Run: 2026-03-18-01KM08GVQG9P1EBE246N6Q4GR1

Run Details

Duration:
17.6s
Cost:
$0.014778
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 hammered Soho in hard, white lines, turning the road to black glass and dragging neon into long, bleeding streaks. Quinn shoved through the crowd outside The Raven’s Nest, shoulder checking a pair of students who lurched away with curses caught in their throats. The green sign above the bar buzzed and flickered, washing the wet pavement with a sickly glow. Through the front window, the place looked like a cigar box left under a dead lamp: old maps on the walls, black-and-white photographs staring out through a haze of smoke and steam. The man she’d been tailing slipped out of the alley beside the bar and cut into the street with his head down. Quinn caught the shape of him at once. Dark coat. Narrow build. Hood pulled low. He moved with the tight, careful rhythm of someone who knew where cameras sat and how to keep his face out of them. He had left the Nest five minutes before, carrying nothing she could see, which meant he either had a clean hand or he had tucked whatever mattered into a pocket she couldn’t spot. She lengthened her stride, rain cutting cold needles through her collar. Her left wrist flashed as she raised it, the worn leather watch dark against her sleeve. Ten-thirty. Too late for patience, too early to lose him. He glanced over one shoulder, just enough for her to catch the line of a cheek and a flash of wet skin. Then he broke into a run. Quinn followed. He drove south through the tight lanes behind the bars, boots striking puddles, splashing dirty water onto stacked bins and shuttered loading bays. She stayed a street behind, close enough to read his moves, far enough to keep him guessing. He turned hard at Dean Street, dodged a delivery cyclist, and nearly took out a woman under a clear umbrella. The umbrella snapped sideways, water dumping over her hair. She shouted. Neither of them stopped. Quinn ducked under a hanging sign and crossed the road as a black cab cut between them. Horn blared. The suspect used the gap and vanished into a knot of pedestrians outside a late-night off-licence. Quinn pushed through. The smell hit first: wet wool, fried chips, cigarette smoke, the mineral stink of old rain pooling in the gutters. Her radio crackled under her coat. “Quinn, status?” She kept her eyes on the man’s back as he turned into a narrower street. “Still breathing,” she muttered, then clipped the handset back into her belt. He hit a dead-end alley and didn’t slow. Quinn saw the move a beat before he made it. A rusted fire escape ran up the side of a brick building, its lower rung slick with rain. He grabbed it and climbed, boots ringing against metal. Quinn hit the alley a second later, looked up, and saw his coat vanish over the roofline. She didn’t bother with the ladder. She took the back wall, found the pipe, and hauled herself up, coat plastering to her ribs. Her fingers slipped once. She caught herself on a broken drainpipe, barked her shin against brick, and kept climbing. The roof smelled of tar and wet gravel. The suspect’s footsteps slapped across corrugated metal ahead of her. He cut between two buildings, then dropped down a narrow gap lit by a single security lamp. Quinn followed the sound of a slammed gate and came out onto Camden High Street with her breath scraping in her throat. Traffic crawled. Red brake lights smeared over the wet tarmac. Queues of clubbers and tourists clustered under awnings, smoking, laughing, shouting into phones. The suspect threaded through them with his hood low and his shoulders hunched, then slipped past a boarded shopfront tagged with fresh paint and vanished into the mouth of a side road. Quinn pushed through the knot of bodies and caught a glimpse of him again, this time moving with purpose instead of panic. That changed things. Running men looked scared. This one looked like he knew a route. He turned left by an abandoned Tube entrance ringed with temporary fencing and warning signs. The station had been shut for years, its stairwell boarded at street level, the old map panel still fixed to the wall under a skin of grime. Quinn slowed at the top of the steps. A pair of men in heavy coats stood beneath a flickering lamp, smoking in the rain. One of them looked up. “Closed,” he barked. Quinn lifted her badge without stopping. “Metropolitan Police. Move.” His face tightened, but he stepped aside. The other man followed his lead, eyes on her hand, on the shape of the pistol under her coat. Quinn went down the steps two at a time. At the bottom, the air changed. It turned cooler, stale with damp concrete and old electricity. The shuttered station had once been empty. Tonight it hummed. Voices echoed from below, layered and low, with the metallic clink of glass and the scrape of crates over stone. At the base of the stairwell, a steel door had been cut into the wall where no door should have been. A man stood beside it with a crowbar in one hand and a torch in the other. He looked up as Quinn approached, and his eyes flicked over her face, her coat, her badge, then settled on the shape of the gun. “No police,” he muttered. Quinn stopped on the last step and held his stare. The suspect had already passed through. She could hear his boots farther in, fading fast. “I’m not asking.” The man gave a short, humourless laugh and nodded at the door. “Need a token.” “I’ve got a warrant.” He leaned his shoulder into the wall, rain dripping from the brim of his cap. “Warrant won’t open it.” Quinn looked past him at the dark seam of the door. No handle. No lock. Just iron set into concrete, with a slot no wider than two fingers. The voices from inside rose and fell like a market closing for the night. Someone inside shouted in a language she didn’t know. Metal rang. Something smashed. Then the suspect’s voice, quick and low, answering someone she couldn’t hear. Quinn stepped closer. “Who’s inside?” The man with the crowbar shrugged. “People who pay.” “That’s not an answer.” “It’s the one you’ve got.” The door shivered once. Not from any visible movement. From inside, as if something heavy had moved against it. Quinn looked at the slot. Bone token. The memory of an old briefing came back in scraps: hidden market beneath Camden, shifts with the moon, illegal charms, alchemy, rumours traded like narcotics. Bones for entry. Contacts with rotten teeth and clean hands. She had filed it under folklore until now. Her suspect had not. The crowbar man watched her face change and gave a thin smile. “You’re not from down here.” “No.” “Then go back up.” Quinn ignored him and checked the stairwell behind her. No backup. Not yet. Her radio had a weak signal in the tunnels; she could call in, but reinforcements would take time, and whatever the suspect had come here for would vanish in that span. If he got deeper into this place, she might lose him entirely. Or find him at the end of a knife. Or find something else she couldn’t put in an evidence bag. She touched her left wrist, thumb brushing the leather strap, then looked at the door again. “Open it.” The man’s grin thinned. “Token.” Quinn stepped closer until the torchlight hit the set of her jaw. “You heard me.” He held out one hand, palm up. “That’s not how this works.” Quinn’s gaze swept the stairwell, the blind curve of the wall, the shadow where the suspect had disappeared. She had a choice to make, and the tunnel made it for her less than she liked. She could back out, call it in, and spend the next forty minutes explaining to DI Larkin why she’d lost a suspect into a station that didn’t exist on public maps. Or she could walk into the dark and trust that her instincts hadn’t gone soft after eighteen years of bad nights. The door trembled again. This time the metal sang, a dull, bruised note. The man at the wall swore under his breath and glanced at the slot. Quinn dug into the inner pocket of her coat and pulled out a folded evidence bag. Inside sat a chipped bone disc she’d taken earlier from the suspect’s satchel during the alley scramble, before he’d noticed. She had palmed it on the roof, then nearly forgotten it while she climbed. The disc looked old, stained a deep yellow, with a shallow groove cut through its centre. The crowbar man’s expression hardened. “You nicked that.” “I borrowed it.” “From who?” Quinn slid the disc toward the slot. “Open the door.” He snatched the token, turned it in the torchlight, and something shifted in his face. Not fear. Recognition. “Christ.” He inserted it into the slot. The iron door breathed. Not opened. Breathed. A draft rolled out over Quinn’s boots, carrying the stink of herbs, oil, wet stone, and something metallic underneath, like blood over pennies. The lock gave a heavy click. Somewhere beyond, chains dragged. The man pulled the door inward, and a strip of light cut across the stairwell floor. Quinn peered past his shoulder. The underground market spread out below her in the bones of the old station. Platforms had become stalls. The tracks vanished beneath plywood floors and hanging tarps. Bare bulbs swung from cables strung overhead, throwing sharp pools of yellow over tables crowded with glass vials, folded parchment, knife blades, beads of red wax, and objects she could not name without sounding stupid. People moved between the stalls with their hoods up and their collars high, their faces half-hidden, their voices low and fast. The suspect stood twenty feet inside, just beyond a stall draped in black cloth. He had paused beside a woman with silver rings through both ears. She held something wrapped in oilskin and pressed it into his hand. He looked up, saw Quinn at the doorway, and all the blood drained from his face. “There,” Quinn snapped, and started down the steps. Heads turned. The market’s noise thinned into a hard hush, every conversation cut clean. She felt a dozen eyes settle on her coat, her badge, the gun at her hip. Someone laughed once, softly, and stopped. The suspect backed away from the woman with the oilskin package, then bolted between two stalls. Quinn kept moving. A man in a flat cap stepped into her path. “Police don’t come here.” Quinn shoved him aside. “Move.” He grabbed for her sleeve. Her elbow caught his wrist, hard enough to send a jolt up her arm. He cursed and stumbled into a stack of crates. Glass shattered behind her. Someone shouted from the far platform. Feet pounded on timber. The suspect vanished around a curtain of hanging beads. Quinn reached the market floor and drew her gun. The light caught on the badge clipped to her belt. Faces turned away. A woman with a shaved scalp lifted one eyebrow and tucked a knife into her boot. Two men near a stall of bundled herbs shifted apart, making room for her without meeting her eyes. A voice rose from somewhere ahead, male and sharp with panic. “Don’t let her through.” Quinn pushed toward it, rainwater dripping off her coat onto the platform boards. The old station groaned around her, the sound travelling through concrete and iron like something waking under skin. She caught the scent of mint, kerosene, and damp earth. The suspect’s footsteps rang somewhere ahead, then stopped. She reached the edge of a narrow passage between stalls and saw him at the far end, trapped between a curtain of hanging charms and a locked service gate. He had the oilskin bundle in one hand now. The woman from before stood behind him, her mouth a thin line, one palm pressed flat against the gate as if it could answer her. Quinn lifted the gun and sighted down the tunnel of light. “Drop it.” The suspect’s eyes flicked to the weapon, then to the market behind her, where bodies had started to collect in the shadows. He swallowed once. Rainwater dripped from the edge of his hood. “Well,” he said, and his voice came out tight, “this got ugly fast.”
created_at"2026-03-18T10:40:34.559Z" 3/18/2026, 10:40:34 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency8631
moderation_latency(null)
generation_time17385
tokens_prompt1140
tokens_completion3586
native_tokens_prompt984
native_tokens_completion3120
native_tokens_completion_images0
native_tokens_reasoning516
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"
usage0.014778
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0de952c5f9f2c8160169ba81229da88195b65b9795f3be3e48"
is_byokfalse
latency152
model_permaslug"openai/gpt-5.4-mini-20260317"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773830434-nS7KehjUct7bBpEgUp84"
upstream_id"resp_0de952c5f9f2c8160169ba81229da88195b65b9795f3be3e48"
total_cost0.014778
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences31
tagDensity0.161
leniency0.323
rawRatio0
effectiveRatio0
97.60% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2083
totalAiIsmAdverbs1
found
0
adverb"softly"
count1
highlights
0"softly"
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)
76.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2083
totalAiIsms10
found
0
word"lurched"
count1
1
word"flickered"
count1
2
word"footsteps"
count2
3
word"echoed"
count1
4
word"flicked"
count2
5
word"trembled"
count1
6
word"shattered"
count1
7
word"eyebrow"
count1
highlights
0"lurched"
1"flickered"
2"footsteps"
3"echoed"
4"flicked"
5"trembled"
6"shattered"
7"eyebrow"
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
emotionTells2
narrationSentences178
matches
0"looked scared"
1"p with panic"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences178
filterMatches
0"watch"
hedgeMatches
0"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences204
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2083
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
72.31% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1995
uniqueNames11
maxNameDensity1.55
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Raven1
Nest2
Dean1
Street2
Camden2
High1
Tube1
Quinn31
Larkin1
Heads1
persons
0"Quinn"
1"Heads"
places
0"Soho"
1"Raven"
2"Dean"
3"Street"
4"Camden"
5"High"
globalScore0.723
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences129
glossingSentenceCount2
matches
0"looked like a cigar box left under a dead"
1"looked like he knew a route"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2083
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences204
matches
0"trust that her"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs84
mean24.8
std25.44
cv1.026
sampleLengths
093
122
271
337
428
52
675
758
86
92
1015
1112
1262
1360
1439
1555
1637
1771
183
199
2026
2155
2263
234
2425
253
2612
273
284
2919
3028
3139
325
336
343
354
365
3719
3850
394
4012
415
421
434
4476
4516
462
475
4815
497
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences178
matches
0"been shut"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs338
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences204
ratio0.005
matches
0"Her radio had a weak signal in the tunnels; she could call in, but reinforcements would take time, and whatever the suspect had come here for would vanish in that span."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount2002
adjectiveStacks0
stackExamples(empty)
adverbCount53
adverbRatio0.026473526473526472
lyAdverbCount6
lyAdverbRatio0.002997002997002997
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences204
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences204
mean10.21
std7.68
cv0.752
sampleLengths
020
124
217
332
422
58
62
72
83
923
1033
1111
1216
131
149
1522
166
172
1823
1917
2020
219
222
234
2417
252
2616
273
2820
296
302
3115
3212
338
3410
3518
369
3717
386
3917
404
4115
428
4310
4417
4522
462
478
4813
4932
53.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3431372549019608
totalSentences204
uniqueOpeners70
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences157
matches
0"Too late for patience, too"
1"Then he broke into a"
2"Just iron set into concrete,"
3"Then the suspect’s voice, quick"
4"Somewhere beyond, chains dragged."
ratio0.032
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount46
totalSentences157
matches
0"He moved with the tight,"
1"He had left the Nest"
2"She lengthened her stride, rain"
3"Her left wrist flashed as"
4"He glanced over one shoulder,"
5"He drove south through the"
6"She stayed a street behind,"
7"He turned hard at Dean"
8"Her radio crackled under her"
9"She kept her eyes on"
10"she muttered, then clipped the"
11"He hit a dead-end alley"
12"He grabbed it and climbed,"
13"She didn’t bother with the"
14"She took the back wall,"
15"Her fingers slipped once."
16"She caught herself on a"
17"He cut between two buildings,"
18"He turned left by an"
19"His face tightened, but he"
ratio0.293
30.06% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount135
totalSentences157
matches
0"Quinn shoved through the crowd"
1"The green sign above the"
2"The man she’d been tailing"
3"Quinn caught the shape of"
4"Hood pulled low."
5"He moved with the tight,"
6"He had left the Nest"
7"She lengthened her stride, rain"
8"Her left wrist flashed as"
9"He glanced over one shoulder,"
10"He drove south through the"
11"She stayed a street behind,"
12"He turned hard at Dean"
13"The umbrella snapped sideways, water"
14"Neither of them stopped."
15"Quinn ducked under a hanging"
16"The suspect used the gap"
17"Quinn pushed through."
18"The smell hit first: wet"
19"Her radio crackled under her"
ratio0.86
31.85% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences157
matches
0"If he got deeper into"
ratio0.006
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences87
technicalSentenceCount2
matches
0"From inside, as if something heavy had moved against it."
1"She could back out, call it in, and spend the next forty minutes explaining to DI Larkin why she’d lost a suspect into a station that didn’t exist on public map…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
20.97% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount4
fancyTags
0"she muttered (mutter)"
1"he barked (bark)"
2"he muttered (mutter)"
3"Quinn snapped (snap)"
dialogueSentences31
tagDensity0.161
leniency0.323
rawRatio0.8
effectiveRatio0.258
89.4179%