Run: 2026-02-17-01KHNF6Q4T8QYQ0847VF98PPGZ

Run Details

Duration:
25.7s
Cost:
$0.001494
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 maze of neon reflections and oily puddles. Detective Harlow Quinn sprinted past the green glow of The Raven's Nest, her boots splashing through the gutter. Ahead, the suspect—a wiry figure in a soaked hoodie—darted around a corner with unnatural agility. Her breath came in sharp bursts, the damp air burning her lungs. Eighteen years on the force had taught her when a chase felt wrong. This one had that electric tingle up her spine, the same she'd felt three years ago with Morris. She adjusted the worn leather watch on her wrist, pushing the memory aside. "Met Police! Stop!" Her command dissolved into the drumming rain. The figure vaulted over a stack of crates with ease, landing in a crouch before disappearing down a service alley. Quinn followed, her sharp jaw set. The alley narrowed to a dead end—empty except for a rusted maintenance hatch hanging open. A cold draft wafted up from the darkness below. She pulled her torch, the beam revealing rungs descending into the earth. The radio at her hip crackled. Backup was eight minutes out. Too long. She hesitated, fingertips brushing her sidearm. The hatch smelled of damp concrete and something else—ozone and burnt herbs. Unfamiliar. Wrong. Then a sound—a faint clang of metal from below. The suspect was moving. Quinn descended. The rungs ended in a cavernous space that shouldn't exist—an abandoned Tube station, its arched ceilings strung with flickering lanterns. Stalls lined the platforms, their awnings flapping in the subterranean breeze. The air hummed with low voices and the clink of glass. The Veil Market. She'd heard whispers in the squad room. A place that didn't appear on any maps. Her suspect melted into the crowd. Quinn moved forward, hand resting near her holster. The vendors' eyes tracked her—some curious, others hostile. A woman with too-sharp teeth smiled from behind a table of amber vials. "Lost, darling?" Quinn ignored her, scanning the crowd. There—by the far platform. The hooded figure slipped behind a curtain. She followed, pushing past a group haggling over what looked like a human finger bone. The curtain led to a narrower tunnel, the walls slick with condensation. The sound of footsteps echoed ahead. Then—a dead end. The tunnel opened into a circular chamber where her suspect stood waiting, hood now lowered. Not a suspect. Tomás Herrera leaned against the damp brickwork, his Saint Christopher medallion glinting in the dim light. The scar along his forearm stood pale against his olive skin. "You shouldn't be here, Detective." His Spanish accent curled around the words. Quinn's fingers twitched. "Herrera. You're a hard man to find." "For good reason." He pushed off the wall. "This isn't your world." She stepped closer. "Tell me about the bodies in Whitechapel. The ones with the—" "Bite marks?" He laughed, bitter. "You think this is some gang war? Look around you." A shadow moved at the edge of her vision. Too tall. Too still. Quinn drew her weapon. "Enough games." Tomás sighed. "Put that away before you attract the wrong attention." The air thickened. The lanterns flickered. Somewhere in the market, glass shattered. Tomás grabbed her wrist, his grip firm. "If you want answers about Morris, come with me. Now." Her pulse spiked at her partner's name. Another sound—a wet, clicking noise from the tunnel behind them. Quinn made her choice. She holstered the gun. Tomás pulled her through a hidden door in the brickwork, sealing it just as something heavy slammed against the other side. In the darkness, his breath was warm against her ear. "Welcome to the real London." The door shuddered. Quinn exhaled. The chase wasn't over. It had only just begun.
created_at"2026-02-17T09:34:45.8686+00:00" 2/17/2026, 9:34:45 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1033
moderation_latency(null)
generation_time25638
tokens_prompt914
tokens_completion1024
native_tokens_prompt826
native_tokens_completion895
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"
usage0.0014939
router(null)
provider_responses
0
id"ed95592d50f6a5b9369f1bf7b835c548"
status200
is_byokfalse
latency1033
endpoint_id"cefb5a1e-9fea-4496-9a64-4e1b11a7cc8c"
provider_name"Novita"
model_permaslug"deepseek/deepseek-chat-v3"
api_type"completions"
id"gen-1771320859-rTOnntm6jbAoluOP4Ukh"
upstream_id"ed95592d50f6a5b9369f1bf7b835c548"
total_cost0.0014939
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
73.08% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount1
adverbTags
0"His Spanish accent curled around [around]"
dialogueSentences13
tagDensity0.308
leniency0.615
rawRatio0.25
effectiveRatio0.154
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount632
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)
36.71% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount632
totalAiIsms8
found
0
word"electric"
count1
1
word"scanning"
count1
2
word"footsteps"
count1
3
word"echoed"
count1
4
word"glinting"
count1
5
word"flickered"
count1
6
word"shattered"
count1
7
word"pulse"
count1
highlights
0"electric"
1"scanning"
2"footsteps"
3"echoed"
4"glinting"
5"flickered"
6"shattered"
7"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
narrationSentences68
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences68
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences77
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords621
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
66.82% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount541
uniqueNames14
maxNameDensity1.66
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn9
Raven1
Nest1
Morris1
Tube1
Veil1
Market1
Herrera1
Saint1
Christopher1
Spanish1
Tomás4
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Herrera"
5"Saint"
6"Christopher"
7"Tomás"
places
0"Soho"
1"Market"
globalScore0.668
windowScore0.833
90.48% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences42
glossingSentenceCount1
matches
0"looked like a human finger bone"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount621
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences77
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean15.92
std13.89
cv0.872
sampleLengths
053
156
230
342
413
520
613
72
842
93
1015
1135
122
1317
1433
1518
163
1727
1812
1910
2012
2114
2215
2313
246
2511
266
276
2817
297
3010
314
324
3321
3415
353
362
374
385
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences68
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs86
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences9
totalSentences77
ratio0.117
matches
0"Ahead, the suspect—a wiry figure in a soaked hoodie—darted around a corner with unnatural agility."
1"The alley narrowed to a dead end—empty except for a rusted maintenance hatch hanging open."
2"The hatch smelled of damp concrete and something else—ozone and burnt herbs."
3"Then a sound—a faint clang of metal from below."
4"The rungs ended in a cavernous space that shouldn't exist—an abandoned Tube station, its arched ceilings strung with flickering lanterns."
5"The vendors' eyes tracked her—some curious, others hostile."
6"There—by the far platform."
7"Then—a dead end."
8"Another sound—a wet, clicking noise from the tunnel behind them."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount559
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.025044722719141325
lyAdverbCount2
lyAdverbRatio0.0035778175313059034
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences77
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences77
mean8.06
std5.15
cv0.639
sampleLengths
020
118
215
312
413
518
613
710
820
96
1015
119
1212
136
145
152
166
1712
181
191
209
214
222
2320
2411
2511
263
277
288
296
308
318
3213
332
346
354
367
3715
3812
396
403
4115
423
4316
4411
4512
463
477
488
494
66.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.42857142857142855
totalSentences77
uniqueOpeners33
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences59
matches
0"Then a sound—a faint clang"
1"Then—a dead end."
2"Somewhere in the market, glass"
ratio0.051
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences59
matches
0"Her breath came in sharp"
1"She adjusted the worn leather"
2"Her command dissolved into the"
3"She pulled her torch, the"
4"She hesitated, fingertips brushing her"
5"She'd heard whispers in the"
6"Her suspect melted into the"
7"She followed, pushing past a"
8"His Spanish accent curled around"
9"He pushed off the wall"
10"She stepped closer."
11"He laughed, bitter"
12"Her pulse spiked at her"
13"She holstered the gun."
14"It had only just begun."
ratio0.254
19.32% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences59
matches
0"The rain came down in"
1"Detective Harlow Quinn sprinted past"
2"Her breath came in sharp"
3"This one had that electric"
4"She adjusted the worn leather"
5"Her command dissolved into the"
6"The figure vaulted over a"
7"Quinn followed, her sharp jaw"
8"The alley narrowed to a"
9"A cold draft wafted up"
10"She pulled her torch, the"
11"The radio at her hip"
12"Backup was eight minutes out."
13"She hesitated, fingertips brushing her"
14"The hatch smelled of damp"
15"The suspect was moving."
16"The rungs ended in a"
17"Stalls lined the platforms, their"
18"The air hummed with low"
19"The Veil Market."
ratio0.881
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences59
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount1
matches
0"The rungs ended in a cavernous space that shouldn't exist—an abandoned Tube station, its arched ceilings strung with flickering lanterns."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount1
matches
0"He laughed, bitter"
73.08% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"He laughed (laugh)"
dialogueSentences13
tagDensity0.077
leniency0.154
rawRatio1
effectiveRatio0.154
80.8572%