Really good job explaining what the prompt should look like - that it is not only an instruction. And also, how much context is really needed for an LLM to work properly.
The concept highlights how structured information design can significantly improve the quality of AI outputs — not just in terms of performance, but also in terms of sustainability.
In this context, I'd like to point to #greenprompting
— a methodology that builds on Context Engineering to reduce the energy consumption of AI systems. By using clear, structured, and reusable prompts, it’s possible to cut compute load and CO₂ emissions by 40 to 70 percent, while improving the quality and consistency of outputs.
For me, this is a core capability for sustainable AI development. It’s not just about more efficient models or infrastructure — how we interact with AI matters just as much.
Really good job explaining what the prompt should look like - that it is not only an instruction. And also, how much context is really needed for an LLM to work properly.
Great!! Very clear
Great post on Context Engineering.
The concept highlights how structured information design can significantly improve the quality of AI outputs — not just in terms of performance, but also in terms of sustainability.
In this context, I'd like to point to #greenprompting
— a methodology that builds on Context Engineering to reduce the energy consumption of AI systems. By using clear, structured, and reusable prompts, it’s possible to cut compute load and CO₂ emissions by 40 to 70 percent, while improving the quality and consistency of outputs.
For me, this is a core capability for sustainable AI development. It’s not just about more efficient models or infrastructure — how we interact with AI matters just as much.
You can explore the idea further in the GreenPrompting Whitepaper or try the [#greenprompting Assistant](https://chatgpt.com/g/g-684a9661d85081919e53aa1ea604861b-greenprompting-assistant), which helps analyze and improve prompt structure and efficiency.
In short: better prompts lead to better outputs — and lower environmental impact. Thoughtful language is a key lever for responsible AI.