Run: 2026-02-25-01KJBK9TQJVATXYZPNQXS72CXG

Run Details

Duration:
52.1s
Cost:
$0.010229
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 lashed the cobblestones of Camden High Street, turning the pavement into a slick mirror for the neon signs reflecting above. Detective Harlow Quinn pushed through the downpour, her boots splashing in rhythm with the pounding in her temples. The salt-and-pepper crop of her hair stuck to her scalp, heavy with water. She kept her eyes locked on the figure ahead. He moved like smoke, darting between parked cars and under the awnings of closed shops. Quinn checked her watch. The worn leather strap felt cold against her wrist. Midnight. The suspect had been running for twenty minutes. She didn't slow. Eighteen years of service had built a tolerance for pain and fatigue that most civilians lacked. Her lungs burned, but she forced another step. The sharp line of her jaw tightened as she scanned the shadows. The figure turned down a narrow alleyway leading away from the main road. Quinn followed, her silhouette cutting through the grey mist. She knew this city. She knew the shortcuts. She knew where the rats hid. The suspect knew the city too, but he didn't know her. Not the way she knew the streets. They reached the edge of the station district. The noise of the traffic faded, replaced by the hum of electricity and the distant rumble of trains. The suspect stopped at a rusted metal grate set into the brickwork of an abandoned building. He turned. Quinn skidded to a halt, water dripping from the brim of her coat. She didn't raise her weapon yet. She kept her hands visible but ready. The man stood under a flickering streetlamp. Rain ran down his olive skin, highlighting the scar running along his left forearm. He wore a dark jacket, the collar turned up. A silver chain glinted against his throat. Tomás Herrera. She knew the name. She knew the file. She knew the paramedic license had been revoked three years ago. She knew he treated things the NHS couldn't name. Quinn stepped forward. The wet pavement echoed her boots. "You're fast," she said. Her voice carried over the rain without effort. Tomás didn't flinch. He looked at the grate behind him, then back at her. His warm brown eyes held no fear. Only calculation. "You followed me too far," Tomás said. He pulled a small object from his pocket. A bone token, etched with symbols that hurt the eyes if she stared too long. Quinn's gaze dropped to the token. She had seen descriptions of these. They opened doors that shouldn't exist. They bought things that weren't for sale. "Step away from the grate," Quinn said. Tomás tilted his head. "This is the Veil Market. It moves every full moon. Tonight it is here. Tomorrow it is gone." "I don't care about the market," Quinn said. "I care about the bodies. I care about Morris." The name hung in the air, heavier than the rain. Tomás's expression shifted. A flicker of something human crossed his face before the mask returned. "Morris was a fool," Tomás said. "He walked into a room he didn't understand." Quinn took a step closer. The distance between them shrank to ten feet. The air smelled of ozone and wet brick. "Where is he?" Quinn asked. "Dead," Tomás said. "Like the others who tried to police the unseen." Quinn's hand twitched toward her holster. She stopped. She needed information. A bullet wouldn't bring answers. "You're coming with me," Quinn said. Tomás laughed. A dry, humorless sound. He held up the bone token. The light from the streetlamp caught the carving. "Entry requires a toll," Tomás said. "You don't have one." Quinn looked at the grate. A dark maw in the brickwork. Steam curled from the opening, smelling of sulfur and old earth. She had seen the files on the underground market. Banned alchemical substances. Enchanted goods. Information traded for blood. She looked at Tomás. He stood relaxed, confident in the danger. He knew the rules. She was the outsider. "I don't need a token," Quinn said. "You need more than a token," Tomás said. "You need the will to walk through." Quinn ignored him. She moved past him. Her shoulder brushed against his arm. She could feel the heat radiating from him, the tension in his muscles. He didn't stop her. He didn't have to. She reached the grate. The metal was cold and slick with condensation. She gripped the edge and pulled. It groaned, rusted hinges protesting the movement. The darkness beyond swallowed the light. Quinn paused. She looked back at Tomás. He stood by the wall, watching her. He didn't move to stop her. He didn't move to help her. He waited. She thought of Morris. She thought of the case file that ended in a dead end. She thought of the silence in her apartment at night. The silence that screamed. She holstered her weapon. The leather creaked. She drew her service flashlight. The beam cut through the steam, illuminating the stairs leading down. Concrete steps, wet and worn. Quinn stepped onto the first stair. The metal grated under her boot. She looked at Tomás one last time. "I'm coming back," Quinn said. "Maybe," Tomás said. Quinn didn't wait for an answer. She descended. The air grew colder. The smell of the city faded, replaced by the scent of damp stone and something ancient. The flashlight beam danced over graffiti that looked like warnings. Symbols scrawled in red paint. She reached the bottom of the stairs. A tunnel stretched out before her. Flickering lights lined the walls. Shadows moved in the periphery. Quinn adjusted her grip on the flashlight. She walked forward. Her boots echoed on the concrete floor. The tunnel opened into a cavernous space. Stalls lined the walls. People moved in the gloom. Some looked human. Some did not. She scanned the crowd. Eyes watched her. No one spoke. The silence pressed against her ears. Quinn walked deeper into the market. She kept her head up. She kept her eyes moving. She didn't look at the wares. She looked for the people. She looked for the ones who knew about Morris. She stopped at a stall draped in black cloth. A figure sat behind the counter. The figure held a bone token in its hand. Quinn placed her hand on her holster. "Morris," Quinn said. The figure looked up. "Morris," the figure repeated. Quinn stepped forward. She didn't flinch. She didn't look away. "Tell me," Quinn said. The figure smiled. It showed too many teeth. "Tell me what?" the figure asked. Quinn reached into her pocket. She pulled out a photograph. She placed it on the counter. The image showed a man in a police uniform. "Tell me where he is," Quinn said. The figure picked up the photograph. It studied the face. It looked at Quinn. "He is here," the figure said. Quinn gripped the counter. Her knuckles turned white. "Where," Quinn said. The figure pointed down the tunnel. "Follow," the figure said. Quinn turned. She walked down the tunnel. The lights flickered. The shadows lengthened. She didn't look back. She kept moving. She reached a door at the end of the tunnel. It was made of iron. Symbols were carved into the metal. Quinn placed her hand on the door. It was cold. She pushed. The door opened. Quinn stepped inside.
created_at"2026-02-25T23:49:13.591Z" 2/25/2026, 11:49:13 PM
model"qwen/qwen3.5-27b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency822
moderation_latency(null)
generation_time52073
tokens_prompt1140
tokens_completion4457
native_tokens_prompt1066
native_tokens_completion4129
native_tokens_completion_images(null)
native_tokens_reasoning2467
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"
usage0.0102294
router(null)
provider_responses
0
endpoint_id"f3f88554-0c22-4d57-973b-0dec948808e8"
id"chatcmpl-4f205672-97e0-9218-ae16-63d0ec65d64a"
is_byokfalse
latency822
model_permaslug"qwen/qwen3.5-27b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772063353-jTsPkxntfqNaBmJV4JwX"
upstream_id"chatcmpl-4f205672-97e0-9218-ae16-63d0ec65d64a"
total_cost0.0102294
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
totalTags21
adverbTagCount0
adverbTags(empty)
dialogueSentences27
tagDensity0.778
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1220
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)
38.52% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1220
totalAiIsms15
found
0
word"pounding"
count1
1
word"scanned"
count2
2
word"echoed"
count2
3
word"etched"
count1
4
word"flicker"
count1
5
word"maw"
count1
6
word"could feel"
count1
7
word"tension"
count1
8
word"silence"
count3
9
word"gloom"
count1
10
word"flickered"
count1
highlights
0"pounding"
1"scanned"
2"echoed"
3"etched"
4"flicker"
5"maw"
6"could feel"
7"tension"
8"silence"
9"gloom"
10"flickered"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"knuckles turned white"
count1
1
label"hung in the air"
count1
highlights
0"knuckles turned white"
1"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences187
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences187
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences193
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1220
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions54
wordCount1099
uniqueNames8
maxNameDensity3
worstName"Quinn"
maxWindowNameDensity6
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Harlow1
Quinn33
Herrera1
Tomás14
Morris2
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Tomás"
4"Morris"
places
0"Camden"
1"High"
2"Street"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences86
glossingSentenceCount1
matches
0"looked like warnings"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1220
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences193
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs64
mean19.06
std16.16
cv0.848
sampleLengths
076
161
254
344
463
52
628
79
812
923
1030
1125
127
1322
1417
1525
1614
1721
185
1912
2016
216
2220
2310
2440
2519
267
2715
2834
2931
3028
3130
3228
3319
345
353
3643
3723
3839
3916
4036
4124
427
433
444
454
4610
474
488
496
99.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences187
matches
0"been revoked"
1"was made"
2"were carved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs228
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences193
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1101
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.008174386920980926
lyAdverbCount1
lyAdverbRatio0.0009082652134423251
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences193
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences193
mean6.32
std3.54
cv0.56
sampleLengths
021
118
213
39
415
54
69
71
88
93
1016
118
1212
1313
149
154
164
176
1811
197
208
2118
2216
232
2413
256
267
277
2814
299
307
312
324
334
3411
359
363
376
384
398
403
4111
427
432
447
458
4615
476
486
496
32.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats34
diversityRatio0.21243523316062177
totalSentences193
uniqueOpeners41
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences158
matches(empty)
ratio0
40.25% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount71
totalSentences158
matches
0"She kept her eyes locked"
1"He moved like smoke, darting"
2"She didn't slow."
3"Her lungs burned, but she"
4"She knew this city."
5"She knew the shortcuts."
6"She knew where the rats"
7"They reached the edge of"
8"She didn't raise her weapon"
9"She kept her hands visible"
10"He wore a dark jacket,"
11"She knew the name."
12"She knew the file."
13"She knew the paramedic license"
14"She knew he treated things"
15"Her voice carried over the"
16"He looked at the grate"
17"His warm brown eyes held"
18"He pulled a small object"
19"She had seen descriptions of"
ratio0.449
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount151
totalSentences158
matches
0"Rain lashed the cobblestones of"
1"Detective Harlow Quinn pushed through"
2"The salt-and-pepper crop of her"
3"She kept her eyes locked"
4"He moved like smoke, darting"
5"Quinn checked her watch."
6"The worn leather strap felt"
7"The suspect had been running"
8"She didn't slow."
9"Her lungs burned, but she"
10"The sharp line of her"
11"The figure turned down a"
12"Quinn followed, her silhouette cutting"
13"She knew this city."
14"She knew the shortcuts."
15"She knew where the rats"
16"The suspect knew the city"
17"They reached the edge of"
18"The noise of the traffic"
19"The suspect stopped at a"
ratio0.956
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences158
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags21
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags21
fancyCount1
fancyTags
0"the figure repeated (repeat)"
dialogueSentences27
tagDensity0.778
leniency1
rawRatio0.048
effectiveRatio0.048
79.2487%