Run: 2026-02-19-01KHTQQSP06PHGTHJV575X2HJB

Run Details

Duration:
2m 18s
Cost:
$0.001680
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 sheets, turning London’s asphalt into a rippling black mirror under the orange streetlights. Detective Harlow Quinn’s boots slapped against the wet pavement, her breath coming in sharp clouds of steam. Ahead, a shadow darted between the pools of light—the suspect, a hulking figure in a dark hoodie. He’d emerged from a side-alley near The Raven’s Nest, handed something to a figure Quinn didn’t recognize, then bolted when he spotted her. Her sharp jaw was set, brown eyes narrowed against the downpour. She ignored the water streaming down the back of her neck under her coat. Eighteen years on the force had taught her a few things about chases: never stop, never hesitate. He had something on his person, paper or an envelope, something he’d been desperate to pass off. He cut left into an alley clogged with overflowing bins. Quinn followed, her worn leather watchband soaked. She vaulted over a fallen bin, her military-trained body moving with a precision that belied her age. He scrambled up a fire escape, metal groaning under his weight. She went after him, her fingers finding purchase on the slick rungs. From the rooftops, the city sprawled like a grid of amber and shadow. The suspect leaped across a narrow gap to the next building. Quinn didn’t think, just moved. She landed hard, a jolt shooting up her knees. He was pulling ahead, dropping down through a skylight. She reached the skylight, a pane of reinforced glass fogged with condensation. It opened into darkness. With a sharp twist, she unlatched it and lowered herself into a cavernous space. The sound of dripping water echoed. Her hand went to her sidearm. She was in an abandoned Underground station. The old tiled walls were slick with grime. A single, dimly lit sign hung crookedly from the ceiling: “Camden Town.” But Camden Town station was bustling above. This was something else, something beneath it. The air smelled of damp earth, ozone, and something metallic. She heard footsteps receding down a side tunnel. She drew her flashlight, the beam cutting through the gloom. Graffiti covered the walls, but not ordinary tags. Symbols, intricate and alien, glowed faintly under her light. She recognized none of them. The tunnel narrowed, then opened into a wider platform. It wasn’t deserted. Stalls lined the platform under makeshift awnings, lanterns hanging from hooks casting shifting, colorful shadows. Figures moved between them, hooded, masked, some not entirely human in silhouette. One stall sold jars of glowing moss. Another had tiny, intricate clockwork birds fluttering in a cage. The murmur of hushed conversation, bartering in languages Quinn didn’t know, filled the space. The Veil Market. She’d heard whispers. An underground market that moved, a place where the things that went bump in the night shopped. DS Morris had muttered about tokens and moonlit entries before he died. A bone token, he’d said. She’d found one in his effects, a small carved piece she’d kept, not understanding. The hulking suspect was ahead, weaving through the crowd, throwing glances back at her. He moved with purpose, heading for a curtained-off alcove at the far end. Quinn stood at the edge of the market, a woman in a soaked trench coat standing starkly against the strange tableau. Her rational mind screamed caution. This wasn’t her jurisdiction, wasn’t even her *world*. She had no backup, no protocol for this. Following him in there meant stepping into the unknown, into the very shadow realm Morris had stumbled into. The realm that took him from her. A vendor with too many eyes watched her from a stall selling bottled whispers. A chill that had nothing to do with the rain crept down her spine. He was getting away. Her hand tightened on the grip of her flashlight. Morris had followed a lead. He had followed it right to his end, found in a back alley with his face frozen in terror and no marks on his body. She’d spent three years looking for an explanation, chasing ghosts in police files. And now one was right in front of her, running into a den of them. It was reckless. It was stupid. It was the only lead she had left that wasn’t a dead end. She pushed off the wall and stepped into the flow of the market. The crowd parted for her not out of deference, but like water around a stone—a subtle, wary shift. She kept her eyes on the suspect, her pace quick but measured. The alcove he’d ducked into had a heavy velvet curtain. As she approached, a figure stepped out to block her path. He was tall, lean, with olive skin and sharp features. A scar ran along his left forearm, pale against his skin. A Saint Christopher medallion glinted at his throat. Tomas Herrera. “Detective,” he said, his voice low, accented. Warm brown eyes held no warmth now. “You shouldn’t be here.” “Step aside, Herrera.” Her voice was flat, leaving no room for debate. “This isn’t a place for your kind of law. Go back the way you came.” “My suspect went through that curtain.” “And he’ll be gone by the time you push past me. He’s already through the exit. You following him means you follow him out of the Market, into the Warrens. You won’t come back out.” Quinn’s gaze flicked to the curtain, then back to Herrera. “You know him.” “I know he’s trouble you don’t need. Walk away, Detective. For once, listen to someone.” She studied his face. He’d patched up members of the clique before, off-the-books. He moved in these circles. He knew things. He was a link. “Morris,” she said, the name hanging between them. “He came here, didn’t he?” Herrera’s expression tightened almost imperceptibly. “I don’t know any Morris.” “You’re a terrible liar.” “And you’re a living woman in a dead place. That envelope your man had? It wasn’t for post. It was a dispensation. A payment for services rendered in the dark. You grab him, you start a war you can’t finish. Let him go.” Her jaw ached from clenching. Every instinct told her to move, to push past him, to finish the chase. Morris’s ghost stood at her shoulder, silent, waiting. She looked past Herrera at the curtain, then at the unnatural bazaar surrounding her, a world hidden in plain sight beneath London’s feet. The suspect was a criminal, yes. But he was also a key. To what, she didn’t know. But Herrera was right—this was a threshold. Cross it, and there was no going back to the clean, well-lit world of case files and procedure. She took a slow breath, the damp, metallic air filling her lungs. “Tell me what was in the envelope,” she said, her voice dropping to a conspiratorial murmur meant only for him. Herrera’s eyes widened a fraction. He hadn’t expected that. He’d expected a bull-headed charge. “You don’t want to know.” “I really do.” He held her gaze for a long moment, then shook his head, a faint, grim smile touching his lips. “It’s a receipt. For a soul. Not his. Someone else’s. Now are you happy?” The words landed like a physical blow. Quinn felt the blood drain from her face. Morris’s empty, terrified eyes flashed in her memory. She took one last look at the curtain. The chase was over. The real one was just beginning. She stepped back, giving a single, sharp nod to Herrera. Then she turned, and walked back the way she came, the whispers of the Market following her into the dark tunnel.
created_at"2026-02-19T10:39:40.695Z" 2/19/2026, 10:39:40 AM
model"microsoft/wizardlm-2-8x22b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency898
moderation_latency(null)
generation_time137348
tokens_prompt1143
tokens_completion1951
native_tokens_prompt1005
native_tokens_completion1705
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"
usage0.0016802
router(null)
provider_responses
0
endpoint_id"92d0658f-b48a-4746-96e7-75ea71d5e060"
id"734e6eab-f2b8-4e92-9a51-c616292f4d6d"
is_byokfalse
latency898
model_permaslug"microsoft/wizardlm-2-8x22b"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771497580-1yyhYLPTYOFazAaiu6jf"
upstream_id"734e6eab-f2b8-4e92-9a51-c616292f4d6d"
total_cost0.0016802
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
88.89% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount1
adverbTags
0"sign hung crookedly [crookedly]"
dialogueSentences18
tagDensity0.222
leniency0.444
rawRatio0.25
effectiveRatio0.111
92.13% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1271
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"really"
count1
highlights
0"very"
1"really"
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)
37.06% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1271
totalAiIsms16
found
0
word"hulking"
count2
1
word"streaming"
count1
2
word"weight"
count1
3
word"echoed"
count1
4
word"footsteps"
count1
5
word"gloom"
count1
6
word"intricate"
count2
7
word"chill"
count1
8
word"down her spine"
count1
9
word"measured"
count1
10
word"velvet"
count1
11
word"warmth"
count1
12
word"flicked"
count1
13
word"clenching"
count1
highlights
0"hulking"
1"streaming"
2"weight"
3"echoed"
4"footsteps"
5"gloom"
6"intricate"
7"chill"
8"down her spine"
9"measured"
10"velvet"
11"warmth"
12"flicked"
13"clenching"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow1
found
0
label"eyes widened/narrowed"
count2
highlights
0"eyes narrowed"
1"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences108
matches
0"n in terror"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences108
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences121
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1261
ratio0.001
matches
0"world"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount1090
uniqueNames15
maxNameDensity0.73
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Herrera"
discoveredNames
London2
Harlow1
Quinn8
Raven1
Nest1
Underground1
Camden1
Town1
Veil1
Market2
Morris5
Saint1
Christopher1
Herrera7
Warm1
persons
0"Harlow"
1"Quinn"
2"Nest"
3"Market"
4"Morris"
5"Saint"
6"Christopher"
7"Herrera"
places
0"London"
1"Raven"
2"Camden"
3"Town"
globalScore1
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences84
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.793
wordCount1261
matches
0"not out of deference, but like water around a stone"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences121
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs42
mean30.02
std20.74
cv0.691
sampleLengths
074
159
257
347
442
541
650
712
858
93
1051
1127
1267
1328
144
1567
1619
1713
1851
1931
2018
2112
2215
236
2435
2513
2615
2725
2813
2910
304
3143
3227
3365
3412
3520
3614
375
383
3933
4023
4149
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences108
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs202
matches
0"was pulling"
72.02% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences121
ratio0.025
matches
0"Ahead, a shadow darted between the pools of light—the suspect, a hulking figure in a dark hoodie."
1"The crowd parted for her not out of deference, but like water around a stone—a subtle, wary shift."
2"But Herrera was right—this was a threshold."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1100
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.026363636363636363
lyAdverbCount8
lyAdverbRatio0.007272727272727273
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences121
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences121
mean10.42
std6.39
cv0.613
sampleLengths
017
117
217
323
411
514
617
717
810
97
1017
1111
1212
1313
1411
155
169
179
1812
194
2014
216
226
237
248
2519
267
2710
288
2910
308
319
325
339
343
3515
3612
377
3810
3914
403
413
4217
4312
445
4514
4614
4713
4821
495
42.42% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.3140495867768595
totalSentences121
uniqueOpeners38
31.15% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences107
matches
0"Then she turned, and walked"
ratio0.009
33.08% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount50
totalSentences107
matches
0"He’d emerged from a side-alley"
1"Her sharp jaw was set,"
2"She ignored the water streaming"
3"He had something on his"
4"He cut left into an"
5"She vaulted over a fallen"
6"He scrambled up a fire"
7"She went after him, her"
8"She landed hard, a jolt"
9"He was pulling ahead, dropping"
10"She reached the skylight, a"
11"It opened into darkness."
12"Her hand went to her"
13"She was in an abandoned"
14"She heard footsteps receding down"
15"She drew her flashlight, the"
16"She recognized none of them."
17"It wasn’t deserted."
18"She’d heard whispers."
19"She’d found one in his"
ratio0.467
25.42% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount93
totalSentences107
matches
0"The rain fell in sheets,"
1"Detective Harlow Quinn’s boots slapped"
2"He’d emerged from a side-alley"
3"Her sharp jaw was set,"
4"She ignored the water streaming"
5"He had something on his"
6"He cut left into an"
7"Quinn followed, her worn leather"
8"She vaulted over a fallen"
9"He scrambled up a fire"
10"She went after him, her"
11"The suspect leaped across a"
12"Quinn didn’t think, just moved."
13"She landed hard, a jolt"
14"He was pulling ahead, dropping"
15"She reached the skylight, a"
16"It opened into darkness."
17"The sound of dripping water"
18"Her hand went to her"
19"She was in an abandoned"
ratio0.869
46.73% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences107
matches
0"To what, she didn’t know."
ratio0.009
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount1
matches
0"She vaulted over a fallen bin, her military-trained body moving with a precision that belied her age."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount2
matches
0"he said, his voice low, accented"
1"she said, the name hanging between them"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences18
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
81.1858%