Topic
Building AI apps with the Vercel AI SDK - streaming, tool calling, and multi-provider support.
16 resources - 15 posts, 1 tool

AI SDK 7 turns Vercel's TypeScript AI layer into a more serious agent runtime: typed tool context, WorkflowAgent durability, approvals, telemetry, realtime voice, and a cleaner migration path from AI SDK 6.

A hands-on, beginner-friendly walkthrough of building an AI agent with Vercel eve: scaffold the project, define an agent and a typed tool with defineTool, run it locally, call it through the durable session and stream API, and deploy to Vercel Functions.

At Vercel Ship 26 in London on June 17, 2026, Vercel shipped a wave of agent-era tooling: the open-source eve agent framework, Vercel Drop for drag-and-drop deploys with no Git or CLI, spend caps for AI Gateway API keys, and the HarnessAgent API in AI SDK 7 that unifies Claude Code, Codex, and Pi behind one interface.

Vercel launched eve at Ship 26, an open-source agent framework it calls Next.js for agents. You define each agent as files under an agent/ directory, and eve compiles it into a production app on Vercel Functions with durable execution, sandboxes, approvals, subagents, and evals built in.

Four mature, production-ready TypeScript frameworks have made building agents genuinely enjoyable. Here is how to pick the right one - and how they fit together.

AI SDK 6 ships ToolLoopAgent and full MCP support. LangGraph hits 1.0 GA with durable state and built-in interrupt/resume. Here is how to choose between them for your TypeScript team.

The TypeScript patterns that show up in every AI project. Streaming responses, type-safe tool definitions, structured output, retry logic, and more.
A step-by-step guide to building AI agents that actually work. Choose a framework, define tools, wire up the loop, and ship something real.

AI agents use LLMs to complete multi-step tasks autonomously. Here is how they work and how to build them in TypeScript.

A practical guide to building AI agents with TypeScript using the Vercel AI SDK. Tool use, multi-step reasoning, and real patterns you can ship today.

Two popular frameworks for building AI apps in TypeScript. Here is when to use each and why most Next.js developers should start with the AI SDK.

The definitive full-stack setup for building AI-powered apps in 2026. Next.js 16, Vercel AI SDK, Convex, Clerk, and Tailwind - why each piece matters and how they fit together.

The AI SDK is the fastest way to add streaming AI responses to your Next.js app. Here is how to use it with Claude, GPT, and open source models.

How RAG works, why it matters, and how to implement it in TypeScript. The technique that lets AI models use your data without fine-tuning.

Composio is a tool infrastructure layer that connects AI agents to Gmail, GitHub, Slack, Google Calendar, and hundreds more apps - all auth handled for you. Here is how to set it up and start building real cross-app workflows.
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