I used the flip interaction for the first time. I have heard of it before in a previous digital studies class. So I knew the concept of it, but I also didn’t know how it would work out. My prompting could be worked on however I tried to give as much details as possible for the LLM. I used google’s Gemini, which can generate answers and pictures. I needed the picture function, because I wanted to design a kitchen with AI and I wanted to see the end result.

My starting prompt was:
you’re a kitchen designer, I want to remodel my kitchen which is 4 meters long, 3 meters wide and 2.5 meter tall. on the south side there is a big arch which covers the whole wall. Right next to it on the east side there is a doorway to the outside and exactly opposite there is a door to a staircase. on the eastside there are two windows. I want you to ask me questions about the design of the kitchen and if you have enough information I want you to describe and then generate an image based on my answers
I then quickly corrected the AI, because it asked my a bunch of questions at the same time and I wanted it to ask one question at a time.
The prompt could definitely use some work, A prompt can influencesubsequent interactions with—and output generated from—an LLM by providing specific rules and guidelines for an LLMconversation with a set of initial rules. (White et al, 2023). So by tweaking the initial prompt to be more specific, in what I expect from the LLM I could get better result.

This type of interaction with LLM is useful in some case. As per other stuff with AI I think it is a great starting point. If you have no clue on how you want to redesign the kitchen, AI can give you some things to think about. However when you go further into the process the AI become unreliable and starts to create things which are not correct. As you can see in the starting prompt the arch is not on the same wall as the window, however in the AI generated picture it is generated on the same wall.