Run: 2026-09-02-01M1HA427SF6JVATNARB8NVTHD

Run Details

Duration:
5m 1s
Cost:
$0.075430
Provider:
Alibaba

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 stitched the green neon of the Raven's Nest sign into the wet brick. Detective Harlow Quinn stood inside the doorway of a shuttered betting shop and watched the bar through the downpour. Water ran from the ends of her cropped salt-and-pepper hair. Her worn leather watch sat on her left wrist, the strap dark with damp. Across the street, the bar's window held a dim gold square. Behind it, old maps and black-and-white photographs crowded the walls like listeners. The man in the grey coat came out from behind the bookshelf she had marked. He carried a parcel wrapped in oilcloth under one arm. He touched the collar at his throat, checked the room, then pushed through the front door. Quinn left the doorway. "Police. Keep your hands where I can see them." The man's eyes flicked to her badge, then to the alley beside the bar. He bolted. Quinn moved before the word finished leaving her mouth. Her boots slapped the wet pavement. The man shouldered past a couple beneath a shared umbrella. The umbrella flipped, spilling rain over the woman's coat. The man did not stop. Quinn cut through the splash of a passing taxi and gained two steps. He turned onto Frith Street. A delivery van blocked the mouth of the road. He squeezed between the van and a pile of black bags, scraped the oilcloth parcel against brick, and kept going. Quinn's hand brushed the van's mirror. She yanked herself around the rear doors. The man reached the end of the street and looked back. His face had no panic in it. That worried her. She pulled her radio from her belt. "Suspect on foot, heading north from Soho. Grey coat, oilcloth parcel." Static answered. Rain had turned the city into a hiss of interference. The man crossed Shaftesbury Avenue against the lights. A bus horned. He slipped between two black cabs and vanished into the dark gap beyond. Quinn ran into the road. Horns split around her. She saw the grey coat catch the red of a brake light, then swallow into a side street. Her lungs heated. Her boots found slick leaves and grease. She did not slow. Three years of dead ends had given her patience. This chase required teeth. At the corner, she stopped. Two streets branched. One led toward Tottenham Court Road. The other sloped downward into a narrower dark. A discarded paper cup rocked in the gutter, pushed by water. She took the downward street. The grey coat flashed at the far end. Quinn ran. The rain thickened. Shopfronts became shuttered metal mouths. The street climbed again, then spilled onto Camden High Street. Neon bled across puddles. The man shoved through a knot of people outside a kebab shop. Someone shouted. He vaulted a low railing and landed on the pavement beside an old Tube entrance. The roundel above it hung crooked, its paint blistered. Dust blinded the ticket windows. The station had given up its trains. He did not go for the street door. He went to a service gate set in tiled brick. A small panel slid aside. Light touched his face. He held up a pale disc. Quinn crossed the road. A motorcycle horned. She kept going. The gate opened. The man slipped through. Quinn hit the gate with her shoulder. It held. Through the bars she saw a stairwell descending beneath the station. The walls carried old posters peeled to bone white. At the bottom stood a broad man in a porter's coat, one hand resting on a short iron bar. The suspect passed him without stopping. Quinn flashed her warrant card through the bars. "Metropolitan Police. Open this gate." The porter did not move. "Token." "This is a police matter." "Token." She gripped the bars. Below, the stairwell breathed out a smell of wet stone, burned sugar, and iron. Voices rose from the dark in fragments: a woman counting coins, a child chanting in a language she did not know, the clink of glass. Somewhere deeper, a drumbeat kept a slow pulse. A shape moved in the alcove beside the gate. Tomás Herrera stepped into the weak streetlight, a battered medical bag in one hand. His Saint Christopher medallion lay against his shirt, dull with rain. The scar along his left forearm showed white where his sleeve rode up. He looked at Quinn, then at the gate. "You followed a thief to the Market." Quinn turned her body toward him. "You know him." "I know the coat. It has been inside the Nest two nights running." "Then help me stop him." Tomás set his medical bag on the wet pavement and opened it. Gauze, vials, and a small brass knife case sat inside. He took out a square of cloth and pressed it to a cut above the porter's eyebrow. The porter let him work. "The Veil Market moved under Camden for the full moon. It won't stay. If you want to make an arrest, come back with a warrant and a map that agrees with the moon." "He has evidence connected to a dead officer." Tomás's hands paused. The porter's eye shifted. "Which officer?" Rain ran down Quinn's jaw. "DS Morris." Tomás pressed his thumb into the gauze. The porter's jaw tightened. "Morris came to places like this. He went down with questions. The Market gave him back to no one." "That makes it my ground." "It makes it a grave." Quinn looked at the gate. The suspect had vanished below. The parcel under his arm could hold ledgers, names, or the kind of banned alchemical substances that left scorch marks in mortuary photos. If she called for backup, the market would fold into tunnels and leave her with rain and rust. If she went in, she crossed into a place that did not recognize her badge. Tomás closed his bag. "You don't have a token." "Get me one." "These gates take bone, not brass." "I said get me one." He studied her. Water dripped from his dark curls onto the collar of his jacket. The Saint Christopher medallion caught a smear of streetlight. He reached beneath his shirt and drew out a second token on a leather cord. Someone had carved it from yellowed bone, thin as a train ticket, and etched a raven holding a key. "This belonged to a man who paid me to keep his wounds quiet. He owed more than money." Quinn held out her hand. "Name your price." "Bring a paramedic out if you find one bleeding in there." "That's not a price." "It is mine." He dropped the token into her palm. It carried his warmth and a faint smell of antiseptic. Quinn turned to the gate. "Open." The porter looked at the token. He lifted the iron bar and unlocked a narrow door set within the larger gate. The hinges gave a low groan. The stairwell swallowed the streetlight after three steps. Quinn put her hand on the bone token. "Stay out of the vendors' arguments. If you see a stall selling silver mirrors, walk past. If someone offers your name in a bottle, don't answer." "And the suspect?" "He'll head for the book stalls. Men with stolen paper always do." Quinn stepped through the gate. The porter took the token from her fingers, examined it, and returned it. She pocketed it. "You owe the Market a guest fee now." The porter's palm turned upward. "Blood, coin, or secret." Quinn looked down into the dark. The drumbeat grew louder. A green lantern swayed at the bottom of the stairs, lighting tiles covered in chalk sigils. The smell of burned sugar thickened. "I'll pay when I find the man in the grey coat." The porter shrugged. "They all say that." Quinn descended.
created_at"2026-09-02T14:59:41.45Z" 9/2/2026, 2:59:41 PM
model"qwen/qwen3.8-max-20260803"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1314
moderation_latency(null)
generation_time300726
tokens_prompt1104
tokens_completion12446
native_tokens_prompt1103
native_tokens_completion12204
native_tokens_completion_images(null)
native_tokens_reasoning10489
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)
usage0.07543
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788361181-5uNtMnVnBpyi61CHt0rH"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788361181-dlv40Grkv0GHf6WIXvRX"
upstream_id"chatcmpl-4a07b67d-0091-9ac8-805b-f3f8f90f618f"
provider_responses
0
endpoint_id"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id"chatcmpl-4a07b67d-0091-9ac8-805b-f3f8f90f618f"
is_byokfalse
latency1314
model_permaslug"qwen/qwen3.8-max-20260803"
provider_name"Alibaba"
status200
total_cost0.07543
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1296
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)
76.85% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1296
totalAiIsms6
found
0
word"flicked"
count1
1
word"pulse"
count1
2
word"eyebrow"
count1
3
word"grave"
count1
4
word"etched"
count1
5
word"warmth"
count1
highlights
0"flicked"
1"pulse"
2"eyebrow"
3"grave"
4"etched"
5"warmth"
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
narrationSentences125
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences125
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences159
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1296
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
53.38% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount1035
uniqueNames19
maxNameDensity1.93
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Harlow1
Quinn20
Frith1
Street2
Shaftesbury1
Avenue1
Tottenham1
Court1
Road1
Camden1
High1
Tube1
Herrera1
Saint2
Christopher2
Rain3
Tomás5
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Herrera"
5"Saint"
6"Christopher"
7"Rain"
8"Tomás"
places
0"Frith"
1"Street"
2"Shaftesbury"
3"Avenue"
4"Tottenham"
5"Court"
6"Road"
7"Camden"
8"High"
globalScore0.534
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences77
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1296
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences159
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs73
mean17.75
std20.16
cv1.135
sampleLengths
080
141
24
39
416
552
668
77
811
912
1051
1127
1238
138
142
1572
1633
1710
187
1954
208
215
225
231
245
251
2651
2755
287
296
303
3113
325
3344
3433
358
367
372
385
392
4011
4119
425
435
4466
454
465
473
486
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences125
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs177
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences159
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1039
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.011549566891241578
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences159
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences159
mean8.15
std5.45
cv0.669
sampleLengths
014
119
210
314
411
512
615
710
816
94
109
1114
122
139
146
1510
169
175
1813
195
209
2120
226
237
2411
257
263
277
2811
292
3010
318
323
3313
345
354
3618
373
387
394
409
414
425
433
446
458
4611
475
488
492
48.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.3270440251572327
totalSentences159
uniqueOpeners52
28.01% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences119
matches
0"Somewhere deeper, a drumbeat kept"
ratio0.008
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences119
matches
0"Her worn leather watch sat"
1"He carried a parcel wrapped"
2"He touched the collar at"
3"Her boots slapped the wet"
4"He turned onto Frith Street."
5"He squeezed between the van"
6"She yanked herself around the"
7"His face had no panic"
8"She pulled her radio from"
9"He slipped between two black"
10"She saw the grey coat"
11"Her lungs heated."
12"Her boots found slick leaves"
13"She did not slow."
14"She took the downward street."
15"He vaulted a low railing"
16"He did not go for"
17"He went to a service"
18"He held up a pale"
19"She kept going."
ratio0.252
14.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount106
totalSentences119
matches
0"Rain stitched the green neon"
1"Detective Harlow Quinn stood inside"
2"Water ran from the ends"
3"Her worn leather watch sat"
4"The man in the grey"
5"He carried a parcel wrapped"
6"He touched the collar at"
7"Quinn left the doorway."
8"The man's eyes flicked to"
9"Quinn moved before the word"
10"Her boots slapped the wet"
11"The man shouldered past a"
12"The umbrella flipped, spilling rain"
13"The man did not stop."
14"Quinn cut through the splash"
15"He turned onto Frith Street."
16"A delivery van blocked the"
17"He squeezed between the van"
18"Quinn's hand brushed the van's"
19"She yanked herself around the"
ratio0.891
84.03% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences119
matches
0"If she called for backup,"
1"If she went in, she"
ratio0.017
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
90.1706%