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Tokens

A token is a small chunk of text that the AI model uses to process your message and generate a reply. Both what you enter and what the model sends back count toward your token limit. When you write short, focused prompts and ask for concise answers, you use fewer tokens overall. That means your sessions can last longer, responses come faster, and you’re less likely to hit token limits or get cut off mid-reply.

Conserve tokens = longer sessions + faster responses + fewer cutoffs

1️. Prompt Design

Do

Don’t


2. Conversation Management


3️. Handling Large Text


4. LLM-Specific Tips

LLM Efficiency Tactics
ChatGPT GPT-4x tokenizer is efficient. Reuse previous messages and cap outputs.
Claude Takes long input well — summarize documents instead of feeding full text.
Gemini Large window; main limit is requests/day. Keep prompts precise and output short.

5️. Output Control


Approximate Token Use

Word Count ≈ Tokens
75 words ~100 tokens
500 words ~650 tokens
1,000 words ~1,300 tokens

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