Every Claude conversation has a context window. It is the total amount of text Claude can work with in a single chat — your messages, its replies, uploaded files, tool results, and system instructions all count.

A few habits make a big difference.

1. Avoid endless refinement loops

If you are constantly asking Claude to rewrite, adjust, shorten, expand and rework the same answer the conversation can become noisy. Sometimes it is better to edit the original prompt with clearer instructions, or start a fresh chat with the improved version of the task.

This gives Claude a cleaner starting point

2. Use Projects for repeated context

If you keep pasting the same background information into Claude, use a Project.

Projects let you keep related chats, instructions and uploaded knowledge together. This is useful for recurring work such as a product, blog series, codebase, research topic or business process.

3. Be selective with files and links

Large documents, PDFs, long articles and big code files can consume a lot of context.

That does not mean you should avoid them. It means you should be specific. Tell Claude which sections matter, what question you are trying to answer, and what output you want. A focused request usually produces a better answer than dumping everything into the chat and hoping the model works out what matters.

4. Keep setup simple

Tools can add extra content into the conversation. Web search, MCP tools, connectors and code execution can all be useful, but they can also add tool results, logs, retrieved content or intermediate outputs into the working context.

If a task does not need a tool, keep the setup simple.

5. Use extended thinking for harder work

Extended thinking is best used for more complex tasks: debugging, planning, architecture, analysis, reasoning-heavy writing or multi-step problem solving. For simple questions, it may add latency and extra token usage without much benefit.