Every extra word in or out of a chatbot costs energy.
Staff paste whole documents into prompts and accept long, padded answers by default, and every token is paid for in compute.
A UNESCO report found that shorter prompts and answers can cut AI energy use by over 50%. GreenCode's own AI reads only what it needs for the same reason.
GreenCode helps tackle this by keeping its own AI lean: small fine-tuned models, retrieval so a model reads only what it needs, and each request sent to the smallest part that can do it. More on this.
Every extra word in or out of a chatbot costs energy. Staff paste whole documents into prompts. They accept long, padded answers by default. And every word in and out is paid for in computing power. Energy use rises with longer prompts, longer answers and bigger models. So prompt habits are a cost lever your organisation can teach. Here is the fix you can use today. First, teach short, clear prompts that ask for exactly what is needed. Next, set limits on answer length in the AI tools you build. Then summarise, or fetch only the parts that matter, instead of pasting everything. Compare models and runs, using tools like AI Energy Score and CodeCarbon. A UNESCO report found shorter prompts and answers can cut AI energy by over half. GreenCode's own AI reads only what it needs, for the same reason. GreenCode helps tackle this by keeping its own AI lean. It uses small tuned models, and sends each job to the smallest part that works. That was GreenCode Tech Tip number fifty-one. Follow for the next tip, and find more on greencode.ai/tech-tips.
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