Run: 2026-02-19-01KHTXEH4P2T5D2JJ7W0PAPB9X

Run Details

Duration:
5m 4s
Cost:
$0.038023
Provider:
Venice

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 transformed Soho into slick glass. Neon from The Raven's Nest bled across the pavement—green light pooling against the curb like spilled coolant. Detective Harlow Quinn stood beneath the awning, her five-foot-nine frame held with military precision, her brown eyes fixed on the bar's entrance. The distinctive green neon sign buzzed above the door, tinting the falling droplets. She knew the layout inside: old maps and black-and-white photographs plastered across the walls, the third bookshelf from the left concealing the hidden back room used for clandestine meetings. Her worn leather watch drank in the streetlight. Eleven-forty-three. Three years to the day since DS Morris had stopped breathing. The door swung open. Tomás Herrera emerged, his five-foot-ten frame hunched against the deluge, olive skin gleaming under the green neon. Short curly dark brown hair plastered flat against his scalp. His left forearm showed the pale ridge of the scar as he shifted the medical bag to his other hand. The Saint Christopher medallion bounced against his chest. Quinn pushed off the wall. Herrera's head snapped up. Warm brown eyes locked onto her position beneath the awning. Recognition detonated across his features. He spun and bolted north, toward Tottenham Court Road. "Metropolitan Police!" Her voice cracked across the empty street. He accelerated. She pursued. Rain drilled into her scalp, finding pathways through her cropped salt-and-pepper hair. Her breath came in sharp bursts, controlled, measured. Herrera's boots skidded on the wet pavement as he rounded the corner onto Oxford Street. Wrong move. The street was wide, exposed, lit by a thousand bulbs. She poured on speed, her legs driving hard, closing the gap to thirty yards. Her leather watch band dug into her left wrist. He glanced back. Panic widened his eyes. He cut right, down a service stair into a loading bay. Quinn followed, her hand brushing the wall for balance. Concrete steps spiraled down. She heard his boots below, two flights, three. Emergency exit markings glowed green in the dark. He burst through a fire door at the bottom, setting off an alarm that whooped and died in the rain. The chase continued across a car park, then up again, fire escapes clanging under their weight. Herrera ran with the efficiency of a former paramedic—no wasted motion, pure survival instinct—but Quinn had eighteen years of decorated service and a sharper jaw set with determination. She had tracked men through worse storms than this. "You don't want this, Detective!" His shout echoed off the wet brick. "I want the truth!" Her boots hit the tarmac of Camden High Street. "Truth costs more than you can pay!" The market stalls stood shuttered, graffiti shimmering under sodium lights. Herrera's silhouette darted across the empty road, heading toward the old Tube entrance—the abandoned station beneath Camden mentioned only in pre-war ledgers. The entrance gaped between boarded-up shops, cordoned off with tape that had grayed in the weather. He descended into the earth. She reached the threshold forty seconds later. The bag he carried contained unauthorized treatments for supernatural patients. Alchemy that had cost him his NHS license. Evidence that connected the clique to criminal activity she suspected but could not yet prove. Her torch beam sliced through the darkness, illuminating wet footprints on the concrete steps. The air carried the scent of ozone and grave dirt. Down there, the Veil Market operated according to rhythms older than the Underground itself. It moved every full moon. Tonight marked three days past the lunar peak. Quinn checked her watch. The leather strap creaked against her wrist. A bone token hung from the rusted gate, suspended by a red thread. Payment for entry. Requirement for passage. She reached for it, hesitated. DS Morris had carried a similar token in his pocket the night he died, recovered from the wreckage but never logged into evidence. Supernatural origins she did not yet understand. Her fingers hovered over the ivory surface. Below, voices echoed. Merchants called out prices for enchanted goods and banned alchemical substances. Information traded hands in whispered exchanges. Answers waited down there regarding her partner's death. Her radio crackled against her ribs. She could call it in. Uniforms would arrive in eight minutes. They would secure the entrance. They would fail to find the market. It moved every full moon. By dawn, the bone token would be worthless, the entrance sealed behind glamour and brick, and DS Morris would remain unexplained forever. Her hand closed around the bone. It vibrated against her palm—wrong resonance, like holding a tuning fork struck against the fabric of reality itself. Quinn stepped onto the first stair. The concrete chilled her soles even through the boot leather. She descended into the dark. The weight of tons of London earth pressed above her head. Candles burned in niches carved into the tunnel walls, flames burning blue instead of orange, casting no shadows. Her torch illuminated symbols etched into the concrete—protection wards or invitations to predators, depending on the reader's knowledge. At the bottom, a corridor stretched left and right. Herrera's medical bag had left a trail of water droplets leading left. Toward the market proper. Toward the truth about what happened to her partner. She gripped the bone token tighter. Forty-one years old, eighteen of them spent chasing criminals through the Metropolitan streets, and she stood at the threshold of something that defied her understanding. Military precision demanded she call for backup. Instinct screamed that backup would arrive too late, or would arrive and suffer Morris's fate. Quinn chose. She crossed into the corridor. The darkness swallowed her whole.
created_at"2026-02-19T12:19:28.027Z" 2/19/2026, 12:19:28 PM
model"moonshotai/kimi-k2.5-0127"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency701
moderation_latency(null)
generation_time304076
tokens_prompt1140
tokens_completion12167
native_tokens_prompt1007
native_tokens_completion9938
native_tokens_completion_images(null)
native_tokens_reasoning10650
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.03802275
router(null)
provider_responses
0
endpoint_id"c884a526-d529-4263-bd90-a58ea25e99d1"
id"chatcmpl-RBUU2kXUQ9gQtQlQNC5k4uLv"
is_byokfalse
latency632
model_permaslug"moonshotai/kimi-k2.5-0127"
provider_name"Venice"
status200
api_type"completions"
id"gen-1771503568-OOIBSCeV11Pu2MPHQrNK"
upstream_id"chatcmpl-RBUU2kXUQ9gQtQlQNC5k4uLv"
total_cost0.03802275
cache_discount(null)
upstream_inference_cost0
provider_name"Venice"

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)
wordCount943
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)
36.37% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount943
totalAiIsms12
found
0
word"clandestine"
count1
1
word"gleaming"
count1
2
word"measured"
count1
3
word"weight"
count2
4
word"echoed"
count2
5
word"grave"
count1
6
word"vibrated"
count1
7
word"resonance"
count1
8
word"chilled"
count1
9
word"etched"
count1
highlights
0"clandestine"
1"gleaming"
2"measured"
3"weight"
4"echoed"
5"grave"
6"vibrated"
7"resonance"
8"chilled"
9"etched"
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
emotionTells1
narrationSentences93
matches
0"t with determination"
81.41% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences93
filterMatches
0"watch"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences97
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords925
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount907
uniqueNames22
maxNameDensity0.77
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Herrera"
discoveredNames
Soho1
Raven1
Nest1
Harlow1
Quinn7
Morris4
Herrera6
Saint1
Christopher1
Tottenham1
Court1
Road1
Oxford1
Street2
Camden2
High1
Tube1
Veil1
Market1
Underground1
London1
Metropolitan1
persons
0"Nest"
1"Harlow"
2"Quinn"
3"Morris"
4"Herrera"
5"Saint"
6"Christopher"
places
0"Soho"
1"Raven"
2"Tottenham"
3"Court"
4"Road"
5"Oxford"
6"Street"
7"Camden"
8"High"
9"London"
10"Metropolitan"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount925
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences97
matches
0"screamed that backup"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean28.91
std24.74
cv0.856
sampleLengths
087
120
259
35
428
52
67
72
82
970
1067
1153
125
137
144
159
167
1748
185
1940
2051
2111
2261
2328
2456
2524
2621
2747
2834
2953
302
3110
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences93
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs151
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences97
ratio0.052
matches
0"Neon from The Raven's Nest bled across the pavement—green light pooling against the curb like spilled coolant."
1"Herrera ran with the efficiency of a former paramedic—no wasted motion, pure survival instinct—but Quinn had eighteen years of decorated service and a sharper jaw set with determination."
2"Herrera's silhouette darted across the empty road, heading toward the old Tube entrance—the abandoned station beneath Camden mentioned only in pre-war ledgers."
3"It vibrated against her palm—wrong resonance, like holding a tuning fork struck against the fabric of reality itself."
4"Her torch illuminated symbols etched into the concrete—protection wards or invitations to predators, depending on the reader's knowledge."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount925
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.012972972972972972
lyAdverbCount2
lyAdverbRatio0.002162162162162162
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences97
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences97
mean9.54
std6.08
cv0.638
sampleLengths
06
117
222
313
429
58
61
711
84
917
1010
1120
128
135
144
1510
165
179
182
197
202
212
2212
238
2415
252
2610
2714
289
293
304
3111
329
334
348
358
3620
3716
3828
399
405
417
424
439
447
4510
4622
4716
485
497
78.69% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.4845360824742268
totalSentences97
uniqueOpeners47
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences88
matches(empty)
ratio0
74.55% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences88
matches
0"She knew the layout inside:"
1"Her worn leather watch drank"
2"His left forearm showed the"
3"He spun and bolted north,"
4"Her voice cracked across the"
5"Her breath came in sharp"
6"She poured on speed, her"
7"Her leather watch band dug"
8"He glanced back."
9"He cut right, down a"
10"She heard his boots below,"
11"He burst through a fire"
12"She had tracked men through"
13"His shout echoed off the"
14"Her boots hit the tarmac"
15"He descended into the earth."
16"She reached the threshold forty"
17"Her torch beam sliced through"
18"It moved every full moon."
19"She reached for it, hesitated."
ratio0.364
28.18% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount76
totalSentences88
matches
0"Rain transformed Soho into slick"
1"Neon from The Raven's Nest"
2"Detective Harlow Quinn stood beneath"
3"The distinctive green neon sign"
4"She knew the layout inside:"
5"Her worn leather watch drank"
6"The door swung open."
7"Tomás Herrera emerged, his five-foot-ten"
8"His left forearm showed the"
9"The Saint Christopher medallion bounced"
10"Quinn pushed off the wall."
11"Herrera's head snapped up."
12"Recognition detonated across his features."
13"He spun and bolted north,"
14"Her voice cracked across the"
15"Rain drilled into her scalp,"
16"Her breath came in sharp"
17"Herrera's boots skidded on the"
18"The street was wide, exposed,"
19"She poured on speed, her"
ratio0.864
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences88
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount1
matches
0"Forty-one years old, eighteen of them spent chasing criminals through the Metropolitan streets, and she stood at the threshold of something that defied her unde…"
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
83.3069%