliable web interactions
* **Session state**: Maintain browser state across runs via [Profiles](/auth/profiles)
* **Live view**: Debug your Tzafon agents with real-time browser viewing
* **Cloud infrastructure**: Run computationally intensive AI agents without local resource constraints

## Next steps

* Check out [live view](/browsers/live-view) for debugging your automations
* Learn about [stealth mode](/browsers/bot-detection/stealth) for avoiding detection
* Learn how to properly [terminate browser sessions](/browsers/termination)
* Learn how to [deploy](/apps/deploy) your Tzafon app to Kernel
* Read the [Lightcone API documentation](https://docs.lightcone.ai/) for model details