Run: 2026-04-27-01KQ76W64G2CPYRBPW2S2HH4Y1

Run Details

Duration:
36.6s
Cost:
$0.009701
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 hammered the tarmac in relentless sheets. Harlow Quinn drove her boots into the puddles, water spraying past her shins. Her worn leather watch bit into her left wrist with every swing of her arm. Eighteen years in the service etched itself into her stride, military precision cutting through the chaos of Soho. She kept her eyes locked on the dark shape ahead. The suspect scrambled over a wrought iron fence, metal groaning under his weight. He landed hard on the opposite sidewalk and kept moving. Quinn vaulted the fence without breaking pace. Glass from a shattered storefront scattered across her path. She stepped over the shards. Her sharp jaw tightened. Three years since Morris vanished. Three years of unanswered questions and cold leads. She refused to let another case dissolve in the rain. The suspect ducked into a narrow alley. Quinn followed. Brick walls pressed in on both sides. Pigeons exploded into the air, wings slapping against damp stone. The runner spun around, chest heaving. He reached for his coat. Quinn drew her service weapon. The barrel stayed level. She raised her free hand. "You can drop it." Her voice cut through the storm. "Hands where I can see them." The suspect froze. Rain plastered his dark hair to his forehead. He slowly raised his palms. He backed away until his shoulders hit a rusted dumpster. "I told you to lose me." His voice cracked against the drumming rain. "You follow too tight." Quinn did not lower the weapon. She adjusted her grip. "I always follow tight." She tightened her fingers on the grip. "Turn around. Walk past me. Keep your hands visible." He turned. Water streamed down his pale neck. His eyes darted toward a grated opening at the rear of the passage. He broke into a sprint. Quinn lunged. Her fingers grazled his coat. He threw his weight forward, slipping through a gap between two brick walls. She followed. The alley opened onto a rain-slicked courtyard. Puddles mirrored the flickering streetlights. A delivery van idled near the gate. No other exits. She climbed the chain link fence. The metal bit into her palms. Rain watered down her closely cropped salt and pepper hair. She landed on the dirt side and kept moving. The runner sprinted down a service road. Buildings leaned overhead, creating a tunnel of shadow and dripping pipes. He reached a set of concrete stairs leading downward. He took them two at a time. Quinn followed. Her breathing stayed even. The drop in temperature hit her like a physical wall. Damp air rose from below, carrying the scent of wet concrete and old copper. The stairs ended at a landing. Rotting wood planks formed a makeshift bridge over a dark tunnel. A faded sign hung from a rusted hook. Camden Town. Closed. The tunnel opened into the skeleton of an underground station. Concrete pillars supported a cracked dome. Vines choked the ticket barriers. Cracked tiles covered the floor. The runner moved quickly through the shadows, heading toward a heavy iron door set into the eastern wall. Quinn kept her gun ready. She stepped onto the bridge. Wood groaned. The runner stopped. He turned slowly. He raised his empty hands toward the tunnel. "You should turn back." His eyes swept the crumbling ceiling. "This place does not like visitors." Quinn advanced. Her boots made no sound on the wet planks. "I do not have visitors on my list." She kept her stance wide. "Step away from the door." He laughed. The sound echoed off the damp tiles. "You think this is a shop?" He pointed to the iron door. "It is a threshold. You need a token. A bone." Quinn stopped. Her eyes tracked the runner. "What kind of bone?" He tapped his chest. "Anything that used to hold a life. Mine, if you want." Quinn holstered the piece. She stepped closer. Her radio crackled. Static hissed. Chief Inspector Vance requested an immediate status update. She cut the channel. The silence returned, heavier than before. She opened her coat. Her fingers brushed the leather case against her ribs. She pulled it out. Inside lay a single ivory-colored object. A femur head. She had found it three weeks ago on Morris’s desk. The case file contained nothing but unanswered questions. She traced the smooth surface. The grain aligned perfectly with the slot in the door. "The door does not care about your badge," the runner said. "It cares about weight." Quinn aligned the bone with the opening. She pushed. Metal grinded. A heavy click echoed through the station. The iron door swung inward. Warm air washed over her. The smell of ozone and dried herbs replaced the damp concrete. She stepped onto the threshold. The room beyond stretched into darkness. Flickering light revealed rows of wooden crates and hanging glass vials. Figures moved in the shadows. She counted six. Seven. All facing inward. None noticed her yet. The runner slipped past her shoulder and vanished into the crowd. Quinn checked her magazine. Twelve rounds. She holstered the gun. She adjusted her collar. Her boots crunched on broken glass. She took one step forward. The air pressure dropped. The temperature stabilized. A low hum vibrated through the floorboards. She looked at the darkened path ahead. She looked back at the rain outside. The decision settled in her chest. Her muscles coiled. She shifted her weight to the balls of her feet. She stepped across the line. The door began to close behind her. She did not look back. She kept walking. The hum grew louder. Shadows detached themselves from the walls. The figures turned. Quinn raised her chin. She kept her pace steady. She entered.
created_at"2026-04-27T10:13:34.998Z" 4/27/2026, 10:13:34 AM
model"qwen/qwen3.6-flash"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency600
moderation_latency(null)
generation_time36522
tokens_prompt1140
tokens_completion7189
native_tokens_prompt1065
native_tokens_completion6290
native_tokens_completion_images(null)
native_tokens_reasoning5068
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"
usage0.00970125
router(null)
provider_responses
0
endpoint_id"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id"chatcmpl-78dfbde3-8138-90c8-bcf6-5cb1d91eaf06"
is_byokfalse
latency600
model_permaslug"qwen/qwen3.6-flash"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777284815-xHBQ8qo3Q6J0PxYJ7l36"
session_id(null)
api_type"completions"
id"gen-1777284815-5tkzxM163DHmXGeTtxuJ"
upstream_id"chatcmpl-78dfbde3-8138-90c8-bcf6-5cb1d91eaf06"
total_cost0.00970125
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
78.88% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount947
totalAiIsmAdverbs4
found
0
adverb"slowly"
count2
1
adverb"quickly"
count1
2
adverb"perfectly"
count1
highlights
0"slowly"
1"quickly"
2"perfectly"
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)
31.36% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount947
totalAiIsms13
found
0
word"etched"
count1
1
word"weight"
count4
2
word"shattered"
count1
3
word"echoed"
count2
4
word"silence"
count1
5
word"traced"
count1
6
word"aligned"
count2
7
word"vibrated"
count1
highlights
0"etched"
1"weight"
2"shattered"
3"echoed"
4"silence"
5"traced"
6"aligned"
7"vibrated"
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
filterCount1
hedgeCount1
narrationSentences139
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences148
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen18
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords947
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
67.45% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount848
uniqueNames7
maxNameDensity1.65
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Quinn14
Soho1
Morris2
Town1
Inspector1
Vance1
Rain3
persons
0"Quinn"
1"Morris"
2"Inspector"
3"Vance"
4"Rain"
places
0"Soho"
1"Town"
globalScore0.675
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences68
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount947
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences148
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean43.05
std25.69
cv0.597
sampleLengths
086
148
237
330
443
530
626
775
864
972
1018
1124
1229
1331
1411
1515
1630
1759
1815
1944
2044
21116
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences139
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs163
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences148
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount850
adjectiveStacks1
stackExamples
0"single ivory-colored object."
adverbCount8
adverbRatio0.009411764705882352
lyAdverbCount5
lyAdverbRatio0.0058823529411764705
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences148
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences148
mean6.4
std3.45
cv0.539
sampleLengths
07
113
215
318
410
513
610
77
89
95
104
115
128
1310
147
152
167
1710
186
195
205
214
225
2310
246
253
268
275
2810
2913
304
316
324
3311
349
352
366
3713
385
392
405
4113
422
437
445
457
463
476
486
4910
45.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.31756756756756754
totalSentences148
uniqueOpeners47
27.32% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences122
matches
0"All facing inward."
ratio0.008
42.95% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount54
totalSentences122
matches
0"Her worn leather watch bit"
1"She kept her eyes locked"
2"He landed hard on the"
3"She stepped over the shards."
4"Her sharp jaw tightened."
5"She refused to let another"
6"He reached for his coat."
7"She raised her free hand."
8"Her voice cut through the"
9"He slowly raised his palms."
10"He backed away until his"
11"His voice cracked against the"
12"She adjusted her grip."
13"She tightened her fingers on"
14"His eyes darted toward a"
15"He broke into a sprint."
16"Her fingers grazled his coat."
17"He threw his weight forward,"
18"She climbed the chain link"
19"She landed on the dirt"
ratio0.443
13.28% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount109
totalSentences122
matches
0"Harlow Quinn drove her boots"
1"Her worn leather watch bit"
2"She kept her eyes locked"
3"The suspect scrambled over a"
4"He landed hard on the"
5"Quinn vaulted the fence without"
6"Glass from a shattered storefront"
7"She stepped over the shards."
8"Her sharp jaw tightened."
9"She refused to let another"
10"The suspect ducked into a"
11"Brick walls pressed in on"
12"Pigeons exploded into the air,"
13"The runner spun around, chest"
14"He reached for his coat."
15"Quinn drew her service weapon."
16"The barrel stayed level."
17"She raised her free hand."
18"Her voice cut through the"
19"The suspect froze."
ratio0.893
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences122
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences16
tagDensity0.063
leniency0.125
rawRatio0
effectiveRatio0
83.3581%