Run: 2026-07-09-01KX4149YTX3MECSSRA3QR8DCC

Run Details

Duration:
30.8s
Cost:
$0.038115
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 lashed the windscreen hard enough to blur the blue lights behind her. Detective Harlow Quinn cut across Brewer Street, boots skidding on oil-slick pavement, one hand clamped around the radio at her shoulder. “Control, suspect turned south off Wardour. Male, late twenties, dark jacket, grey rucksack. I’m on foot.” Static chewed her words. “Repeat location, Detective Quinn.” The runner vaulted a stack of black bin bags outside a shuttered bakery. He landed badly, recovered, and shot into the narrow gap between two buildings. Quinn followed. Her shoulder scraped brick. Rain poured from a broken gutter and struck the back of her neck like ice. The alley smelled of sour beer, wet cardboard, and the sharp mineral stink of the city after a storm. Ahead, the suspect’s trainers slapped through puddles. “Stop!” He glanced back. Young face. Pale. Blood ran from a cut above his eyebrow and mixed with rainwater. His eyes caught the glow of a traffic light at the end of the alley, and for a second they flashed a flat, oily black. Quinn’s breath snagged. He vanished around the corner. She ran harder. The alley spilled onto Shaftesbury Avenue. A taxi fishtailed past, horn blaring. Theatre signs burned through the rain, letters trembling in red and gold across the wet road. Quinn crossed between cars, forcing a delivery van to slam its brakes. “Police!” The driver leaned out of his window. “Are you bloody mad?” The suspect had already reached the pavement opposite. He shoved through a knot of umbrella-bearing pedestrians, leaving a woman spinning against a bus shelter. Quinn caught her arm before she fell. “Which way?” The woman pointed with a shaking hand. “He went down there. There’s something wrong with him.” Quinn saw the grey rucksack disappear into the mouth of an Underground entrance. She hit the steps two at a time. The station had closed hours before. Metal shutters covered the ticket hall entrances, but one service door stood open at the far end, its lock hanging split and useless. Water ran down the tiled walls and pooled at the bottom of the stairs. Her radio crackled. “Detective Quinn, your signal is unstable. Confirm your location.” Quinn looked back at the street. A sheet of rain hid everything beyond the entrance. No uniforms. No cars. No backup pushing through traffic. “I’m entering an access point near Tottenham Court Road. Send units.” “Entering what access point?” A metallic bang rolled up from below. Quinn drew her torch, checked the weight of her sidearm beneath her coat, and stepped through the broken service door. The smell changed at once. The city’s rain and exhaust gave way to damp concrete, hot wiring, and something sweet enough to turn her stomach. Old incense. Rotting flowers. Burnt sugar. The corridor sloped down behind the shuttered station. Rusted signs pointed towards platforms that no longer existed. A line of dead fluorescent tubes hung overhead, their plastic covers yellowed and cracked. Water dripped from the ceiling in a steady, hollow rhythm. At the bottom, Quinn found a turnstile. It had been cut free from its bolts and pushed aside. Beyond it lay darkness. “Police,” she called. “Come out with your hands visible.” A voice floated up the tunnel. “You followed him from Soho?” Quinn swung her torch towards the sound. A man stood in the spill of a lantern several yards ahead. He wore a long waxed coat and a bowler hat that looked absurd until she noticed the small bones sewn into its band. His skin carried the colour of old candle wax. Around him, shapes moved in the dark. “You shouldn’t use that word down here,” he went on. “People might hear.” “Who are you?” The man smiled. His teeth had been filed into narrow points. “Who are you?” Quinn raised the torch beam to his face. “Detective Harlow Quinn. Metropolitan Police. I’m pursuing a suspect.” At her name, the smile thinned. A woman’s voice spoke from somewhere behind him. “Morris’s partner.” The air seemed to tighten. Quinn kept her hand close to her holster. “Step aside.” The man in the bowler hat lifted a hand, palm open. Small black stones rested in it. No. Not stones. Knuckles. Tiny, polished finger bones threaded through with wire. “Entry costs.” “I’m not buying a ticket.” “You don’t enter the Veil Market without a bone token.” Quinn stared past him. The tunnel opened into a former platform, though nothing about it belonged to Transport for London. Lanterns hung from the ceiling on chains. Their flames burned blue, green, and a colour that hurt the eye. Stalls crowded the platform edge, built from railway lockers, crates, old luggage trolleys, and curtains of beadwork. People moved between them in cloaks, suits, surgical masks, funeral veils. Some looked human. Others wore humanity like poor tailoring. A child sat on a stool beside a table of glass jars. In each jar, something pale floated in yellow fluid. The child’s eyes had no whites. The suspect shoved through the market crowd at the far end of the platform. “Stop him!” Quinn shouted. No one moved. The man in the bowler hat tipped the bones towards her. “Token.” Quinn took two steps forward. He caught her wrist. His fingers felt dry and hot. Quinn twisted, drove her elbow into his ribs, and pulled free. He folded against the turnstile with a grunt. “Wrong answer,” she told him. The market went still. Every face turned. Quinn crossed the threshold. The first stall on her left sold watches, dozens of them laid across black velvet. Their hands spun backwards. A woman with silver coins pressed into her cheeks leaned over the display. “You’ll need more than that pistol, Detective.” Quinn ignored her. At the next stall, a man stirred thick red liquid in a copper pan. Steam rose from it in slow coils and formed faces above the surface. One opened its mouth and shrieked. Quinn pushed through a group of shoppers. A sleeve brushed her hand. The fabric felt wet, then clung to her skin with little sucking mouths. She tore free and kept moving. The suspect’s rucksack bounced between the crowd ahead. He had reached the old platform stairs, where a painted sign read NORTHBOUND in flaking white letters. “Grey jacket!” Quinn shouted. “Move!” A broad figure blocked her path. He stood almost seven feet tall, shoulders bent beneath a butcher’s apron. Fresh blood streaked the apron to his boots. His head sat too low on his chest, as though his neck had sunk into his body. “No running,” he rumbled. “Out of my way.” “No running.” Quinn pulled out her warrant card and held it up to his face. “Metropolitan Police. That man is a suspect in an active investigation.” The giant peered at the card. His nostrils widened. “Paper’s no use here.” “He’s carrying evidence connected to an assault.” “Everything here’s connected to an assault.” The suspect disappeared up the stairs. Quinn shoved past the giant. A hooked cleaver came down beside her head and bit into the wooden stall wall. She froze. The blade hummed. The giant leaned close enough for her to smell raw meat and rainwater. “You brought a gun into the Market,” he whispered. “That made you a threat. You brought police business into the Market. That made you rude. But you chased a bleeding boy through my aisle without paying the gatekeeper.” His broad fingers closed around the cleaver handle. “That made you entertainment.” A glass bottle smashed against the giant’s temple. He staggered sideways. Tomás Herrera stood behind him, chest heaving, one hand raised from the follow-through. Rain darkened his short curls. His Saint Christopher medallion flashed at his throat. “Run, Quinn!” Quinn did not ask why he had appeared. She ran. Tomás came alongside her as they climbed the platform stairs. “What are you doing here?” Quinn snapped. “What are you doing here?” “You knew this place existed.” “I knew enough not to barge in flashing a badge.” “You helped the suspect.” Tomás caught the rail as the stairs curved down. “I treated him.” “Name.” “Eli Pritchard.” “Why was he running?” “Because he had something people wanted.” “What?” Tomás’s warm brown eyes flicked towards the rucksack. “Something he stole from the wrong person.” They reached another tunnel. The old tiled walls had cracked open in places, revealing black earth behind them. Roots pushed through the gaps, pale and swollen. The sound of the market faded, replaced by a distant train-like roar that never drew closer. Quinn saw Eli at the far end, struggling with a steel door marked STAFF ONLY. “Eli!” Tomás called. “Don’t open that!” The young man looked back. His face had changed. The cut over his eyebrow had stopped bleeding, but dark veins spread from it beneath his skin. His fingers shook around the door handle. “You don’t get it,” he shouted. “It’s in my head.” “Then give me the bag,” Tomás answered. “I can’t.” Quinn closed the distance. “Put the rucksack on the ground.” Eli laughed once. It came out broken. “That’s what Morris said.” Quinn stopped. Water dripped from the ceiling onto her collar. “What did you say?” Eli’s blackened eyes fixed on her. “Three years ago. He had the same look. Thought he could drag it into the light and call it evidence.” Tomás stepped in front of Quinn, one arm out. “Eli, don’t say another word. Put down the bag.” “I didn’t kill him.” Quinn’s jaw tightened. “Who did?” Eli’s hand clenched on the door handle. The steel door shuddered beneath his grip. From the other side came a soft, patient knock. Three taps. Tomás grabbed Quinn’s sleeve. “Back up.” Quinn did not move. “Who killed DS Morris?” Eli’s mouth opened. A thin line of blood ran from his nose. Then from his ears. “The thing he brought—” The door bowed inward. Eli screamed and yanked the rucksack free. He threw it towards Quinn. She caught it against her chest. The weight inside shifted. Not heavy. Not solid. Warm. Tomás swore under his breath. “Don’t open it.” Quinn looked at him. “What is it?” “Not here.” The door buckled again. A crack split down its centre. Cold air spilled through, carrying the smell of deep water and extinguished candles. Eli pressed both hands against his temples. “It knows your name.” Quinn drew her weapon and aimed at the door. “Quinn,” Tomás warned. Behind them, the market had gone silent. The tunnel lights died one by one. Green flame. Blue flame. Darkness advancing towards them along the walls. Eli backed away from the door, his trainers slipping in the water. “It wanted Morris,” he whispered. “Now it wants the one who kept asking.” Quinn lowered her gun a fraction and looked at the rucksack in her hands. Something inside knocked back.
created_at"2026-07-09T18:09:37.261Z" 7/9/2026, 6:09:37 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency822
moderation_latency(null)
generation_time30284
tokens_prompt1140
tokens_completion3085
native_tokens_prompt984
native_tokens_completion2377
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.038115
router(null)
provider_responses
0
endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_01b9c1a1e397a2dc016a4fe3e203288196af17bcb55c86711a"
is_byokfalse
latency484
model_permaslug"openai/gpt-5.6-terra-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620577-kxxnP2SVPfslpzZ6sW4L"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620577-LS5hWQMfQTi64gwnj1yM"
upstream_id"resp_01b9c1a1e397a2dc016a4fe3e203288196af17bcb55c86711a"
total_cost0.038115
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences75
tagDensity0.173
leniency0.347
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1799
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)
80.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1799
totalAiIsms7
found
0
word"eyebrow"
count2
1
word"weight"
count2
2
word"stomach"
count1
3
word"velvet"
count1
4
word"flicked"
count1
highlights
0"eyebrow"
1"weight"
2"stomach"
3"velvet"
4"flicked"
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
narrationSentences192
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences192
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences254
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1799
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions70
wordCount1432
uniqueNames16
maxNameDensity2.44
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn35
Brewer1
Street1
Shaftesbury1
Avenue1
Underground1
Transport1
London1
Herrera1
Saint1
Christopher1
Tomás10
Eli8
Rain3
Water3
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Tomás"
6"Eli"
7"Rain"
8"Water"
places
0"Brewer"
1"Street"
2"Shaftesbury"
3"Avenue"
4"Transport"
5"London"
globalScore0.278
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences113
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1799
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences254
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs171
mean10.52
std11.16
cv1.061
sampleLengths
013
121
216
34
44
526
62
745
81
93
1040
113
125
133
1440
151
167
174
1824
197
202
2116
2213
238
2443
253
269
2724
2811
294
307
3120
325
3326
3441
357
3611
374
389
396
405
417
4251
4313
443
4511
463
4717
486
498
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences192
matches
0"been filed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs252
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences254
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1435
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.020209059233449476
lyAdverbCount3
lyAdverbRatio0.0020905923344947735
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences254
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences254
mean7.08
std4.94
cv0.697
sampleLengths
013
121
216
34
44
513
613
72
84
915
1019
117
121
133
142
151
1612
1725
183
195
203
216
226
2316
2412
251
267
274
288
2916
307
312
327
339
3413
358
366
3723
3814
393
409
416
429
432
442
455
4611
474
487
4920
53.54% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.3425196850393701
totalSentences254
uniqueOpeners87
20.70% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences161
matches
0"Then from his ears."
ratio0.006
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences161
matches
0"He landed badly, recovered, and"
1"Her shoulder scraped brick."
2"He glanced back."
3"His eyes caught the glow"
4"He vanished around the corner."
5"She ran harder."
6"He shoved through a knot"
7"She hit the steps two"
8"Her radio crackled."
9"It had been cut free"
10"He wore a long waxed"
11"His skin carried the colour"
12"he went on"
13"His teeth had been filed"
14"Their flames burned blue, green,"
15"He caught her wrist."
16"His fingers felt dry and"
17"He folded against the turnstile"
18"she told him"
19"Their hands spun backwards."
ratio0.211
15.90% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount143
totalSentences161
matches
0"Rain lashed the windscreen hard"
1"Detective Harlow Quinn cut across"
2"Static chewed her words."
3"The runner vaulted a stack"
4"He landed badly, recovered, and"
5"Her shoulder scraped brick."
6"Rain poured from a broken"
7"The alley smelled of sour"
8"He glanced back."
9"Blood ran from a cut"
10"His eyes caught the glow"
11"Quinn’s breath snagged."
12"He vanished around the corner."
13"She ran harder."
14"The alley spilled onto Shaftesbury"
15"A taxi fishtailed past, horn"
16"Theatre signs burned through the"
17"Quinn crossed between cars, forcing"
18"The driver leaned out of"
19"The suspect had already reached"
ratio0.888
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences161
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
technicalSentenceCount1
matches
0"His head sat too low on his chest, as though his neck had sunk into his body."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
56.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount7
fancyTags
0"Quinn shouted (shout)"
1"Quinn shouted (shout)"
2"he whispered (whisper)"
3"Quinn snapped (snap)"
4"he shouted (shout)"
5"Tomás warned (warn)"
6"he whispered (whisper)"
dialogueSentences75
tagDensity0.147
leniency0.293
rawRatio0.636
effectiveRatio0.187
84.8009%