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You pay for the premium plan, you are in the middle of an important job and Claude locks your chat: limit reached. It happens to almost everyone, and almost always it doesn't depend on how many messages you sent, but on how many tokens you used.
This guide collects the 7+1 tricks to master tokens in Claude: eight simple habits, each with a concrete example, to work for longer while using fewer tokens.
Download the handoutPrintable PDF version of this lesson, with exercise and glossary.
Download the handout as PDFUnderstand what uses up tokens in Claude and apply eight practical tricks to work longer, without sudden blocks and with less waste.
The block doesn't depend on the messages you send: it depends on how many tokens you use.
The model doesn't count how many messages you send, it counts how much text it has to read and write. The unit of measure is the token, and one token is a little less than a word.

Work for longer while using fewer tokens.

Claude never reads only your last sentence. To answer, it re-reads the whole conversation from the start. The further you go in the chat, the more tokens you use just to make it re-read the past.

| Message | What Claude re-reads | Consumption |
|---|---|---|
| Message 1 | Only message 1 | Low |
| Message 2 | Message 1 + message 2 | Higher |
| Message 5 | All messages from 1 to 5 | High |
| Message 10 | All messages from 1 to 10 | Critical |

You are preparing a commercial offer and ask questions one after another in the same chat: headline, prices, terms, tone, corrections.
At the tenth message Claude must also re-read all the drafts and corrections of the previous nine. Your question is short, but the cost is not.
The longer the chat, the more each new message costs. The eight tricks below are meant to break this spiral.
After 10-15 messages consumption becomes critical: it is time to leave the chat and restart clean.

The chat reset zeroes the weight of the conversation without losing the work done: you carry only a summary, not the whole history.


To the long chat you write: “Summarize the whole conversation in a technical, detailed way: goal, decisions made, key data, open points.”
In the new chat you paste the summary and go on with the next question: “Starting from here, write the draft of point 3.”

The /compact function performs this operation automatically, by default.
When Claude gets it wrong, don't answer “no, I wanted something else”: edit the original prompt with the pencil.
Sending a new message like “No, that's not what I meant, I wanted X” makes you use up tokens to have it re-read the mistake. On top of that you pollute the chat's memory: the wrong answer stays there and the AI will keep it in mind.
Click the pencil icon on your original prompt, add the missing details and overwrite. Claude deletes the first answer and generates a new one: clean context, token consumption halved.


Original prompt: “Write an email to chase a payment.” Claude replies with a very formal text.
Wrong: writing “No, friendlier and shorter” → the formal email stays in the chat and is re-read at every message.
Right: pencil on the original prompt → “Write an email to chase a payment, friendly tone, 5 lines at most.” → the old answer disappears.

Every work session has a maximum token limit and lasts exactly 5 hours from the first message you send.


You work from 09:00 to 14:00. With the 06:00 start, session 1 covers 06:00 to 11:00 and session 2 starts at 11:00: within your working hours you get two sessions of tokens instead of one.
You double the daily tokens available for the same working hours, but you do not change the weekly cap.
Claude doesn't literally re-read everything every time: it uses Prompt Caching to keep parts of the recent chat in memory.

If you do any of these, the cache resets: Claude will have to re-read the whole chat from scratch and you will use up tokens instantly.


You have a long chat about an analysis. You go to lunch, come back after a long time and at the second message you switch from Sonnet to Opus.
You reset the cache twice in one go: Claude re-reads everything from scratch. Better: choose model and settings before you start and work in continuous blocks.

Loading the same file in every chat uses up tokens for nothing: recurring documents belong in Projects.


Every week you prepare quotes and always need the same price list in PDF, plus the company style guidelines.
Instead of re-uploading them in every chat, create them once in the “Quotes” Project and open all new conversations there.

Every active tool loads invisible instructions into the chat context, even when you are not using it.
The classic mistake is keeping all plugins and MCP servers on by default, “just in case”. In reality every tool switched on uses up precious tokens in the background, completely for nothing.
Disable everything that is not strictly needed for the work you are doing.


You only need to fix a text, but you have many plugins and MCP servers from other projects switched on.
Turn off the ones you don't need before opening the chat: you work with a lighter context. Remember that connecting or disconnecting tools in a running chat brings the cache down (Trick 4).
Don't use the most powerful model for a simple task: Haiku is the right choice for using fewer tokens.

| Model | When to use it | Token consumption |
|---|---|---|
| Opus / Sonnet | Complex programming, deep analysis, logical reasoning | Very high |
| Haiku | Grammar fixes, translations, quick rewrites, repetitive tasks | Minimal |

Haiku: fixing the mistakes in an email, translating a paragraph, rewriting a sentence more clearly.
Sonnet or Opus: writing a complex function, analyzing a contract, reasoning through a multi-step logic problem.
Remember: the model is chosen at the start of the chat, because switching it mid-way brings the cache down (Trick 4).

The AI has no feelings and doesn't get offended: drop politeness, frills and complex syntax. The fewer words you type as input, the fewer tokens you use.

| Prompt | Example |
|---|---|
| Long and polite (waste) | “Hi Claude, would you be so kind as to read this file and then make me a table, please?” |
| Short and concise (efficiency) | “Analyze file X. Extract data Y. Format table.” |



Cut the politeness, not the information: goal, file and output format must stay clear.

The eight tricks at a glance: print it and keep it next to your keyboard.


By managing your work better you will optimize your spending and increase your efficiency.
Fifteen minutes, Claude open and one of your recent, long chats.

Did you restart from a new chat with a summary?
Did you use the pencil instead of a correction message?
Did you rewrite at least one prompt in a short, concise form?
The rule of thumb is 10-15 messages: beyond this threshold consumption becomes critical. At that point ask for a summary and open a new chat.
Because the Prompt Caching cache is temporary: after a long pause the cache resets and Claude must re-read the whole chat from scratch.
No. It doubles the daily tokens available for the same working hours, but it doesn't change the weekly cap.
The pencil: it deletes the first answer and generates a new one, with a clean context and token consumption halved.
No, as long as it stays precise: it cuts courtesies and wordiness, but keeps the goal, the file and the output format.
| Term | What it means |
|---|---|
| /compact | A Claude Code function that automatically performs the chat reset. |
| Chat reset | Summarize the chat, close it and restart in a new chat by pasting the summary. |
| Effort | The level of effort requested from the system: changing it mid-chat resets the cache. |
| Haiku, Sonnet, Opus | Claude's models: Haiku is light, Sonnet and Opus are the most powerful and consume far more. |
| Plugins and MCP servers | Tools connected to Claude: when active they load invisible instructions into the context. |
| Projects | A feature that keeps recurring files and guidelines, stably held in cache. |
| Prompt Caching | Temporary memory that stores the recent parts of the chat and saves tokens. |
| Session | A work window with a maximum token limit: it lasts 5 hours from the first message sent. |
| Token | The unit of AI consumption: a little less than a word. |

Features, menu names, limits and models change often: always check the version of Claude you use. To go deeper, the reference book is “Niente paura, è solo IA” (in Italian).
Download the handoutPrintable PDF version of this lesson, with exercise and glossary.
Download the handout as PDF