# data[].attributes.body
https://chatgpt.com <-I have some available spots in a team

https://lumo.proton.me <- Swiss privacy oriented bot

sko

https://chat.skolegpt.dk/ <- Danish chatbot

https://gemini.google.com/app <- gemini

https://claude.ai/ <- Claude

# data[].attributes.headline
The harvard study supplemental materials

# data[].attributes.subject
The harvard study supplemental materials

# data[].attributes.body
https://teachgpt.com/assets/html/login.html <- their bot, unfortunately we can't access right now. But we can find the prompt they used in here. This material also includes a solution to one of their problems that was given to their bot.

# data[].attributes.body
To get a bot to use the attached prompt, I had success with simply uploading the attached document and writing: "I need to learn about the greenhouse effect".

To simulate being a student, I have used Section 1. Examples of students’ initial diagrams about the greenhouse effect in this page:

https://open.oregonstate.education/physicsforteachers/chapter/using-powerful-ideas-about-light-and-thermal-phenomena-to-explain-the-greenhouse-effect/

The section contains a number of pictures of student drawings preceded by short descriptions of them.

# data[].attributes.body
Rul tried Lumo: did not work well at first. It kept asking the same question even after I responded. I used the non-signed up version of Lumo though! Perhaps, I need to log in to get a better version of this GenAI. After a few attempts, Lumo worked as well as Claude in reading the attached instruction. I also tried chaGPT using different prompt to make it work better: "I want to learn about greenhouse effect based on the attached file as a student".

Sofie tried Claude and worked well. Gemini worked well too. Sofie tried chatGPT with the original prompt and it gave the entire explanation of greenhouse effect instead of reading the attached instruction.

Jeanette tried Copilot and it acted like chatGPT and it gave away a lot of explanations about greenhouse effect.

# data[].attributes.body
Claude: https://claude.ai/share/7548378d-7d38-4e8c-a9a3-40fcfc9200d7

Copilot: https://copilot.microsoft.com/shares/ckTrb5JD94QRa1xyGy1Zt

ChatGPT: https://chatgpt.com/share/6995b61e-9818-8012-abce-be6fab1a0d72

# data[].attributes.body
I noticed how it didn't care about language and how the final answer seemed to take my previous conversations into account by giving an answer as if I was a teacher about to do a presentation on the topic. It may be necessary for this type of projects to use an incognito mode (called temporary mode in Copilot).