How to do Greener Prompting with AI and GreenPT

Описание: In this episode, host Chris Adams is joined by Wilco Burggraaf and Robert Keus
of GreenPT to unpack what greener prompting and transparent AI actually look
like in practice. They discuss why most AI services hide their environmental
impact, how GreenPT exposes real energy and carbon data to users, and why user
behavior plays a major role in AI’s footprint. The conversation explores
prompt length, session design, model efficiency, and the limits of chat-based
AI, making a strong case for transparency, better defaults, and more
purposeful use of AI if it’s going to scale responsibly.

Learn more about our people:

Chris Adams: [LinkedIn](  / mrchrisadams  ) | [GitHub](https://github.com/mrchrisadams) | [Website](https://www.thegreenwebfoundation.org/)
Robert Keus: [LinkedIn](  / robertkeus  ) | [Website](https://greenpt.ai/)
Wilco Burggraaf: [LinkedIn](  / wilco-burggraaf-a6b15517  ) | [Medium](  / wilco.burggraaf  ) | [Website](https://greenpt.ai/)

Find out more about the GSF:

[The Green Software Foundation Website](https://greensoftware.foundation/)
Sign up to the [Green Software Foundation Newsletter](https://greensoftware.foundation/)

Resources:

[GreenPT](https://greenpt.ai/) [01:14]
[Green Software - The Netherlands | Meetup](https://www.meetup.com/green-software...) [02:34]
[Scaleway](https://www.scaleway.com/en/) [22:40]
[Neuralwatt](https://neuralwatt.com/) [29:23]



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