Run: 2026-09-23-01M36NMC2CSTRXN4ZCGV5QR6RQ

Run Details

Duration:
32.4s
Cost:
$0.001363
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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
Rain flattened the city into black glass. It slicked the pavements, ran in bright threads down shopfronts, and turned the traffic lights into smears of red and green. Detective Harlow Quinn kept her eyes on the man ahead. He had a narrow build and a grey coat that snapped behind him as he ran. One hand clutched a canvas satchel against his ribs. The other swung out for balance as he cut between a taxi and a delivery van, boots skidding over the painted lines. “Police! Stop!” He glanced back. The streetlamp caught a pale slash of his face, then he vanished into the next alley. Quinn reached the crossing as a bus groaned past, its tyres sending a sheet of water across her trousers. She didn’t wait for the signal. She ducked behind the bus, took two strides into the road, and jumped the gutter on the far side. A horn blared. Someone shouted. The grey coat flashed between two bins. Her left wrist struck the brick wall as she rounded the corner. The worn leather watch bit into her skin. She kept moving. The alley narrowed between a shuttered restaurant and a row of brick backs. Water dripped from fire escapes and rattled in a drainpipe. The suspect slipped on a patch of moss, caught himself on a metal door, and drove his shoulder into it. The door gave. Quinn reached it as it swung shut. A square of yellow light remained beneath the frame. She took her pistol from its holster and listened. A hiss of machinery. Footsteps descending. She pushed through. The stairs were steep and tiled, the sort that led to a basement kitchen or a cellar. A bulb buzzed overhead. At the landing, the suspect had left a smear of blood on the rail. Quinn touched it with her thumb, then raised her weapon and went down. “You’re bleeding,” she called. “That bag’s not worth your life.” His answer came from below, a burst of laughter swallowed by the stairwell. The steps ended at a narrow service corridor. Pipes crossed the ceiling. At the far end, a second door stood open on a room that smelled of wet stone, old dust and something sharp, like pennies left in vinegar. Beyond it, a vaulted space spread under the city. Quinn stopped at the threshold. The market filled an abandoned Tube station. Stalls crowded the platform where tracks had once run; canvas awnings and hanging lanterns hid the stained tiled walls. People moved between them in coats, masks and clothes Quinn couldn’t place in any decade. A woman with glassy silver eyes sold little bottles from a wooden tray. At the next stall, a man in a butcher’s apron displayed a row of teeth on velvet. No one looked surprised to see her. The suspect pushed through the crowd, shoulder-checking a stallholder. A stack of black boxes clattered to the ground. People cursed and scattered aside, but none reached for him. Quinn lowered her weapon enough to keep it from sweeping across the crowd, then stepped onto the platform. “Police! Clear the way!” A few people glanced at the badge clipped inside her coat. Most watched the suspect. He reached the opposite side of the station and vaulted over a low barrier. A narrow passage opened beyond it, framed in old white tile. He disappeared into the dark. Quinn took three quick steps after him. A hand caught her sleeve. “Don’t go down there with a gun.” The woman who held her wore a brown leather apron over a red dress. Her fingers were stained blue to the nails. She stood close enough that Quinn could smell smoke on her breath. “Let go.” “You want him, take him in the open. Down there, the market won’t hear your warrant.” “Who is he?” “Someone who bought something he couldn’t afford.” The woman released her. Quinn kept her eyes on the passage. “What’s in the satchel?” “That’s between him and the people he stole from.” Quinn turned the badge towards her. “Harlow Quinn, Metropolitan Police. Move.” The woman glanced at the badge, then at Quinn’s face. Her eyes settled on the sharp line of Quinn’s jaw. “Metropolitan Police don’t come down here.” “Tonight they do.” A laugh sounded from somewhere among the stalls. It held no humour. Quinn looked back. The crowd had closed around the disturbance. A boy gathered the fallen boxes. The stallholder whose goods had been knocked aside counted each one, lips moving. Beyond them, the entry stairs stood bare and bright. The way back remained open. Her radio clicked. “Quinn, status?” The voice broke under static. “We’ve got your last location. Do you have eyes on the suspect?” She pressed the transmit button. “Suspect entered an underground structure. I’m in pursuit.” The radio gave a thin pop, then silence. She tried again. Nothing. A man behind a stall tapped a tuning fork against a glass. The note ran through the chamber, clear and high. The radio spat another crackle. The woman in the apron tilted her head. “It won’t work here.” Quinn stared at the passage. The suspect had bloodied his hand on the rail, but he had not slowed. The satchel might hold a weapon. It might hold stolen property. It might hold nothing but leverage. She had no warrant that would mean anything to the people beneath Camden, no backup, and no knowledge of what waited past the tiled arch. The case had already put one partner in the ground. The thought arrived without warning, hard as a fist. Quinn’s jaw tightened. She saw Morris’s shoulder against a wet wall, his hand lifted to tell her to stay back. Then the memory broke apart, leaving only the sting of rain on her face and the watch digging into her wrist. She thumbed the strap once, then holstered her pistol. The woman’s brows rose. “You’re going after him unarmed?” “I’m going after him with my hands free.” “Those aren’t the same thing.” “No.” Quinn stepped over the barrier. The passage smelled of damp earth. Tile gave way to rough brick, then to old concrete. A string of amber lamps ran along the ceiling, spaced far apart. Their light exposed fresh bootprints in the dust and a thin trail of blood. She followed. At the first bend, she found a paper charm stuck to the wall. Its ink had bled in the wet, the strokes forming a knot of black lines. Quinn reached towards it, then stopped. A low hum pressed against her teeth. She stepped around the paper. “Detective.” Tomás Herrera stood at the next junction, half-hidden behind a stack of crates. Short curls clung to his forehead. A Saint Christopher medallion rested against his shirt, its chain dark with rain. He wore a medic’s bag across one shoulder. A pale scar tracked his left forearm. “What are you doing here?” Quinn asked. “Making sure no one dies on the floor.” “Are you working for the suspect?” “I’m working for whoever gets cut open.” He glanced at the blood on the wall. “He went left.” Quinn studied him. “You know him?” “I know the coat. Not the man.” “Then you won’t mind coming back with me.” “I’ve got a patient.” “You’re not a licensed paramedic.” “Still got hands.” A metallic bang rang out from the left-hand tunnel. Quinn turned towards it. Herrera took one step into her path. “That corridor leads into a warding line.” “Move.” “You cross it carrying iron, and every door down there shuts.” She looked at his hands. The right held a pair of scissors. The left held a roll of gauze. Neither looked capable of stopping her. “Does it shut on him too?” “He knows where it is.” A second bang came from the tunnel, then the scrape of something dragged across stone. Quinn could hear the suspect breathing beyond the bend. She pushed past Herrera. He caught her elbow. She twisted free and pinned his wrist against the wall. “Touch me again and I’ll put you on the ground.” His gaze held steady. “You won’t have time to get him if you walk into that line.” The corridor behind him remained dark. Ahead, the amber lamps flickered once. The trail of blood crossed the floor and vanished beneath an iron grille set into the brick. Quinn lowered her voice. “Tell me what the line does.” “It marks the boundary of the market. Beyond it, the owners decide who passes.” “Owners.” “People with more patience than you.” A figure moved in the shadows behind him. Quinn shifted her weight, ready to draw, but the shape did not come closer. Herrera followed her gaze. “Market watchers,” he said. “They don’t care about your badge.” “They care about the man I’m chasing?” “They care about what he took.” “What did he take?” Herrera’s mouth tightened. “A bone token.” The word meant nothing to Quinn. “A key?” “A way in. A way out.” “Why would he steal one?” “Because he wanted to leave.” The suspect struck the grille from the other side. The iron rang. A breathless curse followed. Quinn looked from the tunnel to the market junction behind her. She could retreat to the station platform, find the woman with the apron, and demand answers from someone on her own ground. Or she could cross into the passage, where her radio had failed and the people waiting in the dark had already decided she didn’t belong. She flexed her left hand. Rainwater dripped from her coat cuff. The leather watch pressed against the bones of her wrist. “Is there another way through?” she asked. Herrera pointed to a narrow stair behind the crates. “It comes out past the grille.” “Then take me there.” “That’s not what I said.” Quinn stepped towards the stair. “You can come with me or stay out of my way.” Herrera slung the medic’s bag higher on his shoulder. “I’m coming. If he’s bleeding, I want to see where.” “Stay behind me.” “You’ll need to keep up.” He took the stairs two at a time. Quinn followed, leaving the warding line and the dead radio behind. The concrete steps climbed through a passage so narrow her shoulders brushed both walls. At the top, Herrera paused beside a wooden hatch and listened. From beyond it came a sharp scrape, then a muffled thud. “Was that him?” Quinn whispered. “Unless the market started moving furniture.” She raised one hand for silence. The hatch had no handle, only a circle of shallow cuts around its centre. She tested the edge. It did not move. Herrera reached into his shirt and drew out the medallion. He pressed it against the cuts. The wood gave a small click. Quinn looked at the pendant, then at him. “Don’t make a thing of it.” “Wasn’t planning to.” He pushed the hatch open. A cold draft swept down the stairwell. Beyond lay another corridor, tiled in the green and cream pattern of an old station. At the far end, a figure stumbled into view with the canvas satchel clutched beneath one arm. The suspect stopped when he saw Quinn. She moved into the corridor, hands spread, blocking the stairwell behind her. “Drop the bag.” His eyes flicked to Herrera, then back to Quinn. Blood ran from his knuckles and darkened the satchel’s strap. “Not a chance.” “Then put it down and tell me what’s inside.” “You don’t want to know.” “I’ve heard that before.” The suspect edged towards a doorway on his left. Quinn matched him step for step, keeping the space between them narrow. “Take another step and I’ll—” “Don’t finish that sentence,” she said. “You’re out of street, out of exits and out of time.” Behind her, Herrera’s bag buckle clicked as he opened it. The suspect tightened his grip on the satchel. His back pressed to the tiled wall. Quinn planted her boots on the damp floor and kept both hands where he could see them.
created_at"2026-09-23T08:20:35.028Z" 9/23/2026, 8:20:35 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1726
moderation_latency(null)
generation_time32356
tokens_prompt1104
tokens_completion3057
native_tokens_prompt984
native_tokens_completion2529
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
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"
service_tier"default"
usage0.0013629
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790151635-lRg3jWr3M6ph3NvMGpZi"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790151635-8gNU7LysQJMg2L8Y78xy"
upstream_id"resp_0cfa8e20f476966c016ab38bd324f887d18b813572edd8c486"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0cfa8e20f476966c016ab38bd324f887d18b813572edd8c486"
is_byokfalse
latency477
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0013629
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences75
tagDensity0.107
leniency0.213
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1995
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
77.44% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1995
totalAiIsms9
found
0
word"footsteps"
count1
1
word"velvet"
count1
2
word"structure"
count1
3
word"silence"
count2
4
word"charm"
count1
5
word"flickered"
count1
6
word"weight"
count1
7
word"flicked"
count1
highlights
0"footsteps"
1"velvet"
2"structure"
3"silence"
4"charm"
5"flickered"
6"weight"
7"flicked"
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
emotionTells1
narrationSentences178
matches
0"looked surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences178
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences245
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1995
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions51
wordCount1577
uniqueNames8
maxNameDensity2.16
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn34
Tube1
Camden1
Morris1
Herrera11
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Herrera"
4"Saint"
5"Christopher"
places(empty)
globalScore0.422
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences125
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1995
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences245
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs131
mean15.23
std14.79
cv0.971
sampleLengths
028
110
247
32
419
556
623
743
83
925
106
113
1248
1310
1413
1548
165
1771
187
1928
2018
214
2215
2330
2412
257
2634
272
2816
293
307
3111
324
339
3411
3520
366
373
3812
3943
403
4119
4213
438
444
4526
4612
4761
4810
4950
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences178
matches
0"been knocked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs273
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences245
ratio0.004
matches
0"Stalls crowded the platform where tracks had once run; canvas awnings and hanging lanterns hid the stained tiled walls."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1580
adjectiveStacks0
stackExamples(empty)
adverbCount34
adverbRatio0.021518987341772152
lyAdverbCount2
lyAdverbRatio0.0012658227848101266
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences245
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences245
mean8.14
std4.86
cv0.597
sampleLengths
07
121
210
316
49
522
62
73
816
919
106
1119
123
132
147
1512
168
173
1813
1910
2020
213
227
239
249
254
262
273
2817
294
3014
3113
324
336
3413
358
364
3727
389
395
407
4119
4215
4313
4417
457
469
479
4810
4918
45.10% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.2857142857142857
totalSentences245
uniqueOpeners70
19.84% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences168
matches
0"Then the memory broke apart,"
ratio0.006
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount45
totalSentences168
matches
0"It slicked the pavements, ran"
1"He had a narrow build"
2"He glanced back."
3"She didn’t wait for the"
4"She ducked behind the bus,"
5"Her left wrist struck the"
6"She kept moving."
7"She took her pistol from"
8"She pushed through."
9"His answer came from below,"
10"He reached the opposite side"
11"He disappeared into the dark."
12"Her fingers were stained blue"
13"She stood close enough that"
14"Her eyes settled on the"
15"It held no humour."
16"Her radio clicked."
17"She pressed the transmit button."
18"She tried again."
19"It might hold stolen property."
ratio0.268
16.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount149
totalSentences168
matches
0"Rain flattened the city into"
1"It slicked the pavements, ran"
2"Detective Harlow Quinn kept her"
3"He had a narrow build"
4"The other swung out for"
5"He glanced back."
6"The streetlamp caught a pale"
7"Quinn reached the crossing as"
8"She didn’t wait for the"
9"She ducked behind the bus,"
10"A horn blared."
11"The grey coat flashed between"
12"Her left wrist struck the"
13"The worn leather watch bit"
14"She kept moving."
15"The alley narrowed between a"
16"Water dripped from fire escapes"
17"The suspect slipped on a"
18"The door gave."
19"Quinn reached it as it"
ratio0.887
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences168
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences66
technicalSentenceCount2
matches
0"At the far end, a second door stood open on a room that smelled of wet stone, old dust and something sharp, like pennies left in vinegar."
1"The woman who held her wore a brown leather apron over a red dress."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"Quinn whispered (whisper)"
dialogueSentences75
tagDensity0.08
leniency0.16
rawRatio0.167
effectiveRatio0.027
86.4089%