Run: 2026-02-25-01KJBK7RHQC4MR0ZWVFEFWVVVV

Run Details

Duration:
41.9s
Cost:
$0.002135
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 fell in sheets, a relentless curtain of cold that hammered against the asphalt of Camden. Harlow Quinn did not slow her pace. At forty-one, her body moved with the military precision of eighteen years of service, though the ache in her knees betrayed the weariness of the long chase. She pulled the collar of her trench coat higher, her brown eyes scanning the shadows between the flickering streetlamps. Her closely cropped salt-and-pepper hair was plastered to her scalp, and the sharp line of her jaw was set tight against the biting wind. She had not lost the target. She could hear the heavy breathing of the suspect ahead, muffled by the downpour, and the wet slap of boots against puddles. The man was fast, but he was running on instinct. She was running on training. Two blocks back, the distinctive green neon sign of The Raven’s Nest had blinked above the entrance in Soho, a dying eye in the gloom. That had been the turning point. The suspect had ducked past the bars before Harlow could reach the door, slipping into the labyrinth of the Underground tunnels that ran beneath the historic streets. She had followed without hesitation, but now the geography shifted, becoming less familiar. Ahead, the concrete wall of an abandoned Tube station loomed through the mist. There was no sign of the train. No schedule. Just a heavy iron grate set into the darkness, and the suspect was already gone. Harlow skidded to a halt, her boots splashing in a deep pool of water at her feet. She checked her worn leather watch on her left wrist. The second hand ticked, a metronome in the silence. She moved to the grate. It was locked, or so it appeared, but the metal was cold to the touch, unnaturally so. There was a faint, unnatural hum vibrating through the bars. She pressed her ear against the mesh. Muffled voices, not the rough tones of street vendors or drifters, but something melodic, strange. She pulled her hand away from the wet metal and wiped the grime from her eyes. The suspect had gone down there. She didn’t hesitate. Her grip tightened on her service pistol, the grip worn smooth by years of handling. She found the release latch hidden in the rust, her fingers stiff, and pushed the grating aside. It gave way with a screech that echoed too loudly in the empty street. She dropped through the opening before she could second-guess the decision. The smell hit her first. It was not the stench of sewage or old train tracks, but something sharper. Incense, ozone, and dried herbs. The air was warm and still, lacking the chill of the London night. The light here was not electric but bioluminescent, glowing from moss-like clusters on the station walls. She stood at the top of a stairwell that wound deep into the earth. She descended slowly, her boots silent on the stone steps. This was not a place for the Metropolitan Police. This was the Veil Market. Her training screamed at her to call for backup, to wait for a warrant, but the image of her partner, DS Morris, flashed in her mind. He had walked into the dark on a case like this three years ago and never walked out. The circumstances had been unexplained, supernatural, things she did not understand and had been ordered to ignore. At the bottom of the stairs, the scene unfolded. It was a black market, hidden beneath the city, a hub for the things the law could not touch. Stalls lined the tunnel, draped in velvet and shadow. Vendors displayed things that shouldn't exist: jars of glowing fluids, books bound in skin, weapons etched with runes. She saw him. He had not vanished. He was waiting at the other end of the walkway, near a stall draped in dark blue cloth. Tomás Herrera leaned against a crate of wooden boxes, his arms crossed over his chest. In the eerie green light, his olive skin looked almost luminescent. He wore a leather coat that offered little protection from the cold, but he did not shiver. Harlow recognized him from the surveillance logs, but seeing him alive and standing in the flesh was another matter. He looked tired, his short curly dark brown hair wet from the rain he had not escaped, but his warm brown eyes held a sharp awareness. A silver Saint Christopher medallion hung from his neck, glinting in the dim light. Harlow holstered her gun slowly. She knew she couldn't just shoot him here. If she fired shots, the echoes would bring things she couldn't fight. Tomás stepped forward, his hands open. He had a scar running along his left forearm from a knife attack, pale against his skin. He stopped ten feet away. Detective Quinn, he said. His voice was low, carrying easily in the stillness. You made it to the edge. I made it to the threshold, Tomás. You know who I am. You are the one who lost Morris, he said. He didn't sound sorry. He sounded resigned. You lost him too. That is why I am here. To put me in a cell? The Veil Market hummed in the background. The vendors were silent, watching the confrontation with a hunger that was not human. Tomás shifted his weight. The bone token hung from his pocket, the entry requirement for this place. He was the doorkeeper. I have a suspect in custody who is responsible for the deaths in Chelsea, Harlow said. She took a step forward. Her muscles tightened, ready to move. The supernatural origins of the case still didn't make sense to her, but the blood on the streets did. And I am the witness, Tomás said softly. I am the one who can make the case stick if you walk out. If you walk in, Quinn, you become part of it. He gestured to the stalls behind him. The shadows seemed to shift, stretching and contorting. The place breathed. The air tasted of static electricity. She could feel her own heartbeat hammering against her ribs. The weight of the decision pressed down on her. To step past the line into the supernatural was to risk the life she had. To leave him here was to let the truth rot in the dark where it belonged. She tapped the watch on her wrist. The hands moved steadily. You want the bone token? he asked. He held it up. It looked like a clean rib, polished to an ivory gleam. I do not need it to arrest you, Tomás. But you need access. She looked at him. His eyes were calm. He knew the stakes. She knew the risks. The market behind him whispered of powers that could kill her, or save her. Morris was gone because she had hesitated. Because she had chosen to believe the official report. Harlow holstered her weapon fully, the click loud in the silence. She stepped forward, leaving the gun behind. She took the bone token from Tomás's open palm. It was cold, like a grave stone. She walked past him. She walked past the stalls that offered knowledge and death for a price. She walked into the market to face the monsters she hunted, so that she could bring the men she knew to justice. The rain from the surface was forgotten. The city above was gone. There was only the dark, the market, and the choice she had made.
created_at"2026-02-25T23:48:05.821Z" 2/25/2026, 11:48:05 PM
model"qwen/qwen3.5-flash-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency475
moderation_latency(null)
generation_time41796
tokens_prompt914
tokens_completion5568
native_tokens_prompt870
native_tokens_completion5121
native_tokens_completion_images(null)
native_tokens_reasoning3559
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"
usage0.0021354
router(null)
provider_responses
0
endpoint_id"5f6b71b5-8672-4b27-8b2d-f674429f9e63"
id"chatcmpl-820866a5-7f35-947b-9a60-5a0054176719"
is_byokfalse
latency475
model_permaslug"qwen/qwen3.5-flash-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772063285-quLEUEHJOQ0IKRp2ELs5"
upstream_id"chatcmpl-820866a5-7f35-947b-9a60-5a0054176719"
total_cost0.0021354
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
88.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1251
totalAiIsmAdverbs3
found
0
adverb"slowly"
count2
1
adverb"softly"
count1
highlights
0"slowly"
1"softly"
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)
32.05% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1251
totalAiIsms17
found
0
word"scanning"
count1
1
word"gloom"
count1
2
word"familiar"
count1
3
word"loomed"
count1
4
word"silence"
count2
5
word"echoed"
count1
6
word"chill"
count1
7
word"electric"
count1
8
word"velvet"
count1
9
word"etched"
count1
10
word"glinting"
count1
11
word"echoes"
count1
12
word"weight"
count2
13
word"could feel"
count1
14
word"grave"
count1
highlights
0"scanning"
1"gloom"
2"familiar"
3"loomed"
4"silence"
5"echoed"
6"chill"
7"electric"
8"velvet"
9"etched"
10"glinting"
11"echoes"
12"weight"
13"could feel"
14"grave"
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
narrationSentences119
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences119
filterMatches
0"watch"
1"know"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences119
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1251
ratio0
matches(empty)
0.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions3
matches
0"Detective Quinn, he said."
1"You are the one who lost Morris, he said."
2"I have a suspect in custody who is responsible for the deaths in Chelsea, Harlow said."
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions42
wordCount1251
uniqueNames20
maxNameDensity0.56
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Tomás"
discoveredNames
Camden1
Quinn3
Raven1
Nest1
Soho1
Harlow7
Underground1
Tube1
London1
Metropolitan1
Police1
Veil2
Market2
Morris3
Herrera1
Saint1
Christopher1
Tomás7
Chelsea1
You5
persons
0"Quinn"
1"Raven"
2"Nest"
3"Harlow"
4"Underground"
5"Market"
6"Morris"
7"Herrera"
8"Saint"
9"Christopher"
10"Tomás"
11"Chelsea"
12"You"
places
0"Soho"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences88
glossingSentenceCount1
matches
0"looked like a clean rib, polished to an i"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches4
per1kWords3.197
wordCount1251
matches
0"not the rough tones of street vendors or drifters, but something melodic, strange"
1"not the stench of sewage or old train tracks, but something sharper"
2"not electric but bioluminescent, glowing from moss-like clusters on the stati"
3"not escaped, but his warm brown eyes held a sharp awareness"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences119
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean43.14
std27.95
cv0.648
sampleLengths
094
143
271
373
470
56
660
767
885
955
1025
11102
1225
1328
1419
1512
1616
1710
1848
1946
2032
2174
2211
2322
249
254
2646
2734
2864
90.52% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences119
matches
0"was plastered"
1"been unexplained"
2"been ordered"
3"was gone"
4"was forgotten"
5"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs212
matches
0"was running"
1"was running"
2"was waiting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences119
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1255
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.022310756972111555
lyAdverbCount11
lyAdverbRatio0.008764940239043825
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences119
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences119
mean10.51
std6.11
cv0.581
sampleLengths
017
17
227
319
424
56
622
710
85
925
106
1127
1213
1313
147
152
1615
1717
1810
199
205
2117
2210
237
2415
2516
266
273
2815
2917
3014
3111
325
3314
345
3513
3616
3714
3810
399
405
4126
4218
4317
449
4519
469
4718
483
494
35.71% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.2605042016806723
totalSentences119
uniqueOpeners31
28.49% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences117
matches
0"Just a heavy iron grate"
ratio0.009
14.87% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount60
totalSentences117
matches
0"She pulled the collar of"
1"Her closely cropped salt-and-pepper hair"
2"She had not lost the"
3"She could hear the heavy"
4"She was running on training."
5"She had followed without hesitation,"
6"She checked her worn leather"
7"She moved to the grate."
8"It was locked, or so"
9"She pressed her ear against"
10"She pulled her hand away"
11"She didn’t hesitate."
12"Her grip tightened on her"
13"She found the release latch"
14"It gave way with a"
15"She dropped through the opening"
16"It was not the stench"
17"She stood at the top"
18"She descended slowly, her boots"
19"Her training screamed at her"
ratio0.513
36.92% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount99
totalSentences117
matches
0"The rain fell in sheets,"
1"Harlow Quinn did not slow"
2"She pulled the collar of"
3"Her closely cropped salt-and-pepper hair"
4"She had not lost the"
5"She could hear the heavy"
6"The man was fast, but"
7"She was running on training."
8"That had been the turning"
9"The suspect had ducked past"
10"She had followed without hesitation,"
11"Harlow skidded to a halt,"
12"She checked her worn leather"
13"The second hand ticked, a"
14"She moved to the grate."
15"It was locked, or so"
16"She pressed her ear against"
17"She pulled her hand away"
18"The suspect had gone down"
19"She didn’t hesitate."
ratio0.846
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount6
totalSentences117
matches
0"If she fired shots, the"
1"To put me in a"
2"If you walk in, Quinn,"
3"To step past the line"
4"To leave him here was"
5"Because she had chosen to"
ratio0.051
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount2
matches
0"Vendors displayed things that shouldn't exist: jars of glowing fluids, books bound in skin, weapons etched with runes."
1"She walked past the stalls that offered knowledge and death for a price."
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
80.8861%