Run: 2026-03-06-01KK1GSBMBPYRDEHYKFD90VVTD

Run Details

Model:
GPT-5.4
Duration:
1m 30s
Cost:
$0.045409
Provider:
OpenAI

Model input

System
You are an expert and award-winning novel writer in the dark Literary Fiction genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Aurora nearly dropped the tray when she heard her own dead name spoken in a voice she had not heard in years. “Laila?” The glasses clinked hard against each other. One slid, tipped, and she caught it with the heel of her hand before it smashed on the floor. Lager sloshed over her fingers, cold and bitter. She set the tray down on the bar with more force than grace, wiped her palm on a cloth, and turned. He stood three stools down, one hand still half lifted as if he had reached through the noise and smoke and found her by accident. For a second she did not know him. Then the bones arranged themselves into memory. “Tom.” He gave a short laugh that did not belong to the boy she had known. “So it is you.” The room pressed in around them. The Raven’s Nest always held its secrets close. Green neon from the sign outside leaked through the front windows and washed the bottles in a sickly glow. Old maps curled at the corners on the walls. Black-and-white faces stared down from photographs, all of them caught mid-smile or mid-suspicion. The bar smelt of citrus peel, spilt gin, fried onions from the kitchen next door, and the faint old-paper scent of the hidden room behind the bookshelf. Someone at the far end fed coins into the jukebox and got nothing for it but a click and a curse. Aurora looked him over in one clean sweep. He had been all elbows and restless grins once. Now he wore a dark suit that fit too well to be borrowed and too plain to be vanity. His hair had thinned at the temples. There was a pale line under his chin, not large, but too neat for childhood. A wedding ring sat on his hand. He held himself with a stillness that looked expensive. “You’re a long way from Cardiff,” she said. “So are you.” She reached for the tray again because hands needed jobs. “What are you drinking?” “That’s your first question?” “It’s the useful one.” A small smile touched his mouth. “Whisky. Neat.” She poured without asking which bottle. If he had become the kind of man who cared about labels, he could correct her. He did not. He watched her hands instead. “You work here?” “Up there, actually. I work here, I live here, I sleep badly here. Efficient arrangement.” “That sounds like you.” “No,” she said, sliding the whisky across, “it sounds like London.” He picked up the glass but did not drink. “You look different.” “People usually do after years pass.” “I meant, you look, sharper.” “That the polite version?” “It’s the true one.” She gave a dry shrug. “You look as if you tell people where to sit.” “I’m a solicitor.” That landed between them with a soft, ugly weight. Aurora barked a laugh before she could stop it. “Of course you are.” “You say that like an insult.” “I say that like your seventeen-year-old self would have set fire to the idea.” “My seventeen-year-old self had many stupid principles.” “And now?” “Now I bill by the hour.” That almost made her smile. Almost. She leaned one hip against the back bar and folded the damp cloth in her hands. His face had changed in the way buildings changed, the same outline with different damage. The old warmth was there somewhere, but hidden under polish and caution. A customer lifted two fingers at the end of the bar. Aurora nodded, poured a gin and tonic, took cash, gave change, came back. Tom had not moved. “I thought you were in Bristol,” he said. “I was. Then I wasn’t.” “I heard law in Cardiff, then silence.” “Silence suited me.” He looked at the crescent scar on her left wrist as her hand rested on the bar. She saw him notice and hated that she remembered the exact day he had first seen it, both of them twelve, both of them convinced blood made everything serious. “You vanished,” he said. “I left.” “Same result.” Silas appeared at the far end like he had been assembled from the dark itself. Tall, broad-shouldered, his grey-streaked auburn hair combed back, his hazel eyes taking stock in one sweep. The silver signet ring on his right hand caught the low light as he set down a crate of bottles. His limp showed for a step, then vanished into habit. “Problem, Rory?” “Only nostalgia.” Silas glanced at Tom, measured him, and found no immediate use for him. “Keep it to one stool.” “Generous as ever,” Aurora said. “Business thrives on discipline.” He moved on. Tom watched him go. “Rory?” She grimaced. “That one stuck.” “I like it.” “You lost the right to like things about me when you disappeared.” His jaw tightened, just once. “That’s not fair.” “Then order another drink and explain fairness to me.” He did drink then, a short swallow that left the whisky bright on his lower lip. “I didn’t disappear. My father had the stroke. I came home. Chambers offered me training. My mother was drowning in debt. One decision became another.” “You had a phone.” “I called.” “You called twice.” “I wrote.” “You sent one email that began with Sorry this is overdue, as if you were returning a library book.” Noise swelled around them, then dipped. Two men argued over football near the door. A woman in a red wool coat laughed too loudly at something that was not funny. Glasses knocked. A chair scraped. The Nest held all of it without ever sounding busy. It had the close, listening air of a confessional where nobody meant repentance. Tom ran his thumb over the rim of the glass. “You didn’t answer.” “I had good instincts.” He looked at her then, properly looked, and she saw the old habit return, the one where he read her face as if revision notes might be hidden in it. Back in Cardiff, in the library, in cafés, on pavements sticky with old beer, he had always looked at her like that, amused and intent, as if she were both puzzle and answer. He used to talk too quickly when excited. Used to forget to eat. Used to say her borrowed name, Laila, with a grin because she had once used it to get out of trouble and he had found it glorious. Now he measured each word before he let it out. “Eva told me,” he said. Aurora’s expression did not move. “Did she.” “Not then. Later. About him.” There it was. Not Evan’s name, just the shape of him. “She had no right.” “She was worried.” “People like to be worried. It makes them feel useful.” Tom set the glass down. “I’m not people.” “No,” Aurora said, “you’re a solicitor.” The hit landed. He accepted it. “I should’ve come,” he said. “You should’ve stayed, before it reached that point.” He opened his mouth, shut it, then gave a short nod as if she had entered evidence he could not dispute. “Fair enough.” She turned to pull a pint, let the silence stretch, set the pint in front of a waiting hand, took another order, sliced a lime. The knife flashed. The blade bit the board with a clean, regular sound. When she faced him again, he looked older than he had a minute before. “What brings you here?” she asked. “A client dinner in Soho.” “That sounds grim.” “It was.” “And this was the nearest place with alcohol?” “This was the only place where I saw your face through the window and forgot whatever else I meant to do.” The line should have felt slick. He said it like an apology. Aurora stared at him. “You were never that smooth.” “Marriage teaches diplomacy.” She looked at the ring again. “How educational.” He followed her gaze. “Was married.” Something in his voice roughened on the last word. Not theatre. A bruise pressed by accident. “I’m sorry,” she said, and meant it before she had time to resent meaning it. “Don’t be. She left two years before the decree. The paperwork just caught up.” “What happened?” He gave a small smile. “I became a solicitor.” “That bad?” “She said I argued in footnotes. She wasn’t wrong.” Aurora laughed, real this time. It startled both of them. His shoulders loosened, and for one brief, vicious second she saw the boy in the man, saw him on the stone wall outside school with an apple in one hand and stolen exam answers in the other, inventing his future with all the confidence of the doomed. “You were meant to write novels,” she said. “And you were meant to terrify judges.” “I still might.” “Do you?” She wiped the counter in slow circles. “I deliver noodles. I pour drinks. I pay rent on time. I mind my own business until business climbs through the window.” “That’s not an answer.” “It’s the only one going.” The jukebox coughed into life with an old soul record, all ache and brass. Someone near the back let out a cheer. Silas glanced up from polishing glasses, disapproved on principle, and let the song stay. Tom leaned in, lower now, his voice threading through the music. “Do you ever think about it?” “About what.” “The old version. You. Me. Cardiff. All that noise about what we’d become.” Aurora set the cloth down. “You mean do I think about our grand ascent?” “I mean do you ever miss who you were before life got practical.” “No.” She held his gaze. “I miss who I was before I got frightened.” That shut him still. He looked at the bar top, at his own hand, at the ring that remained because gold outlasted promises. “I read your article.” She blinked. “What article?” “The student paper. Second year. About legal aid cuts. You signed it Aurora Carter, not Laila. I kept it.” “Why?” “Because it was good.” A customer interrupted for cigarettes, another for the toilet key, another for the bill. Aurora fielded them all by instinct. When she came back, Tom had finished his whisky. “You kept one article for years?” she asked. “I kept more than that.” “Dangerous confession in a place like this.” “I’m past caution.” “That’s new.” “It is.” He reached into the inside pocket of his jacket. Aurora’s shoulders stiffened before she could stop them. He paused at once, palm flat against the cloth, and his eyes flicked up in quick recognition of what he had done. “Sorry.” He drew out a folded clipping, yellowed at the creases, and laid it on the bar between them. Her name stared up at her from cheap old print. For a second the room blurred at the edges. Not from sentiment. From rage, sudden and irrational, at the fact that paper endured. She remembered writing it in a bad café on no sleep and bad coffee, fury carrying every sentence. She remembered believing words might force the world to blush. “You carried this with you?” “It was in my wallet. It survived the washing machine twice.” “That’s pathetic.” “Yes.” “Why?” His mouth moved, then settled into truth. “Because you were the only person I knew who meant what she said.” She looked away first. Over his shoulder, the green neon bled across the front window. A pair of tourists hesitated at the entrance, saw the faces inside, and thought better of it. Good instincts. The Nest had a way of sorting the reckless from the merely curious. When she spoke again, her voice had gone flatter. “You don’t get to arrive out of nowhere and hand me old versions of myself like gifts.” “I know.” “You don’t get to make absence sound noble because your father got ill and your career hardened around you.” “I know.” “You don’t get to stand there with your careful suit and your dead marriage and that look on your face and ask me to do the archaeology for both of us.” He took that too. No defence. No legal phrasing. Just the weight of it. “I came in for one drink,” he said. “Then I saw you. That changed the night. I don’t know what else to call it.” “A coincidence.” “Punishment.” “Self-importance suited you more as a teenager.” He almost smiled. “There she is.” Aurora snatched the clipping and folded it once, twice, tighter than needed. “What do you want from me, Tom?” The question hung there, clean and dangerous. He did not answer at once. His eyes held hers, and for the first time all evening he looked stripped of management, stripped of charm, stripped of the professional hide he had grown over old nerves. “The truth?” “No, lie to me beautifully.” “I wanted to see if you hated me.” She let out a breath through her nose. “And?” “I still can’t tell.” “That should trouble you.” “It does.” Silas moved down the bar again, slower this time. His gaze slid from Aurora’s face to the folded clipping in her hand, then to Tom. He had the look of a man counting exits. “Rory.” “What.” “Back room. Now.” Her head turned. “Why.” Silas did not answer her. He looked at Tom. “Stand up.” Tom frowned. “I’m not causing trouble.” “Didn’t say you were.” Then the front window exploded. Glass burst inward in a hard silver sheet. Screams ripped through the room. Bottles shattered behind the bar. A brick skidded across the floor and stopped against Tom’s shoe with a paper note tied around it in black string. Silas had Aurora by the shoulder before the last shard hit the ground. “Don’t touch that,” he snapped. But Tom had already looked down, and his face drained white. On the note, in thick black ink, someone had written one word. LAILA.
created_at"2026-03-06T12:08:34.204Z" 3/6/2026, 12:08:34 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency472
moderation_latency(null)
generation_time90049
tokens_prompt4618
tokens_completion3728
native_tokens_prompt4131
native_tokens_completion2934
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached3968
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0454095
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_01d61da03b4aa7ef0169aac3c244ac8194a76f3d01d022f463"
is_byokfalse
latency202
model_permaslug"openai/gpt-5.4-20260305"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1772798914-nrvPtCB7L078jHCoA6uF"
upstream_id"resp_01d61da03b4aa7ef0169aac3c244ac8194a76f3d01d022f463"
total_cost0.0454095
cache_discount0.008928
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences138
tagDensity0.109
leniency0.217
rawRatio0
effectiveRatio0
97.83% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2299
totalAiIsmAdverbs1
found
0
adverb"quickly"
count1
highlights
0"quickly"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
73.90% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2299
totalAiIsms12
found
0
word"efficient"
count1
1
word"weight"
count2
2
word"warmth"
count1
3
word"silence"
count3
4
word"measured"
count2
5
word"flicked"
count1
6
word"charm"
count1
7
word"shattered"
count1
highlights
0"efficient"
1"weight"
2"warmth"
3"silence"
4"measured"
5"flicked"
6"charm"
7"shattered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences160
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences160
filterMatches
0"notice"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences283
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2299
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions28
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount1549
uniqueNames8
maxNameDensity0.97
worstName"Aurora"
maxWindowNameDensity2.5
worstWindowName"Tom"
discoveredNames
Raven1
Nest3
Silas6
Tom12
Cardiff1
Laila1
Aurora15
Evan1
persons
0"Raven"
1"Nest"
2"Silas"
3"Tom"
4"Laila"
5"Aurora"
6"Evan"
places
0"Cardiff"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences102
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.435
wordCount2299
matches
0"not large, but too neat for childhood"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences283
matches
0"hated that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs179
mean12.84
std16.69
cv1.3
sampleLengths
022
11
255
340
41
519
6103
774
88
93
1014
114
124
138
1430
153
1615
174
1811
1912
206
215
224
234
2415
253
269
2713
286
2914
307
312
326
3349
3428
358
365
377
383
3946
404
412
422
4361
442
452
4618
475
484
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences160
matches
0"been assembled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs274
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences283
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1556
adjectiveStacks0
stackExamples(empty)
adverbCount54
adverbRatio0.03470437017994859
lyAdverbCount7
lyAdverbRatio0.004498714652956298
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences283
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences283
mean8.12
std6.87
cv0.846
sampleLengths
022
11
27
319
48
521
625
78
87
91
1015
114
126
138
1419
159
1613
1727
1821
198
209
2119
227
2315
247
259
268
273
2810
294
304
314
326
332
346
3516
363
375
383
3915
404
4111
429
433
446
455
464
474
485
4910
46.82% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.2826855123674912
totalSentences283
uniqueOpeners80
71.94% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences139
matches
0"Then the bones arranged themselves"
1"Just the weight of it."
2"Then the front window exploded."
ratio0.022
64.60% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount54
totalSentences139
matches
0"She set the tray down"
1"He stood three stools down,"
2"He gave a short laugh"
3"He had been all elbows"
4"His hair had thinned at"
5"He held himself with a"
6"She reached for the tray"
7"She poured without asking which"
8"He did not."
9"He watched her hands instead."
10"she said, sliding the whisky"
11"He picked up the glass"
12"She gave a dry shrug."
13"She leaned one hip against"
14"His face had changed in"
15"He looked at the crescent"
16"She saw him notice and"
17"His limp showed for a"
18"He moved on."
19"His jaw tightened, just once."
ratio0.388
67.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount109
totalSentences139
matches
0"Aurora nearly dropped the tray"
1"The glasses clinked hard against"
2"Lager sloshed over her fingers,"
3"She set the tray down"
4"He stood three stools down,"
5"He gave a short laugh"
6"The room pressed in around"
7"The Raven’s Nest always held"
8"The bar smelt of citrus"
9"Someone at the far end"
10"Aurora looked him over in"
11"He had been all elbows"
12"His hair had thinned at"
13"A wedding ring sat on"
14"He held himself with a"
15"She reached for the tray"
16"A small smile touched his"
17"She poured without asking which"
18"He did not."
19"He watched her hands instead."
ratio0.784
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences139
matches
0"Now he wore a dark"
1"If he had become the"
2"Now he measured each word"
ratio0.022
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences60
technicalSentenceCount1
matches
0"He looked at the bar top, at his own hand, at the ring that remained because gold outlasted promises."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount1
fancyTags
0"he snapped (snap)"
dialogueSentences138
tagDensity0.101
leniency0.203
rawRatio0.071
effectiveRatio0.014
93.5447%