Run: 2026-04-27-01KQ770NJ2DW4WGHZSGNSSAPAE

Run Details

Duration:
3m 32s
Cost:
$0.050220
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
Rain hammered the pavement of Camden High Street. Water cascaded from wrought iron railings and flooded the gutters. Harlow Quinn’s boots struck the wet stone in measured rhythm. Eighteen years of Metropolitan procedure carved that cadence into her bones. Rain dripped from her closely cropped salt-and-pepper hair, stung her brown eyes, tracked down the sharp line of her jaw. She kept her left wrist angled forward. The worn leather strap of her watch clung tight, the face fogged but still ticking. Three years since Morris walked into a warehouse and left behind only a radio and a file full of impossible photographs. She would not let this one slip into the dark. The figure ahead cut through a deep puddle. Spray caught the orange glow of a streetlamp. Olive skin flashed under a soaked canvas jacket. Short curly dark brown hair plastered to a narrow skull. He vaulted a rusted bicycle rack, landed hard, kept moving. Met Police. Stop running. His shoulder clipped an overflowing bin. Glass shattered across the cobbles. He did not look back. Quinn closed the distance. Her lungs burned. She tracked his footing, anticipated the slip on the wet stone, adjusted her stride. He darted left into a narrow service lane. Brick walls swallowed the street noise. The rain fell harder, drumming against corrugated iron roofs. You’re done, Herrera. Hands where I can see them. He spun, back pressed against damp brick. Chest heaving. Rainwater traced the ridge of a scar running down his left forearm. A silver chain slipped from his collar. A Saint Christopher medallion caught the weak light. His warm brown eyes locked onto hers. No surrender in them. Just calculation. You’re out of your jurisdiction, Detective. I’m out of patience. Step away from the drain cover. His boot heels scraped metal. He dropped to one knee, fingers working at a rusted grate. Muscles corded in his neck. The medallion swung against his sternum. Morris asked the same questions. Look where that got him. Quinn’s jaw tightened. Her hand went to her belt. Cold rain slicked the leather holster. Don’t speak his name. Stand up. The grate gave way with a shriek of corroded iron. Black air rushed up, smelling of ozone and wet stone. He slid into the gap, boots disappearing into the dark. Quinn reached the opening. Iron rungs descended into pitch. Water cascaded down the shaft. She gripped the top rung. Metal bit into her palms. She lowered herself, boots finding purchase, descending with mechanical precision. The street noise faded. Damp cold clung to her coat. Her watch ticked against her wrist. Three minutes down. The ladder ended on a cracked concrete platform. Flickering light bled from an arched tunnel ahead. Broken tiles spelled out Camden Town in faded blue. The abandoned station breathed. Stale air mixed with something sweeter. Burnt copper. Crushed herbs. Hot oil. Footsteps echoed ahead. Fast. Deliberate. Quinn drew her weapon. The steel felt heavy, familiar. She moved along the platform, shoulders brushing peeling advertisements. Water dripped from rusted pipes. The tunnel opened into a vast concourse. The Veil Market sprawled across the old ticket hall. Makeshift stalls cobbled together from scaffolding and salvaged train doors crowded the space. Lanterns hung from frayed wires, casting long shadows over crates and tarpaulins. Figures moved through the aisles. Cloaks, tailored suits, faces hidden behind porcelain masks and surgical gauze. A woman bartered over a jar of iridescent fluid. A man with filed teeth weighed silver dust on a brass scale. No one looked at the stairs. No one cared about the rain above. The market moved with the full moon, and tonight it sat beneath Camden, trading in things that never saw daylight. Herrera stood twenty paces ahead, chest still heaving, water dripping from his jacket onto the cracked mosaic floor. He wiped rain from his eyes, scanned the crowd, then turned back toward the entrance. Toward her. You followed. I don’t stop. You should. He stepped backward, crossing a threshold marked by a line of crushed white chalk. The air shimmered. A low hum vibrated through the soles of Quinn’s boots. Two figures materialised from the shadows flanking the entrance. Tall. Shoulders broad under waxed canvas coats. Faces obscured by carved wooden visors. One held out a palm. Pale. Calloused. Waiting. Herrera reached into his pocket. Pulled a small object. Tossed it to the guard. Bone. Carved into a disc, etched with interlocking circles. The guard closed his fingers over it. Nodded. The barrier dropped. The hum faded. Token or turn back, Detective. Herrera’s voice carried over the market din. He did not smile. He just watched her. The medallion rested against his collarbone. The scar on his forearm gleamed under the lantern light. Quinn lowered her weapon an inch. Her thumb rested on the safety. Rainwater pooled around her boots. The market stretched behind him. A labyrinth of unknown faces, unregistered transactions, things that did not belong in any evidence locker. Morris’s file flashed in her mind. Photographs of symbols drawn in blood. Witness statements that contradicted physics. A partner who walked into a room and never walked out. She checked her watch. The leather strap creaked. The second hand swept past the twelve. You think a piece of carved calcium stops me. It stops everyone. That’s the point. Herrera took another step back. The crowd swallowed his shoulders. A vendor shouted a price for vials of black liquid. A child with silver eyes dragged a wooden cart past a stall stacked with dried roots and rusted blades. The guards remained still. Wooden faces turned toward Quinn. Palms still open. She holstered her weapon. The click echoed in the damp air. Her hand went to her coat pocket. Fingers brushed cold metal. A standard issue warrant card. Useless here. She pushed past it. Found a folded piece of paper. A sketch Morris left on his desk the night he disappeared. A circle. A line. A bone. She pulled it out. Paper softened by rain and time. She held it up. The guard on the left tilted his head. Fingers twitched. That’s not currency. It’s a down payment. Herrera’s laugh cut through the stalls. Sharp. Tired. You’re buying a grave, Quinn. I’m buying answers. She stepped forward. Water dripped from her coat onto the chalk line. The guards did not move. The market noise dipped. Lanterns flickered. The hum returned, low and steady, pressing against her ribs. She kept her shoulders square. Military precision. Eighteen years of procedure warred with the sheer wrongness of the air in her lungs. She did not blink. Move aside. The guard’s palm remained open. Bone or nothing. The rules etched into the concrete. The Veil Market did not bend for badges. It did not care about Metropolitan protocol. It demanded entry. It demanded risk. Quinn’s fingers closed around the sketch. She tore it in half. Let the pieces fall into the puddle at her feet. Ink bled into the water. She reached into her other pocket. Pulled out a small evidence bag. Inside sat a fragment of white material. Recovered from the alley where Morris’s radio went silent. Never logged. Never submitted. She kept it for three years. Waited for a place that might recognise it. She ripped the plastic open. Dropped the fragment into the guard’s waiting hand. The guard’s fingers closed. He brought it to his wooden visor. Sniffed. Nodded once. The chalk line broke. The hum dissolved. The market opened. Herrera watched her cross the threshold. His jaw tightened. He turned and vanished into the aisles. Quinn stepped onto the cracked mosaic. The air thickened. Smells of iron and crushed petals clung to her coat. Stalls pressed in on both sides. A woman with glass beads woven into her braids offered a tray of polished teeth. A man in a bloodstained apron sharpened a curved blade on a whetstone. No one reached for her. No one ran. They just made space. She adjusted her grip on her holster. Kept her eyes on the back of Herrera’s jacket. The crowd shifted. Lantern light caught the Saint Christopher medallion one last time before he ducked behind a stall draped in heavy velvet. Quinn moved forward. Boots silent on the wet stone. She reached the velvet drape. Pulled it aside.
created_at"2026-04-27T10:16:01.867Z" 4/27/2026, 10:16:01 AM
model"qwen/qwen3.6-max-preview-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1160
moderation_latency(null)
generation_time211599
tokens_prompt1140
tokens_completion7085
native_tokens_prompt1065
native_tokens_completion6261
native_tokens_completion_images(null)
native_tokens_reasoning4375
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"
usage0.0502203
router(null)
provider_responses
0
endpoint_id"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id"chatcmpl-714f82be-10e2-98b2-8ebf-e4c827be723a"
is_byokfalse
latency1160
model_permaslug"qwen/qwen3.6-max-preview-20260420"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777284961-XA66fiDv5GJfcNOKLofV"
session_id(null)
api_type"completions"
id"gen-1777284961-Tc99EmE5SRpMzPCPAEJp"
upstream_id"chatcmpl-714f82be-10e2-98b2-8ebf-e4c827be723a"
total_cost0.0502203
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)

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)
wordCount1379
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)
23.86% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1379
totalAiIsms21
found
0
word"measured"
count1
1
word"shattered"
count1
2
word"traced"
count1
3
word"mechanical"
count1
4
word"footsteps"
count1
5
word"echoed"
count2
6
word"familiar"
count1
7
word"porcelain"
count1
8
word"mosaic"
count2
9
word"scanned"
count1
10
word"shimmered"
count1
11
word"vibrated"
count1
12
word"etched"
count2
13
word"standard"
count1
14
word"grave"
count1
15
word"flickered"
count1
16
word"velvet"
count2
highlights
0"measured"
1"shattered"
2"traced"
3"mechanical"
4"footsteps"
5"echoed"
6"familiar"
7"porcelain"
8"mosaic"
9"scanned"
10"shimmered"
11"vibrated"
12"etched"
13"standard"
14"grave"
15"flickered"
16"velvet"
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
narrationSentences225
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount0
narrationSentences225
filterMatches
0"watch"
1"think"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences225
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen22
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1379
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
totalMentions57
wordCount1379
uniqueNames17
maxNameDensity0.87
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden3
High1
Street1
Quinn12
Metropolitan2
Morris5
Police1
Herrera8
Saint2
Christopher2
Detective2
Town1
Veil2
Market2
Water4
You6
Pulled3
persons
0"Quinn"
1"Morris"
2"Herrera"
3"Saint"
4"Christopher"
5"Market"
6"Water"
7"You"
8"Pulled"
places
0"Camden"
1"High"
2"Street"
3"Town"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences108
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1379
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences225
matches
0"carved that cadence"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs51
mean27.04
std26.16
cv0.968
sampleLengths
0112
144
24
316
444
59
649
76
810
927
1010
1115
126
1330
1461
1533
165
1730
18104
1935
202
213
222
2357
2437
255
2631
2766
2815
299
306
3151
3256
3314
3410
353
364
378
385
393
4059
412
4235
4372
4413
4514
4610
4716
4865
4939
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences225
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs268
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences225
ratio0
matches(empty)
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1381
adjectiveStacks2
stackExamples
0"pressed against damp brick."
1"steady, pressing against her"
adverbCount20
adverbRatio0.01448225923244026
lyAdverbCount3
lyAdverbRatio0.002172338884866039
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences225
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences225
mean6.13
std3.89
cv0.634
sampleLengths
08
110
210
311
420
57
615
721
810
98
108
118
1210
1310
142
152
166
175
185
194
203
2114
228
236
249
253
266
277
282
2912
307
318
327
334
342
356
364
376
385
3911
405
416
425
435
443
456
466
474
482
4910
60.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats21
diversityRatio0.4177777777777778
totalSentences225
uniqueOpeners94
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences192
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount54
totalSentences192
matches
0"She kept her left wrist"
1"She would not let this"
2"He vaulted a rusted bicycle"
3"His shoulder clipped an overflowing"
4"He did not look back."
5"Her lungs burned."
6"She tracked his footing, anticipated"
7"He darted left into a"
8"You’re done, Herrera."
9"He spun, back pressed against"
10"His warm brown eyes locked"
11"You’re out of your jurisdiction,"
12"I’m out of patience."
13"His boot heels scraped metal."
14"He dropped to one knee,"
15"Her hand went to her"
16"He slid into the gap,"
17"She gripped the top rung."
18"She lowered herself, boots finding"
19"Her watch ticked against her"
ratio0.281
53.75% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount156
totalSentences192
matches
0"Water cascaded from wrought iron"
1"Harlow Quinn’s boots struck the"
2"Rain dripped from her closely"
3"She kept her left wrist"
4"The worn leather strap of"
5"She would not let this"
6"The figure ahead cut through"
7"Spray caught the orange glow"
8"Olive skin flashed under a"
9"He vaulted a rusted bicycle"
10"His shoulder clipped an overflowing"
11"Glass shattered across the cobbles."
12"He did not look back."
13"Quinn closed the distance."
14"Her lungs burned."
15"She tracked his footing, anticipated"
16"He darted left into a"
17"Brick walls swallowed the street"
18"The rain fell harder, drumming"
19"You’re done, Herrera."
ratio0.813
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences192
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount1
matches
0"A labyrinth of unknown faces, unregistered transactions, things that did not belong in any evidence locker."
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
87.5301%