Dungeons and Dragons runs on a group of players voicing characters. A Game Master, called the Dungeon Master in D&D, plays the world back at them, and the dice settle what happens. No script. Everyone inventing at the table, out loud, in real time.

Brennan Lee Mulligan runs those tables for a living. He’s the GM behind the Dimension 20 series, and he trained at the Upright Citizen’s Brigade improv school in Los Angeles, where performers build a scene from nothing but attention and instinct.

A note he gives players has been circulating through the tabletop world, and it turns out to be a great note about scenes.

Players who follow it swear it turned their characters from cardboard into people. He calls it “role play rocket fuel.”

The trick: Care about something. Form opinions about the people and places in front of you. Like, distrust, resent, and want.

Emily Axford puts the practical version another way. “Consciously care.” Decide what your character feels about the person across the table, then play that emotion.

Reads like acting advice.

This tabletop note and my screen scribbler’s craft are buddies. The thing that lets a player generate an opinion on demand is the same thing that will make your scenes breathe.

A character who wants something can’t stay neutral. The want does the work the personality gets credit for.

Tabletop Note As Scene Note

Weak players lack objectives.

They chill at the table waiting to be handed a personality, treating every NPC like a vending machine for the plot. Nothing lands because nothing is at stake. They don’t know what they want, so they don’t know how to feel about anything or anyone.

Watch what happens the second a want shows up. Things help them get the thing. Things block them from the thing. Human beings form opinions about both, instantly, without being told what to do.

You don’t invent the opinion. The want invents it for you.

Mulligan calls the player a single light source and each character a pane of stained glass. He doesn’t ask players to invent new psychology every campaign. They adjust emphasis, not identity. You don’t build a new soul. You turn the dials. More compassion here. More ambition there. A little more recklessness than you’d allow yourself IRL. The light stays constant. The want bends it.

A scribbler hands a character a want and watches the opinions assemble themselves around whatever helps or blocks it.

Wants Divide the World

Look at The Social Network.

Building Facebook is Mark’s strategy. His want runs underneath it: prove I’m worth something. Run the room through that lens. Erica rejected him. Harvard clubs won’t let him in. Winklevi look at him like cheap shoes. Eduardo should have his back and keeps flinching.

Three opinions, maybe four, and the scribbler invented none of them. They flare out of the want like sparks off a grinder. Every opinion traces to one source. Whatever helps him, Zuck embraces. Whatever blocks him becomes an enemy.

This gives you a diagnostic for any scene that feels flat. Ask:

What does every character in this scene have an opinion about?

When the answer is nobody, nobody in that scene wants anything. A room full of people who want nothing is a room with zero story oxygen. Actors will feel it before you do. You’ll get the classic notes — I don’t know what I’m playing. What’s my objective. What am I trying to get out of this person. What do I want.

No want, no opinion. No opinion, no behavior. No behavior, no scene.

Check both sides of the table. When only one person walks in with an agenda, you scribbled a speech with a witness.

Let the Audience Solve It

Screen scribblers and role players part ways at this bit.

A player voices the opinion out loud. That’s the game at the table, broadcasting feeling so everyone has something to build on.

A scribbler buries it. The audience wants to catch the want on its own. Watching someone solve the equation. Doing the math for them kills the lean-back enjoyment.

Let those opposing wants collide and keep the wanting unspoken.

In Jaws, Brody wants the beaches closed and Vaughn wants them open. Both men chase something that can’t share the same Fourth of July festivities. The scene catches fire because their wants are incompatible. Tension is opposing wants with nowhere to go.

Trust behavior to carry the truth. Michael volunteers to kill Sollozzo, and the whole family rearranges around a man they thought was the soft one. Rick puts Ilsa on the plane, and the choice says everything a speech would have ruined.

Nobody narrates their wants. The action reveals it, and the audience leans in.

Want generates opinion. Opinion generates action. Action generates story.

That thread runs under improv, roleplay, and screen scribbling. Actors, players, and audiences chase the same thing. People pursuing something they care about while somebody stands in their way.

Give your characters a WANT worth having and the opinions will introduce themselves.

Video inspiration: Brennan Lee Mulligan on roleplay rocket fuel

Widow’s Bay is a cursed-island box. A mayor sells his dying New England town as the next vacation spot, tourists come, and a curse wakes up with them. It pulls the oldest trick in the genre and stacks questions about a town nobody fully understands.

As I watched the first nine episodes, I kept waiting for the box to curdle the way these usually do. It didn’t.

That sent me back to a post I scribbled a while ago. It split storytelling into two roads.

A Mystery Box keeps the answer hidden and runs on the pull of the question. What is the island. What’s in the hatch.

A Magic Show reveals the trick up front and wins you with the execution, the way a heist plays out while you watch every move.

Lost ran on the mystery. Columbo ran on the magic, the killer named in the first five minutes.

Widow’s Bay is the newest entry in that argument. Three others have been getting graded in public. From. Severance. Yellowjackets. All live and die on questions. Judged on whether the questions were even worth asking.

The Line I Drew Wrong

My original post made it a clean pick between the two roads. Mystery Box or Magic Show.

That was a mistake. Whether you hide the answer or show it changes how the story feels. It doesn’t tell you whether the story works. Those are two separate questions. The first is about presentation. The second is about payoff, and only the second decides whether an audience sticks around.

Presentation doesn’t predict payoff. Mystery Box can pay off every question it raises. It can also stiff you. Magic Show can earn its telegraphed reveal. It can also let it land flat. Hiding and showing sit on one axis. Earning sits on another.

Breaking Bad is a Magic Show that pays off everything it forecasts. Leftovers is a Mystery Box that never answers its big question and earns anyway, trading the puzzle for the people.

An earned mystery pays rent every episode. A reveal lands, the characters live with it, the world shifts, and something settles even as the bigger question stays open.

An unearned mystery runs a tab. It keeps ordering questions on credit and promises to settle up in a finale that may never arrive, or may arrive and bounce.

Mystery Box and Magic Show both still work. The only question that counts is whether their answers are worth the wait.

From: The Box That Learned From Lost

From is Mystery Box in the purest form. A town nobody can leave. Monsters at night. Questions stacked to the rafters. On paper, the exact machine that burned a lot of goodwill on ABC last decade.

It works because of who runs it. Jeff Pinkner, a Lost veteran, shepherds the show, the series that built the modern box and caught hell when the lid was lifted. I scribbled in that world season one. I know the lessons its lessons well.

From’s season four arrived in April 2026 and tightened the screws. The residents close on the answers they chase, and the search turns more terrifying. Then MGM+ committed to a fifth and final season and a real ending, shooting toward a 2027 close.

That is the landing under the box. A box with no landing keeps every question in the air, circling, until the payoff never comes. The landing is a confirmed ending, the spot every question is descending toward on purpose. The team knows where the plane sets down, so each question reads as a waypoint.

Widow’s Bay: The New Box, Landing Right Now

Widow’s Bay runs the From playbook in a comedic key. Cursed island. History of fogs and disappearances the locals believe and the mayor refuses to. He sells the place as a vacation spot, tourists arrive, the curse clocks in.

Critics reaching for the mystery-box label say this show teases hidden developments and then pays them off, instead of leaving red herrings and narrative noise. One singled out a flashback episode on the town’s origins as justified weight that earns its place. That’s the earned mystery paying the rent as it goes.

The scares sit on character wounds. Tom’s need to control a son slipping out of his reach. His aid Patricia’s loneliness. Wyck’s regret. One reviewer admitted the pull toward a second season is not the mystery, it’s the characters.

But those same reviews worry a show this dense can get too complicated and stack questions faster than it settles. The finale airs soon. So I’m scribbling this with the box closed, which makes Widow’s Bay the cleanest test my framework will get this year.

Severance: The Box Running on Feeling

When Severance came back, it reminded everyone why the box worked.

Its central question is a wound. What do you owe the version of yourself that only exists at work? An emotional question wearing a sci-fi coat, so every reveal hits the heart on the way to the head.

Season Two drew acclaim and ended on a cliffhanger. A few critics flagged the risk. A show this good at posing questions can scribble itself into a corner it can’t pay off. Emotional fuel does buy enormous patience. But eventually, that patience runs out.

Severance is the Magic Show and the Mystery Box holding hands. It shows you the wound, then hides the mechanism. The wound keeps the contract alive while the mechanism stays sealed.

Yellowjackets: The Warning

Yellowjackets season three finally answered the big ones. Who the Antler Queen is. Who goes in the pit. The long-standing questions.

A chunk of the audience walked away with more questions than they brought in. Some reveals deflated the mystique. The season spawned new questions faster than it resolved old ones.

That’s the failure state I missed in my first post. A mystery can answer itself and still feel unearned. Answering a question and paying it off are different jobs. The answer has to cost something. It has to land on a character and change them. Drop a reveal and sprint past it, and the audience will feel hollow.

The Emotion Dealers Agree

A room full of showrunners landing actual finales in 2026 said the same thing in their own words. And none of them said puzzle.

The Outlander showrunner called the job being emotion dealers. The Boys showrunner said a finale works when the audience feels something saying goodbye, and the rest is gravy. Vince Gilligan described his process as a road map you follow while staying ready to jettison the good idea for the better idea. The Fallout showrunner framed it as a plan you build toward, while keeping the flexibility to change.

A plan you build toward. That’s the floor again. The Magic Show principle, confirmed by people flying planes to destinations.

Which One Wins Long-Form

The earned mystery wins, in either costume. Hide the answer or show your hand, it makes no difference to the audience. They’re tracking two things. Did each chapter pay its rent. Is somebody steering toward a real destination.

From is winning because it found its floor. Severance is winning on emotional fuel and gambling it has a landing waiting. While Yellowjackets is the reminder that answers without aftermath can leave the same bad taste as no answers at all.

Widow’s Bay is the one still in the air, paying rent episode to episode, betting it can build the floor before the tab comes due.

UPDATE: Just watched season one finale — it was awesome. They landed the plane safely and it’s in good shape to fly again.

Some Examples

A reference list, sorted by presentation only. Any of these can earn its keep or run a tab.

Magic Show — You see the trick. The grip is execution.

A few of these I worked on, which is the only reason I can tell you what the room was actually solving for.

• Columbo. The cold open shows the murder and the murderer. The whole hour is watching the little scruffy guy take it apart. The format earned its own name, “the howcatchem.”

• Hannibal. You know what Lecter is long before the FBI. The grip is watching him set the table as Will Graham circles the truth.

• Alias. The pilot hands you Sydney’s secret. She’s a double agent inside the agency she’s fighting. You hold it and watch her work, with the Rambaldi mystery running underneath.

• Breaking Bad. Flash-forwards hand you the wreckage early, the charred bear, the ricin vial, the M60 in the trunk. You watch Walt build toward it.

• How to Get Away with Murder. Opens on a body and a cover-up, then rewinds toward the moment the premiere already showed you.

• The Americans. The pilot tells you they are deep-cover KGB. Every episode runs with a sword overhead.

• Chernobyl. History already spoiled the explosion and the cost. The hold is the how.

Mystery Box — The answer is hidden. The question pulls.

• Twin Peaks. Who killed Laura Palmer? The question that built the modern box.

• Lost. The island, the hatch, the numbers. A whole generation argued about, and the box caught hell when lifting its lid.

• Heroes. Save the cheerleader, save the world. A sprawling box of powers and villains, with Isaac’s paintings forecasting a future the season races toward.

• Westworld, season one. What is real, who is a host, what the maze means.

• True Detective, season one. The Yellow King and Carcosa, dangled for eight hours.

• Dark. A time loop where the pull places everyone across the decades.

• The Leftovers. What caused the Sudden Departure? It refuses to fully answer, proving how little the box matters once the feeling lands.

Screenplays roll on a one way railroad track. Readers board at FADE IN, ride all the way to FADE OUT, never getting the option to switch tracks. My RPG books run looser, a toy box of people and places waiting for a Game Master to deploy on the tabletop.

A text adventure is a story you click through instead of read straight. It hands you a scene, gives you a few options, and your choice decides what happens next.

If you ever read a Choose Your Own Adventure book as a kid, jamming two fingers between the pages so you could back out of the death you just walked into, you already know the shape of this.

No graphics, no joystick. Words on a screen and a handful of choices. Right in your browser. I’ve got four of them live now, in very different worlds.

Two sit in Terra Conflictus, my drowned and overheated future circa 2066 and beyond. In High Water you roam a flooded London and decide which of four factions inherits the wreckage. In Tag the Launch you run one illegal street race against a countdown.

The other two live in The Eternal Court, my gaslamp fantasy from an alternate 1793 where the living climb the mountains to petition a parliament of the dead.

In The Petition of Szurkevolgy (Narrative map in photo above) you carry that petition yourself, a half-frozen villager hauling a sealed letter up to a city of immortals.

In The Null Set you show up as the heroine of my TV Pilot, a steampunk accountant dropped into a perilous predicament.

Past the simple fact that making these is fun, they can be a solid structure test. You can’t fake a story branch. The second you ask what the player can actually do in a scene, every soft spot alights. A scene with no real choice in it. Characters who want nothing. The bit where the story is just rearranging furniture.

Making your heroes journey walkable can reveal exactly where it was never leading anywhere.

Your script has rooms and doors and people with agendas. A Text Adventure lets somebody else explore it. Kind of like you did when scribbling. Making keystroke discoveries about what price your characters pay when making dramatic narrative choices.

If you’re in the mood to build your own with a desktop LLM like Claude Code or Codex, here’s the prompt I used. You can run its output locally or host online easily with a service like Netlify.

Interactive Adventure Builder — Shareable Prompt

122KB ∙ PDF file

Download

Download

A hundred and twenty pages is a lot to hold in your head. Most scribblers try anyway. They plant their logline, take a deep breath, and charge at the whole feature in one mad sprint.

Around page thirty-five, the story can stall. Momentum dissolves. The middle becomes purgatory. A wasteland between a good beginning and an ending you haven’t been figured out yet. So you quit. Oof.

My Modular Story Method divides a feature into four connected but self-contained arcs. Not four acts. Four arcs. I call them Reels.

Each one runs twenty-five to thirty pages. Each with its own beginning, middle, end, dramatic question, and emotional turn.

Four thirty-page short films that click together into one movie.

Every Reel stands alone. None of them are disposable. Each one completes something and opens something right up. A Reel that only feeds the next Reel is just a relay baton. A Reel that earns its own emotional weight and still feeds the next one is a story.

What the Four Reels Do

Each Reel has a job and an emotional arc.

Reel One: The Call to Adventure. The world breaks open. The protag resists the disruption, then commits to a path they can’t walk back from. The emotional move: reluctance to engagement.

Test it this way: Could this play as a complete short film about a person waking up to a new life?

Reel Two: The First Trials. The protag enters the arena, scores early wins, starts to feel like they’ve got it figured out. Then the midpoint yanks the rug. The emo move: confidence to uncertainty. The midpoint reframes the story. Stakes rise.

Test it this way: Could this play as a complete short flick about a person who masters the rules of a new game, only to discover the rules were never what they thought?

Reel Three: The Crisis and Transformation. Pressure turns inward. Support disappears. The old plan breaks. The protag hits bottom and is forced into painful self-recognition before any way out can coalesce. The emotional move: struggle to despair to new resolve. This is the Reel most scribblers rush, soften, or skip. Don’t.

Test it this way: Could this play as a complete short about a person stripped of everything they were counting on, forced to reckon with who they really are?

Reel Four: The Rise from the Ashes. The protagonist returns with clarity, executes their final plan, pays some real cost, earning catharsis. The emo move: fear to purpose. The climax resolves the outer problem and the inner wound simultaneously. Anything less is a chase scene with a button.

Test it this way: Could this play as a complete short about a person who already knows the cost and chooses to pay it anyway?

Stories Breathe

Structure without emotional rhythm is just scaffolding. The Modular Method runs on a two-beat pulse.

A Scene is external movement: goal, obstacle, conflict, decision. The character does something.

A Sequel is internal processing: reaction, reflection, regrouping, resolve. The character absorbs what happened.

Stories act, then absorb. Push, then process. A scene that hits hard and moves on without consequence will feel hollow. A scene that earns its aftermath feels earned.

The Scene/Sequel rhythm builds momentum without losing meaning. Each Reel ends on a specific beat type —

Reel One ends on a Sequel: reflection and commitment.

Reel Two ends on a Scene: reversal that demands continuation.

Reel Three ends on a Sequel: emotional collapse that makes Reel Four necessary.

Reel Four ends on a Scene: climax and catharsis.

That alternating handoff runs the engine across all four modules.

Why A Modular Approach In 2026?

The industry wants proof of concept. It wants something it can test, pitch, serialize, or extend before committing to the whole.

Four Reels give you that. Each Reel can be developed independently, released as a YouTube short, dropped as an episode arc, adapted as a game mission cluster, or used as an element of your pitch. The modular format can be your structural advantage.

Scribble the story in pieces. Make every piece emotionally complete. Test one Reel and learn from it before building the next. And you don’t need to write these Reels in linear order.

Whatever it takes to ABS. Always. Be Scribbling.

Below is a free PDF. A Modular Story Method guide goes well beyond the Reel overview and gives you a full toolkit:

• The Narrative Node: A six-part scene framework built around Situation, Power, Want, Texture, Decision, and Consequence, with a complete diagnostic checklist for every beat you build

• The 34-Beat Grid: All 34 dramatic jobs mapped by Reel and sequence, flexible enough to use as a diagnostic kit on any format from feature screenplay to game arc

• The Eight-Sequence Architecture: Full breakdowns of all eight sequences with end-state descriptions and function notes

• Scene and Sequel Diagnostics: Pressure-test questions at the scene level, the sequel level, and the sequence level

• Platform Application: Scene/Sequel ratios and modular use cases tuned for features, web series, podcasts, game narrative, serialized fiction, and transmedia experiments

• Reference Film Examples: Specific films mapped by Reel, with breakdowns of why each one works as a structural model

The Modular Story Method Black & White (print At Home)

229KB ∙ PDF file

Download

Download

I cranked out spec script after spec script. None of them sold. The pages were good-ish. They hit the beats, had cool ideas I’d cribbed from movies and video games. They had a confident voice, albeit immature. No sale. No career. I thought I was failing.

I wasn’t. I was demonstrating that I could deliver pages of consistent quality, on time, again and again. My pile of unsold scripts wasn’t a graveyard. It was proof. Eventually, it was consistency and reliability that opened doors, not just my pages.

What Your Samples Actually Do

Nobody reads your emails or takes meetings without proof you can structure story, hold voice, and finish your drafts. Samples prove potential. Showing you have chops, taste, and imagination. This can get you in the room. The next bit requires different skills.

The Part Nobody Warns You About

When somebody hires you, they aren’t just betting on your talent. They’re betting their own paycheck. If you blow it, they don’t just lose a draft. They look like an idiot for picking you. They burned some political capital to get you the job. Vouched for you to their boss, creative director, or studio prez. Their judgment will be dragged into the conversation right alongside your pages.

So when a producer reads your spec, they’re running two questions in parallel. Question one: Can this person write scripts? Question two: Can I trust this person not to make my life harder?

The second question will often determine who gets the job.

For Screen Scribes: Proof By Products

Prove reliability by getting attached to something tangible. An indie short, web series, audio fiction project, somebody’s proof-of-concept, a friend’s micro-budget feature. It doesn’t matter how scrappy it is. What matters is proving you’re in the game and that real people can depend on you to help them score goals.

And if you can get a proximity gig where story and production decisions happen, snag it. Assistant tracks are brutal and underpaid, but can get you adjacent to the real power brokers.

For Game Scribes: Support The System

Similar logic, different shape.

I love a good lore bible. But if every piece of work in your portfolio lives in background documents, you haven’t shown that your writing functions when somebody is actually playing the game.

Join a game jam. Find a mod team. Work with an indie crew making something tiny. Vibe your own code completion. Show implemented dialogue. Show barks, item text, conversation trees, and quest design. Show revision notes from a real producer who told you to cut your favorite line because the VO budget evaporated.

Behavior Beats Brilliance

Be the one who can take a half-formed note from a sleep-deprived showrunner and come back with three viable options. Be the one who cuts their favorite joke sans sulking. The one who rewrites around a location that just fell out, an actor who can’t say a certain word, or a budget cut that removed your third-act set piece.

You can’t fake that behavior in samples.

You need to build it on real projects, with real people, under real constraints. Where your decisions have consequences for somebody besides yourself. If sample proves potential. A real project proves you can be trusted with somebody else’s reputation.

ABS. Always. Be. Scribbling.

Mark Pincus founded Zynga. In his book Life at the Speed of Play, he lays out a creative framework that sounds counterintuitive the first time you hear it.

He calls it Proven. Better. New.

Find something that already works. Make it better. Add something original.

Deceptively simple. The reason it works is because every successful creative industry already operates this way.

The key insight is where you direct your energy. Many creators waste enormous amounts of their time reinventing solutions audiences have already accepted. Energy spent rebuilding proven systems is energy that could have gone toward crafting emotional and experiential differentiation.

Game Developers Have This Figured Out

Nobody in games wins awards for inventing a new inventory screen. Nobody buys a game because the daily rewards system is revolutionary. Players care whether the game is fun.

Mechanics are scaffolding. Experience is the product.

Screen scribes operate out of a different floor in the same building. The scaffolding exists. What will you build inside it?

Don’t Reinvent Structure

Many aspiring scribblers go sideways by striving to craft new story structures. New character archetypes. New approaches to scenes. The result is often confusion, not originality. Even both.

Storytelling is one of humanity’s oldest technologies. The fundamentals aren’t broken. Conflict works. Reversals work. Character arcs work. Mystery works. Cliffhangers work.

You don’t get points for replacing them. You get points for using them effectively to trigger emotions and inspire engagement.

The Spec Market Wants

There’s a persistent misconception that spec buyers want what they’ve never seen before.

They don’t. They want something they recognize immediately and remember afterward. Successful specs run a familiar engine wrapped around a fresh idea.

A detective story with a new setting. A thriller with a new premise. A horror movie with a monster nobody’s seen before. A familiar genre refracted through a specific, unexpected lens.

The audience needs enough familiarity to understand the ride. Enough novelty to justify buying a ticket. Like what Mark Pincus calls - Proven. Better. New.

The Framework for Scribblers

Proven is stuff that already works. Structure. Conflict. Escalation. Character goals. Emotional payoffs. Don’t spin your wheels redesigning the wheel.

Better is execution. Dialogue. Pace. Scenes. Character. Where professionals earn their living.

New is the originality bit. Premise. Perspective. Setting. Combinations nobody’s tried. Don’t spread originality evenly across the script. Concentrate it where audiences will actually notice it.

Three jobs. Three distinct places to put your energy. Scribblers who can figure out which is which tend to survive versus those who treat every page like it’s a blank canvas.

Masters Understand

Recognize excellence and leave it alone.

Most inexperienced scribes will change things just to prove they changed things. Experienced scribblers will know some solutions survive because they’re already close to optimal.

Recognizing what works is every bit as critical as inventing something new.

That principle doesn’t stop at the script. It runs through every level of the craft. A room of scribblers keeps reworking a scene that already works. A showrunner rewrites a performance out of habit. A franchise loses audience by renovating something nobody asked them to adjust. An adaptation that mistakes fidelity to plot for fidelity to what made the source material resonate.

Sometimes the smartest creative decision isn’t adding something. It’s preserving something.

Questions Worth Asking

When you’re developing a screenplay, ask -

— What am I borrowing because it already works?

— What am I improving through my execution?

— What am I contributing that feels uniquely me?

If you can answer all three of those cleanly, you’re probably directing your creative energy in the right direction.

And don’t forget — Audiences rarely remember the plot/mechanics. They remember the emotions/experience.

Proven gets them in the seat. Better keeps them in the chair. New is the reason they’ll remember your script instead of the hundred others they’ll read that month.

I’m speaking at GamesBeat today about emotional equity in IP. The critical layer inside games, TV, film, and franchises that sustain generational loyalty.

Stakeholders are trained to evaluate metrics: engagement, retention, monetization, reach, conversion. Those matter. But enduring IP survives because of something far harder to quantify.

Star Wars feels mythic, aspirational, rebellious, and romantic.

People rarely stay loyal to a franchise because they remember plot mechanics or details of the lore.

They stay because they remember how the world made them feel.

Gameplay creates activity. Emotional connection creates residency.

Resident Evil feels like vulnerability and dread management.

Dark Souls feels like perseverance and earned mastery.

Animal Crossing feels like comfort and routine.

Pokémon feels like friendship, discovery, and possibility.

Magic: The Gathering is ritualized social identity as gameplay.

None of those descriptions are mechanical. They’re emotional.

Fans remember feelings longer than lore.

When audiences say “it doesn’t feel right anymore,” they’re not talking about canon. But a break in emotional coherence. They’re protecting the contract they thought they had with the franchise.

Great IP becomes identity infrastructure.

The strongest fandoms often form between ages 10 and 14. Nostalgia usually isn’t about revisiting content. It’s about revisiting an emotional state. People return to the worlds that helped shape who they were, or who they hoped to become.

Fandom behaves more like culture than consumption.

Cosplay, memes, conventions, rituals, fan theories, aren’t just marketing artifacts. They’re rituals. Participatory acts of attachment. The tribe often matters as much as the text itself.

This becomes critical during adaptation and franchise expansion.

Mechanics are medium-specific. Emotional experience is not.

Arcane worked because it translated the emotional core of League of Legends, not because it recreated gameplay on screen.

The Last of Us succeeded for the same reason.

Emotional accuracy matters more than literal fidelity.

Stakeholders don’t necessarily need to personally love the IP they’re managing. But someone in the room must grok the IP’s emotional contract with the audience.

Metrics can measure engagement. They can’t fully measure meaning.

That’s the challenge of auditing emotional equity. The valuable long-term elements of a franchise are subjective, emotional, cultural, and relational. They resist clean spreadsheets, yet they’re often the reason audiences stay attached for decades.

Long-term franchise value is more than recurring engagement. It’s enduring emotional residency.

Eight Questions For Every IP Stakeholder

— What emotion does this consistently create?

— What emotional need does it fulfill?

— What identity does it reinforce?

— What community behavior does it inspire?

— Does the audience trust the caretakers?

— Can the emotional experience survive transmedia shifts?

— Are we protecting canon, or protecting emotional truth?

— Does this emotionally feel like the franchise?

I’m a screen scribbler. I write TV shows, movies and video games.

All these things that I’ve worked on sit somewhere around the tech, intelligence, military, scientific systems; that kind of stuff has always been part of my specialty.

Over the years, that put me in some very cool rooms with people who actually work in those spaces. I’ve worked with CIA people and military people, been to NORAD and Space Command, made connections over the years with very interesting people in that community.

A few years back, I got a weird email through a secondary Signal account that I use for anonymous tips and such when I’m doing research. This message didn’t have any identifying info, but referenced some of my work and suggested whoever was sending it knew some of the people that I did.

The source claimed that they were part of a program connected to CERN, which is that crazy Hadron Super Collider in Switzerland. The way they described their work wasn’t something I knew about.

They were using quantum states and tech to tap into space-time, but not for time travel. It was more about resolving probabilities and grabbing usable data out of that, like hacking future information streams, is sort of how I wrap my head around it.

I figured this was a prank or AI spam, so I didn’t respond. A few months later I got another email, and this one had an attachment.

The files were weird; all kinds of different formats, and some I could access using like Winrar and just sort of unzipping and using steganography to unpack what was buried in some images.

It referenced events and organizations and timelines from 2060, essentially into 2105, and other events that hadn’t happened yet.

There wasn’t a pitch; I thought maybe someone was trying to sell me on something or convince me of something I had no idea about.

The more I looked at it, the more I wondered: was this stuff real? Was it fake? I started seeing patterns across the fragments that connected and made assumptions about future conflicts and logistics, seeing failure repeating with grounded variation and sometimes contradicting each other, with all these weird gaps.

My first instinct was reconstruct it, so I ran chunks through Claude and ChatGPT to get it organized, but that didn’t help. The outputs were clean, but flattened, and almost felt even more bogus.

I was thinking that disclosing this in a traditional way wouldn’t make any sense and would just make me look like an insane person.

I thought, well, why don’t I just start messing around with it like a game?

I’ve done some narrative design, but it’s not my core domain of expertise. So, I brought AI back in to help me build game systems: dice and thresholds and modifiers, to play through future events.

It has to be a hoax, this whole thing, maybe it is, maybe it isn’t. I have no idea; there’s cool stuff here, but either way, I get to play with it, and now — you can too.

If I get more messages from the source, I’ll update the material, for whatever that’s worth.

Real? Fake? No idea. Either way, it’s the kind of stuff I’m into.

I hope you take this madness in the spirit with which it’s being shared. Have a look at your own peril, or click away.

www.terraconflictus.com

ABS

Always. Be. Scribbling.

J

I watched a video this morning where a software guy was talking about what AI is doing to coding. Halfway through I realized he was describing screenwriting too.

His argument: the code isn’t the real program. The real program is the model in the developer’s head. How the parts connect. What depends on what. What breaks when something moves. The code is just the visible residue of that thinking.

Same for scribbling.

The script isn’t the movie. The script is the shadow cast by the scribbler’s understanding of the movie. Structure, character, escalation, rhythm, payoff, subtext, theme, production reality, audience expectation. All of it working together, or not. Those pages in Final Draft on your screen are just the part you can see.

That distinction matters more now because AI can generate pages the same way it generates code. It can produce something that looks finished long before it’s coherent.

The Trap

A new coder can crank out functional-looking code without understanding architecture. A new scribbler can crank out scenes, outlines, dialogue, backstory, pitches, and beat sheets without understanding dramatic architecture.

In both cases the output looks polished enough to impress somebody for five minutes. In both cases the trouble shows up later, when the thing must survive contact with reality.

For software that’s scale, bugs, user behavior, broken integrations.

For us it’s development notes, actor questions, budget cuts, runtime pressure, second-act drag, dead character arcs. A pilot that can’t sustain a season. A feature that loses altitude after page thirty. A scene that reads just fine but does zero story work.

That’s where pros earn their keep.

Story Is a System

Change the protagonist’s goal in Act One and what ripples forward? Cut a supporting character and what exposition vanishes, what emotional processing disappears, what later scene no longer lands? Move the midpoint and what happens to the shape of the second act? Cut a location for budget and what function must be reassigned somewhere else?

Those are system-level questions. Every TV scribble room I’ve ever camped in spends most of its time on those, not on the lines.

On Lost we’d spend whole afternoons figuring out which character knew what, when, and what got broken if we shifted a reveal one episode earlier or downstream. On Hannibal, Bryan Fuller could spot a tonal misfire in episode three that was actually an issue from something in the pilot. The systems thinking is why the suits give you a paycheck.

Why The Apprenticeship Mattered

Senior coders learned by shipping things that broke. By misjudging complexity. By debugging under pressure from their managers.

For me, it was scribbling drafts that didn’t work. Getting contradictory notes. Pitching dead stories. Solving structural problems too late and watching actors expose weak character logic. By discovering a scene can be witty and still be useless. That a script can be well-crafted and still not deliver what’s needed.

That pain was part of the training. It was inefficient and frustrating and sometimes brutal, but it built pattern recognition. Shaped my taste. And taught me how to diagnose deeper problems beneath the surface symptom.

AI threatens to remove some of that friction. Not good when friction was doing a critical part of the teaching.

That’s what I want my son to hear, and any other young scribblers reading this. AI isn’t the problem. But if you use it to leapfrog the struggle without building up your underlying mental model, you’ll get faster at producing pages while you’re getting weaker at understanding story.

You can become fluent in screenplay-formatted material without becoming strong at dramatic design.

Instruments vs. Conductor

The software guy used an orchestra metaphor. AI can play instruments. Violin, brass, drums, whatever you ask for. But somebody still needs to conduct. Somebody needs to know what piece is being played. When the tension should build. When a motif should return. When a beat of silence matters more than crescendo.

AI can generate dialogue. Punch up your jokes. Spit out alternate scene variations. Suggest reveals, twists, archetypes, loglines, comps, and even tonal imitations. Those are the instruments.

It doesn’t know, at least not the way a working dramatist knows, what the whole arrangement is supposed to be doing emotionally. It can’t feel when a reveal lands two scenes too early and drains the next sequence of tension. It can’t know that a charming supporting character is quietly stealing the oxygen the protagonist needs. Or when two individually good scenes are wrong because their placement ruins pace and rhythm.

It can help you produce the music. But it’s not a conductor.

What The Job Actually Is

The scribblers who last won’t just be the ones who can get their pages out 10x faster than before LLMs were a thing. They’ll be the ones who can look at a story and ask the right systems questions.

Where does the audience’s understanding of the story actually live? Where does emotional feedback live? What breaks if I pull this scene? What carries too much weight? What’s decorative but not load-bearing? Where does the protagonist change, and what pressure creates that change? What information is being repeated because the story doesn’t trust itself?

Those questions make you a scribbler instead of a page generator.

AI doesn’t kill screenwriting. It raises the value of the part of scribbling that was always the real job. And it lets more people skip the apprenticeship that used to build that skill via failure.

Now the apprenticeship needs to be more intentional and disciplined than ever.

For the scribblers who choose to train their story judgment on purpose, who learn structure deeply, who study pressure and payoff and transformation, and explore emotional complexity, using AI as a tool instead of a substitute, the gap will be wider than ever.

ABS. Always. Be. Scribbling.

The Rodriguez “Asset-Map”

Before scribbling a single word, inventory every tangible resource you already possess.

• The Model: Robert Rodriguez (El Mariachi) famously looked at what he had—a local bar, a school bus, a turtle, and friends. Then scribbled a script that required those specific elements.

• The Context: Don’t scribble for what you want; but what you have. Your cousin owns a print shop? Set the climax in a print shop. This chops the cost of locations and prop acquisition.

The Blum “Single-Location Rule”

Contain the physical scope to expand the emotional stakes.

• The Model: Jason Blum (Blumhouse) perfected the model of setting scary flicks in a single house or facility. Horror is a “commercial engine” because it relies on tension and spooky vibes that are often free vs. the expense of spectacle.

• The Context: One location cuts “company moves,” which are the primary drain on a production’s time and budget. By staying in one spot, you can invest more time in lighting and performance.

Nolan’s “Weekend Schedule”

If you can’t afford a crew’s day rate, remove the need.

• The Model: For his first film Following, Christopher Nolan shot only on Saturdays over a year. This allowed cast and crew to keep their jobs while still participating the project.

• The Context: Time is the only resource that can occasionally substitute for money. Shooting “long and slow” allows for extreme prep and prevents the burnout of a typical low-budget shoot that’s all about the “sprint”.

The Romero “News-Loop” (Narrative Encapsulation)

Use “found media” to expand scale without building a thing.

• The Model: In Night of the Living Dead, George Romero used grainy news broadcasts and technical radio briefings to explain a global apocalypse while the actors remained in one farmhouse.

• The Context: By cutting to a “technical briefing” or a “security feed,” you provide the audience with world-building that would otherwise require thousands of extras or CGI bucks.

The Smith “Dialogue as Action”

When you can’t afford movement, invest in rhythm.

• The Model: Kevin Smith (Clerks) shot in the store where he worked. Since the visual arena was static, he leaned into hyper-specific, subcultural dialogue to keep the audience engaged.

• The Context: High-quality dialogue is a “free asset.” If the conversation is compelling, the audience will forget they’ve been looking at the same four walls for ninety minutes.

Wan & Whannell’s “Psychological Hook”

Substitute physical action for a high-concept “Game.”

• The Model: Saw began as two people trapped in a room with a tape recorder. The “spectacle” wasn’t a car chase; it was the psychological puzzle they had to solve to survive.

• The Context: A strong “hook” creates a promise to the audience. If the central mystery or game is strong enough, the “production value” becomes the solution to that mystery rather than visual effects.

The Peli “Authentic Tech” Model

Make the limitations of your equipment part of the story’s DNA.

• The Model: Oren Peli (Paranormal Activity) turned a home security camera into the protagonist. Because the story was about being watched by a static camera, the low-resolution footage became a “feature” that added realism.

• The Context: Instead of trying to make cheap gear look expensive, lean into the “look” of that gear (security feeds, iPhones, body cams) to create a sense of voyeuristic intimacy.

  

I figured this out sideways. I was deep in designing tactical systems for a tabletop role-playing game. Pressure. Options. Consequences. I kept noticing how the machinery under a good tactical encounter worked. Then I looked back at the action scenes I’d scribbled over the years and recognized the same engine.

The Action Engine

Scribblers chase moments. Big visual hits. The spectacular image. That gives you fragments, not scenes.

The engine is simpler and harder to fake. Pressure forces a choice. The choice changes the situation. The change creates new pressure. That’s it. That loop is the spine of every action scene worth watching. Run it clean and the scene carries itself. Lose it, and no amount of gunfire will save you.

Goals Need Teeth

“Win the fight” is not a goal. It’s a placeholder.

You want a goal that can fail in interesting ways. Get the witness out before the building burns. Hold the position for exactly two minutes. Stay unseen while your cover is about to be blown. Capture the target without pulling the trigger.

Then stack a complication on top. Protect someone who doesn’t want protecting. Preserve the cover story while using skills that would blow it. Refuse to cross a line your character has never crossed.

Now the goal pulls in two directions at once. That tension drives behavior. The behavior builds the scene.

Kill the Easy Exit

If the direct solution works, there’s no scene.

So close it off. No clean shot. No safe retreat. No clear exit that doesn’t cost something. Now your character has to think, choose, and commit.

The shape underneath every good action beat is: problem, solution, new problem. He can’t cross open ground without getting shot. He flips a table and advances behind it. Now he’s pinned when it stops moving. She can’t beat a larger opponent in strength. She attacks the knee. Now he’s down and close enough to grab her. Each solution creates the next problem. That chain is the spine of your scene.

Create options that carry a price. One burns time. One risks exposure. One costs another character. When options hurt, choice carries weight and the audience leans in.

Character Decides the Move

Put two different people facing the same problem. You should get two different scenes.

One leans forward. One reads the room. One protects and one cuts loose. The question underneath every action beat is: why does this particular person make this particular call?

Answer that, and the scene stops being a stunt reel. It becomes a character scene with cool explosions.

Space Is Pressure

Location isn’t decoration. It’s an active force.

A narrow corridor forces commitment. Open space removes cover. A crowd scrambles everything. Darkness removes clarity. Locations should apply pressure before your character takes a single step.

Then you shift it. Lights fail. Fire spreads. Exits jam. The environment turns against the plan. Now the problem is evolving while the character is still solving it. That’s a cool scene.

Build in Turns, Not Movements

Listing actions doesn’t create momentum. Tracking change does.

Each beat needs to alter something real. Position shifts. Advantage flips. Options close. If the situation is steady from one action to the next, it stalls no matter how big the bang bang.

It goes like this. Beat one: pinned behind cover, no clean angle. Choice: move into the open. Cost: exposure spikes. Gain: new angle acquired, new problem created. The situation after the beat isn’t the situation before it. That change is the scene.

A practical tool: when you outline, list beats as state changes, not movements. Not “he punches the guard.” Instead: “guard loses control of the doorway.” Not “she runs to the door.” Instead: “the exit becomes unusable.” The verbs show up when you draft. But this forces the structure underneath to be narrative first.

Hard Pivot

A strong action scene doesn’t just escalate. It becomes something else halfway through.

A stealth approach becomes a chase. Escape becomes a rescue. Survival turns into sacrifice. Pivots reset the stakes without stopping the momentum. The audience thought they knew what kind of scene they were watching. They were wrong. Now they’re locked in.

You Need An Interior Beat

Action needs an interior beat. Not a pause, not a speech. A beat.

Something goes wrong. The character absorbs it. Understanding the cost. Then commit to the next move. That rhythm keeps the scene grounded in experience rather than motion. Without it you get a pure spectacle that is easily forgotten. Experience stays with you.

Control What the Audience Knows

Clarity carries tension. Track the essentials: where the exit is, what’s at risk, what failure means. The audience needs those three things. Beyond that, hold back. Keep enemy numbers unclear. Backup uncertain. Real doubt for your characters about pulling this off.

That balance keeps a scene legible and tense at the same time. Confusion isn’t suspense. But controlled uncertainty totally is.

Real Consequences

When your scene ends, something should be different.

Time lost. Trust broken. Position compromised. Something shifted internally that can’t be unshifted. An action scene that leaves the story exactly where it began isn’t driving your narrative.

State it simply: at the end of this scene, something that was true is no longer true. That change is what drives the story forward. The chop-sockey, gunfire, and boom-boom is the delivery mechanism.

Quick Diagnostic

When you need a fast read on whether a scene is working, run your beats through this rubric:

What’s the real objective? Why can’t it be done the easy way? What options are available? Which one gets chosen, and why this character? What changes as a result? What new problem appears? How does the space affect the decisions? What does this reveal about who this person is? What’s different when it ends?

One more, and it’s the hardest one: if you removed all the punches and gunfire, would the decision structure still be interesting?

If the answer is yes, your scene has a real spine. If not, you know where to go back in.

My Scribbler’s Takeaway

Action scenes don’t run on spectacle. They run on decisions under pressure.

Stack the decisions. Track the change. Let each move reshape the problem. Do that and the scene builds its own momentum.

The explosions take care of themselves.

Some Examples:

Goals Need Teeth: Top Gun: Maverick (2022)

The Scene: The final mission (The “Miracle Run”).

• The Goal: It’s not just “blow up the plant.” It’s “hit a three-meter target at high speed, pull 9Gs to escape a mountain wall, and do it all in under two minutes and fifteen seconds.”

• The Teeth: If they fly too high, they’re erased by SAMs. If they fly too slow, they miss the window. If they don’t hit the G-strain perfectly, they crash into a coffin of rock.

• The Takeaway: The “teeth” here are the literal physical constraints of the jet and the terrain. Every second on the clock is a decision: Do I push the engine and risk a flameout, or do I stay safe and fail the mission?

Space is Pressure: John Wick: Chapter 4 (2023)

The Scene: The Arc de Triomphe traffic circle.

• The Location: It isn’t just a backdrop; it’s a meat grinder of moving steel.

• The Pressure: Wick isn’t just fighting assassins; he’s navigating high-speed traffic that doesn’t stop for a gunfight. The space dictates the moves—cars become mobile cover, then weapons, then obstacles that split the fight in two.

• The Takeaway: The environment forces Wick to constantly recalculate. He can’t just stand and shoot; he has to time his reloads between gaps in traffic. The space is a character trying to kill him.

Character Decides the Move: Everything Everywhere All At Once (2022)

The Scene: The Fanny Pack Fight.

• The Decision: Waymond (Alpha-Waymond) needs to take out a room of security guards without “killing” his way through them, using only a fanny pack.

• The Logic: This isn’t a generic hero punch-out. Waymond’s movements are fluid, resourceful, and slightly absurd, reflecting the “verse-jumping” logic. He uses the fanny pack to extend his reach because he is a character who optimizes mundane tools.

• The Takeaway: If you put Batman in that room, it’s a 30-second beatdown. Because it’s Waymond, it’s a chaotic, rhythmic dance. The who dictates the how.

The Pivot: Mission: Impossible – Dead Reckoning Part One (2023)

The Scene: The falling train carriages.

• The Setup: It starts as a classic fight on the roof of a moving train (The “Escape” beat).

• The Pivot: The bridge is blown. Suddenly, the goal isn’t “beat the bad guy”; it’s “climb through a vertical train that is currently falling into a ravine.”

• The Takeaway: The stakes reset instantly. The horizontal chase becomes a vertical escape. The audience’s understanding of “safety” is yanked away, forcing the characters to make entirely new types of decisions (Do I grab the heavy gold bars for the mission, or let them go so I can jump to the next car?).

Kill the Easy Exit: The Batman (2022)

The Scene: The hallway fight in the finale.

• The Problem: Batman needs to reach a group of gunmen in a pitch-black hallway.

• The Easy Exit: A “generic” action hero might have a flashbang or a high-tech gadget to disable them from afar.

• The Constraint: He has neither. He has to walk down the hall, taking hits in the dark, using only the strobing light of gunfire to see.

• The Cost: He takes massive physical damage to close the distance. Every step is a choice to endure pain for the sake of the objective.

  

I was watching a YouTube vlog the other night from a combat veteran who’s fought in Iraq, Syria, and now Ukraine.

The infantry movement drills that kept him alive in earlier wars would get him killed almost immediately in Ukraine.

Not because he forgot how to fight. Because the battlefield changed.

What struck me wasn’t just the military insight. It was how familiar it felt. As he talked, I kept thinking, this is exactly what’s happening to scribblers and filmmakers right now.

Different tools. Different terrain. Same mistake people keep making.

Old Models Assume Fog

In Iraq and Syria, small units survived by staying unseen. You moved carefully. You used cover and timing. You trusted your eyes and instincts. Detection was human, intermittent, and imperfect.

That’ss how most of us were trained to think about filmmaking.

If you were good enough at the craft, if your script sang, if your directing chops were sharp, you could move through the system. You might get notes. Hit resistance. But talent created room.

That model assumed time. It assumed fog.

Those assumptions are gone.

Transparent Ground

In Ukraine, the battlefield is saturated with sensors. Drones. Thermal cameras. Networked observers. Software that turns a sighting into a strike in minutes.

The veteran’s point was simple. Movement itself is now the giveaway. Once you’re seen, you’re hit. There’s no hiding behind skill alone.

Filmmaking has entered the same phase.

Platforms see everything. Watch time. Drop-off. Replays. Scroll speed. Thumbnails. Engagement curves. Your work doesn’t move through fog anymore. It moves through dashboards.

You’re always being watched. Not by critics or executives. By systems.

Craft Fight vs. System Fight

The veteran said modern war is no longer about infantry alone. It’s about sensors, logistics, production, and replacement.

That framing maps cleanly onto what’s happening to creative work.

The fight is no longer just about making something good. It’s about how fast the platform detects it and how the system responds to its performance. It’s about whether it fits the cadence and cost structure, whether it can be replaced without friction.

Once content underperforms, the response is automatic. Promotion stops. Visibility drops. Something else fills the slot.

No sanctuary. No prestige shield. No waiting for word of mouth.

Heroics Fail

Old infantry doctrine celebrated bold movement and individual skill.

Old filmmaking celebrated the singular voice, the breakout hit, the career-defining project.

Those still exist, but they’re no longer the center of gravity.

In Ukraine, a heroic charge without ISR and fire support is suicide.

In media, a brilliant project without distribution, cadence, and system fit quietly disappears.

The systems reward throughput. The industry still talks about talent.

Logistics Wins

The veteran emphasized logistics, production, and replacement because that’s what decides modern conflicts.

The same pressure is reshaping creative careers.

The people who survive now can produce consistently at lower cost. They control their tools and timelines. They repurpose ideas across formats and don’t bet everything on a single roll.

Studios are no longer optimizing for masterpieces.

Platforms are optimizing for sustained output that holds attention.

That doesn’t make art meaningless. It changes where the leverage lives.

Is the Filmmaker Obsolete?

No. Just like infantry isn’t obsolete.

Humans still make the decisions that matter. Humans still bring taste, judgment, and emotional intelligence. Humans still hold ground in ways the machines can’t.

But filmmakers, like infantry, no longer define the fight on their own.

Your effectiveness depends on the system you’re embedded in. Your audience connection. Your distribution loop. Your production reality. Your ability to absorb losses and keep moving.

Career Shift Without Warning

We were trained for a world where mastery bought freedom of movement.

Now we’re in a world where survival depends on understanding the sensor field.

It’s not chasing trends or surrendering taste. It’s understanding systems well enough to survive inside them.

The veteran said pretending war hadn’t changed was deadly.

Though it’s not life or death – The same lesson applies here.

If your instincts were forged in an earlier era, respect them. Then update them. Because the battlefield you’re working on now is not the one you trained for.

Find Your Playbook

The veteran didn’t learn this from training manuals. He learned it from watching people die doing what used to work. Where else is this happening right now?

Doctors navigating algorithmic diagnostics and insurance dashboards that second-guess their judgment. Truckers watching autonomous rigs start eating their routes. Lawyers seeing contract review automated out from under junior associates.

Every one of these professions had its own version of fog.

Every one is learning what it means when the ground shifts and goes transparent.

Maybe the playbook for surviving the transparent battlefields of Hollywood filmmaking exists somewhere outside entertainment.

What are some of these other sectors figuring out that scribblers haven’t yet?

What survival strategies are emerging from sectors that hit this wall before we did?

Here’s how genre cycles work, what the three phases demand from a scribbler, and a set of late-phase moves you can run on your current draft today:

• The three phases of genre aging and what each one asks of the story

• Why late-phase beats must surprise, accuse, or compress rather than explain

• Four genre case studies with transferable rules

• A beat-reassignment framework for any revision pass

• The five revision questions that expose whether you’re still teaching the manual

I was rewatching Roland Emmerich’s Godzilla the other night, the ‘98 one where the monster looks like a mutant iguana and Matthew Broderick sprints around Manhattan like he took a wrong turn out of Ferris Bueller’s Day Off. That viewing kicked my memory to Jeanine Basinger’s seminal book on the war film, specifically how WWII movie stories evolved from the beginning of the war to its end.

That evolution is what matters here. How scribblers need to adapt when the tried and true tropes of a crowd-pleasing genre film stop hitting the way they used to.

Early in a cycle, a beat teaches the audience. Downstream, it signals. Late in the cycle, it must surprise, accuse, compress, or cut deeper. If your genre draft feels predictable, the tropes may be correct. The degree and function of those tropes may be out of sync with where the cycle actually is.

Three Phases of Genre Aging

Phase 1: Tutorial. The story explains what kind of story it is. What the monster is. What danger looks like. What counts as a win. What sacrifice means here. Rules, context, vibe.

Phase 2: Fluency. The audience has seen a version of this movie. They arrive with expectations and predictions. A single image does what required ten pages last generation. A costume, location, or music cue signals the movie they’re watching before a word of dialogue lands.

Phase 3: Commentary. The audience isn’t just watching your story. They’re watching how you handle their expectations. Late-phase stories survive by treating the familiar as material, not scaffolding.

Stop Teaching. Start Repurposing.

In early genre cycles, a beat’s job is didactic. In later cycles, teaching is dead weight. Your beat must deliver at least one of the following:

• Consequences, not information

• An emotional payload the audience didn’t anticipate

• Familiarity turned into tension

• Audience complicity

• An argument with the genre promise instead of a repetition of it

The tropes stay. The audience showed up because they love those tropes. What changes is how the tropes function and what they deliver.

Late-Phase Moves to Steal

1. Slashers: When the audience knows the rules.

Classic slashers build suspense by teaching the pattern. Once audiences internalize that pattern, it stops generating dread on its own. Scream works because it makes characters genre-literate, then punishes them anyway. The tension isn’t what happens. It’s what that knowledge forces them to do, and what choosing correctly still costs.

Your Move: Scribble a scene where a character correctly predicts the standard genre move, then loses anyway because the real danger is the moral cost of choosing it.

Transferable rule: When the audience can predict the beat, make the prediction the trap.

2. Cabin Horror: When the setting becomes a mechanism.

A remote cabin is a solved equation. Audiences read it before the characters arrive. The Cabin in the Woods turns the location into a mechanism. The story isn’t kids and a cabin. It’s the secret system that survives only if that scenario keeps running.

Your Move: Pick a well-worn setting in your genre. List what the audience assumes will happen there. Create a hidden system that exploits and benefits from those assumptions. The setting becomes a narrative machine.

Transferable rule: In late-phase genre, the threat shifts from a creature to a system.

3. WWII Combat Films: When explanation becomes unnecessary.

Early war films needed to explain the conflict and sell its moral framing to general audiences. As cultural literacy rose through newsreels and lived wartime experience, that explanation became dead weight. Later war films presume the audience already knows the iconography, ranks, politics, and sacrifice, so they move the story into what combat does to bodies and memory.

Your Move: In any mission genre, stop explaining why the mission matters. Treat the outcome as given. Make the story about what the mission does to the people who complete it.

Transferable rule: When the audience already knows the stakes, move from outcome to human cost.

4. Found Footage: When the trick becomes a vocabulary.

The Blair Witch Project compelled audiences with its “this is real” grammar. Once audiences learned that grammar, the shortcut to dread closed. Newer takes can work more deliberately with viewpoint, presence, and what the camera means beyond shaky panic. Deadstream is a strong example of how to evolve the form inside the world of Twitch influencers.

Your Move: If your genre has a format, treat it as a lens rather than a costume. Ask what can only be seen because of this limitation, and what becomes distorted by it.

Transferable rule: Once a form is legible, let the constraint become the story engine.

Give the Beat a New Job

Run this reassignment on every familiar beat in your draft:

Origin or Backstory Old job: Teach the rules, explain how the hero became the hero. (Superman) Late-phase job: Expose the cost, reveal the trap inside the myth. (Superman II) Action move: Scribble the origin as a liability. Make it the thing they cannot escape. (Batman v Superman)

Monster Reveal Old job: Show what the monster is. (Godzilla ‘98) Late-phase job: Show what the monster means, and who it targets emotionally. (Godzilla Minus One) Action move: The reveal isn’t “look at it.” It’s “look at what it does to the people who thought they were safe.” (Godzilla: King of the Monsters)

Rules Scene Old job: Instruct the audience. (A Nightmare on Elm Street) Late-phase job: Make the audience complicit, prove knowledge doesn’t save you. (Dream Warriors) Action move: Let a character weaponize genre literacy, then pay for it. (Scream)

Mission Briefing Old job: Explain plan and stakes. (Early Bond) Late-phase job: Reveal the lie inside the plan. (Craig-era Bond) Action move: Treat the briefing as a performance. Someone is selling something false. (Soderbergh’s Ocean’s films)

Meet-Cute or Promise Beat Old job: Set the romantic track. (Roman Holiday) Late-phase job: Challenge what the track costs. (Pretty Woman) Action move: Keep the structure, change what winning means. (Baltimorons)

Tactics for Late-Phase Genre

Enter late. Start where older versions would have taken twenty minutes to reach. Show the first consequence of living in this world rather than explaining the world itself.

Make the familiar beat hurt. Same beat, different emotional register. The suit-up as dread. Victory as moral failure. Confession as manipulation. Rescue as a burden.

Change the question, keep the furniture. Retain the recognizable objects of the genre. Swap the core question. “What does winning turn us into?” instead of “Will we win?”

Use audience prediction as leverage. Let them feel smart, then reveal what their prediction enabled.

Escalate qualitatively. Go stranger, not bigger. New point of view. New moral configuration. New consequence. A new kind of loss.

Revision Questions

Run this test on every major beat:

• If the audience already knows this convention, what new job is it doing?

• What consequence does it deliver that an earlier version would have explained?

• What expectation does it activate, and how does that expectation become tension?

• What does this beat say about the genre itself, even quietly?

• If I cut the exposition, does the scene get stronger?

If you cannot answer these, you’re still teaching the manual.

Try This

Pick a genre you love but feel is getting played out. List the five beats the audience expects. For each beat, scribble the old job in one sentence. Reassign a late-phase job using one verb: accuse, compress, invert, expose, reframe. Draft a version of the scene where the beat does the new job.

Your favorite familiar genre can feel dangerous again without abandoning what you and the audience love about it.

Try this:

• Audit your current draft by phase. Before your next revision pass, identify where your genre sits in the cycle. Tutorial, Fluency, or Commentary. Then check whether your beats are doing the work that phase demands. A Commentary Phase story scribbled with Tutorial Phase function will feel inert before it feels predictable.

• Reassign one beat per scene. Take your next revision scene by scene. For each familiar beat, write down its old job in one sentence. Then assign it a new one using a single verb from this list: accuse, compress, invert, expose, reframe. If the new job produces a stronger scene, keep the reassignment. If not, the original function may still be earning its place.

• Build the complicity test. Find the moment in your script where the audience feels most comfortable. That comfort is leverage. Scribble a version of that scene where the audience’s comfort becomes part of the trap. If it doesn’t work, you’ve at least located the moment where your genre stops applying pressure.

If you only remember one thing: your familiar beats aren’t the problem. Using them at the wrong phase of the cycle is.

What might happen if you stopped hiding the process and started making it part of the show?

During Heroes, fans would dissect every frame online before the next episode aired. They’d map Hiro’s timeline on wikis, argue about whether Sylar could steal Claire’s regeneration, build entire theories from a two-second background prop. Fans didn’t just want to watch the show. They wanted to be inside it.

That impulse hasn’t gone away. It’s only gotten louder.

Scribblers are figuring out something that took the video games industry years to learn: your audience doesn’t just want a finished product. They want to watch you build it.

AI tools are giving solo creators a way to make that process visible, entertaining, and participatory in ways that weren’t possible when everything happened behind closed doors in a Burbank bungalow.

The Delta Is the Content

Working on Alias and Lost with JJ Abrams taught me something I think about constantly. The showrunner’s job isn’t doing everything. It’s knowing what only you can do.

AI tools generate options. Lots of them. Fast. But the gap between what they spit out and what ends up in your script? That gap is where your taste lives. Your experience. Pattern recognition built from years of breaking stories and watching scenes die in the edit bay.

That gap can be fascinating to watch.

People are drawn to it for the same reason they might watch directors’ commentaries or read about how Coppola almost got fired from The Godfather. The struggle is interesting.

Show your audience the raw output. Show them what you kept, what you killed, and what you changed. Show them why. That delta between the machine’s suggestion and your creative instinct is your value proposition as a creator,

Let Them Into the Room

On VALORANT, player behavior and feedback directly influence how Riot develops new agents. Play patterns become data. Data becomes design. The players shape the thing they’re consuming, and that loop keeps them invested in ways that passive consumption never could.

Solo creators might run a version of this. Stream your process. Let your audience vote on which concept you develop next. Run contests where they suggest scenarios and you build something from the best ones. Turning your creative workflow into their creative playground.

This is a tweak on transmedia storytelling. Make iteration visible and fast enough to be entertaining in real time. You’re not asking people to wait months for a finished product. You’re bringing them along for the ride.

What This Could Look Like

Picture a game designer who streams their whole process. The audience shows up not because the tools are impressive but because the creator isn’t pretending what they do is magic. They’re showing the grind, the bad ideas, the moments where they discover something genuinely surprising and run with it.

Or a screen scribbler who might be running an AI-assisted room for their web series and voices each bot like they’re actual scribblers with opinions and bad habits.

“DialogueBot thinks everything should be a monologue. Just like every playwright I ever staffed.“ The audience feels like they’re watching real creative decisions get made. The bots become characters. The process becomes a show.

The Shift

For twenty years, the entertainment industry kept the process locked away. Scribble rooms were closed. Development was confidential. The audience got the finished product and nothing else.

That wall is coming down. Not because anything forced it, because audiences have been pulling at it for years. Fan wikis, behind-the-scenes content, director commentaries, making-of documentaries. People have always wanted to see how the thing gets made. Now solo creators have ways to make that process dramatic, participatory, and ongoing.

The future of creative work isn’t just about what you make. It’s about how visibly, how honestly, and how entertainingly you make it.

Your process can be a show. Give your audience a ticket.

I’m a story math guy. That’s a confession, not a brag.

Thirty years ago I sat in a Robert McKee seminar and watched him map a screenplay onto a whiteboard like an equation. Something clicked that never unclicked. Structure went from vague creative instinct to near-obsession. Every script I’ve read, every scene I’ve scribbled, I’m running the numbers. Act breaks. Inciting incidents. All Is Lost moments. The full diagnostic.

The catch: knowing math doesn’t mean you can always do the math.

Understanding structure and executing are two entirely different muscles. A scribbler can hold the McKee framework in their head, the Blake Snyder beat sheet in one hand, Truby’s genre mechanics in the other, and still get lost inside a draft. Once you’re inside a scene, inside a character, inside the heat of a first draft, structural X-ray vision is the first thing to go. You know what a great script looks like from thirty thousand feet. Seeing it from where you’re standing is a different problem entirely.

THE TOOL I DIDN’T KNOW I NEEDED

Then the current generation of LLMs arrived. ChatGPT, Gemini, Claude. I started running my scripts through them.

Not for dialogue polish. Not for coverage. For structure analysis. Deep structural analysis. Asking a model to read a full screenplay through the lens of McKee, Snyder, Truby, or my own Modular Story Method and come back with a real read. What’s working. What’s broken. Where my Reel structure holds and where it caves.

The results have been genuinely awesome.

These models can hold an entire feature simultaneously and apply multiple structural frameworks in a single pass. The feedback is detailed, grounded, and calibrated to whichever theoretical framework you invoke. Ask for a McKee read and you get a McKee read. Ask for a Truby character web and you get one.

At the creative level, this freed me up to be… creative.

PERMISSION TO MAKE A MESS

Early drafts should be messy. Every experienced scribbler knows this. Follow a scene into the dark. Let a character blah-blah-blah. A subplot go sideways. That’s how you find unexpected beats that make a script feel alive instead of assembled.

I’ve always known that. Still found myself pulling up short in a first draft because structure anxiety. Second-guessing if a scene ran too long, midpoint was landing in the right neighborhood, whether I was buried in Reel Three with no clear path out.

Having a structural analyst on call to read the draft and run diagnostics changes that relationship. Go deep in a scene. Let it breathe or let it explode. Go long on purpose. The structural pass is waiting on the other side of the draft, and it’s not going to miss anything. That confidence is a creative asset.

The math gets checked later. The free ride scribbling happens now.

THE OTHER SIDE OF THE CALCULATION

Companies already use AI to screen job applicants. Resumes go in, an algorithm filters them out, and a human being never looks at half of them. The applicant never knows. The company saves time. Careers shredded sans a single set of human eyes touching the work.

Scripts are documents too.

I’m not speculating this might happen someday. It’s already happening somewhere. Studios, streamers, and production companies are flooded with submissions and hungry for any system that reduces intake. Run the script through a structural model. Doesn’t clear the McKee threshold? Pass. Midpoint isn’t landing in the right window? Pass. Doesn’t pattern-match against whatever internal criteria someone decided matters? Pass, pass, pass.

Good or bad? I genuinely don’t know. A well-calibrated model with sound criteria might surface stronger material faster than a stack of overworked readers. It might catch things a tired reader skips on a Friday afternoon.

The harder question: criteria set by whom, optimizing for what? Structural conformity is a different thing from a great script. Some of the best scripts ever scribbled would’ve failed a rigid beat-sheet audit in the first draft. A model that can’t distinguish between breaking the rules badly and breaking the rules brilliantly becomes a filter and a ceiling at the same time.

Screen scribblers should know it’s coming.

• Run your current draft through an LLM with a specific framework prompt (”Analyze this script using Blake Snyder’s beat sheet. Identify where each beat lands and where it’s absent.”). Treat the output as a structural X-ray, not a verdict.

• In your next first draft, schedule a structural pass for after you finish. Write a note atop page one: “Check the math later.” You have permission to follow the muse down the rabbit hole.

• Research how studios and streamers at your target tier currently handle script intake volume. Ask your reps directly. The more you know about how material is being screened, the better you can position your submission.

Those same structural tools that make your drafts better are probably the same tools that may be screening your work before a human reads it. No matter what, always be scribbling!

“Hollywood is freaking out.” That phrase, from a podcast, a news segment, a family conversation, makes my eye twitch. The word gets used like it refers to a single creature with one brain and one agenda.

It never has been that. So why do we keep talking like it is?

The Word You’re Looking For Is Metonymy

“Hollywood,” “Washington,” “Wall Street,” “Silicon Valley.” These are place-names standing in for whole messy systems. The move has a name: metonymy. A related thing (the place) stands in for the larger concept (the industry, the government, the money machine). “Hollywood” as shorthand for the American film and TV business is a textbook case.

Metonymy is quick. Fits a headline. Slides into a hot take. It also lies by omission.

Your Brain Likes Simple Targets

There’s a psychology piece underneath the language. When we look at a group we’re not part of, we tend to perceive its members as more alike than they actually are. Social psychologists call it the outgroup homogeneity effect. Plain English: “They’re all the same. We’re complicated.”

That bias doesn’t require malice. It doesn’t require ignorance. The brain compresses. Compression is where nuance goes to die.

“Hollywood” Is Not a Monolith. It’s a Crowd Scene.

Set the psychology aside and the industry itself fights the single-entity label. Film and TV run on networks: freelancers, short-term crews, shifting teams, unions, vendors, agencies, studios, streamers, financiers, lawyers, managers, publicists, post houses, and a thousand quiet jobs nobody tweets about. Researchers who study the business describe careers shaped by social networks and project-based labor markets, not one centrally controlled machine.

The geography has dissolved too. Production moves. Tax incentives move it. The “Hollywood” part isn’t one place anymore.

So when someone says “Hollywood wants X,” the real translation is usually: a subset of powerful players, inside a shifting ecosystem, are pushing for something that other powerful players are resisting, while a lot of working scribblers and crew are trying to keep the lights on.

Less catchy. More true.

Why Podcasts and Headlines Love the Monolith

“Hollywood” is a clean villain. Or a clean hero. Or a clean punchline. It gives you a single target for blame, credit, anger, fear, envy. It turns a complicated set of incentives into a simple story with one character.

Great for a segment. Bad for your understanding.

Extra strange in entertainment coverage, because the business runs on disagreement. Studios compete with studios. Streamers compete with streamers. Agencies compete with agencies. Creatives fight creatives. Labor fights management. Management fights other management. Everybody fights the calendar.

“Hollywood” is not one opinion. It’s a negotiation.

A Better Way to Say It

Swap the metonym for the actual lever:

• “The legacy studios are pushing for...”

• “The streamers are reacting to...”

• “The agencies are betting on...”

• “The financiers are tightening...”

• “A lot of working scribblers are worried about...”

And if the conversation is about people moving into a town and changing it, that’s migration plus money plus culture. The place-name just makes it easier to point the finger.

Scribbler’s Takeaway

Next time you hear “Hollywood is...” add one question in your head: Which part?

That question cracks the monolith. Turns a lazy label into a real conversation. Makes room for truth, which is always messier, more human, and usually more interesting than the cartoon version.

Build things people actually need.

That’s the advice. Sounds almost insultingly simple. Spend enough years in this business and it starts to sound like the only advice.

When I was starting out, my strategy was scribbling scripts I was excited about. The early work wasn’t very good. That’s the cost of entry, nothing shameful about it. The scribbling got better over time. Noticeably better. People were responding to the pages, the dialogue, the scenes. And I still wasn’t selling anything.

That gap confused me. I assumed quality was the whole game.

Quality is the admission price.

The real question, the one my film school education never asked out loud, was: what does the buyer actually need right now?

The Go-Kart Script

When I finally started asking that question, the answer at that particular moment was specific. Studios wanted sports movies with kid protagonists. Family-friendly, high-concept, easy to market. That was the slot that needed filling.

I scribbled a script about kids go-kart racing. And I sold it.

That story isn’t a case for abandoning what you love and chasing trends. It’s a case for scribbling something you can execute well that solves a real problem for a real buyer. Those two things are not mutually exclusive. They just take intention to line up.

Nobody teaches that in school. The curriculum is built around craft: structure, character, dialogue, theme. All of it matters. It’s all worth learning deeply. But at some point you walk out of that classroom and into a marketplace. The marketplace doesn’t care about your enthusiasm. It cares about whether you can solve a problem for somebody.

Read the Room You’re Pitching Into

A studio executive sitting across from you has a slate to fill. Talent deals that need attachments. A mandate from the studio, network or streamer telling her what they’re buying this cycle. She’s not waiting for a great script to fall from the sky. She’s trying to do her job, and she needs material that helps her do it without creating more work for her team.

A producer reading your submission isn’t just evaluating the scribbling. He’s thinking about whether he can package it, whether there’s a director who fits, whether the budget makes sense for the likely return. He’s solving a puzzle. Your script either fits that puzzle or it doesn’t.

That’s not a cynical read of the business. That’s what the job actually is.

Generic Clears the Hurdles and Feels Like Nothing

What the market needs is not a fixed target. Scribblers who treat it that way, reverse-engineering from the outside, producing work generic enough to fit any slot, tend to deliver pages that technically clear every hurdle and feel completely lifeless. Buyers can smell that.

The craft still matters enormously. The voice still matters. What shifts is direction. You’re pointing those things at something with a real destination.

Think of it like a contractor. A great contractor can build anything. A smart contractor reads a neighborhood, figures out what people are actually trying to buy, and applies their skills. No compromise on craft. Better targeting.

For screen scribblers, that means staying curious about what’s selling and why. Understanding who buyers are and what problems they’re genuinely trying to solve. Then finding the overlap between that and the stories you’re actually equipped to tell.

That overlap is where careers get built.

Two Questions Before You Start

Next time you’re deciding what to scribble, ask yourself:

Who is this for? What problem does it solve for them?

No answers yet? That doesn’t mean kill the project. It means nail down the answers before you’re three months into a draft that has nowhere to go.

The go-kart script got me a career. The scripts before it taught me how to scribble. Both were necessary. The difference was knowing when to stop practicing and when to start thinking like someone who needed to get paid.

New tools drop every few weeks. Real-time engines, AI rigs, generative video. By the time you master one workflow, three more have already made it obsolete.

The trad film kids are worried about jobs disappearing. You’re worried about which version of the job to train for.

That uncertainty is your edge. Animators who can ride the chaos will outpace everyone waiting for the dust to settle.

The Curriculum Can’t Keep Up

AI is moving too fast for syllabi. By the time your professor updates the course, a new tool has already rewritten the rules.

That’s the cycle now. Panic, then absorption, then integration. The students who move fastest through that cycle are the ones building real skills.

Learn everything you can. Blender, Unreal, Runway, Pika, whatever text-to-video tool dropped this morning. Mash them together with old-school craft. The hybrid approach wins.

From Shot Artist to World Architect

Animation is more than movement. It’s mythology.

The next generation of animators won’t just push frames around. They’ll design worlds, moods, and belief systems that live across platforms. Comics, games, vertical video, AR filters. Stop thinking like someone who animates shots. Start thinking like someone who can build a universe.

Visual and thematic coherence across all those mediums? That’s a skill that compounds. One strong character or visual tone can evolve into a whole ecosystem of content.

The future rewards people who own their worlds.

You Direct the Machine

AI can render, light, and color faster than any human. What it can’t do is choose.

Creative direction is your job now. Deciding what something should feel like. Why this color instead of that one. Why this timing instead of faster. Why this expression instead of something cleaner.

The algorithm gives you options. You make them mean something. Learn to bend machine output toward human intention. Taste is the skill that doesn’t automate.

Be the Bridge

Animation studios are mutating into hybrids. Artists, coders, and storytellers crammed into the same Slack thread, working across time zones on tools that didn’t a month ago.

The animators who thrive will be the ones who can translate between disciplines. Talk to both the shader engineer and the story lead. Understand enough code to have the conversation, enough narrative to know why it matters.

In my years running rooms and working with video game teams, the people who survived regime changes were the ones who could speak multiple creative languages. Cross-disciplinary communication isn’t a soft skill. It’s a survival necessity.

Study Performance Like Your Career Depends On It

Animation is acting. The timing of a blink or a breath carries more story than an entire dialogue pass. Brilliant animators create more emotion with three seconds of silence than someone else could with a ten-page monologue.

Study actors. Watch how they use their bodies. Learn musical rhythm. When to speed up, when to hold. Cut footage until you can feel pacing in your bones.

AI can generate motion. But it can’t feel why a pause lands. Those instincts matter more than any plug-in.

Make Stuff and Ship It

Treat audience feedback as your next assignment. Whatever you can finish and put out there.

I spent years cranking out specs that went nowhere. But the volume taught me more than school ever did. Momentum beats perfection. The animators getting feedback and building audiences right now aren’t waiting for jobs. They’re gaining skills and creating proof of concept for the jobs they want.

Your Work - Your Worlds

Every animator can now be a studio.

Don’t just practice on other people’s properties. Create something that’s yours. Build a world with enough space for other people to want to play in it. A character that could live in a comic, a game, a vertical microdrama, a toy line.

The leverage in this industry is shifting toward creators who control their own mythology. Why not start building yours now, while you’re in school and the stakes are low?

Train for Chaos

Your career won’t depend on stability. It’ll depend on your curiosity and adaptability. I’ve had to relearn my craft multiple times. Features to TV, TV to games, linear storytelling to transmedia narrative. Each time felt like starting over. Each time made me a better scribe.

Creative flexibility under technological chaos isn’t a bonus skill. It’s baseline. The animators who treat reinvention as part of the job description will outlast everyone clinging to the workflow they learned freshman year.

What Lasts

Animation’s future is a hybrid of human taste and touch directing AI speed and scale.

The artists who last will stay curious, keep publishing, and never forget that every rig, every brush, every procedural tool exists to serve human emotions. The tech is just the tool. The artist is the one who decides what it does.

You’re graduating into an industry rebuilding in real time. Don’t look at this as a crisis. But an exciting opportunity.

As I mentioned in a recent post, my son’s at SCAD studying film, and I’ve been watching him and his classmates navigate this weird inflection point where every tool they’re learning might be obsolete by graduation.

Script coverage that used to take a weekend now takes minutes. Junior editors are being replaced by software that syncs and assembles autonomously. The mechanical, pattern-based work is getting automated fast.

What survives comes down to judgment, collaboration, and emotional intelligence.

The jobs changing now aren’t abstract. They’re the entry-level gigs my son’s friends will compete for. Some of those positions won’t even exist in three years. But new ones will. The question is whether you’re building the skills those new roles demand.

What’s Already Happening

Script coverage is getting eaten alive by AI. Those story analyst gigs where you’d read 40 scripts a weekend and crank out coverage? Software does it faster and cheaper. Same with junior scribbling positions that used to polish dialogue or punch up scenes. Generative models can draft treatments and rewrites on command.

This plays out in post too. Junior editors who used to sync footage and build rough cuts are being replaced by AI that can assemble sequences autonomously. Even basic storyboard work for TV can be generated from prompts.

On the VFX side, all that roto and cleanup work that entry-level artists cut their teeth on? Automated. Anywhere the job was mostly data management, AI moved in fast.

The skill that matters now isn’t doing those tasks. It’s learning how to direct AI workflows instead of competing with them.

The people who figure that out first will have a serious edge.

What’s Coming

There’s a difference between AI that replaces steps inside a craft and AI that attempts to replace the craft itself. Right now we’re mostly seeing the first kind. But the second kind is coming.

AI isn’t just automating, now it’s starting to understand emotional rhythm, aesthetic composition, and story logic. It won’t just handle tasks. It’ll collaborate, then compete.

Senior editors might be surprised to find AI cutting scenes based on emotional pacing. Voice actors are already dealing with synthetic voices that sound disturbingly close to real performance. VFX supervisors are watching generative environments replace manual pipelines they spent decades mastering.

Producers and executives will lean on predictive models to drive development decisions. Imagine getting development notes optimized for audience retention curves instead of personal taste. Why trust your gut when the algorithm can forecast engagement by the minute?

The question isn’t whether AI will learn to edit or light. It’s whether we’ll call it filmmaking when it does. And who decides.

Where Humans Still Matter

When I was running American Gods or breaking story on Lost, the job wasn’t just mechanical. It was reading the room, managing egos, understanding what an actor could bring to the stage that wasn’t on the page. That stuff doesn’t automate.

Showrunners who guide story universes across seasons and manage creative politics. Directors on set handling live performance and improvisation. Actors creating real chemistry and emotional connection. Stunt coordinators making split-second safety calls. Cinematographers collaborating on location with light and composition that responds to the whims of the moment.

Producers handling logistics, diplomacy, and keeping morale up when everything’s on fire. Editors making creative choices about performance and pacing that comes from instinct, not data.

Costume designers, makeup artists, casting directors. All roles built on tactile collaboration, human intuition, recognizing something in a performance that can’t be quantified.

And scribblers. Worldbuilders. The folks who understand metaphor, subtext, emotional truth. Human imagination is still the engine.

AI will collaborate, then compete. But leadership, empathy, and taste will keep you stay in the room when it does. These are the skills that’ll still get you hired in ten years.

The skills that make the work worth doing.

What This Means for You

I’m not saying film school is pointless. I think it’s rad. My son’s learning craft that matters. But the after school game has changed. AI can handle the mechanical side now. The future will belong to filmmakers who can work with both humans and machines.

Learn the tools. Absolutely. Know how they work, where they fail, how to use them as collaborators. The tools will keep changing, but the audience won’t. They’ll still crave stories that feel like someone meant them.

Stay focused on what AI doesn’t do. Human intent. The reason you make something. The emotional core that makes audiences care.

That’s what separates a screen scribbler from a script generator. That’s what separates a director from some hack running prompts.

Film school during the AI revolution should be teaching collaboration over polish, intent over coverage, decision-making over execution, emotion and empathy for both page and stage.

If that’s what you’re learning, you’re not behind the curve. You’re ahead of it.

You’re studying filmmaking at the exact moment the definition of “making movies” is being rewritten. That’s not bad luck. That’s choosing to be in the room where the next chapter gets written.

There’s a lazy version of the AI conversation:

“AI is coming for creatives.”

Or: “AI is just a tool, stop panicking.”

Both miss what’s actually happening.

Generative AI is hurting human creators right now. The harm is measurable. But it’s not hitting everyone the same way. It hinges on what you make and why you make it.

A recent study of the Japanese art platform Pixiv gives us one of the clearest windows into how this plays out. Pixiv hosts millions of human artists, a massive influx of AI-generated work, and clear signals like bookmarks and follows.

What the numbers reveal should matter to scribblers.

Complexity Is a Shield

After generative AI arrived on Pixiv, illustrators who create single, standalone images saw their output drop.

Comic artists, who work in sequential storytelling, stayed in the game. A single image is a deliverable. It lives or dies on immediate visual impact. AI cranks that stuff out fast and cheap.

A comic is a system.

Characters must look the same across panels. You need emotional continuity, escalation, rhythm, callbacks. Inconsistencies break reader trust. Current AI tools can’t handle that alignment.

I learned this crafting Lost, Alias, and Heroes. Each episode built on what came before while advancing meta-narrative. One mega moment meant nothing without sustained coherence across seasons.

Storytelling creates a moat. Not because it’s better art. Because it can’t be easily replicated.

Your work only needs to be cool once? AI’s a viable substitute.

Your work needs to hold together over time? AI remains a blunt instrument.

The Pros Are Hit Hardest

The biggest drop in creative activity wasn’t among beginners or hobbyists. It was the pros.

Top-tier creators reduced output more sharply than casuals. Commercial artists chasing subscriptions and commissions pulled back most. Bottom half of creators posted more after AI arrived.

Hobbyists create for expression, practice, community. They’re not competing for rent money or algorithmic oxygen.

Professionals rely on converting audience into income. When that pipeline breaks, continuing to post feels pointless.

This isn’t fear of AI as technology. It’s the collapse of predictable returns. Post-WGA Strike, with LA production down 40% and AI flooding the zone, professionals are making rational calculations about where to invest energy.

This Is an Attention Recession

Pixiv data shows a significant drop in bookmarks for human-made work after AI content flooded the platform. Not because human work got worse. Because it became harder to see.

AI didn’t just add competition. It diluted visibility.

Millions of new images appear overnight, discovery breaks. Monetization breaks, professionals stop showing up.

The attention recession hits hardest where output is most interchangeable.

What This Means for Scribblers

Content that holds up under AI saturation shares traits:

Sequential. Chapters, episodes, arcs, seasons. Value is cumulative. Each beat builds on the previous.

Consistent. Characters behave like themselves. Worlds follow rules. Your creative DNA should be unmistakable.

Momentum. Each piece creates anticipation for the next. Scene and Sequel at scale. Pull the audience forward.

Rewards memory. Callbacks, layered themes, character evolution. Storytelling where every detail lands somewhere.

Your creative output can be sampled once and fully understood? Vulnerable. Value rests on what came before and what comes next.

Practical Moves

Build continuity on purpose. Series bibles, recurring motifs, evolving relationships, visible consequences. Apply that discipline across installments.

Package as sequences. Make “next” part of the promise. Each piece functions standalone while contributing to something larger.

Choose your battlegrounds. Niche flooded with AI? Move toward spaces where voice, taste, coherence matter more than volume.

Own your audience. Newsletters, memberships, communities create insulation against algorithmic shocks. Direct relationships beat platform favor.

Use AI as scaffolding, not authorship. Research, variation, exploration. Keep continuity decisions human.

I’ve been collaborating with LLMs for over two years. Research assistants, brainstorming partners, organizational aids. But they can’t maintain character consistency across episodes. Can’t create emotional architecture that makes serialized storytelling function.

If I’m not rewriting at least a third of what comes back, I’m not doing my job. Continuity choices, callbacks, character-specific voice, structural integrity across sequences.

The Bottom Line

Generative AI isn’t evenly hostile to creativity. It’s hostile to commodity creativity.

Single interchangeable unit? You’ll feel it. System unfolding over time? More resilient.

For scribblers: Don’t compete on volume. Don’t compete on novelty alone. Compete on coherence.

Not a romantic stance. A structural one.

For the moment, structure is still a human advantage.