Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
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Learn how to use the Vercel AI SDK to build real-time streaming AI interfaces. Covers the useChat hook, server-side streaming, tool calling with generative UI, and multi-provider support in Next.js applications.
Learn how to build AI agents using the Mastra framework. This guide covers project setup, agent definition with typed tools, persistent memory, workflow orchestration, and deployment strategies for TypeScript-first agent applications.
Master Zod for building type-safe AI agent tools. Learn how to define schemas for tool inputs, validate LLM-generated arguments, parse structured outputs, and handle validation errors gracefully in TypeScript agent applications.
Learn how to build full-stack AI agent applications using Next.js API routes. Covers streaming responses, middleware for authentication, edge runtime considerations, conversation persistence, and production patterns for server-side agent logic.
Learn how to test AI agent applications in TypeScript. Covers Vitest setup, strategies for mocking LLM responses, snapshot testing for agent outputs, deterministic tool testing, and CI integration for reliable agent test suites.
Build an AI-powered Discord bot that acts as a server assistant using TypeScript. Covers discord.js setup, slash command registration, conversation context management, tool integration, and permission-based access control.
Deep dive into TypeScript streaming patterns essential for AI applications. Learn ReadableStream construction, TransformStreams for processing, async iterators for consumption, Server-Sent Events for browser delivery, and backpressure handling.
A practical guide to deploying TypeScript AI agents in production. Compare Vercel serverless, Railway containers, and Docker self-hosted strategies. Covers environment configuration, scaling, health checks, monitoring, and cost optimization.
