Run: 2026-03-18-01KM07FGFMX24A8146B9X8XNTE

Run Details

Duration:
13.2s
Cost:
$0.011669
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 sheeted down the narrow London street and turned the pavement into a black mirror that caught every flash of red brake lights and shopfront glow. Detective Harlow Quinn drove one boot down hard, skidded around a taxi that barked its horn, and kept her eyes locked on the man ahead of her. He moved with a coat slapping against his calves, shoulders hunched, head down against the weather. Not drunk. Not panicked enough to look back. That bothered her more than if he had run blind. “Keep moving,” she muttered, fingers tight on the phone in her hand. The suspect cut through the tail end of a pub queue, shouldered between two smokers under a torn awning, and ducked into an alley so narrow the streetlamp above it painted only a strip of yellow down the wet bricks. Quinn followed without slowing. Her shoes hit puddles hard. Water jumped her trouser cuffs. The alley stank of piss, old fry grease, and damp brick. He glanced over one shoulder. Quinn caught only a slice of his face: pale, sharp nose, dark hair plastered to his temple. Then he was gone around the corner. “Not this time,” she said, and drove after him. The alley spat her out onto a busier road where traffic crawled through the rain. He had already crossed, weaving between cars stopped at the lights. Quinn raised a hand at a driver who leaned on the horn, then bolted after her suspect. An Uber clipped through a puddle and soaked her lower coat. She swallowed the curse that rose in her throat and kept going. The man reached the far pavement, ripped open the side door of a closed launderette, and slipped inside. Quinn hit the door a second later. Locked. She rammed a shoulder into it. The frame shuddered but held. She took a step back, lifted her heel, and kicked the lock plate. Wood cracked. The door sprang inward on a burst of warm, stale air and the sour scent of detergent. “Police,” she called into the dark shop. No answer. The launderette sat empty, fluorescent tubes dead, rows of silent machines lined up like blunt white teeth. Rain tapped the front windows. Quinn moved past the counter, hand on her pistol, eyes scanning the glossy floor. A narrow back corridor ran behind the machines. At the end of it, a door stood ajar. She pushed through and found a short stairwell leading down into darkness. A single bulb hung bare over the first step. Fresh water ran along the concrete and gathered in the grooves. Someone had gone through fast. “Coward,” Quinn breathed, and started down. The stairwell twisted under the street. Her boots rang against the concrete. The air cooled with each step, carrying a faint metallic tang, like coins left in rainwater. At the bottom, the passage opened into a service tunnel lined with old pipes. One of them sweated cold droplets onto her sleeve. Her phone torch cut a pale cone through the dark and caught footprints in the wet grit ahead. The suspect had not been alone. Quinn stopped at a smear on the wall. Chalk. No, something thinner, grey-white and grainy. A symbol cut into the surface, half rubbed away by a hand or a sleeve. She knelt, touched it with one glove, then pulled back. Bone dust. Her jaw tightened. “Lovely,” she said. A sound drifted from farther ahead. Not footsteps. Voices. Low, clipped, swallowed by distance. She followed the footprints past a rusted maintenance gate that hung off one hinge. Beyond it, the tunnel widened and the ceiling lowered again, packed overhead with old cable trays and pipes. The smell changed there. Wet stone gave way to incense, hot oil, damp wool, and the sharp bite of chemicals. Quinn rounded a bend and stopped. The tunnel had broken open into a platform she had never seen on any map. It sat beneath the city like a secret lung. A row of tarpaulin awnings hung from the ceiling, each lit by lanterns screened with coloured glass. Tables stood beneath them, piled with jars, wrapped bundles, brass tools, teeth, feathers, powders, books with iron clasps, and little cages covered in cloth. Men and women drifted between the stalls in dark coats and hoodies and long patchwork dresses, their faces half hidden, their hands full of money or something better guarded. Somewhere deeper in the crowd, a child laughed, high and bright, then cut off when an adult snapped something sharp at them. Quinn stayed still at the tunnel mouth. Rain still dripped from her hair onto the concrete. No one looked at her at first. Then a woman behind a stall lined with glass vials lifted her eyes, took in Quinn’s badge, her gun, her soaked coat, and said something under her breath to the man beside her. Heads turned. Not many. Enough. Quinn tucked her phone away and let her hand settle near her holster. The suspect slipped through a gap in the crowd near a table draped in black cloth. He had lost the coat now. In the lantern light, Quinn caught the white edge of his shirt and the dark line of a strap across his back. He looked back once, saw her, and his face split into a quick, ugly grin before he vanished between two shelving frames stacked with ironwork. “Oi!” Quinn moved. A broad-shouldered man in a flat cap stepped into her path. Scar tissue crossed his throat in a pale seam. He held a wooden truncheon across his chest like a bouncer at a club. “No police below,” he said. “I’m not here for shopping.” He kept the truncheon level. “That makes one of us.” Quinn flicked her badge open. “Move.” The man glanced at it, then at her face, then nodded once toward the platform. “You follow him, you do it light. Market doesn’t like noise.” “Then the market can get used to disappointment.” She stepped round him and into the crowd. The market pressed in on her from every side. A stall to her left displayed metal talismans stitched through with black thread. To her right, a woman in a veiled hat sold small glass jars full of cloudy liquid that pulsed in time with the overhead lights. Quinn passed a stack of old maps pinned with pins and strings, their edges curled from damp. A man with tattooed knuckles laid a palm over a tray of silver rings and watched her go by with a face like stone. She caught the suspect’s coat again near a junction where the platform split into two passages. He had ducked into a side corridor lined with stalls on both sides. Quinn pushed through. Someone brushed her shoulder and hissed a warning in another language. She ignored it. At the far end of the corridor, the man paused beside a pillar marked with blue chalk. A vendor in a hood leaned in to speak to him. Quinn closed the distance, boots loud on the concrete, and the man spun around. He had the kind of face that forgot itself in a crowd. Thirty, maybe. Hollow cheeks. A cut over one eyebrow. His right hand gripped a leather pouch tied tight at the neck. “You shouldn’t have come,” he said. “Funny. I was about to say the same.” He glanced past her shoulder. A pair of market men in dark coats had appeared at the corridor mouth, blocking the way back. Quinn noted the heavy bats under their arms, the deliberate stance. She was not the only one being managed. “Hand it over,” she said. He hugged the pouch to his chest. “Wrong answer.” He shoved past her, hard enough to clip her ribs, and took off down a stair cut into the concrete. Quinn lunged after him. The stair opened into a lower passage, narrower and colder than the market above. The walls here had been left unfinished, rough stone sweating under the lamps. The suspect kept just ahead of her, one hand trailing the rail. He reached a heavy door reinforced with iron bands and hammered a fist against it twice, fast and urgent. It opened a crack. A face appeared in the gap, old and yellow-eyed, then disappeared at the sight of Quinn. The suspect slipped inside. The door slammed. Quinn hit it with her palm. “Open up.” Nothing. She tried the handle. Bolted. She stepped back, eyeing the frame. No window. No kick room. The metal bands would give before the hinges, but not cleanly. She flexed her fingers, listening. Movement inside. A whisper of voices. The suspect, definitely. Another man. Maybe more. She leaned close to the door and spoke through it. “Name and address, and I can make this neat.” A laugh answered her, thin and dry. Then a new voice, deeper, with an East London bite. “Quinn. Bit far from home, aren’t you?” She looked up. At the far end of the passage, a woman stood in a long dark coat, cropped salt-and-pepper hair plastered to her scalp, brown eyes steady as a knife point. Detective Harlow Quinn recognised the bearing first, the military stiffness in the spine, the careful stillness in the shoulders. Metropolitan Police. Her stomach tightened. The woman’s left wrist showed a worn leather watch. She held her badge low, not yet open. “You’re making a mess.” Quinn held her ground. “And you are?” The woman moved closer by a measured step. “Detective Quinn. Harlow Quinn. Fraud and vice, then this. Either you’re lost or you’re stubborn.” Quinn gave a short, humourless breath. “I’m in a hurry.” “I can see that.” The other detective’s gaze flicked to the iron door, then back. “That man you chased came down with stolen property and a dead courier on his conscience. He’s been on my board for six weeks. You won’t get him by kicking the door.” Quinn studied her. “You been following him down here?” “I’ve been following a supply line that touched three stabbings, an arson, and one missing witness. This place sits in the middle of it.” Her eyes held Quinn’s. “You really want to step into that room without knowing who runs the floor?” Quinn heard movement behind the iron bands, a scrape, then a muffled curse. The suspect was still inside. So were whatever people had shut themselves in with him. “Open it,” Quinn said. The other detective’s mouth tightened. “Not without a reason.” The door shuddered once from inside, as if someone had kicked it. The yellow-eyed face appeared again in the crack, flickered away. Quinn shifted her stance. Her gun felt heavier now. Not because of the door. Because of the officer in front of her. Because of the market breathing around them. Because she had already gone too deep, and the city above had vanished behind damp stone and cash and bone dust. “Fine,” she said, eyes still on the detective. “Reason. He led me here on purpose.” The detective’s brow moved a fraction. “To where?” Quinn tilted her head toward the iron door. “That’s what I’m standing outside of.” The woman looked at the door, then back at Quinn, and for the first time a crack showed in her control. Not fear. Calculation. The kind that came from deciding how much damage she could accept. Inside the room, something began to rattle against the far wall, slow and steady, like a chain dragged over tile. Quinn glanced at the handle, then at the detective with the leather watch, and kept her hand near her gun.
created_at"2026-03-18T10:22:21.696Z" 3/18/2026, 10:22:21 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency427
moderation_latency(null)
generation_time12963
tokens_prompt1140
tokens_completion2897
native_tokens_prompt984
native_tokens_completion2429
native_tokens_completion_images0
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"completed"
usage0.0116685
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0dcfe2662c79fcd60169ba7cddc8688194a706638166d25fc3"
is_byokfalse
latency205
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-1773829341-T2YA8roOFL8annNhZWAC"
upstream_id"resp_0dcfe2662c79fcd60169ba7cddc8688194a706638166d25fc3"
total_cost0.0116685
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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences34
tagDensity0.382
leniency0.765
rawRatio0
effectiveRatio0
97.41% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1927
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
74.05% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1927
totalAiIsms10
found
0
word"scanning"
count1
1
word"footsteps"
count1
2
word"flicked"
count2
3
word"pulsed"
count1
4
word"eyebrow"
count1
5
word"whisper"
count1
6
word"stomach"
count1
7
word"measured"
count1
8
word"flickered"
count1
highlights
0"scanning"
1"footsteps"
2"flicked"
3"pulsed"
4"eyebrow"
5"whisper"
6"stomach"
7"measured"
8"flickered"
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
narrationSentences179
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences179
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences200
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1927
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1722
uniqueNames7
maxNameDensity1.92
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
London2
Harlow2
Quinn33
Uber1
East1
Police1
Rain3
persons
0"Harlow"
1"Quinn"
2"Uber"
3"Rain"
places
0"London"
1"East"
globalScore0.542
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences115
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1927
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences200
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs74
mean26.04
std24.71
cv0.949
sampleLengths
053
134
212
365
45
524
69
766
818
951
107
112
1253
1337
146
1569
166
1745
183
1966
206
21116
2256
235
2413
2569
263
2734
285
295
3010
316
3226
338
348
3588
3646
3742
3833
396
408
4142
425
437
442
4582
464
4716
487
498
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences179
matches
0"was gone"
1"been left"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs279
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences200
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1728
adjectiveStacks0
stackExamples(empty)
adverbCount51
adverbRatio0.029513888888888888
lyAdverbCount6
lyAdverbRatio0.003472222222222222
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences200
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences200
mean9.64
std7.16
cv0.743
sampleLengths
026
127
216
32
46
510
612
740
84
95
105
1111
125
1317
147
159
1615
1711
1817
1911
2012
2118
227
231
246
255
2613
272
2817
297
302
3117
325
3314
348
359
3612
379
3811
395
406
416
426
4316
4414
459
4618
476
488
491
48.83% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.32
totalSentences200
uniqueOpeners64
88.30% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences151
matches
0"Then he was gone around"
1"Somewhere deeper in the crowd,"
2"Then a woman behind a"
3"Then a new voice, deeper,"
ratio0.026
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount43
totalSentences151
matches
0"He moved with a coat"
1"she muttered, fingers tight on"
2"Her shoes hit puddles hard."
3"He glanced over one shoulder."
4"she said, and drove after"
5"He had already crossed, weaving"
6"She swallowed the curse that"
7"She rammed a shoulder into"
8"She took a step back,"
9"she called into the dark"
10"She pushed through and found"
11"Her boots rang against the"
12"Her phone torch cut a"
13"She knelt, touched it with"
14"Her jaw tightened."
15"She followed the footprints past"
16"It sat beneath the city"
17"He had lost the coat"
18"He looked back once, saw"
19"He held a wooden truncheon"
ratio0.285
46.09% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount125
totalSentences151
matches
0"Rain sheeted down the narrow"
1"Detective Harlow Quinn drove one"
2"He moved with a coat"
3"That bothered her more than"
4"she muttered, fingers tight on"
5"The suspect cut through the"
6"Quinn followed without slowing."
7"Her shoes hit puddles hard."
8"Water jumped her trouser cuffs."
9"The alley stank of piss,"
10"He glanced over one shoulder."
11"Quinn caught only a slice"
12"she said, and drove after"
13"The alley spat her out"
14"He had already crossed, weaving"
15"Quinn raised a hand at"
16"An Uber clipped through a"
17"She swallowed the curse that"
18"The man reached the far"
19"Quinn hit the door a"
ratio0.828
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount4
totalSentences151
matches
0"To her right, a woman"
1"Because of the officer in"
2"Because of the market breathing"
3"Because she had already gone"
ratio0.026
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences74
technicalSentenceCount2
matches
0"Rain sheeted down the narrow London street and turned the pavement into a black mirror that caught every flash of red brake lights and shopfront glow."
1"She followed the footprints past a rusted maintenance gate that hung off one hinge."
48.08% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount2
matches
0"she muttered, fingers tight on the phone in her hand"
1"she said, eyes still on the detective"
91.18% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount2
fancyTags
0"she muttered (mutter)"
1"Quinn breathed (breathe)"
dialogueSentences34
tagDensity0.294
leniency0.588
rawRatio0.2
effectiveRatio0.118
90.3535%