Run: 2026-02-25-01KJBE692DR7YN0HGFTSGTQV0V

Run Details

Duration:
46.2s
Cost:
$0.009074
Provider:
Alibaba

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 lashed against the pavement of Camden High Street, turning the asphalt into a slick, black mirror that reflected the fractured neon of the city. Detective Harlow Quinn did not slip. Her boots were heavy, rubber-soled, and planted with the military precision of eighteen years in the Metropolitan Police. She pulled her collar up against the chill, her breath pluming in white clouds that vanished instantly into the damp night air. Ahead of her, a figure darted between the rows of parked cars. He was fast, but he was not a professional runner. His gait was uneven, a hitch in the left stride that betrayed a limp or a wound. Quinn checked the worn leather watch on her left wrist. 23:47. The Veil Market opened at midnight, and the full moon was rising behind the low-hanging clouds. The timing was not a coincidence. She had tracked the signal from the Raven’s Nest in Soho, following a digital ghost through the city’s grid until it terminated here, beneath the abandoned Camden Town station. The suspect was a courier, a link in the chain that had swallowed her partner, DS Morris, three years ago. She would not lose him now. Quinn sprinted, her salt-and-pepper hair plastered to her scalp, her sharp jaw set in a rigid line. She cut across the street, ignoring the blare of an approaching taxi. The driver swerved, horn blaring, but she was already on the other side, boots splashing through a puddle that smelled of diesel and decay. The station entrance loomed ahead, a gaping maw of brick and iron bars that had been sealed for decades. Yet, the air around it shimmered, a distortion in the humidity that made the raindrops curve away from the doorway. The suspect skidded to a halt before the iron bars. He fumbled in his coat, pulling out a small, pale object. A bone token. Quinn recognized the shape from the evidence files she had stolen from the precinct server. He pressed it against the metal. The bars groaned, the rust flaking away as if burned by acid, and the entrance swung inward with a silent, oily grace. The figure slipped through the darkness. Quinn skidded to a stop at the threshold. The temperature dropped ten degrees in a second. The smell of the city vanished, replaced by the scent of ozone, old paper, and something metallic, like blood on a copper coin. She knew the rules. The Veil Market moved with the moon. It required a token. She had neither. To step in without a token was to invite the wrath of whatever guarded this place. It was suicide. It was also the only way to catch the man who had led her here. She scanned the interior. The tunnel stretched down into the earth, lit by flickering gas lamps that cast long, dancing shadows against the tiled walls. Stalls lined the corridor, draped in heavy velvet and canvas. Whispers drifted up, a low hum of voices speaking languages she did not know. Then she saw him. Standing near a stall draped in black silk was a man with short curly dark hair and olive skin. Tomás Herrera. The former paramedic. The man who had lost his license for treating patients who shouldn't exist. He wore a silver chain around his neck, the Saint Christopher medallion glinting in the lamplight. He was looking at the entrance, his warm brown eyes locking onto hers through the gloom. He didn't look surprised. He looked resigned. Quinn’s hand went to her service weapon, the grip cold against her palm. She knew he was part of the clique. She knew he was protecting them. But she also knew he was the only one who could tell her where Morris was. The official report said accidental discharge. Quinn knew better. She had seen the files. She had seen the symbols. The suspect was gone, swallowed by the crowd deeper in the tunnel. If she stayed here, she filed a report. She wrote up the incident. She went home to her empty apartment and stared at the photograph of Morris on her mantle. If she went in, she crossed a line there was no coming back from. Quinn looked down at her watch. 23:58. Two minutes until the market fully opened to the supernatural traffic. If she waited, the barrier would seal. She reached into her coat pocket and pulled out a small, jagged shard of bone she had kept in her evidence locker. She had found it in Morris’s pocket when they pulled his body from the river. She had never processed it. She had never reported it. It was a token of her own making, forged from grief and guilt. She stepped forward. The air grew heavy, pressing against her chest like deep water. The iron bars behind her began to rust rapidly, sealing the exit. She was committed. Quinn pushed through the threshold. The sound of the rain cut out instantly. The silence was absolute, save for the hum of the market. She kept her head down, her eyes scanning the perimeter. She moved with purpose, her military bearing cutting through the chaotic energy of the crowd. People moved out of her way, not out of respect, but out of instinct. They sensed the predator in the room. Tomás watched her pass. He didn't move to stop her. He simply turned back to his stall, his hand resting on a knife sheathed at his hip. A warning. Quinn ignored him. She moved deeper into the station, her boots clicking on the wet tiles. The shadows seemed to stretch toward her, reaching with invisible fingers. She could feel the weight of the bone shard in her pocket, burning against her thigh. It was a key, but it was also a beacon. She stopped at a junction where the tunnel split into three directions. To the left, the sound of haggling and the clink of glass. To the right, the smell of sulfur and chanting. Straight ahead, a set of stairs leading down into the dark. She chose straight. Her heart hammered against her ribs, a steady rhythm that matched her breathing. She was a detective. She was the law. But down here, the law was written in blood and magic. She tightened her grip on her gun. She didn't care about the consequences. She didn't care about the danger. She had lost one partner to the dark. She would not lose the truth. Quinn took the first step down. The darkness swallowed her, but she did not stop. She was the hunter now, and the hunt was just beginning.
created_at"2026-02-25T22:19:54.331Z" 2/25/2026, 10:19:54 PM
model"qwen/qwen3.5-27b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency814
moderation_latency(null)
generation_time46131
tokens_prompt914
tokens_completion4024
native_tokens_prompt870
native_tokens_completion3672
native_tokens_completion_images(null)
native_tokens_reasoning2293
native_tokens_cached0
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"stop"
usage0.0090738
router(null)
provider_responses
0
endpoint_id"f3f88554-0c22-4d57-973b-0dec948808e8"
id"chatcmpl-db8f2681-1ca6-9923-87c4-af2987c886e8"
is_byokfalse
latency813
model_permaslug"qwen/qwen3.5-27b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772057994-K6N15M2Tgz7NyyRRO1WR"
upstream_id"chatcmpl-db8f2681-1ca6-9923-87c4-af2987c886e8"
total_cost0.0090738
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1105
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)
14.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1105
totalAiIsms19
found
0
word"fractured"
count1
1
word"chill"
count1
2
word"loomed"
count1
3
word"maw"
count1
4
word"shimmered"
count1
5
word"scanned"
count1
6
word"dancing"
count1
7
word"velvet"
count1
8
word"silk"
count1
9
word"glinting"
count1
10
word"gloom"
count1
11
word"processed"
count1
12
word"silence"
count1
13
word"scanning"
count1
14
word"chaotic"
count1
15
word"predator"
count1
16
word"could feel"
count1
17
word"weight"
count1
18
word"beacon"
count1
highlights
0"fractured"
1"chill"
2"loomed"
3"maw"
4"shimmered"
5"scanned"
6"dancing"
7"velvet"
8"silk"
9"glinting"
10"gloom"
11"processed"
12"silence"
13"scanning"
14"chaotic"
15"predator"
16"could feel"
17"weight"
18"beacon"
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
narrationSentences108
matches(empty)
89.95% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences108
filterMatches
0"watch"
hedgeMatches
0"began to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences108
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1105
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount1105
uniqueNames17
maxNameDensity1
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden2
High1
Street1
Harlow1
Quinn11
Metropolitan1
Police1
Veil2
Market2
Raven1
Nest1
Soho1
Town1
Morris4
Herrera1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Market"
3"Morris"
4"Herrera"
5"Saint"
6"Christopher"
places
0"Camden"
1"High"
2"Street"
3"Metropolitan"
4"Raven"
5"Soho"
6"Town"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.905
wordCount1105
matches
0"not out of respect, but out of instinct"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences108
matches(empty)
97.31% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean48.04
std23.57
cv0.491
sampleLengths
071
172
255
392
467
56
657
734
849
973
107
1162
1256
1325
1460
1529
1670
1729
1853
1944
203
2165
2226
92.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences108
matches
0"been sealed"
1"was gone"
2"was committed"
3"was written"
58.91% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs189
matches
0"was rising"
1"was looking"
2"was protecting"
3"was just beginning"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences108
ratio0
matches(empty)
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1109
adjectiveStacks2
stackExamples
0"short curly dark hair"
1"heavy, pressing against her"
adverbCount16
adverbRatio0.014427412082957619
lyAdverbCount9
lyAdverbRatio0.008115419296663661
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences108
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences108
mean10.23
std6.12
cv0.598
sampleLengths
025
16
218
322
412
510
617
710
81
916
106
1129
1220
136
1417
1512
1624
1719
1820
1910
2011
213
2215
236
2422
256
268
278
2823
294
307
314
323
3316
343
3515
364
3721
3810
3914
404
4119
422
433
4413
4516
4616
474
483
4913
26.42% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats25
diversityRatio0.22641509433962265
totalSentences106
uniqueOpeners24
32.05% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences104
matches
0"Then she saw him."
ratio0.01
23.85% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount51
totalSentences104
matches
0"Her boots were heavy, rubber-soled,"
1"She pulled her collar up"
2"He was fast, but he"
3"His gait was uneven, a"
4"She had tracked the signal"
5"She would not lose him"
6"She cut across the street,"
7"He fumbled in his coat,"
8"He pressed it against the"
9"She knew the rules."
10"It required a token."
11"She had neither."
12"It was suicide."
13"It was also the only"
14"She scanned the interior."
15"He wore a silver chain"
16"He was looking at the"
17"He didn't look surprised."
18"He looked resigned."
19"She knew he was part"
ratio0.49
27.31% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount90
totalSentences104
matches
0"Rain lashed against the pavement"
1"Detective Harlow Quinn did not"
2"Her boots were heavy, rubber-soled,"
3"She pulled her collar up"
4"He was fast, but he"
5"His gait was uneven, a"
6"Quinn checked the worn leather"
7"The Veil Market opened at"
8"The timing was not a"
9"She had tracked the signal"
10"The suspect was a courier,"
11"She would not lose him"
12"Quinn sprinted, her salt-and-pepper hair"
13"She cut across the street,"
14"The driver swerved, horn blaring,"
15"The station entrance loomed ahead,"
16"The suspect skidded to a"
17"He fumbled in his coat,"
18"A bone token."
19"Quinn recognized the shape from"
ratio0.865
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount7
totalSentences104
matches
0"Yet, the air around it"
1"To step in without a"
2"If she stayed here, she"
3"If she went in, she"
4"If she waited, the barrier"
5"To the left, the sound"
6"To the right, the smell"
ratio0.067
64.94% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount6
matches
0"Rain lashed against the pavement of Camden High Street, turning the asphalt into a slick, black mirror that reflected the fractured neon of the city."
1"She pulled her collar up against the chill, her breath pluming in white clouds that vanished instantly into the damp night air."
2"The suspect was a courier, a link in the chain that had swallowed her partner, DS Morris, three years ago."
3"The driver swerved, horn blaring, but she was already on the other side, boots splashing through a puddle that smelled of diesel and decay."
4"The tunnel stretched down into the earth, lit by flickering gas lamps that cast long, dancing shadows against the tiled walls."
5"Her heart hammered against her ribs, a steady rhythm that matched her breathing."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.8338%