Run: 2026-02-25-01KJBEZKF24SJX6E17ZC3913XV

Run Details

Duration:
43.2s
Cost:
$0.009002
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 pavement of Camden High Street, turning the asphalt into a slick, black mirror that reflected the fractured neon of the city. Detective Harlow Quinn pulled her collar up against the wind, the damp cold seeping through her trench coat. She checked the worn leather watch on her left wrist. 2:14 AM. The hour of wolves and shadows. Her breath plumed in the air, sharp and ragged, but her stride remained a study in military precision. Eighteen years of service had carved the fatigue from her muscles, leaving only the engine of purpose. Ahead, a figure scrambled over a low brick wall near the entrance to the abandoned tube station. Tomás Herrera. The former paramedic moved with the desperate grace of a man who knew he was already caught. Quinn didn't shout. She didn't need to. The sound of her boots on the wet concrete was enough to tell him she was closing the gap. She could see the flash of silver at his throat, the Saint Christopher medallion swinging wildly against his olive skin. She had seen that scar on his left forearm in the files, a jagged white line from a knife attack that shouldn't have survived. Quinn drew her service weapon, the weight familiar and grounding in her grip. She wasn't here to arrest him for a traffic violation. She was here because the pattern matched. Three years ago, DS Morris had vanished in circumstances that made no sense. No body, no struggle, just a circle of scorched earth and a smell like ozone and rot. Now, the same scent clung to the air around this man. Herrera reached the iron grate that covered the station entrance. He fumbled with a key, his hands shaking. Quinn raised her voice, cutting through the drumming rain. "Herrera! Drop the weapon and turn around!" He didn't turn. He shoved the grate open and slipped inside the darkness of the tunnel. Quinn hesitated for a fraction of a second. Protocol dictated she secure the perimeter, call for backup, wait for the bomb squad if the intel suggested explosives. But the intelligence she had was thin, and the clock was ticking. Morris had died waiting for backup. Quinn holstered her weapon and stepped over the threshold. The air changed instantly. The smell of rain and exhaust vanished, replaced by something heavy and ancient, like wet stone and dried herbs. The silence of the street was swallowed by a low, thrumming vibration that seemed to come from the walls themselves. Quinn clicked on her tactical flashlight, the beam cutting through the gloom of the abandoned Camden station. It wasn't abandoned. Not really. The platform was lined with stalls, but they weren't made of wood or metal. They were constructed from woven shadows and materials that seemed to drink the light. Vendors stood behind counters, their faces obscured by hoods or masks that shifted shape. A woman with skin like polished obsidian weighed a jar of glowing blue liquid on a scale. A man with too many joints in his fingers counted coins that looked like teeth. This was the Veil Market. The black market that moved with the moon, selling banned alchemical substances and information that could burn a man's mind out. Quinn had heard rumors from the precinct, dismissed as urban legends until Morris died. Now, standing in the center of the platform, the rumors tasted like copper in her mouth. She moved forward, her boots echoing too loudly in the unnatural quiet. The vendors didn't look up. They knew she was there, and they knew she didn't belong. "Detective," a voice rasped. Quinn spun, the flashlight beam sweeping the crowd. Herrera was standing near a pillar, his back to her. He wasn't running anymore. He was waiting. "I told you to stop," Quinn said, her voice steady despite the adrenaline flooding her veins. "You're not authorized to be in this jurisdiction." "This isn't your jurisdiction, Quinn," Herrera said, turning slowly. The medallion at his neck caught the light, gleaming like a warning. "You don't have a bone token. You can't be here." Quinn looked at her hand. Empty. She had no token. The entry requirement was a piece of bone, carved with sigils, worn by those who belonged to the trade. She was a ghost in their machine. "I don't need a token to arrest a criminal." "You can't arrest what you don't understand," Herrera said. He stepped closer, the scar on his arm visible in the beam. "Morris didn't die because of a crime. He died because he saw the price tag on the wrong item." The mention of Morris stopped Quinn's heart for a beat. The sharp jaw of her face tightened, the muscles bunching. "Where is he?" "Gone," Herrera said softly. "But you're not. And if you stay, you won't be either." Quinn looked around the market. The shadows seemed to lengthen, reaching for her ankles. The air grew colder, biting through her coat. She realized then that the market wasn't just a place; it was a living thing, and it was hungry. She had come looking for a suspect, but she had walked into a trap. She could turn back. She could leave the grate open, radio for a tactical team, and burn this place down from the outside. But the image of Morris's empty desk flashed in her mind. The unexplained circumstances. The supernatural origins she refused to name out loud. If she left now, the trail went cold again. The truth about Morris would remain buried in the dark. She looked at Herrera. He wasn't fighting her. He was pitying her. That was worse. "I'm not leaving," Quinn said. Her voice was low, devoid of the doubt that clawed at her gut. "You'll die," Herrera warned. "I'm a detective," she replied, stepping past him, deeper into the throng of the market. "I don't die easy." She moved toward the center of the platform, where the light from the stalls dimmed to a bruised purple. The vendors parted for her, not out of respect, but out of fear. They knew she was a variable they couldn't calculate. A human with a gun and a grudge. Quinn kept her hand near her holster, her eyes scanning every shadow. She had crossed the line from lawman to intruder. There was no going back to the rain and the pavement. The Veil Market had claimed her attention, and now it would demand a price. She stopped before a stall draped in velvet that felt like skin. A figure sat behind it, faceless. On the counter lay a single object: a badge, tarnished and old. It looked like Morris's. Quinn reached out, her fingers trembling slightly. The leather watch on her wrist felt tight against her pulse. She was in the belly of the beast, and she was hungry for the truth. She picked up the badge. It was warm. "Who sent this?" she demanded, not looking at the figure. Herrera stepped up beside her, his voice barely a whisper. "The market doesn't send things, Quinn. It returns them." Quinn looked at the badge, then at the dark tunnel leading deeper into the earth. The decision was made. She wasn't leaving until she found out why Morris was here, and why the market wanted him back. She tucked the badge into her pocket and turned her flashlight toward the darkness ahead. The chase was over. The hunt had begun.
created_at"2026-02-25T22:33:44.17Z" 2/25/2026, 10:33:44 PM
model"qwen/qwen3.5-27b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency741
moderation_latency(null)
generation_time42951
tokens_prompt914
tokens_completion3956
native_tokens_prompt870
native_tokens_completion3642
native_tokens_completion_images(null)
native_tokens_reasoning2057
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"
usage0.0090018
router(null)
provider_responses
0
endpoint_id"f3f88554-0c22-4d57-973b-0dec948808e8"
id"chatcmpl-8ffa6bdc-8576-9329-b1cd-11862f4b5957"
is_byokfalse
latency741
model_permaslug"qwen/qwen3.5-27b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772058824-C2fGo6TFUYvlERRtb6IW"
upstream_id"chatcmpl-8ffa6bdc-8576-9329-b1cd-11862f4b5957"
total_cost0.0090018
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
88.89% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount1
adverbTags
0"Herrera said softly [softly]"
dialogueSentences18
tagDensity0.5
leniency1
rawRatio0.111
effectiveRatio0.111
83.88% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1241
totalAiIsmAdverbs4
found
0
adverb"really"
count1
1
adverb"slowly"
count1
2
adverb"softly"
count1
3
adverb"slightly"
count1
highlights
0"really"
1"slowly"
2"softly"
3"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)
43.59% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1241
totalAiIsms14
found
0
word"fractured"
count1
1
word"weight"
count1
2
word"familiar"
count1
3
word"silence"
count1
4
word"gloom"
count1
5
word"constructed"
count1
6
word"echoing"
count1
7
word"gleaming"
count1
8
word"variable"
count1
9
word"calculate"
count1
10
word"scanning"
count1
11
word"velvet"
count1
12
word"pulse"
count1
13
word"whisper"
count1
highlights
0"fractured"
1"weight"
2"familiar"
3"silence"
4"gloom"
5"constructed"
6"echoing"
7"gleaming"
8"variable"
9"calculate"
10"scanning"
11"velvet"
12"pulse"
13"whisper"
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
narrationSentences112
matches(empty)
79.08% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount3
narrationSentences112
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)
analyzedSentences121
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1241
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount1131
uniqueNames11
maxNameDensity1.5
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Camden2
High1
Street1
Harlow1
Quinn17
Herrera9
Saint1
Christopher1
Morris8
Veil2
Market2
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Morris"
6"Market"
places
0"Camden"
1"High"
2"Street"
globalScore0.748
windowScore0.667
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences78
glossingSentenceCount5
matches
0"vibration that seemed to come from the walls themselves"
1"materials that seemed to drink the light"
2"looked like teeth"
3"tasted like copper in her mouth"
4"felt like skin"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.806
wordCount1241
matches
0"not out of respect, but out of fear"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences121
matches
0"seen that scar"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean40.03
std27.95
cv0.698
sampleLengths
095
1106
271
334
416
554
660
75
874
956
1028
114
1225
1324
1431
1545
1640
1723
1815
1978
2042
2115
2218
234
2419
2595
2634
2741
2810
2919
3060
92.73% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences112
matches
0"was swallowed"
1"was lined"
2"were constructed"
3"was made"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount8
totalVerbs192
matches
0"was closing"
1"was ticking"
2"was standing"
3"wasn't running"
4"was waiting"
5"wasn't fighting"
6"was pitying"
7"wasn't leaving"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences121
ratio0.008
matches
0"She realized then that the market wasn't just a place; it was a living thing, and it was hungry."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1131
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.022104332449160036
lyAdverbCount10
lyAdverbRatio0.008841732979664015
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences121
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences121
mean10.26
std5.55
cv0.541
sampleLengths
024
118
210
32
46
518
617
717
82
917
103
114
1219
1320
1424
1513
1610
177
1813
1917
2011
2110
228
239
247
253
2613
278
2819
2912
306
319
324
3319
3420
3517
363
372
3814
3914
4014
4117
4215
435
4421
4514
4616
4712
485
4911
35.12% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats18
diversityRatio0.2809917355371901
totalSentences121
uniqueOpeners34
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences105
matches(empty)
ratio0
71.43% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences105
matches
0"She checked the worn leather"
1"Her breath plumed in the"
2"She didn't need to."
3"She could see the flash"
4"She had seen that scar"
5"She wasn't here to arrest"
6"She was here because the"
7"He fumbled with a key,"
8"He didn't turn."
9"He shoved the grate open"
10"It wasn't abandoned."
11"They were constructed from woven"
12"She moved forward, her boots"
13"They knew she was there,"
14"He wasn't running anymore."
15"He was waiting."
16"She had no token."
17"She was a ghost in"
18"He stepped closer, the scar"
19"She realized then that the"
ratio0.371
17.14% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount93
totalSentences105
matches
0"Detective Harlow Quinn pulled her"
1"She checked the worn leather"
2"The hour of wolves and"
3"Her breath plumed in the"
4"The former paramedic moved with"
5"Quinn didn't shout."
6"She didn't need to."
7"The sound of her boots"
8"She could see the flash"
9"She had seen that scar"
10"Quinn drew her service weapon,"
11"She wasn't here to arrest"
12"She was here because the"
13"Herrera reached the iron grate"
14"He fumbled with a key,"
15"Quinn raised her voice, cutting"
16"He didn't turn."
17"He shoved the grate open"
18"Quinn hesitated for a fraction"
19"Protocol dictated she secure the"
ratio0.886
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences105
matches
0"Now, the same scent clung"
1"Now, standing in the center"
2"If she left now, the"
ratio0.029
92.73% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences57
technicalSentenceCount4
matches
0"Rain hammered the pavement of Camden High Street, turning the asphalt into a slick, black mirror that reflected the fractured neon of the city."
1"The former paramedic moved with the desperate grace of a man who knew he was already caught."
2"The silence of the street was swallowed by a low, thrumming vibration that seemed to come from the walls themselves."
3"The black market that moved with the moon, selling banned alchemical substances and information that could burn a man's mind out."
13.89% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount2
matches
0"Quinn said, her voice steady despite the adrenaline flooding her veins"
1"she demanded, not looking at the figure"
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount2
fancyTags
0"Herrera warned (warn)"
1"she demanded (demand)"
dialogueSentences18
tagDensity0.444
leniency0.889
rawRatio0.25
effectiveRatio0.222
74.1351%