4posts
A technical guide to Generative Engine Optimization: JSON-LD as an entity graph, typed schema markup in TypeScript, extractable content, AI-friendly formats and how to measure citations.
How to integrate AI agents into sites and apps: machine-readable HTML, WebMCP to expose tools from the browser, server-side MCP, human confirmation and security.
How to build a Model Context Protocol server in Node.js and TypeScript: tools, resources, prompts, stdio, Docker API and oxlint, testing with the Inspector, and security.
How to run machine learning models directly in the browser with WebGPU and Transformers.js: model loading, Web Workers, WASM fallback and memory limits.