Run: 2026-09-23-01M37J0V2FDZQ8TQQTMH9WFPHJ

Run Details

Duration:
43.1s
Cost:
$0.024128
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
Detective Harlow Quinn shoved through the door of the Raven’s Nest with her warrant card in one hand and her coat dripping onto the floor. Green light from the neon sign stained the rain on the windows. Beyond the bar, old maps curled at their corners beside photographs of streets that no longer existed. Tomás Herrera stood behind the counter with a glass of water he hadn’t touched. A dark stain spread across the cuff of his jacket. When he saw Quinn, he put the glass down. “Show me your left arm.” “You came all this way to check my health?” Quinn crossed the room. Three customers stopped talking. The barman kept wiping a clean patch of counter. Herrera backed towards the shelves at the rear of the bar, his right hand pressed against his ribs. Beneath his open collar, a silver Saint Christopher medallion caught the light. “Your arm,” Quinn repeated. He pulled his sleeve down over his wrist. “Somebody hurt in here?” she asked the barman. “No trouble tonight.” “That wasn’t my question.” Herrera moved. He snatched a book from a shelf and pulled the whole section towards him. It swung out, exposing a strip of darkness and a set of stairs. Quinn lunged across the room. Her fingers brushed his wet jacket before the shelf slammed between them. She drove her shoulder into it, stumbled through, and caught sight of him at the foot of the stairs. “Herrera! Stop.” He glanced up. His warm brown eyes fixed on her for one beat, then he shoved through a steel door. Quinn took the stairs two at a time. The door opened onto an alley where rain hammered overflowing bins. Herrera ran beneath a fire escape, splashed through a puddle and reached the street before she cleared the threshold. A bus cut between them. Quinn caught her reflection in its windows: close-cropped salt-and-pepper hair flattened by rain, jaw set, warrant card still clenched in her fist. She put it away and ran round the back of the bus. Herrera headed north. He kept one hand on his ribs, but he moved fast, weaving past people sheltering under shop awnings. Quinn followed through traffic, earning a horn blast from a taxi. Her shoes slapped the pavement; each stride sent cold water up the backs of her legs. “Police! Move.” A man with a takeaway bag flattened himself against a shutter. Herrera vaulted a low chain outside a closed café. Quinn went through it, breaking a rusted link, and gained three paces. “You’re bleeding,” she called. “I can see it.” “Then you know I’m not stopping to chat.” He turned into a narrow lane. At its far end, a motorcycle blocked the way. Herrera squeezed past the handlebars. Quinn caught the mirror with her hip, heard it crack, and came out behind him just as he reached a broader road. The rain thinned for a moment beneath the railway bridge. Herrera pressed his palm against the brick and bent over, dragging air into his lungs. Quinn slowed. Eight yards between them. “Hands where I can see them.” Herrera lifted one hand. Blood shone on his fingers. “Both.” “I’ve got pressure on the wound.” “Take your hand off it.” “You want me on the pavement, cuff me after I fall.” Quinn advanced, her weight balanced on the balls of her feet. Herrera watched her boots. She saw the decision reach his face and moved before he did, but a cyclist shot between them. Quinn grabbed the handlebars to keep from taking the rider down. Herrera crossed the road and disappeared behind a delivery van. “Watch where you’re going!” the cyclist shouted. Quinn let go. “Get out of the road.” The van lurched away. She spotted Herrera half a block ahead, turning east. Her worn leather watch read 23:47. She took out her phone and hit the call button on the last number in her list. “Quinn?” A tired voice cut through traffic noise. “What happened?” “Herrera’s running. Headed towards Camden.” “Send me your location.” “He came out of the back room at the Raven’s Nest with a stab wound. I want units north of Euston Road.” “Harlow, wait for them.” She ended the call and ran. Herrera reached a junction as the lights changed. He slipped between two cars. Quinn followed and caught the side of a bonnet with her palm when a driver surged forward. “Police.” The driver’s mouth worked behind the glass. Quinn cleared the road before he found his horn. Camden’s shopfronts crowded closer beneath a tangle of signs and metal shutters. Water streamed from the awnings. Herrera kept to the darker side of the street, past a tattoo studio and a locked phone shop, then turned down a service road lined with fenced building sites. Quinn knew the street. The last time she had walked it, DS Morris had carried a paper cup of tea and argued that a witness couldn’t have vanished between two CCTV cameras. Three years ago. She remembered the cold tea in her own hand when they found his coat under a railway arch. Nothing inside the coat except rainwater. Herrera reached the end of the service road and stopped at a gate set into a plywood hoarding. A yellow sign warned of unstable ground. He pulled something small and pale from his pocket. Quinn ducked behind a skip. Her radio crackled against her chest. “Quinn, respond. Units are two minutes out.” She silenced it. Across the road, Herrera held the object against a metal box beside the gate. A dull click carried over the rain. He pushed through. Quinn reached the gate before it shut. She caught its edge, slipped inside and let it close without a sound. Concrete stairs descended beyond the hoarding. A fluorescent tube buzzed above the first landing. Herrera’s footsteps rang below, then faded. Quinn drew her torch. “Herrera.” No answer. A smell rose from the stairwell: wet stone, hot oil, cloves. She started down. At the first landing, a strip of blue paint marked the wall. At the second, the paint gave way to old tiles. Her phone lost its signal. She lifted it towards the stairwell ceiling, watched the last bar disappear, and put it away. The stairs opened onto an abandoned Tube platform. Trackside darkness lay beyond a yellow line worn almost to the concrete. Stalls crowded the platform under strings of mismatched lights. A woman in a butcher’s apron arranged black glass bottles beside trays of white roots. Two men argued over a sealed tin that knocked from the inside. Above them, an old station clock showed 6:12, though its second hand jerked back each time it reached the twelve. Quinn stepped off the stairs and stopped. People had filled the platform, but none wore the dazed look of late passengers. A bare-chested man held a caged lamp full of moths against his chest. A girl with silver wire sewn through her coat counted coins into an old woman’s palm. Behind one stall, a chalkboard listed prices in pounds, euros and marks Quinn didn’t recognise. Herrera moved along the platform ahead of her. A vendor grabbed his jacket. He shook the hand off and kept going. The movement opened his coat; blood had soaked through the shirt beneath. Quinn stayed beside a tiled column. A sign above the crowd read THE VEIL MARKET in letters cut from tarnished brass. Under it hung a smaller board: ENTRY BY BONE TOKEN ONLY. She pictured the pale object in Herrera’s hand. A figure blocked her view. He wore a railway guard’s cap with no badge and held out his hand. “Token.” “I’m following that man.” Quinn pointed past him. “Tomás Herrera. He needs medical attention.” “Token.” She showed her warrant card. The guard studied her photograph, then the brown eyes beneath her wet hair. “Put that away.” “He’s injured. I need to get to him.” “Go back up the stairs.” Herrera disappeared behind a curtain of red beads at the far end of the platform. Quinn shifted to pass. The guard planted his boot in her path. Around them, conversations dropped a notch. She could hear water dripping somewhere under the tracks. “Move,” she told him. “You came through the gate on his token. That got you this far.” “I don’t have time for your rules.” The guard’s gaze moved to the radio on her coat. “Then you came to the wrong place.” Quinn looked over her shoulder. The stairwell was empty. Her colleagues would arrive at the hoarding, find a locked gate and call her phone until it went to voicemail. She could go back, force the gate for them and lose Herrera. Or she could cross a platform where nobody cared what her warrant card meant. At the far end, the red beads stirred. Herrera had come back into view. He braced one hand against the wall while a woman in a grey coat spoke close to his face. Quinn caught a fragment above the hum of the market. “...not until I see what you brought.” Herrera reached inside his jacket. The woman seized his wrist. Quinn pushed past the guard. His hand closed around her shoulder; she turned into it and drove her elbow against his forearm. His grip broke. She moved into the crowd. “Police,” she called. “Herrera, step away from her.” The woman in grey looked straight at Quinn. She released Herrera’s wrist and slipped through the beads. Herrera followed, leaving a red print on the wall. A table overturned in Quinn’s path. Bottles struck the tiles and burst, filling the air with a sharp medicinal smell. The vendor shouted for payment. Quinn stepped over the broken glass and caught the beads before they fell still. Beyond them, a passage ran beside the old track tunnel. Bare bulbs lit puddles between the rails. Herrera stood twenty feet away, one hand against the wall. He turned at the sound of the beads and saw her. “Go back, Quinn.” She took a step into the passage. “Take your hand out of your jacket.” Herrera pulled it free. Blood ran down the scar along his left forearm, over his fingers, and onto the concrete. “The woman,” Quinn asked. “Where did she go?” He looked past her towards the market. “You shouldn’t have come down here.” “You can make your complaint after I’ve looked at that wound.” Herrera swallowed and pressed his other hand beneath his ribs. Quinn closed the distance by another step, her eyes on his hands. Behind her, the beads clicked against one another, and a voice from the platform demanded its bottles back.
created_at"2026-09-23T16:36:43.734Z" 9/23/2026, 4:36:43 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2628
moderation_latency(null)
generation_time43065
tokens_prompt1104
tokens_completion2669
native_tokens_prompt984
native_tokens_completion2216
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"
usage0.024128
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181403-jHBmShKJMSz5vW6KKQ7n"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181403-kyr8ipM4jdcFKC6N1QVx"
upstream_id"resp_049c293c13f6d710016ab4001bdb6487d19510c9438466e25c"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_049c293c13f6d710016ab4001bdb6487d19510c9438466e25c"
is_byokfalse
latency598
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.024128
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences47
tagDensity0.17
leniency0.34
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1770
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)
91.53% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1770
totalAiIsms3
found
0
word"weight"
count1
1
word"lurched"
count1
2
word"footsteps"
count1
highlights
0"weight"
1"lurched"
2"footsteps"
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
narrationSentences160
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences160
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences198
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
totalWords1770
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
42.72% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions68
wordCount1538
uniqueNames9
maxNameDensity2.15
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Herrera"
discoveredNames
Harlow1
Quinn33
Raven1
Nest1
Herrera28
Saint1
Christopher1
Morris1
Tube1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"Tube"
places(empty)
globalScore0.427
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences113
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1770
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences198
matches
0"argued that a"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs89
mean19.89
std17.29
cv0.87
sampleLengths
054
133
25
39
417
530
64
78
88
93
104
1129
1236
132
1420
1538
1639
1748
182
1932
208
218
2242
2331
246
259
261
276
285
2911
3054
317
328
3336
3410
355
364
3722
384
396
4030
411
4216
4346
4459
4534
4611
477
4827
4920
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences160
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs261
matches(empty)
99.57% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount3
flaggedSentences3
totalSentences198
ratio0.015
matches
0"Her shoes slapped the pavement; each stride sent cold water up the backs of her legs."
1"The movement opened his coat; blood had soaked through the shirt beneath."
2"His hand closed around her shoulder; she turned into it and drove her elbow against his forearm."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1542
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.011673151750972763
lyAdverbCount1
lyAdverbRatio0.0006485084306095979
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences198
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences198
mean8.94
std5.41
cv0.606
sampleLengths
025
112
217
314
410
59
65
79
84
94
109
1118
1212
134
148
158
163
174
182
1914
2013
215
2212
2319
242
253
2617
278
2811
2919
305
3122
3212
333
3418
3511
3616
372
3811
399
4012
414
424
438
446
459
465
4722
4810
4915
47.98% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.29292929292929293
totalSentences198
uniqueOpeners58
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences153
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount43
totalSentences153
matches
0"He pulled his sleeve down"
1"she asked the barman"
2"He snatched a book from"
3"It swung out, exposing a"
4"Her fingers brushed his wet"
5"She drove her shoulder into"
6"He glanced up."
7"His warm brown eyes fixed"
8"She put it away and"
9"He kept one hand on"
10"Her shoes slapped the pavement;"
11"He turned into a narrow"
12"She saw the decision reach"
13"She spotted Herrera half a"
14"Her worn leather watch read"
15"She took out her phone"
16"She ended the call and"
17"He slipped between two cars."
18"She remembered the cold tea"
19"He pulled something small and"
ratio0.281
31.90% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount131
totalSentences153
matches
0"Detective Harlow Quinn shoved through"
1"Tomás Herrera stood behind the"
2"A dark stain spread across"
3"Quinn crossed the room."
4"The barman kept wiping a"
5"Herrera backed towards the shelves"
6"He pulled his sleeve down"
7"she asked the barman"
8"He snatched a book from"
9"It swung out, exposing a"
10"Quinn lunged across the room."
11"Her fingers brushed his wet"
12"She drove her shoulder into"
13"He glanced up."
14"His warm brown eyes fixed"
15"Quinn took the stairs two"
16"The door opened onto an"
17"Herrera ran beneath a fire"
18"A bus cut between them."
19"Quinn caught her reflection in"
ratio0.856
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences153
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences71
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount2
fancyTags
0"Quinn repeated (repeat)"
1"the cyclist shouted (shout)"
dialogueSentences47
tagDensity0.149
leniency0.298
rawRatio0.286
effectiveRatio0.085
87.1229%