Run: 2026-04-27-01KQ79MV4S3G20FZ4SWMV47NRW

Run Details

Duration:
3m 17s
Cost:
$0.046266
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 hammers the asphalt. Quinn’s boots strike the wet paving stones in a steady rhythm. Streetlights bleed halos through the downpour. The suspect darts past a shuttered newsagent, collar turned up, shoulders hunched against the weather. She keeps pace. Breath steady. Eyes locked on the dark shape ahead. Eighteen years on the Met taught her how to run without burning out. She measures the gap. Thirty yards. Twenty-five. The suspect cuts left down a narrow cut between a kebab shop and a boarded-up bookmaker. She follows. Water sprays from her soles. The worn leather strap of her watch digs into her wrist as she pumps her arms. Her salt-and-pepper hair plastered flat against her skull. She does not slow. "Met Police. Stop running." The suspect glances back. Face shadowed by a dripping hood. He vaults a rusted iron railing. Boots scrape against wet metal. He drops into a service cut below street level. Quinn reaches the edge. Concrete steps descend into blackness. Damp air rises. Thick with ozone and old copper. She tracks the footprints in the grime. Fresh. Leading down. She descends. Each step lands with measured weight. Military drill keeps her centre of gravity low. Her jaw tightens. The air grows heavier. Smelling of burnt sugar and wet stone. Not standard Tube damp. Something else. Something that makes the back of her neck prickle. Morris used to complain about smells like this. Right before he vanished. She pushes the memory down. Focus on the boots ahead. "You corner yourself down there." A metal clang echoes from the dark. A gate rattles. Footsteps splash through shallow water. She draws her torch. The beam cuts through the drizzle. Catching peeling Transport for London tiles. Camden Town station. Closed for renovations. Or so the council signs claim. She moves deeper. The tunnel curves. Water drips from cracked ceramic arches. The footprints lead toward a bricked-up archway. The suspect stands beside it. He holds a small pale object between his fingers. Bone. Carved into a disc. He presses it against the mortar. The bricks shudder. Dust sifts from the seams. The wall splits open. A narrow passage slopes deeper underground. Warm light spills out. Carrying the murmur of voices. The clink of glass. The sharp tang of crushed herbs. He steps through. The gap begins to close. Quinn sprints. Water sprays from her soles. She hits the platform running. The stone jaws grind shut. She jams her torch into the gap. Metal cracks against rock. The mechanism stalls. She slides through sideways. Shoulders scraping rough edges. She drops into the corridor beyond. The torch clatters to the floor. She leaves it. The passage curves downward. Lined with rusted pipes and cracked tiles. The murmur swells into a market din. Stalls crowd the vaulted space. Lanterns hang from iron hooks. Vendors hawk wares behind wooden counters. Jars of iridescent powder. Coils of silver wire. Dried roots bound with twine. Buyers move through the aisles. Faces half-hidden. Coats damp. Eyes sharp. Nobody wears standard street clothes. Nobody looks like they belong above ground. The suspect weaves through the crowd. Heading for a stall draped in black canvas. "You picked a poor place to hide." He does not turn. He throws a handful of copper flakes onto the ground. The flakes ignite. Green smoke billows. Thick and sweet. Coughs erupt from nearby stalls. Buyers scatter. Quinn pulls her collar over her nose and pushes forward. Her boots stick to the flagstones. The smoke clings to her coat. She blinks tears away and tracks the suspect's silhouette vanishing behind a pillar. She rounds it. Empty. A wooden crate sits overturned. A trail of wet footprints leads toward a stairwell cut into the bedrock. She follows. The market noise fades. Dripping water replaces it. The stairs spiral down into a lower chamber. Iron gates block the way. A symbol is welded into the metal. A circle split by a vertical line. She runs a finger over the cold steel. The metal hums. Not electricity. Something older. Her watch strap creaks as she flexes her hand. Eighteen years of Met protocol screams at her to call it in. Wait for backup. Secure the perimeter. Protocol never accounted for walls that open to bone tokens. Protocol never explained how Morris’s radio went dead three years ago while he stood in a room that smelled exactly like this place. She unclips her holster. The leather creaks. She checks the chamber. Full. She steps toward the gate. "You walk through there, you don't walk back out." The voice comes from the shadows beside the stairwell. A woman leans against the damp brick. Arms crossed. Face carved from the same gloom. She wears a waxed canvas coat. Hair pinned back. Eyes reflecting the low lantern light. A vendor. Or a guard. She spits on the stone. "Police don't own the dirt down here." Quinn keeps her sidearm low. Her thumb rests near the safety. She measures the woman's stance. Weight on the back foot. Ready to move. Ready to draw. "I'm not here for the dirt. I'm here for the runner." The woman tilts her head. A silver ring catches the light on her index finger. She taps it against her teeth. "He paid his toll. You haven't. Turn around. Climb the stairs. Forget you saw the crack in the wall." Quinn steps closer. Water drips from her coat onto the flagstones. She keeps her voice flat. "I don't forget. I don't turn around. Open the gate." The woman laughs. A dry, cracked sound. She pushes off the wall and steps into the lantern glow. A blade rests against her palm. Short. Curved. Dark metal. "You carry a badge upstairs. Down here, you carry nothing. The Market eats strangers. It spits out bones. Your friend in the hood knows the rules. You don't. Walk away." Quinn's jaw locks. She shifts her weight. The leather watch band presses against her pulse. She counts the distance. Four paces to the woman. Six to the gate. The mechanism looks manual. A lever sits rusted on the right side. She rushes it. Takes the cut. Risks the fall. Or she holds position. Lets the suspect vanish into the dark again. Lets another lead dissolve into paperwork and dead ends. Lets Morris’s file gather more dust. Rainwater pools around her boots. The market hums above. The gate hums ahead. The woman rolls her shoulders. The blade catches the light. "I'm not asking twice." The woman's lips pull back. Not a smile. A warning. "Then stop asking." Quinn raises the pistol. The barrel aligns with the woman's centre mass. Her finger rests outside the trigger guard. She breathes in. The air tastes of iron and crushed mint. She breathes out. The woman does not flinch. The gate waits. The stairs behind her lead back to the rain. The dark ahead leads to the runner. To the clique. To whatever took Morris. She tightens her grip. The steel feels cold. Real. Grounded. She steps forward.
created_at"2026-04-27T11:02:00.098Z" 4/27/2026, 11:02:00 AM
model"qwen/qwen3.6-max-preview-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2231
moderation_latency(null)
generation_time197287
tokens_prompt1140
tokens_completion6444
native_tokens_prompt1065
native_tokens_completion5754
native_tokens_completion_images(null)
native_tokens_reasoning4184
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"
usage0.0462657
router(null)
provider_responses
0
endpoint_id"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id"chatcmpl-a16de239-c4c6-9587-935e-ee7ca8112b0e"
is_byokfalse
latency2231
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-1777287720-erfxbzRUqHO4hIu4H7US"
session_id(null)
api_type"completions"
id"gen-1777287720-UEondbhkXsvXAUFnvp58"
upstream_id"chatcmpl-a16de239-c4c6-9587-935e-ee7ca8112b0e"
total_cost0.0462657
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)
wordCount1166
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)
57.12% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1166
totalAiIsms10
found
0
word"measured"
count1
1
word"weight"
count3
2
word"standard"
count2
3
word"echoes"
count1
4
word"footsteps"
count1
5
word"gloom"
count1
6
word"pulse"
count1
highlights
0"measured"
1"weight"
2"standard"
3"echoes"
4"footsteps"
5"gloom"
6"pulse"
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
narrationSentences205
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences205
filterMatches
0"watch"
hedgeMatches
0"begins to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences216
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1166
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount1057
uniqueNames10
maxNameDensity0.76
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Met2
Tube1
Transport1
London1
Town1
Morris4
Quinn8
Eyes3
Water4
Lets3
persons
0"Met"
1"Morris"
2"Quinn"
3"Eyes"
4"Water"
places
0"London"
1"Town"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences72
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1166
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences216
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean48.58
std57.17
cv1.177
sampleLengths
0119
14
2125
35
4132
5138
67
7216
89
949
107
1127
1211
1321
1419
1516
1610
1728
1830
1999
204
2110
223
2377
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences205
matches
0"is welded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs187
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences216
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1063
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.012229539040451553
lyAdverbCount1
lyAdverbRatio0.0009407337723424271
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences216
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences216
mean5.4
std3.56
cv0.66
sampleLengths
04
111
26
315
43
52
67
713
84
92
101
1116
122
135
1416
158
164
174
184
196
206
215
229
234
245
253
266
277
281
292
302
316
328
333
344
357
364
372
389
398
404
415
425
435
447
453
465
474
486
496
54.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats20
diversityRatio0.38425925925925924
totalSentences216
uniqueOpeners83
18.73% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences178
matches
0"Right before he vanished."
ratio0.006
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount44
totalSentences178
matches
0"She keeps pace."
1"She measures the gap."
2"Her salt-and-pepper hair plastered flat"
3"She does not slow."
4"He vaults a rusted iron"
5"He drops into a service"
6"She tracks the footprints in"
7"Her jaw tightens."
8"She pushes the memory down."
9"She draws her torch."
10"She moves deeper."
11"He holds a small pale"
12"He presses it against the"
13"He steps through."
14"She hits the platform running."
15"She jams her torch into"
16"She slides through sideways."
17"She drops into the corridor"
18"She leaves it."
19"He does not turn."
ratio0.247
69.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount139
totalSentences178
matches
0"Quinn’s boots strike the wet"
1"Streetlights bleed halos through the"
2"The suspect darts past a"
3"She keeps pace."
4"Eyes locked on the dark"
5"She measures the gap."
6"The suspect cuts left down"
7"Water sprays from her soles."
8"The worn leather strap of"
9"Her salt-and-pepper hair plastered flat"
10"She does not slow."
11"The suspect glances back."
12"Face shadowed by a dripping"
13"He vaults a rusted iron"
14"Boots scrape against wet metal."
15"He drops into a service"
16"Quinn reaches the edge."
17"She tracks the footprints in"
18"Each step lands with measured"
19"Military drill keeps her centre"
ratio0.781
56.18% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences178
matches
0"To the clique."
1"To whatever took Morris."
ratio0.011
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
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
91.8786%