Run: 2026-09-01-01M1EP99NNAMJSWS2AYV347VSW

Run Details

Duration:
1m 31s
Cost:
$0.022888
Provider:
xAI

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 sheeted off the green neon of The Raven's Nest and turned the Soho pavement into a slick of fractured light. Detective Harlow Quinn kept her stride even, boots finding purchase where lesser feet would have slipped. Eighteen years on the job had taught her that panic wasted breath. She had spotted Herrera leaving the bar three minutes earlier, collar up, Saint Christopher medallion flashing once under a streetlamp before he vanished into the downpour. She had given him a block. Then he had looked back. He knew. Now he ran. Quinn cut the corner onto Greek Street and the city opened around her in wet concrete and the hiss of tyres. Herrera was already thirty metres ahead, a dark shape weaving between late drinkers huddled under awnings. Short, curly hair plastered to his skull. Olive skin gone sallow under the sodium lights. She had his file memorised: Tomás Herrera, twenty-nine, former NHS paramedic, licence stripped after unauthorised treatments. The clique’s pet medic. Off the books. Untouchable until tonight. “Police!” Her voice carried, flat and hard. “Herrera, stop!” He did not stop. He never even slowed. A delivery van growled past, throwing a curtain of filthy water across her path. She wiped her face with the back of her wrist, felt the worn leather of her watch strap against her skin, and lengthened her stride. Military precision. Keep the cadence. Let the lungs work. DS Morris used to say she ran like she was still in the regiment. Morris was three years dead and the circumstances still sat in her gut like undigested iron. Herrera ducked left into an alley that stank of piss and rotting vegetables. Quinn followed, shoulder clipping brick, rain funneling down between the buildings in a narrow, roaring channel. Her cropped salt-and-pepper hair was already soaked through. She ignored it. Ahead, Herrera vaulted a stack of sodden cardboard and vanished around a dog-leg. She took the same jump, landed clean, and saw him scramble over a low wall into the next street. Shaftesbury Avenue. Traffic. Horns. The wet slap of her boots on tarmac as she burst into the open. Herrera was already across, heading north, using a knot of tourists as cover. She weaved through them, badge out now, shouting “Met Police, move!” Faces turned, startled, then forgot her as soon as she passed. London at night had seen worse. He was fast for a man who spent his days patching up other people’s mistakes. The scar along his left forearm—knife work, according to the file—caught the light as he pumped his arms. Quinn closed the gap by half a dozen metres, then lost it again when he cut down a side street toward the Tottenham Court Road. Rain hammered her shoulders. Her lungs burned in a clean, familiar way. She had chased men through worse weather. She had never chased one toward something she could not name. Camden. He was making for Camden. The realisation settled in her chest like a cold stone. The Veil Market. Rumours had filtered through the station for months: an underground bazaar that sold things no licence covered, things that moved with the moon. She had dismissed most of it as drunk talk until Morris died. Until the autopsy that made no sense. Until the unexplained. Herrera glanced back again. Warm brown eyes, wide now, not with fear exactly but with calculation. He knew the streets. He knew she did not know where he was going, not really. He put on a burst and vanished down the steps of an Underground station that should have been locked at this hour. Quinn hit the stairs three at a time. Water sheeted down the concrete. The ticket hall was dark, shutters down, but a service door hung open, the lock freshly broken. She drew her baton. No firearm. Not on this call. Not yet. The air changed as she descended, growing colder, carrying a mineral tang that did not belong to the Tube. Old brick. Older dust. The faint copper smell of something that had bled a long time ago. The abandoned station beneath Camden. She had read the survey reports years back, when they sealed it. Now the seals were gone. A narrow corridor opened onto a platform that had not seen passengers in decades. Emergency lighting flickered in sick yellow pulses. Herrera was already at the far end, speaking low to a figure in a long coat who stood beside a rusted barrier. Quinn could not hear the words. She saw the exchange: Herrera pressing something small and pale into the figure’s gloved hand. A token. Bone, by the look of it. The barrier swung inward on silent hinges. The Veil Market. Quinn stopped at the edge of the platform, rainwater dripping from her coat onto tiles that had not been mopped in a generation. Maps and black-and-white photographs lined the walls of the Nest; down here the walls were bare brick and old advertising posters bleached to ghosts. Voices drifted up from the darkness beyond the barrier. Not English, not entirely. A low hum of commerce that did not belong in any city she knew. Herrera disappeared through the gap. She could still turn around. Call it in. Wait for backup that would take twenty minutes and arrive with questions she could not answer. Morris had gone through a door like this one. Morris had not come back. The file on his death sat in a drawer with a red stamp and no satisfactory conclusion. Supernatural origins, the whispers said. She had never believed in whispers. She believed in evidence. In pursuit. In finishing what she started. Her watch read 01:14. The leather was dark with rain. She flexed her fingers around the baton, felt the familiar weight, the military snap of her own posture even here, even now. Forty-one years old, eighteen of them decorated, and still she stood on a platform that should not exist, staring at a market that sold enchanted goods and banned alchemical substances and information that could get a detective killed. The figure in the long coat had not closed the barrier. It waited, head tilted, as if it already knew she would come. Quinn thought of Herrera’s medallion, the saint who protected travellers. She thought of the clique and the criminal activity she had spent six months mapping in notebooks no one else was allowed to read. She thought of Morris’s empty desk and the way the unexplained had started to feel like a second city growing beneath the first. She stepped forward. The air beyond the barrier was warmer, thick with incense and something sharper, like ozone after a strike. Stalls unfolded in the gloom of the old tunnels, lit by lanterns that burned without smoke. Goods she could not name sat under glass. A woman with too many joints in her fingers weighed a powder that shifted colour as it settled. Somewhere deeper, a bell rang once, low and final. Herrera was twenty metres ahead, moving with the ease of a man who belonged. He did not look back this time. He did not need to. He had led her here on purpose, or he had simply run to the only place he thought she would not follow. Quinn kept her baton low and her eyes moving. Tight third-person was how she lived: her own breath, her own pulse, the concrete details that would later become a statement. Wet coat. Salt-and-pepper hair dripping onto her collar. Sharp jaw set. Brown eyes tracking every exit, every shadow that might become a threat. The market smelled of wet stone and old blood and money that had never seen a bank. A vendor glanced at her, then at the empty space where a bone token should have been. The glance lingered. Quinn met it without blinking. She had no token. She had a warrant card and a decision already made. “Herrera.” Her voice cut the hum. Heads turned. “You’re not walking away from this.” He stopped. Turned. The medallion rested against his throat, catching lantern light. Rain still gleamed on his curly hair. The scar on his forearm looked paler down here, as if the market itself bleached old wounds. For a moment the former paramedic showed through the runner: tired, precise, a man who had once saved lives by breaking rules. “You shouldn’t have come down, Detective.” His accent still carried Seville in the vowels, even after London had worn the edges. “This place doesn’t care about your eighteen years.” “Neither did the thing that took Morris.” She closed the distance by two steps, no more. “You know something about that. The clique knows. That’s why you ran.” A ripple moved through the nearest stalls. Conversations died. The woman with too many joints set down her powder. Quinn felt the weight of unfamiliar eyes, the sense that she had stepped across a line that did not appear on any Metropolitan map. Dangerous territory. Unfamiliar. Potentially fatal. She had decided anyway. Herrera’s mouth tightened. He glanced toward a deeper tunnel, then back at her. Calculation again. Not fear. Not yet. “You want answers,” he said. “You’ll get them. But not up there. Not in the rain. Down here the truth costs more than a badge.” Quinn did not lower the baton. Water still traced cold lines down her spine. She thought of the Nest’s hidden room behind the bookshelf, of meetings she had never been able to prove. She thought of the full moon and the way this market moved, a rumour with legs. She thought of Morris and the night he had gone through a door and not returned. “Then start talking,” she said. “Or I take you out of here in cuffs and we do this in an interview room that actually exists.” He almost smiled. It did not reach his eyes. “You think you can walk me out?” The lanterns flickered. Somewhere a bone token clicked against stone. Quinn adjusted her grip, felt the old leather of her watch, and held her ground. The chase had brought her here. The decision had already been made the moment she left the rain behind. Now there was only the next step, and the one after that, and the long dark of a market that sold things no detective was meant to see. She took it.
created_at"2026-09-01T14:34:32.509Z" 9/1/2026, 2:34:32 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency541
moderation_latency(null)
generation_time90933
tokens_prompt888
tokens_completion2965
native_tokens_prompt1016
native_tokens_completion3700
native_tokens_completion_images(null)
native_tokens_reasoning1574
native_tokens_cached896
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"
usage0.022888
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788273272-DLjy5mQNiKofk27V9Fi5"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788273272-pNT34GPkK10LXurCxY3G"
upstream_id"5da15225-5d24-92a6-bb32-ec1e299d373d"
provider_responses
0
endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"5da15225-5d24-92a6-bb32-ec1e299d373d"
is_byokfalse
latency141
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.022888
cache_discount0.001344
upstream_inference_cost0
provider_name"xAI"
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
97.10% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1726
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
65.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1726
totalAiIsms12
found
0
word"fractured"
count1
1
word"roaring"
count1
2
word"familiar"
count2
3
word"flickered"
count2
4
word"weight"
count2
5
word"gloom"
count1
6
word"pulse"
count1
7
word"traced"
count1
8
word"down her spine"
count1
highlights
0"fractured"
1"roaring"
2"familiar"
3"flickered"
4"weight"
5"gloom"
6"pulse"
7"traced"
8"down her spine"
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
narrationSentences169
matches
0"t with fear"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences169
filterMatches
0"watch"
hedgeMatches
0"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences176
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
totalWords1724
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions67
wordCount1625
uniqueNames28
maxNameDensity0.8
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Raven1
Nest3
Soho1
Harlow1
Quinn13
Herrera13
Saint1
Christopher1
Greek1
Street1
Tomás1
Morris7
Avenue1
Faces1
Tottenham1
Court1
Road1
Camden3
Veil2
Market2
Underground1
Tube1
English1
Heads1
Seville1
London2
Metropolitan1
Rain3
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Herrera"
5"Saint"
6"Christopher"
7"Tomás"
8"Morris"
9"Market"
10"Heads"
11"Rain"
places
0"Soho"
1"Greek"
2"Street"
3"Avenue"
4"Tottenham"
5"Court"
6"Road"
7"Tube"
8"Seville"
9"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences101
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.58
wordCount1724
matches
0"not with fear exactly but with calculation"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences176
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean43.1
std29.52
cv0.685
sampleLengths
086
12
23
378
49
586
672
759
888
96
1058
1154
1278
1322
1479
153
1674
175
1877
1970
2023
2157
223
2369
2448
2570
2639
2714
2858
2929
3028
3152
3219
3325
3465
3525
369
377
3872
393
92.81% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences169
matches
0"been locked"
1"were gone"
2"been mopped"
3"was allowed"
4"been made"
5"was meant"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs271
matches
0"was making"
1"was going"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences2
totalSentences176
ratio0.011
matches
0"The scar along his left forearm—knife work, according to the file—caught the light as he pumped his arms."
1"Maps and black-and-white photographs lined the walls of the Nest; down here the walls were bare brick and old advertising posters bleached to ghosts."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1637
adjectiveStacks0
stackExamples(empty)
adverbCount44
adverbRatio0.02687843616371411
lyAdverbCount10
lyAdverbRatio0.006108735491753207
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences176
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences176
mean9.8
std7.28
cv0.743
sampleLengths
021
116
212
326
46
55
62
73
821
916
107
118
1216
134
143
153
167
172
184
194
2014
2125
222
233
244
2514
2616
2713
2816
298
303
3113
3219
332
341
351
3614
3713
3822
396
4015
4118
4225
434
448
457
4611
471
485
4910
49.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats23
diversityRatio0.375
totalSentences176
uniqueOpeners66
69.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences144
matches
0"Then he had looked back."
1"Somewhere deeper, a bell rang"
2"Somewhere a bone token clicked"
ratio0.021
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount48
totalSentences144
matches
0"She had spotted Herrera leaving"
1"She had given him a"
2"She had his file memorised:"
3"Her voice carried, flat and"
4"He did not stop."
5"He never even slowed."
6"She wiped her face with"
7"Her cropped salt-and-pepper hair was"
8"She ignored it."
9"She took the same jump,"
10"She weaved through them, badge"
11"He was fast for a"
12"Her lungs burned in a"
13"She had chased men through"
14"She had never chased one"
15"He was making for Camden."
16"She had dismissed most of"
17"He knew the streets."
18"He knew she did not"
19"He put on a burst"
ratio0.333
60.69% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount115
totalSentences144
matches
0"Rain sheeted off the green"
1"Detective Harlow Quinn kept her"
2"She had spotted Herrera leaving"
3"She had given him a"
4"Quinn cut the corner onto"
5"Herrera was already thirty metres"
6"Olive skin gone sallow under"
7"She had his file memorised:"
8"The clique’s pet medic."
9"Her voice carried, flat and"
10"He did not stop."
11"He never even slowed."
12"A delivery van growled past,"
13"She wiped her face with"
14"DS Morris used to say"
15"Morris was three years dead"
16"Herrera ducked left into an"
17"Quinn followed, shoulder clipping brick,"
18"Her cropped salt-and-pepper hair was"
19"She ignored it."
ratio0.799
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences144
matches
0"Now he ran."
1"Now the seals were gone."
2"Now there was only the"
ratio0.021
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences68
technicalSentenceCount4
matches
0"Herrera was already at the far end, speaking low to a figure in a long coat who stood beside a rusted barrier."
1"Forty-one years old, eighteen of them decorated, and still she stood on a platform that should not exist, staring at a market that sold enchanted goods and bann…"
2"Quinn thought of Herrera’s medallion, the saint who protected travellers."
3"For a moment the former paramedic showed through the runner: tired, precise, a man who had once saved lives by breaking rules."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences14
tagDensity0.143
leniency0.286
rawRatio0
effectiveRatio0
94.0461%