Run: 2026-09-23-01M37HAEZ2YE7TEM1V32VPBB9Q

Run Details

Duration:
43.7s
Cost:
$0.024858
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
Rainwater streamed from the green neon sign above The Raven’s Nest and broke across Detective Harlow Quinn’s shoulder. She stood beside a wall of old photographs, watching the man at the bar turn a bone token between his fingers. He had asked the barman for a telephone. He hadn’t touched the one placed in front of him. Quinn checked her worn leather watch. Eleven forty-eight. Outside, a bus hissed through the Soho traffic. Inside, the man closed his fist around the token and looked towards the front door. He wore a grey coat darkened at the cuffs and had a split across one knuckle. Quinn had seen both in the photographs from a Camden break-in that afternoon. She stepped away from the wall. “Met Police. Keep your hands where I can see them.” The man drove his elbow into a stool. It struck Quinn’s knee, hard enough to check her stride, and he ran for the door. She followed him through it into the rain. A cyclist swerved across her path, tyres cutting a silver line over the road. Quinn caught the bicycle by its handlebars and pushed it clear. “Police. Sorry.” The suspect crossed against the lights. A taxi sounded its horn and braked inches from his legs. He cleared the bonnet with one hand, landed badly, then kept running. Quinn took the crossing behind the taxi, her shoes losing purchase on the painted lines. She could have called for a car. By the time one fought through Friday-night Soho, the man would have vanished into a station, a cab or one of the service passages threaded behind the shops. She pulled her radio from her coat instead. “Control, Quinn. Foot pursuit north from the Raven’s Nest. Male, grey coat, heading towards Charing Cross Road.” Static tore across the reply. She caught “repeat location” before a delivery van passed between her and the suspect. Quinn gave the street name again and ran. The man shoved through a crowd outside a theatre. One woman cried out as he struck her shoulder; another dropped a paper bag that burst at Quinn’s feet. Hot chips scattered over wet pavement. Quinn jumped them and saw his coat disappear around the corner of a narrow street. “Stop!” He looked back. Under the streetlamp, she saw blood running from his nose to his upper lip. He wiped it with his sleeve, held her gaze for a moment, then turned away. That glance cost him. His foot slid on a drain cover. He caught the brickwork, and Quinn gained several yards. She reached for the back of his coat at the next corner. Cloth brushed her fingertips. He twisted free and ducked down an alley beside a shuttered restaurant. The alley ended at a locked gate. Quinn slowed. The suspect had reached it first. He braced both hands on the bars, breath rasping through his mouth, and stared past her towards the street. “Turn around,” she told him. “Hands up.” “You followed me from Soho?” “Turn around.” “You don’t know where this goes.” His right hand dropped to his coat pocket. Quinn drew her baton. “Leave it.” He pulled out the bone token. It was no bigger than a pound coin, drilled through the centre and stained brown around its rim. For one second Quinn saw the marks carved into it: a row of tiny cuts, too regular to be damage. Then he pushed the token into a narrow gap in the gatepost. A lock clicked. The gate opened towards Quinn. She stepped back to avoid its edge, and the man slipped through. Beyond it, concrete stairs descended beneath a railway arch. Light burned at the bottom, though the station beyond had closed years ago. Quinn jammed her foot against the gate before it swung shut. “Control, I’ve entered an access alley off—” Her radio shrieked. She pulled it from her ear. The suspect was already halfway down the steps, one hand dragging along the tiled wall. Quinn stared at the open gate, then at the street behind her. Rain struck the bins and flooded the gutter. A couple passed the mouth of the alley without looking in. She had an arrest to make. She also had an unmarked entrance beneath Camden, a lock opened with bone, and no usable radio. Quinn put the radio away and started down. The air changed beneath the arch. It tasted of iron and old water. Several steps bore white deposits where leaks had dried; the rest shone wet. She kept her hand off the rail, which hung loose from its brackets. At the bottom, a corridor stretched beneath a row of dead signs. One promised trains towards Edgware; another had lost every letter but the final N. Lamps hung from cables along the ceiling. They gave off a warm, uneven light and made the puddles look black. The suspect ran through a doorway at the far end. Quinn followed at a controlled pace, counting the exits she passed. A boarded ticket office. A maintenance closet without a door. Two corridors sealed with brick. A man stepped out of the ticket office carrying a crate. He wore a butcher’s apron over a suit, and something in the crate scratched against its wooden sides. Quinn stopped. “Police. Which way?” The man looked past her shoulder. “Show your token.” “I’m following a suspect.” “No token, no entry.” Quinn showed him her warrant card. He lowered the crate to the floor. The scratching inside it ceased. “Take the stairs back up,” he told her. The suspect’s shoes struck a metal threshold ahead. Quinn moved past the man before he could block her. He caught her sleeve. “Lady. They’ll put you out.” “Let go.” He released her. She rounded the doorway and stopped at the edge of an old station platform. A market filled the tracks. Canvas stalls stood between the rails, their awnings tied to signal posts and iron columns. Wires ran from the ceiling to cages of pale insects that lit the space in slow pulses. People crossed planks laid over the track beds, carrying parcels wrapped in oilcloth, bundles of herbs, metal cases with padlocks. A woman held up a bottle no bigger than her thumb while a customer inspected the dark liquid inside. Beside her, a boy with silver paint across his eyelids counted teeth into paper envelopes. Quinn found the grey coat near the opposite platform. The suspect stumbled between two stalls and vanished behind a hanging sheet of red fabric. She stepped onto the first plank. It flexed beneath her weight. “Move.” A vendor hauling a sack glanced at her baton and stepped aside. Quinn passed a table of watches with no hands, a display of rusted keys and a tray of surgical needles sealed in glass. Her pulse thudded in the base of her throat. The crowd closed each gap as she pushed through. At the red sheet, she caught movement behind it. She pulled the fabric aside. The suspect stood in a narrow space between stalls, facing a man with short curly hair and an olive complexion. The second man gripped his wrist and pressed a wad of gauze to his palm. A Saint Christopher medallion hung outside his shirt. An old scar ran the length of his left forearm, from wrist towards elbow. “You brought her down here?” he demanded. “She saw the gate.” “You could have kept running.” “I did.” Quinn took one step forward. “Hands away from him.” The man with the medallion looked up. “He’s bleeding.” “I can see that.” “He’s losing more than he ought to.” “Tomás,” the suspect snapped, “don’t.” Quinn recognised the name. Tomás Herrera had lost his paramedic licence two years earlier. She had read his file that morning because his name sat beside the suspect’s on a list of calls made from a stolen phone. “Herrera. Step aside.” Tomás held the gauze in place. Blood spread across it, bright enough to show in the dim space. “You can take him when I finish.” “Now.” “He’ll collapse before you get him upstairs.” The suspect shook his head. “She doesn’t know what I took.” Quinn tightened her grip on the baton. “Then one of you can tell me.” Beyond the sheet, someone shouted about a price. Coins rang against metal. Tomás bent the suspect’s fingers open. Quinn saw a cut across his palm, deeper than the split on his knuckle, and a thin black line under the skin leading towards his wrist. Tomás saw her looking. His jaw set. “What did you take?” Quinn asked. The suspect drew breath to answer. A bell rang across the platform, one low strike followed by three quick ones. The market changed shape around them. Vendors pulled cloth over their tables. A woman lifted her child onto her hip and walked towards the stairs. Two men closed a steel case between them. Tomás took his hand from the gauze. “Your badge has drawn attention.” “I haven’t shown it down here.” “The man at the door saw it.” Quinn glanced through the red sheet. Across the tracks, the man in the butcher’s apron stood beside a broad woman in a dark coat. He pointed towards their stall. The woman’s eyes met Quinn’s. The suspect shoved Tomás aside and bolted through a gap in the canvas. Quinn lunged after him. Her shoulder caught a rack of hanging bottles. Glass knocked against glass, but nothing broke. She came out beside an old map mounted on the platform wall and saw the grey coat cutting through the crowd towards a service tunnel. He had pressed his injured hand against his chest. “Herrera, stay here.” Tomás came through the gap behind her. “He needs that wound closed.” “He needs to stop running.” Quinn started after the suspect. The broad woman crossed onto the planks ahead, taking a direct route to the tunnel. Behind Quinn, the butcher’s-apron man moved to the foot of the stairs. The market still offered other exits, but she could see none from where she stood. Her radio gave a burst of static against her hip. She pulled it free and pressed the transmit button. “Control, Quinn. I’m beneath Camden, in a disused station. I have eyes on the suspect.” A voice pushed through the interference. “Quinn, confirm—” The rest vanished under a long electric whine. She released the button. The broad woman had reached the tunnel entrance; the suspect was almost there. Tomás held out a roll of clean bandage. “Take this. You’ll need it when you catch him.” Quinn looked at the bandage, then at the narrow tunnel. She took it and tucked it into her coat. The broad woman turned as Quinn stepped from the platform onto the plank. Quinn raised her warrant card where the woman could see it. “Met Police. Clear the entrance.” The woman looked at the card without moving. Rainwater dripped from Quinn’s coat onto the boards. Behind the woman, the suspect struck the tunnel wall with his shoulder, caught himself, and disappeared round the bend. Quinn closed the distance to the entrance.
created_at"2026-09-23T16:24:30.635Z" 9/23/2026, 4:24:30 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2221
moderation_latency(null)
generation_time43427
tokens_prompt1104
tokens_completion2770
native_tokens_prompt984
native_tokens_completion2289
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"
usage0.024858
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790180670-k3KQkYFMe4pFWBYsMREn"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790180670-fDeGvCk9qy7HB1MwygcB"
upstream_id"resp_007f06f61c8d3a51016ab3fd3effdc87d1b84be525ebadeac6"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_007f06f61c8d3a51016ab3fd3effdc87d1b84be525ebadeac6"
is_byokfalse
latency1040
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.024858
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences46
tagDensity0.109
leniency0.217
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1845
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)
91.87% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1845
totalAiIsms3
found
0
word"weight"
count1
1
word"pulse"
count1
2
word"electric"
count1
highlights
0"weight"
1"pulse"
2"electric"
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
narrationSentences166
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences166
filterMatches
0"watch"
1"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences206
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1845
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
33.29% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions59
wordCount1628
uniqueNames13
maxNameDensity2.33
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Detective1
Harlow1
Quinn38
Soho2
Camden2
Friday-night1
Edgware1
Saint1
Christopher1
Herrera1
Tomás8
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Saint"
4"Christopher"
5"Herrera"
6"Tomás"
places
0"Detective"
1"Soho"
2"Friday-night"
3"Edgware"
globalScore0.333
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences131
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1845
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences206
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs93
mean19.84
std18.36
cv0.925
sampleLengths
039
118
260
36
410
532
625
72
844
943
1017
1119
128
1349
141
1532
1648
177
1827
197
205
212
226
238
246
2556
263
2739
2811
297
3055
3131
3239
3346
3436
3531
363
379
384
394
4018
418
4222
435
442
4517
465
4786
4824
4911
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences166
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs268
matches(empty)
87.38% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount4
flaggedSentences4
totalSentences206
ratio0.019
matches
0"One woman cried out as he struck her shoulder; another dropped a paper bag that burst at Quinn’s feet."
1"Several steps bore white deposits where leaks had dried; the rest shone wet."
2"One promised trains towards Edgware; another had lost every letter but the final N."
3"The broad woman had reached the tunnel entrance; the suspect was almost there."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1631
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.014714898835070508
lyAdverbCount3
lyAdverbRatio0.0018393623543838135
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences206
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences206
mean8.96
std5.31
cv0.592
sampleLengths
018
121
28
310
46
52
68
715
816
913
106
1110
128
1316
148
1514
1611
172
186
1911
2012
2115
227
2328
248
2517
265
2714
288
299
3019
316
3215
331
343
3514
3615
374
387
399
4012
414
4212
437
442
456
4619
475
482
495
47.09% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.2912621359223301
totalSentences206
uniqueOpeners60
20.70% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences161
matches
0"Then he pushed the token"
ratio0.006
95.78% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount50
totalSentences161
matches
0"She stood beside a wall"
1"He had asked the barman"
2"He hadn’t touched the one"
3"He wore a grey coat"
4"She stepped away from the"
5"It struck Quinn’s knee, hard"
6"She followed him through it"
7"He cleared the bonnet with"
8"She could have called for"
9"She pulled her radio from"
10"She caught before a delivery"
11"He looked back."
12"He wiped it with his"
13"His foot slid on a"
14"He caught the brickwork, and"
15"She reached for the back"
16"He twisted free and ducked"
17"He braced both hands on"
18"she told him"
19"His right hand dropped to"
ratio0.311
22.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount141
totalSentences161
matches
0"Rainwater streamed from the green"
1"She stood beside a wall"
2"He had asked the barman"
3"He hadn’t touched the one"
4"Quinn checked her worn leather"
5"He wore a grey coat"
6"Quinn had seen both in"
7"She stepped away from the"
8"The man drove his elbow"
9"It struck Quinn’s knee, hard"
10"She followed him through it"
11"A cyclist swerved across her"
12"Quinn caught the bicycle by"
13"The suspect crossed against the"
14"A taxi sounded its horn"
15"He cleared the bonnet with"
16"Quinn took the crossing behind"
17"She could have called for"
18"She pulled her radio from"
19"Static tore across the reply."
ratio0.876
31.06% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences161
matches
0"By the time one fought"
ratio0.006
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences70
technicalSentenceCount2
matches
0"One woman cried out as he struck her shoulder; another dropped a paper bag that burst at Quinn’s feet."
1"She kept her hand off the rail, which hung loose from its brackets."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"he demanded (demand)"
dialogueSentences46
tagDensity0.087
leniency0.174
rawRatio0.25
effectiveRatio0.043
87.6425%