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WindowAI
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WindowAI Verified Tool

Personalized chatbot experience on the web.

Last Update: August 18, 2026

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Starting price Free

Tool Information

Window.ai is a tool that allows users to implement their own AI models on the web without requiring a backend. With this tool, developers can build apps that enable users to choose their preferred AI model. The Window extension gives users control over the AI models they use on the web.

Starting price: Free. Features, limits, credits, seats, billing periods, taxes, regional availability, and promotions can change, so confirm the current official checkout or sales quote.

Browser AI access can expose page content; review provider keys permissions sensitive inputs retention and generated output.

F.A.Q (19)

WindowAI allows you to integrate with various AI models such as OpenAI, Together, Cohere, or even an AI running on your computer.

The `window.ai.generateText()` method is utilized by developers to generate text recommendations from the user's preferred AI model in their application.

Benefits of the tool include user control over AI models used on the web, integration of own AI models into web applications without a backend requirement, and a feature that keeps a history of all messages which could be used for future AI model training.

You can add the tool extension to your Chrome browser by visiting the Chrome web store and searching for the the tool extension.

Yes, you can use your own AI model using the tool. It is one of the primary features of the tool.

With the tool, you as the user can control which AI models you use on the web. You have the flexibility to choose from a range of models like OpenAI, Together, Cohere, or even your own AI model.

Yes, the tool can be integrated into all your web apps as it allows developers to implement their own AI models on the web without requiring a backend.

The purpose of the tool keeping a history of all messages is to enable you to use this data to train your own AI models.

The tool's message history feature helps in training your own AI models by providing you with a rich corpus of real-world conversational data that your AI model can learn from.

Yes, there is a community for the tool users. You can join the community on Discord as mentioned on the the tool website.

Developers can implement the tool into their applications by adding the `window.ai.generateText()` method in their application code.

Yes, the tool can be used for building apps that facilitate users to choose their preferred AI model.

You can find API documentation for the tool on their Github page as mentioned on the website.

The tool provides privacy features by allowing you to use an AI model running on your own computer if you require privacy.

No, you do not need a backend to use the tool. It enables users to build apps or implement AI models on the web without requiring a backend.

To use the AI models with the tool in your application, you need to add the `window.ai.generateText()` method in your application's code.

The the tool extension provides functionalities like controlling the AI models you use on the web, configuring these models as per your preferences, and saving a history of all the messages you send and receive.

Users, not developers, can choose which AI model to use with apps built on the tool by selecting their preferred model from options like OpenAI, Together, Cohere or their own AI model.

Yes, you can save your conversation history using the the tool extension as it keeps a history of all the messages you send and receive.

Pros and Cons

Pros

  • Model preference selection
  • Chrome extension available
  • Backend not required
  • Message history tracking
  • API documentation available
  • Training with own messages
  • Community on Discord
  • Text generation functionality
  • User-led model configuration
  • Implemented in a single file
  • Integration with web applications
  • Accessible via 'window.ai' method
  • join the community support

Cons

  • Requires browser extension
  • Limited to Chrome
  • Potential privacy concerns
  • Limited documentation
  • Chat history used for training
  • Potential latency issues
  • Dependency on community support
  • Limited use cases

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