Web4
A loose term for a more agentic web where AI agents can understand content, use tools, and help users complete tasks.
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Short definitions for the terms that appear across Web4, AI agents, agent-ready websites, and AI-readable content.
A loose term for a more agentic web where AI agents can understand content, use tools, and help users complete tasks.
Related guideAnother name for Web4, usually used to describe the next stage of the web after social platforms and Web3 infrastructure.
Related guideA web designed for both humans and AI agents, with clearer structure, actions, summaries, and machine-readable context.
Related guideSoftware that can interpret a goal, make a plan, use tools, and take steps with some level of autonomy.
Related guideAI behavior that can reason through steps and act toward goals, even if it is not packaged as one specific agent app.
Related guideA website that is easy for AI agents and AI search systems to read, summarize, navigate, and trust.
Related guideA proposed text file that gives AI systems a concise map of a website's important pages and documentation.
Related guideA file that gives crawlers basic instructions about which parts of a site may be crawled.
Related guideAn XML file that lists important URLs so search engines can discover and revisit pages more easily.
Related guideMachine-readable metadata, often JSON-LD, that describes pages, articles, FAQs, products, tools, and other entities.
Related guideA shared vocabulary for structured data used by search engines and other systems to understand web pages.
Related guideA web movement focused on ownership, wallets, tokens, blockchain networks, and decentralized infrastructure.
Related guideA shared ledger maintained by a network, often used for assets, smart contracts, identity, and audit trails.
Related guideCode deployed on a blockchain that can execute rules such as transfers, permissions, or escrow logic.
Related guideSearch experiences that answer, summarize, compare, or recommend using AI models rather than only listing links.
Related guideThe practice of making content easier for AI answer engines to understand, cite, and summarize accurately.
Related guideModel Context Protocol, a way for AI systems to connect with tools, data sources, and local services.
Related guideAgent-to-agent communication, where separate AI agents coordinate or exchange task context.
Related guideA browser or browsing layer where an AI agent can interpret pages, click, fill forms, and help complete tasks.
Related guideThe ability of an AI model or agent to call external tools such as search, code execution, files, or website actions.
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