Run: 2026-02-25-01KJBG4P7F59NE0SAVC063D802

Run Details

Duration:
18.2s
Cost:
$0.005939
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 sheeted down the London streets, turning the asphalt into a slick mirror reflecting the amber glow of streetlights. Harlow Quinn ran with the precision of a machine that had forgotten how to fatigue. Her boots hit puddles with heavy splashes, water soaking through the cuffs of her coat. She tracked the silhouette ahead. A dark shape darting between the parked vans, moving with a confidence that bordered on arrogance. Tomás Herrera slipped into the shadow of a alleyway and stopped. He waited, shoulders hunched, the collar of his leather jacket flaring in the wind. The Saint Christopher medallion on his chest caught the flickering light, a dull silver glint against the olive skin of his neck. He wiped rain from his face, leaving streaks of grime. Quinn skidded to a halt a dozen yards away. Her breath hammered against her ribs. The smell of ozone mixed with the exhaust fumes of idling taxis. She didn't shout. She didn't need to. The distance between them closed with the rain. "You think you can outrun the Met, Tommy?" Her voice cut through the downpour. "Not even the streets own you." Tomás turned. His warm brown eyes held no fear, only a weary calculation. He checked the watch on his wrist, then the one on Harlow's left wrist. Both hands moved in unison, a synchronized check of time in a city that refused to slow down. "Rain washes away tracks, Detective. Doesn't help you catch the ghost," Tomás replied. He gestured toward the rusted iron gate marking the entrance to the abandoned Tube station beneath Camden. Harlow took a step forward. Her boots splashed through a puddle. "That entrance is closed. I saw the sign three weeks ago. Maintenance." "Someone bought maintenance," Tomás said. He pulled a bone token from his pocket. It gleamed with an unnatural luminescence in the dark, pulsing with a faint, sickly light. He held it up. "Entry required." Harlow’s hand hovered over her service weapon. The leather of her watch strap stretched as she raised her arm. She didn’t draw. The weapon weighed nothing compared to the weight of the decision forming in her gut. "Where is the clique?" she asked. "You know they’re moving product. You know they’re hiding something in that station." "Information sells for more than a badge, Harlow." He tossed the token into the air. It didn't fall. It hovered for a heartbeat before vanishing into the darkness of the gate. The iron bars shimmered and dissolved into mist. The air inside the station was different. Cold. Dry. It smelled of dust and something older, like wet earth after an earthquake. The faint hum of electricity drifted up from below, a vibration that rattled Harlow’s teeth. Harlow stepped up to the threshold. The mist swirled around her ankles. She looked down at her badge clipped to her belt. It was steel and blue light, useless against whatever lay below. "You’re a medic, Tommy. Or you were." She tilted her head. "Why are you here?" "Because people die when you chase them into the light." Tomás didn’t blink. "The Veil Market doesn't care about your jurisdiction. They don't care about Morris." The name hung in the air. Harlow flinched. Her grip on her gun tightened. Three years. Three years since the alley behind the docks. Three years since the partner she couldn’t call home. She didn't breathe for a second. The heat of the memory burned in her throat. "I don't care about Morris," Harlow lied. Her voice remained level. "I care about the money. The drugs. The bodies." "Those bodies belong to the market," Tomás said. He took a step back into the street. "You cross that line, you leave the world of cause and effect. Do you know what happens to cops who try to investigate this place?" "Bad things." Harlow scanned the dark tunnel. Shadows moved deeper within. Shapes that didn't belong to the geometry of the station. "I've seen bad things before." "This isn't the past." Tomás pulled his jacket tighter. "This is the present. And you are not equipped." Harlow looked at the bone token still lying on the wet pavement at the gate's edge. It had fallen back to earth, the light dimming to a dull grey. She reached down and picked it up. It was cold. Bone from a creature she hadn't identified. She checked the watch again. 11:42 PM. The full moon hung high, obscured by the clouds but exerting its pull anyway. The schedule moved locations every full moon. If she followed him now, the market would shift before she could even step inside. "I need a name," Harlow said. "Just one." Tomás shook his head. He pointed to the entrance. "Go in there, and you lose yourself. Go back to the street, and you stay human. That's the offer." Harlow squeezed the bone. It crunched slightly under her palm. She could hear the chatter from below. Voices overlapping, trading secrets, currency, and blood. The silence of the street suddenly felt heavier than the noise down there. "If I go down," she said, "I come up." "Not alone." Harlow turned back toward the road. The rain continued to drum against the cobblestones. She could hear the distant wail of a siren, then fade. The city slept elsewhere. Here, the monsters woke. She looked back at the dissolving gate. The mist thickened, swallowing the iron bars completely. "Tomás." He paused. "Go to hell, Quinn." He turned and vanished into the night. Harlow stood at the edge of the abyss. The cold from the tunnel seeped into her coat. She looked down at the bone in her hand, then up at the streetlights flickering above. The decision rested in the weight of her feet. One step forward into the unknown. One step back to the safe, sterile precincts of the Met. She clenched the bone until it pierced her skin. A drop of blood welled, bright red against the grey stone. The scent of copper filled her nose. The siren returned, closer this time. Red lights flashed across the wet pavement, reflecting off the puddles. Quinn lifted the bone. She looked at the entrance one last time. The hum of the station grew louder. She took the step.
created_at"2026-02-25T22:53:59.413Z" 2/25/2026, 10:53:59 PM
model"qwen/qwen3.5-35b-a3b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency491
moderation_latency(null)
generation_time18121
tokens_prompt1140
tokens_completion3064
native_tokens_prompt1066
native_tokens_completion2836
native_tokens_completion_images(null)
native_tokens_reasoning1441
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"
usage0.0059385
router(null)
provider_responses
0
endpoint_id"48c1210f-b7d2-4688-a340-f7424fc99d2b"
id"chatcmpl-1047593c-b18d-9aa6-9c14-de2730e7cb89"
is_byokfalse
latency490
model_permaslug"qwen/qwen3.5-35b-a3b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772060039-hD45IBaRLbKCjOkzlu9j"
upstream_id"chatcmpl-1047593c-b18d-9aa6-9c14-de2730e7cb89"
total_cost0.0059385
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences28
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
85.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1041
totalAiIsmAdverbs3
found
0
adverb"slightly"
count1
1
adverb"suddenly"
count1
2
adverb"completely"
count1
highlights
0"slightly"
1"suddenly"
2"completely"
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)
66.38% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1041
totalAiIsms7
found
0
word"glint"
count1
1
word"synchronized"
count1
2
word"weight"
count2
3
word"shimmered"
count1
4
word"scanned"
count1
5
word"silence"
count1
highlights
0"glint"
1"synchronized"
2"weight"
3"shimmered"
4"scanned"
5"silence"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences107
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences107
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences122
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1041
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
66.27% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount836
uniqueNames12
maxNameDensity1.67
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Harlow"
discoveredNames
London1
Quinn3
Herrera1
Saint1
Christopher1
Tomás8
Harlow14
Tube1
Camden1
Shadows1
Met1
Three3
persons
0"Quinn"
1"Herrera"
2"Saint"
3"Christopher"
4"Tomás"
5"Harlow"
6"Shadows"
places
0"London"
globalScore0.663
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1041
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences122
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean28.14
std16.58
cv0.589
sampleLengths
070
157
242
320
445
530
623
734
837
919
1039
1137
1233
1315
1426
1548
1620
1741
1826
1918
2046
2143
228
2328
2437
259
262
2733
2815
291
306
317
3259
3327
3417
3519
364
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences107
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs142
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences122
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount836
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.023923444976076555
lyAdverbCount5
lyAdverbRatio0.005980861244019139
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences122
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences122
mean8.53
std4.74
cv0.556
sampleLengths
019
115
215
35
416
511
614
722
810
99
106
1112
123
134
148
1514
166
172
1811
1914
2018
2113
2217
235
246
2512
265
278
2815
294
302
317
3212
333
3415
356
3613
3715
383
3913
408
417
421
431
4413
4515
466
476
4810
4911
45.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.319672131147541
totalSentences122
uniqueOpeners39
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences93
matches(empty)
ratio0
43.66% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences93
matches
0"Her boots hit puddles with"
1"She tracked the silhouette ahead."
2"He waited, shoulders hunched, the"
3"He wiped rain from his"
4"Her breath hammered against her"
5"She didn't shout."
6"She didn't need to."
7"Her voice cut through the"
8"His warm brown eyes held"
9"He checked the watch on"
10"He gestured toward the rusted"
11"Her boots splashed through a"
12"He pulled a bone token"
13"It gleamed with an unnatural"
14"He held it up."
15"She didn’t draw."
16"He tossed the token into"
17"It didn't fall."
18"It hovered for a heartbeat"
19"It smelled of dust and"
ratio0.441
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount86
totalSentences93
matches
0"Rain sheeted down the London"
1"Harlow Quinn ran with the"
2"Her boots hit puddles with"
3"She tracked the silhouette ahead."
4"A dark shape darting between"
5"Tomás Herrera slipped into the"
6"He waited, shoulders hunched, the"
7"The Saint Christopher medallion on"
8"He wiped rain from his"
9"Quinn skidded to a halt"
10"Her breath hammered against her"
11"The smell of ozone mixed"
12"She didn't shout."
13"She didn't need to."
14"The distance between them closed"
15"Her voice cut through the"
16"His warm brown eyes held"
17"He checked the watch on"
18"Both hands moved in unison,"
19"He gestured toward the rusted"
ratio0.925
53.76% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences93
matches
0"If she followed him now,"
ratio0.011
98.21% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount2
matches
0"A dark shape darting between the parked vans, moving with a confidence that bordered on arrogance."
1"The faint hum of electricity drifted up from below, a vibration that rattled Harlow’s teeth."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"Harlow lied (lie)"
dialogueSentences28
tagDensity0.25
leniency0.5
rawRatio0.143
effectiveRatio0.071
85.2984%