Run: 2026-02-19-01KHTQSXZX7AZNZ85C4ZQXAV7K

Run Details

Duration:
1m 15s
Cost:
$0.001376
Provider:
Novita

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
The rain fell in icy sheets, turning the London pavements into mirrored surfaces reflecting the sodium glow of streetlamps. Detective Harlow Quinn’s breath came in sharp bursts, condensing in the frigid air. Her worn leather watch was slick against her wrist, the face smeared with rainwater. She kept her eyes locked on the figure thirty meters ahead—a man in a dark hoodie who’d bolted the moment she’d identified herself outside The Raven’s Nest. He’d been talking to someone near the green neon sign. Quinn hadn’t gotten a clear look at the other person, just a silhouette disappearing into the bar’s entrance. But this one had run, and that was enough. Her shoes slapped against wet concrete. She ignored the burn in her calves, the military precision of her stride eating up the distance. The man cut left into an alleyway behind a row of Chinese restaurants, steam rising from grates mingling with the downpour. Quinn followed, her sharp jaw set. The alley was narrow, cluttered with overflowing bins and broken pallets. She saw him scramble over a chain-link fence at the far end. He was fast, athletic. Quinn hauled herself over, the metal cold and slick under her fingers. She dropped down into a deserted service yard, puddles reflecting the single security light above a loading dock. He was already crossing the yard, heading for an unmarked metal door set into a brick wall. Quinn sprinted, her coat flapping behind her. “Metropolitan Police! Stop!” The man didn’t even glance back. He yanked the door open—a slice of darkness yawned—and vanished inside. Quinn skidded to a halt before the doorway. Rain dripped from the close-cropped salt-and-pepper hair plastered to her scalp. This wasn’t part of her patrol. This was off the grid. The door led down, a set of concrete stairs descending into gloom. A faint, unnatural odor wafted up—ozone and something else, something like burnt hair and old spices. Her hand went to her hip, finding the reassurance of her service weapon. Three years ago, she’d lost Morris on a night not unlike this. He’d followed a lead into a warehouse by the docks. They’d found his body two days later, no obvious cause of death, his face frozen in an expression of pure terror. The coroner called it a massive heart attack. Quinn knew better. She’d seen the symbols scrawled on the walls in a substance that wasn’t paint. She took the stairs. The air grew colder, damper. The sounds of the city faded, replaced by a low hum that vibrated in her molars. The stairs ended in a rough-hewn tunnel, brickwork giving way to older stone. Cables and pipes ran along the ceiling, dripping condensation. Strings of bare bulbs cast a flickering, uneven light. Up ahead, the tunnel opened into a cavernous space. Quinn slowed, moving to the side, using the shadows. She peered around the edge. The abandoned Tube station stretched out before her, platforms emptied of trains, the tracks silent and dark. But it wasn't empty now. Stalls made from repurposed shipping containers and draped fabric lined the curved walls. Lanterns with colored glass threw shifting patterns of violet, green, and amber light across the scene. A crowd moved through the space—a bizarre, whispered gathering. Quinn saw a woman with iridescent scales along her neck haggling over a vial of silver liquid. A man with eyes like molten gold examined a dagger that seemed to swallow the light around it. The hum was louder here, a mixture of murmured conversations in languages she didn’t recognize and the faint crackle of energy. The Veil Market. She’d heard whispers. An underground bazaar for things that didn’t belong in daylight. Decorated service or not, eighteen years on the force taught you about the cities beneath the city. Her target was there, halfway down the central aisle, pulling off his soaked hoodie. He was younger than she’d thought, early twenties, his face pale under the strange lights. He was talking urgently to a stallholder—an elderly individual with too many knuckles on each long-fingered hand. Quinn’s grip tightened on her weapon. She could step out. Announce herself. But this wasn’t her jurisdiction. This place hummed with a wrongness that set her teeth on edge, the same feeling she’d had outside that warehouse three years ago. The crowd, while quiet, had a dangerous cohesion. They were all here for the same reason: to operate outside the rules. If she went in, she went in alone. No backup would follow, not here. The man might lead her to something bigger—the clique she suspected was moving weapons, or worse, through these channels. Morris had died chasing shadows that bled into this world. But the stallholder was handing the young man something small and bone-white. A token. The man nodded, turned, and began walking swiftly towards the far end of the platform, where another dark tunnel mouth waited. Quinn watched him go. The bone token gleamed in his hand. He was leaving the market, heading deeper into the labyrinth. She could turn back. File a report no one would believe. Mark the suspect as lost. Go home to her quiet flat and the case files that never closed. Her left wrist, where the worn leather strap of her watch dug in, ached with a phantom pain. Morris’s face flashed in her mind. Not as he’d been in life, laughing over a bad coffee, but as she’d found him. Empty. She took a breath, the air tasting of magic and decay. Then she stepped out of the tunnel and into the colored light.
created_at"2026-02-19T10:40:50.178Z" 2/19/2026, 10:40:50 AM
model"microsoft/wizardlm-2-8x22b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3674
moderation_latency(null)
generation_time74802
tokens_prompt1143
tokens_completion1426
native_tokens_prompt1005
native_tokens_completion1214
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.00137578
router(null)
provider_responses
0
endpoint_id"92d0658f-b48a-4746-96e7-75ea71d5e060"
id"4d4b5025-ab7d-4460-9f1c-43718d168044"
is_byokfalse
latency3674
model_permaslug"microsoft/wizardlm-2-8x22b"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771497650-rWW1b7MeQCjy12DPhnat"
upstream_id"4d4b5025-ab7d-4460-9f1c-43718d168044"
total_cost0.00137578
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

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)
wordCount941
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)
89.37% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount941
totalAiIsms2
found
0
word"gloom"
count1
1
word"vibrated"
count1
highlights
0"gloom"
1"vibrated"
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
narrationSentences84
matches(empty)
91.84% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences84
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences85
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords927
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount924
uniqueNames10
maxNameDensity1.19
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
London1
Harlow1
Quinn11
Raven1
Nest1
Chinese1
Morris3
Tube1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Market"
places
0"London"
1"Raven"
globalScore0.905
windowScore0.833
75.37% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount2
matches
0"something like burnt hair and old spices"
1"dagger that seemed to swallow the light around it"
92.13% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.079
wordCount927
matches
0"Not as he’d been in life, laughing over a bad coffee, but as she’d found him"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences85
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean40.3
std22.67
cv0.563
sampleLengths
073
137
250
357
427
517
658
781
84
952
1023
1122
1294
1333
1446
1561
1643
1735
1821
1929
2041
2111
2212
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences84
matches(empty)
70.97% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs155
matches
0"was talking"
1"was handing"
2"was leaving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences85
ratio0.071
matches
0"She kept her eyes locked on the figure thirty meters ahead—a man in a dark hoodie who’d bolted the moment she’d identified herself outside The Raven’s Nest."
1"He yanked the door open—a slice of darkness yawned—and vanished inside."
2"A faint, unnatural odor wafted up—ozone and something else, something like burnt hair and old spices."
3"A crowd moved through the space—a bizarre, whispered gathering."
4"He was talking urgently to a stallholder—an elderly individual with too many knuckles on each long-fingered hand."
5"The man might lead her to something bigger—the clique she suspected was moving weapons, or worse, through these channels."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount938
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.010660980810234541
lyAdverbCount4
lyAdverbRatio0.0042643923240938165
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences85
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences85
mean10.91
std5.72
cv0.524
sampleLengths
019
113
214
327
410
518
69
76
817
921
106
1111
1212
134
1412
1518
1617
177
183
196
2011
218
2211
236
245
2512
2616
2713
2812
2910
3021
318
323
3314
344
355
3616
3713
389
399
409
419
425
4317
445
4513
4616
479
4817
4918
51.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.35294117647058826
totalSentences85
uniqueOpeners30
41.15% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences81
matches
0"Then she stepped out of"
ratio0.012
91.60% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences81
matches
0"Her worn leather watch was"
1"She kept her eyes locked"
2"He’d been talking to someone"
3"Her shoes slapped against wet"
4"She ignored the burn in"
5"She saw him scramble over"
6"He was fast, athletic."
7"She dropped down into a"
8"He was already crossing the"
9"He yanked the door open—a"
10"Her hand went to her"
11"He’d followed a lead into"
12"They’d found his body two"
13"She’d seen the symbols scrawled"
14"She took the stairs."
15"She peered around the edge."
16"She’d heard whispers."
17"Her target was there, halfway"
18"He was younger than she’d"
19"He was talking urgently to"
ratio0.321
46.42% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount67
totalSentences81
matches
0"The rain fell in icy"
1"Detective Harlow Quinn’s breath came"
2"Her worn leather watch was"
3"She kept her eyes locked"
4"He’d been talking to someone"
5"Quinn hadn’t gotten a clear"
6"Her shoes slapped against wet"
7"She ignored the burn in"
8"The man cut left into"
9"Quinn followed, her sharp jaw"
10"The alley was narrow, cluttered"
11"She saw him scramble over"
12"He was fast, athletic."
13"Quinn hauled herself over, the"
14"She dropped down into a"
15"He was already crossing the"
16"Quinn sprinted, her coat flapping"
17"The man didn’t even glance"
18"He yanked the door open—a"
19"Quinn skidded to a halt"
ratio0.827
61.73% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences81
matches
0"If she went in, she"
ratio0.012
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount2
matches
0"She kept her eyes locked on the figure thirty meters ahead—a man in a dark hoodie who’d bolted the moment she’d identified herself outside The Raven’s Nest."
1"This place hummed with a wrongness that set her teeth on edge, the same feeling she’d had outside that warehouse three years ago."
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
86.5226%