Run: 2026-02-19-01KHTQRS65VCWCKYBQHQHPSD9A

Run Details

Duration:
2m 11s
Cost:
$0.069005
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
Under the flicker of a green neon sign, Detective Harlow Quinn pressed her back against rusty steel and counted rain’s rhythm on tin. Droplets trickled from her closely cropped salt-and-pepper hair, darkening her trench coat until it clung to her sharp jawline. She angled her worn leather watch so its face caught the neon glow. Footsteps echoed behind the bar’s heavy double doors. A hidden panel in the bookshelves slid open with a whisper. A man slipped through, shoulders hunched beneath a soaked canvas satchel. She shifted weight, boots squelching in puddles. Flashlight pinched between her teeth. She leapt, shoulder driving into the man’s back. “Police.” He lurched away, coat flaring. The chase began. He bolted into the street, body arcing between idling cabs. Horns cracked. Taillights smeared like red bruises across her vision. She closed the gap. Rain battered her coat. She gulped cold air that tasted like oysters. She swung her arm, lamp slicing through night, splayed on soaked pavement. He lunged between two idling cabs, coat flaring under floodlights. “Beat it, copper!” “Not tonight.” He veered down a narrow alley. The alley yawned like a wound. Trash lay piled against graffiti-tagged walls. An oily sheen coated the cobblestones. He charged past rain-sodden bins. She twisted through them, thumb bridging her pistol’s grip. He cleared a low fence in one motion. She vaulted after, fingers scraping at rust. She raised her voice. “Turn around!” He swore, yanked the handle of a service door. The door gave. He went inside. She stabbed the lock. Metal groaned. Spikes of light slit the crack at the door’s edge. She slipped in behind him. Steam curled off the tiled floor as she dropped to all fours in the gloom. A stairwell plunged downward. Each step dripped with water. Pipes overhead rattled in time with her pulse. She flicked on her torch. The beam carved an arc of yellow light, capturing carved runes etched into stone. Labels, symbols she didn’t recognise. She descended. Footsteps ahead pounded in answer. Muddy prints pooled in shallow rivulets. At the bottom, a carved skull yawned in metal. He crouched beside it, fingers tracing a small notch. He produced a white bone token, then pressed it into an eye socket. A muted click. The skull’s jaw swung aside. A door yawed open. She rose to her feet, boots splashing in puddles. Beyond the skull door lay a cavern hung with lanterns. Wooden stalls arranged in tight rows led her gaze toward a ragged crowd. She tightened her grip on her service pistol. The suspect moved through the first aisle, satchel swinging at his side. His coat brushed frayed banners that drooped from iron hooks overhead. A voice rasped. “No entry for the faint of heart.” Quinn jutted her chin. “Step aside.” The speaker, draped in leather stitched with bone fragments, didn’t move. The man she pursued crouched behind a stall. Lantern light danced across jars of purple powders, vials of iridescent oozes. A merchant chopped a dried root with a bone knife, then slipped it into a leather pouch. Shoppers bartered in whispers. Some wore masks with skeletal antlers, others traded scrolls sealed in wax. Her boots pressed into straw and sawdust. The suspect ducked behind a table cluttered with obsidian mirrors. She slanted around a pillar marked with coiled serpents. Shelves of books lay open to pages scrawled in a dead language. Candle stumps drained into pools of wax. She inhaled, tasted smoke drifting from a brazier. A distant drum tapped at her ribs. She raised her torch. A voice in her head—DS Morris’s—flickered. She forced herself to advance. A pair of traders with elongated fingers hawked metal teeth and carved horns. They bartered with a stall owner draped in chains. She drew a slow breath, boot heels pressing into straw. The market reeked of magic’s residue, each inhale like stale ale. She passed a vendor selling wands of rattleshine, each emitting a faint hum. Someone dropped a coin on a plank, its clink echoing against carved columns. She moved with military precision, scanning for the suspect’s dark silhouette. She spotted him brushing past a lattice of iron. He glanced over his shoulder, lips moving. “I’ve what you asked.” Her pulse seized. She darted forward. “I hold up more than that.” He slipped into a corridor dimmed by hanging tapestries. She reached the corridor’s mouth, lamp catching motes of dust. The tapestries trembled. So did her jaw. A trio of guards blocked the path, polished breastplates etched with sigils she didn’t recognise. Each clutched a spear tipped in twisted bronze. They stared past her, faces impassive. She raised her pistol. A deep chime echoed from the cavern entrance. The guards parted without a word, allowing both fugitive and detective to pass. Beyond, a rickety bridge spanned a chasm darker than midnight. Planks groaned under every step. She followed him across, boots skimming wet wood. He raced onto the far ledge, hands brushing a stack of crates. She closed in. A lantern swung above, throwing strobe shadows on damp walls. He paused, satchel at his feet, chest heaving. He turned, eyes wild. He shouted, jaw working, but rain’s roar filled her ears. She crept forward, grip taut. She reached the chasm’s edge, phosphorescent moss glowing in cracks between stones. A thin mist curled around her ankles. Across the fissure, the market’s heart pulsed with life. Blade-tipped spears gleamed. Lanterns bobbed. She swallowed. Her watch face glimmered beneath her sleeve. She squared her shoulders. She set her pistol against her hip. She stepped forward into the Veil Market.
created_at"2026-02-19T10:40:12.49Z" 2/19/2026, 10:40:12 AM
model"openai/o4-mini-high-2025-04-16"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5406
moderation_latency(null)
generation_time130855
tokens_prompt1140
tokens_completion2621
native_tokens_prompt984
native_tokens_completion15437
native_tokens_completion_images0
native_tokens_reasoning14080
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"
usage0.0690052
router(null)
provider_responses
0
endpoint_id"60020533-2fb2-4aa1-9454-181029fd52de"
id"resp_0f4b3864dd64e00d016996e88c8f708194a03b499c053ec3ee"
is_byokfalse
latency144
model_permaslug"openai/o4-mini-high-2025-04-16"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497612-YHgMWtTgWIj5jZN51uA4"
upstream_id"resp_0f4b3864dd64e00d016996e88c8f708194a03b499c053ec3ee"
total_cost0.0690052
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

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)
wordCount935
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount935
totalAiIsms22
found
0
word"flicker"
count1
1
word"footsteps"
count2
2
word"echoed"
count2
3
word"whisper"
count1
4
word"weight"
count1
5
word"lurched"
count1
6
word"charged"
count1
7
word"gloom"
count1
8
word"pulse"
count2
9
word"flicked"
count1
10
word"etched"
count2
11
word"tracing"
count1
12
word"flickered"
count1
13
word"echoing"
count1
14
word"scanning"
count1
15
word"trembled"
count1
16
word"raced"
count1
17
word"pulsed"
count1
highlights
0"flicker"
1"footsteps"
2"echoed"
3"whisper"
4"weight"
5"lurched"
6"charged"
7"gloom"
8"pulse"
9"flicked"
10"etched"
11"tracing"
12"flickered"
13"echoing"
14"scanning"
15"trembled"
16"raced"
17"pulsed"
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
narrationSentences116
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences116
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences124
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords929
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions7
wordCount902
uniqueNames6
maxNameDensity0.22
worstName"Quinn"
maxWindowNameDensity0.5
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn2
Morris1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Market"
places
0"Veil"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences76
glossingSentenceCount1
matches
0"tasted like oysters"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount929
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences124
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean33.18
std37.56
cv1.132
sampleLengths
0105
11
28
358
43
52
66
747
84
92
1036
11112
1263
133
147
154
162
1719
18115
19101
204
216
226
2359
2469
2527
2653
277
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences116
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs187
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences124
ratio0.008
matches
0"A voice in her head—DS Morris’s—flickered."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount908
adjectiveStacks1
stackExamples
0"against graffiti-tagged walls."
adverbCount11
adverbRatio0.012114537444933921
lyAdverbCount2
lyAdverbRatio0.0022026431718061676
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences124
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences124
mean7.49
std3.92
cv0.523
sampleLengths
023
119
213
38
411
511
67
75
88
91
105
113
1210
132
148
154
164
178
1812
1910
203
212
226
236
246
256
265
279
288
297
304
312
329
333
343
354
362
3710
385
3915
404
415
428
435
4414
455
462
475
486
499
51.61% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.3629032258064516
totalSentences124
uniqueOpeners45
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences111
matches(empty)
ratio0
25.41% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount54
totalSentences111
matches
0"She angled her worn leather"
1"She shifted weight, boots squelching"
2"She leapt, shoulder driving into"
3"He lurched away, coat flaring."
4"He bolted into the street,"
5"She closed the gap."
6"She gulped cold air that"
7"She swung her arm, lamp"
8"He lunged between two idling"
9"He veered down a narrow"
10"He charged past rain-sodden bins."
11"She twisted through them, thumb"
12"He cleared a low fence"
13"She vaulted after, fingers scraping"
14"She raised her voice."
15"He swore, yanked the handle"
16"He went inside."
17"She stabbed the lock."
18"She slipped in behind him."
19"She flicked on her torch."
ratio0.486
14.05% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount99
totalSentences111
matches
0"Droplets trickled from her closely"
1"She angled her worn leather"
2"Footsteps echoed behind the bar’s"
3"A hidden panel in the"
4"A man slipped through, shoulders"
5"She shifted weight, boots squelching"
6"Flashlight pinched between her teeth."
7"She leapt, shoulder driving into"
8"He lurched away, coat flaring."
9"The chase began."
10"He bolted into the street,"
11"Taillights smeared like red bruises"
12"She closed the gap."
13"She gulped cold air that"
14"She swung her arm, lamp"
15"He lunged between two idling"
16"He veered down a narrow"
17"The alley yawned like a"
18"Trash lay piled against graffiti-tagged"
19"An oily sheen coated the"
ratio0.892
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences111
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount1
matches
0"His coat brushed frayed banners that drooped from iron hooks overhead."
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
82.8357%