Markdown for Agents: How to Make Content AI-Readable Without Breaking the Web
Cloudflare’s Markdown for Agents lets AI agents request a clean Markdown version of any HTML page via HTTP content negotiation (Accept: text/markdown). This post shows why agents struggle with modern sites, how edge conversion cuts token waste, and how to roll it out on docs, pricing, changelogs, and API pages without changing the human UX.
WebMCP in Chrome: How Google Wants Websites to Talk to AI Agents
WebMCP is Chrome’s early preview for making websites “agent-ready.” Instead of forcing AI agents to guess UI intent from the DOM, a site can expose structured tools with typed inputs and structured outputs. Chrome can then surface those tools to an in-browser agent, so tasks like search, checkout steps, or ticket creation run through stable contracts rather than brittle clicking.
App Store Keywords Optimization: the best practices for iOS Apps in 2026
App Store Keywords Optimization in 2026 is the technical engineering of app metadata to align with semantic search algorithms and AI discovery agents. It moves beyond legacy keyword stuffing to prioritize intent clusters, requiring developers to treat metadata updates as code pushes rather than marketing tasks. This ensures visibility for high-intent queries where users - and autonomous agents - seek specific functionalities to solve defined problems.
How to build AI Agent in 2026
Move beyond simple chatbots to autonomous systems. This technical guide defines the 2026 standards for AI Agent development, analyzing frameworks like LangGraph, CrewAI, and n8n. Learn to architect self-correcting workflows, integrate Node.js backends, and implement strict governance for production-ready agents.