What is Claude in simple terms?
In simple terms, Claude is an AI assistant from a company called Anthropic. You describe a task in plain language — explain this, draft that, fix this code — and it writes an answer back.
Claude explained
Claude is a family of large language models and AI assistants built by the company Anthropic, used through a chat app and through developer tools to hold conversations, write and analyze text, work with code, and carry out multi-step tasks.
Claude is the AI assistant made by Anthropic. Underneath it is a large language model — a system trained on very large amounts of text, which is what lets it follow what you write and answer in fluent, relevant language. What Anthropic says about its own approach is unusually specific and public: a training method called Constitutional AI, in which the model is asked to criticize and revise its own draft answers against a written set of principles, rather than relying only on people rating every response by hand. You can reach Claude through a chat app, or connect to it as a service from your own software.
That written set of principles is worth understanding plainly, because it is easy to picture the wrong thing. It is not a filter bolted onto a finished model, scanning replies and blocking the bad ones. It acts during training: the model produces an answer, checks it against the principles, rewrites it, and the improved version becomes material the model learns from. The aim is a model whose ordinary behavior already leans toward being helpful, honest and careful about harm, without a person having to label every individual case. Anthropic keeps releasing new Claude models, so what any given one can do moves; the method of shaping how it behaves is the steadier thing to know.
None of that makes the output safe to accept unchecked. A training method aimed at honesty reduces bad behavior; it does not give a model any way of knowing when it is wrong. Claude will state an incorrect fact in the same steady tone it uses for a correct one — the failure usually called hallucination — and it can quietly misread what you were actually asking for. Treat it the way you would a fast, well-read assistant whose work you have not verified yet: very good for a first draft, an explanation, a summary or a piece of code, and worth reading with your own eyes before it goes anywhere that matters.
Real-world example of Claude
Imagine a small charity with no technical staff preparing its annual report. A volunteer pastes a messy folder of meeting notes and spreadsheets into Claude and asks, in plain English, for a clear two-page summary written for donors, plus a friendlier version for social media. Claude reads through the lot, pulls out the highlights, and drafts both — adjusting the tone for each audience when asked. The volunteer doesn't write any code or learn any special syntax; they just describe what they need, read the draft, correct the couple of figures Claude got muddled, and send it on. That back-and-forth — describe, draft, refine — is the everyday way people use Claude, and the moment of catching the muddled figures is exactly why the human stays in the loop.
Frequently asked questions about Claude
What is the difference between Claude and ChatGPT?
Both are conversational assistants built on large language models, so day to day they are used the same way: you type, they answer. What differs is who builds them and how. Claude comes from Anthropic and ChatGPT from OpenAI, each running on its own separately trained models, with its own app, pricing and developer service. Anthropic additionally trains Claude with its published Constitutional AI method — a documented difference in method, not a claim about which assistant answers better. Which one suits you usually comes down to the task in front of you and to habit.
How does Claude work?
Claude is a large language model: first trained on huge quantities of text to continue language plausibly, then trained further to follow instructions and behave as Anthropic intends. That second stage is where Constitutional AI comes in — the model is prompted to judge its own answers against a written set of principles and produce a better version, and those revisions feed back into its training. When you send a message, your words are converted into units the model can process, and it builds the reply one piece at a time. You see a message arriving; the work underneath is prediction, shaped by that training.
What is Claude used for?
Writing and rewriting, condensing long documents, explaining unfamiliar material in plain language, translating, thinking a problem through out loud, and a great deal of programming work — reading, writing, reviewing and debugging code. Companies reach the same models through Anthropic's developer service and build them into their own products, including tasks where the assistant calls other software instead of only replying. The sensible pattern is the same in every case: let it do the first pass, and keep a person on anything with a consequence attached.
Related terms
Courses focused on Claude
Building with the Claude API
Anthropic
Claude 101
DataCamp
Claude Code 101
Anthropic
Claude Code in action
Anthropic
Claude Platform 101
Anthropic
Introduction to agent skills
Anthropic
Introduction to Claude Cowork
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Introduction to Claude Tag
Anthropic
Introduction to subagents
Anthropic
Courses related to Claude
AI in Finance Bootcamp
Learnsignal
The AI-native SDLC playbook
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Building effective human-agent teams (beta)
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Deploying Claude Enterprise with confidence: The five decisions that shape your rollout
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Introduction to Model Context Protocol
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Model Context Protocol: Advanced Topics
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