Run: 2026-10-27-01M5YHRS3XWDM4XD8H0VA06G5M

Run Details

Duration:
40.6s
Cost:
$0.015294
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 yellow raincoat came out of the alley carrying Quinn’s evidence bag. She recognised the red seal even through the rain. He had torn one corner with his teeth and shoved the contents inside his coat. “Police! Stop!” He looked over his shoulder. Water streamed from his hood, and the white of one eye caught the light from a bus shelter. Then he vaulted the railing and landed in the road. A taxi blared its horn. Quinn followed him across Kentish Town Road, her boots skidding on the painted lane divider. The taxi driver leaned on the horn again as she slapped its bonnet and cleared the front bumper. “Watch it!” “Call 999,” she shouted. “Tell them Detective Quinn needs units on Kentish Town Road.” The driver’s mouth kept moving behind the windscreen. Quinn ran on. The man had taken the evidence from a courier less than a minute earlier. Quinn had watched him knock the courier against a shuttered pharmacy, wrench the case from her hand and run. The courier lay under the awning now, clutching her shoulder, with a woman from the night bus kneeling beside her. The case contained a ledger seized that afternoon from a flat above a betting shop. Three missing people appeared in its pages, their names paired with dates, amounts and addresses. One address belonged to a Soho bar called the Raven’s Nest. Another belonged to the building where DS Morris had died. The man in yellow shoved through a group outside a chicken shop. A paper bag burst against the pavement, scattering chips into the gutter. “Move!” Quinn called. A woman with a takeaway cup stepped into her path and froze. Quinn caught her by the elbow, shifted her aside and kept running. Her radio knocked against her ribs. “Control, this is Quinn. Suspect heading north on Kentish Town Road, male, yellow coat, carrying stolen police property. Request immediate assistance.” Static scraped through the speaker. She turned her shoulder against the rain. “Control, acknowledge.” A voice broke through, thin beneath the hiss. “Quinn, repeat your location.” “Passing the junction with Hawley Road. He’s on foot.” The man cut left between two parked vans. Quinn reached the gap in time to see him push through a gate into a service yard. She hit the gate with her palm. It swung back, clipped her hip and struck the wall. The yard smelled of wet cardboard and old cooking oil. Water dripped from a fire escape. At the far end, the man dragged a wheeled bin across his path and tipped it. The bin struck the ground, spilling bottles and black bags. Quinn jumped the mess and landed with one boot in a puddle deep enough to soak her sock. The man reached a brick wall, caught the top with both hands and hauled himself over. “Stop where you are!” She grabbed the wall and pulled herself up. On the other side, he landed on a low shed roof. Corrugated plastic cracked beneath him. He slid off, struck a stack of crates and rolled into a narrow lane. Quinn dropped onto the shed. It buckled under her weight, but she reached the edge before it gave way. She landed beside the crates, pain shooting through her ankle. The man had gained twenty yards. He swung a metal pole from a pile of discarded shop fittings. Quinn ducked. The pole struck brick where her head had been and rang against the wall. She drove her shoulder into his chest. They hit the ground together. His hood slipped back, revealing a shaved scalp and a tattoo behind his ear: three short black lines. He smelled of cigarettes and damp wool. Quinn pinned his wrist and reached for her cuffs. “Where’s the ledger?” He bared his teeth and drove his forehead into her face. Light burst across her vision. He twisted free before she could close her grip, leaving a strip of yellow fabric in her hand. Quinn got one knee beneath her. The man snatched up the pole, but she kicked his ankle. He stumbled, abandoned the pole and ran. Blood slipped over her upper lip. She wiped it with her sleeve and followed him out of the lane. Camden High Street shone under the streetlights. Rain drummed on awnings and streamed off the edge of a closed market stall. The man barged across the pavement, shouldering past two men arguing beneath an umbrella. A cyclist swerved around him and crashed into a rack of postcards. Quinn pulled her radio free. “He’s heading towards Chalk Farm. Yellow raincoat, shaved head, tattoo behind his left ear.” “Units are responding.” “How far?” The radio crackled. “Four minutes.” The man vanished through a doorway between a tattoo parlour and a boarded-up shop. A rusted sign above the door advertised shoe repairs. Quinn hit the entrance at a run and found a steep flight of steps. She drew her torch and took the stairs two at a time. The beam bounced over flaking green paint, old chewing gum and a poster for a concert that had taken place eleven years earlier. At the bottom, a door slammed. She reached it and pulled. Locked. Quinn tested the hinges, then drove her heel beside the latch. The frame split on the second kick. The door opened onto a tiled passage where rainwater ran in a thin stream towards a drain. The man was halfway down the corridor, dragging a steel grille across an opening. “Don’t touch it!” Quinn shouted. He slammed the grille into place. A chain rattled through its bars. Quinn reached him as he snapped a padlock shut, and her fingers closed around his sleeve. The soaked fabric tore along the seam. He pulled away, leaving the sleeve in her fist. Through the grille, he backed towards another stairwell. “Put the bag down.” He reached inside his coat. Quinn drew her baton and braced herself, but he pulled out a small white disc. He held it against the wall beside the stairs. Something clicked, and a panel slid open. “Stop!” He slipped through the opening. The panel shut behind him. Quinn shook the grille. The chain held. Beyond it, the wall looked solid except for a narrow groove in the tiles. She shone her torch through the bars and found a circle scratched into the surface at waist height. Her radio spat a burst of static. She pressed the transmit button. “Control, I’m below street level. Entrance between a tattoo parlour and a boarded shop on Camden High Street. Suspect has gone through a concealed door.” “Quinn, we need a number.” She looked back at the broken door. “I didn’t see one. Get a unit to the courier on Kentish Town Road. She needs medical attention.” “Units are on their way. Wait for assistance.” Quinn studied the padlock. The chain ran through a bolt fixed to the wall, but the bolt sat in mortar that had crumbled around its edges. She wedged her baton behind the plate and pulled. The plate shifted. She planted her boot against the wall and put her weight on the baton. Mortar cracked. The bolt came free, and the chain fell across her boot. She opened the grille and crossed to the wall. The circle scratched into the tile held a shallow indentation. She pressed it with her thumb. Nothing moved. Footsteps sounded behind her. A man stood at the bottom of the stairs with a canvas medical bag hanging from his shoulder. His dark curls clung to his forehead. He wore a wet denim jacket, and a Saint Christopher medallion showed at the open neck of his shirt. Quinn stepped away from the wall, baton raised. “Don’t come any closer.” He stopped. His eyes moved from her face to the broken grille. “You’ve made a mess of that.” “Name.” “Tomás Herrera.” The name belonged to a file on her desk. Former paramedic. Unlicensed medical work. Several associates linked to the Raven’s Nest. “You were at the bar on Thursday.” “I was treating a burn.” “The man you treated left before an ambulance arrived.” “He didn’t want an ambulance.” “Did he want a doctor who still had a licence?” Herrera tightened his grip on the bag. “He wanted his hand.” Quinn pointed at the wall. “A man came through here in a yellow coat. Open it.” “I can’t.” “He used a white disc.” Herrera’s gaze flicked towards the indentation. Quinn watched him shift his bag to cover his jacket pocket. “Empty your pockets.” “I’ve got someone waiting for me.” “Then tell me how to get through, and you can go.” Herrera took a breath. Water dripped from the end of his sleeve. “It’s a market. You need a bone token.” “Where do I get one?” He did not answer. Quinn took a step towards him, and he reached into his pocket. She caught his wrist before his hand came out. A pale disc lay against his palm, no wider than a two-pound coin. Its surface held a carved spiral. “I need that,” he said. “You can have it back when you open the door.” “People go there because they don’t want police asking questions.” “One of those people stole evidence from an injured woman.” Herrera looked past her at the chain on the floor. “What evidence?” “A ledger. He hit the courier and left her on the pavement.” The medic’s jaw tightened. “Is she breathing?” “She was speaking when I left her. Help is coming.” Herrera held out his hand. Quinn released his wrist but kept the baton between them. He pressed the disc into the indentation. The wall clicked, and the tiled panel slid aside. Beyond it, stairs descended into a wash of amber light. Voices rose from below, mixed with the scrape of metal and the clatter of crockery. Herrera pulled the token free. “Give it to me,” Quinn said. “The door will shut.” “Then come through.” He hesitated. Quinn could hear the market now: a man calling prices, a burst of laughter, a cough that became a wet retch. Somewhere below, her suspect still had the ledger. She pressed her radio. “Control, concealed entrance confirmed. I’m going in.” “Quinn, hold your position. The nearest unit is two minutes out.” She looked at Herrera. His hand had closed around the token. “Two minutes,” he said. “You can wait.” “The man with the ledger won’t.” “You don’t know what’s down there.” Quinn thought of Morris’s address written in the ledger, the ink pressed so hard it had marked the next page. She had spent three years waiting for someone to explain what had happened in that building. This man had taken the first piece of evidence that connected it to another case. She stepped through the panel. Herrera followed, holding the door with one hand until he had tucked the token into his pocket. The panel slid shut behind them. The stairs opened onto an abandoned Tube platform. Strips of cloth hung from the ceiling, catching the draught from the tunnel. Electric lamps and candles lit stalls built from doors, crates and old ticket barriers. Vendors stood behind trays of stoppered bottles, bundles of dried plants and objects Quinn could not name. A woman in a silver coat turned from a table of glass eyes. A man carrying a cage stopped beside a pillar. Something inside the cage struck its bars. “Yellow coat,” Quinn said. “Where?” Herrera scanned the platform. A train had once passed through the tunnel beside them; now stalls crowded the track bed, with planks laid across the rails. Shoppers moved between them, brushing shoulders under the low roof. “There.” The suspect stood near the far end, arguing with a vendor beneath a red umbrella. He had folded the torn side of his coat across his chest. Quinn glimpsed the red seal of the evidence bag in his hand. She started down the platform. The woman at the table of eyes stepped into her path. “You broke the door.” “Move.” The woman held her ground. Quinn went around her, pushing between a pillar and a rack of hanging copper charms. They struck one another with a sharp metallic chatter. The man in yellow heard it. He looked up, saw her and shoved the evidence bag under the umbrella. “Police!” Quinn called. “Don’t touch that bag!” The vendor snatched it off the counter. The man in yellow plunged into the crowd, knocking a shopper against a stall. Bottles toppled and broke across the boards. Quinn reached the edge of the platform and jumped onto the track bed. Herrera came down beside her, his medical bag thumping against his hip. “The vendor’s got it,” he said. The vendor ducked beneath the table. Quinn pushed through the shoppers and caught sight of the red seal between his fingers as he crawled towards an opening at the back of the stall.
created_at"2026-10-27T11:26:15.176Z" 10/27/2026, 11:26:15 AM
model"openai/gpt-6.1-terra-20261026"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4270
moderation_latency(null)
generation_time40513
tokens_prompt1104
tokens_completion3247
native_tokens_prompt984
native_tokens_completion2862
native_tokens_completion_images0
native_tokens_reasoning206
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"
usage0.015294
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer(null)
request_id"req-1793100375-wNJ9sg1gBKTNLVzzgTJZ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1793100375-69Lq1TkUUDizI2CoHAQg"
upstream_id"resp_0b3658ebe9d53738016ae08a57422487d19e62c1d40f01b769"
provider_responses
0
endpoint_id"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id"resp_0b3658ebe9d53738016ae08a57422487d19e62c1d40f01b769"
is_byokfalse
latency278
model_permaslug"openai/gpt-6.1-terra-20261026"
provider_name"OpenAI"
status200
total_cost0.015294
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences65
tagDensity0.138
leniency0.277
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2148
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)
86.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2148
totalAiIsms6
found
0
word"weight"
count2
1
word"footsteps"
count1
2
word"flicked"
count1
3
word"electric"
count1
4
word"scanned"
count1
highlights
0"weight"
1"footsteps"
2"flicked"
3"electric"
4"scanned"
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
narrationSentences187
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences187
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences243
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2148
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
51.41% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions63
wordCount1775
uniqueNames15
maxNameDensity1.97
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Quinn35
Kentish1
Town1
Road1
Soho1
Raven2
Nest2
Morris2
High1
Street1
Saint1
Christopher1
Herrera10
Tube1
Water3
persons
0"Quinn"
1"Raven"
2"Morris"
3"Saint"
4"Christopher"
5"Herrera"
6"Water"
places
0"Kentish"
1"Town"
2"Road"
3"Soho"
4"High"
5"Street"
globalScore0.514
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences138
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2148
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences243
matches
0"seized that afternoon"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs131
mean16.4
std14.56
cv0.888
sampleLengths
015
124
22
333
438
52
614
711
853
951
1024
113
1230
1321
1412
152
168
174
189
1942
2032
2144
224
2338
2435
2535
2639
273
2834
2924
3019
3147
325
3314
343
352
363
372
3837
3941
406
4135
4214
435
4435
4517
464
4736
481
4910
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences187
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs307
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences243
ratio0.004
matches
0"A train had once passed through the tunnel beside them; now stalls crowded the track bed, with planks laid across the rails."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1777
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.011254924029262802
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences243
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences243
mean8.84
std5.23
cv0.591
sampleLengths
015
19
215
32
45
518
610
75
815
918
102
114
1210
138
143
1514
1619
1720
1815
1915
2011
2110
2212
2312
243
2512
2612
276
2821
295
307
312
328
334
349
358
3617
377
3810
3910
406
4116
4210
4318
4416
454
468
4711
485
4914
47.12% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.2839506172839506
totalSentences243
uniqueOpeners69
38.99% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences171
matches
0"Then he vaulted the railing"
1"Somewhere below, her suspect still"
ratio0.012
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount51
totalSentences171
matches
0"She recognised the red seal"
1"He had torn one corner"
2"He looked over his shoulder."
3"Her radio knocked against her"
4"She turned her shoulder against"
5"She hit the gate with"
6"It swung back, clipped her"
7"She grabbed the wall and"
8"He slid off, struck a"
9"It buckled under her weight,"
10"She landed beside the crates,"
11"He swung a metal pole"
12"She drove her shoulder into"
13"They hit the ground together."
14"His hood slipped back, revealing"
15"He smelled of cigarettes and"
16"He bared his teeth and"
17"He twisted free before she"
18"He stumbled, abandoned the pole"
19"She wiped it with her"
ratio0.298
0.94% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount157
totalSentences171
matches
0"The man in the yellow"
1"She recognised the red seal"
2"He had torn one corner"
3"He looked over his shoulder."
4"Water streamed from his hood,"
5"A taxi blared its horn."
6"Quinn followed him across Kentish"
7"The taxi driver leaned on"
8"The driver’s mouth kept moving"
9"Quinn ran on."
10"The man had taken the"
11"Quinn had watched him knock"
12"The courier lay under the"
13"The case contained a ledger"
14"Another belonged to the building"
15"The man in yellow shoved"
16"A paper bag burst against"
17"A woman with a takeaway"
18"Quinn caught her by the"
19"Her radio knocked against her"
ratio0.918
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences171
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences84
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount2
fancyTags
0"she shouted (shout)"
1"Quinn shouted (shout)"
dialogueSentences65
tagDensity0.138
leniency0.277
rawRatio0.222
effectiveRatio0.062
87.4828%