Claude Tutorials: Learn Anthropic's Claude

What Claude is, and how it is organised

Claude is a conversational assistant: you type a request, it replies, and you refine the answer in the same conversation. That simple loop is the whole product, and the tutorials here are about using it well. Two features shape how longer work is done. Artifacts turn a substantial result, such as a document, a draft website page, or a piece of code, into a separate panel you can read, revise, and copy, instead of losing it in a long scroll of chat. Projects group chats and reference files together, so Claude can work with the same background material across several sessions, which suits ongoing work like a report, a course, or a client account.

Claude Code is the coding side of the same family: a tool for developers who want an AI assistant working inside their normal coding workflow, reading and editing code in a project rather than only answering questions about it. You do not need Claude Code to benefit from Claude as a coding assistant in chat, where it can explain code, draft functions, review a file, and help you debug. The coding tutorials cover the chat approach first, and treat dedicated coding tools as a next step once the basics are comfortable.

How to work through these tutorials

Start with getting started and prompt engineering, even if you have used other AI tools before. Claude responds well to clear structure: a stated goal, the audience or reader, the format you want, and any constraints such as length or tone. Most weak answers come from vague first prompts, not from the tool itself. From there, follow the track that matches your work. Writers should go to writing and editing, then research and summaries. Developers should go to the coding assistant tutorial, then data analysis and productivity workflows. Business owners should go to business use cases, then automation, SEO audits, and social media.

Each tutorial follows the same discipline. First, define the output you want before you prompt. Second, give Claude the material it needs, such as your draft, your data, or your brief, rather than asking it to guess. Third, read the result and correct it in the same chat: point at what is wrong, say what to change, and ask for a revised version. Fourth, verify anything factual before you publish or send it. Claude can produce confident-sounding statements that are wrong, and the checking step is part of the workflow, not an optional extra.

An example prompt to try first

This prompt shows the pattern the tutorials teach: role, task, material, format, and a rule against inventing facts. Adapt the bracketed parts to your own work.

You are helping me edit a draft. Here is the draft:
[paste your draft]
Do three things:
1. List the 3 weakest paragraphs and say why each is weak.
2. Rewrite those paragraphs in plain, factual language.
3. List any claim in the draft that I should verify before publishing.
Do not invent statistics, quotes, or sources.

What Claude is best at, and where to be careful

Claude is strongest on long, careful work: editing a long draft, summarising a long document, working through a set of files, and reasoning through a problem step by step. It is also a capable coding assistant for explaining, drafting, and reviewing code. It is less useful as a quick-answer tool inside social apps, where Muse is already present, and it is not a substitute for a search engine, a calculator, or a verified source: numbers, dates, names, and quotes in its output should be checked. Plans, limits, and feature availability change over time, so check the current details inside the app before building a paid workflow on any single feature.

Frequently asked questions