Run: 2026-09-23-01M37HVYZND85X3MFPFG2ASYAG

Run Details

Duration:
50.5s
Cost:
$0.028968
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
The man in the grey coat hit the pavement outside the Raven’s Nest at a run, one hand pressed to his ribs. Green neon washed over his face as he passed beneath the sign. Detective Harlow Quinn came through the door three strides behind him and nearly lost her footing on the wet stone. “Police. Stop.” He looked back. Rain ran off his dark curls and down the collar of his coat. Tomás Herrera had heard her. He put his shoulder into the crowd waiting at the crossing and kept going. A bus swung between them. Quinn slapped its flank as it passed, close enough to feel heat through the metal, then cut behind it into the road. A taxi sounded its horn. She cleared the bonnet and caught sight of Herrera turning north. Her watch read 11:47. She had seen him inside the Nest at 11:42, carrying a canvas medical bag into the bar’s back room. At 11:46, he had come out without it and found Quinn waiting beside the photographs on the wall. “Where’s the woman you brought in?” she had asked. Herrera had looked at the door, then at her warrant card. Now he ran. Quinn keyed her radio as she followed him into a narrower street. Water poured from a broken gutter onto the back of her neck. “Control, Quinn. Foot pursuit, male suspect, Tomás Herrera. Heading north from Soho. Request a unit to intercept near Camden Road.” The reply dissolved beneath a motorbike’s engine. Herrera vaulted a line of rubbish bags, knocked over a stack of empty crates and disappeared around the next corner. Quinn took the gap between crate and wall. The heel of her shoe clipped a bottle. Glass skittered under a parked van. At the corner, she stopped long enough to listen. Traffic behind her. Rain drumming on shop shutters. Ahead, footsteps splashing through standing water. She turned after them. Herrera had gained half a block. The Saint Christopher medallion at his throat caught a passing car’s headlights. He gripped it once, then ducked through the open gate of a service yard. “Tomás.” He glanced back from beneath an iron stair. “I need five minutes.” “You can have them in an interview room.” “No, I can’t.” He swung the gate shut between them. Quinn drove into it. The latch caught against her shoulder. By the time she lifted it, Herrera had crossed the yard and squeezed through a gap where two panels of corrugated fencing met. She went after him, scraping her coat against the metal. Beyond the fence, a railway arch held a row of locked workshops. Herrera stood under one strip of security light, breathing through his mouth. For the first time since the bar, he had stopped. His hands were empty. Quinn slowed. Rain tapped on the arch overhead and dropped through seams in the brickwork. “Put your hands where I can see them.” He raised them. A pale scar ran the length of his left forearm. “I didn’t hurt her.” “You carried an unconscious woman into an unlicensed back room. That earns you some questions.” “She walked in.” “She was bleeding.” “That’s why I brought her.” “You left without your bag.” His eyes shifted to the dark mouth of the arch behind her. Quinn turned her head just enough to check it. No one there. Herrera lowered one hand. “Keep it up.” “I’ve got something for you.” “On the ground.” He pulled a small object from his coat and held it between finger and thumb. It looked like a coin until he brought it into the light. Bone, cut into an uneven disc, with a hole near one edge. Quinn kept her eyes on his other hand. “What is it?” “A way in.” “Into what?” Herrera backed towards a steel door set into the far wall of the arch. Its surface bore flaking paint and a council warning about trespass. A heavy chain hung beside it, looped through a padlock that had no keyhole. “Ask Silas about the woman,” he told her. “Ask him why he wanted her moved before you arrived.” “I’m asking you.” “Then come with me.” He pressed the bone disc against the padlock. Quinn heard a click. The chain dropped and struck the concrete. She reached for her cuffs. Herrera pulled the door open and slipped through it. Quinn lunged, caught the edge with her left hand and held it before it shut. Cold air pushed up from below. It carried damp brick, hot oil and a sharp scent like cloves. A flight of concrete steps descended into darkness. Quinn drew her torch and angled its beam down. Herrera stood on the first landing, one hand on the rail. “Go back to the Nest,” he called. “She’s still there. Tell Silas you saw me come down here.” “And let you go?” “You wanted to know where I was taking the bag.” He disappeared round the turn. Quinn stayed at the threshold. Rain struck her shoulders through the open door. She thumbed her radio. “Control, suspect entered a disused Tube access beneath a railway arch. I’m at—” Static crackled from the speaker, hard and continuous. She stepped back into the yard and tried again. Clear reception. She gave the road name from the street sign she had passed, the arch number stencilled above the workshop doors, and a description of the entrance. “Do not enter without backup, Detective,” the controller answered. “Units are seven minutes out.” Seven minutes gave Herrera plenty of time to get out by another route. Quinn looked at the open door. From below came a metallic rattle, then several voices talking over one another. She had expected a locked maintenance tunnel, not a crowd. She pulled the door until it stood almost closed and went down three steps. The radio hissed. She climbed one. Reception returned in broken bursts. “Control, I’m checking the entrance. Suspect is descending. I can hear people below.” “Quinn, hold position.” A draught lifted the loose end of her coat. At the foot of the first flight, something scraped against the wall. She aimed her torch. Chalk marks covered the concrete at shoulder height: arrows, numbers and a rough drawing of a hand. A fresh wet print lay across the drawing. Herrera’s, judging by its size. Quinn went down to the landing. The steel door closed above her. Its latch struck home. She turned at once and climbed back. The handle moved, but the door held fast. She braced a foot against the wall and pulled. Nothing. Through it she heard the rain, faint as radio noise. “Fine.” Her voice hit the concrete and came back thin. She checked her phone. No signal. Her radio gave a short burst of static when she pressed the transmit button. Backup knew where she had gone, at least. She descended. The steps curved past a bricked-up ticket window and a peeling poster for a show that had closed decades ago. A low electrical hum grew beneath the sound of voices. On the next landing, a strip of blue light leaked from under another door. Quinn switched off her torch and eased towards it. The door opened onto a station concourse. Canvas awnings filled the space from wall to wall. Lamps hung from pipes overhead, their glass shades stained red and amber. Stalls crowded the tiled floor beneath a defunct route map. One displayed rings on black velvet. Another held jars of cloudy liquid packed in crushed ice. A woman in a fur-trimmed hood examined a row of silver teeth while the seller counted notes into a gloved hand. Quinn stopped in the doorway. A painted sign above the old ticket barriers read VEIL MARKET. Beyond the barriers, steps led to the platforms. Herrera moved through the crowd, grey coat visible between an awning and a rack of hanging coats. He had put his medical bag across his shoulder. Someone at the Nest must have passed it to him through another exit. Quinn pushed through the doorway. A man seated on a stool blocked her path with a cane. His coat hung open over a waistcoat sewn with small bone discs. “Token.” “I’m following someone.” “Token.” She showed him her warrant card. He looked at her face, not the card. “Police?” His voice carried no alarm. A few people nearest the entrance turned. “I need the man in the grey coat. Move.” “Token gets you in. Card gets you out.” He tapped the cane against the floor. On the other side of the barriers, Herrera paused. His gaze found Quinn. He made a sharp motion towards the exit behind her. Then a woman stepped between them, and he vanished into the crowd. Quinn seized the cane and pushed it aside. The man rose, blocking the narrow opening with his body. He was broad across the chest, but his right leg bent poorly. She could get past him. She could also see two more figures near the barriers watching her hands. The radio at her shoulder spat one clear word. “Quinn?” She pressed the button. “I’ve found a market beneath the station. Multiple civilians. Suspect inside.” A hiss answered her. The man with the cane glanced at the radio. “No calls down here.” “Sounds like a problem for you.” “Sounds like you need a token.” Quinn looked past him. On a table near the barriers, a small stack of bone discs sat beside a brass bowl. People placed one in the bowl as they passed. She could see no price list, no till. “Where do I get one?” “Outside.” “The door locked behind me.” “Then your man should’ve given you his.” A clatter broke out on the far side of the concourse. A seller swore. Herrera’s grey coat flashed beside a stall draped with blue cloth. He was moving towards the platforms. Quinn took the stool by one leg and shoved it across the entrance. The man caught it with his cane. She slipped past his injured side, crossed the few feet to the barriers and lifted a disc from the stack. “Put that down.” She dropped it into the brass bowl. It rang like a struck glass. The two watchers stepped away from the barriers. One muttered something to the other. Quinn did not wait to hear it. She went through the gap and into the market. Close up, the crowd looked less like a gathering of shoppers than a queue pressed into every available space. A man with cracked skin along his neck held gauze against his jaw. A child slept beneath a table while its owner measured black powder into paper twists. Quinn kept her right hand free and tracked the grey coat ahead. “Herrera. Stop.” He halted beside a pillar. Before she could reach him, a young man stumbled from the blue-draped stall and caught at Herrera’s sleeve. Blood soaked the front of his shirt. Herrera opened the medical bag without looking at Quinn. “No,” Herrera told the young man. “Sit down. Both feet on the floor.” Quinn closed the distance. The young man sank onto an overturned crate. Herrera pulled out a dressing and pressed it against a wound beneath his collarbone. “You ran down here for this?” Herrera kept pressure on the wound. “I ran because you brought half the street after me.” “You could have told me someone needed help.” “Would you have let me go?” “No.” “There you are.” He glanced at her hands. “Gloves in the side pocket. Put one on and hold this.” Quinn looked at the young man. His lips had lost their colour. Blood slid between Herrera’s fingers and darkened the floor. “Who did this to him?” Herrera shifted the dressing. “Hold it first.” She pulled on a glove, knelt and pressed her palm where he guided it. The young man caught his breath. Herrera reached back into the bag for a roll of tape. A bell sounded from the concourse. The voices around them dropped. Quinn looked over her shoulder. The man with the cane had reached the nearest row of stalls. He pointed towards her, and people cleared a path. Herrera tore a strip of tape with his teeth. “That’s why I told you to leave,” he told her. Quinn kept her hand on the dressing. “Get this finished.” Herrera wound the tape around the young man’s shoulder, his scarred forearm brushing her wrist. Quinn glanced at her watch. Less than two minutes had passed since she entered the concourse. The man with the cane stopped at the edge of the stall. “The token wasn’t yours.” Quinn met his gaze. “Put it on my bill.” He looked at the blood under her hand, then at Herrera’s open bag. “Finish what you’re doing,” he told Herrera. “Detective, you and I need to speak.” “I’ve got questions for him.” “Then ask them while he works.” Quinn pressed the dressing against the young man’s wound. Herrera reached for another length of tape, and she shifted her fingers to give him room.
created_at"2026-09-23T16:34:03.901Z" 9/23/2026, 4:34:03 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2138
moderation_latency(null)
generation_time50447
tokens_prompt1104
tokens_completion3247
native_tokens_prompt984
native_tokens_completion2700
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"
usage0.028968
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181243-a5MkmYmVu9Kfgb43J4Q1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181243-uVmcWVRavKKvEtm7CkaP"
upstream_id"resp_00ab267aa582865b016ab3ff7c040887d19901ab8276c5f6f8"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_00ab267aa582865b016ab3ff7c040887d19901ab8276c5f6f8"
is_byokfalse
latency588
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.028968
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
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences70
tagDensity0.143
leniency0.286
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2170
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)
93.09% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2170
totalAiIsms3
found
0
word"footsteps"
count1
1
word"velvet"
count1
2
word"measured"
count1
highlights
0"footsteps"
1"velvet"
2"measured"
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
narrationSentences200
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences200
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences260
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2170
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions73
wordCount1795
uniqueNames9
maxNameDensity1.78
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Herrera"
discoveredNames
Raven1
Nest3
Harlow1
Quinn32
Herrera29
Saint1
Christopher1
Seven1
Rain4
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Rain"
places
0"Raven"
1"Nest"
globalScore0.609
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences145
glossingSentenceCount1
matches
0"looked like a coin until he brought it in"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2170
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences260
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs127
mean17.09
std15.36
cv0.899
sampleLengths
054
12
235
343
441
59
611
73
824
920
1049
119
1214
1336
141
158
164
178
1810
1943
2038
2115
228
2313
244
2515
263
273
285
295
3024
314
323
335
343
3539
3611
373
382
3939
4018
413
424
4319
4447
458
4620
4718
484
4910
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences200
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs299
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences260
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1798
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.016129032258064516
lyAdverbCount3
lyAdverbRatio0.0016685205784204673
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences260
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences260
mean8.35
std4.7
cv0.563
sampleLengths
022
112
220
32
43
513
65
714
85
922
105
1111
124
1319
1418
159
1611
173
1812
1912
2020
217
2220
238
248
256
269
273
285
296
304
316
3212
3314
341
358
364
378
3810
394
406
4123
4210
4312
4412
4510
464
472
4813
498
46.92% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.28846153846153844
totalSentences260
uniqueOpeners75
17.18% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences194
matches
0"Then a woman stepped between"
ratio0.005
94.23% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount61
totalSentences194
matches
0"He looked back."
1"He put his shoulder into"
2"She cleared the bonnet and"
3"Her watch read 11:47."
4"She had seen him inside"
5"she had asked"
6"She turned after them."
7"He gripped it once, then"
8"He glanced back from beneath"
9"He swung the gate shut"
10"She went after him, scraping"
11"His hands were empty."
12"He raised them."
13"His eyes shifted to the"
14"He pulled a small object"
15"It looked like a coin"
16"Its surface bore flaking paint"
17"he told her"
18"He pressed the bone disc"
19"She reached for her cuffs."
ratio0.314
27.01% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount168
totalSentences194
matches
0"The man in the grey"
1"Detective Harlow Quinn came through"
2"He looked back."
3"Rain ran off his dark"
4"Tomás Herrera had heard her."
5"He put his shoulder into"
6"A bus swung between them."
7"Quinn slapped its flank as"
8"A taxi sounded its horn."
9"She cleared the bonnet and"
10"Her watch read 11:47."
11"She had seen him inside"
12"she had asked"
13"Herrera had looked at the"
14"Quinn keyed her radio as"
15"Water poured from a broken"
16"The reply dissolved beneath a"
17"Herrera vaulted a line of"
18"Quinn took the gap between"
19"The heel of her shoe"
ratio0.866
77.32% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences194
matches
0"Now he ran."
1"By the time she lifted"
2"Before she could reach him,"
ratio0.015
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences77
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences70
tagDensity0.086
leniency0.171
rawRatio0
effectiveRatio0
88.5250%