Tokens are the currency of AI interactions—every word you write and every word the AI generates costs tokens from a limited pool. Getting more value means learning to cut unnecessary words from your prompts, specify exactly what you need rather than burying requests in explanation, and know when to start fresh rather than continuing a bloated conversation.
Token efficiency refers to how effectively you use the limited input and output capacity of an AI model by eliminating redundant words, structuring prompts tightly, and prioritizing the information that most influences the response.
Improving token efficiency reduces costs on paid platforms, prevents context window overflow in long sessions, and often produces sharper and more focused answers because AI has less noise to process before reaching the core of your request.
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