Run: 2026-10-27-01M5YJ9NKW1AQ94JQX902JEEVY

Run Details

Duration:
41.2s
Cost:
$0.014679
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Rain struck the windscreen hard enough to blur the man outside the Raven’s Nest into a dark smear. Detective Harlow Quinn killed the engine and watched him step beneath the green neon sign. Tomás Herrera kept one hand inside his coat. With the other, he held a phone against his ear. “No. Don’t bring him here.” He listened, turned his back to the street and lowered his head. Water ran from his curls onto his collar. Quinn opened the car door. “Herrera.” He looked up. His hand came out of his coat holding a small parcel wrapped in grey cloth. “Detective.” “Put that down.” A bus rolled between them, its tyres throwing a sheet of water over the kerb. Quinn moved around its rear. Herrera shoved the parcel under his coat and ran. She went after him, cutting between two people sharing an umbrella. Her shoulder clipped a wet canvas bag. Apples scattered across the pavement behind her. “Police! Move!” Herrera crossed against the lights. A black cab braked, its horn blaring. Quinn planted a hand on the bonnet and vaulted past, her shoe skidding on the white paint of the crossing. He reached the opposite pavement and ducked into an alley beside a shuttered restaurant. Quinn followed, rainwater spilling from a broken gutter onto her cropped hair. The alley narrowed between brick walls, its bins packed tight against the restaurant’s back door. “Herrera! I only want the parcel.” “Then ask the man who gave it to me.” “Who was he?” A metal lid crashed down behind him. Quinn swerved around it. Herrera shoved through a gate at the far end and disappeared onto another street. She caught the gate before it swung shut. A cyclist swore and wrenched his handlebars aside as she came through. Herrera had twenty yards on her. He ran beneath a row of awnings, knocking rain from their edges onto the pavement. Quinn pulled her phone from her pocket and pressed the call button. “Control, this is Detective Quinn. Suspect on foot, heading north from Dean Street. Tomás Herrera, dark coat, carrying a cloth parcel.” “Units are five minutes away.” “I need a car at the junction with Oxford Street.” She put the phone away and ran. Herrera glanced over his shoulder at the junction. A car turned across the crossing, blocking his path. He slapped its boot and darted around the front. Quinn followed, catching the driver’s raised hand through the windscreen. On the other side, Herrera took the steps down to the Underground station two at a time. Quinn reached the entrance in time to see him jump the ticket barrier. “Stop him!” A station attendant rose from a stool. Herrera knocked through the open gate beside the booth, leaving the attendant flattened against the glass. Quinn showed her warrant card and followed. The platform smelled of wet wool and hot metal. A train stood with its doors open, passengers squeezing aboard. Herrera pushed into the last carriage. Quinn ran for the next set of doors. The warning sounded. She forced herself through as they closed against her coat, earning a sharp look from a woman holding a sleeping child. Through the windows between carriages, Herrera’s dark head moved toward the far end of the train. Quinn drew her phone again. No signal. “Excuse me.” She edged past a pair of students and reached the connecting door. It resisted under her hand. She put her shoulder against it, slipped through and came out among passengers who stared at the water dripping from her coat. Herrera stood at the far door, one hand gripping the rail. The cloth parcel made a bulge beneath his arm. “Tomás.” He turned. His face had gone pale beneath his olive skin. “You saw me outside the bar. You know I didn’t go in.” “You met a man at the service entrance.” “I treated a patient.” “Your patient had blood on his shoes and a knife in his pocket.” “Then arrest him.” “I found him in an ambulance bay with his throat cut.” The train lurched. Herrera caught himself against the rail. “What?” “You left him there at nine forty. The paramedics found him at ten.” “I left him breathing.” “What did he give you?” Herrera pressed his arm against the parcel. A thin red stain had spread through the grey cloth. “Something he asked me to keep away from the people who hurt him.” “His name was Daniel Cross. He worked security at a warehouse in Camden. Three nights ago, a woman disappeared from that warehouse.” “I didn’t know him.” “You knew enough to meet him in an alley.” “He called the number people give out when they can’t go to hospital.” The train slowed. Quinn moved closer. “Let me see what he gave you.” “No.” The doors opened. Herrera shoved between two passengers and ran onto the platform. Quinn followed. An announcement echoed overhead, swallowed by the noise of a train passing on the opposite track. He took the stairs instead of the escalator. Quinn climbed after him, her lungs burning. At the top, he pushed through the ticket gates and onto Camden High Street. Rain hammered the road. Shopfronts glowed through the downpour, their signs reflected in ribbons of colour across the pavement. Herrera turned past a locked tattoo parlour and cut through a knot of people sheltering under its awning. A man stepped out in front of Quinn. She seized his shoulder to steady them both. “Police. Which way did he go?” The man pointed towards a side street. Quinn ran. Her watch strap had worked loose; the worn leather slapped against her wrist. She tightened it without breaking stride. The side street ended at a chain-link fence around a building site. Herrera stood at the fence, hauling a loose panel aside. Beyond it, a narrow passage led between two boarded buildings. “Tomás!” He slipped through. Quinn reached the gap and pulled at the panel. A twisted strand of wire snagged her sleeve. She tore the fabric free, scraped her knuckles and followed him into the passage. At the far end stood a brick building with its windows sealed and its entrance buried beneath plywood. An old Underground roundel showed through the dirt above the boards. Herrera had vanished. Quinn stopped. Rain ticked against a metal drum. Somewhere behind the plywood, a door scraped over concrete. She crossed the yard and found a narrow opening between the boards and the wall. Inside, a strip of light showed beneath a steel door. Quinn drew her warrant card and knocked. “Police. Open up.” The scrape stopped. A bolt slid back, and the door opened a hand’s width. A woman with silver rings in both eyebrows looked out. She wore a heavy black coat over a red dress, and a cigarette rested behind one ear. “Closed.” “A man came through here. Dark coat, carrying a parcel.” “Lots of men wore coats tonight.” Quinn put her foot against the door. “I’m looking for Tomás Herrera. Move aside.” The woman looked down at Quinn’s shoe. “You’ve got a token?” “I’ve got a warrant card.” “That won’t get you downstairs.” Voices rose from beyond the door, along with the clatter of metal and the smell of cooking fat. Quinn pushed harder. The woman held the door with one hand. “Token,” she repeated. Herrera’s voice came from inside. “Let me through. I paid.” Another voice answered him. “Your parcel stays wrapped.” Quinn drove her shoulder into the door. The woman stepped back, but a second person stood behind her: a broad man with a shaved head and a leather apron. He caught the door and shoved it into Quinn’s shoulder. She staggered into the rain. “Assaulting an officer won’t improve your evening.” The man held out his hand. “Token.” Herrera appeared at the top of a descending staircase behind him. He looked back at Quinn, then raised the parcel out of sight beneath his coat. “Tomás, Cross is dead. Whoever killed him could be waiting for you down there.” “I know.” “Then give me the parcel.” “Bring a token.” He turned and went down. His footsteps rang against the stairs. The door shut. Quinn caught it before the latch engaged, but the man pushed from the other side. She let go and stepped back. A young woman stood beneath the shelter of the boarded entrance, watching. She had a plastic shopping bag looped over her wrist and a pale object in her hand, no bigger than a domino. She closed her fingers around it when Quinn looked over. “Where did you get that?” The woman tucked her fist into her coat. “Bought it.” “From whom?” “Someone who had two.” Quinn took out her wallet. The woman’s gaze dropped to it. “How much?” “Fifty.” “For a piece of bone?” “For getting through that door.” Quinn counted out the notes. The woman took them, then placed the token in Quinn’s palm. It had been cut from something curved and polished at the edges. Three shallow lines crossed one face. “Does it get me back out?” “Use the stairs.” The woman slipped past her and disappeared through the gap in the boards. Quinn knocked again. The man opened the door and held out his hand. She showed him the token. He examined it without touching it, then stood aside. The stairs descended beneath a low ceiling glazed with damp. Bare bulbs hung from cables fastened to the walls. At the bottom, Quinn stepped onto the concourse of an abandoned station. Old advertisements peeled from the tiles. Beyond the ticket hall, stalls crowded a disused platform beneath strings of yellow lights. People pressed between tables and hanging curtains, carrying bags, cages and bundles wrapped in oilcloth. The air smelled of spices, engine oil and something sharp enough to sting her nose. Quinn put her hand inside her coat, close to her radio. A burst of static answered when she pressed the button. “Control, this is Quinn. I’m beneath Camden High Street, in a disused station.” Static crackled against her thumb. She released the button. At a nearby stall, a man in a butcher’s apron laid a row of stoppered bottles on a cloth. Their contents shifted as he moved them, though he held each bottle upright. Across the aisle, a woman sorted teeth into a set of brass scales. Quinn spotted Herrera near the platform edge. He had stopped beside a stall hung with old maps. A woman in a green headscarf reached for his parcel. “Tomás!” He pulled it back. The woman dropped her hand and stepped away. Quinn pushed through a group gathered around a card table. One of them caught her sleeve. “Watch it.” She showed her warrant card. His grip loosened. Herrera moved into the crowd. Quinn followed, shouldering past a rack of coats. A glass jar fell from a shelf and broke at her feet, spilling black seeds across the tiles. “Pay for that!” the stallholder shouted. “Police business.” “Then arrest your shoes.” Herrera reached a gap between two stalls and looked back. Quinn saw the Saint Christopher medallion against his throat, the chain exposed where his collar had come open. “Cross asked for help,” she called. “You gave it. Don’t make yourself part of his murder.” “He gave me a name.” “Whose?” “He wouldn’t tell me until I’d treated him.” “And did he tell you?” A buyer carrying a wire cage passed between them. Something inside struck the bars. When the buyer moved on, Herrera had backed towards an archway at the end of the platform. “He wrote it down,” he called. “On what?” Herrera touched the parcel. Quinn advanced. The crowd flowed around her, forcing her to turn sideways between a stack of wooden crates and a woman with a basket of eels. “Then let me read it.” Herrera glanced through the archway. A second passage lay beyond it, lined with closed doors. He went through. Quinn reached the arch and stopped. The light from the market ended at her feet. Water dripped from a pipe somewhere inside the passage, and a door opened against the wall. Herrera stood halfway down, his hand on its handle. He looked back at her. “You can still walk away.” “Cross’s name won’t leave my desk if I do.” She stepped through the archway and followed him down the passage.
created_at"2026-10-27T11:35:28.649Z" 10/27/2026, 11:35:28 AM
model"openai/gpt-6.1-terra-20261026"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3540
moderation_latency(null)
generation_time41172
tokens_prompt1104
tokens_completion3191
native_tokens_prompt984
native_tokens_completion2739
native_tokens_completion_images0
native_tokens_reasoning164
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"
usage0.014679
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer(null)
request_id"req-1793100928-iGzbtWjed3Gb2e7g04Zj"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1793100928-y3SUPIUu8uhkaAqxBL5y"
upstream_id"resp_0b9ddb99ba43940c016ae08c80bc1887d18aa0eb76dac95013"
provider_responses
0
endpoint_id"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id"resp_0b9ddb99ba43940c016ae08c80bc1887d18aa0eb76dac95013"
is_byokfalse
latency301
model_permaslug"openai/gpt-6.1-terra-20261026"
provider_name"OpenAI"
status200
total_cost0.014679
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences77
tagDensity0.052
leniency0.104
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2057
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)
92.71% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2057
totalAiIsms3
found
0
word"lurched"
count1
1
word"echoed"
count1
2
word"footsteps"
count1
highlights
0"lurched"
1"echoed"
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
narrationSentences178
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences178
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences251
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2057
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
27.68% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions79
wordCount1635
uniqueNames12
maxNameDensity2.45
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Harlow1
Quinn40
Herrera26
Underground2
Camden1
High1
Street1
Saint1
Christopher1
Rain3
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Rain"
places
0"Raven"
1"Underground"
2"Camden"
3"High"
4"Street"
globalScore0.277
windowScore0.333
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
wordCount2057
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences251
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs151
mean13.62
std11.92
cv0.875
sampleLengths
033
118
25
320
45
51
618
71
83
929
1025
112
1232
1341
146
159
163
1725
1820
1933
2021
215
2210
237
2436
2530
262
2730
2825
2932
3016
317
322
3339
3420
351
3611
3712
388
394
4013
413
4211
439
441
4513
464
475
4817
4913
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences178
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs287
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences251
ratio0.004
matches
0"Her watch strap had worked loose; the worn leather slapped against her wrist."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1636
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.014669926650366748
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences251
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences251
mean8.2
std5.01
cv0.612
sampleLengths
018
115
28
310
45
512
68
75
81
93
1015
111
123
1315
145
159
1611
177
187
192
205
217
2220
2314
2412
2515
266
279
283
297
304
3114
328
3312
346
3515
3612
3721
385
3910
407
418
429
439
4410
4517
4613
472
487
4916
48.41% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.2749003984063745
totalSentences251
uniqueOpeners69
19.72% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences169
matches
0"Somewhere behind the plywood, a"
ratio0.006
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount43
totalSentences169
matches
0"He listened, turned his back"
1"He looked up."
2"His hand came out of"
3"She went after him, cutting"
4"Her shoulder clipped a wet"
5"He reached the opposite pavement"
6"She caught the gate before"
7"He ran beneath a row"
8"She put the phone away"
9"He slapped its boot and"
10"She forced herself through as"
11"She edged past a pair"
12"It resisted under her hand."
13"She put her shoulder against"
14"His face had gone pale"
15"He took the stairs instead"
16"She seized his shoulder to"
17"Her watch strap had worked"
18"She tightened it without breaking"
19"He slipped through."
ratio0.254
13.25% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount151
totalSentences169
matches
0"Rain struck the windscreen hard"
1"Detective Harlow Quinn killed the"
2"Tomás Herrera kept one hand"
3"He listened, turned his back"
4"Water ran from his curls"
5"Quinn opened the car door."
6"He looked up."
7"His hand came out of"
8"A bus rolled between them,"
9"Quinn moved around its rear."
10"Herrera shoved the parcel under"
11"She went after him, cutting"
12"Her shoulder clipped a wet"
13"Apples scattered across the pavement"
14"Herrera crossed against the lights."
15"A black cab braked, its"
16"Quinn planted a hand on"
17"He reached the opposite pavement"
18"Quinn followed, rainwater spilling from"
19"The alley narrowed between brick"
ratio0.893
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences169
matches(empty)
ratio0
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
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"she repeated (repeat)"
1"the stallholder shouted (shout)"
dialogueSentences77
tagDensity0.052
leniency0.104
rawRatio0.5
effectiveRatio0.052
86.7256%