Run: 2026-07-09-01KX401Y5WM6WBJ1TAYAFM5845

Run Details

Duration:
12.4s
Cost:
$0.012840
Provider:
OpenAI

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
Rain turned Soho into a smear of reflected light. Detective Harlow Quinn caught glimpses of the suspect between umbrellas and shoulders: a dark coat, narrow frame, one hand clamped around something pale. He moved fast without looking back, cutting through the midnight crowd with the confidence of someone who knew exactly where the gaps would open. Quinn knew the streets. Eighteen years of Metropolitan Police work had taught her their rhythms—the drunken stumble outside the clubs, the sudden flare of violence in a doorway, the taxis nosing through red lights. The suspect knew them too, but he was running as if the city belonged to him. “Stop!” Quinn shouted. A couple turned. The suspect didn’t. Her boots struck the pavement hard. Rain slicked her closely cropped salt-and-pepper hair to her scalp and ran cold beneath her collar. Her left wrist flashed as her arm drove forward, the worn leather watch dark with water. She was forty-one, too old to waste breath on theatrics and too experienced to believe a warning would end a chase. The suspect glanced back. His face was pale and young. His eyes caught the green neon of The Raven’s Nest and shone briefly, almost silver. Then he shoved a cyclist into her path. Quinn swerved. The cyclist shouted. A wheel skidded sideways, spraying dirty water across her trousers. By the time she regained her footing, the suspect had vanished beyond the mouth of the alley beside the bar. She followed. The alley stank of wet brick, beer, and rotting fruit. A metal door banged somewhere ahead. Quinn drew her service pistol, keeping it low, and slowed just enough to listen. Footsteps. Not fleeing now. Descending. She rounded the corner and found the suspect at the rear entrance of the Raven’s Nest, one hand pressed against a rusted iron gate. The green glow from the sign above the bar spilled over the bricks, turning his coat the color of old bruises. “Hands where I can see them.” He looked at her. This time she saw what he held: a small bone token, smooth and yellow-white, carved with a spiral that seemed to shift when the rain struck it. The suspect smiled. Then he thrust the token into the lock. The iron gate opened onto darkness. Quinn crossed the distance in three strides. Her fingers closed on the back of his coat, but the fabric tore beneath her grip. He slipped through the opening. A stairwell waited beyond, dropping steeply beneath the city. The gate slammed shut. She hit it with her shoulder. The metal shuddered but held. From below came the fading echo of footsteps and something else—a low, distant murmur, too deep to be voices and too rhythmic to be machinery. Quinn stepped back. The stairwell smelled of wet stone and chemicals. She had seen the suspect leave a body in a rented flat near Waterloo. A man with his throat opened from ear to ear, though the blood pattern suggested no blade. On the wall above him, someone had drawn a circle in black ash. The dead man had been a known fence, the kind who trafficked in stolen medicines and forged passports. The suspect had been seen leaving the building. That was enough for an arrest. It should have been enough. But three years ago, DS Morris had disappeared during an investigation beneath an abandoned rail depot. Quinn had found his radio, his bloodied watch, and a set of footprints that stopped in the middle of a concrete floor. No body. No explanation. The case had been buried beneath procedural language and official silence. Since then, Quinn had learned to distrust locked doors. She holstered her pistol and tried the gate again. The latch gave with a wet click. The stairwell plunged below street level, narrow steps shining with runoff. At the bottom, a tunnel opened into blackness. A blue-white bulb flickered somewhere far below, then died. Quinn took out her torch. The beam found a trail of footprints, darkened by rain. They led down. She descended. The city changed as she went. The traffic faded first, then the rain. The walls tightened around her, tiled in cracked white squares marked with old Underground symbols. The air grew warmer and stranger, thick with the smell of hot metal, incense, and something sweetly rotten. Halfway down, she found a strip of torn coat caught on a nail. Quinn pulled it free. The fabric was still warm. A sound rose through the stairwell. Laughter. Not the bright, careless laughter of people in a bar. This came in layered whispers, dozens of voices overlapping, some human and some not. Quinn’s hand went to her pistol again. At the bottom, the passage opened onto a derelict Tube platform. She stopped beneath a broken sign reading CAMDEN TOWN. The station had been abandoned for decades, but the platform beyond was crowded. Stalls stood beneath sagging canvas awnings. Lanterns burned in jars of green glass. A woman with antlers braided into her black hair haggled over a row of bottled shadows. A man with no visible mouth arranged silver teeth on velvet. Copper cages held small, furred things that stared at Quinn with damp, intelligent eyes. Enchanted goods glittered beneath tarpaulins. Bottles of amber liquid steamed without heat. Bundles of herbs hung beside knives that seemed to bend away from the light. A boy with gray skin and gold irises offered a tray of black coins to passing customers. The Veil Market. Quinn had heard the name once, three years ago, in Morris’s notebook. It had been written in the margin beside a question mark. She had thought it was a code. The suspect stood at the far end of the platform, surrounded by the market’s moving crowd. He looked back at her, the pale token still clenched in his fist. Then he ran. Quinn stepped onto the platform. Every conversation stopped. Faces turned toward her. Some were human. Most were not. A tall figure in a red veil lifted its head and sniffed. Somewhere behind Quinn, the tunnel mouth seemed to narrow, the darkness thickening like muscle. The suspect slipped between two stalls. Quinn followed. A vendor grabbed her sleeve. She tore free and kept moving. A bottle shattered near her boot, releasing a cloud of green vapor. It crawled along the ground, searching. Quinn held her breath and ran through it. The market bent strangely around her. A passage that had been twenty feet long stretched into a corridor of hanging charms. The lamps swung though there was no wind. Shadows moved in the wrong direction. At the edge of the platform, the suspect vaulted a barrier and disappeared through a maintenance door. Quinn reached it seconds later. The door stood ajar. Beyond it, a tunnel sloped into darkness. She could hear him breathing. “You’re under arrest,” she called. A laugh came from the tunnel. The sound was closer than it should have been. Quinn opened the door. Cold air struck her face. The tunnel beyond was lined with old posters, their paper rippling as if underwater. At the far end, the suspect stood beneath a dead signal lamp. He had stopped running. Quinn raised her weapon. “Turn around. Slowly.” He did. His face had changed. The skin around his eyes had gone black, and fine silver lines ran from his mouth to his jaw. The pale token rested against his palm like a piece of living bone. “You shouldn’t have followed,” he said. “People keep saying that.” “You don’t know where you are.” “I know I’m looking at a murder suspect.” The suspect’s smile widened. “That’s what you called the last one.” Something shifted in the darkness behind him. Quinn felt the old cold open inside her—the same cold she had felt in the depot when Morris’s radio crackled once and a voice answered from beneath the floor. She tightened her grip on the pistol. “What do you know about Morris?” The suspect’s expression lost its amusement. “Your partner came here,” he said. “He asked questions. He thought the law could follow anything.” “Where is he?” A train began to move somewhere below them. There were no rails in the tunnel, but the sound grew louder: steel screaming against steel, wind rushing through a sealed space. Dust lifted from the floor. The posters flapped violently. The suspect raised the bone token. “Go back upstairs.” “Drop it.” “You think this is a door.” His eyes fixed on hers. “It isn’t. It’s a mouth.” The tunnel behind Quinn filled with movement. The market had gone silent. She could feel the crowd gathering at the entrance, watching to see what she would do. Her training said arrest the suspect. Secure the evidence. Call for backup. Her instincts said the thing beneath the station had already noticed her. The train screamed louder. Quinn thought of Morris’s watch lying in an evidence bag, its hands stopped at 2:17. She thought of the blood on the concrete and the footprints that ended without turning. Then the suspect stepped backward into the dark. Quinn had one second to choose. She could retreat, seal the entrance, and bring in every unit available. She could let the suspect vanish into a world she did not understand. Or she could follow him into the mouth. The tunnel lights flashed on. For an instant, something enormous appeared behind the suspect—too many limbs, a crown of pale horns, a face made from shifting human features. Quinn fired. The shot cracked through the tunnel. The suspect jerked aside. The bullet struck the wall, and the thing behind him opened its mouth. Quinn ran forward as the darkness rushed to meet her.
created_at"2026-07-09T17:50:51.076Z" 7/9/2026, 5:50:51 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency368
moderation_latency(null)
generation_time11649
tokens_prompt914
tokens_completion2562
native_tokens_prompt810
native_tokens_completion2005
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"
usage0.01284
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0e1891897c787a3c016a4fdf7b248c8190a7789b79dfce138b"
is_byokfalse
latency201
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619451-nHlVMMITjonZJx8XMaUW"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619451-cMcbygCXlEk6G3h7eYj4"
upstream_id"resp_0e1891897c787a3c016a4fdf7b248c8190a7789b79dfce138b"
total_cost0.01284
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences17
tagDensity0.294
leniency0.588
rawRatio0
effectiveRatio0
93.81% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1615
totalAiIsmAdverbs2
found
0
adverb"sweetly"
count1
1
adverb"slowly"
count1
highlights
0"sweetly"
1"slowly"
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)
72.14% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1615
totalAiIsms9
found
0
word"footsteps"
count2
1
word"echo"
count1
2
word"rhythmic"
count1
3
word"silence"
count1
4
word"flickered"
count1
5
word"velvet"
count1
6
word"shattered"
count1
7
word"could feel"
count1
highlights
0"footsteps"
1"echo"
2"rhythmic"
3"silence"
4"flickered"
5"velvet"
6"shattered"
7"could feel"
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
narrationSentences169
matches(empty)
92.14% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount4
narrationSentences169
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences181
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1611
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
61.76% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1530
uniqueNames13
maxNameDensity1.76
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn27
Metropolitan1
Police1
Raven2
Nest2
Waterloo1
Morris4
Underground1
Tube1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Police"
3"Raven"
4"Morris"
5"Veil"
6"Market"
places
0"Soho"
1"Waterloo"
globalScore0.618
windowScore0.667
81.82% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences110
glossingSentenceCount3
matches
0"spiral that seemed to shift when the rain struck it"
1"knives that seemed to bend away from the light"
2"appeared behind the suspect—too many limbs, a crown of pale horns, a face made from shifting human features"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1611
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences181
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs104
mean15.49
std15.34
cv0.99
sampleLengths
09
147
250
33
46
559
64
721
88
935
102
1130
121
134
1445
156
164
1727
183
198
206
2137
224
2336
243
258
2670
276
285
2953
309
3116
3228
335
3413
352
3646
3713
389
396
401
4131
4211
439
4413
4554
4643
473
4823
497
94.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences169
matches
0"been seen"
1"been buried"
2"been abandoned"
3"been written"
4"was lined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs258
matches
0"was running"
79.72% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences181
ratio0.022
matches
0"Eighteen years of Metropolitan Police work had taught her their rhythms—the drunken stumble outside the clubs, the sudden flare of violence in a doorway, the taxis nosing through red lights."
1"From below came the fading echo of footsteps and something else—a low, distant murmur, too deep to be voices and too rhythmic to be machinery."
2"Quinn felt the old cold open inside her—the same cold she had felt in the depot when Morris’s radio crackled once and a voice answered from beneath the floor."
3"For an instant, something enormous appeared behind the suspect—too many limbs, a crown of pale horns, a face made from shifting human features."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1539
adjectiveStacks1
stackExamples
0"old cold open inside her—"
adverbCount43
adverbRatio0.02794022092267706
lyAdverbCount7
lyAdverbRatio0.004548408057179987
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences181
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences181
mean8.9
std6.05
cv0.68
sampleLengths
09
123
224
34
430
516
63
73
83
96
1016
1116
1221
134
146
1515
168
172
183
1910
2020
212
2210
236
2414
251
263
271
2824
2921
306
314
3227
333
348
356
367
3716
385
399
404
416
425
4325
443
458
4614
4717
4813
4918
46.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3259668508287293
totalSentences181
uniqueOpeners59
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences154
matches
0"Then he shoved a cyclist"
1"Then he thrust the token"
2"Then he ran."
3"Somewhere behind Quinn, the tunnel"
4"Then the suspect stepped backward"
ratio0.032
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences154
matches
0"He moved fast without looking"
1"Her boots struck the pavement"
2"Her left wrist flashed as"
3"She was forty-one, too old"
4"His face was pale and"
5"His eyes caught the green"
6"She rounded the corner and"
7"He looked at her."
8"Her fingers closed on the"
9"He slipped through the opening."
10"She hit it with her"
11"She had seen the suspect"
12"It should have been enough."
13"She holstered her pistol and"
14"They led down."
15"She stopped beneath a broken"
16"It had been written in"
17"She had thought it was"
18"He looked back at her,"
19"She tore free and kept"
ratio0.208
50.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount126
totalSentences154
matches
0"Detective Harlow Quinn caught glimpses"
1"He moved fast without looking"
2"Quinn knew the streets."
3"The suspect knew them too,"
4"A couple turned."
5"The suspect didn’t."
6"Her boots struck the pavement"
7"Rain slicked her closely cropped"
8"Her left wrist flashed as"
9"She was forty-one, too old"
10"The suspect glanced back."
11"His face was pale and"
12"His eyes caught the green"
13"The cyclist shouted."
14"A wheel skidded sideways, spraying"
15"The alley stank of wet"
16"A metal door banged somewhere"
17"Quinn drew her service pistol,"
18"She rounded the corner and"
19"The green glow from the"
ratio0.818
32.47% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences154
matches
0"By the time she regained"
ratio0.006
97.51% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences63
technicalSentenceCount4
matches
0"This time she saw what he held: a small bone token, smooth and yellow-white, carved with a spiral that seemed to shift when the rain struck it."
1"The dead man had been a known fence, the kind who trafficked in stolen medicines and forged passports."
2"Copper cages held small, furred things that stared at Quinn with damp, intelligent eyes."
3"The tunnel beyond was lined with old posters, their paper rippling as if underwater."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
91.18% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Quinn shouted (shout)"
dialogueSentences17
tagDensity0.235
leniency0.471
rawRatio0.25
effectiveRatio0.118
89.6305%