Anthropic

Summary: Claude's Watermark in 30 Seconds Claude models released on or after August 2, 2026 embed an imperceptible mark in the text they generate. Older models are being retrofitted. The mark lives in the text itself. It survives copy and paste, and can survive light editing. Files get a separate mechanism: .svg, .png and .jpg outputs carry signed provenance metadata following the C2PA standard. Coverage is broad: the API, Claude apps, Claude Code, Cowork, Claude Tag, plus access through AWS, Google Cloud and Microsoft Foundry, worldwide. A detected mark means the content may have been processed by Claude. The absence of a mark proves nothing about whether text was AI-generated. Detection tooling and technical documentation are not published yet. Today, no third party can actually verify a mark. Watermarking an image is easy. You nudge millions of pixel values by amounts no eye can catch, and you are done. Watermarking text is a different problem entirely. There are no pixels, only words, and you cannot change a word “slightly”. It is either that word or a different one. ...

Running Claude Code against a non-Claude model works, and you do it on a path the providers document themselves rather than through a hack. Ollama, Moonshot and Z.ai all publish an Anthropic-compatible endpoint. Setup comes down to three environment variables. This guide covers the steps for all three providers, how to make the configuration stick, and the errors people hit most 🔌 The Short Answer Three providers, three addresses Provider ANTHROPIC_BASE_URL Ollama (local) http://localhost:11434 Moonshot / Kimi https://api.moonshot.ai/anthropic Z.ai / GLM https://api.z.ai/api/anthropic MiniMax https://api.minimax.io/anthropic Alibaba / Qwen depends on the plan Add ANTHROPIC_AUTH_TOKEN and a model name and that’s the whole setup. ...

Claude Code isn’t a chat window in your browser. It opens in your terminal, reads your project’s files on its own, edits them, runs the tests and commits. Say “fix that bug” and the expectation is that it finds the file and changes it. This guide walks the path from install to your first code change, and gives a straight answer on the free-version question 🧑‍💻 The Short Answer If you only have a minute Install (Windows PowerShell): irm https://claude.ai/install.ps1 | iex Install (macOS, Linux, WSL): curl -fsSL https://claude.ai/install.sh | bash Start it: cd into your project and type claude No free tier: you need a Claude subscription (Pro, Max, Team, Enterprise) or a prepaid Console account First move: run /init to generate a CLAUDE.md for the project What Is Claude Code? Claude Code is Anthropic’s coding agent for the terminal. What separates it from a regular AI assistant is that it doesn’t only produce text. It has tools for reading files, writing files, running commands and searching the web, and it decides on its own which to use and in what order. ...

The list that pops up when you hit / in Claude Code is intimidating at first. A hundred-odd commands, half of them named in a way that gives nothing away, and your own custom commands mixed in with the built-ins. You don’t need all of them. Ten commands cover almost everything you do day to day, and the rest is reference material you look up when the moment arrives. This page gives you both: the ten first, then the full list grouped by what it’s for 🧰 ...

You want to tell an AI “read this file”, “pull that record from my database”, “close this issue”. The model cannot do any of it on its own, because it has no access to your machine, your database or your accounts. MCP exists to close exactly that gap. It puts a standard connection layer between the AI application and the outside world 🔌 What Is MCP? MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems. ...