Run: 2026-07-09-01KX40TKD1Y1GTP79R0S30ERQT

Run Details

Duration:
13.7s
Cost:
$0.013014
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 into a blur of reflected neon and black water. Detective Harlow Quinn kept the suspect in sight through the windscreen of a parked delivery van. A narrow figure in a charcoal coat cut across the road, one hand clamped over their ribs, the other gripping a leather satchel. Green light from The Raven’s Nest spilled across the puddles, turning each footstep poisonous. Quinn opened the van door. “Police! Stop!” The figure glanced back. That single movement gave Quinn the face: pale, sharp, young enough to look breakable, with blood shining at the corner of their mouth. Then the suspect vaulted a barrier and vanished between two shuttered shops. Quinn crossed the road without waiting for traffic. A taxi horn blared. Its tyres threw a sheet of dirty water over her trousers. She did not slow. Her leather watch knocked against her wrist as she ran. The rain had soaked through her coat, but the cold never reached the centre of her concentration. Eighteen years in the Metropolitan Police had taught her what panic looked like. Panic ran in straight lines. This person ran like they knew every escape route in the city. Quinn cut through an alley. A bin toppled behind her. Glass scattered over the pavement. She raised her torch, caught the pale face again, and saw the suspect skid beneath a fire escape. “Drop the bag!” The suspect ducked into a service entrance. Quinn reached the door seconds later. It stood ajar. Beyond it, a stairwell descended beneath the buildings, lit by a trembling strip of fluorescent tubes. She drew her pistol. The door slammed somewhere below. Quinn stepped inside. The stairwell smelled of wet brick, diesel and something sweet that coated the back of her throat. She descended with her weapon held close, boots striking concrete. The city’s noise dwindled above her. Rain became a faint hiss against the street. At the bottom, she found a passage running beneath Soho. Old utility cables sagged from the ceiling. Water flowed along the central channel, carrying cigarette ends and scraps of paper. Quinn touched the radio at her shoulder. “Control, this is Detective Quinn. I’m pursuing a suspect through an underground service tunnel beneath Frith Street. Request units to—” Static swallowed the rest. She pressed the button again. “Control, respond.” Only a low crackle answered. Quinn moved forward. The passage opened into a disused platform. An ancient Underground roundel hung crooked above the tracks, its colours bleached to grey. The rails had vanished beneath black mud. Along the platform, lamps burned inside jars, each flame blue and steady despite the draught. The suspect stood at the far end. Their coat hung open now. Blood darkened their shirt beneath the ribs. The satchel rested against one knee. Quinn raised her pistol. “Hands where I can see them.” The suspect laughed once, a dry sound that bounced beneath the tiled ceiling. “You followed me all the way down here?” “You’re under arrest.” “For what?” “Attempted murder. Possession of stolen property. Obstruction.” The suspect looked over Quinn’s shoulder. “Then you should leave before the people behind you arrive.” Quinn kept her eyes on them. The hair at the back of her neck lifted. A scrape sounded in the tunnel above. She turned her head by an inch. Three figures stood at the stairwell entrance. Their faces remained hidden beneath waxed hoods, but their hands showed pale and jointed against their coats. One held a hooked blade. Another carried a lantern filled with red liquid. The suspect snatched up the satchel. “Don’t let them take me.” “You’re in no position to give orders.” “Neither are you.” The blue flames guttered. The hooded figures began walking down the platform. Quinn aimed at the nearest one. “Stop.” The figure kept moving. She fired into the ceiling. The shot cracked through the station. Dust fell in a grey veil. The hooded figures stopped, but the one with the hooked blade tilted its head and smiled beneath the shadow of its hood. The suspect ran. Quinn swore and pursued them along the platform. The train tunnel yawned beyond the far wall, but the suspect veered left through a maintenance arch. Quinn followed, shoulder clipping damp brick. The arch opened into a staircase. They descended again. The steps narrowed until Quinn had to turn sideways. Water slid down the walls. A sour metallic smell filled the air. Below, voices rose and fell in a language she did not recognise. The suspect reached the bottom and shoved through a pair of iron gates. Quinn came after them. The gates swung shut behind her. For a moment, she stood in silence. Then the market unfolded before her. It occupied the abandoned station’s main concourse, spreading beneath a vaulted roof stained with decades of smoke. Canvas stalls crowded the old ticket hall. Chains of yellow bulbs hung overhead. Vendors leaned over counters displaying objects that moved when no one touched them: glass jars filled with blue insects, silver knives with handles made from teeth, bottled smoke, black fruit wrapped in waxed paper. The air carried hot spices, coal smoke and the copper tang of blood. People moved between the stalls in coats, robes and masks. Some looked human. Others kept their features hidden beneath veils, hoods or layers of bandages. A woman with antlers braided into her hair haggled over a box of pale eggs. A boy with mirrored eyes watched Quinn from behind a heap of bottled shadows. The suspect vanished into the crowd. Quinn stood at the gate, pistol lowered but ready. No radio signal reached her. No backup could find her. The ticket hall stretched in every direction, packed with strangers who had witnessed her arrival and decided not to react. A vendor approached from the nearest stall. He wore a suit stitched from different shades of black, with a smile too wide for his face. “Constable,” he murmured. “Detective.” His gaze flicked to her weapon. “That distinction won’t travel far here.” “Where is the person with the satchel?” “I sell directions.” “Then sell me one.” He rubbed his thumb against two fingers. Quinn reached into her coat pocket and found nothing suitable. She had cash, a warrant card and three rounds left in the magazine. The vendor watched her search with increasing amusement. A small white token appeared between his fingers. It looked like a knucklebone. “Bone token,” he said. “Worth more than your paper and less than your life.” Quinn seized his wrist. The vendor’s skin felt cold and slick, like fish beneath ice. “Where?” His smile faltered. “Turn left at the dead clock. Follow the smell of burnt rosemary. If you reach the butcher, you’ve gone too far.” Quinn released him. “Why help me?” “I didn’t.” A bell rang somewhere in the market. The crowd parted. The suspect emerged between two stalls, satchel pressed to their chest. Blood ran down their hand. Behind them, the three hooded figures entered through the gates. The crowd folded around them, opening a clear path. The suspect spotted Quinn. Their face tightened. “You shouldn’t have come.” Quinn pushed through the market. “Keep running and I’ll add resisting arrest.” “You think this is still London?” “It’s beneath Camden.” “That’s not what I meant.” A man at a nearby stall lunged for Quinn’s coat. She twisted, drove her elbow into his throat and tore free as he hissed. His fingers had ended in black claws. The stallkeeper shouted after her, but Quinn kept moving. The suspect sprinted towards an old ticket barrier. The barrier’s metal arms spun without power. They crossed through and disappeared down another flight of stairs. Quinn reached the barrier. A woman in a red veil blocked her path. “Bone token,” she demanded. “Move.” “You need a token to enter.” Quinn produced her warrant card. The woman stared at it, then at Quinn’s rain-darkened coat. “Paper won’t open the way.” The hooded figures reached the edge of the crowd. Quinn turned. The one with the hooked blade had removed its hood. Its face looked almost human, except for the smooth skin where its eyes should have been. It raised the blade and pointed towards the staircase. The suspect shouted from below. “Detective!” Quinn faced the woman in the veil. “Give me the token.” “Pay.” Quinn drew her pistol and pressed the muzzle beneath the woman’s chin. “Open the way.” The woman’s veil trembled. She reached beneath her robes and drew out a small piece of polished bone carved with a black spiral. Quinn snatched it from her hand. The iron barrier shuddered. Its arms folded inward. The woman leaned close. “Return before the bell tolls twice.” “What happens then?” The woman’s eyes gleamed behind the veil. “You stay where the market moves.” Quinn stepped through. The staircase descended into darkness, narrower and older than the passages above. The market noise faded behind her, replaced by the slap of running feet. The suspect had gained distance. Quinn held the bone token in one hand and her pistol in the other. The token pulsed against her palm, warm as a living thing. At the bottom, a tunnel split in three directions. On the left, burnt rosemary scented the air. On the right, blood and wet fur drifted from the dark. Straight ahead, a single bulb swung above a steel door. The suspect’s footsteps echoed from beyond it. Quinn reached for the handle. Behind her, far up the stairs, the first bell tolled.
created_at"2026-07-09T18:04:19.241Z" 7/9/2026, 6:04:19 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency479
moderation_latency(null)
generation_time13310
tokens_prompt1140
tokens_completion2656
native_tokens_prompt984
native_tokens_completion2005
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"
usage0.013014
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_083c0d2ae24d4b85016a4fe2a350f48195a077ef1a6e10a3b4"
is_byokfalse
latency220
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-1783620259-qbPSWVdXGXmRQ9uHOLbD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620259-ouC3xelmewRm0wtKIFco"
upstream_id"resp_083c0d2ae24d4b85016a4fe2a350f48195a077ef1a6e10a3b4"
total_cost0.013014
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences42
tagDensity0.071
leniency0.143
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1575
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)
80.95% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1575
totalAiIsms6
found
0
word"silence"
count1
1
word"flicked"
count1
2
word"trembled"
count1
3
word"pulsed"
count1
4
word"footsteps"
count1
5
word"echoed"
count1
highlights
0"silence"
1"flicked"
2"trembled"
3"pulsed"
4"footsteps"
5"echoed"
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
narrationSentences162
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences162
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences201
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1575
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1372
uniqueNames8
maxNameDensity2.62
worstName"Quinn"
maxWindowNameDensity5.5
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow1
Quinn36
Raven1
Nest1
Metropolitan1
Police1
Underground1
persons
0"Harlow"
1"Quinn"
2"Nest"
3"Police"
places
0"Soho"
1"Raven"
2"Metropolitan"
globalScore0.188
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences110
glossingSentenceCount1
matches
0"looked like"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1575
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences201
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs135
mean11.67
std13.1
cv1.123
sampleLengths
012
153
25
32
44
535
623
74
857
95
1028
113
127
1325
144
155
163
1741
1810
1927
2020
214
225
232
245
253
2643
277
2818
294
306
3113
328
333
342
357
366
3710
3815
397
4044
416
425
437
443
454
468
476
481
494
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences162
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs233
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences201
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1373
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.014566642388929352
lyAdverbCount1
lyAdverbRatio0.0007283321194464676
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences201
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences201
mean7.84
std4.99
cv0.637
sampleLengths
012
116
223
314
45
52
64
723
812
98
104
1111
124
1310
1417
1513
165
1712
185
195
205
2118
223
237
246
253
2616
274
285
293
3017
3110
326
338
3410
357
3613
377
3820
394
405
412
425
433
447
4514
467
4715
487
495
51.24% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.34328358208955223
totalSentences201
uniqueOpeners69
63.29% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences158
matches
0"Then the suspect vaulted a"
1"Only a low crackle answered."
2"Then the market unfolded before"
ratio0.019
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences158
matches
0"Its tyres threw a sheet"
1"She did not slow."
2"Her leather watch knocked against"
3"She raised her torch, caught"
4"It stood ajar."
5"She drew her pistol."
6"She descended with her weapon"
7"She pressed the button again."
8"Their coat hung open now."
9"She turned her head by"
10"Their faces remained hidden beneath"
11"She fired into the ceiling."
12"They descended again."
13"It occupied the abandoned station’s"
14"He wore a suit stitched"
15"His gaze flicked to her"
16"He rubbed his thumb against"
17"She had cash, a warrant"
18"It looked like a knucklebone."
19"His smile faltered."
ratio0.177
29.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount136
totalSentences158
matches
0"Detective Harlow Quinn kept the"
1"A narrow figure in a"
2"Quinn opened the van door."
3"The figure glanced back."
4"That single movement gave Quinn"
5"Quinn crossed the road without"
6"A taxi horn blared."
7"Its tyres threw a sheet"
8"She did not slow."
9"Her leather watch knocked against"
10"The rain had soaked through"
11"Panic ran in straight lines."
12"This person ran like they"
13"Quinn cut through an alley."
14"A bin toppled behind her."
15"Glass scattered over the pavement."
16"She raised her torch, caught"
17"The suspect ducked into a"
18"Quinn reached the door seconds"
19"It stood ajar."
ratio0.861
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences158
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount1
matches
0"The ticket hall stretched in every direction, packed with strangers who had witnessed her arrival and decided not to react."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount2
fancyTags
0"he murmured (murmur)"
1"she demanded (demand)"
dialogueSentences42
tagDensity0.071
leniency0.143
rawRatio0.667
effectiveRatio0.095
87.5036%