Run: 2026-05-22-01KS86PMNYGQTKDEXA9HADRFJQ

Run Details

Duration:
2m 12s
Cost:
$0.054727
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 lashed the pavement. Harlow Quinn pumped her arms. Her boots struck the wet tarmac in a measured rhythm. Ahead, the suspect in the dark hoodie vaulted a stack of discarded pallets. Crimson and blue neon bled into the gutters, illuminating the slick streets of Soho. She tapped the radio on her shoulder. Control, this is Quinn. Suspect is heading north. Requesting units at the Camden intersection. Static crackled through the earpiece. Copy, Quinn. Units are five minutes out. Maintain visual. She lacked five minutes. The suspect darted into a narrow alleyway. Quinn followed. The brick walls closed in, amplifying the sound of their splashing footsteps. Dumpsters overflowed with black bin bags. The suspect navigated the maze with long, fluid strides. Quinn matched his pace, her military precision keeping her movements efficient. Her worn leather watch slapped against her left wrist. Three years. Three years since DS Morris bled out in an alley just like this one. The unexplained circumstances of his death still gnawed at her. She pushed the memory down and focused on the chase. Stop. Metropolitan Police. The suspect ignored her. He scrambled toward a chain-link fence at the dead end. Quinn closed the distance. She lunged, her fingers catching the hem of his jacket. The cheap fabric tore. He kicked backward. His heel grazed her sharp jaw. She tasted copper. He scaled the fence and dropped to the other side. Quinn grabbed the wire mesh. The metal bit into her palms. She hoisted herself over, ignoring the burn in her shoulders, and landed on the concrete below. Her closely cropped salt-and-pepper hair clung to her forehead. She wiped the rain from her face and drew her Taser. The suspect sprinted toward the rusted gates of the abandoned Camden Tube station. The entrance was boarded up, but a section of the hoarding hung loose. He slipped through the gap. Quinn reached the hoarding. The yellow plastic grip of the Taser felt solid in her palm. You have nowhere left to run. Only the drip of water answered her. She squeezed through the broken hoarding. The beam of her shoulder-mounted torch cut through the damp gloom. Graffiti covered the cracked tiles. The air smelled of ozone, stale urine, and rotting leaves. Footsteps echoed deeper in the tunnels. Quinn advanced. She kept her back to the wall, sweeping the light across the platform. The old ticket booths were stripped bare. Rusted turnstiles blocked the path to the escalators. The suspect had bypassed them, heading straight for the maintenance tunnels. She followed the scuff marks on the dusty floor. The tunnel sloped downward. The tiled walls gave way to raw earth and exposed brick. The temperature dropped. Her breath plumed in the torchlight. A low hum vibrated through the soles of her boots. It felt organic, like a massive heartbeat buried in the bedrock. Quinn rounded a bend. The tunnel opened into a cavernous space. She killed her torch. Amber light spilled from a massive archway ahead. The old station platform had vanished. Stalls constructed from salvaged train cars and corrugated iron lined the tracks. Banners of shimmering fabrics hung from the vaulted ceiling. A woman with skin the color of ash haggled over a crate of glowing vials. A man in a tailored suit traded a stack of parchment for a handful of iridescent scales. The Veil Market. Quinn pressed herself against the damp brickwork. Her suspect stood before a heavy iron gate at the entrance of the market proper. A towering figure wrapped in tattered robes guarded the threshold. The suspect reached into his pocket. He pulled out a small, pale object and handed it to the guard. A bone token. The guard examined the carved bone. The iron gate groaned open. Quinn stepped out of the shadows. She kept her Taser leveled at the suspect. Step away from the gate. The suspect flinched. He looked over his shoulder, his eyes wide. He scrambled through the opening. The guard turned. His eyes reflected the ambient amber light with a vertical slit pupil. This area is restricted. His voice sounded like grinding stones. Metropolitan Police. I am in pursuit of a suspect. Open the gate. The guard smiled. His lips pulled back to reveal rows of filed, needle-like teeth. Your jurisdiction ends at the street level, Detective. Quinn tightened her grip on the Taser. She glanced at the bone token resting in the guard. I do not care about your jurisdiction. That man assaulted an officer and is carrying stolen property. Hand him over. A patron walking past paused. A creature with elongated limbs and translucent skin tilted its head, observing Quinn with mild amusement. The creature whispered something to a companion, and they both chuckled. You lack a token. The guard held up the carved bone. And you lack an invitation. Turn around, human. The Market does not suffer interlopers. Quinn pressed the radio mic. Control, this is Quinn. Dead air filled her earpiece. The signal was completely dead. She tapped the receiver. She was entirely off the grid. Backup is on the way. Quinn kept her aim steady. They will secure the perimeter. You can hand him over now, or we dismantle this entire operation. The guard laughed. The sound echoed off the vaulted ceiling, drawing more stares from the market patrons. Your backup cannot find what they cannot see. The Market moves with the moon. By tomorrow, this station will be nothing but dust and rats. The suspect emerged from the crowd inside the gate. He held a small, leather-bound book. He waved it at Quinn. You are too late, copper. He turned and vanished into the throng of supernatural merchants and buyers. Quinn stared at the closing iron gate. The guard reached for the heavy latch. She had seconds to act. The logical choice was to retreat. Call in the armed response units. Cordon off the street above. Wait for the forensics team to sweep the empty tunnels tomorrow morning. It was the protocol. It was the safe choice. Morris had not played it safe. He had followed the strange energy into the dark, and she had been two minutes behind him. Two minutes too late to do anything but hold his hand while he bled out on the pavement. The guard pulled the iron gate shut. The latch clicked. Quinn sprinted forward. She jammed the barrel of her Taser into the gap between the gate and the frame, stopping it from closing completely. The guard snarled. He reached through the gap, his massive hand wrapping around the collar of her jacket. His fingers were ice cold. Quinn drove her knee into the guard. He grunted, his grip loosening for a fraction of a second. She slipped through the gap, tearing her jacket on the rusted iron, and tumbled onto the cobblestones inside the market. She rolled to her feet and raised her Taser, sweeping the immediate area. The guard stepped through the gate. He towered over her, rubbing his stomach. He did not attack. He pointed a long, gray finger toward the bustling stalls. You have crossed the threshold, Detective. The rules of your world no longer protect you. Quinn lowered the Taser. She checked her watch. The leather strap was torn, but the dial still ticked. She was in the Veil Market. She was alone. The suspect had vanished into the crowd.
created_at"2026-05-22T16:01:11.373Z" 5/22/2026, 4:01:11 PM
model"qwen/qwen3.7-max-20260520"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency989
moderation_latency(null)
generation_time131688
tokens_prompt1140
tokens_completion7858
native_tokens_prompt1065
native_tokens_completion6942
native_tokens_completion_images(null)
native_tokens_reasoning5326
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)
usage0.0547275
router(null)
provider_responses
0
endpoint_id"6d30fdc6-f2a7-4bdf-b6ba-32353496d723"
id"chatcmpl-dcf8e705-935a-92df-b025-bf48569c3a07"
is_byokfalse
latency989
model_permaslug"qwen/qwen3.7-max-20260520"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779465671-BWuVd314p6TMGWiU5Mag"
session_id(null)
api_type"completions"
id"gen-1779465671-7Ocl2rQJ92McLuQzA8Sf"
upstream_id"chatcmpl-dcf8e705-935a-92df-b025-bf48569c3a07"
total_cost0.0547275
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
91.86% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1229
totalAiIsmAdverbs2
found
0
adverb"completely"
count2
highlights
0"completely"
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)
55.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1229
totalAiIsms11
found
0
word"measured"
count1
1
word"footsteps"
count2
2
word"navigated"
count1
3
word"efficient"
count1
4
word"gloom"
count1
5
word"echoed"
count2
6
word"vibrated"
count1
7
word"constructed"
count1
8
word"stomach"
count1
highlights
0"measured"
1"footsteps"
2"navigated"
3"efficient"
4"gloom"
5"echoed"
6"vibrated"
7"constructed"
8"stomach"
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
narrationSentences167
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences167
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences167
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1229
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
60.50% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount1229
uniqueNames11
maxNameDensity1.79
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Quinn22
Soho1
Camden2
Morris2
Police2
Taser7
Tube1
Veil2
Market4
Detective2
You5
persons
0"Quinn"
1"Morris"
2"Taser"
3"You"
places
0"Soho"
1"Camden"
2"Veil"
globalScore0.605
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences101
glossingSentenceCount1
matches
0"sounded like grinding stones"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1229
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences167
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs57
mean21.56
std15.11
cv0.701
sampleLengths
046
17
214
35
49
551
645
73
844
957
1031
1116
126
137
1432
1547
1633
1721
1815
1967
203
2132
2222
2311
2414
255
2616
2715
284
296
3012
3114
328
3317
3420
3532
3625
375
384
3920
4027
4117
4225
4320
445
4512
4614
4743
4841
4910
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences167
matches
0"was boarded"
1"was torn"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs228
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences167
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1234
adjectiveStacks1
stackExamples
0"small, leather-bound book."
adverbCount18
adverbRatio0.014586709886547812
lyAdverbCount5
lyAdverbRatio0.004051863857374392
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences167
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences167
mean7.36
std3.96
cv0.538
sampleLengths
04
15
210
313
414
57
64
74
86
95
102
115
122
134
147
152
1612
176
189
1911
209
212
2214
2310
2410
251
262
274
2810
294
3010
314
323
336
343
3510
365
376
3816
399
4011
4113
4213
435
444
4512
466
477
486
4911
39.82% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.2934131736526946
totalSentences167
uniqueOpeners49
20.96% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences159
matches
0"Only the drip of water"
ratio0.006
66.54% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount61
totalSentences159
matches
0"Her boots struck the wet"
1"She tapped the radio on"
2"She lacked five minutes."
3"Her worn leather watch slapped"
4"She pushed the memory down"
5"He scrambled toward a chain-link"
6"She lunged, her fingers catching"
7"He kicked backward."
8"His heel grazed her sharp"
9"She tasted copper."
10"He scaled the fence and"
11"She hoisted herself over, ignoring"
12"Her closely cropped salt-and-pepper hair"
13"She wiped the rain from"
14"He slipped through the gap."
15"You have nowhere left to"
16"She squeezed through the broken"
17"She kept her back to"
18"She followed the scuff marks"
19"Her breath plumed in the"
ratio0.384
16.60% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount141
totalSentences159
matches
0"Rain lashed the pavement."
1"Harlow Quinn pumped her arms."
2"Her boots struck the wet"
3"Crimson and blue neon bled"
4"She tapped the radio on"
5"Static crackled through the earpiece."
6"Units are five minutes out."
7"She lacked five minutes."
8"The suspect darted into a"
9"The brick walls closed in,"
10"Dumpsters overflowed with black bin"
11"The suspect navigated the maze"
12"Quinn matched his pace, her"
13"Her worn leather watch slapped"
14"The unexplained circumstances of his"
15"She pushed the memory down"
16"The suspect ignored her."
17"He scrambled toward a chain-link"
18"Quinn closed the distance."
19"She lunged, her fingers catching"
ratio0.887
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences159
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
technicalSentenceCount0
matches(empty)
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
84.8512%