Run: 2026-02-17-01KHNF64AABJM0G2G69KQKT35Y

Run Details

Duration:
27.6s
Cost:
$0.000859
Provider:
ModelRun

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 pavement into a mirrored nightmare. Detective Harlow Quinn wiped water from her face with the back of her wrist, leather watchband scraping against her cheek. There—between the bouncing neon reflections—the suspect darted around the corner toward The Raven’s Nest. She pushed off the brick wall, combat boots splashing through oily puddles. The whiskey she’d nursed earlier burned in her gut. Not nearly enough to dull the edge. "Met Police! Stop!" The figure ahead—male, hooded, moving with unnatural speed—ignored her shout. Tommy Herrera had patched up enough bullet wounds in back alleys to recognize trouble when it knocked. Three years ago, Quinn might have hesitated before pursuing a civilian into the dark. But Morris’ absence had hardened her. She vaulted over a stack of soggy produce crates outside a shuttered market, landing hard enough to rattle her teeth. The green neon sign above The Raven’s Nest buzzed and flickered ahead like a guttering candle. The suspect didn’t head for the door. Instead, he veered toward the alley beside it, where the shadows swallowed him whole. Quinn drew her sidearm. Her pulse hammered against her ribs as she approached the alley mouth. Dumpsters lined the left wall, their rancid contents overflowing. Something moved near the far end—too quick, too fluid. Normal humans didn’t move like that. "Last warning, Herrera!" No answer. She edged forward, weapon steady. The back of her neck prickled. Too many odd-case reports passed through her desk lately—missing persons with claw marks on their doors, CCTV footage with inexplicable gaps. Morris would’ve teased her paranoia. But Morris wasn’t here. A glint of metal caught her eye near the ground. Quinn crouched, keeping her gun trained downrange. A Saint Christopher medallion lay discarded in the filth, chain snapped. Fresh scuff marks scored the brickwork beside a false-looking HVAC unit. Quinn pushed it—and the entire panel swung inward on silent hinges. A tunnel yawned beyond, sloping downward into darkness. The air smelled of wet stone and something sharper—ozone, maybe. Magic. "Christ." Her radio crackled at her hip. Backup was five minutes out. Five minutes too late. Steeling herself, Quinn stepped over the threshold. The panel clicked shut behind her, sealing her in. Only the dim glow of bioluminescent fungus clinging to the walls lit her path as the corridor twisted deeper underground. The sound of distant chatter drifted up—hundreds of voices layered over the rhythmic dripping of groundwater. She emerged onto an iron walkway overlooking a cavernous space. The abandoned Tube station beneath Camden had been transformed. Makeshift stalls sprawled across the tracks, their lanterns casting shifting shadows on vaulted ceilings. Patrons haggled over vials of swirling liquid, strange weapons, sacks of unidentifiable organic matter. The Veil Market. Quinn’s grip on her gun tightened. Whether this was a supernatural black market or some elaborate front for human trafficking, she was out of jurisdiction and out of her depth. Protocol demanded she withdraw and call in reinforcements. Then she spotted him. Tommy crouched near a stall selling carved bones, whispering urgently to a hooded merchant. Blood dripped from a gash on his forearm—the old knife scar bisected by fresh injury. inset of his sleeve. Quinn hesitated. If she revealed herself here, she’d blow any implementations. But letting him vanish into this den of monsters wasn’t an option. She took the first step down the rusted staircase. Every eye in the market flicked toward her. The ambient noise died. Tommy stiffened as Serbian curses hissed through the crowd. His head snapped up—their gazes locked across the underground expanse. For a heartbeat, neither moved. Then Tommy bolted deeper into the market. Quinn swore and gave chase, her badge glinting under the flickering lamplight. She was done letting mysteries slip through her fingers. Whatever waited in the shadows tonight, she’d drag it into the light—even if it dragged her down with it.
created_at"2026-02-17T09:34:28.819074+00:00" 2/17/2026, 9:34:28 AM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1853
moderation_latency(null)
generation_time27599
tokens_prompt914
tokens_completion1092
native_tokens_prompt826
native_tokens_completion901
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached5
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"
usage0.00085897
router(null)
provider_responses
0
id"chatcmpl-ce974fc0875b4c0d9e9c9ecf807620e3"
status200
is_byokfalse
latency77
endpoint_id"a3938710-1b99-4a1f-85f4-2494f3f659d3"
provider_name"ModelRun"
model_permaslug"deepseek/deepseek-chat-v3-0324"
api_type"completions"
id"gen-1771320840-PjWMzpR9MXhLtKrE3Gnk"
upstream_id"chatcmpl-ce974fc0875b4c0d9e9c9ecf807620e3"
total_cost0.00085897
cache_discount(null)
upstream_inference_cost0
provider_name"ModelRun"

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)
wordCount660
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)
54.55% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount660
totalAiIsms6
found
0
word"flickered"
count1
1
word"pulse"
count1
2
word"glint"
count1
3
word"rhythmic"
count1
4
word"flicked"
count1
5
word"glinting"
count1
highlights
0"flickered"
1"pulse"
2"glint"
3"rhythmic"
4"flicked"
5"glinting"
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
narrationSentences65
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences65
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords646
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
79.02% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount634
uniqueNames15
maxNameDensity1.42
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn9
Raven2
Nest2
Herrera1
Morris2
Saint1
Christopher1
Tube1
Camden1
Veil1
Market1
Serbian1
Tommy4
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Herrera"
5"Morris"
6"Saint"
7"Christopher"
8"Camden"
9"Tommy"
places
0"Soho"
globalScore0.79
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount646
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences68
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean26.92
std17.9
cv0.665
sampleLengths
048
128
23
347
457
54
636
73
82
941
1028
1141
121
1315
1452
1550
1638
174
1833
1923
2021
2119
2212
2340
99.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences65
matches
0"been transformed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs114
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences10
totalSentences68
ratio0.147
matches
0"There—between the bouncing neon reflections—the suspect darted around the corner toward The Raven’s Nest."
1"The figure ahead—male, hooded, moving with unnatural speed—ignored her shout."
2"Something moved near the far end—too quick, too fluid."
3"Too many odd-case reports passed through her desk lately—missing persons with claw marks on their doors, CCTV footage with inexplicable gaps."
4"Quinn pushed it—and the entire panel swung inward on silent hinges."
5"The air smelled of wet stone and something sharper—ozone, maybe."
6"The sound of distant chatter drifted up—hundreds of voices layered over the rhythmic dripping of groundwater."
7"Blood dripped from a gash on his forearm—the old knife scar bisected by fresh injury."
8"His head snapped up—their gazes locked across the underground expanse."
9"Whatever waited in the shadows tonight, she’d drag it into the light—even if it dragged her down with it."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount653
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.026033690658499236
lyAdverbCount5
lyAdverbRatio0.007656967840735069
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean9.5
std5.23
cv0.55
sampleLengths
014
120
214
312
49
57
63
710
817
914
106
1120
1216
137
1414
154
1612
179
189
196
203
212
225
236
2421
255
264
2710
287
2911
3011
3111
328
3310
341
351
366
375
384
397
409
4120
4216
4310
449
4514
4614
473
486
4924
94.12% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5735294117647058
totalSentences68
uniqueOpeners39
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences61
matches
0"Instead, he veered toward the"
1"Too many odd-case reports passed"
2"Only the dim glow of"
3"Then she spotted him."
4"Then Tommy bolted deeper into"
ratio0.082
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences61
matches
0"She pushed off the brick"
1"She vaulted over a stack"
2"Her pulse hammered against her"
3"She edged forward, weapon steady."
4"Her radio crackled at her"
5"She emerged onto an iron"
6"She took the first step"
7"His head snapped up—their gazes"
8"She was done letting mysteries"
ratio0.148
99.34% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences61
matches
0"The rain came down in"
1"Detective Harlow Quinn wiped water"
2"There—between the bouncing neon reflections—the"
3"She pushed off the brick"
4"The whiskey she’d nursed earlier"
5"The figure ahead—male, hooded, moving"
6"Tommy Herrera had patched up"
7"She vaulted over a stack"
8"The green neon sign above"
9"The suspect didn’t head for"
10"Quinn drew her sidearm."
11"Her pulse hammered against her"
12"Dumpsters lined the left wall,"
13"Something moved near the far"
14"She edged forward, weapon steady."
15"The back of her neck"
16"Morris would’ve teased her paranoia."
17"A glint of metal caught"
18"Quinn crouched, keeping her gun"
19"A Saint Christopher medallion lay"
ratio0.721
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences61
matches
0"Whether this was a supernatural"
1"If she revealed herself here,"
ratio0.033
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount0
matches(empty)
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
94.2298%