Run: 2026-09-03-01M1KXMKQBB52JZFZQR6311JV2

Run Details

Duration:
3m 24s
Cost:
$0.023272
Provider:
Reka

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The rain had turned Soho into a mirror. The green neon above the Raven’s Nest bled across the wet cobbles, dragging a sickly halo into every puddle, and Detective Harlow Quinn hated that it made the alley behind the bar look like a stage set. She kept her shoulders low beneath the hood of her coat, the worn leather watch on her left wrist dark and still against her skin. Eighteen years had taught her patience. Tonight, patience felt like swallowing broken glass. Then the service door opened, and Tomás Herrera stepped out of the steam. He was moving too fast for a man who claimed he was only there to collect a medical kit. His short curly dark brown hair was wet, his olive face tight. The Saint Christopher medallion swung at his throat, catching the green light with every stride. Quinn saw the knife scar along his left forearm as he brushed past a closed flower stall, and her hand found the cold weight of her baton in her pocket. “Herrera.” He stopped. Not abruptly. That was the worst part. He turned with the controlled economy of a man who had spent years in emergency corridors, as if the world were a hallway he could manage. “Detective Quinn.” His voice was soft, almost polite. Behind him, the Raven’s Nest hummed, low and muffled, like a secret held too long. “You left a meeting I wasn’t invited to.” “You weren’t meant to be there.” “Neither was I, apparently. But I am now.” She stepped closer. The rain ran in thin lines down the front of her coat. “Where is the shipment?” His eyes flicked over her shoulder, then to the side street. “You don’t understand what you’re after.” “Alchemical stimulants sold to unlicensed buyers. Unregistered patient files. A paramedic who kept treating things the NHS had no protocol for.” She let the list settle. “Tell me where it went.” “I’ll tell you in one place where you can’t make me sign a statement.” “That sounds like an admission.” “That sounds like survival.” He started moving again. Quinn moved with him, not chasing, following, her boots striking the same steady rhythm she had used in field exercises at the academy. Her jaw stayed sharp, her breath measured. She did not let him cross the street before she crossed it. He cut through the narrow gap between a shuttered phone shop and a row of blacked-out windows. She matched him shoulder to shoulder with the architecture, close enough to see the medallion bounce against his collar. “Tomás,” she said, lowering her voice. “If you run, I run with you. If you stop, you talk. Your choice.” He glanced back. Warm brown eyes, tired and wary. “You think this is about me? This is about what happens when people like you start asking questions in the wrong dark.” “DS Morris was asking questions.” The name hit him. His face changed before he could stop it. He rounded a corner. Quinn turned with him, the rain plastering her closely cropped salt-and-pepper hair to her skull. The street narrowed. A black cab waited at the kerb, its driver dozing. Tomás did not wait. He ducked under a chain barrier and into a service passage, and Quinn heard him call back, “If you want answers, keep up.” She went after him. The passage smelled of wet cardboard and diesel. Overhead, a single bulb flickered. She followed the sound of his shoes, not a desperate sprint, but a runner’s pace. He knew the city’s blind spots. She knew how men moved when they were trying to be caught. At the next junction, he stopped beneath a rusted pipe and turned. “Why?” he asked. “Because a good detective doesn’t leave a loose thread,” Quinn said. “And because your story has holes the size of a body bag.” “Maybe some holes shouldn’t be filled.” “Morris went into one of them.” His mouth tightened. “Then you’re already deeper than you know.” He led her out through Camden. The rain fell harder now, turning the street into a river of reflected lights. They passed closed bookshops, a church with its doors locked, the skeleton of a food market still hung with torn plastic. Quinn kept watch on the shadows at either end of the street, on the mouths of doorways, on the faces that watched from upper windows. She had been to Camden a hundred times, but not like this, not with the city rearranging itself into something less forgiving. At the edge of an old underpass, a green sign hung at an angle: CAMDEN TUBE. Beneath it, a service door stood open in the dark, framed by peeling paint and the smell of ozone. Quinn slowed. “Hold on.” She touched the radio at her shoulder. Static crackled, then silence. “Hold your radio,” Herrera said. “Who’s down there?” “People.” “People don’t have service doors that lead nowhere.” “Some doors only exist when you need them.” He stepped toward the opening. “The market’s here tonight.” Quinn’s hand moved away from the radio. “What market?” “The Veil.” The name landed flat, but her body heard the warning in it. An abandoned Tube station beneath Camden. She had seen the file once, misfiled under urban legend, a single page with a child’s drawing of a station and the words: full moon only. She had thrown it away. She had not thrown away the bone token that had been in the same file. A figure stood in the service doorway. Not a bouncer in the way Quinn recognized from the clubs along Oxford Street. The woman was thin, dressed in a dark coat, with a ledger in one hand and a brass lamp in the other. Her eyes moved over Quinn as if checking her for stitches. “Token,” the woman said. Herrera reached into his coat and produced a small carved bone, no larger than a tooth. He set it in the woman’s palm. The woman turned it once, then stepped aside. The doorway exhaled cold air. Beyond it, a stairwell descended into a faint blue glow. Quinn stepped to the edge. “I’m Metropolitan Police,” she said. “I have a warrant for Herrera’s arrest.” The woman did not blink. “No badges. No witnesses. Bone.” “I can have this place closed by morning.” “Then you’d better hurry.” Herrera was halfway down the stairs. He looked back. “Quinn. If you come down there, don’t take anything from a stall. Don’t accept a drink. And don’t let them see you afraid.” “I’m not afraid.” “Good. It makes you easier to follow.” He disappeared below. Quinn stood at the threshold, rain dripping from the brim of her coat onto the metal step. Below, the market unfolded in fragments: a long platform where ticket machines stood like sentinels, stalls draped in oiled cloth, jars of pale smoke, bundles of string, glass vials that held colors she had no name for. Voices moved through the dark, low and careful. Somewhere deeper, a radio played a tune that sounded old and wet. The air rising from below carried iron, camphor, and the faint sweetness of burnt sugar. It was beautiful, in the way a wound is beautiful before it turns. She looked at the woman with the ledger. “I don’t have a token.” The woman’s eyes sharpened. “Then you don’t go.” Quinn’s fingers closed in her pocket. The bone was small and cold, a sliver from a file she had kept for three years. It had come out of Morris’s jacket after the scene at the old river house, where the door had been found locked from the inside and the water had risen three inches without any broken pipe, without any leak, without any explanation she could file. The lab had called it animal bone. The lab had not been able to say whose. She thought of Morris’s face the last time she saw it, calm and wrong, as if he had been listening to a frequency only he could hear. “Wait,” Quinn said. The woman with the ledger looked at her again, the brass lamp swaying. Quinn took the token from her pocket. It fit into the hollow of her hand like it had been waiting. “Bone,” she said. The woman looked at it for a long moment. Then, with a faint click, she turned the lamp aside. “Go,” she said. “And remember, Detective. In here, what you spend is not always money.” Quinn descended. The stairs were old, the tiles cracked, the air growing warmer as she went down. At the bottom, the market opened around her, and she kept her face still. Stalls lined the abandoned platform. One sold maps that moved in their frames. Another displayed small brass locks that ticked like insects. A woman in a moth-eaten coat folded a cloth into the shape of a closed eye and whispered, “For sleep? For silence? For forgetting?” Quinn did not answer. She looked for Herrera. She found him near the far end of the platform, standing before a shuttered turnstile that should not have had a door behind it. He was speaking to a man Quinn had not seen before, a broad figure with a coat the color of dried blood. Quinn slowed. “You came.” Herrera said. It was not a question. “I had a token.” The man in the dark coat smiled without warmth. “The old one’s mark.” Quinn’s hand tightened on the baton. “Who are you?” The man looked at her as if deciding whether she was furniture. “The market remembers who pays its debts.” Herrera stepped between them. “It’s time.” The man nodded, and the door behind the turnstile opened. Beyond it was not the rest of the station. It was a corridor of black stone, lit by lamps that burned without smoke. The market noise thinned, replaced by the slow drip of water and something else, a sound like pages turning in an empty room. Herrera turned to Quinn. “I can’t take you any further.” “Then why did you lead me here?” “Because I couldn’t let you find this place alone.” Quinn looked at the corridor, then at the token in her hand. The bone was warm now, almost alive. “Morris came down here,” she said. The man’s smile did not change, but his eyes went cold. “You still talk about him like he’s missing.” “He was.” “He was taken.” The word was small, but it cut through the rain, the market, the years. Quinn felt the old anger rise, hard and clean. “Who took him?” The man looked at the corridor as if answering might invite it closer. “That is what you will have to go and ask.” The door began to close. Quinn had a choice. She could turn back, climb the stairs, walk into the wet London night with a file full of holes and a dead partner’s name in her mouth. She could stay in the part of the city she understood, where evidence had edges and witnesses had faces. Or she could step through the door into a place that did not recognize her warrant, and follow the suspect into the dark. She stepped through. The door closed behind her with the soft finality of a case being sealed.
created_at"2026-09-03T15:19:15.448Z" 9/3/2026, 3:19:15 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency321
moderation_latency(null)
generation_time203664
tokens_prompt888
tokens_completion9666
native_tokens_prompt908
native_tokens_completion9041
native_tokens_completion_images(null)
native_tokens_reasoning6880
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"stop"
service_tier(null)
usage0.02327247
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788448755-OjNFEwars6B9S00ixIE4"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788448755-YLwzGoGAb0ZQdrLgU5ug"
upstream_id"chatcmpl-a637034b-0519-4ec6-b5ad-1838e1018586"
provider_responses
0
endpoint_id"15086968-df2f-4d69-86bb-c74c31644bb6"
id"chatcmpl-a637034b-0519-4ec6-b5ad-1838e1018586"
is_byokfalse
latency319
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"Reka"
status200
total_cost0.02327247
cache_discount(null)
upstream_inference_cost0
provider_name"Reka"
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
totalTags18
adverbTagCount0
adverbTags(empty)
dialogueSentences63
tagDensity0.286
leniency0.571
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1872
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)
75.96% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1872
totalAiIsms9
found
0
word"weight"
count1
1
word"flicked"
count1
2
word"measured"
count1
3
word"flickered"
count1
4
word"silence"
count2
5
word"sentinels"
count1
6
word"warmth"
count1
7
word"almost alive"
count1
highlights
0"weight"
1"flicked"
2"measured"
3"flickered"
4"silence"
5"sentinels"
6"warmth"
7"almost alive"
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
narrationSentences139
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences139
filterMatches
0"look"
1"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences183
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1872
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions54
wordCount1501
uniqueNames17
maxNameDensity1.67
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho1
Raven2
Nest2
Detective1
Harlow1
Quinn25
Tomás2
Herrera8
Saint1
Christopher1
Camden3
Static1
Tube1
Oxford1
Street1
Morris2
London1
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Tomás"
5"Herrera"
6"Saint"
7"Christopher"
8"Static"
9"Morris"
places
0"Soho"
1"Camden"
2"Oxford"
3"Street"
4"London"
globalScore0.667
windowScore0.5
70.21% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences94
glossingSentenceCount3
matches
0"felt like swallowing broken glass"
1"as if checking her for stitches"
2"as if deciding whether she was furniture"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.534
wordCount1872
matches
0"not a desperate sprint, but a runner’s pace"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences183
matches
0"hated that it"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs92
mean20.35
std23.34
cv1.147
sampleLengths
083
113
276
31
435
523
68
76
827
917
1031
1114
125
138
1478
1520
1631
175
1812
1959
204
2158
223
2323
246
256
2610
2788
2835
292
3013
315
323
331
348
3517
369
372
3864
3954
404
4131
4215
435
4412
4510
468
474
4832
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences139
matches
0"been found"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs255
matches
0"were trying"
1"was speaking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences183
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1505
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.023255813953488372
lyAdverbCount7
lyAdverbRatio0.004651162790697674
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences183
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences183
mean10.23
std7.69
cv0.752
sampleLengths
08
137
225
36
47
513
619
712
815
930
101
112
122
135
1426
158
1615
178
186
1911
2012
214
2211
236
2426
255
2614
275
288
2923
307
3112
3217
3319
346
3514
363
376
3822
395
404
418
424
4315
443
4510
464
4723
484
498
42.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.30601092896174864
totalSentences183
uniqueOpeners56
80.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences125
matches
0"Then the service door opened,"
1"Somewhere deeper, a radio played"
2"Then, with a faint click,"
ratio0.024
66.40% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount48
totalSentences125
matches
0"She kept her shoulders low"
1"He was moving too fast"
2"His short curly dark brown"
3"He turned with the controlled"
4"His voice was soft, almost"
5"She stepped closer"
6"His eyes flicked over her"
7"She let the list settle"
8"He started moving again"
9"Her jaw stayed sharp, her"
10"She did not let him"
11"He cut through the narrow"
12"She matched him shoulder to"
13"she said, lowering her voice"
14"He glanced back."
15"His face changed before he"
16"He rounded a corner."
17"He ducked under a chain"
18"She went after him."
19"She followed the sound of"
ratio0.384
28.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount108
totalSentences125
matches
0"The rain had turned Soho"
1"The green neon above the"
2"She kept her shoulders low"
3"Tonight, patience felt like swallowing"
4"He was moving too fast"
5"His short curly dark brown"
6"The Saint Christopher medallion swung"
7"Quinn saw the knife scar"
8"That was the worst part."
9"He turned with the controlled"
10"His voice was soft, almost"
11"She stepped closer"
12"The rain ran in thin"
13"His eyes flicked over her"
14"She let the list settle"
15"He started moving again"
16"Quinn moved with him, not"
17"Her jaw stayed sharp, her"
18"She did not let him"
19"He cut through the narrow"
ratio0.864
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences125
matches(empty)
ratio0
60.89% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences61
technicalSentenceCount7
matches
0"He turned with the controlled economy of a man who had spent years in emergency corridors, as if the world were a hallway he could manage."
1"Quinn moved with him, not chasing, following, her boots striking the same steady rhythm she had used in field exercises at the academy."
2"Her eyes moved over Quinn as if checking her for stitches."
3"Below, the market unfolded in fragments: a long platform where ticket machines stood like sentinels, stalls draped in oiled cloth, jars of pale smoke, bundles o…"
4"Somewhere deeper, a radio played a tune that sounded old and wet."
5"She thought of Morris’s face the last time she saw it, calm and wrong, as if he had been listening to a frequency only he could hear."
6"She found him near the far end of the platform, standing before a shuttered turnstile that should not have had a door behind it."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount1
fancyTags
0"eaten coat folded (eat fold)"
dialogueSentences63
tagDensity0.19
leniency0.381
rawRatio0.083
effectiveRatio0.032
85.8090%