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Generative UI for Agentic Workflows
See how AI agents generate interactive React components directly in chat for agentic workflows. Learn about the callback loop and creating reusable Agent Skills.
Live demo of a production pattern where AI agents render interactive React components — forms, profile cards, video embeds — directly inline in chat instead of returning plain text. I’ll trigger real agent workflows, show the components appearing in the conversation stream, and walk through the completion callback loop where user interaction feeds back into the agent. I’ll close with how we codify these multi-step integration patterns as reusable Agent Skills to ship new tools fast.
AgentGraph builds graph architectures for orchestrating autonomous AI agent workflows.
- Vercel AI SDKThe Vercel AI SDK is the open-source TypeScript toolkit: a unified API for building AI-powered applications with LLMs from providers like OpenAI, Anthropic, and Google.This is the definitive TypeScript toolkit for building fast, reliable AI applications. The SDK provides a unified API, abstracting away provider-specific boilerplate so you can swap models—like OpenAI's GPT-4o or Anthropic's Claude 3.5 Sonnet—with a single line change. It features real-time response streaming, type-safe structured object generation via `generateObject`, and ready-to-use hooks such as `useChat` for popular frameworks: React, Next.js, and Svelte. Focus on agent logic and user experience; the SDK handles the complex, multi-provider integrations.
- NextNext.js is the full-stack React framework: it delivers high-performance web applications via hybrid rendering and powerful, Rust-based tooling.This is the React Framework for production: Next.js enables you to build full-stack web applications with zero configuration and maximum efficiency. It supports a hybrid rendering approach (Server-Side Rendering, Static Site Generation, and Incremental Static Regeneration) for optimal speed and SEO performance. Key features include React Server Components, Server Actions for running server code directly, and the App Router for advanced routing and nested layouts. Developed by Vercel, it leverages Rust-based tools like Turbopack and the Speedy Web Compiler for the fastest possible builds and a superior developer experience.
- ReactReact is an open-source JavaScript library for building dynamic user interfaces (UIs).React is a component-based JavaScript library, developed by Meta (Facebook), engineered for building fast, declarative UIs. It mandates a one-way data flow and utilizes a Virtual DOM mechanism to ensure efficient, predictable updates to the user interface. Developers construct complex UIs by composing small, encapsulated components; this architecture promotes code reusability and simplifies state management across large applications. The library employs JSX (a syntax extension) to integrate HTML-like markup directly within JavaScript logic, supporting development for both web (React DOM) and native mobile platforms (React Native).
- MastraMastra: The open-source TypeScript framework for building and scaling AI agents, featuring durable workflows, RAG, and a unified router for 40+ LLM providers (OpenAI, Gemini).Mastra is the leading open-source TypeScript framework for AI agents, launched in 2024 by Gatsby veterans Sam Bhagwat, Shane Thomas, and Abhi Aiyer. This structured platform streamlines AI engineering: it provides autonomous Agents, graph-based Workflows for complex orchestration, and RAG pipelines for grounded responses. The unified model router connects to 40+ LLM providers (e.g., OpenAI, Gemini). Backed by $13M from investors like Y Combinator, Mastra delivers production essentials: built-in Evals, Observability, and a local development playground.
- Cursor Agent SkillsCursor Agent Skills are portable, version-controlled packages that extend AI agents with specialized, on-demand capabilities using an open standard.Introduced in Cursor 2.4, Agent Skills (standardized via agentskills.io) transform your IDE from a text generator into a task executor by packaging domain-specific knowledge into SKILL.md files. Unlike static project rules, these skills load dynamically: the agent discovers them at startup and invokes them only when relevant to your current task. You can bundle executable scripts in Python or Bash, reference external documentation, or trigger custom commands like /fix-issue to automate complex workflows. From refactoring Swift concurrency patterns to generating live data dashboards, these portable modules ensure your agent acts with the precision of a domain expert (and stays in sync across your entire team via Git).
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