Tutorials

In this tutorial, we will demonstrate how easy it is to create an AI assistant for React Native using Stream Chat. As an example, we will leverage the StreamChat integration with Vercel's AI SDK; however, developers are free to use whichever LLM provider they like and still benefit from Stream's rich UI support for Markdown, tables, code samples, charts etc.

In this tutorial, we will demonstrate how easy it is to create an AI assistant for iOS using Stream Chat. In this example, we will use the Stream Chat integration with Vercel's AI SDK; however, developers are free to use whichever LLM provider they like and still benefit from Stream's rich UI support for Markdown, tables, code samples, charts etc.

In this tutorial, we will demonstrate how easy it is to create an AI assistant for Android using Stream Chat. In this example, we will use the Stream Chat integration with Vercel's AI SDK; however, developers are free to use whichever LLM provider they like and still benefit from Stream's rich UI support for Markdown,

In this tutorial, we will demonstrate how easy it is to create an AI assistant for React using Stream Chat. As an example, we will leverage the StreamChat integration with Vercel's AI SDK; however, developers are free to use whichever LLM provider they like and still benefit from Stream's rich UI support for Markdown, tables, code samples, charts etc. To

Creating AI agents can be tricky. Users today expect a high level of polish from their apps, and features like streaming responses, table components, thinking indicators, charts, code and file components, etc. can be hard to implement across different platforms. To simplify this process for developers, we're introducing new components and libraries to make your

We released support for Google's new Gemini 3 models inside Vision Agents — the open-source Python framework for building real-time voice and video AI applications. In this 3-minute video demo, you'll see how to spin up a fully functional vision-enabled voice agent that can see your screen (or webcam), reason with Gemini 3 Pro Preview,

This tutorial demonstrates how to build an electronic device setup and repair assistant in Python with voice capabilities using Qwen3-VL hosted on Baseten. The assistant analyzes what a user shows on camera (like cables, ports, device components, or error states) and guides them step-by-step through setup or repair tasks. It’s designed to reduce confusion during

Large Language Models (LLMs) have been improving recently and are often used for building conversational applications for speech and transcription. From answering location-based questions to managing a work calendar, voice AI assistants are becoming an everyday part of both personal and professional life. In this tutorial, we’ll take those same technologies a step further, using