Run: 2026-02-25-01KJBGCQ24VS2H26HH4BVNQCP9

Run Details

Duration:
51.3s
Cost:
$0.019089
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 pavement of Camden High Street, turning the cobblestones into a treacherous mirror for the fractured neon above. Harlow Quinn drove her boots into the wet asphalt, lungs burning with the cold bite of the November air. Her heavy coat flapped against her legs, water dripping from the hem of the salt-and-pepper crop of hair framing her face. She kept her eyes locked on the figure three blocks ahead. The man moved with a fluid grace that betrayed his age. He didn't run like a man fleeing a crime. He ran like a man who knew the path. Quinn checked her watch. The worn leather strap felt cold against her wrist. 02:14. Too late for sensible people. She pushed off a brick wall, her military bearing forcing her posture upright despite the exhaustion. She didn't look up at the streetlights. She focused on the rhythm of the footsteps ahead. The sound of her own breathing filled her ears, loud and ragged in the silence between the raindrops. The target vanished into the mouth of an alleyway between a boarded-up pub and a shuttered convenience store. Quinn followed, her hand drifting to the holster at her hip. The metal of the gun felt familiar, a weight she trusted more than the rain. She rounded the corner and found herself staring at a rusted iron gate. Beyond it lay the skeletal remains of an abandoned Tube station entrance, swallowed by ivy and shadow. No lights. No signs. Just the smell of damp earth and stale water. Quinn slowed her pace, fingers tightening around the grip of her weapon. The air grew heavier here, pressing against her chest. It tasted of ozone and old dust. She stepped through the gate, the metal groaning under her touch. Her boots splashed in a puddle, the sound echoing too loudly in the narrow space. Tomás Herrera stood on the other side of the archway. He turned, olive skin pale under the dim glow of a distant streetlamp. A scar ran along his left forearm, exposed as he raised a hand to ward her off. A Saint Christopher medallion swung from his neck, catching the light. His curly dark hair clung to his forehead. "You don't want to come down here, Detective." Quinn stepped closer, the metal of the gate cold under her palm. "Step away from the entrance, Herrera. Hands where I can see them." Tomás shook his head. Water dripped from his hair into his eyes. He ignored the command. "This isn't your jurisdiction. You chase ghosts, not people." "I chase suspects." Quinn pushed the gate. It groaned, hinges protesting the rust. "And you're running." "I'm surviving." Tomás shifted his weight. His gaze darted to the dark tunnel behind him. "Morris didn't survive. You know that." Quinn flinched. The name hit her like a physical blow. DS Morris. Three years ago. Unexplained circumstances. She forced the memory down, locked it behind the steel door of her discipline. Her jaw tightened, the sharp line of it visible in the shadows. "Morris is dead because he followed leads he shouldn't have. You're doing the same." "Morris followed the truth." Tomás's voice dropped, losing its edge. "You're just following orders." "I follow the law." Quinn drew her weapon. The click of the safety disengaging echoed off the wet walls. "Last chance. Walk out, or I take you down." Tomás laughed, a dry, humorless sound. He reached into his coat pocket. Quinn raised the gun, finger resting on the trigger guard. He didn't pull a weapon. He pulled a small, white object. A bone. Carved with symbols that hurt the eyes if she stared too long. "The Veil Market doesn't open for just anyone." Tomás held the bone up. It hummed, a low vibration that rattled Quinn's teeth. "You need a key." Quinn lowered the gun an inch. Her training screamed at her to shoot, to secure the perimeter, to call for backup. Backup wouldn't help here. The rain seemed to fall harder, drumming against the iron gate. The silence from the tunnel behind Tomás felt absolute, swallowing the city noise. The shadows in the tunnel seemed to stretch toward her, reaching for the light of the street. "What is that place?" Quinn asked. "Where the things you hunt go to hide." Tomás stepped back into the shadows of the archway. "The clique knows you're here, Quinn. They know what you lost. They know what you're looking for." "I'm looking for you." "You're looking for answers." Tomás tossed the bone onto the wet ground between them. It landed with a soft thud. "Pick it up. Or leave." Quinn stared at the bone. It looked ordinary, a fragment of something animal, yet it radiated a heat that defied the cold rain. She looked at Tomás. He stood ready to vanish into the dark. If she didn't move, he was gone. If she did, she crossed a line she couldn't uncross. Her finger hovered over the trigger. She thought of Morris. She thought of the file on her desk that made no sense. The supernatural origins. The gaps in the report. She looked at the tunnel. It breathed darkness, a living thing waiting to swallow her whole. She holstered the weapon. "If this is a trap," Quinn said, "I'm coming back for you." "It's not a trap." Tomás turned, disappearing into the gloom. "It's a door." Quinn knelt. She picked up the bone. It was warm, pulsing against her palm like a second heartbeat. She stood, her boots crunching on the gravel. The gate swung open on its own, the rusted metal sliding aside without a sound. She looked back at the street. The rain continued to fall, washing the world clean. She looked forward. The tunnel breathed darkness. Quinn stepped across the threshold.
created_at"2026-02-25T22:58:22.41Z" 2/25/2026, 10:58:22 PM
model"qwen/qwen3.5-122b-a10b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency491
moderation_latency(null)
generation_time51150
tokens_prompt1140
tokens_completion6344
native_tokens_prompt1066
native_tokens_completion5832
native_tokens_completion_images(null)
native_tokens_reasoning4554
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"
usage0.0190888
router(null)
provider_responses
0
endpoint_id"33d466d1-d2f7-45ed-8ff3-fda7d2e32351"
id"chatcmpl-e19cd59d-dc00-9030-a751-f7bf1d02871d"
is_byokfalse
latency488
model_permaslug"qwen/qwen3.5-122b-a10b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772060302-H5vHEAFRRNtytrQYie3O"
upstream_id"chatcmpl-e19cd59d-dc00-9030-a751-f7bf1d02871d"
total_cost0.0190888
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
totalTags10
adverbTagCount1
adverbTags
0"Tomás stepped back [back]"
dialogueSentences23
tagDensity0.435
leniency0.87
rawRatio0.1
effectiveRatio0.087
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount965
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)
43.01% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount965
totalAiIsms11
found
0
word"treacherous"
count1
1
word"fractured"
count1
2
word"footsteps"
count1
3
word"silence"
count2
4
word"familiar"
count1
5
word"weight"
count2
6
word"echoing"
count1
7
word"echoed"
count1
8
word"gloom"
count1
highlights
0"treacherous"
1"fractured"
2"footsteps"
3"silence"
4"familiar"
5"weight"
6"echoing"
7"echoed"
8"gloom"
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
narrationSentences96
matches(empty)
98.21% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences96
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences109
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords965
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount816
uniqueNames11
maxNameDensity1.96
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Quinn16
November1
Tube1
Herrera1
Saint1
Christopher1
Morris2
Tomás11
persons
0"Quinn"
1"Herrera"
2"Saint"
3"Christopher"
4"Morris"
5"Tomás"
places
0"Camden"
1"High"
2"Street"
globalScore0.52
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount965
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences109
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean34.46
std25.41
cv0.737
sampleLengths
0100
169
287
354
459
58
624
725
816
921
1057
1114
1228
1347
1426
1566
166
1734
184
1925
2052
2146
224
2312
2413
2541
2622
275
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences96
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs139
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences109
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount819
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.013431013431013432
lyAdverbCount2
lyAdverbRatio0.002442002442002442
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences109
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences109
mean8.85
std4.76
cv0.538
sampleLengths
020
119
221
311
411
59
69
74
89
91
105
1116
127
139
1418
1518
1611
1715
1813
1917
202
212
229
2312
249
257
2611
2715
2810
2913
3017
3111
328
338
3412
3512
364
378
384
399
407
416
423
436
449
456
462
478
482
493
37.04% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.2962962962962963
totalSentences108
uniqueOpeners32
77.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences86
matches
0"Too late for sensible people."
1"Just the smell of damp"
ratio0.023
43.26% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount38
totalSentences86
matches
0"Her heavy coat flapped against"
1"She kept her eyes locked"
2"He didn't run like a"
3"He ran like a man"
4"She pushed off a brick"
5"She didn't look up at"
6"She focused on the rhythm"
7"She rounded the corner and"
8"It tasted of ozone and"
9"She stepped through the gate,"
10"Her boots splashed in a"
11"He turned, olive skin pale"
12"His curly dark hair clung"
13"He ignored the command."
14"It groaned, hinges protesting the"
15"His gaze darted to the"
16"She forced the memory down,"
17"Her jaw tightened, the sharp"
18"He reached into his coat"
19"He didn't pull a weapon."
ratio0.442
0.70% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences86
matches
0"Rain lashed the pavement of"
1"Harlow Quinn drove her boots"
2"Her heavy coat flapped against"
3"She kept her eyes locked"
4"The man moved with a"
5"He didn't run like a"
6"He ran like a man"
7"Quinn checked her watch."
8"The worn leather strap felt"
9"She pushed off a brick"
10"She didn't look up at"
11"She focused on the rhythm"
12"The sound of her own"
13"The target vanished into the"
14"Quinn followed, her hand drifting"
15"The metal of the gun"
16"She rounded the corner and"
17"Quinn slowed her pace, fingers"
18"The air grew heavier here,"
19"It tasted of ozone and"
ratio0.919
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences86
matches
0"If she didn't move, he"
1"If she did, she crossed"
ratio0.023
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount1
matches
0"It looked ordinary, a fragment of something animal, yet it radiated a heat that defied the cold rain."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences23
tagDensity0.087
leniency0.174
rawRatio0
effectiveRatio0
88.3243%