Run: 2026-04-27-01KQ77K1YF3QCN8S3B3QMYMF0A

Run Details

Duration:
35.7s
Cost:
$0.009118
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 like gravel. Quinn drove forward through the Soho alleys, boots splashing through oil-slicked puddles. The suspect kept a steady sprint, a dark smear against the wet brickwork. She matched his pace. Heart rate held at sixty-two. Breathing shallow and controlled. Eighteen years of chasing ghosts demanded geometry, not panic. Left turn at the junction. Right past the rusted fire escape. The suspect vaulted a construction barrier, landed with a sharp crack of heels on concrete, and kept moving. Quinn tracked the wet tread marks. Clean exit. Tight turn. No wasted motion. A ghost who knew how to disappear in plain sight. She checked her watch. The leather strap scraped her wrist. Seven minutes behind. Closing. The architecture shifted. Oxford Circus gave way to King’s Cross, then north toward Camden. The rain thickened, turning sidewalks into black mirror glass. Quinn didn’t break stride. Fingers brushed a corrugated steel door. She shouldered it open. Cold air hit her face. Street signs blurred past. The suspect slowed near a collapsed entrance to a disused railway line. Grated openings clogged the ground. Water pooled around the iron rings. Quinn reached the grate. The suspect dropped a metal object. It clattered against stone. A bone token, carved with interlocking sigils. It spun, caught the flicker of a dying bulb, and settled into the slurry. Quinn leaned over the bars. The air below tasted different. Copper and damp earth. Ozone and something older, like burnt sage and cold stone. She peered through the iron. Stairwells descended into darkness. The suspect was already halfway down, disappearing into the gloom. Quinn’s hand drifted to her waist. Her sidearm sat heavy against her ribs. Protocol demanded she call it in. Channel the location to the control room. Let the tactical team handle the drop. Morris never followed him down when he should have. Rain on his coat. A shadow moving wrong behind the door. The radio cutting out to static. Quinn shoved the image away. Her jaw tightened. She needed answers. The clique controlled the underground. They fed on secrets. Morris died because the truth stayed buried. She dropped the token through the grate. It vanished into the dark. Quinn gripped the rungs. Cold metal bit into her palms. She pulled herself down. Steel steps rang under her boots. Water dripped from the ceiling in steady drops. Each step took her deeper. The city sounds faded. Tires on wet asphalt replaced by the distant echo of footsteps. Muffled voices. The scrape of leather on stone. The stairwell opened into a cavernous space. The abandoned Tube station stretched before her, transformed. Faded Victorian tiles still clung to the arches, but modern makeshift stalls lined the platform edges. Tarps draped over broken ticket machines. Lanterns hung from rusted pipes, casting long, trembling shadows. The air grew thick, humid, heavy with the scent of ozone, old paper, and something metallic that made her teeth ache. Quinn stepped onto the platform. Her boots struck wet concrete. She stayed near a crumbling pillar, watching. The suspect moved with fluid precision, slipping between clusters of figures. They wore long coats, hoods pulled low. Some carried satchels bulging with glass vials. Others bore the glint of silver chains and carved bone charms. No one spoke above a whisper. Voices slid under the drip of condensation like water over glass. A vendor leaned over a wooden crate. Inside rested rows of feathers that shimmered with iridescent hues. Quinn’s gaze caught the movement of a man in a grey trench coat. The suspect halted near a stall draped in heavy canvas. A tall figure stepped from the shadows. The air pressure shifted. Quinn’s ears popped. “You brought the key,” the tall figure said. Voice low, rasping. “Paid the toll,” the suspect replied. Hands open, palms forward. “I need the ledger. Not anymore delays.” The tall figure’s eyes reflected the lantern light. Pale. Almost blind. “Price went up. The city moves every cycle. You know the price of certainty.” Quinn adjusted her grip on her watch. She remembered the files. The clique traded in information that couldn’t be logged. Financial records. Police movements. Names. Morris’s case file vanished from three different archives. She stepped forward, boots scraping the tile. The suspect turned. Eyes locked on her silhouette. Recognition flashed, then hardened. “Quinn.” “Herrera,” she said. The name fit. Tomás. Former paramedic. NHS license stripped after he started treating patients who didn’t bleed red. “You’re not leaving this platform.” Tomás straightened. His scarf slipped, revealing the tarnished silver of a Saint Christopher medallion. “Walk away, Detective. This isn’t your jurisdiction. You’re standing in a blind spot.” “I follow the evidence.” Quinn kept her voice level. “I follow the trail to Camden. I follow it here.” She gestured to the stalls, the lanterns, the shadowed figures backing into the arches. “You think I don’t see it? The ledger I want isn’t in a cabinet. It’s in this room.” Tomás exhaled, slow and controlled. “You want what Morris died for. You want the names. You want the truth about what happened in that warehouse.” Quinn’s pulse skipped. “I want the file.” “File’s gone.” Tomás tapped his chest, right over the medallion. “Some things don’t stay buried. They sink. They change you. You stand in the rain, dry boots, clean conscience. You think you can walk out the same way.” Quinn stepped off the pillar’s shadow. Rainwater dripped from her jacket sleeves. She locked eyes with the vendor across the platform. The man’s fingers traced the rim of a clay cup. He didn’t blink. Didn’t move. Quinn turned back to Tomás. The lead figure in the grey coat shifted, hand drifting toward a concealed weight under his sleeve. “I’m not here for a conversation.” Quinn kept her stance wide. “I’m here for the ledger. Hand it over.” “You can’t command this space.” Tomás tilted his head. “Look around you. This market feeds on what you can’t measure. You bring a gun. You bring procedure. You bring a city that forgot how to bleed.” Quinn’s fingers brushed the trigger guard. Her leather watch face caught the lantern glow. The hands moved steady. She counted the seconds. The vendor’s cup sat empty. The lead figure’s weight shifted forward. Tomás’ shoulders squared. The platform held its breath. She measured the distance. Four yards to him. Eight to the archway. Rainwater tracked down the tiled walls like slow streams. The city above hummed, indifferent. Down here, the air thinned. Her lungs pulled cold. Her boots stayed planted. She let her hand drop from her holster. Not surrender. Calculus. “Show me.” Quinn’s voice cut through the damp air. Tomás studied her face. His warm brown eyes searched for hesitation. He found none. He nodded once. Raised a hand. The lead figure stepped aside. The canvas veil dropped. The crate beneath it yielded a leather-bound folder, stained dark at the edges. Quinn walked forward. Each step echoed off the iron arches. The sound rolled through the platform. Vendors shifted. Lanterns flickered. The damp air grew heavier, pressing against her shoulders. She reached the crate. Her fingers closed around the leather. The material felt wrong. Cold. Alive. She lifted it. The weight settled in her palms. Tomás didn’t move. The lead figure lingered in the shadows, a silent witness. Quinn turned the folder. The cover bore no stamps. No classification. Just a single wax seal, cracked and black. She tucked it under her arm. The rain outside kept falling. The stairs behind her waited. Her mind ran the calculations. Protocol demanded she retreat. Extract. File the warrant. Request backup. Backlog stretched weeks. The clique would evaporate by morning. The ledger meant nothing in a drawer. It meant everything in her hands. Quinn faced the stairs. Faced the platform. Faced Tomás. The tunnel ahead swallowed the lantern light. Vendors whispered in overlapping tongues. Glass clinked against wood. Something heavy dragged across stone in the distance. Quinn shifted her weight. Felt the folder press against her ribs. Felt the cold damp seep through her trousers. She weighed the exit against the deep. Weighed the law against the truth. The stairs promised safety. The tunnel promised answers. Her boots hovered an inch off the tile. Rain drummed somewhere far above. Her fingers tightened around the leather. She took the first step forward.
created_at"2026-04-27T10:26:04.374Z" 4/27/2026, 10:26:04 AM
model"qwen/qwen3.6-flash"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency649
moderation_latency(null)
generation_time35570
tokens_prompt1140
tokens_completion6803
native_tokens_prompt1065
native_tokens_completion5901
native_tokens_completion_images(null)
native_tokens_reasoning4045
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"
usage0.00911775
router(null)
provider_responses
0
endpoint_id"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id"chatcmpl-3f12a557-2f43-96b3-8f07-4defc7ef0c5e"
is_byokfalse
latency649
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-1777285564-2Ts5dRM8SmvqEonF0jTL"
session_id(null)
api_type"completions"
id"gen-1777285564-ZYcecL03uMbFYq0rdEe4"
upstream_id"chatcmpl-3f12a557-2f43-96b3-8f07-4defc7ef0c5e"
total_cost0.00911775
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences20
tagDensity0.35
leniency0.7
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1383
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)
42.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1383
totalAiIsms16
found
0
word"flicker"
count1
1
word"gloom"
count1
2
word"echo"
count1
3
word"footsteps"
count1
4
word"glint"
count1
5
word"whisper"
count1
6
word"shimmered"
count1
7
word"pulse"
count1
8
word"traced"
count1
9
word"weight"
count4
10
word"measured"
count1
11
word"echoed"
count1
12
word"flickered"
count1
highlights
0"flicker"
1"gloom"
2"echo"
3"footsteps"
4"glint"
5"whisper"
6"shimmered"
7"pulse"
8"traced"
9"weight"
10"measured"
11"echoed"
12"flickered"
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
narrationSentences207
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences207
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences219
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1383
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions52
wordCount1198
uniqueNames16
maxNameDensity1.92
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho1
Circus1
King1
Cross1
Camden1
Tube1
Victorian1
Voice1
Hands1
Saint1
Christopher1
Tomás9
Quinn23
Rain3
Cold3
Morris3
persons
0"Circus"
1"King"
2"Cross"
3"Victorian"
4"Hands"
5"Saint"
6"Christopher"
7"Tomás"
8"Quinn"
9"Rain"
10"Morris"
places
0"Soho"
1"Camden"
globalScore0.54
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences94
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1383
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences219
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean53.19
std38.52
cv0.724
sampleLengths
0119
1104
2129
368
4137
554
611
717
825
940
1013
1126
1227
1351
1425
157
1638
1758
1819
1936
2041
2150
229
2387
2494
2598
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences207
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs233
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences219
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount859
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.011641443538998836
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences219
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences219
mean6.32
std4.23
cv0.67
sampleLengths
06
112
213
34
45
54
69
75
86
918
106
112
122
133
1410
154
166
173
181
193
2011
219
224
236
244
255
264
2712
285
296
304
316
324
337
3414
355
365
374
3810
395
404
4110
426
437
446
457
467
479
484
497
57.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3835616438356164
totalSentences219
uniqueOpeners84
18.21% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences183
matches
0"Just a single wax seal,"
ratio0.005
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences183
matches
0"She matched his pace."
1"She checked her watch."
2"She shouldered it open."
3"It clattered against stone."
4"It spun, caught the flicker"
5"She peered through the iron."
6"Her sidearm sat heavy against"
7"Her jaw tightened."
8"She needed answers."
9"They fed on secrets."
10"She dropped the token through"
11"It vanished into the dark."
12"She pulled herself down."
13"Her boots struck wet concrete."
14"She stayed near a crumbling"
15"They wore long coats, hoods"
16"She remembered the files."
17"She stepped forward, boots scraping"
18"His scarf slipped, revealing the"
19"She gestured to the stalls,"
ratio0.224
33.77% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount156
totalSentences183
matches
0"Quinn drove forward through the"
1"The suspect kept a steady"
2"She matched his pace."
3"Heart rate held at sixty-two."
4"The suspect vaulted a construction"
5"Quinn tracked the wet tread"
6"A ghost who knew how"
7"She checked her watch."
8"The leather strap scraped her"
9"The architecture shifted."
10"Oxford Circus gave way to"
11"The rain thickened, turning sidewalks"
12"Quinn didn’t break stride."
13"Fingers brushed a corrugated steel"
14"She shouldered it open."
15"Street signs blurred past."
16"The suspect slowed near a"
17"Water pooled around the iron"
18"Quinn reached the grate."
19"The suspect dropped a metal"
ratio0.852
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences183
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences20
tagDensity0.1
leniency0.2
rawRatio0
effectiveRatio0
86.7225%