After you generate your mystory fragment using the EchoKey, you now have something that exists between you and the machine — a hybrid text.
This phase invites you to interview the LLM about the story it helped you create.
Shift from generation to reflection: treat the LLM as a co-reader, a mirror of cultural and emotional logic.
“We’re not asking the AI to grade or explain the story.
We’re asking it to reveal what cultural patterns or assumptions it hears inside our language.”
Paste your generated mystory back into the model, then begin a short dialogue.
Why do you think this mystory uses those particular images or emotions?
What themes or symbols seem most central here?
Relational Prompts
What do you think this story says about me?
How does a machine like you relate to this story?
Philosophical Prompts
What does this mystory reveal about being human?
What do you misunderstand about my experience?
Generative Prompts
Continue this mystory from your own perspective.
If you had a body, how would this story feel?
Encourage curiosity; surprising turns are part of the method.
⚡ Key idea: AI doesn’t “interpret” like a human; it surfaces hidden regularities.
Reading those patterns becomes a new form of close reading.
After everyone has a mystory fragment, paste them all together and ask:
What have you learned about humanity from reading these stories?
This enacts Ulmer’s vision of writing as theory—the AI becomes a speculative reader of the collective unconscious.