Illa Isenor · Research & StoryLand
Selected interview material · November 9, 2026

In Illa’s words

The interview is presented in thematic chunks, with research questions between excerpts. Timestamps, filler words, and transcription artifacts are removed for readability. Wording is otherwise retained; ellipses mark omissions.

Source: supplied transcript of a private video conversation between Illa Isenor and David M. Boje, recorded November 9, 2026. These are short, selected passages, not a complete transcript.

Chunk 1 · What she notices
“I’ve watched my work scale. By that I mean when I look at YouTube videos or I go to Quora, Reddit threads, Twitter, I’m seeing my words come back at me.”Illa Isenor, interview with David M. Boje, November 9, 2026; cleaned excerpt.

Research question: What constitutes “my words”—an exact sequence, distinctive phrase, image, conceptual pattern, or broad theme? A test needs the original passage and the later candidate passage, with dates and a blinded matching rule.

Chunk 2 · Her working theory
“Collective field consciousness, quantum vibrational fields. Recursively I look back at my past in the present and I have hindsight and from that I know the future. Then the quantum vibrational field is basically a feeling in a resonance that people illuminate from themselves. And this vibrational field is interpersonal relationships.”Illa Isenor, interview with David M. Boje, November 9, 2026; cleaned excerpt.

Research question: Which parts are reports of felt experience, which are conceptual claims, and which are predictions about an external mechanism? Each requires a distinct measurement strategy.

Chunk 3 · Iterative interaction
“When I talk to the AI, I have to correct it. I tell it one thing and it reinterprets what I’m saying. So I say, ‘No, that’s not right.’ … It articulates back at me. So that’s the bidirectional feedback. The AI is learning from me.”Illa Isenor, interview with David M. Boje, November 9, 2026; cleaned excerpt.

Research question: The correction and repair sequence can be reconstructed from prompt histories. “Learning” needs to be specified: adapting within a conversation, retaining account-level memory, changing model parameters, or shaping a later public output are different processes.

Chunk 4 · Evidence and provenance
“I have a time stamp that shows that in April 2025 I finished my patent. And I have a time stamp that says before where the AI was technology and after, and it shows that I had something new to introduce to the system.”Illa Isenor, interview with David M. Boje, November 9, 2026; cleaned excerpt.

Research question: What file, service, or record carries the timestamp? What exactly does it timestamp: a draft, an invention disclosure, a provisional filing, or a platform upload? Keep the original record and distinguish a timestamp from a patent application filing receipt.

Chunk 5 · Her concise loop description
“I talk to the system. The system talks back to me. I learn from it. And when it learns from me … it reiterates my words. And when I don’t believe it heard me correctly, I correct the system and it loops back over to me my information.”Illa Isenor, interview with David M. Boje, November 9, 2026; cleaned excerpt.

Research question: This can anchor a process map: contribution → response → human evaluation → correction → revised response. A separate evidence chain is needed for the claim that the same ideas later circulate beyond the original interaction.

Editorial note. David M. Boje states in the interview that Illa will have full control over the content. These excerpts are therefore a working scholarly presentation for her review. Corrections, preferred wording, and permissions for any longer transcript release should be confirmed with Illa before publication.