Run: 2026-02-17-01KHNEV4W3FF4V9AG701NTCJAG

Run Details

Duration:
32.3s
Cost:
$0.001517
Provider:
Novita

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The rain came down in sheets, turning the Soho streets into a shimmering black mirror. Detective Harlow Quinn sprinted after the figure in the dark hoodie, her boots splashing through oily puddles. The neon sign of The Raven's Nest—that distinctive green glow—reflected in the wet pavement behind her as she gave chase. "Met Police! Stop!" Her voice cut through the drumming rain, but the suspect didn't even glance back. She adjusted her grip on her service weapon, not drawing it yet, but ready. The suspect darted left into an alley, and Quinn followed, her breath steady despite the burn in her lungs. Eighteen years on the force had taught her how to pace herself in a pursuit. The alley narrowed, trash bags piled against the brick walls, the stench of rotting food thick in the damp air. The suspect vaulted over a rusted fire escape ladder, landing with a splash on the other side. Quinn didn't hesitate—she grabbed the metal rung and swung herself over, her worn leather watch catching on the edge. A sharp tug, and the strap held. She lost sight of the suspect for a heartbeat as he rounded another corner. When she caught up, he was gone. Quinn slowed, scanning the rain-slicked street. No doors had opened. No footsteps echoed ahead. Then she saw it—a grate in the pavement, slightly ajar. Fresh scuff marks on the metal. She crouched, fingers brushing the cold iron. Below, darkness. The distant hum of voices. Her radio crackled at her hip. "Quinn, status?" She hesitated. Protocol said call for backup. Wait for uniforms to secure the area. But backup meant questions. Paperwork. And this lead—this was personal. Three years since Morris had vanished. Three years of dead ends. Until tonight. She keyed the radio. "In pursuit. Lost visual. Checking adjacent streets." A lie. But Morris had been her partner. Her friend. If there was even a chance this was connectedQuinn holstered her radio, gripped the edge of the grate, and pulled. The metal groaned open, revealing a ladder descending into the dark. The smell of damp concrete and something else—ozone, maybe. Like the air before a storm. She climbed down, the rungs slick under her fingers. The tunnel below was dimly lit by flickering bulbs, the walls lined with pipes and old wiring. The hum of voices grew clearer—not English. Something older. A shadow moved at the edge of her vision. Quinn turned, hand on her weapon. "Show yourself." The man who stepped into the light was young, olive-skinned, with short curly hair. A scar ran along his left forearm, visible beneath his rolled-up sleeves. A Saint Christopher medallion glinted at his throat. "You're not supposed to be here," he said, his accent Spanish. "Metropolitan Police," Quinn said, flashing her badge. "I'm pursuing a suspect." Tomás Herrera exhaled sharply. "This isn't your jurisdiction, Detective." "Then what is it?" His dark eyes flicked toward the tunnel's end, where the hum of voices grew louder. "A place you don't want to go without the right token." Quinn's jaw tightened. "Try me." Tomás hesitated, then reached into his pocket. He pulled out a small, carved bone—a token, she realized. "If you follow him in there, they'll know you don't belong. And they don't like trespassers." She studied his face. No fear. Just warning. "Who are you?" "Someone who patches up the people who make it back out." He held out the token. "Take it or walk away. But decide fast." The voices down the tunnel rose in a sudden burst of laughter. Something about the sound set her teeth on edge. Not human. Not quite. Quinn took the token. It was warm in her palm. Tomás nodded. "Stay close. And don't touch anything." She followed him toward the light, her pulse steady, her fingers brushing the grip of her gun. Whatever lay ahead, she was going in. For Morris. For the truth. Even if it cost her.
created_at"2026-02-17T09:28:33.107547+00:00" 2/17/2026, 9:28:33 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1947
moderation_latency(null)
generation_time32244
tokens_prompt914
tokens_completion1034
native_tokens_prompt826
native_tokens_completion913
native_tokens_completion_images0
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"
usage0.0015173
router(null)
provider_responses
0
id"428fd119eb0ccb2784610447259ad076"
status200
is_byokfalse
latency1947
endpoint_id"cefb5a1e-9fea-4496-9a64-4e1b11a7cc8c"
provider_name"Novita"
model_permaslug"deepseek/deepseek-chat-v3"
api_type"completions"
id"gen-1771320480-MrBQVJOJEqTsl10fBuA6"
upstream_id"428fd119eb0ccb2784610447259ad076"
total_cost0.0015173
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.188
leniency0.375
rawRatio0
effectiveRatio0
84.98% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount666
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"sharply"
count1
highlights
0"slightly"
1"sharply"
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)
62.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount666
totalAiIsms5
found
0
word"scanning"
count1
1
word"footsteps"
count1
2
word"echoed"
count1
3
word"flicked"
count1
4
word"pulse"
count1
highlights
0"scanning"
1"footsteps"
2"echoed"
3"flicked"
4"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
narrationSentences72
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences72
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen22
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords655
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
70.07% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount563
uniqueNames12
maxNameDensity1.6
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn9
Raven1
Nest1
Morris3
English1
Saint1
Christopher1
Spanish1
Tomás3
Herrera1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Saint"
5"Christopher"
6"Spanish"
7"Tomás"
8"Herrera"
places
0"Soho"
globalScore0.701
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences42
glossingSentenceCount0
matches(empty)
47.33% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.527
wordCount655
matches
0"not drawing it yet, but ready"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences83
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean21.13
std14.72
cv0.697
sampleLengths
052
117
248
363
421
530
614
78
824
913
1030
1138
1235
139
148
1534
1611
1711
189
194
2026
215
2233
2311
2424
2525
2610
278
2817
2912
305
95.52% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences72
matches
0"was gone"
1"was connected"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs94
matches
0"was going"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences8
totalSentences83
ratio0.096
matches
0"The neon sign of The Raven's Nest—that distinctive green glow—reflected in the wet pavement behind her as she gave chase."
1"Quinn didn't hesitate—she grabbed the metal rung and swung herself over, her worn leather watch catching on the edge."
2"Then she saw it—a grate in the pavement, slightly ajar."
3"And this lead—this was personal."
4"If there was even a chance this was connected—"
5"The smell of damp concrete and something else—ozone, maybe."
6"The hum of voices grew clearer—not English."
7"He pulled out a small, carved bone—a token, she realized."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount574
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.0156794425087108
lyAdverbCount5
lyAdverbRatio0.008710801393728223
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean7.89
std5.24
cv0.664
sampleLengths
015
117
220
317
414
519
615
720
817
919
107
1114
127
136
144
154
1610
176
187
192
205
216
222
232
245
257
264
271
285
296
305
312
324
339
346
352
369
3712
3811
399
406
419
4217
437
442
459
466
472
4814
4912
76.71% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.5180722891566265
totalSentences83
uniqueOpeners43
56.50% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences59
matches
0"Then she saw it—a grate"
ratio0.017
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences59
matches
0"Her voice cut through the"
1"She adjusted her grip on"
2"She lost sight of the"
3"She crouched, fingers brushing the"
4"Her radio crackled at her"
5"She keyed the radio."
6"She climbed down, the rungs"
7"he said, his accent Spanish"
8"His dark eyes flicked toward"
9"He pulled out a small,"
10"She studied his face."
11"He held out the token"
12"It was warm in her"
13"She followed him toward the"
ratio0.237
95.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount43
totalSentences59
matches
0"The rain came down in"
1"Detective Harlow Quinn sprinted after"
2"The neon sign of The"
3"Her voice cut through the"
4"She adjusted her grip on"
5"The suspect darted left into"
6"The alley narrowed, trash bags"
7"The suspect vaulted over a"
8"Quinn didn't hesitate—she grabbed the"
9"A sharp tug, and the"
10"She lost sight of the"
11"Quinn slowed, scanning the rain-slicked"
12"She crouched, fingers brushing the"
13"The distant hum of voices."
14"Her radio crackled at her"
15"Protocol said call for backup."
16"She keyed the radio."
17"Quinn holstered her radio, gripped"
18"The metal groaned open, revealing"
19"The smell of damp concrete"
ratio0.729
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences59
matches
0"If there was even a"
1"Even if it cost her."
ratio0.034
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount1
matches
0"The man who stepped into the light was young, olive-skinned, with short curly hair."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences16
tagDensity0.125
leniency0.25
rawRatio0
effectiveRatio0
89.6387%