Tutorials

Drive-thru ordering is a deceptively hard real-time problem. Background noise, interruptions, fast-paced conversations, and the need for low-latency responses all push traditional voice systems to their limits. Modern speech-to-speech models change that equation by making natural, interruptible conversations possible without stitching together separate STT, LLM, and TTS pipelines. In this tutorial, you’ll create a real-time

Google's Gemini 3, released November 18, 2025, gives you multimodal reasoning and tool-use for building response-accurate AI applications. Let's combine it with Decart AI and other leading LLM services to turn casual voice commands into artistic live video style changes, no extra scaffolding required. Pair it with Decart AI's Mirage LSD, the first live-stream diffusion

DeepSeek recently released a powerful new model, DeepSeek-V3.2, that's now instantly accessible via OpenRouter. In under 5 minutes, you can turn it into a real-time, voice-enabled math and physics agent that not only solves problems but also explains its reasoning out loud. DeepSeek's latest open-source reasoning and agent-AI model, V3.2, leverages the new DeepSeek Sparse

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