Run: 2026-09-23-01M36NJ160M9GA9TJ2QK6ZPV0B

Run Details

Duration:
28.1s
Cost:
$0.001121
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 Detective Harlow Quinn’s shoulders and ran in cold lines beneath her collar. The suspect cut across Dean Street, scattering two men beneath a shop awning, then turned into a narrow passage between a shuttered tailor’s and a restaurant with its kitchen lights still burning. Quinn followed. Her boots struck the pavement in clipped, hard beats. She had run through worse weather, worse streets, and worse lies. The man ahead wore a dark coat and carried his left arm stiff against his side. He had blood on his cuff. The trail had started in a flat above Berwick Street, where a woman lay unconscious beside a smashed mirror and a drawer full of counterfeit passports. “Police!” Quinn called. “Stop.” He looked back, saw her, and gained speed. The passage spat them onto a broader road. A bus hissed past, throwing water over the kerb. The suspect darted behind it. Quinn cut the other way, shouldered through a pair of tourists, and reached the opposite pavement as the bus pulled off. For half a second she lost him. Then a flash of dark coat appeared beyond the green neon sign of the Raven’s Nest. Quinn crossed against the traffic. A horn blared. She kept her eyes on the suspect, who shoved through the bar’s entrance without slowing. The sign above the door flickered against the rain, green light breaking across the puddles. She reached the doorway and drew her sidearm. Inside, warm air carried the smell of beer, damp wool, and old wood. The bar fell quiet around her. Faces turned from the counter, where a bartender had a glass in one hand and a towel in the other. Maps and black-and-white photographs covered the walls. Near the far end, the suspect slipped through a door behind the bar. “Which way?” Quinn demanded. The bartender set down the glass. “You’ve got a warrant?” “I’ve got a fleeing suspect.” “Then you should have kept up.” Quinn moved. The door opened on a cramped corridor and a flight of stairs leading down. She heard a crash below, then a door slam. “Stay here,” she called over her shoulder. No one answered. She took the stairs two at a time. At the bottom, she found a narrow storeroom lined with barrels and stacked crates. A bookshelf stood against the far wall, its shelves crowded with ledgers and battered hardbacks. One book lay face down on the floor. Quinn raised her weapon and listened. The rain drummed overhead. Somewhere in the walls, pipes knocked. She moved to the bookshelf. The suspect had gone through it; the casework had shifted a fraction from the wall, leaving a black seam. Quinn put her shoulder to the shelf and pushed. It gave with a wooden groan, opening onto another passage. Her radio crackled. “Quinn, where are you?” Her sergeant’s voice clipped through the static. “We’ve got the address secured. You need to tell me you’re not alone.” “Suspect heading underground. I’m following.” “Where underground?” “Unknown.” “Quinn, hold position. Uniforms are three minutes out.” She stared down the passage. A smear of blood marked the stone floor. Beyond it, a metal door stood ajar. “Three minutes is a long time.” “Don’t go in blind.” The radio fizzed. Quinn stepped through the gap. The passage ended at a service stairwell, its concrete steps slick with condensation. The air changed as she descended: less beer and damp brick, more iron, soot, and something sharp that caught at the back of her throat. She heard voices below, layered and indistinct, and the suspect’s boots striking metal. At the bottom, a tunnel opened into an abandoned Tube station. Quinn stopped at the threshold. Platforms stretched into darkness on either side of a central concourse. Old signage hung crooked above a row of ticket windows. Someone had painted over the station name, but the white letters showed through in patches. Lamps wired along the tiled walls cast a weak amber glow. Their cords ran over the floor and disappeared into stalls made from tarpaulins, scavenged doors, and rusted fencing. People filled the station. A woman in a red veil sold glass vials from a case lined with felt. A broad-shouldered man weighed silver coins on a kitchen scale. Near a dead ticket machine, a pair of teenagers watched a cage that rattled though nothing inside could be seen. The crowd made room for Quinn without making way. The suspect had vanished among them. Quinn brought her weapon up. “Put that away,” said a man beside a stall. “You’ll start a stampede.” “Where did he go?” “Who?” “Dark coat. Blood on his sleeve.” A few faces turned. Most kept busy with their wares. The man glanced at her badge. His smile showed a gold tooth. “This isn’t your station, officer.” “Detective. Now answer.” “Then detect.” Quinn stepped towards him. He held his hands out, palms empty. His sleeves were too long; something beneath one cuff clicked against the stall’s counter. Her radio broke into a burst of static. She pressed the button. “Quinn to control. I’m beneath Camden, inside an abandoned station. Send backup to the service entrance off—” The radio died. A woman with a shaved head pushed between two stalls, holding a paper cup. “You won’t get a signal here.” Quinn turned to her. “You know the suspect?” “I know the coat.” “Where?” The woman tipped her cup towards the far platform. “He went down there.” “Why didn’t you say so?” “Because you came in pointing a gun.” Quinn scanned the platform. The suspect was nowhere in sight. A dark tunnel mouth yawned beyond a row of peeling tiles. Beside it, a rusted gate had been chained shut. Fresh blood marked the bottom rail. She took a step. “Stop,” the woman said. “You need a token.” “I don’t need anything from you.” The woman reached into her coat and held up a small disc of bone. A hole had been drilled through its centre, and a black thread looped through it. “Market entry. You came in through the wrong door.” “I’m already here.” “Not where he went.” Quinn looked past her. The tunnel seemed to breathe cold air over the platform. An old emergency lamp buzzed above the gate. Behind her, the stalls resumed their chatter, but the voices had dropped, turned watchful. “What’s down there?” “More market.” “That isn’t an answer.” “It’s the only one you’re getting for free.” Quinn drew her wallet, but the woman shook her head. “Money won’t open it.” “Then give me the token.” “Why?” “Because I’m going after him.” The woman’s eyes moved to Quinn’s left wrist. Her worn leather watch clung dark with rain. “You’ve got no idea what you’re walking into.” “I’ve heard that before.” “And did you listen?” Quinn lowered the weapon a fraction. “Do you want to keep talking, or do you want to help me catch a man who’s bleeding through his coat?” “He’ll be dead before he reaches the other side.” “Then I’ll need to move.” The woman curled her fingers around the token. A crash rang out from the tunnel. Then a shout, cut short. Quinn started forward. The woman caught her sleeve. Quinn snapped her arm free, but did not raise her gun. “Let go.” “Your badge means nothing down there. Your gun means less. That token is the difference between walking through and being noticed.” “Noticed by what?” The woman opened her hand. The bone disc lay across her palm. Fine marks scored its face in concentric rings. Quinn took it. The woman’s fingers closed around Quinn’s wrist before she could pull away. Her grip felt like wire. “Do not give your name to anyone.” Quinn looked at the hand, then the woman’s face. “I don’t make deals with people who grab me.” “Then don’t make one. Just remember.” The woman released her. Quinn slid the token into her pocket, checked her pistol, and moved to the gate. A chain looped through the bars, sealed with a padlock the colour of old blood. She held the token near it. A click sounded inside the lock. The chain dropped. Behind her, the gold-toothed man called out, “Detective.” Quinn turned. He had stepped away from his stall. The object under his cuff was gone. His gold tooth caught the amber light. “You should stay in the station.” “Why?” “Because you don’t know what hunts in the tunnels.” “Do you?” His smile faded. Quinn pulled the gate open. A corridor sloped down beyond it, its tiled walls stained with soot and mineral streaks. The air that came up smelled of wet stone and hot pennies. From below, she heard footsteps running away from her. She could wait for backup. Three minutes, if the service entrance remained clear. Longer if the market had swallowed the route behind her. The suspect might bleed out before then. He might also be leading her into a place where the badge on her coat carried no weight and the gun in her hand offered no protection. Quinn glanced back at the crowd. Nobody reached for a phone. Nobody looked alarmed. They watched her as if she had walked into a room where the rules had already been explained. Her radio remained dead in her fist. She clipped it back to her belt and stepped through the gate. The lock snapped shut behind her. Quinn turned at the sound, then faced the tunnel again. She kept her gun low, the bone token tight in her other hand, and descended towards the fading footfalls.
created_at"2026-09-23T08:19:18.342Z" 9/23/2026, 8:19:18 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1747
moderation_latency(null)
generation_time28055
tokens_prompt1104
tokens_completion2481
native_tokens_prompt984
native_tokens_completion2045
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"
usage0.0011209
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790151558-HAxYjWzpfEp8nir9sfIG"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790151558-Eew1zFwaxWD48zXEilOM"
upstream_id"resp_0c1c85d890f63af0016ab38b86708c87d1b0da738e1ad6d067"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0c1c85d890f63af0016ab38b86708c87d1b0da738e1ad6d067"
is_byokfalse
latency396
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0011209
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences62
tagDensity0.097
leniency0.194
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1587
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)
87.40% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1587
totalAiIsms4
found
0
word"flickered"
count1
1
word"scanned"
count1
2
word"footsteps"
count1
3
word"weight"
count1
highlights
0"flickered"
1"scanned"
2"footsteps"
3"weight"
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
narrationSentences142
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences142
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences197
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1587
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount1270
uniqueNames9
maxNameDensity2.36
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn30
Dean1
Street2
Berwick1
Raven1
Nest1
Tube1
persons
0"Harlow"
1"Quinn"
2"Raven"
places
0"Dean"
1"Street"
2"Berwick"
globalScore0.319
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences101
glossingSentenceCount1
matches
0"appeared beyond the green neon sign of the Raven’s Nest"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1587
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences197
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs115
mean13.8
std15.42
cv1.118
sampleLengths
046
12
268
34
48
543
67
716
838
98
1059
114
126
134
145
156
1625
177
183
1945
206
2110
2243
233
2424
255
262
271
288
2920
306
314
328
3351
3411
355
3665
374
3854
396
405
4113
424
431
446
4510
4617
473
482
4925
95.38% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences142
matches
0"been chained"
1"been drilled"
2"was gone"
3"been explained"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs217
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences197
ratio0.01
matches
0"The suspect had gone through it; the casework had shifted a fraction from the wall, leaving a black seam."
1"His sleeves were too long; something beneath one cuff clicked against the stall’s counter."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1274
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.015698587127158554
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences197
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences197
mean8.06
std5.34
cv0.663
sampleLengths
014
132
22
39
411
516
66
726
83
91
108
118
129
135
1421
157
1616
175
183
1915
2015
218
2213
236
2420
257
2613
274
286
294
305
316
322
3314
349
357
363
378
3814
3915
408
416
424
436
445
4519
469
4710
483
4911
53.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3350253807106599
totalSentences197
uniqueOpeners66
72.99% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences137
matches
0"Then a flash of dark"
1"Somewhere in the walls, pipes"
2"Then a shout, cut short."
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences137
matches
0"Her boots struck the pavement"
1"She had run through worse"
2"He had blood on his"
3"He looked back, saw her,"
4"She kept her eyes on"
5"She reached the doorway and"
6"She heard a crash below,"
7"she called over her shoulder"
8"She took the stairs two"
9"She moved to the bookshelf."
10"It gave with a wooden"
11"Her radio crackled."
12"Her sergeant’s voice clipped through"
13"She stared down the passage."
14"She heard voices below, layered"
15"Their cords ran over the"
16"His smile showed a gold"
17"He held his hands out,"
18"His sleeves were too long;"
19"Her radio broke into a"
ratio0.248
47.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount113
totalSentences137
matches
0"The suspect cut across Dean"
1"Her boots struck the pavement"
2"She had run through worse"
3"The man ahead wore a"
4"He had blood on his"
5"The trail had started in"
6"He looked back, saw her,"
7"The passage spat them onto"
8"A bus hissed past, throwing"
9"The suspect darted behind it."
10"Quinn cut the other way,"
11"Quinn crossed against the traffic."
12"A horn blared."
13"She kept her eyes on"
14"The sign above the door"
15"She reached the doorway and"
16"The bar fell quiet around"
17"Faces turned from the counter,"
18"Maps and black-and-white photographs covered"
19"The bartender set down the"
ratio0.825
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences137
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount1
matches
0"Near a dead ticket machine, a pair of teenagers watched a cage that rattled though nothing inside could be seen."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Quinn demanded (demand)"
dialogueSentences62
tagDensity0.065
leniency0.129
rawRatio0.25
effectiveRatio0.032
88.5553%