Run: 2026-02-25-01KJBJVHEMZHSQKCCWBSJT81NY

Run Details

Duration:
26.8s
Cost:
$0.012834
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 in London did not wash things clean; it merely pressed the grime deeper into the pavement. Detective Harlow Quinn pulled her collar up, the damp wool scratching against the sharp line of her jaw. She checked her left wrist. The worn leather strap of her watch was slick with moisture, the face fogged just enough to blur the minute hand. Ten minutes past midnight. The clock was ticking, but not in the way her superiors liked to measure. Ahead, the figure in the dark coat darted between two parked vans, disappearing into the mouth of a derelict subway entrance. Quinn didn't hesitate. She moved with the military precision drilled into her over eighteen years of service, her boots finding purchase on the slick concrete. Her breath came in short, controlled bursts, white plumes vanishing instantly into the downpour. She wasn't running like a cop chasing a petty thief. She was running like a woman hunting a ghost. Three years ago, DS Morris had vanished in a similar alleyway, leaving only a smear of blood that didn't match any known blood type and a silence that still echoed in the precinct. Quinn had been told to let it go, to file the report under accidental death. She knew better. She knew the smell of ozone that clung to Morris's last radio transmission. She knew the way the shadows had lengthened toward him before he fell. The figure ahead paused at the top of the concrete stairs leading down into the abandoned Tube station beneath Camden. Quinn slowed, her hand resting instinctively near the holster at her hip. The suspect turned, just for a second. The streetlamp above flickered, casting a sickly yellow light that caught the olive skin of his face. A flash of dark curly hair, damp and clinging to his forehead. A glint of gold against his chest. A Saint Christopher medallion. Quinn's heart hammered against her ribs. She knew that symbol. It belonged to Tomás Herrera. The former paramedic who had vanished from the NHS registry after treating a patient who shouldn't have been alive. Quinn had suspected him for months, a loose thread in the tapestry of the clique she was trying to unravel. He was the support, the fixer, the man who kept the monsters walking upright. And now he was running from her. "Herrera!" Quinn shouted, her voice cutting through the drumming rain. He didn't answer. He turned and descended the stairs, vanishing into the gloom. Quinn followed. The air changed as she crossed the threshold of the station entrance. The smell of wet wool and diesel fumes evaporated, replaced by something older, metallic, and thick with the scent of sulfur and dried herbs. The rain stopped falling here, though she could still hear it drumming on the grates above. The walls of the station were no longer tiled in the standard white ceramic of the London Underground. They were rough-hewn stone, ancient and sweating with condensation. She reached the bottom of the stairs and stopped. The platform stretched out before her, but it wasn't empty. It was a market. Stalls made of scavenged wood and iron were draped in heavy cloths, illuminated by floating orbs of pale blue light that drifted like trapped jellyfish. People moved through the aisles—some human, some not. A creature with skin like polished obsidian bartered with a man in a suit that looked too clean for this place. Quinn's hand tightened on her service weapon. She knew the protocol. She knew the jurisdiction. She knew that stepping further into this space was a violation of every rule she had sworn to uphold. But the rules hadn't saved Morris. The rules had buried him. She scanned the crowd. Tomás was moving through the stalls, heading toward the far end of the platform where the tracks disappeared into a tunnel of absolute black. He stopped at a vendor's counter, leaning over to exchange something. Quinn watched from the shadows of the entrance pillar. The vendor held out a hand, palm up. Tomás placed something small and white into it. A bone token. The codex of her own investigation had whispered about the Veil Market. A hidden supernatural black market that moved locations every full moon. It sold enchanted goods, banned alchemical substances, and information that could topple governments or start wars. Entry required a toll. A piece of the dead. Tomás turned, his eyes scanning the shadows. He saw her. For a heartbeat, the tension in the air was palpable, a wire pulled tight. He didn't run. He just watched, his expression unreadable behind the damp curls. He touched the medallion at his throat, a silent acknowledgment, before turning back to the vendor. Quinn stepped out from the cover of the pillar. The sound of her boots on the stone echoed loudly in the cavernous space. Several heads turned. The floating lights dimmed slightly, as if the market itself was holding its breath. "Quinn," Tomás said. His voice was calm, carrying a Spanish cadence that seemed out of place in the damp English dark. "You shouldn't be here." "I know where you work," Quinn said, her voice steady. She didn't draw her weapon. Not yet. "I know about the treatments. I know about the patients who don't die." Tomás shook his head, a small, sad movement. "You think you're chasing a criminal. You're chasing a lifeline." "Morris was a lifeline," Quinn said, the name tasting like ash. "Where is he, Tomás?" Tomás looked at her, his warm brown eyes filled with a pity that made her blood boil. "You can't save him, Detective. Not here. And not with a badge." He turned away, walking deeper into the market, toward the dark tunnel where the tracks ended. He didn't look back. Quinn stood at the edge of the platform. The rain outside felt like a distant memory, a world away. Here, the air was heavy with magic and secrets. If she followed him, she crossed a line she couldn't uncross. She would be entering a jurisdiction the Metropolitan Police didn't exist in. She would be acknowledging the existence of the supernatural, the very thing her superiors denied. But Morris was down there. Or the truth of him was. She checked her watch again. The leather strap felt heavier now. She looked at the bone token lying on the vendor's counter, glowing faintly in the blue light. It was a key. A key to a door that shouldn't exist. Quinn holstered her weapon. She reached into her pocket and pulled out a small silver coin she had taken from a crime scene three years ago, a piece of evidence she had never logged. It wasn't a bone, but it was a piece of the dead. She stepped forward, placing it on the counter of the nearest stall. The vendor, a woman with eyes like milky glass, nodded once. Quinn moved past the stalls, into the deepening shadows of the tunnel. She didn't run this time. She walked with the same military precision that had gotten her this far, into the belly of the beast, leaving the world of rules and rain behind her. The market faded into the background, the whispers of the crowd dying away as she approached the darkness where Tomás had vanished. She was no longer just a detective. She was a hunter in a place where the prey had teeth. And she would not stop until she found out what happened to Morris, even if it meant she never came back up the stairs.
created_at"2026-02-25T23:41:25.337Z" 2/25/2026, 11:41:25 PM
model"qwen/qwen3.5-122b-a10b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency453
moderation_latency(null)
generation_time26681
tokens_prompt914
tokens_completion4303
native_tokens_prompt870
native_tokens_completion3902
native_tokens_completion_images(null)
native_tokens_reasoning2318
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"
usage0.0128344
router(null)
provider_responses
0
endpoint_id"33d466d1-d2f7-45ed-8ff3-fda7d2e32351"
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is_byokfalse
latency453
model_permaslug"qwen/qwen3.5-122b-a10b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772062885-NEDifVfosNrFbxktLI9Y"
upstream_id"chatcmpl-8a0fe831-7497-9c9b-a1bb-9b62903b0755"
total_cost0.0128344
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provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.444
leniency0.889
rawRatio0
effectiveRatio0
92.05% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1258
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"very"
count1
highlights
0"slightly"
1"very"
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)
44.36% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1258
totalAiIsms14
found
0
word"silence"
count1
1
word"echoed"
count2
2
word"flickered"
count1
3
word"glint"
count1
4
word"tapestry"
count1
5
word"unravel"
count1
6
word"gloom"
count1
7
word"standard"
count1
8
word"scanned"
count1
9
word"scanning"
count1
10
word"tension"
count1
11
word"palpable"
count1
12
word"unreadable"
count1
highlights
0"silence"
1"echoed"
2"flickered"
3"glint"
4"tapestry"
5"unravel"
6"gloom"
7"standard"
8"scanned"
9"scanning"
10"tension"
11"palpable"
12"unreadable"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"the air was heavy with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences109
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences109
filterMatches
0"watch"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1257
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1203
uniqueNames17
maxNameDensity1.33
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
London2
Harlow1
Quinn16
Morris5
Tube1
Camden1
Saint1
Christopher1
Tomás8
Herrera1
Underground1
Veil1
Market1
Spanish1
English1
Metropolitan1
Police1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Saint"
4"Christopher"
5"Tomás"
6"Herrera"
7"Police"
places
0"London"
globalScore0.835
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount1
matches
0"felt like a distant memory, a world awa"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1257
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences114
matches
0"knew that symbol"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean46.56
std29.29
cv0.629
sampleLengths
080
179
277
375
44
575
610
713
881
977
1045
1164
123
1348
1453
1540
1625
1730
1818
1915
2029
2120
2266
2311
2440
2569
26110
98.83% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences109
matches
0"been told"
1"were draped"
28.18% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs194
matches
0"was ticking"
1"was running"
2"was trying"
3"was running"
4"was holding"
92.73% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences114
ratio0.018
matches
0"The rain in London did not wash things clean; it merely pressed the grime deeper into the pavement."
1"People moved through the aisles—some human, some not."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1205
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.025726141078838173
lyAdverbCount10
lyAdverbRatio0.008298755186721992
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean11.03
std6.66
cv0.604
sampleLengths
018
118
25
321
44
514
621
73
822
914
1010
119
1233
1315
143
1513
1613
1720
1812
197
2017
2112
227
234
246
254
265
2719
2820
2914
307
3110
323
3310
342
3512
3624
3716
3818
399
409
4110
424
4325
448
4521
467
474
484
4919
34.21% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats18
diversityRatio0.2631578947368421
totalSentences114
uniqueOpeners30
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences106
matches(empty)
ratio0
61.51% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount42
totalSentences106
matches
0"She checked her left wrist."
1"She moved with the military"
2"Her breath came in short,"
3"She wasn't running like a"
4"She was running like a"
5"She knew better."
6"She knew the smell of"
7"She knew the way the"
8"She knew that symbol."
9"It belonged to Tomás Herrera."
10"He was the support, the"
11"He didn't answer."
12"He turned and descended the"
13"They were rough-hewn stone, ancient"
14"She reached the bottom of"
15"It was a market."
16"She knew the protocol."
17"She knew the jurisdiction."
18"She knew that stepping further"
19"She scanned the crowd."
ratio0.396
7.17% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount96
totalSentences106
matches
0"The rain in London did"
1"Detective Harlow Quinn pulled her"
2"She checked her left wrist."
3"The worn leather strap of"
4"The clock was ticking, but"
5"Quinn didn't hesitate."
6"She moved with the military"
7"Her breath came in short,"
8"She wasn't running like a"
9"She was running like a"
10"Quinn had been told to"
11"She knew better."
12"She knew the smell of"
13"She knew the way the"
14"The figure ahead paused at"
15"Quinn slowed, her hand resting"
16"The suspect turned, just for"
17"The streetlamp above flickered, casting"
18"A flash of dark curly"
19"A glint of gold against"
ratio0.906
47.17% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences106
matches
0"If she followed him, she"
ratio0.009
28.06% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
technicalSentenceCount9
matches
0"She knew the smell of ozone that clung to Morris's last radio transmission."
1"The streetlamp above flickered, casting a sickly yellow light that caught the olive skin of his face."
2"He was the support, the fixer, the man who kept the monsters walking upright."
3"Stalls made of scavenged wood and iron were draped in heavy cloths, illuminated by floating orbs of pale blue light that drifted like trapped jellyfish."
4"A hidden supernatural black market that moved locations every full moon."
5"It sold enchanted goods, banned alchemical substances, and information that could topple governments or start wars."
6"His voice was calm, carrying a Spanish cadence that seemed out of place in the damp English dark."
7"She looked at the bone token lying on the vendor's counter, glowing faintly in the blue light."
8"She walked with the same military precision that had gotten her this far, into the belly of the beast, leaving the world of rules and rain behind her."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount2
matches
0"Quinn shouted, her voice cutting through the drumming rain"
1"Quinn said, her voice steady"
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Quinn shouted (shout)"
dialogueSentences9
tagDensity0.444
leniency0.889
rawRatio0.25
effectiveRatio0.222
75.2162%