Run: 2026-07-09-01KX405HFK60DA9WH0VGAG51SF

Run Details

Duration:
1m 1s
Cost:
$0.092460
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 glazed the green neon raven above the bar, stretching its reflection across the Soho pavement like a bird crushed under glass. Detective Harlow Quinn watched from the opposite kerb, collar raised, hands bare despite the cold. Water gathered on her closely cropped hair and tracked along her sharp jaw. The worn leather strap of her watch had turned almost black. Eleven forty-seven. The Raven’s Nest had disgorged office drinkers, two drag queens sharing a clear plastic umbrella, a courier with blood on one trainer, and a pair of men whose faces Quinn knew from organised-crime briefings. None had interested her. Then Tomás Herrera stepped out. He wore a waxed jacket over dark hospital scrubs. Short curls clung to his forehead. A canvas medical bag hung across his chest, swollen enough to pull the strap into his shoulder. He paused under the green light and scanned Wardour Street. Quinn shifted behind the bus shelter. Herrera touched the silver medallion at his throat. Saint Christopher. Patron saint of travellers, paramedics and men who had lied through three separate interviews. He headed north. Quinn let him reach the corner before she crossed. A taxi shouldered through a puddle and flung gutter water over her trousers. The driver leaned on his horn. “Met Police.” She slapped the bonnet without breaking stride. Herrera didn’t look back, but his pace changed. His shoulders pitched forward. The medical bag bounced against his hip. Quinn followed him into Brewer Street, where restaurant awnings sagged beneath the rain and kitchen staff smoked in service doorways. Herrera slipped past a delivery van, cut between two wheelie bins and vanished into an alley. Quinn drew her warrant card as she entered. “Tomás Herrera.” His shoes struck wet brick ahead. “Stop. Police.” A metal gate crashed open. Quinn sprinted towards the sound. She cleared the gate and found herself in a narrow service lane behind the theatres, boxed in by fire escapes and grease-slick walls. Herrera ran beneath a row of yellow lamps, one hand clamped over his bag. “Tomás, you’re making this worse.” He glanced back. Warm brown eyes, wide but fixed. Rain ran through the scar along his left forearm where his sleeve had ridden up. “You don’t know what worse is.” “Then stop and educate me.” He snatched a stack of empty beer crates from beside a door and dragged them into her path. Quinn hit the first with her thigh. Plastic buckled. She planted a palm on the wall, vaulted the rest and landed in a puddle deep enough to flood one shoe. Herrera had gained ten metres. He reached the far end of the lane and swung onto Shaftesbury Avenue. A night bus growled between them, windows bright with pale faces. Quinn saw him through the lower deck: a flicker of dark curls, canvas bag, silver at his throat. The bus passed. Herrera was gone. Quinn halted on the central island. Traffic hissed on both sides. She turned once, mapping exits, alleys, doorways. A hooded cyclist skimmed past and swore at her. A black cab stood at the lights. Its rear door remained open while a woman argued with the driver over the fare. Beyond it, Herrera yanked open the passenger door of a silver hatchback. Quinn ran. “Herrera!” He looked over the roof. For half a second, neither moved. Quinn raised her warrant card. “Step away from the car.” “Go home, Detective.” “Hands where I can see them.” “You followed me from the Nest. That was your mistake.” Herrera shoved the bag through the open door. Quinn reached the hatchback as he dropped into the seat. She caught his wrist. His skin felt cold. Not rain-cold. Meat-locker cold. Herrera twisted, using the door as a wedge. Pain fired through Quinn’s knuckles. He tore free, leaving a thin plastic tube in her grip. Dark fluid filled it. Not blood. Something thicker, with silver grains suspended inside. Herrera slammed the door. The hatchback shot from the kerb. Quinn struck the rear quarter with her palm, read the number plate and stumbled back as a van missed her by the width of her sleeve. The black-cab driver craned through his window. “Christ, love, you suicidal?” Quinn opened his rear door and climbed in. “Police. Follow that hatchback.” The passenger clutched her shopping bag to her chest. “I’m in this cab.” Quinn pointed to the pavement. “Now you’re not.” The woman stared at her soaked coat, her warrant card and the tube pinched between her fingers. “This city’s diseased.” She climbed out. The driver watched Herrera’s taillights vanish towards Charing Cross Road. “You scratch my cab, I invoice the Met.” “Drive.” He launched into traffic. Quinn pulled the door shut and kept her eyes on the silver hatchback. It darted through amber lights, cut around a delivery lorry and headed north. The cab followed, engine rattling as the driver bullied his way past buses. “What’s he done?” “Ran.” “That all?” “It’s enough.” The driver glanced at her through the mirror. “Not for me, it isn’t.” Quinn held up the plastic tube. Under the cab’s ceiling light, the silver particles moved against the slant of the car. They climbed through the dark fluid and gathered at the stopper. She lowered it. The driver’s gaze snapped back to the road. “Didn’t see that.” “You saw a specimen tube.” “I saw nothing.” “Good.” Herrera crossed into Camden with two cars between them. Rain hammered the windscreen, and the wipers smeared streetlamps into molten bands. The hatchback turned off the main road near a shuttered music shop. “There.” The driver braked at the junction. Quinn pushed a twenty through the partition. “That doesn’t cover Soho to Camden.” “Invoice the Met.” She stepped into the rain. The hatchback sat abandoned beside a row of lock-ups, driver’s door open, engine running. Herrera’s medical bag had gone. Quinn approached from the rear, one hand beneath her coat on the grip of her baton. The passenger compartment lay empty. A strip of gauze trailed from the footwell and fluttered in the draught. She touched the bonnet. Warm. A chain-link gate rattled across the road. Herrera slipped through before it closed. Quinn ran after him. The gate belonged to a fenced construction site wrapped in stained white sheeting. A council notice promised luxury flats above a forgotten section of the Underground. Someone had sliced the padlock and looped the chain back through its housing. Quinn squeezed inside. “Herrera.” The site swallowed her voice. Rain drummed on corrugated roofing. Excavators crouched among concrete barriers, their windows black. At the rear of the lot, a temporary plywood wall concealed the mouth of an old station entrance. A red-and-blue Underground roundel hung above it, stripped of its name. Herrera reached the steps. Quinn closed the distance. He turned at the top, chest pumping, the canvas bag pressed against him. “Stop following me.” “Put the bag down.” “I can’t.” “That answer won’t improve with repetition.” “You saw the tube.” “I saw an unlicensed medical product in the possession of a man struck off for administering unauthorised treatments.” “You read my file. Well done.” “I read the part about the knife attack too.” Herrera’s fingers tightened around the strap. The scar on his forearm shone white beneath the rain. “Then you know people get hurt when they stand in doorways.” Quinn extended her baton with a snap. “Come away from the stairs.” A tremor passed through the station wall. Not the grind of a train. It sounded softer, like thousands of fingernails drawn across stone. Herrera looked down the steps. Quinn took another pace. “What’s under there?” “Nothing you can arrest.” “Test me.” “You walk down those stairs with a badge, someone will hang it from a butcher’s hook.” “You worried about me?” “I’m worried about what you’ll make them do.” He reached inside his shirt and pulled out the Saint Christopher medallion. A small object hung behind it on the same cord: a yellowed disc, rough at the edges, with a hole bored through its centre. Bone. Quinn’s baton dipped by an inch. “Take that off.” “No.” “Hands away from your neck.” “It’s the only reason the door will open.” The sound beneath them stopped. A green glow seeped between the boards covering the old entrance. Herrera pressed the bone disc against a rusted plate beside the stairs. The plywood wall shuddered. A seam appeared where no seam had been, and a narrow doorway folded inwards. Warm air rolled out, thick with incense, scorched sugar and the copper stink of a slaughterhouse. Beyond the threshold, tiled steps descended beneath strings of red bulbs. Figures moved at the bottom. Some wore coats and hats. One had antlers bound in gold wire. Another turned its head too far, exposing a face hidden behind a lace veil and a second mouth at the base of its throat. Quinn’s grip closed around the baton. Herrera caught her expression. “This is where you leave.” “Where does it go?” “The Market.” “What market?” “You don’t have the language for half of what they sell.” A bell rang below. Voices surged through the stairwell. “Fresh memories. Six months clean, no grief rot.” “Saints’ teeth. Verified saints, no martyrs.” “Night milk. Keep it covered.” Herrera backed through the doorway. Quinn stepped forward. He thrust out one hand. “Don’t.” “Drop the bag and come back.” “There’s a patient waiting.” “You lost your licence.” “My patient doesn’t care.” “Who is it?” “You’ll turn them into evidence.” “If they need medical help, I can get an ambulance here.” Herrera gave a short, raw laugh. “An ambulance came for the last one. Three crew went inside. One came out speaking Latin through a split tongue.” Quinn watched the crowd below. A vendor in a butcher’s apron lifted a jar filled with blue flame. Beside him, a child-sized shape knocked from inside a wooden crate. No one looked towards the sound. Water trickled from Quinn’s coat and tapped against the top step. Herrera’s gaze fell to her left wrist. “That watch belonged to Morris.” Her baton rose. “Don’t use his name.” “I treated him.” The market noise receded beneath the beat in her ears. “You never met DS Morris.” “He had a hole below his ribs. No blood around it. The thing inside him drank it before it reached the wound.” Quinn moved so fast Herrera struck the tiled wall. Her forearm pinned his throat; the baton pressed beneath his jaw. “Where did you see him?” Herrera struggled for one breath, then another. “Let me go, and I’ll tell you.” “You’ll tell me now.” “The Nest. Back room. Three years ago.” “Morris died in a warehouse fire in Lambeth.” “No. He died on Silas’ table.” Quinn drove the baton harder into his skin. “You’re lying.” “Your watch stopped at two seventeen.” Rainwater ran from her sleeve over the cracked leather strap. The watch had stopped at 2:17 on the morning they recovered Morris’s body. No heat damage. No water in the mechanism. The repairman had found every cog fused into a single piece. Herrera’s voice rasped against her arm. “He asked me to give it back to you.” Quinn released him. He sagged against the tiles, coughing, one palm over his throat. “Who killed him?” “I don’t know.” “Wrong answer.” “I kept pressure on a wound that had teeth. He lasted four minutes.” Below them, the bell rang twice. A woman’s voice carried up the stairs. “Gate closes.” Herrera snatched the bone token from the plate. The doorway began to narrow, boards folding across the opening like interlocked fingers. He slipped through. Quinn stood in the rain with the tube of silver-laced fluid in one pocket, her baton in hand and Morris’s dead watch clamped around her wrist. The gap shrank to the width of her shoulders. Herrera looked back from the red-lit steps. “Choose.” Quinn crossed the threshold.
created_at"2026-07-09T17:52:49.146Z" 7/9/2026, 5:52:49 PM
model"openai/gpt-5.6-sol-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6897
moderation_latency(null)
generation_time61047
tokens_prompt1140
tokens_completion3428
native_tokens_prompt984
native_tokens_completion2918
native_tokens_completion_images0
native_tokens_reasoning302
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"
usage0.09246
router(null)
provider_responses
0
endpoint_id"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id"resp_0c316b38c962a623016a4fdff167ec8194a56b291e7a9691f0"
is_byokfalse
latency394
model_permaslug"openai/gpt-5.6-sol-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619569-UPWhWIfWdSLsj1osZwlB"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619569-pw5loQE2kl8nUpJKzXNs"
upstream_id"resp_0c316b38c962a623016a4fdff167ec8194a56b291e7a9691f0"
total_cost0.09246
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1974
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)
89.87% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1974
totalAiIsms4
found
0
word"scanned"
count1
1
word"flicker"
count1
2
word"fluttered"
count1
3
word"pumping"
count1
highlights
0"scanned"
1"flicker"
2"fluttered"
3"pumping"
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
filterCount2
hedgeCount1
narrationSentences176
filterMatches
0"watch"
1"notice"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences264
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1974
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
31.89% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions94
wordCount1524
uniqueNames22
maxNameDensity2.36
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn36
Raven1
Nest1
Tomás1
Herrera28
Wardour1
Street2
Christopher2
Brewer1
Shaftesbury1
Avenue1
Charing1
Cross1
Road1
Camden1
Underground2
Saint2
Morris2
Rain4
Warm3
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Tomás"
5"Herrera"
6"Christopher"
7"Saint"
8"Morris"
9"Rain"
places
0"Soho"
1"Wardour"
2"Street"
3"Brewer"
4"Shaftesbury"
5"Avenue"
6"Charing"
7"Cross"
8"Road"
9"Camden"
globalScore0.319
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences116
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1974
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences264
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs197
mean10.02
std10.67
cv1.065
sampleLengths
022
139
22
338
45
542
66
724
83
922
106
112
127
1319
1436
158
162
176
182
195
2042
215
2224
236
245
2518
2630
275
2842
293
303
3127
3222
3312
342
351
3611
375
385
393
406
4110
4218
434
448
4524
4613
474
4832
497
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences176
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs257
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences264
ratio0.004
matches
0"Her forearm pinned his throat; the baton pressed beneath his jaw."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1537
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.011711125569290826
lyAdverbCount1
lyAdverbRatio0.0006506180871828237
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences264
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences264
mean7.48
std5.3
cv0.709
sampleLengths
022
115
213
311
42
534
64
75
89
96
1017
1110
126
138
142
1514
163
179
1813
196
202
217
228
234
247
2520
2616
278
282
296
302
315
325
3323
3414
355
363
376
3815
396
405
4118
427
432
4421
455
4613
4711
4818
493
52.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.32196969696969696
totalSentences264
uniqueOpeners85
19.96% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences167
matches
0"Then Tomás Herrera stepped out."
ratio0.006
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences167
matches
0"He wore a waxed jacket"
1"He paused under the green"
2"He headed north."
3"She slapped the bonnet without"
4"His shoulders pitched forward."
5"His shoes struck wet brick"
6"She cleared the gate and"
7"He glanced back."
8"He snatched a stack of"
9"She planted a palm on"
10"He reached the far end"
11"She turned once, mapping exits,"
12"Its rear door remained open"
13"He looked over the roof."
14"She caught his wrist."
15"His skin felt cold."
16"He tore free, leaving a"
17"She climbed out."
18"He launched into traffic."
19"It darted through amber lights,"
ratio0.192
13.89% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount149
totalSentences167
matches
0"Rain glazed the green neon"
1"Detective Harlow Quinn watched from"
2"Water gathered on her closely"
3"The worn leather strap of"
4"The Raven’s Nest had disgorged"
5"None had interested her."
6"He wore a waxed jacket"
7"A canvas medical bag hung"
8"He paused under the green"
9"Quinn shifted behind the bus"
10"Herrera touched the silver medallion"
11"Patron saint of travellers, paramedics"
12"He headed north."
13"Quinn let him reach the"
14"A taxi shouldered through a"
15"The driver leaned on his"
16"She slapped the bonnet without"
17"Herrera didn’t look back, but"
18"His shoulders pitched forward."
19"The medical bag bounced against"
ratio0.892
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences167
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences63
technicalSentenceCount1
matches
0"Patron saint of travellers, paramedics and men who had lied through three separate interviews."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
86.9379%