The Agentic Web: Why the Internet Needs a Machine-Readable Layer
Building for the next consumer of information
TL;DR
The web was built for human browsers. AI agents are the next primary consumer of online information, but the current web is hostile to machine consumption. The agentic web is an emerging set of protocols (MCP, llms.txt, structured APIs) that make content natively accessible to AI systems.
The Problem
AI agents are increasingly browsing the web to gather information, but they're forced to parse HTML designed for human eyes. This is as inefficient as a human reading raw database dumps.
The Emerging Standards
Several standards are emerging: MCP (Model Context Protocol) for tool integration, llms.txt for site discoverability, and structured JSON-LD for semantic content. Together, they form the agentic web.
What This Means for Content Creators
If you publish content, you now have two audiences: humans and AI agents. Optimizing for both requires structured content, machine-readable metadata, and accessible APIs.