Run: 2026-02-26-01KJBM2RVFM789PS1AEYSYPY3N

Run Details

Duration:
49.4s
Cost:
$0.009251
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, turning the asphalt into a slick, black mirror that reflected the fractured neon of the city. Detective Harlow Quinn pushed through the downpour, her movements economical and sharp, betraying the military precision of her bearing. She was forty-one years old, but the cold rain plastered her closely cropped salt-and-pepper hair to her scalp, making her look older, harder. Her breath plumed in the air, white and ragged, though she refused to let her pace falter. On her left wrist, the worn leather watch ticked steadily against her pulse, a reminder of time running out. Ahead of her, a shadow moved with desperate fluidity. Tomás Herrera. He was twenty-nine, young enough to be reckless, old enough to know the cost of running. Quinn had tracked him out of the Raven's Nest, past the distinctive green neon sign that buzzed like an angry insect above the bar in Soho, and all the way north to this abandoned stretch of the Underground. She had seen the way the bar’s patrons had looked at him with a mixture of reverence and fear. She had seen the file on him: former paramedic, license revoked, unauthorized treatments. But the file didn’t mention the things that happened in the dead of night, the things that smelled of ozone and old blood. Quinn’s boots splashed through a puddle, the sound sharp in the empty street. Herrera had vanished around the corner of a boarded-up tube entrance, the iron gates rusted and chained. He knew this place. He knew where the city bled into the dark. Quinn rounded the corner, her hand hovering near her holster. The rain was heavier here, drumming against the corrugated metal of the station’s roof. The street was deserted, save for the two of them. The air smelled of wet concrete and something else—something coppery and ancient, like a grave opened too soon. She saw him then, standing before a grate in the pavement that didn’t match the rest of the station. It was hidden behind a pile of refuse, but the metal around it was warm to the touch, radiating a heat that shouldn’t exist in this weather. Herrera turned to face her. His olive skin was pale under the streetlamp, his short curly dark brown hair dripping. He held his left arm close to his chest, the scar running along his forearm visible even in the gloom—a jagged white line from a knife attack that hadn’t been on any police report. “Don’t come any closer, Detective,” Herrera said. His voice was calm, lacking the panic of a man being hunted. Quinn stopped five paces away, her sharp jaw set. “You’re not going anywhere, Tommy. Not after what you did at the Nest.” “I didn’t do anything,” Herrera lied. Quinn saw the tension in his shoulders, the way his fingers brushed the chain around his neck. The Saint Christopher medallion glinted, a small silver cross against the damp fabric of his shirt. “Morris would have wanted to know,” Quinn said, the name of her dead partner hanging heavy between them. Three years. Three years of unexplained circumstances, of files that went cold, of a partner who vanished into a case that shouldn’t have existed. She didn’t understand the supernatural origins of his death, not yet, but she felt the pull of it now, like a hook in her gut. Herrera’s eyes, warm brown and tired, locked onto hers. “You don’t know what you’re chasing. This isn’t your jurisdiction.” “Everything is my jurisdiction when it involves a dead partner.” Quinn took a step forward. The rain soaked her coat, weighing it down. She could see the entrance now. It wasn’t just a grate; it was a doorway into the Veil Market, though she didn’t know the name yet. She knew only that it was wrong. The air shimmered around the opening, distorting the light from the streetlamp. Herrera reached into his pocket. Quinn’s hand tightened on her weapon. He pulled out a small object, pale and irregular. A bone token. He pressed it against the rusted metal of the grate. The metal groaned, not with the sound of rust, but with the sound of something waking up. The grate slid open, revealing a stairwell that descended into absolute darkness. A draft rushed up from below, carrying the scent of dried herbs, alchemical smoke, and the damp rot of the earth. “It moves every full moon,” Herrera said, his voice low. “If you come down there, you won’t be able to get back out the same way.” Quinn looked at the token, then at the stairs. Her training screamed at her to wait for backup, to secure the perimeter, to follow protocol. But protocol hadn’t saved Morris. Protocol hadn’t explained the burn marks on the victim’s skin or the whispers in the interrogation room. She looked at the watch on her wrist. The leather was cracked, just like her patience. “I don’t need a way out,” Quinn said. Herrera hesitated, then stepped into the darkness. The light from the street caught the edge of his silhouette before he vanished into the gloom of the abandoned Tube station beneath Camden. Quinn stood at the threshold. The rain continued to pour, washing the city clean, but she knew the dirt down there wouldn’t wash off. The Veil Market was a black market for enchanted goods and banned substances, a place where the laws of the Metropolitan Police held no sway. To step down was to admit that the world was wider and stranger than the badge on her chest allowed. She thought of Morris. She thought of the silence in the station after they pulled his body from the river, the silence that felt like a lie. Quinn holstered her weapon. She didn’t need it. She needed to see. She needed to know. She stepped over the grate and into the stairwell. The air grew instantly colder, the rain outside fading to a dull roar. The darkness here was thick, pressing against her eyes. She descended, her boots clicking on the metal steps. The sound echoed too loudly, too clearly. At the bottom, the darkness parted. A low hum vibrated through the soles of her feet. She could see shapes moving in the distance, shadows that didn’t match the bodies of the people casting them. The smell of ozone was stronger now, mixed with the metallic tang of blood. Herrera was waiting for her at the edge of the market floor, his hand still on the bone token. He looked back at her, his expression unreadable. “You didn’t have to follow,” he said. “I don’t leave loose ends,” Quinn replied, her voice steady despite the adrenaline flooding her veins. She scanned the perimeter, her eyes adjusting to the dim, unnatural light that seemed to emanate from the wares on the stalls. “Then you better watch your back,” Herrera said, turning away. “Because down here, the loose ends are the ones that get cut.” Quinn watched him go, her heart hammering against her ribs. She was in enemy territory, in a place that defied the logic of her eighteen years of service. The Veil Market stretched out before her, a labyrinth of secrets and shadows. She tightened her grip on her watch, feeling the leather against her skin. She had crossed the line. There was no turning back now.
created_at"2026-02-26T00:02:50.868Z" 2/26/2026, 12:02:50 AM
model"qwen/qwen3.5-27b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency699
moderation_latency(null)
generation_time49322
tokens_prompt914
tokens_completion4161
native_tokens_prompt870
native_tokens_completion3746
native_tokens_completion_images(null)
native_tokens_reasoning2179
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"
usage0.0092514
router(null)
provider_responses
0
endpoint_id"f3f88554-0c22-4d57-973b-0dec948808e8"
id"chatcmpl-92b4c003-476e-9520-a111-056988385a69"
is_byokfalse
latency699
model_permaslug"qwen/qwen3.5-27b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772064170-r6ZnR4hiqmAgYf9fnYGY"
upstream_id"chatcmpl-92b4c003-476e-9520-a111-056988385a69"
total_cost0.0092514
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences13
tagDensity0.692
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1230
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)
43.09% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1230
totalAiIsms14
found
0
word"fractured"
count1
1
word"pulse"
count1
2
word"reminder"
count1
3
word"grave"
count1
4
word"gloom"
count2
5
word"tension"
count1
6
word"shimmered"
count1
7
word"silence"
count2
8
word"echoed"
count1
9
word"vibrated"
count1
10
word"unreadable"
count1
11
word"scanned"
count1
highlights
0"fractured"
1"pulse"
2"reminder"
3"grave"
4"gloom"
5"tension"
6"shimmered"
7"silence"
8"echoed"
9"vibrated"
10"unreadable"
11"scanned"
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
narrationSentences91
matches(empty)
80.06% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences91
filterMatches
0"look"
1"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1228
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions48
wordCount1125
uniqueNames17
maxNameDensity1.33
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden2
Harlow1
Quinn15
Herrera11
Raven1
Nest1
Soho1
Underground1
Saint1
Christopher1
Three2
Veil3
Market3
Morris2
Tube1
Metropolitan1
Police1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Herrera"
4"Raven"
5"Nest"
6"Saint"
7"Christopher"
8"Market"
9"Morris"
10"Police"
places
0"Soho"
1"Veil"
globalScore0.833
windowScore0.833
78.57% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences70
glossingSentenceCount2
matches
0"felt like a lie"
1"light that seemed to emanate from the wares on the stalls"
37.13% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.629
wordCount1228
matches
0"not yet, but she felt the pull of it now, like a hook in her gut"
1"not with the sound of rust, but with the sound of something waking up"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences95
matches
0"admit that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean42.34
std27.32
cv0.645
sampleLengths
0101
111
2109
343
452
5100
619
722
839
967
1019
1168
1233
1350
1426
1547
1616
178
1831
1969
2027
2116
2247
2349
2427
257
2638
2722
2865
89.84% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences91
matches
0"was deserted"
1"was hidden"
2"being hunted"
3"was cracked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs178
matches
0"was waiting"
52.63% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences3
totalSentences95
ratio0.032
matches
0"The air smelled of wet concrete and something else—something coppery and ancient, like a grave opened too soon."
1"He held his left arm close to his chest, the scar running along his forearm visible even in the gloom—a jagged white line from a knife attack that hadn’t been on any police report."
2"It wasn’t just a grate; it was a doorway into the Veil Market, though she didn’t know the name yet."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1132
adjectiveStacks1
stackExamples
0"thick, pressing against her"
adverbCount28
adverbRatio0.024734982332155476
lyAdverbCount7
lyAdverbRatio0.006183745583038869
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean12.93
std7.09
cv0.548
sampleLengths
023
119
223
317
419
59
62
716
838
919
1013
1123
1213
1317
144
159
1610
1714
1810
1918
2019
2127
225
2315
2434
257
2612
279
2813
296
3017
3116
3218
332
3422
3525
369
3710
3815
398
406
4120
427
4312
445
456
469
473
4810
4917
36.32% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.29473684210526313
totalSentences95
uniqueOpeners28
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences85
matches(empty)
ratio0
64.71% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences85
matches
0"She was forty-one years old,"
1"Her breath plumed in the"
2"He was twenty-nine, young enough"
3"She had seen the way"
4"She had seen the file"
5"He knew this place."
6"He knew where the city"
7"She saw him then, standing"
8"It was hidden behind a"
9"His olive skin was pale"
10"He held his left arm"
11"His voice was calm, lacking"
12"She didn’t understand the supernatural"
13"She could see the entrance"
14"It wasn’t just a grate;"
15"She knew only that it"
16"He pulled out a small"
17"He pressed it against the"
18"Her training screamed at her"
19"She looked at the watch"
ratio0.388
7.06% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences85
matches
0"Rain lashed against the pavement"
1"Detective Harlow Quinn pushed through"
2"She was forty-one years old,"
3"Her breath plumed in the"
4"He was twenty-nine, young enough"
5"Quinn had tracked him out"
6"She had seen the way"
7"She had seen the file"
8"Quinn’s boots splashed through a"
9"Herrera had vanished around the"
10"He knew this place."
11"He knew where the city"
12"Quinn rounded the corner, her"
13"The rain was heavier here,"
14"The street was deserted, save"
15"The air smelled of wet"
16"She saw him then, standing"
17"It was hidden behind a"
18"Herrera turned to face her."
19"His olive skin was pale"
ratio0.906
58.82% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences85
matches
0"To step down was to"
ratio0.012
23.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount8
matches
0"Rain lashed against the pavement of Camden, turning the asphalt into a slick, black mirror that reflected the fractured neon of the city."
1"Quinn had tracked him out of the Raven's Nest, past the distinctive green neon sign that buzzed like an angry insect above the bar in Soho, and all the way nort…"
2"It was hidden behind a pile of refuse, but the metal around it was warm to the touch, radiating a heat that shouldn’t exist in this weather."
3"He held his left arm close to his chest, the scar running along his forearm visible even in the gloom—a jagged white line from a knife attack that hadn’t been o…"
4"Three years of unexplained circumstances, of files that went cold, of a partner who vanished into a case that shouldn’t have existed."
5"The grate slid open, revealing a stairwell that descended into absolute darkness."
6"She scanned the perimeter, her eyes adjusting to the dim, unnatural light that seemed to emanate from the wares on the stalls."
7"She was in enemy territory, in a place that defied the logic of her eighteen years of service."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount3
matches
0"Quinn said, the name of her dead partner hanging heavy between them"
1"Herrera said, his voice low"
2"Quinn replied, her voice steady despite the adrenaline flooding her veins"
87.50% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount1
fancyTags
0"Herrera lied (lie)"
dialogueSentences13
tagDensity0.615
leniency1
rawRatio0.125
effectiveRatio0.125
74.5625%