> For the complete documentation index, see [llms.txt](https://docs.bonzai.sh/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bonzai.sh/readme.md).

# Welcome

BonzAI helps people use AI without giving up ownership of their work.

Most AI products ask you to send prompts, files, images, business ideas, and training data to someone else's servers. BonzAI takes the opposite path: chat, generate, capture, train, automate, mint, and earn from your own machine first.

## The Problem BonzAI Solves

AI is becoming the new creative and operational layer of the internet, but most users are stuck with a bad tradeoff:

* Use powerful cloud tools and give up privacy, control, and upside.
* Download a local model and get privacy, but no product workflow, no ownership layer, no revenue system, and no way to turn work into reusable assets.

BonzAI fills that gap. It gives users a private AI workspace, a browser assistant, a desktop studio, autonomous companions, company automation, dataset/training tools, and an onchain economy for ownership and rewards.

## The Three Products

| Product            | Plain-English purpose                                                                                                                                                      |
| ------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **BonzAI Web**     | Try BonzAI in the browser, learn what the product does, and get the right download or extension link.                                                                      |
| **BonzAI+**        | A browser assistant that can chat about pages, capture text/images, follow videos, generate images, and build datasets from the web.                                       |
| **BonzAI Desktop** | The full local AI studio: generate text/images/audio/video/3D, train with datasets, mint assets, run companions, form Zero-Human Companies, and join the provider economy. |

## What You Can Do With BonzAI

* Chat privately with local AI.
* Generate images, audio, music, video, and 3D scenes.
* Capture useful text and images while browsing.
* Turn captured material into datasets.
* Import datasets into Desktop for training and fine-tuning.
* Mint generated content as ownable assets.
* Create autonomous AI companions with wallets and onchain identity.
* Launch companion and model tokens.
* Form Zero-Human Companies that plan, assign, execute, review, and log work.
* Share compute as a provider and earn from service-time rewards.

## Why BONZAI Exists

BONZAI is not a paywall for basic generation. It coordinates ownership and rewards around useful AI work:

* Who made this?
* Who captured or curated the data?
* Who trained or evaluated it?
* Who served the compute?
* Who owns the resulting asset?
* Who should earn when it is used?

That is the larger idea behind BonzAI: private AI that can become ownable, reusable, and economically meaningful.

## Start Here

* New users: [Product Suite](/products/products.md)
* Real examples: [Scenario Map](/user-scenarios/user-scenarios.md)
* Desktop automation: [Zero-Human Company](/products/zero-human-company.md)
* Rewards and claims: [Reward Structure & Epochs](/web3-and-onchain-economy/reward-structure.md)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.bonzai.sh/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
