Run: 2026-02-25-01KJBDJ2AJMD4ABNWCJZF7B4BN

Run Details

Duration:
38.6s
Cost:
$0.001609
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 fell like nails driven into the wet tarmac of the Camden high street. Harlow Quinn drove her body through the deluge. Her soaked wool coat dragged against her thighs, heavy with the weight of water. Rainwater ran down the sharp line of her jawline, stinging her brown eyes. She ignored the burn. The leather strap of her watch bit into her left wrist, a familiar anchor in the chaos. A shape darted ahead. Dark curly hair. Olive skin fading into the shadows of the tunnel entrance. Tomás. Harlow broke into a run again. Her boots slapped against puddles. Sirens wailed in the distance, a dull thrum that failed to bridge the gap between the police and this street. The suspect turned into a narrow alleyway between brick buildings. Harlow rounded the corner, breath fogging in the cold air. Stop. The word came out ragged. Her voice cut through the drumming rain. Tomás stood beneath a dripping fire escape. He didn't turn around. He lifted a wrist, revealing a glint of silver against the dark skin. A saint Christopher medallion swung in the gloom. You are dead last, Harlow thought. She saw the mark on his left forearm. A knife scar. White against olive. He spun on his heel. Water dripped from the tips of his hair. You lost, Detective. Your partner is dead, Tomás. Tomás stepped back toward the iron grating of the tube station. One hand hovered over a pocket in his jacket. Don't say that name here. You know the rules. I know a crime when I see one. I see the clique paying you to patch them up. I save lives. The rules don't care about your warrant. Harlow took a step forward. The metal grating hummed in the wind tunnel. A hidden entrance. She had followed the dossier for months. The maps in the safe back at the station had pointed here, to this abandoned station beneath Camden. Why are you running? He didn't answer. He reached into the pocket. His fingers closed around something hard and organic. Bone. Small, bleached white, carved with strange symbols. Harlow froze. She saw it. The token. If you want this, you come in here. The voice dropped lower. The rain masked the sound. Tomás held out the token. I don't want your junk. I want the list. The names. Tomás tilted his head. Rain ran from the curve of his ear. The streetlights reflected in his warm brown eyes. They aren't names. They are numbers. Then give them to me. He laughed. It was a dry, brittle sound. He stepped back into the shadows of the station entrance. The iron grate groaned as he slid it open. It opens for the bone. Not the badge. Harlow looked at her badge clipped to her belt. It gleamed under the flickering sodium light. She looked at Tomás. Then she looked into the mouth of the station. Darkness swallowed the light. The smell drifted up from below. Old earth and ozone. I don't need a trick of the light, Tomás. She lunged. Her hands shot out to grab his shoulder. He moved like a ghost. His elbow struck her rib. Pain flared hot and sharp. She grunted and stumbled. Her heel skidded on wet stone. She recovered quickly. He stood inside the station mouth. You can't go in. Not with me. I went in for Morris once. Tomás went still. The air grew heavier. Don't talk about Morris. Your partner fell into the abyss. He did. And you didn't get the truth. Harlow wiped the rain from her eyes. Her fingers were numb. She gripped the collar of her coat. The decision hung in the silence between the raindrops. Two paths lay before her. The dry street, the safety of the squad cars outside, the legal process. Or the dark mouth of the tube. The place where the rules broke down. The Veil Market. She knew the stories. Banned alchemy. Enchanted goods. Tomás held the bone token up. It glowed faintly. Bioluminescence from deep within the marrow. The market doesn't care about your badge. I want the truth. It costs. The cost of truth is blood. She looked at his face. The scar on his arm twitched. She remembered the file on her desk. DS Morris. The unexplained circumstances. Three years of nightmares. Harlow reached for her utility belt. She pulled her flashlight. Beamed it into the dark. The light died in the water below. No bottom seemed to exist. Give me the name. Tomás shook his head. You don't understand what lives down there. You see the things you want to see. The things you want. She gripped the handle of her flashlight so hard the plastic creaked. I know enough. She took another step. The water on the steps dipped. She didn't look down. She looked directly into his eyes. Come with me. Or stay here and rot in this rain. Tomás looked at the street behind her. Sirens grew louder. The police were coming. The sirens cut through the air. They will never find you down there, Harlow. That is why I am going. She turned her back on the street. She looked back at the entrance. The token floated in his hand. It pulsed with a slow, rhythmic light. Harlow stepped forward. Wait. She turned. I can't tell you how to get inside. You find another way. She scanned the darkness. A grate on the side. A pipe running along the brick. There is always a way. Tomás stepped out of the light. Do it. And leave me out of it. I already did. Harlow turned back to the station entrance. Her hand hovered over the grate. The metal felt cold through her leather glove. The darkness beckoned. She thought of the maps in the office. The black-and-white photos covering the walls of the Nest. This was it. The hidden room. The beginning of the end. She looked back at Tomás one last time. You're the only link to Morris. Don't think I've forgotten. I am not him. She didn't answer. She reached out and grabbed the cold iron of the grate. It shifted under her grip. A heavy sound. The sound of locks. She pulled. The gate swung open. The wind from the depths hit her face. It smelled of ozone and rot. Harlow looked at the bone token in Tomás's hand, then at the darkness of the station. She knew the danger. She knew the risk. She looked at her watch. The leather strap creaked as she adjusted her grip. She would go in.
created_at"2026-02-25T22:08:52.055Z" 2/25/2026, 10:08:52 PM
model"qwen/qwen3.5-flash-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency505
moderation_latency(null)
generation_time38568
tokens_prompt1140
tokens_completion4053
native_tokens_prompt1066
native_tokens_completion3757
native_tokens_completion_images(null)
native_tokens_reasoning2265
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0016094
router(null)
provider_responses
0
endpoint_id"5f6b71b5-8672-4b27-8b2d-f674429f9e63"
id"chatcmpl-96a10949-8931-9dc3-a475-2723661b09e9"
is_byokfalse
latency505
model_permaslug"qwen/qwen3.5-flash-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772057332-kjOMlrT6ntBnR7wn5xGf"
upstream_id"chatcmpl-96a10949-8931-9dc3-a475-2723661b09e9"
total_cost0.0016094
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.45% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1099
totalAiIsmAdverbs1
found
0
adverb"quickly"
count1
highlights
0"quickly"
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)
59.05% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1099
totalAiIsms9
found
0
word"weight"
count1
1
word"familiar"
count1
2
word"glint"
count1
3
word"gloom"
count1
4
word"silence"
count1
5
word"pulsed"
count1
6
word"rhythmic"
count1
7
word"scanned"
count1
8
word"depths"
count1
highlights
0"weight"
1"familiar"
2"glint"
3"gloom"
4"silence"
5"pulsed"
6"rhythmic"
7"scanned"
8"depths"
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
narrationSentences191
matches(empty)
75.54% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount8
hedgeCount1
narrationSentences191
filterMatches
0"watch"
1"know"
2"know see"
3"see"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences191
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen20
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1099
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
81.76% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions51
wordCount1099
uniqueNames12
maxNameDensity1.36
worstName"Tomás"
maxWindowNameDensity2.5
worstWindowName"Tomás"
discoveredNames
Camden2
Quinn1
Christopher1
Harlow13
Detective1
Tomás15
Morris4
Veil1
Market1
Nest1
You8
Don3
persons
0"Quinn"
1"Christopher"
2"Harlow"
3"Tomás"
4"Morris"
5"Market"
6"You"
places(empty)
globalScore0.818
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences88
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1099
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences191
matches
0"say that name"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs77
mean14.27
std13.63
cv0.955
sampleLengths
070
118
231
320
41
512
632
720
813
93
105
1120
129
1318
1410
1541
164
1724
187
198
2014
2111
2220
236
245
2527
268
2743
289
2910
3034
317
326
337
344
356
368
3759
383
398
4015
417
424
432
446
4527
4627
474
484
4919
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences191
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs197
matches
0"were coming"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences191
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1101
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.019981834695731154
lyAdverbCount5
lyAdverbRatio0.004541326067211626
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences191
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences191
mean5.75
std3.13
cv0.544
sampleLengths
014
18
214
313
44
517
64
73
810
91
106
115
1220
1310
1410
151
165
177
187
194
2013
218
226
238
243
253
265
278
283
295
3011
319
325
334
348
3510
363
377
385
398
403
417
4218
434
443
455
468
471
487
492
40.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats19
diversityRatio0.25654450261780104
totalSentences191
uniqueOpeners49
57.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences174
matches
0"Dark curly hair."
1"Then give them to me."
2"Then she looked into the"
ratio0.017
45.29% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount76
totalSentences174
matches
0"Her soaked wool coat dragged"
1"She ignored the burn."
2"Her boots slapped against puddles."
3"Her voice cut through the"
4"He didn't turn around."
5"He lifted a wrist, revealing"
6"You are dead last, Harlow"
7"She saw the mark on"
8"He spun on his heel."
9"You lost, Detective."
10"Your partner is dead, Tomás."
11"You know the rules."
12"I know a crime when"
13"I see the clique paying"
14"I save lives."
15"She had followed the dossier"
16"He didn't answer."
17"He reached into the pocket."
18"His fingers closed around something"
19"She saw it."
ratio0.437
37.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount147
totalSentences174
matches
0"Rain fell like nails driven"
1"Harlow Quinn drove her body"
2"Her soaked wool coat dragged"
3"Rainwater ran down the sharp"
4"She ignored the burn."
5"The leather strap of her"
6"A shape darted ahead."
7"Olive skin fading into the"
8"Harlow broke into a run"
9"Her boots slapped against puddles."
10"The suspect turned into a"
11"Harlow rounded the corner, breath"
12"The word came out ragged."
13"Her voice cut through the"
14"Tomás stood beneath a dripping"
15"He didn't turn around."
16"He lifted a wrist, revealing"
17"A saint Christopher medallion swung"
18"You are dead last, Harlow"
19"She saw the mark on"
ratio0.845
28.74% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences174
matches
0"If you want this, you"
ratio0.006
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
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
87.3645%