Tim picks up the artifact-versus-artifice thread from last week and asks the practical question: what does it have to do with automation and AI?

Shawn's first answer is a distinction. An LLM takes in the corpus of human artifacts, finds the most popular patterns, and stitches them into something that looks original but is a mimicked artifact, not a new one. Artifice, the capacity to project something into the future that has never existed, stays with the human. From there the conversation turns to what AI is actually good for (speed and research), what prompting really is, and then into the deep end: whether a written sentence can be fully computed, and what that means for how editing works.

Topics covered:

• Original artifacts versus mimicked artifacts, and why an LLM output is an integration of what already exists rather than a projection of what could be
• Why AI behaves like a confirmation bias machine, and why it's hard to get it to tell you something you don't want to hear
• Jaron Lanier's "Wikipedia on steroids" framing, and why the people building AI present it as a savior
• Shawn's Library of Congress story: two weeks of research that would take a second today, and Tim's espresso machine example from a scene he was writing
• Prompting as programming: knowing exactly what you want, the same way you once had to learn how to search Google
• Why developmental editing is slow by nature: you can't evaluate the first sentence until you've read the whole artifact
• Content and context, show and tell, and everything packed into the two-word sentence "Tim screams"
• The Russian doll structure: sentence, scene, arc, quadrant, whole, and the mythic standard that applies at every level
• Gödel's incompleteness theorem, the Church-Turing thesis, David Deutsch, and Claude Shannon's information theory, and how Shawn uses all five to argue that a halted artifact can be fully computed
• Russell and Whitehead's Principia Mathematica and the failed attempt to prove that one is one
• Shawn's actual editing process for a scene: did anything change, find the sentence evidence for each of the five commandments, confirm each is shown rather than told
• Inciting incident, turning point, crisis, climax, resolution, and the A-P-A-P-A pattern of antagonism and protagonism across the five
• Why a progressive complication is a reaction, not a transformation, and why the antagonist always leads the inciting incident
• Why language is a form of math and math is a form of language, and why F=ma and "don't jump out the window" are the same message
• Why Shawn won't hoard what he knows, and what it would mean to formalize it so a machine can analyze a writer's work the way he does

Books and works referenced

• The Story Grid by Shawn Coyne
• Principia Mathematica by Alfred North Whitehead and Bertrand Russell
• The Odyssey, The Iliad, Pride and Prejudice, The Lord of the Rings, The Hobbit

Tim opens with a broad question: a few years after ChatGPT hit the public consciousness, where does Shawn stand on what AI is, how it's useful, how it isn't, and what it means for writing and editing?

Shawn's answer comes from the three years he spent on Mentoring the Machines with John Vervaeke, author of Awakening from the Meaning Crisis. Rather than start with AI, he starts with technology itself and builds up from there. The episode is less a list of tips than a map, and by the end it lands on a clear claim: AI is an algorithmic system that simulates the heuristics, principles, and stories of its programmers, and it has zero understanding of myth.

Topics covered:

• Three kinds of technology: external (the shovel), shared or "nomo" technology (the idea of the shovel passed between people), and psychotechnology (the capacity to think up the shovel in the first place)
• Algorithms, heuristics, and principles, and why each one maps to a human capacity we use every day without noticing
• Why a theory is really a limitation, and how innovation (Newton to Einstein) pushes the limit outward
• Story as the integration of algorithms, heuristics, and principles, and myth as the larger cycle that story sits inside
• What myth actually means, why Tim got corrected for misusing it in an email, and why "it's just a myth" is a sign the language has been degraded
• Artifact versus artifice: the recorded thing versus the capacity that made it, and how the two combine into art
• The Odyssey, Scylla and Charybdis, and why a story whose circumstances never happened can still be a higher form of truth than a record
• Why the "AI will destroy us" story and the "AI will let us drink pina coladas forever" story are both agendas, and what to look for when a story is all chaos or all order
• Tim's internet-in-the-'90s comparison, and whether AI is fundamentally different from past technologies
• Computational versus conscious systems: why speed and scale may never cross the threshold to consciousness, and why the only real test would be an original artifact
• Shawn's definitions of consciousness (attention, awakening, awareness, affordance, attunement, agreement, alignment, at-onement), and why the machines don't care
• Faith as a practical problem rather than a religious claim, and why you need the artifice of falsity to reach the artifact of truth

Books referenced

• Mentoring the Machines by Shawn Coyne and John Vervaeke
• Awakening from the Meaning Crisis by John Vervaeke
• The Odyssey

Links

• Sign up for the Story Grid newsletter at StoryGrid.com
• Mentoring the Machines

Tim opens with a stat that frames the whole conversation: the average unpublished writer he surveyed has been at it for nearly 15 years. He puts the question to Shawn directly. What is Story Grid trying to do about that?

Shawn's answer starts with the mythic patterns that make stories like The Odyssey, The Lord of the Rings, and Pride and Prejudice last, and lands somewhere most writing advice doesn't: the sentence. His argument is that the same beginning, middle, and end that shapes a novel also shapes a scene and a sentence, and that the sentence is the smallest unit capable of carrying a transformation. Get that right and the larger structures follow.

Along the way, Tim and Shawn cover:

• Why reading Save the Cat, McKee, and MasterClass doesn't translate into being able to write a mythic story, and what Aristotle's subject-and-predicate has to do with it
• The chicken sexing model of learning: repetition plus feedback from someone who knows, instead of theory first
• What Shawn actually meant when he told Tim, after two full manuscripts, that he couldn't write a sentence
• The five commandments (inciting incident, turning point, crisis, climax, resolution) as five "criticalities" of everyday experience, and how each one can be written as one sentence
• Antagonism and protagonism as forces, not roles, and why antagonism isn't the bad guy
• Why Story Grid students are limited to one sentence per commandment
• Tim's guitar and jiu-jitsu comparisons, and why writing is harder to self-correct than either
• Flow state, Mihaly Csikszentmihalyi's Flow, and why feeling like you're taking dictation from the muse doesn't mean the writing works
• Journaling versus writing: the difference between monologue and a dialogue with a reader
• The Aunt Louise test for whether your five sentences are actually working

Also mentioned: Brent Spalding, a Story Grid student whose novel was published by Story Grid Publishing.

Books referenced

• Flow by Mihaly Csikszentmihalyi
• On Writing by Stephen King
• Story by Robert McKee
• Save the Cat by Blake Snyder

This will be the final episode of the Story Grid Podcast for the foreseeable future. Tim gives some background on why this decision was made along with an update on his current writing project and other happenings around Story Grid.

Access the full Story Grid analysis of Crazy Rich Asians at https://storygrid.com/crazy.

What can writers learn from studying this 2018 film?

This is the final in a four part series analyzing Crazy Rich Asians. The screenplay was written by Peter Chiarelli and Adele Lim and the movie was based on a 2013 book of the same title written by Kevin Kwan.

This episode is hosted by Story Grid Certified Editor Rachel Arsenault (https://www.rachel-arsenault.com) and Tim Grahl, writer and CEO of Story Grid.

Access the full Story Grid analysis of Crazy Rich Asians at https://storygrid.com/crazy.

What can writers learn from studying this 2018 film?

This is the second in a four part series analyzing Crazy Rich Asians. The screenplay was written by Peter Chiarelli and Adele Lim and the movie was based on a 2013 book of the same title written by Kevin Kwan.

This episode is hosted by Story Grid Certified Editor Rachel Arsenault (https://www.rachel-arsenault.com) and Tim Grahl, writer and CEO of Story Grid.

Access the full Story Grid analysis of Crazy Rich Asians at https://storygrid.com/crazy.

What can writers learn from studying this 2018 film?

This is the first in a four part series analyzing Crazy Rich Asians. The screenplay was written by Peter Chiarelli and Adele Lim and the movie was based on a 2013 book of the same title written by Kevin Kwan.

This episode is hosted by Story Grid Certified Editor Rachel Arsenault (https://www.rachel-arsenault.com) and Tim Grahl, writer and CEO of Story Grid.

Access the full Story Grid analysis of Crazy Rich Asians at https://storygrid.com/crazy.

What can writers learn from studying this 2018 film?

This is the first in a four part series analyzing Crazy Rich Asians. The screenplay was written by Peter Chiarelli and Adele Lim and the movie was based on a 2013 book of the same title written by Kevin Kwan.

This episode is hosted by Story Grid Certified Editor Rachel Arsenault (https://www.rachel-arsenault.com) and Tim Grahl, writer and CEO of Story Grid.