Run: 2026-02-25-01KJBK1RXTRCSVAQNBAX3MWP4R

Run Details

Duration:
23.2s
Cost:
$0.001328
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 didn't fall in London; it fell like a verdict, hammering against the pavement with the cold finality of a gavel. Harlow Quinn pulled the collar of her coat tighter, the damp wool heavy against her collarbones. She checked the leather face of the watch on her left wrist, the leather scuffed from eighteen years of service. It was 02:14. The time Morris disappeared. A coincidence that tasted like copper in her mouth and hadn't gone away in three years. Ahead, a shadow detached itself from the brickwork of a Soho alley. Quinn broke into a run, her boots slapping against the wet tarmac. She didn't stumble; she didn't breathe heavily. Her bearing was military precision honed by the force of a grief that wouldn't let her sleep. The suspect, a slender figure in a grey duster, didn't break stride until the gaslight of the street failed them. The shadow turned left, towards the edge of Camden where the lights grew dim and the shadows pooled. Harlow followed. She had no backup. Her dispatch was jammed in traffic, and the rain made it impossible for anyone to see her approach. She rounded the corner and sprinted for the subway entrance that wasn't on any public map. The station had been closed for years, marked by rusted iron gates and a faded, peeling sign. Yet, there was a slither of movement from the stairwell leading down into the earth. The grey duster figure was disappearing into the dark. Harlow hit the iron gate. It was locked, but the chain hung loose, swinging slightly in the wind that seemed to originate from below rather than outside. This wasn't a public station. It was a mouth. She gripped the gate, her knuckles whitening under the leather cuffs. The air coming off the concrete stairs smelled wrong. It wasn't the usual smell of mold and urine that characterized abandoned tubes. It smelled of ozone and dried sage. She peered over the edge. The stairs descended into a gloom that seemed to swallow the light from her torch. She didn't have a torch. She only had a standard police issue flashlight clipped to her belt. She flipped it on. The beam cut through the damp haze, illuminating dust motes that floated unnaturally, swirling against the airflow. The suspect had gone past her view. The silence below was heavy, pressing against her eardrums. Quinn stepped onto the first stair. The concrete was cold, seeping through her shoes. She moved methodically, one step at a time. Her training screamed at her to stop, to mark the location and wait, but Morris was still missing in the back of her mind. If this was the link—if the supernatural origins that had swallowed her partner were here in the earth below—she needed the truth. She reached the bottom of the platform. The station had been modified, not for trains, but for trade. The walls, lined with old tiles, were covered in strange markings that looked like currency or sigils. A small group of people stood near the center of the platform, huddled around a lantern that didn't emit heat. They were whispering. A transaction was in progress. Harlow froze. She saw the grey duster figure slip behind a cart stacked with crates. They were gone. The place felt like the stomach of an animal that had swallowed something vital. This was no place for a Metropolitan Police badge. There was no jurisdiction here. This was the Veil Market, a rumor whispered in the briefing rooms, a myth used to scare rookie coppers. She looked down at her badge pouch. It was empty. She had left it on the desk. She couldn't pull a weapon without drawing fire, and she didn't know who owned the station. If she stepped back out, the trail would freeze. The suspect would vanish into the underground labyrinth, and the clue would go cold. If she stayed, she walked into territory that could kill her. A flicker of movement caught her eye near the far wall. A man with a scar on his forearm stepped out of the shadows. He wore a medallion of a saint around his neck, glinting in the dark. He was looking directly at her. He wasn't alarmed; he was assessing. He knew she was there. Harlow shifted her weight, preparing to run, but a weight in her pocket stopped her. A bone token, rough and carved from the femur of an animal, lay in her jacket lining. She hadn't put it there intentionally. She had found it in Morris's desk three months ago, and she had never thrown it away. She had never used it. The man with the medallion didn't speak. He just held out a hand, palm open. Quinn looked at the entrance to the tunnel behind the man, then back at the darkness of the station. The rain above her was a distant sound now. The air here was warm, humid with a scent of exotic spices and decaying stone. It felt ancient. Her partner had looked at the sky when he died. Maybe the city's heart beat down here. Her hand went to the leather watch. The second hand ticked. She could feel the vibration of the bone in her pocket pressing against her thigh. If she turned back, she would be a detective chasing a ghost. If she stayed, she would be something else entirely. She took a half breath, pulling the bone from her pocket. It was cold in her warm hand. She raised it. The man nodded once. The air in the station rippled, a physical wave that pushed against her chest. The light from the lantern flared, turning blue, then settled into a steady, dim yellow. The path cleared. Harlow Quinn stepped forward. The leather of her coat stiffened against the damp air. She didn't check the time. She didn't count the steps. She just walked, leaving the safety of the surface world to the rain, and the ghosts of the past, and into the dark where the answers lived.
created_at"2026-02-25T23:44:49.6Z" 2/25/2026, 11:44:49 PM
model"qwen/qwen3.5-flash-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency486
moderation_latency(null)
generation_time23138
tokens_prompt914
tokens_completion3369
native_tokens_prompt870
native_tokens_completion3103
native_tokens_completion_images(null)
native_tokens_reasoning1833
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"
usage0.0013282
router(null)
provider_responses
0
endpoint_id"5f6b71b5-8672-4b27-8b2d-f674429f9e63"
id"chatcmpl-e4e3d62f-8b35-9e7d-8472-b5cb9045980e"
is_byokfalse
latency486
model_permaslug"qwen/qwen3.5-flash-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772063089-2X94KXwteiqfZgMGteih"
upstream_id"chatcmpl-e4e3d62f-8b35-9e7d-8472-b5cb9045980e"
total_cost0.0013282
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
95.05% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1011
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
55.49% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1011
totalAiIsms9
found
0
word"gloom"
count1
1
word"standard"
count1
2
word"silence"
count1
3
word"stomach"
count1
4
word"flicker"
count1
5
word"glinting"
count1
6
word"weight"
count2
7
word"could feel"
count1
highlights
0"gloom"
1"standard"
2"silence"
3"stomach"
4"flicker"
5"glinting"
6"weight"
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
narrationSentences96
matches(empty)
98.21% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences96
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1009
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
totalMentions21
wordCount1009
uniqueNames10
maxNameDensity0.59
worstName"Harlow"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
London1
Quinn5
Morris3
Soho1
Camden1
Metropolitan1
Police1
Veil1
Market1
Harlow6
persons
0"Quinn"
1"Morris"
2"Harlow"
places
0"London"
1"Soho"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences70
glossingSentenceCount5
matches
0"tasted like copper in her mouth and hadn'"
1"wind that seemed to originate from below rather than outside"
2"gloom that seemed to swallow the light from her torch"
3"looked like currency or sigils"
4"felt like the stomach of an animal that"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.991
wordCount1009
matches
0"not for trains, but for trade"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences96
matches(empty)
75.71% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean53.11
std22.04
cv0.415
sampleLengths
081
112
274
381
476
558
616
768
863
965
1067
1155
1260
1315
1463
1547
1621
1736
1851
86.99% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences96
matches
0"was jammed"
1"been closed"
2"been modified"
3"were covered"
4"were gone"
1.59% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs168
matches
0"was disappearing"
1"was still missing"
2"were whispering"
3"was looking"
4"was assessing"
23.81% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount3
flaggedSentences4
totalSentences96
ratio0.042
matches
0"The rain didn't fall in London; it fell like a verdict, hammering against the pavement with the cold finality of a gavel."
1"She didn't stumble; she didn't breathe heavily."
2"If this was the link—if the supernatural origins that had swallowed her partner were here in the earth below—she needed the truth."
3"He wasn't alarmed; he was assessing."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1011
adjectiveStacks1
stackExamples
0"heavy, pressing against her"
adverbCount24
adverbRatio0.02373887240356083
lyAdverbCount8
lyAdverbRatio0.00791295746785361
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean10.51
std5.89
cv0.56
sampleLengths
022
116
220
33
44
516
612
712
87
917
1020
1118
122
134
1418
1516
1617
1715
189
195
2022
215
224
2311
249
2513
267
275
2815
295
3012
314
3217
337
349
356
368
378
3824
3922
407
4111
4217
4320
443
455
462
4713
483
4914
28.13% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats21
diversityRatio0.15625
totalSentences96
uniqueOpeners15
35.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences94
matches
0"Maybe the city's heart beat"
ratio0.011
32.77% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount44
totalSentences94
matches
0"She checked the leather face"
1"It was 02:14."
2"She didn't stumble; she didn't"
3"Her bearing was military precision"
4"She had no backup."
5"Her dispatch was jammed in"
6"She rounded the corner and"
7"It was locked, but the"
8"It was a mouth."
9"She gripped the gate, her"
10"It wasn't the usual smell"
11"It smelled of ozone and"
12"She peered over the edge."
13"She didn't have a torch."
14"She only had a standard"
15"She flipped it on."
16"She moved methodically, one step"
17"Her training screamed at her"
18"She reached the bottom of"
19"They were whispering."
ratio0.468
7.87% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount85
totalSentences94
matches
0"The rain didn't fall in"
1"Harlow Quinn pulled the collar"
2"She checked the leather face"
3"It was 02:14."
4"The time Morris disappeared."
5"A coincidence that tasted like"
6"Quinn broke into a run,"
7"She didn't stumble; she didn't"
8"Her bearing was military precision"
9"The suspect, a slender figure"
10"The shadow turned left, towards"
11"She had no backup."
12"Her dispatch was jammed in"
13"She rounded the corner and"
14"The station had been closed"
15"The grey duster figure was"
16"Harlow hit the iron gate."
17"It was locked, but the"
18"This wasn't a public station."
19"It was a mouth."
ratio0.904
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount6
totalSentences94
matches
0"Yet, there was a slither"
1"If this was the link—if"
2"If she stepped back out,"
3"If she stayed, she walked"
4"If she turned back, she"
5"If she stayed, she would"
ratio0.064
65.22% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount5
matches
0"Her bearing was military precision honed by the force of a grief that wouldn't let her sleep."
1"It was locked, but the chain hung loose, swinging slightly in the wind that seemed to originate from below rather than outside."
2"It wasn't the usual smell of mold and urine that characterized abandoned tubes."
3"The beam cut through the damp haze, illuminating dust motes that floated unnaturally, swirling against the airflow."
4"If this was the link—if the supernatural origins that had swallowed her partner were here in the earth below—she needed the truth."
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
76.6765%