Run: 2026-09-03-01M1KZE7J7QP32F6DE0473R9D3

Run Details

Duration:
6m 56s
Cost:
$0.053004
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 turned the Camden arches into a sheet of black glass. Quinn watched the black coat swallow behind the old tube ticket hall, the hem shining where the rain had not reached. She pressed her palm to the badge at her waist and followed. Her boots slapped the wet cobbles. The worn leather watch on her left wrist tightened with every stride. She moved in counts, one two, three four, the rhythm from eighteen years of drills keeping her shoulders loose while the rain soaked her collar. The courier kept to the shadow line. He crossed puddles without slowing, hugging the arches where the streetlight failed, and the briefcase under his arm swung close to his body like a second spine. Quinn had chased men like him for three years after Morris. This one carried proof, or he carried something worse. The briefcase made him human enough to catch, if she could keep him between her and the dark. The ticket hall squatted under a dead arch. Plywood and wire covered its windows. A line of men and women stood in the rain, their shoulders hunched against the wind. They did not look at Quinn. They looked at the black plate on the wall beside the ticket machine, a plate the size of a man's palm, worn smooth at the edges. The courier stepped to the plate and touched it. The plate did not chime. It sucked the air in, and a seam appeared in the wall behind him. Quinn stopped at the edge of the line. The rain ran down her cropped salt-and-pepper hair, cold at her neck. In the inner pocket of her coat, a bone token lay against her ribs. She had pulled it from Morris's jacket after the canal, after the water had stopped moving and the medics argued over whether he had drowned or failed to return. The token had no chip, no engraving, no name. It fit her palm like a key cut for a lock she did not know. The courier did not wait. The seam opened enough for his shoulder, and he slipped inside. The line behind him shifted, but no one followed. The rain filled the gap where the door had been. "Right, then." A woman in a rubber coat stepped into Quinn's path. A cigarette split her face. She held a bone token in one hand and a paper cup of tea in the other. "You got a pass or a story?" Quinn took the token from her coat. The woman watched her fingers close around it. "I got a warrant." The woman glanced at the badge. "Warrants stop at the arch." "The step costs a token." Quinn did not hand the bone over. She pressed it to the black plate. The plate sucked the air. A hairline crack ran up the wall. The woman's tea cup rattled against her teeth. "You want my token back, love, you'll need to ask the market." The door opened onto stairs. The stairwell smelled of chalk, iron, and old paper. Quinn descended before the door could decide to close. The steps dropped into a vaulted Tube waiting room, the kind London had sealed decades ago. Tiles climbed the walls in faded blue and cream. A platform yawned beneath a single hanging lamp, and beyond the platform the darkness broke into shape: stalls, carts, rope lines, and faces. The Veil Market. It occupied the old station like a body wearing a building. Chalk boards listed prices in languages Quinn did not recognise. Glass jars held liquids that glowed the colour of bruised skin. A man sold names from a ledger on a wall shelf, and a crowd passed over his shoulder for whispers. A stall behind copper wire held vials with crossed-out symbols. The air moved with a low hum, watchful. Vendors shifted their wares when Quinn appeared. A woman in a green shawl moved a basket of salt and bone. A boy with a metal mask pushed a cart of oil lamps and curved around her. The courier stood at the far end of the platform, near a turnstile that had no gate. He faced the dark beyond the platform edge, his back to Quinn. His briefcase lay open on a bench, and inside, black cloth covered something that pulsed with a dull red light. Quinn kept her hand near her holster. Stalls went quiet. Hands closed on hooks and locks. A stall with rows of teeth in jars lost its customer. A vendor with ink-stained fingers lifted a glass of dark liquid to his mouth, but he did not drink. Tomás Herrera stepped from behind a cart of glass jars. Blood smudged his olive skin. A Saint Christopher medallion swung against his chest, and the scar along his left forearm pulled tight as he wiped his hands on a rag. He had lost his licence in this city, but the market called on him when the wrong kind of wound opened. "You brought the wrong coat." Tomás folded the rag into a square and tucked it into his pocket. "Where's the case from the canal?" Tomás wiped his thumb across his lower lip. "You think Morris is a bag you can carry here?" Quinn stopped three steps from him. "Who was he carrying?" A child cried behind the stalls. The hanging lamp swung and steadied. Tomás's warm brown eyes found the red glow on the bench, then returned to Quinn. "That thing is not evidence. It is a debt. If you touch it, the market writes you into the account." Quinn looked at the courier. He closed the briefcase and lifted it. The red light died under the black cloth. He turned. For a moment his face held nothing, no fear, no surprise. Then he moved toward the dark beyond the platform, where a rope line marked a passage and a chalk sign marked the full moon and one crossing. The market stirred. Vendors reached for doors, hooks, and locks. The woman in the green shawl gathered her salt and bone. The ink-stained vendor set his glass down. The boy with the mask backed toward the wall. The air hummed in a lower register, the sound of a train that was not coming. Quinn's hand closed on the badge. The brass had gone warm. Her radio crackled in her pocket and died. The file in her bag held names, no proof. In her empty coat pocket, the ghost of the token left a cold outline against her ribs. She had no second token. The market moved by rules that ignored the Metropolitan Police, and every step past the platform meant choosing a side. The courier reached the rope line. One hand touched the chalk sign. The sign flared white, and the dark beyond it opened. "The market lets you leave." Tomás stepped between Quinn and the bench. "Who left?" Quinn moved past the turnstile. The rope line bit her shoulder as she crossed, and the chalk sign burned a line of heat across the air behind her. Quinn stepped into the dark.
created_at"2026-09-03T15:50:43.534Z" 9/3/2026, 3:50:43 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency725
moderation_latency(null)
generation_time416118
tokens_prompt1104
tokens_completion19426
native_tokens_prompt1103
native_tokens_completion20602
native_tokens_completion_images(null)
native_tokens_reasoning19130
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)
usage0.053003875
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788450643-BYMMGR23b6sbdVAqNSe0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788450643-QoUby5BTE6S0KwSKps31"
upstream_id"chatcmpl-612563bb-5148-9a21-8412-739769a45972"
provider_responses
0
endpoint_id"255a02bd-df93-4ea7-bda9-44d4373aae18"
id"chatcmpl-612563bb-5148-9a21-8412-739769a45972"
is_byokfalse
latency724
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"Alibaba"
status200
total_cost0.053003875
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)
wordCount1180
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)
95.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1180
totalAiIsms1
found
0
word"pulsed"
count1
highlights
0"pulsed"
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
narrationSentences100
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences100
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences113
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1180
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
63.08% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount1093
uniqueNames13
maxNameDensity1.74
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden1
Morris2
Quinn19
Tube1
London1
Veil1
Market1
Herrera1
Saint1
Christopher1
Metropolitan1
Police1
Tomás5
persons
0"Camden"
1"Morris"
2"Quinn"
3"Market"
4"Herrera"
5"Saint"
6"Christopher"
7"Tomás"
places
0"London"
globalScore0.631
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences85
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1180
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences113
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean28.78
std28.4
cv0.987
sampleLengths
044
177
238
390
487
535
62
732
87
915
104
116
125
135
1434
1512
165
1766
183
19106
2049
2146
2261
235
2413
256
268
2710
286
294
3027
3120
3260
3353
3470
3522
365
377
382
3928
405
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences100
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs169
matches
0"was not coming"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences113
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1098
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.00819672131147541
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences113
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences113
mean10.44
std6.16
cv0.59
sampleLengths
011
121
212
36
412
525
67
727
811
99
1018
118
126
1316
146
1526
169
175
1814
198
2012
2114
2229
239
2415
255
2611
279
2810
292
3010
315
3217
337
347
358
364
376
385
395
407
417
425
437
448
4512
465
479
489
4916
35.84% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.2743362831858407
totalSentences113
uniqueOpeners31
33.67% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences99
matches
0"Then he moved toward the"
ratio0.01
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences99
matches
0"She pressed her palm to"
1"Her boots slapped the wet"
2"She moved in counts, one"
3"He crossed puddles without slowing,"
4"They did not look at"
5"They looked at the black"
6"It sucked the air in,"
7"She had pulled it from"
8"It fit her palm like"
9"She held a bone token"
10"She pressed it to the"
11"It occupied the old station"
12"He faced the dark beyond"
13"His briefcase lay open on"
14"He had lost his licence"
15"He closed the briefcase and"
16"Her radio crackled in her"
17"She had no second token."
ratio0.182
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount93
totalSentences99
matches
0"Quinn watched the black coat"
1"She pressed her palm to"
2"Her boots slapped the wet"
3"The worn leather watch on"
4"She moved in counts, one"
5"The courier kept to the"
6"He crossed puddles without slowing,"
7"Quinn had chased men like"
8"This one carried proof, or"
9"The briefcase made him human"
10"The ticket hall squatted under"
11"Plywood and wire covered its"
12"A line of men and"
13"They did not look at"
14"They looked at the black"
15"The courier stepped to the"
16"The plate did not chime."
17"It sucked the air in,"
18"Quinn stopped at the edge"
19"The rain ran down her"
ratio0.939
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences99
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount1
matches
0"Glass jars held liquids that glowed the colour of bruised skin."
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
87.6119%