"The web is full of AI assistants that appear to understand application UIs, user data, and intent. In practice, however, most of these systems operate outside the application itself. When you try to build one from scratch, you quickly run into a core limitation: large language models have no native understanding of your React state, component hierarchy, or business logic."
"CopilotKit bridges this gap with its Direct-to-LLM architecture, allowing you to expose your app's state and actions directly to language models without building custom APIs or complex orchestration layers. In this tutorial, we'll build an AI-powered playlist builder to demonstrate how CopilotKit works in practice. You'll learn how to make frontend state readable to an LLM, define actions the model can execute, and design natural language interfaces on top of existing React components."
"CopilotKit is a framework for building AI-powered features into React applications. Unlike AI chatbots that operate in isolation, CopilotKit integrates directly with your application's state and logic, allowing the AI to read your app's context and take actions. CopilotKit provides three key capabilities: Readable state: Expose your application state to the AI so it understands what's happening in your app Custom actions: Define functions that the AI can execute"
CopilotKit enables React applications to expose their state and actions directly to large language models using a Direct-to-LLM architecture. It makes frontend state readable to an LLM and allows developers to define custom actions the model can execute. The tutorial builds an AI-powered playlist builder to demonstrate making React state accessible, defining executable functions, and designing natural language interfaces on existing components. Required prerequisites include a React app, Node.js v18+, familiarity with hooks, TypeScript basics, and a Google AI API key. CopilotKit integrates AI with application logic so models can understand component hierarchy, user data, and intent and act within the app.
Read at LogRocket Blog
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