Run: 2026-02-25-01KJBFJ32TCRD09HS3DH7SMFBW

Run Details

Duration:
46.4s
Cost:
$0.001457
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
The rain did not fall in London; it attacked. It hammered down on the soya-blackened tarmac of Camden High Street, washing grease and grime into the gutters while a cold wind sliced through Harlow Quinn’s trench coat. She checked her watch, the leather strap worn smooth against her wrist, the hands ticking past 11:40. Ten minutes since she’d broken off from the perimeter at the Raven’s Nest. She had been certain he was the one. The olive-skinned man with the Saint Christopher medallion peeking out from his scarf. Tomás Herrera. The medic. The one the clique fed on. Quinn’s jaw tightened, the muscles in her face set as though she were chisel-cut for this exact moment. Three years since Morris had died in a warehouse that looked too much like a slaughterhouse, and three years since she realized the paperwork was a lie. This man wasn't just a witness. He was infrastructure. Quinn stepped off the curb, her boots hitting a puddle that sent a spray of dark water into the air. She didn't run yet. Running was for amateurs. It burned oxygen and made noise. She moved with military precision, a soldier in a trench coat trailing the target she saw only in her periphery. Tomás had turned a corner into an alleyway that smelled of stale beer and rotting fish. He wasn't running; he was gliding, moving with the quiet grace of someone comfortable with shadows. Quinn followed, her breathing shallow and controlled. She caught a glimpse of his flash of brown skin in the beam of her torch as she swept the dark mouth of the alley. He knew he was being followed. He didn't stop until he reached the dead end of an old Tube station platform, long since decommissioned and sealed. The red roundel of the London Underground was faded on the tiled wall, peeling like sunburned skin. Tomás stopped. He didn't turn. He reached into his inner pocket. Quinn halted fifty meters back, pressing herself against the brickwork of a vent stack. Rain dripped from her hood, masking her hair, which was cropped short and salt-and-pepper salt against the black night. What was he doing? Tomás reached into his pocket and pulled out an object. It glinted in the flicker of the streetlights. Bone. A tibia, perhaps, polished and drilled. A token. He pressed it against a section of the wall that shimmered, just for a second, like heat haze on asphalt. The bricks groaned. A gap of inky blackness widened into the wall, exhaling the stale air of the tube tunnels into the damp London street. Quinn’s breath caught. There was no door. There was no entrance on the manifest. Yet the space shifted, breathing like a lung. She looked at the wall, then at the token in Tomás’s hand. It wasn't magic in the comic book sense; it was alchemical. It was the kind of work that had cost him his NHS license. The kind of work that had killed Morris. The rain soaked into her shoulders. She could hear the sound of the token being returned to the pocket. Tomás began to step into the darkness, his silhouette swallowed by the void. This was it. The moment she had chased for eighteen years of service. The Metropolitan Police wanted her to follow procedure, to call for a raid team, to wait for a warrant signed by a judge who didn't understand the supernatural. But the warrant would take three days. Three days, and a market would move. The Veil Market. The rumors were just rumors in the precinct, whispers among the older detectives with stories about missing artifacts and bodies that never went cold. Now the rumor was a door opening in a wall. Quinn took a step forward, her boots clicking on the wet tiles. Just one step to confirm it. If she stepped into that opening, she left the rules behind. She left the jurisdiction. If she stayed, she waited until the morning when the entrance vanished and she would have nothing but a witness who would vanish with it. She thought of Morris’s face. She thought of the wound on her partner’s chest that looked like it had been cauterized by something unnatural. She thought of the files she had kept in the bottom drawer of her desk, the ones that didn't exist anymore. Her fingers brushed the worn leather of her watch. Four minutes past midnight. The air from the tunnel smelled of ozone and old earth, a scent that shouldn't exist this deep underground without an industrial leak. It smelled wrong. It smelled like the thing that had taken her partner. She watched him disappear. He didn't run. He moved like a fish into a current that swallowed light. Quinn raised her gun, the weight of it familiar against her hip. It was standard issue, steel and polymer, designed to stop a man with a pocket knife, not a man who opened walls into the dark side of the city. But a gun was a promise. A promise of justice. A promise of ending. She stepped off the platform. She did not move to the opening. Harlow Quinn stood at the precipice, the rain drumming a violent rhythm on her coat. The wind howled through the gaps in the tiles, carrying the scent of the tunnel deeper into her lungs. It was a choice that would change her file, change her reputation, change her life. If she followed, she would be a rogue. If she turned back, she would be a failure. She could not feel the cold anymore. Her mind was focused, the way it had been on the day Morris died. The sensory overload of the street—the sirens, the cars, the rain—fell away, leaving her with the only thing that mattered: the open mouth of the dark. She reached behind her belt and pulled her radio off. The static crackled, a ghostly sound. "Dispatch, this is Quinn," she said, her voice flat. "I'm going dark. If I don't make contact by six, don't send the backup. Don't send anyone." She clipped the radio shut and tossed it into a metal bin nearby. The sound of plastic hitting metal echoed, a sharp, definitive period at the end of a sentence she wasn't allowed to write. She took another step. Her heel crossed the threshold of the stone. The light from the streetlamp faded behind her, replaced by the faint, phosphorescent glow of the tunnel ahead. She could see the shape of Tomás ahead, waiting, his scarred forearm visible, his medallion catching the dim light. There was no going back. Not really. She felt the shift in the air, the way the world bent. Quinn Quinn squared her shoulders, adjusted her grip on the holster, and stepped out of the rain.
created_at"2026-02-25T22:44:14.458Z" 2/25/2026, 10:44:14 PM
model"qwen/qwen3.5-flash-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency453
moderation_latency(null)
generation_time21823
tokens_prompt914
tokens_completion3722
native_tokens_prompt870
native_tokens_completion3424
native_tokens_completion_images(null)
native_tokens_reasoning1990
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"
usage0.0014566
router(null)
provider_responses
0
endpoint_id"5f6b71b5-8672-4b27-8b2d-f674429f9e63"
id"chatcmpl-caf05fc5-595b-9dce-b3fb-1728d74afd83"
is_byokfalse
latency453
model_permaslug"qwen/qwen3.5-flash-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772059454-yVcQ05INpiqbmE06E64z"
upstream_id"chatcmpl-caf05fc5-595b-9dce-b3fb-1728d74afd83"
total_cost0.0014566
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences2
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
95.60% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1137
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)
69.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1137
totalAiIsms7
found
0
word"comfortable"
count1
1
word"flicker"
count1
2
word"shimmered"
count1
3
word"weight"
count1
4
word"familiar"
count1
5
word"standard"
count1
6
word"echoed"
count1
highlights
0"comfortable"
1"flicker"
2"shimmered"
3"weight"
4"familiar"
5"standard"
6"echoed"
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
narrationSentences102
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences102
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences103
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
totalWords1135
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount1114
uniqueNames19
maxNameDensity0.99
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
London3
Camden1
High1
Street1
Harlow2
Quinn11
Raven1
Nest1
Saint1
Christopher1
Herrera1
Morris4
Tube1
Underground1
Tomás7
Metropolitan1
Police1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Saint"
3"Christopher"
4"Herrera"
5"Morris"
6"Tube"
7"Tomás"
8"Police"
9"Market"
places
0"London"
1"Camden"
2"High"
3"Street"
4"Raven"
globalScore1
windowScore1
82.43% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences74
glossingSentenceCount2
matches
0"looked like it had been cauterized by som"
1"smelled like the thing that had taken her"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1135
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences103
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean40.54
std22.16
cv0.547
sampleLengths
054
113
285
354
470
548
633
74
872
922
1044
1132
1282
1310
1458
1545
1613
1736
1818
1955
2012
2166
2247
2316
2426
2535
2649
2736
84.62% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences102
matches
0"being followed"
1"was faded"
2"was cropped"
3"being returned"
4"been cauterized"
5"was focused"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs185
matches
0"was gliding"
1"wasn't running"
31.90% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount3
flaggedSentences4
totalSentences103
ratio0.039
matches
0"The rain did not fall in London; it attacked."
1"He wasn't running; he was gliding, moving with the quiet grace of someone comfortable with shadows."
2"It wasn't magic in the comic book sense; it was alchemical."
3"The sensory overload of the street—the sirens, the cars, the rain—fell away, leaving her with the only thing that mattered: the open mouth of the dark."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1121
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.016057091882247992
lyAdverbCount4
lyAdverbRatio0.003568242640499554
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences103
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences103
mean11.02
std7.25
cv0.658
sampleLengths
09
128
217
313
48
513
62
72
86
918
1027
116
123
1320
144
154
166
1720
1816
1916
207
2125
226
2320
2417
252
263
276
2814
2919
304
3110
328
331
346
352
3620
373
3822
393
404
417
428
4312
4411
4513
468
476
4813
4913
34.47% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.2524271844660194
totalSentences103
uniqueOpeners26
34.72% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences96
matches
0"Just one step to confirm"
ratio0.01
45.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount42
totalSentences96
matches
0"It hammered down on the"
1"She checked her watch, the"
2"She had been certain he"
3"He was infrastructure."
4"She didn't run yet."
5"It burned oxygen and made"
6"She moved with military precision,"
7"He wasn't running; he was"
8"She caught a glimpse of"
9"He knew he was being"
10"He didn't stop until he"
11"He didn't turn."
12"He reached into his inner"
13"It glinted in the flicker"
14"He pressed it against a"
15"She looked at the wall,"
16"It wasn't magic in the"
17"It was the kind of"
18"She could hear the sound"
19"She left the jurisdiction."
ratio0.438
48.54% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences96
matches
0"The rain did not fall"
1"It hammered down on the"
2"She checked her watch, the"
3"She had been certain he"
4"The olive-skinned man with the"
5"The one the clique fed"
6"Quinn’s jaw tightened, the muscles"
7"This man wasn't just a"
8"He was infrastructure."
9"Quinn stepped off the curb,"
10"She didn't run yet."
11"Running was for amateurs."
12"It burned oxygen and made"
13"She moved with military precision,"
14"Tomás had turned a corner"
15"He wasn't running; he was"
16"Quinn followed, her breathing shallow"
17"She caught a glimpse of"
18"He knew he was being"
19"He didn't stop until he"
ratio0.823
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount5
totalSentences96
matches
0"Now the rumor was a"
1"If she stepped into that"
2"If she stayed, she waited"
3"If she followed, she would"
4"If she turned back, she"
ratio0.052
26.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount8
matches
0"Quinn’s jaw tightened, the muscles in her face set as though she were chisel-cut for this exact moment."
1"Three years since Morris had died in a warehouse that looked too much like a slaughterhouse, and three years since she realized the paperwork was a lie."
2"Rain dripped from her hood, masking her hair, which was cropped short and salt-and-pepper salt against the black night."
3"It was the kind of work that had cost him his NHS license."
4"The Metropolitan Police wanted her to follow procedure, to call for a raid team, to wait for a warrant signed by a judge who didn't understand the supernatural."
5"She thought of the wound on her partner’s chest that looked like it had been cauterized by something unnatural."
6"The air from the tunnel smelled of ozone and old earth, a scent that shouldn't exist this deep underground without an industrial leak."
7"It was a choice that would change her file, change her reputation, change her life."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount1
matches
0"she said, her voice flat"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences2
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
81.7582%