Run: 2026-02-19-01KHTRPFQ1S1MKG3ZKJ4Z738B4

Run Details

Model:
o4 Mini
Duration:
33.0s
Cost:
$0.014859
Provider:
OpenAI

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
Rain slicked the pavements in Soho, turning streetlamps into molten gold. Detective Harlow Quinn pressed her shoulder against the patrol car door, boot heels crunching on wet asphalt. She angled her chin toward the lean silhouette slipping through the back entrance of the Raven’s Nest. Green neon haloed the bar’s name, its glow reflected in her sharp brown eyes. She launched forward. Leather watch creaked as she raised her arm. She jerked her head, memorised the figure’s hunched shoulders, the black hoodie trailing water. Eight years in the Marines sharpened her instincts. She smelled danger. “He’s mine,” she rasped. Footsteps splashed behind her. The suspect reached the curb, veered left. Quinn’s boots thudded on leftover puddles. She cleared four strides in one bound. “You’re not getting away,” she called. No answer. Only the hum of traffic and distant sirens. Her breath came in controlled bursts. She tracked him toward Greek Street, cold air biting her lungs. Neon signs flickered above shuttered shops. She cut through a side alley, hands ready on the Glock at her hip. The suspect skidded around a dumpster, glancing over a shoulder. Quinn closed ground in two strides. His hoodie fell open for a heartbeat. She saw a bone-white token hanging from his neck. A small carved femur. He bolted again, lunging for a manhole cover. She planted her palm on rusted iron. It rolled aside. He dove in. Quinn didn’t hesitate. She yanked the cover free, kicked it aside, and dropped through the gap. Water stung her ears as she hit the tunnel floor. She pushed up, boots splashing in freezing runoff. Pipes overhead hissed. Darkness swallowed her. “Stop!” Her voice bounced off concrete. A distant echo answered: footsteps splintering into the void. She followed the echo down soggy tracks. Walls curved inward, graffiti on cracked tiles spelling out messages she couldn’t read. Her watch face shone in the gloom, its hands ticking with clinical precision. A flicker of orange light bloomed around a corner. She advanced, weapon raised. Shadows scuttled at the edge of her vision. She paused. Muffled voices drifted from beyond a boarded-up platform. She stepped over broken rail sleepers. Stalls lined a narrow corridor. Lanterns hung low, casting long shadows. Tables held jars of glowing powder, vials of dark liquid, bone trinkets arranged like offerings. Hooded figures bartered in hushed tones. One flashed a pile of banknotes. Another weighed silver coins on a brass scale. She recognised the market from whispers. The Veil Market. Every full moon it shifted beneath the city. Today it anchored here, in an abandoned Tube station beneath Camden. Entry cost a bone token. Tonight it bustled with creatures who dealt in forbidden wares. Quinn’s jaw clenched. She crouched behind a stall draped in moth-eaten velvet. Her pulse echoed in her ears. She angled her pistol at a guard blocking the next passage. The guard’s eyes glowed faintly red. His teeth sharpened into points when he smiled at a customer. Her target stood just ahead, trading the bone token for a rolled parchment. He tucked it inside his jacket. He sprinted down the corridor as the guard raised an arm. A bell chimed. Doors creaked open at the tunnel’s far end. Quinn stepped forward, gut coiling. She’d lost DS Morris to something like this three years ago. She’d never understood what pulled him under. Unfinished business lingered with every step she took in the subterranean dark. “Stop,” she said again, low and firm. Her target paused. He twisted. A sliver of moonlight from a broken skylight mapped his face in icy relief. Rain traced down his cheeks. He edged toward the threshold, where the tunnel led back to the street. Quinn’s mind raced. The parchment might be evidence. Or a map to worse horrors. She needed him alive. She checked the magazine’s clip. Four rounds. Enough. A vendor across the way banged a wooden tray. “No weapons,” he warned in a gravelly voice. Quinn didn’t flinch. She aimed. The suspect dove toward a side passage. Quinn sprinted, knocking over a crate of rattling skulls. Sharpened teeth clattered on stone. The guard blocked her path, massive frame filling the tunnel. Quinn sidestepped, lashed out with her elbow. He grunted, stumbled. She grabbed his shoulder, shoved him into a stack of bone tokens. They exploded onto the floor. She kicked the guard aside and took off. The suspect’s footsteps pounded ahead. She heard them vanish around a bend. She pivoted, chased the echo deeper. The ceiling dropped. Damp brick replaced tile. Water dripped from crevices. She skirted pools glowing faint green. She spotted fresh footprints in the muck. She followed them to a makeshift archway draped in torn cloth. Beyond lay a platform. Rusty tracks stretched into darkness. A single carriage stood at the far end, doors yawning. Headlights from the abandoned tunnel flickered, then died. He was inside. She raised her gun. He turned, boots scraping metal. He held out the parchment. “You shouldn’t have come,” he said. Quinn’s eyes narrowed. “Let me see that.” He shook his head. “You don’t belong here.” Her boots rang on the platform. She kept the distance tight. “I belong wherever criminals run.” He laughed—short, sharp. “This place doesn’t answer to your badge.” He lunged for the carriage. She fired once. The shot cracked the silence. He stumbled, clutching his shoulder, parchment slipping from his grip. She advanced. The carriage rocked. A horn sounded faint beyond the tunnel’s mouth. She risked a glance back. Figures gathered at the archway. Traders swarmed forward, whispers growing into a low roar. They eyed her uniform, then the weapon. She knew how this would end if she hesitated. She kicked the parchment toward her. It fluttered at her feet. She snatched it up. He rolled to one knee, sliding toward the carriage open door. She pointed the gun. “On your knees,” she ordered. He complied. Water dripped from his face. He held out a hand. “Tell me what this is.” He spit blood. “The market moves every full moon. This map shows where.” He coughed. “You’ll never get it back once they realise.” She gauged the distance to the carriage. Traders pressed forward, eyes cold. She could clear a path or disappear into the crowd. She pressed a finger to her lips, then tucked the parchment into her coat. Rain pattered through holes above. She glanced at the tunnel arch. The street level was a few blocks away. She lifted her head. “Stay where you are.” He nodded, panic widening his eyes. She signalled to the closest trader. “Move aside. Let me pass.” The trader held still. Quinn slipped her Glock into a pocket. She raised her free hand, palm open. She said something in a clipped tone. The trader hesitated, then leaned back. Quinn offered the suspect a wary look. “I’ll keep watch.” She stepped past him and toward the passage. The market’s hum stilled. She felt every pair of eyes tracking her. She reached the archway and peered into the corridor. The guard from before stirred among a knot of stalls. He saw her. He spat on the ground. She squared her shoulders, flicked the safety off her sidearm with one thumb. Her leather watch gleamed against her sleeve. She could climb out, vanish into the night, leave this place behind. Or she could dive deeper, find out what lurked beneath London’s veins. Above, thunder rumbled. A trickle of moonlight fell onto the broken tracks. She’d promised answers. She’d lost her partner to this kind of darkness. She took a breath. She stepped back into The Veil Market.
created_at"2026-02-19T10:56:25.83Z" 2/19/2026, 10:56:25 AM
model"openai/o4-mini-2025-04-16"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4832
moderation_latency(null)
generation_time32799
tokens_prompt1140
tokens_completion2293
native_tokens_prompt984
native_tokens_completion3131
native_tokens_completion_images0
native_tokens_reasoning1408
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"completed"
usage0.0148588
router(null)
provider_responses
0
endpoint_id"bd121898-b27c-4e2c-bc92-278627465a54"
id"resp_00b997331b8eb3cb016996ec59fbf88190801752afbbbe8646"
is_byokfalse
latency171
model_permaslug"openai/o4-mini-2025-04-16"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771498585-wvYlAzaCjqR1tgNOgnBE"
upstream_id"resp_00b997331b8eb3cb016996ec59fbf88190801752afbbbe8646"
total_cost0.0148588
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
82.35% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount1
adverbTags
0"she said again [again]"
dialogueSentences17
tagDensity0.471
leniency0.941
rawRatio0.125
effectiveRatio0.118
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1268
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)
25.08% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1268
totalAiIsms19
found
0
word"footsteps"
count3
1
word"flickered"
count2
2
word"echo"
count3
3
word"gloom"
count1
4
word"flicker"
count1
5
word"jaw clenched"
count1
6
word"velvet"
count1
7
word"pulse"
count1
8
word"echoed"
count1
9
word"traced"
count1
10
word"raced"
count1
11
word"silence"
count1
12
word"fluttered"
count1
13
word"flicked"
count1
highlights
0"footsteps"
1"flickered"
2"echo"
3"gloom"
4"flicker"
5"jaw clenched"
6"velvet"
7"pulse"
8"echoed"
9"traced"
10"raced"
11"silence"
12"fluttered"
13"flicked"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"jaw/fists clenched"
count1
highlights
0"eyes narrowed"
1"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences179
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences179
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences188
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen17
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1264
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount1192
uniqueNames18
maxNameDensity1.09
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn13
Raven1
Nest1
Marines1
Footsteps1
Greek1
Street1
Glock2
Veil2
Market2
Tube1
Camden1
Morris1
London1
Rain3
Water3
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Footsteps"
4"Morris"
5"Rain"
6"Water"
places
0"Soho"
1"Greek"
2"Street"
3"Veil"
4"London"
globalScore0.955
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences103
glossingSentenceCount1
matches
0"something like this three years ago"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1264
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences188
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean25.8
std15.64
cv0.606
sampleLengths
059
136
24
324
46
547
636
721
840
96
1042
1137
1246
1343
1446
1541
1635
177
1837
1926
2022
2158
2226
2335
2427
2517
266
277
288
2916
3010
3128
3243
3330
345
3512
365
3723
3836
3919
408
4117
4231
4310
4447
4544
4624
474
487
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences179
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs257
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences188
ratio0.005
matches
0"He laughed—short, sharp."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1196
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.019230769230769232
lyAdverbCount3
lyAdverbRatio0.002508361204013378
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences188
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences188
mean6.72
std3.28
cv0.488
sampleLengths
011
117
217
314
43
58
614
78
83
94
104
117
126
137
146
152
168
176
1811
196
2014
2110
226
237
249
254
268
277
283
293
303
3113
3210
338
343
353
366
379
387
3913
4013
419
424
438
442
458
466
475
486
4915
42.02% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.2978723404255319
totalSentences188
uniqueOpeners56
20.08% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences166
matches
0"Only the hum of traffic"
ratio0.006
7.95% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount88
totalSentences166
matches
0"She angled her chin toward"
1"She launched forward."
2"She jerked her head, memorised"
3"She smelled danger."
4"She cleared four strides in"
5"Her breath came in controlled"
6"She tracked him toward Greek"
7"She cut through a side"
8"His hoodie fell open for"
9"She saw a bone-white token"
10"He bolted again, lunging for"
11"She planted her palm on"
12"It rolled aside."
13"He dove in."
14"She yanked the cover free,"
15"She pushed up, boots splashing"
16"Her voice bounced off concrete"
17"She followed the echo down"
18"Her watch face shone in"
19"She advanced, weapon raised."
ratio0.53
5.18% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount151
totalSentences166
matches
0"Rain slicked the pavements in"
1"Detective Harlow Quinn pressed her"
2"She angled her chin toward"
3"She launched forward."
4"Leather watch creaked as she"
5"She jerked her head, memorised"
6"She smelled danger."
7"Footsteps splashed behind her."
8"The suspect reached the curb,"
9"Quinn’s boots thudded on leftover"
10"She cleared four strides in"
11"Her breath came in controlled"
12"She tracked him toward Greek"
13"Neon signs flickered above shuttered"
14"She cut through a side"
15"The suspect skidded around a"
16"Quinn closed ground in two"
17"His hoodie fell open for"
18"She saw a bone-white token"
19"A small carved femur."
ratio0.91
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences166
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount3
fancyTags
0"he warned (warn)"
1"she ordered (order)"
2"He coughed (cough)"
dialogueSentences17
tagDensity0.353
leniency0.706
rawRatio0.5
effectiveRatio0.353
77.7555%