Run: 2026-09-02-01M1HA494GBGJ6PCP4NF926A8T

Run Details

Duration:
5m 56s
Cost:
$0.087574
Provider:
Alibaba

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The green neon of the Raven’s Nest had burned itself into Harlow Quinn’s retinas three miles and two missed intercepts ago. Now the man from the room behind the bookshelf ran ahead of her through Camden, his coat black with rain. “Police.” The word cut the street. He did not stop. Rain slicked the salt-and-pepper crop to her skull. She followed the slap of his shoes past a shuttered music stall, past bins stacked with empty beer crates. Her boots found grip on the white lines of a pedestrian crossing. Her stride kept the clipped measure of a parade ground. The worn leather watch on her left wrist rode up and pressed into the bone. He glanced back over his shoulder. Pale face. Wet mouth open. His eyes checked her distance, then the street ahead. A taxi horned and swerved. Harlow hit the bonnet with her palm, shoved herself round the front, and kept her feet. The horn stretched into a long bray behind her. “Unit Seven, foot pursuit near Camden High Street. Male, dark coat, carrying a leather satchel. He broke from the Raven’s Nest.” The radio spat rain noise and a broken reply. “Repeat, I need intercept at the old station.” No intercept. The man vaulted a low chain and cut through a bus queue. People shouted. An umbrella pole caught his sleeve and tore free. He used the stumble as a turn and vanished down a side passage. Harlow followed. The passage stank of old hops and hot rubber. Pipes dripped from a wall. A fire escape ladder hung too high to reach. At the far end, a strip of streetlight caught the white bone scarf at his neck. She ran with more force. Her lungs pulled cold air. Eighteen years on the job had taught her how to pace a chase, when to push, when to let a suspect make a mistake. This one made none. He chose gaps, cut angles, spared her no more than a glance. At the mouth of the passage, Camden High Street opened in glare and noise. A night bus groaned past, its windows fogged. The man ran against the traffic, threading between a delivery van and a black cab. Harlow crossed behind the van, close enough to feel the heat from its exhaust. He reached the old station entrance. She saw the broken roundel first, the faded tiles, the steel gate chained with a rusted loop that did not look rusted up close. A lantern hung beside it, though no bulb burned inside. The man stopped at the gate, chest working, and turned. “Go back.” Harlow drew her baton. Rain ran from the sharp line of her jaw into her brown eyes. “Metropolitan Police. On your knees.” He lifted a small white disc between thumb and finger. Bone. The surface carried a dark cut, like a crow’s foot. “You don’t want this.” “Drop it.” He did not drop it. He pressed the disc to the gate. The chain slid off. Rust flaked from it in dry pieces. The gate swung inward on silent hinges. Beyond it, stairs descended under a low arch. The tiles there were black and green, glazed in an old pattern that caught the streetlight and threw it back as something greener. Harlow closed the distance. Her hand came up to stop him, but the gate began to shut. She jammed the baton between the bars. Metal rang. The gate paused. A figure stood inside the arch. She had not seen him before. Tall, thin, dressed in a railwayman’s cap and a coat too old for the weather. His eyes took in her badge, her baton, the rain on her face. “Token.” Harlow pressed her warrant card against the bars. “Detective Harlow Quinn. Move aside.” His mouth did not change. “Bone or nothing.” Beyond him, the man in the dark coat took the first steps down. The leather satchel slapped his hip. His breath came steady. The fear had left him and gone into her. He cupped his mouth toward the lamps below. “Herrera. Open the side door.” A voice came up from the stairwell, warm with fatigue. “Bring the bag.” Harlow tightened her grip on the baton. “Who’s down there?” The gatekeeper answered with a tap of his gloved palm against the gate. “Token.” She heard the market before she understood it. Voices rose from the stairwell in a layered hum, some human, some not. Metal chimed against glass. Something large shifted in a cage and made the floorboards breathe. The smell came next: candle wax, wet stone, burnt sugar, copper. Her stomach turned at the sweetness. The gatekeeper held out one gloved palm. “Full moon. Last entry.” Above the clouds, the moon sat swollen and pale, pressing its shape through the rain. The Veil Market moved every full moon. She had read that in Morris’s notes. She had called it fantasy until the night his coat came back from the river without him and with that disc in the pocket. Her hand went to her coat. The token sat in the inner pocket where she kept it, wrapped in an evidence bag she had never logged. It felt colder than the rain. She knew the weight of it without taking it out. Bone, cut from something older than animal. The crow’s-foot mark had sat in her dreams for three years. The gatekeeper’s gaze dropped to her pocket. “You know the price of entry.” The man in the dark coat stopped halfway down the stairs. He looked back over his shoulder. The green light washed his face. “He’s got a clinic past the salt stalls. If you come down, you don’t get to stay clean.” Harlow’s jaw tightened. “Turn around.” He turned. A door opened below. Warm light spilled up the stairs and caught the edge of the satchel. For one second she saw what lay beyond the first landing: a row of stalls hung with lamps made from bottles, tables spread with teeth, coins, jars of pale fluid, a woman with a fox skull over her head weighing black powder on brass scales. Two men in oilskins dragged a trunk that thumped from inside. A silver Saint Christopher medallion flashed on a tray of surgical steel near the side door. A child’s voice came up from the crowd. “Fresh copper. Fresh copper.” No child stood there. The voice came from a birdcage at a stall, and the thing inside had too many joints. The radio at her shoulder came alive. “Unit Seven, confirm location.” Harlow keyed the mic without looking away from the gate. “Camden. Old station entrance.” “Stay there. Armed unit ten minutes out.” Ten minutes. The gate would not wait ten minutes. The market would fold itself into another hole beneath the city, and the man with the satchel would vanish into the same dark that had taken Morris. Her thumb found the edge of the token through the plastic. The gatekeeper lowered his hand. “Choose.” The man on the stairs reached the landing. He gave her a look of recognition. She thought of Morris’s empty desk. She thought of the way his wife had asked for something that made sense. She thought of the file on the clique, the names that kept circling the Raven’s Nest, the Veil Market, the clinic nobody licensed and nobody closed. Harlow pulled the evidence bag from her coat. The bone token sat inside it, white against rain-dark plastic. The gatekeeper’s eyes narrowed. “Where did you take that?” “From a dead man.” His mouth closed. She tore the bag open. The token touched her palm. The rain hissed against the gate. Below, the lamps bent sideways in a wind that carried no chill. The gate swung wider. Harlow stepped through.
created_at"2026-09-02T14:59:48.506Z" 9/2/2026, 2:59:48 PM
model"qwen/qwen3.8-max-20260803"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1649
moderation_latency(null)
generation_time355956
tokens_prompt1104
tokens_completion15204
native_tokens_prompt1103
native_tokens_completion14228
native_tokens_completion_images(null)
native_tokens_reasoning12521
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.087574
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788361188-9gGSesN0EtITFcBPw7y1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788361188-0Qx8S2lldNeiAgRinexv"
upstream_id"chatcmpl-db51cd43-d4af-99ad-8411-cc59cfbd8c6b"
provider_responses
0
endpoint_id"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id"chatcmpl-db51cd43-d4af-99ad-8411-cc59cfbd8c6b"
is_byokfalse
latency1649
model_permaslug"qwen/qwen3.8-max-20260803"
provider_name"Alibaba"
status200
total_cost0.087574
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1293
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
88.40% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1293
totalAiIsms3
found
0
word"stomach"
count1
1
word"weight"
count1
2
word"chill"
count1
highlights
0"stomach"
1"weight"
2"chill"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences124
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences124
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences149
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1293
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
98.72% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount1170
uniqueNames12
maxNameDensity1.03
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Raven2
Nest2
Harlow12
Quinn1
Camden2
High1
Street1
Veil2
Market2
Morris3
Saint1
Christopher1
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Market"
5"Morris"
6"Saint"
7"Christopher"
places
0"Camden"
1"High"
2"Street"
globalScore0.987
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1293
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences149
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs75
mean17.24
std18.53
cv1.075
sampleLengths
041
11
29
364
420
530
621
79
88
938
1041
1150
1251
136
1444
152
1617
175
1821
194
202
2112
2249
2329
2440
251
268
275
285
293
3032
318
325
3310
343
357
363
3713
381
398
4045
417
424
4353
446
4554
467
476
4823
4918
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences124
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs182
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences149
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1173
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.0068201193520886615
lyAdverbCount1
lyAdverbRatio0.0008525149190110827
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences149
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences149
mean8.68
std6.36
cv0.733
sampleLengths
021
120
21
35
44
58
619
712
810
915
106
112
123
139
145
1516
169
1721
189
198
202
2112
222
239
2413
252
269
275
289
2916
305
315
3224
334
3412
3514
368
3715
3814
396
4024
4110
4210
432
444
4513
465
4710
481
4910
50.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.348993288590604
totalSentences149
uniqueOpeners52
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences116
matches(empty)
ratio0
92.41% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount37
totalSentences116
matches
0"He did not stop."
1"She followed the slap of"
2"Her boots found grip on"
3"Her stride kept the clipped"
4"He glanced back over his"
5"His eyes checked her distance,"
6"He used the stumble as"
7"She ran with more force."
8"Her lungs pulled cold air."
9"He chose gaps, cut angles,"
10"He reached the old station"
11"She saw the broken roundel"
12"He lifted a small white"
13"He did not drop it."
14"He pressed the disc to"
15"Her hand came up to"
16"She jammed the baton between"
17"She had not seen him"
18"His eyes took in her"
19"His mouth did not change."
ratio0.319
24.66% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount101
totalSentences116
matches
0"The green neon of the"
1"The word cut the street."
2"He did not stop."
3"Rain slicked the salt-and-pepper crop"
4"She followed the slap of"
5"Her boots found grip on"
6"Her stride kept the clipped"
7"The worn leather watch on"
8"He glanced back over his"
9"His eyes checked her distance,"
10"A taxi horned and swerved."
11"Harlow hit the bonnet with"
12"The horn stretched into a"
13"The radio spat rain noise"
14"The man vaulted a low"
15"An umbrella pole caught his"
16"He used the stumble as"
17"The passage stank of old"
18"Pipes dripped from a wall."
19"A fire escape ladder hung"
ratio0.871
43.10% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences116
matches
0"Now the man from the"
ratio0.009
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
technicalSentenceCount3
matches
0"The tiles there were black and green, glazed in an old pattern that caught the streetlight and threw it back as something greener."
1"She thought of the way his wife had asked for something that made sense."
2"She thought of the file on the clique, the names that kept circling the Raven’s Nest, the Veil Market, the clinic nobody licensed and nobody closed."
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
89.9357%