Run: 2026-03-06-01KK1HR65DHZ8R2M97MKHKK55D

Run Details

Duration:
1m 20s
Cost:
$0.044659
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 the glass smashed behind her. Not from fright. From the voice that came with it. “Rory Carter, if that’s you, I’ll sue the saints.” She turned too fast. Beer sloshed over her knuckles, cold and bitter, and the room seemed to tilt around the green wash from the neon outside. The Raven’s Nest never looked clean, not with its nicotine shadows and its old maps puckering on the walls, but it held itself together with a sort of stubborn dignity, like an ageing boxer who still shaved before a fight. Men at the bar glanced up. A woman in a red wool coat laughed at something in the corner. Somewhere near the jukebox, someone fed coins into a machine that had not played a decent song in twenty years. And there, one hand still lifted from the broken pint at his feet, stood Daniel Vaughan. He had grown into his face and out of his old softness. University Daniel had carried puppy fat and loud opinions and a fringe he kept shoving off his forehead as if he had been born to make declarations. This man wore a dark coat that fit him too well, his hair clipped close at the sides, his jaw sharpened by discipline or damage. A pale seam cut through one eyebrow. He still had the same brown eyes. That was the worst part. They gave him away at once. Aurora set the tray on the nearest table before she trusted her hands. “Christ.” His grin flashed, then checked itself, as though it had remembered something about the world. “That bad?” “What are you doing here?” “Lovely to see you too.” He stooped for the larger shard of glass. Aurora caught his wrist before he could slice his hand open. Her fingers pressed the pulse there. Alive. Warm. Real. “Leave it.” He looked down at her hand, then at her face. “You still go straight for the order, don’t you?” “And you still bleed for attention.” “Only in charming places.” She let go. A barback hurried over with a brush and pan. Aurora took the untouched pint from the tray and shoved it into Daniel’s hand. “That one’s yours now. You owe us for the floor.” He raised the glass in a mock toast. “Still Cardiff law school’s finest.” “Didn’t finish.” “I heard.” Of course he had. News travelled strangely when you wanted it dead. Silas looked up from the far end of the bar, polishing a glass that was already dry. His hazel eyes moved from Aurora to Daniel and stayed there one beat too long. He never interrupted at once. He made people show their shape first. “A friend?” “Old damage,” Aurora said. Daniel gave Silas a courteous nod. “Daniel Vaughan.” “Silas Blackwood.” The silver signet ring on Silas’ right hand clicked against the bar top once. His slight limp showed when he shifted his weight, nothing dramatic, just enough to remind anyone observant that pain had taken a room in his body and paid no rent. “If he breaks anything else,” Silas said, “charge him double.” “Already on it,” Aurora said. Silas moved off, though not far. He had the discreet patience of a man who had made a career out of hearing what people hid inside ordinary words. Daniel watched him go. “You collect interesting landlords.” “He’s not my landlord.” “No?” “He owns the bar. I live upstairs.” That landed. She saw it in the brief pause, the quick recalculation. “You work here?” “I work a few places. London likes rent. Sit down or don’t, but stop standing there like a ghost in a funeral suit.” He laughed at that, low and surprised, and followed her to a small table under an old photograph of Soho that looked both glamorous and diseased. The bulb above them hummed. The wood stuck faintly under her forearms from years of spilled drink and bad confessions. For a moment they simply looked. He said, “You cut your hair.” “You got stitched.” He touched the scar in his eyebrow. “Occupational hazard.” “Occupational?” “Consulting.” “That can mean anything.” “That’s why people say it.” Aurora folded her arms. The crescent scar on her left wrist flashed pale against the dimness. “You vanished.” “You left first.” “Not from the planet, Dan.” “Felt like it.” There it was, quick as a blade. Not anger, not yet. The old ease had always come with edges. At nineteen, they had sharpened each other for sport. In lecture halls, in student kitchens, on the smoke-stained steps outside the library, they had talked as if words could build a better life than the one waiting for them. Daniel had wanted politics, then journalism, then revolution if the forms were too long. Aurora had wanted no part of her father’s plan and every part of escape, though she had not known what shape escape ought to take. He had once kissed her in a stairwell after a protest that achieved nothing. She had laughed into his mouth from sheer nerves. They never mentioned it after. That was their style then, all appetite and refusal, truth with the embarrassing pieces cut out. Daniel took a drink. “I looked for you, you know.” “In London?” “In Cardiff first. Then online.” “You were dreadful at looking, then.” “I found an article with your name on the moot court results.” “Years old.” “It was something.” She leaned back. “You could have called Eva.” His gaze sharpened. “I did.” Aurora blinked. “She told me you were safe. Then she said if I cared about that, I should leave it there.” Eva. Fierce, loyal Eva, who had packed Rory into a train with two bags and a phone charger after Evan had left bruises where sleeves could hide them. Eva, who did not believe in half-measures where men were concerned. Aurora rubbed her thumb over the scar on her wrist. “That sounds like her.” “It did at the time.” “You listened?” His smile thinned. “No. I obeyed. Different thing.” A couple near the bar began arguing in whispers sharp enough to cut paper. Glass clinked. The jukebox changed songs with a sick little cough. Aurora had spent enough nights in the Nest to know when a room was merely noisy and when it was listening. This room was not listening yet. Good. “What happened to you?” she asked. “Since second year torts?” “Since you looked like a man who got enough sleep to lecture strangers.” “I had a phase.” “So did milk.” That got him again. He looked down into his glass as if the beer might contain a decent answer. “I went abroad for work.” “You hated airports.” “I learned to hate richer things.” “What work?” “The sort with dull names and ugly consequences.” Aurora let the silence hold. People filled silence too quickly when they feared what it made visible. He drummed two fingers on the glass, then stopped, as though he had caught himself giving something away. “And you?” he said. “You fled the law, moved above a Soho bar, and started carrying pints with the expression of a disappointed headmistress.” “I also deliver dumplings.” He laughed. “Of course you do.” “For Golden Empress. Best roast duck in three postcodes.” “You always had ambition.” “It pays less than ideology.” “That line sounds practised.” “So does consulting.” Their eyes met. The years between them did not vanish. They crowded in closer. He said, “I heard about Evan.” Only her face stayed still. Her body went hard at once, a fine cold wire pulled through muscle. “From who?” “Eva.” “Eva tells everyone now?” “Not everyone.” He set the glass down carefully. “She told me because I asked why you left without a word, and she told me because she was angry, and because I think she wanted someone else to carry a piece of it.” Aurora kept her voice level. “You don’t get to look guilty for things you didn’t do.” “Don’t I?” “No.” He nodded once, accepting the blow because he had aimed it at himself first. “I should have noticed.” “We were twenty.” “I still should have noticed.” “You noticed everything. That was half your charm.” “And still not that.” She looked away then, towards the back shelves where hardbacks hid the door to Silas’ secret room. Most people saw old books and dust. Once you knew where to look, the seam ruined the trick. That felt apt. “People see what fits,” she said. “And what didn’t fit?” “You want the honest answer?” “I came into a bar in Soho after years. I think I can survive honesty.” “You liked him.” Daniel blinked. “Evan?” “You liked that he wore confidence like a tailored suit. You liked that he spoke to tutors as if he owned the land under the building. You thought he was good for me because he was decisive.” Daniel’s jaw tightened. “You remember all that.” “I remember everything useful.” “And I was useful?” “You were a witness.” The words sat between them. Not cruel, just exact. A server squeezed past with a crate of spirits. The room shifted, opened, closed. Aurora could smell lemon rind, stale ale, old wood warmed by too many hands. Daniel sat with one shoulder angled towards the door. He had not done that in Cardiff. In Cardiff he had sprawled, occupied, reached for space because he assumed space would welcome him. Now he measured exits without seeming to move. She saw him notice her noticing. “There it is,” she said. “What?” “The change.” “You expected a more dramatic reveal?” “I expected less control.” “Control’s cheaper than repair.” “That bad?” He gave a short laugh with no humour in it. “You ask like you’ve had a gentle decade.” “No. I ask like I know what bad looks like.” A small apology passed through his face and was gone. “Fair.” She drank from the water glass she had stolen off another table. The water tasted faintly of metal. “Why tonight?” He looked around the Nest, at the maps, the framed photographs, the bottles standing to attention behind the bar. “I had a meeting nearby.” “With consultants?” “With someone who likes bars that look too shabby to be important.” Aurora glanced at Silas by instinct. He was speaking to a regular, but his eyes cut over at once and then away. “Who sent you?” “No one sent me to you.” “That wasn’t my question.” “Still sharp.” “Still alive.” Daniel leaned back. The chair complained under him. “You live with dangerous men now?” “I live above one. There’s a difference.” “And that comforts you?” “It should worry you more than it worries me.” He studied her then, properly, as though the first look had been nostalgia and this one was inventory. “You are different.” “Everyone says that when they want to mourn a version they preferred.” “Harsh.” “Lazy, if I let you get away with it.” “I didn’t mean it like that.” “How did you mean it?” He opened his mouth, then closed it. Good. Let him work. “You used to fill a room,” he said at last. “Not loudly. More like, I don’t know, there was always a second line under whatever you said, and I spent half my time waiting for it. Now you don’t give the room that chance. You decide what it gets.” Aurora looked at him for a long moment. “That’s not the worst reading.” “No.” He turned his glass by the rim. “I don’t know if I’m apologising to who you were or introducing myself to who you are.” “You’re late for both.” “Story of my life.” “That was always your problem. You thought life would wait while you became the sort of man who deserved it.” He looked as if she had struck him, not because the line was cruel, but because it had found the old crack. “And you?” he asked softly. “What did you think?” “That leaving counted as becoming.” “Did it?” She gave a small shrug. “It counted as not dying there. Ambition can come second.” He looked down at her left wrist. At the crescent scar from childhood, pale and innocent beside injuries that did not show. “I’m glad you left.” “I know.” “No, Rory. I am. Even if I hate the part where I lost you.” Her throat tightened, annoying and unhelpful. She reached for sarcasm and found none within easy reach. “You talk better now.” “I had practice with things I should have said sooner.” “Dangerous skill.” “It cost enough.” Before she could answer, the front door opened and two men came in with the special kind of stillness that made noise around them feel staged. No city rain on coats, no pub looseness, no wandering glance. Both wore dark jackets. One had a boxer’s broken nose. The other carried a narrow leather case and scanned the room with the focus of a man counting bodies before he counted exits. Daniel saw them and went white beneath the tan. Aurora’s skin prickled. “Friends of yours?” His gaze stayed on the door. “No.” “Debts?” “Worse.” Silas had already set down his glass. He moved from behind the bar with that slight limp, quiet as a blade leaving velvet. The broken-nosed man pointed straight at Daniel. “There you are.” Daniel stood so fast his chair skidded back. Aurora rose with him. “Sit down,” he said, low. “Absolutely not.” The man with the leather case smiled without warmth. “Mr Vaughan, you’ve caused a mess. We’re here to tidy it.” Silas stopped beside their table. “Not on my floor.” The broken-nosed man’s hand slipped inside his jacket. Then the bookshelf at the back of the bar clicked open.
created_at"2026-03-06T12:25:24.415Z" 3/6/2026, 12:25:24 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency539
moderation_latency(null)
generation_time79842
tokens_prompt4618
tokens_completion3824
native_tokens_prompt4131
native_tokens_completion2884
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"
usage0.0446595
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_08f941e804e363460169aac7b47c4881968ee99b4a598949e8"
is_byokfalse
latency165
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-1772799924-tHGoYS7haRDum535WsxH"
upstream_id"resp_08f941e804e363460169aac7b47c4881968ee99b4a598949e8"
total_cost0.0446595
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
totalTags14
adverbTagCount2
adverbTags
0"She looked away [away]"
1"he asked softly [softly]"
dialogueSentences152
tagDensity0.092
leniency0.184
rawRatio0.143
effectiveRatio0.026
93.42% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2278
totalAiIsmAdverbs3
found
0
adverb"quickly"
count1
1
adverb"carefully"
count1
2
adverb"softly"
count1
highlights
0"quickly"
1"carefully"
2"softly"
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)
73.66% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2278
totalAiIsms12
found
0
word"eyebrow"
count2
1
word"pulse"
count1
2
word"weight"
count1
3
word"silence"
count2
4
word"charm"
count1
5
word"measured"
count1
6
word"scanned"
count1
7
word"velvet"
count1
8
word"absolutely"
count1
9
word"warmth"
count1
highlights
0"eyebrow"
1"pulse"
2"weight"
3"silence"
4"charm"
5"measured"
6"scanned"
7"velvet"
8"absolutely"
9"warmth"
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
narrationSentences157
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences157
filterMatches
0"notice"
1"feel"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences296
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2278
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions25
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions54
wordCount1428
uniqueNames11
maxNameDensity1.33
worstName"Aurora"
maxWindowNameDensity2.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest3
Daniel15
Vaughan1
Aurora19
Silas7
Soho1
Eva3
Rory1
Evan1
Cardiff2
persons
0"Raven"
1"Daniel"
2"Vaughan"
3"Aurora"
4"Silas"
5"Eva"
6"Rory"
7"Evan"
places
0"Nest"
1"Soho"
2"Cardiff"
globalScore0.835
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences99
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.439
wordCount2278
matches
0"not with its nicotine shadows and its old maps puckering on the walls, but it held itself together with a sort of stubborn dignity, lik"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences296
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs215
mean10.6
std15.23
cv1.438
sampleLengths
011
110
29
3105
416
589
613
71
815
92
105
115
1228
132
1410
159
166
174
1826
1910
208
215
222
232
2412
2544
262
274
286
292
302
3144
3210
335
3428
354
364
374
381
397
4012
413
4223
4346
446
456
463
477
482
491
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences157
matches
0"were concerned"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs243
matches
0"was listening"
1"was not listening"
2"was speaking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences296
ratio0
matches(empty)
98.42% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount909
adjectiveStacks0
stackExamples(empty)
adverbCount38
adverbRatio0.041804180418041806
lyAdverbCount4
lyAdverbRatio0.0044004400440044
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences296
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences296
mean7.7
std6.83
cv0.887
sampleLengths
011
13
27
39
44
522
640
76
813
920
1016
1112
1227
1325
147
157
165
176
1813
191
2015
212
225
235
248
2511
266
271
281
291
302
3110
329
336
344
353
369
3714
3810
398
405
412
422
434
448
4517
4615
475
487
492
45.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.28378378378378377
totalSentences296
uniqueOpeners84
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences137
matches
0"Somewhere near the jukebox, someone"
1"Of course he had."
2"Only her face stayed still."
3"Once you knew where to"
4"Then the bookshelf at the"
ratio0.036
71.09% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount51
totalSentences137
matches
0"She turned too fast."
1"He had grown into his"
2"He still had the same"
3"They gave him away at"
4"His grin flashed, then checked"
5"He stooped for the larger"
6"Her fingers pressed the pulse"
7"He looked down at her"
8"She let go."
9"He raised the glass in"
10"His hazel eyes moved from"
11"He never interrupted at once."
12"He made people show their"
13"His slight limp showed when"
14"He had the discreet patience"
15"She saw it in the"
16"He laughed at that, low"
17"He touched the scar in"
18"He had once kissed her"
19"She had laughed into his"
ratio0.372
43.94% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount114
totalSentences137
matches
0"Aurora nearly dropped the tray"
1"She turned too fast."
2"Beer sloshed over her knuckles,"
3"The Raven’s Nest never looked"
4"Men at the bar glanced"
5"A woman in a red"
6"He had grown into his"
7"University Daniel had carried puppy"
8"This man wore a dark"
9"A pale seam cut through"
10"He still had the same"
11"That was the worst part."
12"They gave him away at"
13"Aurora set the tray on"
14"His grin flashed, then checked"
15"He stooped for the larger"
16"Aurora caught his wrist before"
17"Her fingers pressed the pulse"
18"He looked down at her"
19"She let go."
ratio0.832
72.99% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences137
matches
0"Now he measured exits without"
1"Before she could answer, the"
ratio0.015
37.04% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount8
matches
0"University Daniel had carried puppy fat and loud opinions and a fringe he kept shoving off his forehead as if he had been born to make declarations."
1"Silas looked up from the far end of the bar, polishing a glass that was already dry."
2"He had the discreet patience of a man who had made a career out of hearing what people hid inside ordinary words."
3"He laughed at that, low and surprised, and followed her to a small table under an old photograph of Soho that looked both glamorous and diseased."
4"In lecture halls, in student kitchens, on the smoke-stained steps outside the library, they had talked as if words could build a better life than the one waitin…"
5"Eva, who did not believe in half-measures where men were concerned."
6"At the crescent scar from childhood, pale and innocent beside injuries that did not show."
7"Before she could answer, the front door opened and two men came in with the special kind of stillness that made noise around them feel staged."
89.29% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount1
matches
0"he said, low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount0
fancyTags(empty)
dialogueSentences152
tagDensity0.079
leniency0.158
rawRatio0
effectiveRatio0
90.3043%