Run: 2026-02-25-01KJBFFDA2Y3A4FFYPFPNAFMZX

Run Details

Duration:
21.7s
Cost:
$0.007247
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 gravel, striking the pavement with the force of a thousand tiny hammers. Harlow Quinn pushed forward through the deluge, her boots splashing against the slick asphalt of the Camden high street. Water ran off the brim of her cap, stinging her eyes behind dark lenses. She did not blink. Ahead, a shadow detached itself from the brickwork of an abandoned building. A man in a dark coat. He ran with an erratic gait, weaving through the traffic as if he owned the lanes. Quinn increased her pace. Her salt-and-pepper hair plastered to her scalp. The scent of ozone and wet dog filled her nose. She kept her service pistol low against her thigh, ready to draw. He disappeared behind a line of parked delivery trucks. Quinn skidded to a halt. She scanned the area. The streetlights flickered above, buzzing with a dying electrical hum. Silence followed the roar of the rain. Nothing but the drumming water on her shoulders. Her watch ticked on her left wrist. She glanced at it. Forty seconds since he vanished. Harlow exhaled, the breath misting in the cold air. She moved toward the side of the building. An alleyway yawned open, filled with overflowing dumpsters and the slick smell of rot. At the end of the alley, a heavy steel door stood embedded in the ground. It lacked a handle. A low frequency hum vibrated through the soles of her boots. The suspect appeared at the far edge of the alley, near the subway entrance. He paused and looked back over his shoulder. His eyes caught the streetlight reflection. They were pale, almost white, devoid of the usual human glint. Quinn gripped her collar. She stepped out of the shadows. The rain washed over the concrete. "You're making a mistake, Detective," the suspect called out. His voice echoed off the brickwork, sounding distorted. Quinn kept her boots planted. She advanced one foot, then the other. "Where did you go, Tomas?" The man did not answer. He reached into his coat pocket. Metal glinted in the darkness of his hand. A bone token, polished and carved with runes that shifted under the dim light. He tossed it onto the ground before the door. It landed with a soft thud. The steel door shuddered. A mechanism engaged, gears grinding beneath the earth. The hum grew louder, vibrating in Quinn’s teeth. The door slid open just enough for a figure to slip through. Not Tomas. Another person, cloaked in shadow, stepped out. They grabbed the bone token and vanished back inside. Quinn raised her hand. The radio on her shoulder crackled. Static filled the frequency. Harlow stepped closer to the threshold. The smell of damp stone mixed with something sharper. Copper. Old blood. The air pressure dropped, popping her ears. The entrance to the Veil Market sat before her, hidden beneath a layer of mundane London dirt. She remembered the last time she was here. Not physically, but in the reports. Three years ago. DS Morris. The body found in a location that didn't match the physical evidence. The coroner said heart failure. Quinn knew better. She had seen the burn marks on his hands. A voice in her head whispered about procedure. Protocol demanded a warrant. Protocol demanded backup. She had neither. Her unit was scattered. The city was dark. She took another step forward. The metal rim of the entrance scraped her knee. She felt the cold seeping through her trousers. Her hand hovered over the holster. The suspect stood ten meters away. He raised a hand. Not a threat. A greeting. "You won't find him in the daylight, Quinn," he said. "I find things in the dark," she replied. Her voice remained steady, though her stomach tightened. The suspect stepped into the light. He revealed a scar along his forearm. Tomas. He smiled, showing teeth that looked too white. "You lose him. You always lose him." Quinn tightened her grip on the pistol. "Give me the location. Now." "It’s not a location. It’s a place," Tomas said. "And you don't have a token." Quinn looked at the bone on the ground. She looked at the dark opening behind the grate. The light from the underground seeped out, casting long, distorted shadows across the wet pavement. It looked like a wound in the earth. She thought of Morris. She thought of the cold bed in her apartment. She thought of the badge that said Detective and the weight of the dead weight she carried in her chest. The wind picked up, swirling the rain around her ankles. She shifted her stance. Military precision. She needed to be ready to engage or retreat. Tomas watched her. He knew she was hesitating. The tension in his shoulders told her everything. "Is that why you're really here?" Tomas asked. "For him?" "For justice," Quinn corrected. "Justice isn't a coin you spend here." Harlow looked at the radio. She pressed the talk button. "Dispatch, I'm at the Camden station. Send a tactical unit. Wait for it." She stopped. She knew the radio wouldn't work inside the barrier. The frequency jammed before she could finish the sentence. She looked at the door. It was still open. Just a crack. She took the bone token from the pavement. It was warm. Too warm for the rain. It felt like a living thing. She rubbed the surface with her thumb. The carvings were deep. "What happens if I don't follow?" Quinn asked. "You lose the case," Tomas said. He turned his back to her. "And he dies before you find him." Quinn held the token in her palm. The cold seeped through the bone into her skin. She checked the magazine on her gun. Full. She checked the safety. Off. She looked at the gap in the darkness. The smell of ozone grew stronger. The hum was a physical weight now, pressing against her chest. She stepped over the threshold. Her boot touched the floor inside. The air changed. The rain stopped falling. The hum of the city vanished. The only sound was the breathing of the people on the other side of the barrier. Harlow stepped fully inside the underground market. The light from the neon signs above the stalls reflected off the wet surface of her jacket. She pulled her gun up. She scanned the rows of stalls. The decision was made. She was in.
created_at"2026-02-25T22:42:22.15Z" 2/25/2026, 10:42:22 PM
model"qwen/qwen3.5-35b-a3b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency518
moderation_latency(null)
generation_time21643
tokens_prompt1140
tokens_completion3761
native_tokens_prompt1066
native_tokens_completion3490
native_tokens_completion_images(null)
native_tokens_reasoning2101
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"
usage0.0072465
router(null)
provider_responses
0
endpoint_id"48c1210f-b7d2-4688-a340-f7424fc99d2b"
id"chatcmpl-1d14a2c3-f39a-92cf-9828-d3c99cf5f201"
is_byokfalse
latency518
model_permaslug"qwen/qwen3.5-35b-a3b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772059342-7jRmYl6xAMp7BgIW8uyN"
upstream_id"chatcmpl-1d14a2c3-f39a-92cf-9828-d3c99cf5f201"
total_cost0.0072465
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
95.31% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1067
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
43.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1067
totalAiIsms12
found
0
word"scanned"
count2
1
word"flickered"
count1
2
word"silence"
count1
3
word"vibrated"
count1
4
word"glint"
count1
5
word"echoed"
count1
6
word"stomach"
count1
7
word"weight"
count3
8
word"tension"
count1
highlights
0"scanned"
1"flickered"
2"silence"
3"vibrated"
4"glint"
5"echoed"
6"stomach"
7"weight"
8"tension"
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
narrationSentences144
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences144
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences151
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
totalWords1067
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
83.06% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount971
uniqueNames9
maxNameDensity1.34
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Quinn13
Camden1
Tomas6
Veil1
Market1
London1
Morris2
Detective1
Harlow5
persons
0"Quinn"
1"Tomas"
2"Market"
3"Morris"
4"Harlow"
places
0"Veil"
1"London"
globalScore0.831
windowScore1
89.76% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences83
glossingSentenceCount2
matches
0"looked like a wound in the earth"
1"felt like a living thing"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.937
wordCount1067
matches
0"Not physically, but in the reports"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences151
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean26.02
std15.52
cv0.596
sampleLengths
052
167
243
316
461
539
616
717
817
933
1015
1150
1214
1342
1448
1526
1628
1715
1810
1916
2029
2112
2215
2340
2433
2525
2616
2710
284
297
3043
3112
3233
338
3419
3529
3625
3711
3829
3935
407
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences144
matches
0"was made"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs168
matches
0"was hesitating"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences151
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount973
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.015416238437821172
lyAdverbCount3
lyAdverbRatio0.003083247687564234
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences151
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences151
mean7.07
std3.74
cv0.529
sampleLengths
015
119
214
34
412
56
616
74
87
910
1012
119
125
134
1410
157
168
177
184
195
209
218
2214
2315
244
2511
2614
278
286
2911
304
316
326
339
348
355
367
375
385
396
408
4114
429
436
444
458
468
4712
482
497
42.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.2847682119205298
totalSentences151
uniqueOpeners43
52.49% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences127
matches
0"Just a crack."
1"Too warm for the rain."
ratio0.016
43.62% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount56
totalSentences127
matches
0"She did not blink."
1"He ran with an erratic"
2"Her salt-and-pepper hair plastered to"
3"She kept her service pistol"
4"He disappeared behind a line"
5"She scanned the area."
6"Her watch ticked on her"
7"She glanced at it."
8"She moved toward the side"
9"It lacked a handle."
10"He paused and looked back"
11"His eyes caught the streetlight"
12"They were pale, almost white,"
13"She stepped out of the"
14"His voice echoed off the"
15"She advanced one foot, then"
16"He reached into his coat"
17"He tossed it onto the"
18"It landed with a soft"
19"They grabbed the bone token"
ratio0.441
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount119
totalSentences127
matches
0"Rain fell like gravel, striking"
1"Harlow Quinn pushed forward through"
2"Water ran off the brim"
3"She did not blink."
4"A man in a dark"
5"He ran with an erratic"
6"Quinn increased her pace."
7"Her salt-and-pepper hair plastered to"
8"The scent of ozone and"
9"She kept her service pistol"
10"He disappeared behind a line"
11"Quinn skidded to a halt."
12"She scanned the area."
13"The streetlights flickered above, buzzing"
14"Silence followed the roar of"
15"Nothing but the drumming water"
16"Her watch ticked on her"
17"She glanced at it."
18"Harlow exhaled, the breath misting"
19"She moved toward the side"
ratio0.937
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences127
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
87.50% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"Quinn corrected (correct)"
dialogueSentences16
tagDensity0.438
leniency0.875
rawRatio0.143
effectiveRatio0.125
84.5856%