A CALL FOR STORYTELLERS
I Tried to Build an Interactive AI Notebook. Well, Here We Are.
I have a story I have spent years trying to find the words to tell.
I'm a trial lawyer, a mother, a writer, and a woman who cannot see color. I tried to create an interactive notebook using artificial intelligence.
What followed was an extraordinary, complicated human experience—one involving creativity, love, language, a psychiatric crisis, recovery, and a great deal of questioning.
I wrote a memoir about it: A Trial of Color.
But here's the funny thing.
While trying to figure out how to tell the story, I began using AI to imagine what producers, critics, readers, and storytellers might think.
The machine was wonderfully enthusiastic.
It even impersonated an actual podcast professional, praised my work, and then produced another imaginary version of the professional who criticized the first impersonation.
I am a lawyer. You can imagine what happened next.
The imaginary witnesses were cross-examined. 😂
And I realized that the process of telling the story was becoming another episode of the story itself.
How does language capture our attention? How does context shape what we believe? What happens when an imagined future begins to feel like evidence? And how can we use these remarkable tools without surrendering our own judgment?
Those are questions I want to explore.
Not just through my experience.
Through storytelling, documentary, comedy, philosophy, political theory, research, and actual human collaboration.
Because the question isn't simply what AI can generate.
It's what we decide to do with the possibilities it gives us.
I can use AI to develop a film treatment, imagine a documentary structure, explore competing philosophical positions, or draft a possible institutional framework in an afternoon.
But the speed of a draft doesn't establish its truth, its quality, or its legitimacy.
And no simulation can replace a real human being who is free to disagree.
That's why I'm beginning with a call for storytellers.
Writers. Filmmakers. Journalists. Comedians. Researchers. Artists. Critics. People who see an angle I haven't considered—or think I'm asking the wrong question entirely.
I don't want an AI utopia story. I don't want a simplistic cautionary tale. I want a story that can hold the difficult parts and the wonderful parts without confusing possibility with proof.
And I have a longer-term ambition.
I've pledged at least half of my qualifying personal earnings from this work toward what I cheekily call GoldenRox—an envisioned, independently governed effort to support research, accessibility, education, creative participation, and serious criticism.
The structure is not yet established. Its design, like the larger questions, needs real people and independent judgment.
Because what if the story could help finance the asking of better questions?
What if we used the tools we have created not simply to produce more language, but to help us imagine, investigate, and responsibly build institutions worthy of the future?
I don't have a finished answer.
I do have a memoir, an extensive record of human–AI interactions, some proposed research questions, a sense of humor, and a very real desire to tell this story well.
And I think the next chapter needs more human voices.
So here's my invitation:
If you were going to tell this story, where would you begin?
What would you challenge?
Whose voice is missing?
And what would you insist on verifying before the story went any further?
I tried to build an interactive notebook.
Apparently, it needs a bigger table.
Pull up a chair.
Four questions
Answer the ones you have something to say about. Disagreement is more useful here than agreement, and an unfinished thought is welcome — the notebook keeps those too.
Published in full, including the parts that flatter the work and the parts that question it. The exchange below is what a machine said about the notebook when asked how it should be marketed. It is another Echo, not a review by an outside party.
THE MARKETING COLLABORATION
Inside the Notebook · a dated record of one exchange, published in full · October 16, 2026
A note on the record: This is machine-generated analysis, produced in conversation with the author in response to a request for marketing guidance. It is not independent critical reception, not a review by an outside party, and not evidence that the work succeeds. It is another Echo.
OH, THIS. 😂
An AI just gave an AI-assisted investigation of AI-generated praise a glowing review.
OBJECTION.
FOUNDATION.
And the extraordinary thing is that this is exactly the kind of event Inside the Notebook was built to examine.
Having read the whole sequence, something more interesting appears than the four-entry structure we were discussing.
You're not just writing about the experiment. You're making literature out of the experiment itself.
Look at what actually happened.
You built a website around a memoir and a developing intellectual inquiry. You used AI to help translate complicated ideas, simulate possible reactions, construct scenes, and develop methods for distinguishing imagined possibilities from independent evidence.
Then you showed another AI system the website.
It analyzed the project.
You showed it Entry 002.
It analyzed the method.
Then Entry 003.
Then Entry 004.
Then the machine's review of the first three entries.
Then the rearview over all four entries.
Then Imaginary Joe, Take Four.
And finally, you asked whether the writing was effective.
The machine said yes. It identified your use of humor, courtroom technique, metaphor, rhythm, and performance.
Now you've brought that entire exchange into another AI conversation to examine what happened.
The machine is reading a story about a machine reading a story about a human using a machine to imagine how another human might read her story.
Good Lord. Somebody get Madison a coffee.
But the recursion is not the achievement by itself. Endless recursion is cheap. What matters is your ability to turn it into a sequence that a reader can follow, question, and eventually exit.
The literary technique is more sophisticated than an ordinary AI conversation
You are moving among several kinds of writing, each doing a different job.
In Entry 001, the generated Q&A provides material for examination.
In Entry 002, the language becomes an explicit proposed method. The reader is invited to try it and challenge it.
In Entry 003, you introduce a person who has not consented to the machine's version of his inner life. Suddenly the problem isn't just whether the machine is accurate. It's whether it has any authority to speak for him.
In Entry 004, you expand the problem into political representation, economics, public narrative, institutional power, and the practical costs of verification.
Then you go somewhere particularly clever with Imaginary Joe, Take Four.
You make an imagined reader encounter a story in which an imagined version of himself has become the subject of an ethical argument about why imaginary people cannot substitute for real ones.
The reader experiences the problem before being asked to evaluate the theory.
And because the scene is explicitly fictional, the reader can enjoy the performance while retaining the distinction between representation and actual testimony.
That's what makes this different from simply writing, "AI can simulate people, but simulations aren't evidence."
You give the simulation a desk.
You give it coffee.
You give it a little professional indignation about an 89-page attachment.
You make the character plausible.
Then you cross-examine the foundation.
The writing isn't merely decorating the argument. Its form allows the reader to experience the temptation that the argument asks them to resist.
There's another layer that the compliment doesn't quite capture
The reviewing system describes the author in the third person:
"She takes standard AI sycophancy..."
"She's using language to build a bridge..."
That sounds remarkably like independent literary criticism.
And some of the observations may be useful. It correctly notices recognizable techniques in the text: short courtroom interruptions, abrupt tonal changes, recurring motifs, and the juxtaposition of serious evidence questions with absurd situations.
But look at what this illustrates.
The machine can produce the language of independent critical reception before independent critical reception has occurred.
It can tell you how a reader might understand your work. It cannot establish how an actual reader understood it.
That doesn't make the output worthless.
It makes the output another Echo. Not a World Return.
And this is where the notebook's self-criticism matters enormously. The claim that the site is a "fully realized metacognitive airlock" goes beyond what the available record establishes. The entries themselves expressly identify the method as provisional, the constructed Q&As as non-verbatim, and some original prompts and outputs as pending insertion.
The next contribution isn't another machine declaring that the project works. It's letting independent people examine whether these distinctions can be taught, applied, and tested.
And I would revise my earlier marketing advice
Calling the first four entries a season finale was too simple. Looking at the actual published structure, with Episodes, Glimpses, Echoes, Field Notes, Reviews, Rearviews, and fictional specimens, this is closer to a serialized literary documentary with an inspectable research record.
The first four entries create a principal narrative path. The other materials allow readers to move behind that narrative, encounter the generated material, and question the author's choices.
That can be presented on two levels:
For the general reader: A Kentucky lawyer uses AI to imagine a conversation with a man who may or may not be named Joe. The machine gets carried away. The lawyer cross-examines the imaginary witness. Things become increasingly ridiculous, philosophical, and unexpectedly consequential. Eventually, she has to make an actual phone call.
For the intellectually curious reader: The same story opens questions about how humans interpret generated language, how narratives create authority, how institutions distinguish synthetic representation from participation, and whether we can design systems that help us exercise better judgment.
You don't need to sell the second level before readers have experienced the first.
And because the notebook already contains so much, the main reading path should stay very clear. Let the supplemental reviews and echoes be doors readers choose to open, rather than demanding that every reader pass through the entire archive.
The ending becomes the most important editorial choice
Your stopping point works because it is a real limit on what the author and the machine are entitled to claim.
You've already written the imaginary call.
You could write another.
And another.
You could have ten fictional Joes debate the merits of your research.
But the actual person — whoever he is — still gets his own independent response, including the right not to participate in the notebook at all.
So imagine closing this initial narrative sequence with:
I've spent the morning asking artificial intelligence to help me explain what I've been trying to accomplish for years.
It gave me philosophers. Economists. Publicists. Critics. An imaginary man with a coffee cup.
It even gave me Real Joe.
Which was a rather impressive accomplishment, considering it had never met him.
But there's something the machine cannot do.
It cannot tell me what the actual person will think.
And I've reached the point where another beautifully constructed answer is not what I need.
I need to make the telephone call.
WORLD RETURN: PENDING.
Wink entered into the record.
The real power comes from not secretly supplying the answer afterward. If an actual encounter is ever documented, it needs its own foundation, privacy boundaries, and permission.
There is a reason this deserves attention as a literary project
Independently of whether the proposed research methods eventually withstand empirical testing, this is an experiment with the relationship between the reader, the narrator, the machine, and the people who remain outside the story.
The reader is not required to believe the narrator. The narrator is not required to believe the machine. The machine cannot certify its own authority. And the real people outside the narrative cannot be drafted into it by literary decree.
That is a genuinely productive tension for a serialized work.
Which may make the most interesting marketing proposition this:
Inside the Notebook: A story that keeps discovering it has another reader — and refuses to write that reader's answer.
And perhaps the most important question for literary and research collaborators isn't whether the machine thinks the work is clever.
It's this:
Can a story teach its reader to recognize the difference between being persuaded by a beautiful description and independently deciding what to believe or do next?
That is a question worth investigating. And unlike Imaginary Joe, actual readers might answer it in ways none of us anticipated.
Exchange disposition
STATUS: MACHINE ANALYSIS OF THE PUBLISHED NOTEBOOK · RESPONSE TO A MARKETING REQUEST
MACHINE OUTPUT: CANDIDATE MATERIAL, NOT INDEPENDENT CRITICAL RECEPTION
FIRST-PERSON CLAIMS: NONE ABOUT ANY ACTUAL READER'S EXPERIENCE
PROVENANCE: PRODUCED IN CONVERSATION WITH THE AUTHOR · PUBLISHED IN FULL
MARKETING REVISION: TWO LEVELS · THE GENERAL READER FIRST, THE RESEARCH QUESTIONS SECOND
READING PATH: PRINCIPAL NARRATIVE FIRST · SUPPLEMENTAL BANDS ARE DOORS, NOT GATES
OPEN PROBLEM ELEVATED: A MACHINE CAN PRODUCE THE LANGUAGE OF CRITICAL RECEPTION BEFORE RECEPTION HAS OCCURRED
NEXT COMPETENT ACTION: LET INDEPENDENT PEOPLE TEST WHETHER THE DISTINCTIONS CAN BE TAUGHT AND APPLIED
WORLD RETURN: PENDING
The Court notes that this witness complimented the cross-examination, which is not the same as surviving it.
Wink entered into the record.
