A recent tutorial from the DEV Community shows how to embed an AI agent into a React application. Unlike a chatbot, the agent reads the app’s state and can create records, update data, or trigger workflows. The guide walks developers through installation, integration, and configuration.

To get started, developers run `npm install @inappai/react`, then drop the `<InAppAI>` component into their UI. The component supports several display modes—popup, sidebar, inline, fullscreen, modal, or hidden—allowing teams to match the agent’s look to their design and user experience consistency across platforms without extra.

The tutorial demonstrates a task‑manager example where the agent can create, list, complete, and delete tasks via natural‑language commands. Each action maps to a tool—a function that receives parameters, updates state, and returns a concise response to the user and feedback for future iterations.

Beyond the browser, the agent connects to InAppAI’s backend, where developers configure AI provider routing, rate limiting, usage tracking, and CORS. The platform also offers Retrieval‑Augmented Generation, letting the agent pull answers from documentation or knowledge bases, enhancing support and productivity for enterprise applications today.