What Is Claude AI? A Complete Guide to Anthropic's Chatbot

Definition

Claude is the name of the family of artificial intelligence models developed by Anthropic. Like other large language models such as ChatGPT or Gemini, Claude is trained on vast amounts of text and other data to understand and generate human language, answer questions, write and edit text, analyze documents and images, and write or debug computer code. The name is widely believed within the company to be a reference to Claude Shannon, the mathematician often considered the father of information theory.

How People Access Claude

Claude is available to the public in several ways. Individual users can chat with Claude through a web browser at claude.ai or through dedicated iOS and Android apps. Developers integrate Claude into their own software using Anthropic's API, and Claude is also distributed through major cloud platforms, including Amazon Bedrock, Google Cloud's Vertex AI, and Microsoft Foundry, which lets enterprises already using those ecosystems adopt Claude without switching infrastructure providers.

What Claude Can Do

Modern Claude models support text and image input alongside text output, and they are multilingual. Typical use cases include drafting and editing written content, summarizing long documents, analyzing spreadsheets and PDFs, answering research questions, and writing software. Anthropic has placed particular emphasis on agentic capabilities — the ability for Claude to plan out and carry out multi-step tasks with limited human supervision, including using a computer interface directly, browsing the web, and working across multiple files or applications to complete a task.

Constitutional AI

One of the more distinctive aspects of how Claude is trained is a technique Anthropic calls constitutional AI. Rather than relying solely on human reviewers to flag good and bad responses one at a time, Claude is trained to evaluate and revise its own outputs against a written set of guiding principles, or "constitution." Anthropic has described this as a way to make the model's values and behavior more consistent and more transparent than approaches that rely purely on opaque human feedback loops.

Multiple Models for Different Needs

Rather than offering a single model, Anthropic maintains a lineup of Claude models pitched at different combinations of speed, cost, and capability. Lighter, faster models are designed for high-volume, latency-sensitive tasks, mid-tier models aim to balance strong performance with practical cost for everyday use, and the most capable models are designed for the hardest reasoning, coding, and long-horizon agentic tasks. This tiered approach lets individuals and businesses choose the right trade-off for a given job rather than paying premium-tier costs for simple requests.

Safety as a Design Principle

Because Anthropic was founded explicitly around AI safety concerns, Claude's development process includes extensive safety testing before any new model is released, along with published "system cards" that document a model's behavior, limitations, and known risks. This has become one of the more distinctive aspects of Anthropic's public-facing identity in a crowded AI assistant market, even as competitors have increasingly adopted similar safety-disclosure practices of their own.