Run: 2026-04-24-01KQ0NMKAX6GDPCKED4W1W2SDK

Run Details

Duration:
1m 54s
Cost:
$0.140415
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
The bottle slipped from Aurora Carter’s crate, spun once, and the stranger caught it by the neck before it smashed against the brass foot rail. “Still buying Polish vodka by the guilty case, Blackwood?” Silas Blackwood stopped polishing the glass in his hand. The Raven’s Nest did not stop with him. A fruit machine hiccuped in the corner. Someone laughed too loudly beneath a framed photograph of a bridge in Budapest. The green neon sign above the entrance threw its sickly colour through the front window and painted the stranger’s cheek like old hospital light. Aurora tightened her grip on the crate. Her left wrist ached where the small crescent scar pulled against the weight. The stranger placed the bottle on the bar with care. She had a narrow face, almost severe, and hair cut close to the scalp, iron grey at the temples though she could not have had more than a few years on Silas. A long pale mark climbed from her collar into the hinge of her jaw, glossy and hard, as if someone had poured wax over a wound and called it healing. Her coat looked expensive at first glance, then exhausted at the cuffs. Silas set down the glass. “Mara.” The name did not leave his mouth. It fell from it. The woman smiled without softening. “That’s the one they buried.” A man at the end of the bar turned his head. Silas’s hazel eyes cut towards him, mild as a closed knife. “Drink up, Bernard.” “I’ve half a pint.” “Then make peace with waste.” Bernard looked from Silas to the woman and back again. He left coins by his glass and gathered his scarf with the care of a man who had no wish to learn a story from the inside. The other regulars followed in that strange London way, one cue enough for a whole room to remember urgent errands elsewhere. Aurora watched them go. Chairs scraped. Coats lifted from hooks. The door opened, shut, opened, shut. Each time the green sign trembled in the glass. Silas reached under the counter and turned the lock on the till drawer. “Rory, the front.” Aurora set the crate down. “You want me upstairs?” “I asked for the front.” The stranger looked at Aurora properly then. Bright blue eyes met grey ones. The woman’s gaze rested too long on Aurora’s hair, her hands, the flat calm of her face. Assessment, not curiosity. “You’ve taken in staff.” “I run a bar.” “You run a confessional with optics.” Aurora slid the bolt across the front door. “And you’ve walked into it bleeding atmosphere. If anyone plans to use a gun, give me ten seconds to move the decent gin.” Mara’s smile found one corner of her mouth. “This one bites.” “She invoices by the wound.” Silas’s voice had regained its old shape, smooth, dry, built to hide doors. Yet his right hand rested flat on the bar, silver signet ring pressed to the wood. Aurora had seen that hand pour whisky for men who had lied about dead sons and women who had lied about live husbands. It never shook. Now the ring clicked once against the counter. Mara heard it. “Still wearing the family seal.” “Still counting other people’s jewellery.” “Habit. They took mine in a basement outside Brno. Wedding ring first, then a molar. The ring came easier.” No one answered that. The bar changed after the last customer left. It shrank. The old maps on the walls, Prague, Vienna, Sarajevo, did not look decorative with Mara beneath them. They looked like evidence. The black-and-white photographs watched from their frames, blurred men on bridges, women in doorways, a boy with a suitcase staring past the camera as if he had already seen the worst of his life. Silas took three tumblers from a shelf. “Whisky?” “Hot water.” “You hated water.” “I hated many harmless things.” Aurora moved behind the bar before Silas asked. The kettle lived beneath the shelf of single malts, beside a tin of tea no one drank unless grief forced manners on them. She filled it and flicked the switch. The small sound cut through the room. Mara removed her gloves finger by finger. Two nails on her left hand had grown ridged and yellow. The third finger bent poorly, as if the bone remembered a different shape. Silas took in the hand. “Who did that?” “You ask like a man with authority.” “I ask like a man who knew you before.” “Before is a country with strict border control.” The kettle began its low rattle. Aurora took a clean glass and poured hot water into it. Steam rose. Mara watched it as if it might form letters. Silas poured whisky for himself and left the second tumbler empty. “You walked through my door after nineteen years for hot water.” “Twenty-one.” “Prague was nineteen.” “Prague was the night you stopped counting.” The words landed clean. No raised voice. No theatre. Silas’s jaw worked once, then stilled. Aurora placed the hot water in front of Mara and stepped back, but not far. Silas did not tell her to leave. That meant something. In The Raven’s Nest, silence had ranks. Mara wrapped both hands round the glass. “You look older, Si.” “I made an effort.” “No. You look arranged. Neat beard. Polished bar. Photographs hung straight. Even the limp has timing.” Silas lifted his whisky. “And you look like someone who came to be cruel before asking for help.” “I practised on the train.” “You always preferred entrances.” “I used to prefer applause.” The line should have carried charm. It carried ash. Silas drank. His face did not change, but his throat moved with effort. “I went back.” Mara stared into the hot water. “For your coat?” “For you.” A short laugh left her, more breath than sound. “There it is.” “There what is?” “The little coin men keep under the tongue. I went back. I searched. I suffered too. Roll it round long enough and it tastes like absolution.” Aurora touched the edge of the bar cloth. Something in Mara’s voice had no heat, no rage. Rage still believed in repair. This woman had outlived that luxury. Silas leaned on the bar. His bad leg held stiff beneath him. “The safehouse burned for six hours. Vacek’s men had the street sealed. I found Orton in the alley with half his head gone. I found your scarf on the stairs.” “My scarf.” “Blue.” “Green.” Silas’s eyes closed for the length of a blink. Mara lifted the glass, smelled the steam, did not drink. “You never could tell colours under sodium lamps.” “Mara.” “You should have known. I never wore blue. Said it made me look like a drowned schoolgirl.” “You were dead.” “No. I was useful.” The fruit machine in the corner clicked to itself, then fell quiet. Aurora wanted the room to have another sound in it, any sound, traffic, music, Bernard complaining about the price of bitter. Instead the walls held their breath. Silas set down his whisky. “Who held you?” Mara’s thumb rubbed the twisted finger. “Names changed. Rooms changed. Men aged out. New men arrived with softer shoes and better dental work. Prague first. Then outside Brno. Then a place where the guards played Italian radio all night because no one understood the songs.” “How long?” “You mean how many years do you owe me?” Silas said nothing. “Seven in rooms. Four in arrangements. Ten becoming what they made room for.” Aurora felt the sentence move through Silas. He did not flinch. That made it worse. “What does that mean?” Mara looked at the wall behind him. A black-and-white photograph of three young people on a riverbank hung near the top shelf. Silas stood in the centre, younger, leaner, hair bright auburn, smile reckless enough to belong to another bloodline. Beside him a woman with a wide grin held two bottles by their necks. Her hair had flown loose around her face. The man on Silas’s other side had his arm slung across both their shoulders. Mara pointed. “It means she died better than I did.” Silas did not turn to look. “I kept that because I had so little proof.” “You kept it because guilt likes a frame.” Aurora picked up the empty crate and moved it under the counter. Her hands needed work. Her mind sorted facts faster than the room offered them. Mara knew the exits. Silas kept her in front of the mirror behind the bar. Neither had asked how the other found sleep. Neither would. Mara opened her coat. Silas’s hand dipped beneath the bar. “Easy. If I meant to kill you, I’d have ordered gin.” She drew out a small flat packet wrapped in brown paper and tied with black thread. She placed it between them. Silas did not touch it. “I retired.” “Men like you moult. They don’t retire.” “I own a bar.” “You own ears from Soho to St Pancras. You own favours in three embassies and one mortuary. You own a bookmaker in Bethnal Green who sends you Christmas cards in code.” Aurora glanced at Silas. He looked almost bored. “Gerry’s festive spirit is his own affair.” Mara’s eyes cut to Aurora again. “And you keep a girl upstairs who can lock a door without turning her back on a room.” Aurora held her gaze. “Woman.” “Good.” Silas tapped the packet once with his signet ring. “What is it?” “Names.” “Whose?” “People who believed Prague ended in Prague.” The thread had a greasy sheen. Not wax. Something darker. Silas noticed too. “Blood?” “Mine, for once.” He reached for the packet. Mara’s hand snapped over his wrist. Fast. Too fast for a woman with damaged fingers. “Not here.” Aurora saw Silas’s face then, not the bar owner’s, not the old operative’s, but the brief exposed face of a man who had once trusted speed and now measured what it had cost. Mara released him. “Your bookshelf still opens?” Silas looked towards the back wall. Aurora followed his gaze. The shelf held travel guides no one borrowed, a cracked chess set, and a row of dull hardbacks with titles in German. She had dusted it every Tuesday for six months before Silas showed her the catch. Hidden back room, soundproofed, narrow, stale with coffee and secrets. Men entered it smiling and left with their collars damp. “You came prepared.” “I came late.” “That’s not the same.” “No. Late gets people buried.” Silas took the packet, but did not lift it. “Why now?” Mara’s mouth tightened. Pain passed across her face with the discipline of a soldier crossing a lit window. “Because someone started killing the dead.” The bar seemed to tilt around the phrase. Aurora stepped closer. “That’s either a metaphor or the worst job title in London.” Mara looked at her with a trace of approval. “Three names from Prague surfaced last month. Men with graves. Men with pensions paid to widows who remarried and forgot how to pronounce them. All three died again.” Silas’s voice dropped. “How?” “Publicly. Messily. With messages pinned to what remained.” “Who sent you?” “No one sends me now.” “Who followed you?” Mara finally drank the hot water. She swallowed as if it hurt. “I lost two at Tottenham Court Road. One in Wardour Street.” Silas’s hand tightened around the packet. “And the others?” Mara set the glass down. The green neon sign buzzed above the door, loud and ugly. Once. Twice. Tick-tock without a clock. Aurora turned her head. A man stood outside the locked front door with a motorcycle helmet under one arm and a Golden Empress delivery bag in his hand. The restaurant’s red dragon logo grinned from the plastic. Yu-Fei used those bags for noodles, dumplings, rice, ordinary hunger. This one sagged under a weight that did not settle like food. Aurora’s stomach clenched. “I didn’t take a run tonight.” Silas moved first, lame leg and all, one hand sweeping the packet from the bar, the other reaching beneath the counter. The man outside lifted his face to the glass. He wore Bernard’s scarf. Mara whispered one word, flat as a verdict. “Down.” The front window burst inward. Glass flew green and bright across the bar as the first shot punched through the photograph above Silas’s head.
created_at"2026-04-24T21:16:53.994Z" 4/24/2026, 9:16:53 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency46443
moderation_latency(null)
generation_time114122
tokens_prompt4618
tokens_completion3513
native_tokens_prompt4131
native_tokens_completion4568
native_tokens_completion_images0
native_tokens_reasoning1906
native_tokens_cached3840
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.140415
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_015dcee1c9e88f0b0169ebddc6149881949662f73c1a65b1ba"
is_byokfalse
latency305
model_permaslug"openai/gpt-5.5-20260423"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777065413-yUBOBotF1BtKPYvxqdyD"
session_id(null)
api_type"completions"
id"gen-1777065413-fo2Mn5Pv7IFn2PZsUdDD"
upstream_id"resp_015dcee1c9e88f0b0169ebddc6149881949662f73c1a65b1ba"
total_cost0.140415
cache_discount0.01728
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2053
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
80.52% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2053
totalAiIsms8
found
0
word"weight"
count2
1
word"trembled"
count1
2
word"flicked"
count1
3
word"silence"
count1
4
word"charm"
count1
5
word"measured"
count1
6
word"stomach"
count1
highlights
0"weight"
1"trembled"
2"flicked"
3"silence"
4"charm"
5"measured"
6"stomach"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences161
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences161
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences256
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2053
ratio0
matches(empty)
97.22% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions1
matches
0"Aurora wanted the room to have another sound in it, any sound, traffic, music, Bernard complaining about the price of bi…"
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions101
wordCount1419
uniqueNames17
maxNameDensity2.61
worstName"Silas"
maxWindowNameDensity4.5
worstWindowName"Silas"
discoveredNames
Aurora23
Carter1
Blackwood1
Raven2
Nest2
Budapest1
Silas37
London1
Prague1
Vienna1
Sarajevo1
Mara23
Bernard3
German1
Tuesday1
Golden1
Empress1
persons
0"Aurora"
1"Carter"
2"Blackwood"
3"Raven"
4"Nest"
5"Silas"
6"Mara"
7"Bernard"
places
0"Budapest"
1"London"
2"Prague"
3"Vienna"
4"Sarajevo"
5"German"
globalScore0.196
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences105
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords0.974
wordCount2053
matches
0"not the bar owner’s, not the old operative’s, but the brief exposed face of a man who had once trusted speed"
1"not the old operative’s, but the brief exposed face of a man who had once trusted speed"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences256
matches
0"seen that hand"
1"outlived that luxury"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs177
mean11.6
std14.5
cv1.25
sampleLengths
025
19
29
352
420
584
65
71
811
95
105
1122
123
134
145
1558
1625
1713
183
195
204
215
2233
234
244
256
268
2723
288
293
305
3155
328
333
345
355
3619
374
3865
397
401
412
423
435
4445
4531
465
473
487
499
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences161
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs229
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences256
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1425
adjectiveStacks0
stackExamples(empty)
adverbCount37
adverbRatio0.025964912280701753
lyAdverbCount6
lyAdverbRatio0.004210526315789474
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences256
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences256
mean8.02
std6.88
cv0.858
sampleLengths
025
19
29
38
47
513
624
77
813
910
1032
1130
1212
135
141
157
164
175
185
1911
2011
213
224
235
2410
2527
2621
274
282
294
306
319
3213
333
345
354
365
377
386
3917
403
414
424
436
448
4523
468
473
485
4913
47.92% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.30859375
totalSentences256
uniqueOpeners79
67.11% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences149
matches
0"Bright blue eyes met grey"
1"Instead the walls held their"
2"Too fast for a woman"
ratio0.02
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences149
matches
0"Her left wrist ached where"
1"She had a narrow face,"
2"Her coat looked expensive at"
3"It fell from it."
4"He left coins by his"
5"It never shook."
6"They looked like evidence."
7"She filled it and flicked"
8"It carried ash."
9"His face did not change,"
10"His bad leg held stiff"
11"He did not flinch."
12"Her hair had flown loose"
13"Her hands needed work."
14"Her mind sorted facts faster"
15"She drew out a small"
16"She placed it between them."
17"He looked almost bored."
18"He reached for the packet."
19"She had dusted it every"
ratio0.148
0.27% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount137
totalSentences149
matches
0"The bottle slipped from Aurora"
1"Silas Blackwood stopped polishing the"
2"The Raven’s Nest did not"
3"A fruit machine hiccuped in"
4"Someone laughed too loudly beneath"
5"The green neon sign above"
6"Aurora tightened her grip on"
7"Her left wrist ached where"
8"The stranger placed the bottle"
9"She had a narrow face,"
10"A long pale mark climbed"
11"Her coat looked expensive at"
12"Silas set down the glass."
13"The name did not leave"
14"It fell from it."
15"The woman smiled without softening."
16"A man at the end"
17"Silas’s hazel eyes cut towards"
18"Bernard looked from Silas to"
19"He left coins by his"
ratio0.919
33.56% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences149
matches
0"Now the ring clicked once"
ratio0.007
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
technicalSentenceCount3
matches
0"A long pale mark climbed from her collar into the hinge of her jaw, glossy and hard, as if someone had poured wax over a wound and called it healing."
1"The black-and-white photographs watched from their frames, blurred men on bridges, women in doorways, a boy with a suitcase staring past the camera as if he had…"
2"The third finger bent poorly, as if the bone remembered a different shape."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
88.1087%