Run: 2026-07-09-01KX400E4BWHZ2AC42QYV508S3

Run Details

Duration:
15.3s
Cost:
$0.014544
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 flat, turning the pavement into black glass beneath the streetlamps. Detective Harlow Quinn caught one glimpse of the suspect’s coat as it cut across Frith Street. Charcoal wool. Torn hem. A flash of pale fingers gripping the strap of a canvas satchel. “Stop!” The figure looked back. A woman. Young. Dark hair plastered to her face. Blood ran from one nostril to her upper lip, bright against skin gone grey with cold. She saw Quinn’s badge, saw the hand reaching for the radio, and sprinted. Quinn launched after her. Her boots struck water and stone with military rhythm. She pushed through a knot of tourists huddled beneath a restaurant awning, shouldered past a delivery cyclist and ignored the curse thrown after her. The woman ran with a limp that worsened each time her left foot hit the ground, but she kept her lead. Quinn had spent eighteen years chasing people who believed the city belonged to them. They always made the same mistake. They treated panic as speed. The woman cut down a narrow passage between two buildings. Quinn followed, shoulder grazing wet brick. At the far end, the suspect vaulted a waist-high railing and dropped into the service lane behind a row of shuttered cafés. Quinn planted one hand on the rail and went over. Her knee hit the ground. Pain flared. She rolled through it, rose, and found the woman halfway across the lane. “Police! Down on the ground!” The woman glanced back again. This time, fear broke across her face. Not fear of arrest. Fear of what waited behind her. Quinn heard a metallic clatter from somewhere beneath the lane. The sound travelled through the soles of her boots. A train, perhaps, though no Underground line ran beneath this part of Soho. The city hummed with old tunnels, old pipes, forgotten chambers. London kept its dead under the pavement and charged rent above them. The suspect reached a steel door set into the wall. It had no handle. No sign. No lock that Quinn could see. The woman pulled a small object from her pocket and pressed it against the centre of the door. The metal opened like wet paper. Quinn slowed. The woman slipped through. The door folded shut behind her, leaving only a seam in the brick. Quinn crossed the lane and searched the wall with her fingertips. Cold mortar. Peeling paint. A rusted drainpipe. Nothing. Her left wristwatch ticked beneath the cuff of her coat. The leather strap had darkened with rain. She checked the time, then her radio. “Control, this is Detective Quinn. I’m in the service lane off Frith Street pursuing a female suspect. I need units to—” Static cracked through the speaker. Quinn lowered the radio. The metallic clatter sounded again. Closer this time. Under her feet. A shape lay beside the drain. She crouched and picked it up. The object looked like a finger bone, though it had been carved with tiny notches and threaded through a loop of black cord. A reddish stain marked one end. It felt warm in her palm. The seam appeared in the brick. Quinn held the bone against it. The door opened. A stairwell dropped into darkness. No electrical lights glowed below. Water ran down the steps in thin silver streams, carrying grit and flakes of rust. Somewhere far beneath the street, voices rose and fell in a language Quinn did not recognise. She drew her pistol. The radio hissed once, then went silent. Quinn descended. The door closed above her with a soft, final click. At first, the stairwell smelled of wet stone and sewage. Then something sweeter reached her. Burnt sugar. Clove. Hot metal. The air thickened as she went lower. The walls changed after the second landing. Concrete gave way to black brick, each block slick with moisture. Symbols had been painted across them in colours that shifted when Quinn moved her torch. One mark resembled an eye split down the middle. Another showed a hand with six fingers. She kept her pistol angled towards the steps and placed each foot with care. The suspect’s limp had left a trail of blood. It streaked the stairs in small red crescents. Quinn stopped at the bottom. A vast chamber opened before her. An abandoned Tube station stretched beneath Camden, its platforms buried beneath years of grime and roots. The old roundel above the tracks had cracked down the centre. Ivy pushed through gaps in the ceiling. Gas lamps hung from iron brackets, their flames burning blue and green. The platforms had become a market. Stalls crowded the tiled concourse beneath patched tarpaulins. A woman with antlers sold stoppered bottles that crawled with pale light. A bald man in a suit displayed rows of black teeth on velvet. A child with silver eyes sat behind a cage of moths, each moth carrying a tiny human face on its wings. Quinn remained on the last step. Nobody shouted. Nobody ran. Heads turned. Faces watched her from beneath hoods and veils. Some wore human features badly, as though they had learnt them from photographs. Others did not bother. The suspect vanished into the crowd. Quinn lowered her pistol by two inches. A tall figure in a green apron approached from a stall piled with bones. Its face sagged around a narrow mouth, and a line of gold ran from one temple to the corner of its jaw. “Bone token,” it said. Quinn held up the carved object. The figure leaned close. Its nostrils widened. “Not yours.” “It belonged to the woman who came through here.” “Then you can follow her.” “Where?” The figure pointed towards the darkened tracks. “Market.” Quinn looked down the platform. The tiles bore faded station names, but every letter had been scratched away. Beyond the platform edge, the tracks disappeared into a red mist. Something moved in that mist, low and fast, dragging metal against stone. The suspect’s blood trail continued along the platform. Quinn stepped off the stair. The crowd parted without making space for her. A man with a mouth stitched shut pressed himself against a pillar. A woman in a fur coat held a jar to her chest. Inside the jar, a small blue hand struck the glass. Quinn kept moving. A vendor reached for her sleeve. She caught his wrist and twisted until a joint cracked. “Touch me again and I’ll break the other one.” The vendor smiled through a beard of black feathers. “Police,” he croaked. “You always arrive after the interesting part.” Quinn released him. At the next stall, a rack of knives turned in the air without support. Each blade carried a different name etched into the steel. One of them read MORRIS. Quinn stopped. The name sat beneath a hooked, tarnished blade. For three years, she had carried DS Morris’s final report in the back of her mind. Every line had grown worn from repetition. Lost visual contact. Unidentified assailant. No body recovered. No weapon found. The knife rotated. The name disappeared. Quinn forced herself forward. A shout burst from farther down the platform. The suspect stumbled into view. She slammed against a pillar, one hand clamped over her bleeding side. The canvas satchel had torn open. Glass vials rolled across the tiles, each filled with a dense black liquid. Three figures in long coats pursued her. They moved through the crowd without touching anyone. People stepped away before they arrived. The suspect looked towards Quinn. “Please.” One of the figures turned. Its face wore a white porcelain mask painted with a thin red smile. “Detective,” it called. “You have entered a private market.” Quinn raised her pistol. The market fell silent. Blue flames leaned in their brackets. The stalls stopped creaking. Even the thing beneath the tracks went still. The masked figure tilted its head. “Put the weapon away.” Quinn’s thumb eased the safety off. “Get on the ground.” The suspect laughed once, a broken sound. “You don’t know where you are.” “I know exactly where I am.” “No.” Blood slipped between her fingers. “You think you’ve found a station.” The masked figure took one step closer. A bell rang somewhere in the tunnels. Every vendor turned towards the stairwell. The green-aproned gatekeeper lifted its head and sniffed the air. “Full moon,” it murmured. Quinn looked back. The stairwell had changed. The steps now descended farther than they had before, spiralling beneath the station. A grey light pulsed below, and shapes gathered along the walls. The gatekeeper folded its long hands over its belly. “The Veil Market moves tonight,” it said. “This place will not remain beneath Camden.” Quinn looked at the suspect, then at the three masked figures. Her radio remained dead. Her backup waited somewhere above, searching ordinary streets for a door that no longer existed. The suspect’s knees buckled. Quinn caught her before she fell. The woman’s blood soaked through Quinn’s glove. “Why were they chasing you?” The woman gripped Quinn’s coat with both hands. “Because I took something they buried.” “What?” The masked figure drew a narrow blade from inside its sleeve. Quinn shoved the woman behind her and aimed the pistol at the mask. “Drop it.” The figure stopped. Quinn felt the bone token press against her palm. Its warmth had become heat. Tiny notches along its length opened and closed like teeth. Behind her, the woman whispered, “If you go after them, you won’t come back the same.” Quinn kept the pistol trained on the masked figure. Above, rain hammered a city that no longer knew where she had gone. Below, the tunnel breathed against the platform, and the market waited for her choice. She looked towards the black tracks. Then she stepped past the blood trail and into the Veil Market.
created_at"2026-07-09T17:50:01.876Z" 7/9/2026, 5:50:01 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2432
moderation_latency(null)
generation_time14957
tokens_prompt1140
tokens_completion2793
native_tokens_prompt984
native_tokens_completion2260
native_tokens_completion_images0
native_tokens_reasoning199
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"
usage0.014544
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_069fcee0bc33db71016a4fdf49f7c88193bb387a2d5483c764"
is_byokfalse
latency228
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619401-y2jtZ833vZHYB1CfeFzc"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619401-Ash0yTJa17Cc32H8oFXK"
upstream_id"resp_069fcee0bc33db71016a4fdf49f7c88193bb387a2d5483c764"
total_cost0.014544
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences29
tagDensity0.241
leniency0.483
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1629
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)
81.58% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1629
totalAiIsms6
found
0
word"charged"
count1
1
word"velvet"
count1
2
word"etched"
count1
3
word"porcelain"
count1
4
word"pulsed"
count1
5
word"warmth"
count1
highlights
0"charged"
1"velvet"
2"etched"
3"porcelain"
4"pulsed"
5"warmth"
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
narrationSentences194
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences194
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences216
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1629
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
29.28% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount1491
uniqueNames12
maxNameDensity2.41
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow1
Quinn36
Frith1
Street1
Underground1
Tube1
Camden1
Morris1
Veil1
Market1
One3
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Market"
places
0"Soho"
1"Frith"
2"Street"
3"Veil"
4"One"
globalScore0.293
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences122
glossingSentenceCount1
matches
0"looked like a finger bone, though it had"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1629
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences216
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs128
mean12.73
std12.55
cv0.986
sampleLengths
013
132
21
34
438
54
654
725
838
910
1020
115
125
137
1410
1554
1610
1712
1818
196
202
2117
2219
2324
2421
255
264
2711
286
296
3035
316
326
333
345
3536
364
377
382
3910
4027
4149
4214
4317
445
456
4646
476
4854
496
99.84% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences194
matches
0"been carved"
1"been painted"
2"been scratched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs268
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences216
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1493
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.022103148024112524
lyAdverbCount3
lyAdverbRatio0.0020093770931011385
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences216
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences216
mean7.54
std4.72
cv0.626
sampleLengths
013
116
22
32
412
51
64
72
81
96
1016
1113
124
139
1424
1521
1614
176
185
1910
206
2122
2210
235
242
2513
265
275
287
294
306
3110
329
3313
3410
3512
3610
374
382
396
4018
416
422
434
4413
4511
462
472
483
491
56.02% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.375
totalSentences216
uniqueOpeners81
78.43% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences170
matches
0"Somewhere far beneath the street,"
1"Then something sweeter reached her."
2"Even the thing beneath the"
3"Then she stepped past the"
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences170
matches
0"She saw Quinn’s badge, saw"
1"Her boots struck water and"
2"She pushed through a knot"
3"They always made the same"
4"They treated panic as speed."
5"Her knee hit the ground."
6"She rolled through it, rose,"
7"It had no handle."
8"Her left wristwatch ticked beneath"
9"She checked the time, then"
10"She crouched and picked it"
11"It felt warm in her"
12"She drew her pistol."
13"She kept her pistol angled"
14"It streaked the stairs in"
15"Its face sagged around a"
16"Its nostrils widened."
17"She caught his wrist and"
18"She slammed against a pillar,"
19"They moved through the crowd"
ratio0.147
45.29% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount141
totalSentences170
matches
0"Detective Harlow Quinn caught one"
1"A flash of pale fingers"
2"The figure looked back."
3"Blood ran from one nostril"
4"She saw Quinn’s badge, saw"
5"Quinn launched after her."
6"Her boots struck water and"
7"She pushed through a knot"
8"The woman ran with a"
9"Quinn had spent eighteen years"
10"They always made the same"
11"They treated panic as speed."
12"The woman cut down a"
13"Quinn followed, shoulder grazing wet"
14"Quinn planted one hand on"
15"Her knee hit the ground."
16"She rolled through it, rose,"
17"The woman glanced back again."
18"This time, fear broke across"
19"Fear of what waited behind"
ratio0.829
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences170
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences62
technicalSentenceCount2
matches
0"The woman ran with a limp that worsened each time her left foot hit the ground, but she kept her lead."
1"Quinn had spent eighteen years chasing people who believed the city belonged to them."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
46.55% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount3
fancyTags
0"he croaked (croak)"
1"it murmured (murmur)"
2"the woman whispered (whisper)"
dialogueSentences29
tagDensity0.207
leniency0.414
rawRatio0.5
effectiveRatio0.207
87.8997%