Run: 2026-02-25-01KJBKF9S4SF5DGWKE3RK78TV5

Run Details

Duration:
29.4s
Cost:
$0.007295
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 hammered the asphalt of Soho, a relentless drumming that blurred the edges of the world into grey smears. Detective Harlow Quinn did not notice the cold, not anymore. It had seeped into her bones three years ago when the body of DS Morris had been found in that alley, a stain on the pavement that never fully washed out, even after the official report called it a fall. Her breath came in short, white plumes that vanished instantly into the dark. She kept her head low, her cropped salt-and-pepper hair plastered against her scalp, the leather strap of her watch chafing against her left wrist. She had been close. Too close. Ahead, a figure cut through the shadows. Tall, built with the economy of motion that comes from emergency work, a paramedic’s gait without the urgency. The suspect slipped past a lamppost, the dim flicker catching the glint of a silver Saint Christopher medallion around his neck. Tomás Herrera. Formerly of the NHS, now running from the law. Or running to something worse. Quinn broke into a run. Her boots slammed against the wet pavement, military precision keeping her rhythm even as the city labyrinth stretched around her. She needed to get to Camden. The intel had been thin, a single note slipped under her door that morning pointing her toward an abandoned Tube station beneath the district. If the clique was using the Veil Market, Herrera was the bridge. He provided care for them off the books, paid in cash that vanished from bank records. The chase tore through the streets of Camden, the neon glow of the city reflecting in the puddles like spilled paint. Quinn’s heart rate didn’t spike; she controlled it. Training had stripped her of the panic that might have consumed her partner. But as the familiar scent of rot and damp concrete hit her nose, something else rose up, primal and ancient. She found the entrance hidden behind a row of boarded-up shops on a blind alley. There was no sign, just a heavy steel door that looked older than the station itself. Herrera had gone through it seconds before. Quinn skidded to a halt at the threshold. She drew her service weapon, the cold steel reassuring against her palm. She checked the chamber. Locked. She looked at the door. It was locked from the outside, but the handle was warm. Too warm. She hadn't seen Herrera touch a keycard or enter a code. He had simply placed his hand on the metal, and the seam had vanished into the brickwork. The Veil. The rain lashed harder against her face. Down there, the air felt heavier, pressurized. Quinn knew the rules of the streets. You broke in, you made noise, you followed procedure. But procedure didn't cover this. It didn't cover the way the shadows seemed to stretch toward her, inviting her down, whispering of things that Morris had chased into the dark before he died. She could hear the faint hum of machinery down there, the distant murmur of voices speaking in tongues that didn't quite match the rhythm of the city above. She could turn around. She could call for backup, request a tactical team, file a warrant for the building. But warrants were for things you could define, and she couldn't define what lay beneath the surface. Morris had spent three years chasing ghosts, and in the end, the evidence had been dismissed as mass hysteria. If she turned back, she became the partner he never was. Herrera was inside. She could see the faint glow of light filtering through the grating of the station stairs, a sickly amber that pulsed like a heartbeat. If he was down there, the clique was in motion. The bone token requirement hung in her mind, a piece of gossip from a wiretap three weeks ago. The market only admitted those with a specific key. If she was forced to break through, she risked triggering something unseen. Quinn took a step forward. Her finger tightened on the trigger. The leather of her watch strap felt tight against her pulse. Down here, the smell changed. Rain turned into sulfur and ozone. It smelled of old blood and wet earth. She had to make the choice. To stay on the safe, legal side of the law, or to step into the unknown where her partner had vanished. She looked at the door. It was a mouth opening wide. If she went in, she left the rules of the Met behind. No badge meant nothing here, just as no uniform meant she was nothing. Just another face in the dark. But she had come too far to turn back now. She had seen the medallion flash in the dark, and she had smelled the fear on him as he ran. He wasn't running from her. He was running toward it. Quinn holstered her weapon. She didn't have a bone token. She didn't need one. She needed a warrant to get in, and she didn't have time for paperwork. She reached out, her hand trembling slightly, and gripped the cold iron of the door handle. It was warm. She turned it. The mechanism gave way with a wet click. The door swung inward, releasing a gust of air that smelled of incense and rotting flowers. It was a stark contrast to the rain-soaked night above. The corridor below was lit by torches fixed into the walls, casting long, dancing shadows that seemed to reach for her boots. She could hear footsteps echoing down the tunnel, the heavy tread of men in boots, the soft shuffle of others. She knew what she had to do. She could feel the weight of the investigation pressing down on her, the weight of her past. Morris wasn't here, but his absence was a ghost in her pocket, a weight she carried every day. Quinn stepped across the threshold. The rain stopped hammering her back. The silence was absolute, save for the distant hum of the market. She moved forward, her boots silent on the tiled floor, the sharp line of her jaw set in stone. There was no going back now. The line had been drawn, and she was on the wrong side.
created_at"2026-02-25T23:52:12.841Z" 2/25/2026, 11:52:12 PM
model"qwen/qwen3.5-35b-a3b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency536
moderation_latency(null)
generation_time29298
tokens_prompt914
tokens_completion3874
native_tokens_prompt870
native_tokens_completion3539
native_tokens_completion_images(null)
native_tokens_reasoning2249
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"
usage0.0072955
router(null)
provider_responses
0
endpoint_id"48c1210f-b7d2-4688-a340-f7424fc99d2b"
id"chatcmpl-4e792f4b-216a-9afb-8171-80cff3e84422"
is_byokfalse
latency535
model_permaslug"qwen/qwen3.5-35b-a3b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772063532-rxwZWhJyporWZUXGXAGM"
upstream_id"chatcmpl-4e792f4b-216a-9afb-8171-80cff3e84422"
total_cost0.0072955
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
95.20% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1041
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)
32.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1041
totalAiIsms14
found
0
word"flicker"
count1
1
word"glint"
count1
2
word"familiar"
count1
3
word"pulsed"
count1
4
word"pulse"
count1
5
word"stark"
count1
6
word"dancing"
count1
7
word"footsteps"
count1
8
word"echoing"
count1
9
word"could feel"
count1
10
word"weight"
count3
11
word"silence"
count1
highlights
0"flicker"
1"glint"
2"familiar"
3"pulsed"
4"pulse"
5"stark"
6"dancing"
7"footsteps"
8"echoing"
9"could feel"
10"weight"
11"silence"
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
narrationSentences92
matches(empty)
80.75% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences92
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)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1041
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount1041
uniqueNames12
maxNameDensity0.77
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn8
Morris4
Saint1
Christopher1
Herrera5
Camden2
Tube1
Veil2
Market1
Met1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Saint"
4"Christopher"
5"Herrera"
6"Market"
places
0"Soho"
1"Camden"
globalScore1
windowScore1
77.54% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount2
matches
0"quite match the rhythm of the city above"
1"shadows that seemed to reach for her boots"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1041
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences92
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean49.57
std28.22
cv0.569
sampleLengths
0106
16
262
383
462
538
643
730
891
966
103
1173
1222
1346
1411
1571
1644
176
1856
1962
2060
86.19% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences92
matches
0"been found"
1"been dismissed"
2"was forced"
3"was lit"
4"been drawn"
77.30% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs163
matches
0"was using"
1"wasn't running"
2"was running"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences92
ratio0.011
matches
0"Quinn’s heart rate didn’t spike; she controlled it."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1045
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.01818181818181818
lyAdverbCount7
lyAdverbRatio0.0066985645933014355
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean11.32
std7.27
cv0.642
sampleLengths
019
110
240
313
424
54
62
77
818
921
102
119
125
135
1420
156
1624
1712
1816
1921
208
2113
2220
2315
2416
257
268
2712
284
291
305
3111
322
3311
3417
352
367
377
387
399
405
4128
4228
434
4415
4517
4619
4711
483
4924
34.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.2826086956521739
totalSentences92
uniqueOpeners26
76.63% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences87
matches
0"Formerly of the NHS, now"
1"Just another face in the"
ratio0.023
40.69% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences87
matches
0"It had seeped into her"
1"Her breath came in short,"
2"She kept her head low,"
3"She had been close."
4"Her boots slammed against the"
5"She needed to get to"
6"He provided care for them"
7"She found the entrance hidden"
8"She drew her service weapon,"
9"She checked the chamber."
10"She looked at the door."
11"It was locked from the"
12"She hadn't seen Herrera touch"
13"He had simply placed his"
14"You broke in, you made"
15"It didn't cover the way"
16"She could hear the faint"
17"She could turn around."
18"She could call for backup,"
19"She could see the faint"
ratio0.448
86.44% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences87
matches
0"Detective Harlow Quinn did not"
1"It had seeped into her"
2"Her breath came in short,"
3"She kept her head low,"
4"She had been close."
5"The suspect slipped past a"
6"Quinn broke into a run."
7"Her boots slammed against the"
8"She needed to get to"
9"The intel had been thin,"
10"He provided care for them"
11"The chase tore through the"
12"Quinn’s heart rate didn’t spike;"
13"Training had stripped her of"
14"She found the entrance hidden"
15"Herrera had gone through it"
16"Quinn skidded to a halt"
17"She drew her service weapon,"
18"She checked the chamber."
19"She looked at the door."
ratio0.747
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount6
totalSentences87
matches
0"If the clique was using"
1"If she turned back, she"
2"If he was down there,"
3"If she was forced to"
4"To stay on the safe,"
5"If she went in, she"
ratio0.069
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount2
matches
0"He provided care for them off the books, paid in cash that vanished from bank records."
1"She could hear the faint hum of machinery down there, the distant murmur of voices speaking in tongues that didn't quite match the rhythm of the city above."
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
89.6089%