Run: 2026-09-23-01M36NWNFT1Q9ZHTNJ0GVN70KP

Run Details

Duration:
29.2s
Cost:
$0.001189
Provider:
OpenAI

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
Rain turned Soho into a smear of lamps and black glass. Detective Harlow Quinn caught a glimpse of the suspect in a shop window: a narrow man in a dark coat, one hand clamped to his ribs, cutting across the reflection behind her. She pivoted on her heel and drove after him. “Police!” The word vanished beneath the rain and the late-night traffic. A bus shouldered through the junction, hissing water over the curb. The suspect darted between two parked cars and slipped into an alley before the bus had cleared. Quinn followed, one hand braced against the wet brick as she took the corner. Her shoes skidded. She caught herself, pushed on. The alley smelled of bins, damp stone, and something sour underneath. At its far end, the suspect slammed through a gate and spilled into another street. Quinn’s breath was steady, but her pulse struck hard beneath her collar. Eighteen years on the job had taught her the difference between panic and exertion. This was neither. This was the cold, precise focus that arrived when a case threatened to slip away. The suspect had been at the Raven’s Nest ten minutes earlier. Quinn had watched him leave beneath the green neon sign, its light trembling in the rain. Inside, the bar’s maps and black-and-white photographs had offered a hundred places for a man to hide his face. The bartender had offered nothing. The customers had offered less. But the suspect had looked over his shoulder twice before reaching the corner. He knew he was being watched. Quinn hit the pavement behind him. He glanced back and saw her. For one beat he hesitated. Then he ran. She ran harder. They tore through narrow streets slick with rain, past shuttered storefronts and a takeaway with its metal grille pulled halfway down. The suspect cut through a courtyard, vaulted a low wall, and landed badly. His left leg buckled. Quinn gained ground. “Stop!” He looked back again. His face was pale beneath the streetlights. Blood darkened the side of his coat, though whether his own or someone else’s she couldn’t tell. He shoved through a gap between two buildings and burst onto a broader road where the traffic had thinned to taxis and delivery vans. Quinn’s worn leather watch slapped against her wrist as she sprinted. She glanced at it without meaning to. The habit had stayed with her even after she’d learned that time on a chase was measured in distance, not seconds. The suspect veered toward a construction site. A chain-link fence blocked the pavement, but he found a loose panel and squeezed through. Quinn caught the wire with her coat sleeve. It snagged. She yanked free and followed, tearing a seam. On the other side, the city changed. The construction lights threw hard white angles across churned mud and stacked pallets. The suspect was already at the far end, forcing open a service door in a concrete wall. Quinn reached it as it swung shut. She caught the edge with her palm and slipped through. A stairwell dropped away beyond the threshold. The air smelled of wet concrete and old metal. Somewhere below, a train clattered over the tracks, though no station should have been close. The suspect’s footsteps hammered down the steps. Quinn drew her weapon and followed. “Police! Hands where I can see them!” The answer was a door slamming below. She took the stairs two at a time. At the bottom, a short passage ended at a tiled wall painted with a faded Underground roundel. Beyond it, a tunnel opened into darkness. The sound of the train faded. Water dripped steadily from overhead. Quinn slowed. Her breath fogged in the cold. A door stood ajar in the tunnel wall, its red paint blistered and peeling. Beyond it, light flickered amber. Voices murmured—many of them, gathered close together. The suspect was nowhere in sight. She lowered her weapon a fraction and listened. A woman laughed. Something answered with a thin, wet clicking sound. Quinn’s jaw tightened. She’d heard that sound before, three years ago, in the case that had taken DS Morris. The memory came without warning: a corridor smeared with dust, Morris’s voice breaking off mid-sentence, the impossible dark beyond the sealed door. The report had called it structural collapse. No body had been found. No explanation had held. She’d spent three years trying to make the evidence obey ordinary rules. The suspect moved behind the door. A shadow passed across the amber light. Quinn stepped through. The passage opened onto a platform that had been abandoned long enough for weeds to prise up the cracked tiles. Old station signs hung crooked from the walls. The name on them had been scraped away. Stalls crowded the platform beneath patched tarpaulins, their tables crowded with bottles, bundles of herbs, tarnished rings, and objects Quinn could not name. A man with translucent skin leaned over a case of silver needles. A girl with black eyes held up a jar in which something pale curled and unc curled against the glass. The market went quiet around her. Quinn stopped at the edge of the platform. Her gun felt suddenly ridiculous in her hand. She swept the crowd with her eyes, searching for the suspect, for exits, for anything that made sense. The old station extended into shadow at both ends. A bone-white token dangled from a stallkeeper’s fingers on a thin cord. “No weapons,” someone said. Quinn turned toward the voice. The speaker was a broad woman behind a table of copper masks. Her face was hidden by one of them, but her voice held the weary patience of a doorman. “I’m a police officer,” Quinn said. “Then you’ve come without an invitation.” “I’m pursuing a suspect.” “Everyone is.” A ripple of amusement moved through the crowd. It was not friendly. The suspect emerged near the far end of the platform. He’d pulled off his coat. Blood soaked through his shirt at the ribs. He saw Quinn and ran again, pushing past a stall piled with glass bottles. Quinn took a step after him. The masked woman planted one hand on the table. “If you draw blood here, the Market will collect.” “Move.” The woman didn’t. Quinn measured the distance to the suspect. Twenty metres, maybe less. He was limping. If he reached the tunnel, she might lose him. If she lowered her weapon, someone could put a knife in her back. If she fired, the crowd would close around her before she had time to find a second shot. Her training offered answers for rooms with doors, suspects with hands, witnesses who understood the law. It had nothing to say about a station that shouldn’t exist, about a market beneath Camden where things in jars watched her pass, about the taste of old pennies rising at the back of her throat. She thought of Morris. Not the case file or the unanswered questions, but the last ordinary thing he’d said to her: Don’t let them decide what you’re allowed to see. Quinn holstered her weapon. The crowd drew back—not enough to make a path, just enough to show that they had noticed. “I need to get through,” she said. “Pay the toll.” The masked woman held out her hand. Quinn’s fingers found the small evidence pouch in her coat pocket. Inside lay the suspect’s dropped keycard, recovered outside the Raven’s Nest. She’d taken it from the gutter before the rain could wash it away. The card meant nothing here, but it was the only thing she had that didn’t belong to her. She set it on the table. The masked woman touched the plastic with one gloved finger. The card’s surface clouded, then went black. “Accepted.” The passage opened around Quinn. She ran. The suspect was reaching the tunnel mouth when Quinn caught him by the collar and slammed him against the tiled wall. He gasped, more from surprise than pain. She twisted his arm behind his back and pinned him there. “Don’t move.” “Get off me!” “Not until you tell me what happened to the man in the bar.” The suspect’s eyes flicked toward the market. “You shouldn’t be here.” “I’ve gathered that.” “You don’t know what you’re touching.” Quinn tightened her grip. He hissed. Behind them, the market’s voices rose, then fell away. The masked woman watched from her stall. Nobody came to help. Nobody needed to. Quinn felt the entire platform listening. “What is this place?” she asked. “The Veil Market.” The name struck her with the weight of a door closing. She’d heard it once, buried in a dead man’s notes from a case three years old. Morris’s handwriting, narrow and urgent, beside a list of places that were supposed to be myths. The suspect turned his face toward her. Rainwater and sweat shone on his skin. “You shouldn’t have followed.” Quinn looked past him into the dark tunnel. Somewhere in its depths, something knocked once against the walls. The sound carried through the station and left the market silent. Her hand found her watch. The leather strap was wet, the buckle cold against her wrist. She thought of the surface streets, of the green neon over the Raven’s Nest, of the familiar rules waiting above. Then she looked at the suspect’s bloody shirt and the tunnel swallowing the last of the light. “Tell me what happened to Morris,” she said. The suspect stopped struggling. For the first time, fear broke through his expression. Not fear of her. Fear of what lay behind her. “I didn’t kill him,” he whispered. Quinn’s grip loosened by a fraction. The knock came again, farther away this time. Or closer. She couldn’t tell. “Then you’re going to explain everything.” The suspect swallowed. “Not here.” Quinn looked back at the market. The stalls seemed to have shifted while she wasn’t watching. The passage behind her had narrowed, its entrance framed by shadows. On the platform, the masked woman lifted a hand and pointed down the tunnel. The suspect’s eyes followed the gesture. Quinn drew him away from the wall. “You’re coming with me.” He gave a short, disbelieving laugh. “You still think you’re in charge.” “No,” she said. “I think you’re the only lead I’ve got.” She started down the tunnel, keeping one hand locked in the back of his shirt and the other near her holstered weapon. The market’s light dwindled behind them. The air grew colder. Above, the city went on without knowing what lay underneath it. After a dozen steps, the suspect began to tremble. Quinn did not let go.
created_at"2026-09-23T08:25:06.817Z" 9/23/2026, 8:25:06 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1979
moderation_latency(null)
generation_time29222
tokens_prompt888
tokens_completion2701
native_tokens_prompt810
native_tokens_completion2215
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"
usage0.0011885
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790151906-qJ85c1Tgl1sPR7jXosme"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790151906-KGseVXEEwtYI0gDD6gSn"
upstream_id"resp_0b29a29fd28976a6016ab38ce2ea2887d19c8a12649f9ecc58"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0b29a29fd28976a6016ab38ce2ea2887d19c8a12649f9ecc58"
is_byokfalse
latency989
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0011885
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences30
tagDensity0.233
leniency0.467
rawRatio0
effectiveRatio0
97.17% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1768
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
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)
71.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1768
totalAiIsms10
found
0
word"pulse"
count1
1
word"measured"
count2
2
word"churned"
count1
3
word"footsteps"
count1
4
word"flickered"
count1
5
word"flicked"
count1
6
word"weight"
count1
7
word"depths"
count1
8
word"familiar"
count1
highlights
0"pulse"
1"measured"
2"churned"
3"footsteps"
4"flickered"
5"flicked"
6"weight"
7"depths"
8"familiar"
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
narrationSentences176
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount2
narrationSentences176
filterMatches
0"watch"
1"decide"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences199
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1766
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
55.55% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount1641
uniqueNames9
maxNameDensity1.89
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn31
Raven3
Nest3
Underground1
Morris4
Camden1
Don1
persons
0"Harlow"
1"Quinn"
2"Morris"
places
0"Soho"
globalScore0.555
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences127
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.566
wordCount1766
matches
0"Not the case file or the unanswered questions, but the last ordinary thing he’d said to her: Don’t let them dec"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences199
matches
0"learned that time"
1"heard that sound"
2"show that they"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs91
mean19.41
std19.54
cv1.007
sampleLengths
011
141
21
352
48
570
656
713
86
920
103
1141
121
1352
1439
1540
1637
1717
187
1931
206
217
227
2343
248
2532
268
2711
2857
2912
3013
313
3291
336
3455
354
3635
376
386
394
402
4112
4237
436
4418
451
463
4754
4852
4930
91.31% Passive voice overuse
Target: ≤2% passive sentences
passiveCount7
totalSentences176
matches
0"was measured"
1"been found"
2"been abandoned"
3"been scraped"
4"was hidden"
5"allowed"
6"were supposed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs300
matches
0"was being"
1"was limping"
2"was reaching"
3"wasn’t watching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences199
ratio0.01
matches
0"Voices murmured—many of them, gathered close together."
1"The crowd drew back—not enough to make a path, just enough to show that they had noticed."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1649
adjectiveStacks0
stackExamples(empty)
adverbCount37
adverbRatio0.022437841115827774
lyAdverbCount5
lyAdverbRatio0.0030321406913280777
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences199
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences199
mean8.87
std5.87
cv0.662
sampleLengths
011
132
29
31
410
511
617
714
83
95
1011
1115
1212
1314
143
1515
1611
1716
1819
195
205
2113
226
236
246
255
263
273
2821
2913
304
313
321
334
347
3517
3624
3711
387
3921
407
4115
428
432
448
457
4613
4717
487
4910
42.96% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.2562814070351759
totalSentences199
uniqueOpeners51
81.30% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences164
matches
0"Then he ran."
1"Somewhere below, a train clattered"
2"Somewhere in its depths, something"
3"Then she looked at the"
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences164
matches
0"She pivoted on her heel"
1"Her shoes skidded."
2"She caught herself, pushed on."
3"He knew he was being"
4"He glanced back and saw"
5"She ran harder."
6"They tore through narrow streets"
7"His left leg buckled."
8"He looked back again."
9"His face was pale beneath"
10"He shoved through a gap"
11"She glanced at it without"
12"She yanked free and followed,"
13"She caught the edge with"
14"She took the stairs two"
15"Her breath fogged in the"
16"She lowered her weapon a"
17"She’d heard that sound before,"
18"She’d spent three years trying"
19"Her gun felt suddenly ridiculous"
ratio0.238
48.41% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount135
totalSentences164
matches
0"Detective Harlow Quinn caught a"
1"She pivoted on her heel"
2"The word vanished beneath the"
3"A bus shouldered through the"
4"The suspect darted between two"
5"Quinn followed, one hand braced"
6"Her shoes skidded."
7"She caught herself, pushed on."
8"The alley smelled of bins,"
9"Quinn’s breath was steady, but"
10"This was neither."
11"This was the cold, precise"
12"The suspect had been at"
13"Quinn had watched him leave"
14"The bartender had offered nothing."
15"The customers had offered less."
16"He knew he was being"
17"Quinn hit the pavement behind"
18"He glanced back and saw"
19"She ran harder."
ratio0.823
91.46% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences164
matches
0"If he reached the tunnel,"
1"If she lowered her weapon,"
2"If she fired, the crowd"
ratio0.018
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences67
technicalSentenceCount3
matches
0"Her training offered answers for rooms with doors, suspects with hands, witnesses who understood the law."
1"It had nothing to say about a station that shouldn’t exist, about a market beneath Camden where things in jars watched her pass, about the taste of old pennies …"
2"Morris’s handwriting, narrow and urgent, beside a list of places that were supposed to be myths."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"he whispered (whisper)"
dialogueSentences30
tagDensity0.233
leniency0.467
rawRatio0.143
effectiveRatio0.067
92.6629%