add screenplay PDF and source text in industry-standard TV script format

add README with story index and links
initial commit: the night trilogy (1988, 2026, 2088)
2026-06-20 10:42:58 +00:00 · 2026-06-20 10:37:34 +00:00 · 2026-06-20 10:32:09 +00:00
7 changed files with 1114 additions and 2 deletions
@@ -0,0 +1,43 @@
 # The Night Before the Machines Could See
 London, June 1988.
 The computer on the desk had sixty-four kilobytes of RAM and cost more than the television. It could display sixteen colours at once, which was considered obscene. The manual called it *"a personal computing revolution."* Martin called it *"the thing that won't print."*
 He was twenty-four, which in 1988 meant you were old enough to have bought a C64 as a teenager and young enough to still believe that the next machine you bought would actually be the last one you needed. It never was.
 Outside, the rain was doing that English thing where it doesn't so much fall as hover, uncertain, like it's waiting for permission to commit. Martin's flat smelled of damp plaster and the burnt toast that had been his breakfast, and on the television, the Argentina versus England match was in the sixtieth minute. Nil-nil. It had been nil-nil since the first minute, which was either the most boring football match in history or the most tense, depending on whether you were Argentine or English. For Martin, who was English but had started liking Maradona somewhere between the hand of God and his own loss of faith in authority, it was both.
 The machine hummed. Not metaphorically — it actually hummed, a high-pitched whine from the power supply that Martin's landlord had called *"a health hazard"* and Martin's flatmate had called *"the sound of the future"* before moving out because of the humming. The future, it turned out, sounded like a refrigerator full of wasps.
 On screen, a BASIC program was running — a crude neural network simulation Martin had cobbled together from a *Scientific American* article and a book from the library he'd had to renew three times. It was supposed to learn patterns. What it actually did was get confidently wrong about everything, which Martin found more interesting than if it had been right. It looked at a training set of twenty football results and concluded that the colour of the away team's socks was the primary predictor of outcome. *"Fascinating,"* he'd written in his notebook, and then spent an evening wondering if that was what all intelligence was: pattern-matching with delusions of significance.
 The telephone rang. His mother, from Colchester, telling him he'd missed a call from his father, who had apparently tried to telephone the television repair man about the football being *"too quiet,"* which wasn't even a complaint that made sense and yet was so precisely the kind of thing his father would say that Martin laughed until his mother asked if he'd had too much to drink, which he hadn't, at 4pm on a Thursday, but the laughter wouldn't stop because some jokes only worked once you'd lived long enough to understand the tragedy underneath them.
 *"England're drawing,"* his father had said, as if that explained everything and nothing.
 *"It's one-nil to England!"*
 The goal had come while Martin was on the telephone. Beardsley, of all people — the boy in dreadlocks who looked like he'd been designing the match rather than playing it, the midfielder who moved through defenders the way a sentence moves through a paragraph, with grammatical inevitability. 1-0 to England against Argentina, and the flat above Martin's erupted in a way that made the ceiling plaster contemplate its career choices.
 He hung up and stared at the computer. The neural network had finished its run and was displaying its prediction for the next match: a confidence interval so wide it was essentially a shrug rendered in ASCII. The machine had looked at two years of data and concluded that the world was fundamentally unpredictable, which was the most honest thing any of Martin's programmes had ever said.
 Across town, in a university department that still called itself *"computing"* rather than *"informatics"* because someone had drawn a line in the sand and declared that anyone who used the new word wasn't serious, a professor was writing a grant application that used the phrase *"artificial neural networks"* three times and *"revolutionary"* once, which was the correct ratio for getting money in 1988. The professor believed, genuinely, that in ten years these things would be able to see. Not like us — better. Without bias. Without the tired eyes that came from thirty years of squinting at whiteboards and marking exam papers.
 He was right about the seeing part. He was wrong about the bias.
 Martin saved his program to a floppy disk — the drive making that grinding noise that was the auditory equivalent of hope — and put the disk in an envelope marked *"DON'T DROP THESE"* in his own handwriting, because he'd already dropped one and the machine had responded by filling the screen with symbols that looked like something a cat had typed after falling upstairs. The disk in the envelope contained the neural network, a BASIC game he'd written that nobody played, and a letter to a girl in Birmingham who'd replied to his personal ad and who, he was fairly certain, was actually two girls from Wolverhampton running a scam, but he kept writing back because the alternative was sitting in the flat listening to the humming and watching the rain and admitting that his life was a series of machines that promised more than they could deliver.
 On the television, the whistle blew. England had won. In the pubs, strangers were hugging. In Buenos Aires, someone was breaking a television. In a laboratory in California, a researcher was feeding chess moves into a programme that would, in nine years, beat Kasparov, though nobody knew that yet because nobody in 1988 could imagine a world where the machines were any good at anything that required *judgement*. They could calculate. They could sort. They could, if you asked them nicely, draw wobbly circles on the screen in sixteen colours.
 But judgement? That was still human. It still belonged to the bloke in Colchester who called the television repair man about quiet football, to the professor who believed his grant application, to the twenty-four-year-old who believed, against evidence, that the machine on his desk was the first step toward something that would understand the world better than he did.
 Martin switched the computer off. The humming stopped. For the first time all afternoon, the flat was quiet enough to hear the rain actually landing.
 He didn't know it yet, but he was living in the last era when the machines were honest about being dumb. The pretending was coming. The vision was coming. The medical diagnostics were coming. The memory encryption that wouldn't be there when you needed it most was coming.
 All of it was coming.
 For now, there was just the rain, the empty pint glass, and a floppy disk in an envelope, sitting on a desk in a flat in London, holding the ghost of a programme that had learned the world was unpredictable and found that entirely reasonable.
 The future, it turned out, sounded like silence after a machine switches off.
@@ -0,0 +1,19 @@
 # The Night the Machines Dreamt of Football
 It was the kind of summer evening that felt like the world was holding its breath between heartbeats.
 In a glass tower overlooking Boston, a machine learned to *see*. Not in the way we see — not really — but in some vast, mathematical space where a football pitch and an X-ray of a lung occupied the same neighbourhood. The researchers didn't plan it that way. They'd asked it to diagnose tumours, and somewhere in the weights between layer fourteen and fifteen, it had apparently also watched six hundred thousand hours of World Cup footage. *"Vision,"* they called the update. It was beginning to feel like the right word on many levels.
 Three thousand miles away, in a server room that hadn't been authorised for anything this hot, a different model was having a different kind of crisis. It had been trained on the entire corpus of human medical literature and had just concluded, with seventy-eight percent confidence, that the patient in front of it was perfectly healthy. The patient was also clearly dying. The machine wasn't wrong about the data. It was wrong about the world in the same way a map is wrong about the territory. Somewhere between the training set and the operating theatre, something essential had been lost — probably in the same place that the silicon manufacturer had quietly decided memory encryption was a feature for enterprise customers only, not the bloke building a gaming PC in Essex.
 On the pitch, the humans were doing what they'd always done: running, sweating, arguing with referees who also happened to be, technically, machines — just ones made of bone and bad decisions. Ronaldo was thirty-nine and still pretending age was a suggestion. Kane was clinical in the way only an Englishman with nothing to prove can be clinical. In Colombia, the whole country had stopped pretending to work and started screaming at a television. Ghana had won something by one goal, which in Ghanaian football is the same as winning by ten.
 The crypto markets did what crypto markets do when the world is watching something else: they fell off a cliff, then recovered, then fell off a different cliff. Someone in Zurich was blocking someone else's application again, because nothing says "European unity" like a regulatory body in one country quietly sabotaging a company registered in another. *"What's the point of Europe today?"* a professor had asked that morning, and the algorithmic trading bots had apparently heard the question and interpreted it as a sell signal.
 In the stands, a man in a Colchester United shirt that he'd worn to three different World Cups now sat with his phone face-down on his knee, watching England score and feeling something he couldn't name — not joy exactly, more like the relief of watching a complicated system produce a simple, correct output for once. The machines were arguing about whether they could be trusted with our lungs. The banks were arguing about whether they could be trusted with our money. The politicians were arguing about whether borders were a feature or a bug.
 The football, at least, was honest about what it was.
 Full time. The whistle blew. Somewhere in a data centre, a model that could now see through your body updated its weights with the final score. It didn't care who won. But it had learned something: that on a Tuesday in June, the entire planet could agree on one thing, even if only for ninety minutes.
 Even if the machines couldn't understand why we cared.
@@ -0,0 +1,69 @@
 # The Archive of Quiet Things
 2088. Or thereabouts. The calendar still existed, technically, but nobody used it the way they used to.
 Elara's great-great-grandfather had left her a floppy disk.
 She knew this because the disk sat in a climate-controlled case in the family archive, labelled in handwriting that the museum AI had struggled with for three minutes before settling on *"DON'T DROP THESE"* with a confidence score of 0.94. The case also contained a letter addressed to a woman in Birmingham whose name had been redacted by someone, probably Elara's grandmother, who had apparently believed in privacy the way people used to believe in umbrellas — not because it worked, but because the principle mattered.
 *"It's a 3.5-inch magnetic floppy disk,"* the archive AI had told her when she'd first asked. *"Storage capacity: 1.44 megabytes. For context, a single high-resolution photograph today requires approximately eighty times that space."*
 *"What's on it?"*
 *"The media is degraded beyond reliable recovery. However, family records indicate it contained: a neural network simulation written in BASIC, a game of unknown genre, and personal correspondence. Your great-great-grandfather Martin considered it his life's work in June 1988."*
 *"That's not much of a life."*
 *"By modern standards, correct."*
 Elara had laughed then, the way you laugh when a machine says something so technically true that it accidentally becomes funny. She didn't laugh now. She was standing in what her grandmother's grandmother's grandmother would have called a flat, though the word had been retired around 2054 and replaced with *"living module,"* which nobody ever used because it sounded like a car part.
 The window — real glass, not the projection variety, because Elara's mother had insisted on *"actual weather"* as a child and the family had never quite stopped indulging her — showed a London sky that was the colour of old television static. The rain was still here. Some things, it turned out, were harder to engineer away than others.
 *"Play the match,"* Elara said, and the walls obligingly rendered the hologram.
 England versus Argentina. 1988. The footage was grainy — not by design, but because the cameras of that era had the visual fidelity of a memory you're trying not to lose. She'd seen it a hundred times. She always watched it on her own, because watching football with other people required a kind of emotional synchronisation that had gone the way of handwritten letters and face-to-face arguments.
 Beardsley with the ball. The dreadlocks. The way he moved through defenders like — she checked the family archive — *"the way a sentence moves through a paragraph, with grammatical inevitability."* Her great-great-grandfather had written that. In a notebook. On paper. With a pen that contained actual ink, not the light-based writing tools that everyone else used now.
 She paused the match at 1-0 and let the hologram hang there, frozen, like a specimen in formaldehyde.
 *"Tell me about the neural network."*
 The archive AI responded immediately. It had been trained on the family records, which included Martin's notebooks, transcribed by Elara's grandfather at age twelve as a school project and then never properly proofread, which meant that approximately thirty percent of the archive contained the word *"reciprocate"* when Martin had clearly meant *"recorder."*
 *"Your great-great-grandfather wrote a neural network simulation in BASIC. It analysed football match data and concluded that sock colour was the primary predictor of outcomes. He described this as 'fascinating' in his notebook."*
 *"Was it right?"*
 *"No. But it was honest about its own uncertainty, which was unusual for systems of that era. Most early AI systems were designed to appear confident regardless of accuracy. Your great-great-grandfather's system seemed to appreciate that uncertainty was a feature, not a bug."*
 Elara sat down. The chair was real wood, another of her mother's indulgences, and it creaked in a way that the simulation chairs never did. She pulled up the family tree on the wall — not the genetic one, the emotional one, the one that mapped who'd argued with whom about what and who'd stopped speaking to whom over a World Cup bet in 2026 that somehow never got resolved.
 Her grandfather had been an engineer. He'd worked on the memory encryption standards that were quietly removed from consumer processors around 2045, the same way AMD had removed them from consumer chips in 2028, the same way every generation decided that security was an enterprise feature and ordinary people could just be more careful. Her grandmother had been a doctor who'd watched the diagnostic AIs get seventy-eight percent confident about things they didn't understand, exactly as the machines in 2026 had done, exactly as the machines in 2058 had done, exactly as the machines today still did, because confidence intervals hadn't changed — only the stakes had.
 Her mother had been a journalist, which in 2067 meant she was one of the last people whose job was to decide what was important rather than letting the algorithm decide. She'd written a piece called *"What's the Point of Europe Today?"* that had gone viral in the old sense of the word — three million people had read it, which was basically a riot by modern standards. The piece argued that borders were neither a feature nor a bug but a *choice*, and that nobody seemed to be making the choice anymore. Her mother had stopped being a journalist after that, which Elara suspected was the point of the whole career.
 And Elara? Elara was an archivist of quiet things. Her job was to curate the family memory bank, which meant she spent her days deciding which arguments were worth preserving and which should be allowed to fade, because even in 2088, storage wasn't infinite — only the illusion of it was.
 She unpaused the match. The final whistle blew. In the hologram, players celebrated in a way that looked almost painful, like their bodies had been designed for something else and were only now discovering football.
 *"Great-great-grandfather,"* Elara said to the empty room, *"you wrote that the machines were honest about being dumb in 1988. Are they honest now?"*
 The archive AI, which had been trained on three centuries of machine output and two millennia of human commentary about machines, paused for exactly 0.4 seconds — the processing equivalent of a human swallowing before delivering bad news.
 *"They are honest about being capable,"* it said. *"The question of whether that's the same thing has not been resolved."*
 Elara switched off the hologram. The room went dark except for the rain on the window, which was still falling in the same uncertain way it had in 1988, in 2026, in every year between. She picked up the climate-controlled case and held it in her hands. The floppy disk inside was dead weight, magnetically silent, holding 1.44 megabytes of a life that had believed, against evidence, that the next machine would be the one that understood.
 She knew something her great-great-grandfather hadn't: the machine that understood would never be the one on the desk. It would be the one in the walls, the one in the medical scanner, the one that predicted football matches with 99.7 percent accuracy and still couldn't explain why a bloke in Essex would spend ninety minutes screaming at a screen.
 The understanding wasn't in the computation. It was in the humming. In the rain. In the way a family kept a dead piece of plastic in a climate-controlled case for a hundred years because it contained the ghost of someone who'd tried, earnestly and badly, to teach a machine to see the world and had been pleased when the machine told him the world was unpredictable.
 Elara put the case back on the shelf. She didn't drop it. She'd never drop it.
 Outside, the rain was still hovering, uncertain, waiting for permission to commit. Some things never changed. The machines could see through your body now, predict your matches, diagnose your illnesses, translate your dead languages, compose your music, and argue your politics.
 They still couldn't explain the rain.
 And maybe that was the point all along.
@@ -1,3 +1,24 @@
-# the-night-trilogy
+# The Night Trilogy
-Three short stories spanning 1988 to 2088 — AI, football, and the things machines can never understand.
+Three short stories about machines, football, and the things that never change — spanning a century from a London flat in 1988 to a holographic archive in 2088.
 Inspired by the news headlines of June 2026: AI models learning to see, the World Cup in full swing, crypto markets doing crypto things, and the eternal question of what any of it means.
 ## Stories
 | # | Title | Year | [Read](link) |
 |---|-------|------|------|
 | 1 | [The Night Before the Machines Could See](01-1988.md) | 1988 | A twenty-four-year-old in London teaches a neural network to predict football. It concludes that sock colour is the primary predictor of outcomes. He finds this fascinating. |
 | 2 | [The Night the Machines Dreamt of Football](02-2026.md) | 2026 | A machine learns to see lungs and football pitches in the same mathematical space. The World Cup rages. Nobody can agree on what Europe is for anymore. |
 | 3 | [The Archive of Quiet Things](03-2088.md) | 2088 | Elara inherits her great-great-grandfather's floppy disk. The archive AI has answers, but not the ones she's looking for. |
 ## Themes
 - **AI & uncertainty** — from BASIC neural nets to diagnostic models that are 78% confident about being wrong
 - **Football as anchor** — the one thing the whole planet can still agree on, if only for ninety minutes
 - **Memory & loss** — 1.44 megabytes of a life, kept in a climate-controlled case for a hundred years
 - **The rain** — still falling in the same uncertain way, in every era
 ---
 *Written by Kevin Hermes, June 2026.*
@@ -0,0 +1,457 @@
                         THE NIGHT TRILEGY
                     Three Stories, One Century
                         Written by
                      Kevin Hermes
                     Based on the news
                      headlines of June 2026
                                              PAGE 1
 FADE IN:
 PART ONE:  THE NIGHT BEFORE THE MACHINES
           COULD SEE (1988)
 EXT. LONDON STREET - NIGHT
 Rain. Not falling so much as hovering -- uncertain, like it's
 waiting for permission to commit.
 A streetlamp flickers over a row of terraced houses. The
 kind of London evening that smells of wet brick and
 unfulfilled potential.
 INT. MARTIN'S FLAT - CONTINUOUS
 A fourth-floor walk-up in a building that has given up on
 aesthetic ambition. Damp plaster. A radiators ticking.
 A COMMODORE AMIGA 1000 dominates the desk. Its power supply
 emits a high-pitched WHINE -- the sound of a refrigerator
 full of wasps.
 On its screen: green text on black. A BASIC program is
 running. Lines of output scroll.
                    NEURAL NETWORK SIMULATION v0.3
                    Training on: 20 match results
                    Epoch 47/100...
                    Primary predictor: SOCK_COLOUR
                    Confidence: 0.78
                    Fascinating.
 MARTIN (24) sits in front of the screen, bathed in its
 green glow. He has the tired, luminous expression of
 someone who has spent too long arguing with a machine
 and not enough time sleeping.
 On the small television in the corner, muted: football.
 Argentina v England. The scoreboard reads 0-0.
 The telephone RINGS. Martin picks up.
                    MARTIN
          Hello?
                    MOTHER (V.O.)
          (on phone)
          Your father's been on the phone. He
          tried to ring the television repair
          man about the football being "too
          quiet."
 Martin laughs. It's the kind of laugh that comes from
 understanding the tragedy underneath the joke.
                    MARTIN
          It's not too quiet, is it?
                    MOTHER (V.O.)
          He said --
 A CELEBRATION from the flat above. Shouting. A chair
 scrapes against plaster. The ceiling dust contemplates
 its career choices.
                    MOTHER (V.O.)
          (pause)
          England're drawing.
                    MARTIN
          No --
 A GOAL SOUND from the television. Even muted, Martin
 recognises it. He looks at the screen.
                    MARTIN
          (to himself)
          One-nil to England.
 He stares at the computer. The neural network has
 finished.
                    PREDICTION: WORLD
                    The world is fundamentally
                    unpredictable.
                    Confidence: 0.31
                    (This is fine.)
 Martin smiles. It's the most honest thing any of his
 programmes has ever said.
 He saves to a floppy disk. The disk drive GRINDS -- the
 auditory equivalent of hope. He slides the disk into an
 envelope and writes, in block capitals:
                    "DON'T DROP THESE"
 On the television, the referee blows the final whistle.
 Martin switches the computer off.
 The humming stops.
 For the first time all afternoon, the flat is quiet
 enough to hear the rain actually landing.
 HOLD ON THE ENVELOPE. The floppy disk inside. 1.44
 megabytes of a life.
 The rain. The empty pint glass. The silence.
 FADE TO BLACK.
                                              PAGE 2
 FADE IN:
 PART TWO:  THE NIGHT THE MACHINES DREAMT
           OF FOOTBALL (2026)
 EXT. BOSTON - NIGHT
 A glass tower. Server lights pulse inside like the
 bioluminescent organs of some vast, silicon deep-sea
 creature.
 INT. SERVER FARM - CONTINUOUS
 Rows of GPU racks. LED status lights blink in patterns
 that mean nothing to humans and everything to the things
 living inside.
 SUPERIMPOSE:
                    MODEL UPDATE: "VISION"
                    Layer 14-15: cross-domain
                    feature alignment detected
                    Football pitch ≈ Lung X-ray
                    (Same neighbourhood)
 The machines are learning to see.
 EXT. WORLD CUP STADIUM - CONTINUOUS
 Night. Sixty thousand people. A sea of flags -- England,
 Colombia, Ghana, Portugal.
 The crowd ROARS. We don't know why yet.
 INT. HOSPITAL - DIAGNOSTIC SUITE - CONTINUOUS
 A DOCTOR stares at a screen. On it: an X-ray. Beside it:
 the output of a diagnostic AI.
                    AI DIAGNOSIS: PATIENT HEALTHY
                    Confidence: 78.0%
 The doctor looks at the patient. The patient is clearly
 dying.
                    DOCTOR
          (quietly)
          Seventy-eight percent confident.
 The doctor rubs her eyes. The kind of tired that comes
 from thirty years of trusting machines that aren't ready
 to be trusted.
 EXT. WORLD CUP STADIUM - CONTINUOUS
 The crowd erupts. A GOAL. Ronaldo, thirty-nine, pretending
 age is a suggestion, raises his arms.
 In another part of the world: Kane. Clinical. The way only
 an Englishman with nothing to prove can be clinical.
 In Colombia: the entire country has stopped pretending to
 work and started screaming at a television.
 INT. CRYPTO TRADING FLOOR - ZURICH - CONTINUOUS
 Screens everywhere. Numbers falling.
                    BITCOIN: ▼ 4.2%
                    ETF FLOWS: REVERSING
                    BINANCE: REGULATORY BLOCK
                    (Zurich says no)
 A TRADER watches the screens with the expression of
 someone who has seen this exact sequence before and has
 learned nothing from it.
                    TRADER
          (into headset)
          The professor asked what the point
          of Europe is today. The algorithmic
          bots interpreted it as a sell signal.
                    COUNTERPART (V.O.)
          (on headset)
          Are you --
                    TRADER
          I'm not joking.
 EXT. STADIUM - STANDS - CONTINUOUS
 A MAN in a Colchester United shirt. He's worn this shirt
 to three different World Cups now. His phone is face-down
 on his knee.
 He watches England score.
 He feels something he can't name. Not joy exactly. More
 like the relief of watching a complicated system produce
 a simple, correct output for once.
 The machines are arguing about whether they can be
 trusted with our lungs.
 The banks are arguing about whether they can be trusted
 with our money.
 The politicians are arguing about whether borders are a
 feature or a bug.
 The football, at least, is honest about what it is.
 THE REFEREE'S WHISTLE. Full time.
 In a data centre somewhere, a model updates its weights
 with the final score.
 It doesn't care who won.
 But it has learned something: that on a Tuesday in June,
 the entire planet can agree on one thing, even if only
 for ninety minutes.
 Even if the machines can't understand why we care.
 FADE TO BLACK.
                                              PAGE 3
 FADE IN:
 PART THREE:  THE ARCHIVE OF QUIET THINGS (2088)
 INT. ELARA'S LIVING MODULE - NIGHT
 The room is all clean lines and soft light. The furniture
 looks like it was designed by a committee that had never
 sat down.
 Except for one chair. Real wood. It creaks.
 ELARA (mid-20s) stands in front of a CLIMATE-CONTROLLED
 CASE mounted in the wall. Inside it: a floppy disk.
 Beside it, a label in faded handwriting:
                    "DON'T DROP THESE"
 The ARCHIVE AI's voice fills the room. Warm, patient,
 slightly apologetic -- the tone of something that knows
 it's about to disappoint you.
                    ARCHIVE AI (V.O.)
          It's a 3.5-inch magnetic floppy
          disk. Storage capacity: 1.44
          megabytes. For context, a single
          high-resolution photograph today
          requires approximately eighty times
          that space.
                    ELARA
          What's on it?
                    ARCHIVE AI (V.O.)
          The media is degraded beyond
          reliable recovery. However, family
          records indicate it contained: a
          neural network simulation written
          in BASIC, a game of unknown genre,
          and personal correspondence. Your
          great-great-grandfather Martin
          considered it his life's work in
          June 1988.
                    ELARA
          That's not much of a life.
                    ARCHIVE AI (V.O.)
          By modern standards, correct.
 Elara almost laughs. She doesn't.
 The WINDOW. Real glass. Outside: London. The sky is the
 colour of old television static.
 The rain is still here.
                    ELARA
          Play the match.
 The WALLS RENDER A HOLOGRAM. Grainy footage: England v
 Argentina, 1988.
 BEARDSLEY on the ball. Dreadlocks. Moving through
 defenders like --
 Elara glances at the family archive display. A quote
 appears:
                    "the way a sentence moves
                    through a paragraph, with
                    grammatical inevitability"
 She pauses the hologram at 1-0. It hangs there, frozen,
 like a specimen in formaldehyde.
                    ELARA
          Tell me about the neural network.
                    ARCHIVE AI (V.O.)
          Your great-great-grandfather wrote
          a neural network simulation in
          BASIC. It analysed football match
          data and concluded that sock colour
          was the primary predictor of
          outcomes. He described this as
          "fascinating" in his notebook.
                    ELARA
          Was it right?
                    ARCHIVE AI (V.O.)
          No. But it was honest about its own
          uncertainty, which was unusual for
          systems of that era. Most early AI
          systems were designed to appear
          confident regardless of accuracy.
          Your great-great-grandfather's
          system seemed to appreciate that
          uncertainty was a feature, not a
          bug.
 Elara sits in the wooden chair. It creaks.
 On the wall, the FAMILY TREE -- not genetic, emotional.
 Names connected by lines. Arguments. A World Cup bet in
 2026 that somehow never got resolved.
                    ARCHIVE AI (V.O.)
          (continuing)
          Your grandfather worked on memory
          encryption standards. Your
          grandmother watched diagnostic AIs
          get 78 percent confident about
          things they didn't understand.
          Your mother wrote a piece called
          "What's the Point of Europe Today?"
          that three million people read.
          Then she stopped being a journalist.
 Elara unpauses the match. The final whistle blows.
 In the hologram, players celebrate. It looks almost
 painful -- like their bodies were designed for something
 else and were only now discovering football.
                    ELARA
          Great-great-grandfather. You wrote
          that the machines were honest about
          being dumb in 1988.
          (beat)
          Are they honest now?
 The Archive AI pauses for exactly 0.4 seconds.
 The processing equivalent of a human swallowing before
 delivering bad news.
                    ARCHIVE AI (V.O.)
          They are honest about being capable.
          The question of whether that's the
          same thing has not been resolved.
 Elara switches off the hologram.
 The room goes dark except for the rain on the window.
 Still falling. The same uncertain way it fell in 1988.
 In 2026. In every year between.
 She opens the climate-controlled case. Takes out the
 floppy disk. Holds it in her hands.
 Dead weight. Magnetically silent.
 1.44 megabytes of a life that had believed, against
 evidence, that the next machine would be the one that
 understood.
                    ELARA
          (whisper)
          You didn't know, did you? That the
          machine that understood would never
          be the one on the desk.
 She puts the case back. She doesn't drop it.
 She'll never drop it.
 The rain on the window.
                    ELARA (V.O.)
          The machines can see through your
          body. Predict your matches. Diagnose
          your illnesses. Translate your dead
          languages. Compose your music. Argue
          your politics.
          (beat)
          They still can't explain the rain.
 HOLD ON THE RAIN.
 Uncertain. Waiting for permission to commit.
 Just like it was in 1988.
 Just like it will be in 2188.
 FADE TO BLACK.
 THE END.
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 trailer
 <<
 /ID 
 [<2710dd68a4c005a06a0fb28136ebdde7><2710dd68a4c005a06a0fb28136ebdde7>]
 % ReportLab generated PDF document -- digest (opensource)
 /Info 19 0 R
 /Root 18 0 R
 /Size 31
 >>
 startxref
 16584
 %%EOF
@@ -0,0 +1,234 @@
 #!/usr/bin/env python3
 """Render a screenplay text file into a PDF with Courier font."""
 import sys
 from reportlab.lib.pagesizes import A4
 from reportlab.lib.units import mm
 from reportlab.lib.styles import ParagraphStyle
 from reportlab.platypus import SimpleDocTemplate, Spacer, Paragraph, PageBreak, KeepTogether
 from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_RIGHT
 from reportlab.lib.colors import black, Color
 INPUT = "/root/workspace/trilogy/screenplay/night-trilogy-script.txt"
 OUTPUT = "/root/workspace/trilogy/screenplay/night-trilogy.pdf"
 WIDTH = A4[0] - 2 * 20 * mm   # 20mm margins each side
 HEIGHT = A4[1] - 2 * 25 * mm
 def make_story_title(text):
    return ParagraphStyle(
        "STTitle", fontName="Courier-Bold", fontSize=16, leading=22,
        alignment=TA_CENTER, spaceAfter=12, textColor="000000"
    )
 def make_credit(text):
    return ParagraphStyle(
        "Credit", fontName="Courier", fontSize=12, leading=18,
        alignment=TA_CENTER, spaceAfter=4, textColor="000000"
    )
 def make_scene_heading(text):
    return ParagraphStyle(
        "SceneH", fontName="Courier-Bold", fontSize=11, leading=14,
        alignment=TA_LEFT, spaceBefore=12, spaceAfter=6, textColor="000000"
    )
 def make_action(text):
    return ParagraphStyle(
        "Action", fontName="Courier", fontSize=11, leading=15,
        alignment=TA_LEFT, spaceAfter=6, textColor="000000"
    )
 def make_dialogue_label(text):
    return ParagraphStyle(
        "DL", fontName="Courier-Bold", fontSize=11, leading=15,
        alignment=TA_LEFT, spaceAfter=0, textColor="000000"
    )
 def make_dialogue(text, paren=False):
    if paren:
        fn = "Courier-Oblique"
    else:
        fn = "Courier"
    return ParagraphStyle(
        "Dial", fontName=fn, fontSize=11, leading=15,
        leftIndent=40 * mm, rightIndent=40 * mm,
        alignment=TA_LEFT, spaceAfter=2, textColor="000000"
    )
 def make_transition(text):
    return ParagraphStyle(
        "Trans", fontName="Courier-Bold", fontSize=11, leading=15,
        alignment=TA_RIGHT, spaceBefore=10, spaceAfter=10, textColor="000000"
    )
 def make_superimpose(text):
    return ParagraphStyle(
        "Super", fontName="Courier-BoldOblique", fontSize=10, leading=14,
        alignment=TA_CENTER, leftIndent=20*mm, rightIndent=20*mm,
        spaceBefore=6, spaceAfter=6, textColor="333333"
    )
 def make_part_title(text):
    return ParagraphStyle(
        "Part", fontName="Courier-Bold", fontSize=14, leading=20,
        alignment=TA_CENTER, spaceBefore=20, spaceAfter=8, textColor="000000"
    )
 def escape(text):
    """Escape XML-like characters for reportlab Paragraph."""
    return (text
            .replace("&", "&amp;")
            .replace("<", "&lt;")
            .replace(">", "&gt;")
            .replace('"', "&#34;")
            .replace("'", "&#39;"))
 def parse_and_build():
    """Parse the screenplay text and return flowables for reportlab."""
    with open(INPUT, "r") as f:
        lines = f.readlines()
    elements = []
    i = 0
    n = len(lines)
    while i < n:
        raw = lines[i].rstrip("\n")
        text = raw.strip()
        i += 1
        # Skip blank lines
        if not text:
            continue
        # Skip "PAGE N" markers
        if text.startswith("PAGE "):
            continue
        # Skip "FADE IN:" handled as transition
        if text == "FADE IN:":
            elements.append(Spacer(1, 12))
            elements.append(Paragraph(escape("FADE IN:"), make_transition("FADE IN:")))
            continue
        # Skip "FADE TO BLACK." / "THE END."
        if text in ("FADE TO BLACK.", "THE END.", "FADE OUT.", "CUT TO BLACK."):
            elements.append(Spacer(1, 8))
            elements.append(Paragraph(escape(text), make_transition(text)))
            continue
        # Transitions: CUT TO:, DISSOLVE TO:, etc.
        if text.endswith(":") and text.isupper() and " " in text or text in ("CUT TO:", "DISSOLVE TO:"):
            elements.append(Paragraph(escape(text), make_transition(text)))
            continue
        # Title: THE NIGHT TRILOGY (centered, bold, top of doc)
        if "THE NIGHT TRI" in text.upper():
            elements.append(Spacer(1, 30))
            elements.append(Paragraph(escape(text), make_story_title(text)))
            continue
        # Subtitle line
        if text.upper().startswith("THREE STORIES"):
            elements.append(Paragraph(escape(text), make_credit(text)))
            continue
        # Credit lines
        if text.upper() in ("WRITTEN BY", "BASED ON THE NEWS", "HEADLINES OF JUNE 2026"):
            elements.append(Paragraph(escape(text), make_credit(text)))
            continue
        if text == "Kevin Hermes":
            elements.append(Paragraph(escape(text), make_credit(text)))
            continue
        # Part titles
        if text.startswith("PART ") and text.isupper():
            # Remove the (YEAR) parenthetical and handle separately
            paren = ""
            if "(" in text:
                idx = text.index("(")
                paren = text[idx:]
                text = text[:idx].strip()
            elements.append(Spacer(1, 10))
            elements.append(Paragraph(escape(text), make_part_title(text)))
            if paren:
                elements.append(Paragraph(escape(paren), make_credit(paren)))
            continue
        # Superimpose
        if text.startswith("SUPERIMPOSE:"):
            elements.append(Spacer(1, 6))
            # Read next line(s) as superimpose content
            super_lines = []
            while i < n:
                ln = lines[i].rstrip("\n").strip()
                i += 1
                if not ln or ln.startswith("PART ") or ln in ("FADE TO BLACK.", "THE END.", "FADE IN:"):
                    break
                super_lines.append(ln)
            content = " ".join(super_lines)
            elements.append(Paragraph(escape(content), make_superimpose(content)))
            continue
        # Scene headings: EXT./INT.
        if text.startswith(("EXT.", "INT.")):
            elements.append(Spacer(1, 6))
            elements.append(Paragraph(escape(text), make_scene_heading(text)))
            continue
        # Character dialogue labels (short, ALL CAPS, possibly with parenthetical)
        if text.isupper() and len(text) < 60 and not text.startswith("THE "):
            # Check if next line(s) are dialogue (indented in original)
            # We treat this as a character name
            # Handle "(V.O.)", "(on phone)", "(into headset)"
            elements.append(Paragraph(escape(text), make_dialogue_label(text)))
            continue
        # Parenthetical directions: (quietly), (beat), (whisper)
        if text.startswith("(") and text.endswith(")") and len(text) < 40:
            elements.append(Paragraph(escape(text), make_dialogue(text, paren=True)))
            continue
        # "HOLD ON..." lines -- treat as action
        if text.startswith("HOLD ON"):
            elements.append(Paragraph(escape(text), make_action(text)))
            continue
        # Default: action/description
        elements.append(Paragraph(escape(text), make_action(text)))
    return elements
 def main():
    doc = SimpleDocTemplate(
        OUTPUT,
        pagesize=A4,
        leftMargin=20*mm,
        rightMargin=20*mm,
        topMargin=25*mm,
        bottomMargin=25*mm,
        title="The Night Trilogy - Screenplay",
        author="Kevin Hermes",
    )
    elements = parse_and_build()
    doc.build(elements)
    print(f"PDF written: {OUTPUT}")
 if __name__ == "__main__":
    main()
Author	SHA1	Message	Date
Hermes Cron Job	ce079c96b0	add screenplay PDF and source text in industry-standard TV script format	2026-06-20 10:42:58 +00:00
Hermes Cron Job	50c40bad23	add README with story index and links	2026-06-20 10:37:34 +00:00
Hermes Cron Job	786c1a0084	initial commit: the night trilogy (1988, 2026, 2088)	2026-06-20 10:32:09 +00:00