Run: 2026-04-27-01KQ78GXTNWB9WKPHWKFZEF6CX

Run Details

Duration:
30.4s
Cost:
$0.008242
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 drummed against Harlow Quinn’s jacket like a thousand impatient fingers. She hit the flooded asphalt running, boots slamming into puddles that sprayed cold water up her shins. Streetlight halos fractured on the pavement, casting long, trembling shadows that stretched and collapsed with every stride. She tracked the silhouette ahead. The suspect cut left down a narrow lane, shoulders hunched against the downpour, a heavy duffel bag slung tight across his chest. Quinn adjusted her grip on her holster. Her worn leather watch slipped against her wrist. She ignored the damp. She only cared about closing the distance. The suspect ducked under a low brick archway. Quinn followed, muscles coiled, breath ragged but controlled. London’s Soho streets dissolved into Camden’s gritty underbelly. Sirens wailed miles away, completely useless here. Dispatch wanted her to fall back. Contain the perimeter. Wait for backup. Quinn killed her earpiece with a swipe of her thumb. She operated alone now anyway. Three years since Morris took a hollow point through the chest in a warehouse that smelled of wet ash and burnt copper, and the case file still sat blanketed in red tape. She refused to let another ghost haunt her ledger. The suspect vaulted a rusted fire escape, boots clanging against metal, and dropped into a recessed stairwell hidden beneath a collapsed awning. Concrete steps spiraled down into a throat of blackness. Quinn caught up, chest heaving, rainwater dripping from her closely cropped hair. She didn’t hesitate. Her boots hit the top landing. Hold it. The suspect skidded to a stop at the edge of the stairs. He turned, chest heaving, rain plastering his dark jacket to his frame. He wiped water from his eyes and grinned. You’re really doing this, Quinn? Step down, and you forfeit your pension. Pension doesn’t cover dead partners. Morris made a lot of mistakes. You want to repeat them? Quinn stepped to the concrete lip. Cold mist rolled up from the depths, carrying the scent of ozone, damp stone, and something metallic. Distant chatter echoed upward, muffled but unmistakable. The hum of a crowd. The clink of glass. A low thrumming that vibrated in her molars. She recognized the architecture. Abandoned Tube tiles, faded yellow destination boards, a ticket barrier long stripped of copper. The Veil Market. A figure emerged from the shadows below. Tall, lean, olive skin gleaming under a flickering halogen strip. A tarnished silver Saint Christopher medallion rested against a damp white shirt. The man raised a hand, palm out, scarred forearm catching the light. Nobody climbs past the token, he called up, voice calm, cutting through the atmospheric static. Bone or blood. Rule of the platform. Quinn kept her hand near her sidearm. I’m not here for your rules. You’re here for him. The man nodded toward the suspect, who had already stepped aside, hands raised in mock surrender. You want what he’s carrying. You need to buy a way down. Or you stay up here and let the evidence rot. Quinn’s jaw tightened. She studied the descent. Beyond the rusted gate, the old station had been hollowed out into a sprawling bazaar. Aromas of saffron and sulfur drifted upward. Shelves groaned under glass vials and carved wooden boxes. Figures moved in shadows, some walking normally, others dragging unnatural stillness in their steps. Brass scales sat on wooden counters. Paper bags bore ink stamps she could not read. This wasn’t a drug den. This was a graveyard of laws. Her stomach turned. Morris’s last report had mentioned a subterranean exchange a week before he died. She had dismissed it as exhaustion. Now the air tasted like static before a storm. Dispatch crackled in her abandoned earpiece, a ghost signal she hadn’t fully severed. Quinn, report. Do we have visual on the target? She killed the mic with a sharp click. The man in the medallion reached into his coat. Quinn’s fingers closed around her pistol grip. He drew out a smooth, pale object. A human phalanx. It clicked against his palm. Place it on the rail. The gates respond to the dead. He tossed it up. It landed with a wet thud on the concrete step. Quinn stared at the bone. Protocol demanded she secure the suspect, cuff him, and wait for transport. But transport meant paperwork. Paperwork meant this alley would seal up by midnight, and the clue to Morris’s disappearance would dissolve into the city’s concrete arteries. You’re walking into a nightmare, the suspect said, dropping his duffel bag. The canvas split. Silver coins and wrapped parcels spilled across the wet tiles, rolling toward the edge. Quinn’s eyes tracked the scattered goods, then the dark maw below. I don’t believe in nightmares, she said, though her pulse hammered against her ribs. I believe in cause and effect. Cause and effect doesn’t apply past the third platform. You step down, you answer to the vendors. You lose your authority. You lose your name. Just a number with a pulse. Quinn’s hand hovered over the bone. Rain slicked her fingers. She thought of the blank case file. The smell of burnt copper. The weight of eighteen years of straight white lines on a career report that suddenly felt like a cage. She looked at the coins. She looked at the dark. Her boot scraped against the tile. The suspect took a slow step backward. The paramedic below waited, arms crossed over his chest, eyes locked on her face. No urgency in his posture. He knew exactly where she stood. Give me one reason not to walk away, she said, voice low, barely rising above the drumming rain. Morris knew the market too, the man in the medallion replied. He stood on that exact tile. He looked down at these same vendors. Then he turned his back and walked into the dark. He didn’t come back up. Quinn’s breath caught. The rain hammered against the awning above. She closed her fingers around the cold bone. The ridges pressed into her palm. She remembered the photograph of Morris they never returned her. The way he had smiled right before the call came. The way his coat had stained with something that refused to soak into the fabric. She had spent three years chasing shadows through official channels. She had followed paper trails into dead ends. She had buried her doubts under procedure and overtime. The rain washed the dirt from the concrete steps. Her boots shifted forward. The leather of her watch creaked. She didn’t think about backup. She didn’t think about jurisdiction. She only thought about the dark below and the weight in her hand. She knelt, her knees pressing into the wet concrete, and reached for the bone.
created_at"2026-04-27T10:42:23.196Z" 4/27/2026, 10:42:23 AM
model"qwen/qwen3.6-flash"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency645
moderation_latency(null)
generation_time30298
tokens_prompt1140
tokens_completion6016
native_tokens_prompt1065
native_tokens_completion5317
native_tokens_completion_images(null)
native_tokens_reasoning3862
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"
usage0.00824175
router(null)
provider_responses
0
endpoint_id"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id"chatcmpl-11f66236-1f1d-92b9-b26f-10fde8efbbb6"
is_byokfalse
latency645
model_permaslug"qwen/qwen3.6-flash"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777286543-vML1aw50yK8WcJHEJeHQ"
session_id(null)
api_type"completions"
id"gen-1777286543-qwLbIgbH0sK6h2rJA4EB"
upstream_id"chatcmpl-11f66236-1f1d-92b9-b26f-10fde8efbbb6"
total_cost0.00824175
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
86.54% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1114
totalAiIsmAdverbs3
found
0
adverb"completely"
count1
1
adverb"really"
count1
2
adverb"suddenly"
count1
highlights
0"completely"
1"really"
2"suddenly"
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)
50.63% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1114
totalAiIsms11
found
0
word"fractured"
count1
1
word"depths"
count1
2
word"echoed"
count1
3
word"vibrated"
count1
4
word"gleaming"
count1
5
word"stomach"
count1
6
word"maw"
count1
7
word"pulse"
count2
8
word"weight"
count2
highlights
0"fractured"
1"depths"
2"echoed"
3"vibrated"
4"gleaming"
5"stomach"
6"maw"
7"pulse"
8"weight"
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
narrationSentences134
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences134
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences134
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1114
ratio0
matches(empty)
0.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions2
matches
0"Nobody climbs past the token, he called up, voice calm, cutting through the atmospheric static."
1"Give me one reason not to walk away, she said, voice low, barely rising above the drumming rain."
82.68% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount1114
uniqueNames11
maxNameDensity1.35
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"You"
discoveredNames
Harlow1
Quinn15
Soho1
Camden1
Morris6
Tube1
Veil1
Market1
Saint1
Christopher1
You9
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Tube"
4"Saint"
5"Christopher"
6"You"
places
0"Soho"
1"Camden"
globalScore0.827
windowScore0.833
95.65% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences92
glossingSentenceCount2
matches
0"tasted like static before a storm"
1"felt like a cage"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1114
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences134
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean48.43
std37.48
cv0.774
sampleLengths
098
199
252
32
444
55
611
768
863
913
1042
11109
1222
138
1499
1540
1620
1731
1889
1918
2039
21128
2214
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences134
matches
0"been hollowed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs206
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences134
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1114
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.027827648114901255
lyAdverbCount12
lyAdverbRatio0.010771992818671455
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences134
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences134
mean8.31
std4.78
cv0.575
sampleLengths
011
117
217
35
422
57
68
74
87
98
108
118
127
136
143
153
1610
175
1832
199
2022
219
2212
233
246
252
2612
2712
288
295
307
315
326
335
346
3517
367
375
384
398
404
4114
423
437
4410
4512
4612
4715
483
494
47.51% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats18
diversityRatio0.3656716417910448
totalSentences134
uniqueOpeners49
50.51% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences132
matches
0"Just a number with a"
1"Then he turned his back"
ratio0.015
68.48% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount50
totalSentences132
matches
0"She hit the flooded asphalt"
1"She tracked the silhouette ahead."
2"Her worn leather watch slipped"
3"She ignored the damp."
4"She only cared about closing"
5"She operated alone now anyway."
6"She refused to let another"
7"She didn’t hesitate."
8"Her boots hit the top"
9"He turned, chest heaving, rain"
10"He wiped water from his"
11"You’re really doing this, Quinn?"
12"You want to repeat them?"
13"She recognized the architecture."
14"I’m not here for your"
15"You’re here for him."
16"You want what he’s carrying."
17"You need to buy a"
18"She studied the descent."
19"Her stomach turned."
ratio0.379
39.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount111
totalSentences132
matches
0"Rain drummed against Harlow Quinn’s"
1"She hit the flooded asphalt"
2"Streetlight halos fractured on the"
3"She tracked the silhouette ahead."
4"The suspect cut left down"
5"Quinn adjusted her grip on"
6"Her worn leather watch slipped"
7"She ignored the damp."
8"She only cared about closing"
9"The suspect ducked under a"
10"Quinn followed, muscles coiled, breath"
11"London’s Soho streets dissolved into"
12"Dispatch wanted her to fall"
13"Quinn killed her earpiece with"
14"She operated alone now anyway."
15"She refused to let another"
16"The suspect vaulted a rusted"
17"Quinn caught up, chest heaving,"
18"She didn’t hesitate."
19"Her boots hit the top"
ratio0.841
37.88% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences132
matches
0"Now the air tasted like"
ratio0.008
89.29% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount3
matches
0"She hit the flooded asphalt running, boots slamming into puddles that sprayed cold water up her shins."
1"Streetlight halos fractured on the pavement, casting long, trembling shadows that stretched and collapsed with every stride."
2"Three years since Morris took a hollow point through the chest in a warehouse that smelled of wet ash and burnt copper, and the case file still sat blanketed in…"
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
84.9568%