Run: 2026-02-19-01KHTR2XRTW54B03YKFG18ZCWE

Run Details

Duration:
2m 10s
Cost:
$0.001876
Provider:
Novita

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
The rain came down in slanting sheets, turning the London pavements into mirrors reflecting sodium streetlights and the flickering neon of shopfronts. Detective Harlow Quinn’s breath fogged the cold air as she sprinted, her worn leather watchband soaked through, the military precision of her movements cutting through the downpour. Ahead, a figure darted around a corner into an alleyway—slick black coat, hunched shoulders, moving with the desperate speed of prey. She’d been tailing him for twenty minutes, from the steps of The Raven’s Nest, where the green neon sign buzzed against the wet night. He’d bolted the moment he’d spotted her sharp jaw and salt-and-pepper crop through the bar’s steamy window. Now he was leading her deeper into Camden, away from the main roads, into a warren of service lanes and decaying brickwork. Her shoes slapped against wet tarmac. The alley dead-ended at a rusted iron gate, but the suspect didn’t slow. He vaulted it, coat flapping, and disappeared into the shadows beyond. Quinn followed, hauling herself over, the cold metal biting through her gloves. On the other side, a narrow courtyard opened onto a deserted side street. No sign of him. Then movement—a flash of dark fabric slipping through a half-open metal door set into the pavement, like a maintenance hatch leading underground. Light glowed from below, a sickly yellow. Quinn approached cautiously. Rainwater streamed down the steps visible beyond the door. The air carried a strange mix of odors—ozone, wet earth, something metallic and sharp. Voices echoed up, muffled, layered over a low hum of activity. This wasn’t on any map. It felt wrong. She thought of DS Morris, three years gone. The case file that made no sense, the evidence that shouldn’t exist. The quiet dread that had settled in her bones ever since. This smelled like that. Her radio crackled. “Quinn? Status?” The dispatcher’s voice was tinny. She thumbed the button, rain dripping from her chin. “In pursuit. Heading underground. Possible unregistered premises.” “Underground? Where? Do you need backup?” Backup would take ten minutes. By then, the suspect—and whatever this place was—would be gone. She knew the drill: wait, call it in, preserve the scene. Procedure. Procedure hadn’t saved Morris. “Negative,” she said, her voice flat. “Maintaining visual. Out.” She clicked off before they could reply. The steps were steep, uneven, carved from old stone. They descended into a wide, vaulted space—an abandoned Tube station, she realized. The platform was lit by dozens of lanterns and flickering electric bulbs strung on wires. Stalls lined the walls, cobbled together from scrap wood and moth-eaten fabric. The air was thick with the murmur of voices, the clink of glass, the scent of strange herbs and hot metal. The Veil Market. She’d heard whispers. A place that moved, that required a token to enter. A black market for things the normal world didn’t acknowledge. Her suspect was thirty feet ahead, weaving through the crowd. He glanced back, saw her, and panic flashed across his face. He shoved past a hulking figure in a heavy cloak and broke into a run, deeper into the market. Quinn pushed forward. The crowd parted reluctantly. Faces turned toward her—some curious, some hostile. A woman with eyes too large and too black hissed as she passed. A stall selling vials of luminescent liquid glowed blue, casting long shadows. “Lost, darling?” A vendor leaned across his table of carved bones. His smile revealed pointed teeth. She ignored him, keeping her gaze locked on the suspect’s retreating back. He ducked under a low archway into a narrower tunnel branching off the main platform. The tunnel was darker, lit only by occasional candles in niches. The sounds of the market faded behind her, replaced by dripping water and her own footsteps. The walls were rough brick, sweating moisture. Something skittered in the shadows. Up ahead, the suspect stumbled, caught his foot on something. He went down hard, sliding on the wet floor. Quinn closed the distance, her hand going to her sidearm. “Metropolitan Police! Stay down!” He scrambled to his feet, backing away, hands raised. His face was pale, slick with rain and sweat. “You don’t understand. You can’t be here.” “Then explain it to me.” She advanced slowly, carefully. “You ran from The Raven’s Nest. Why?” “I didn’t do anything wrong.” “Then why run?” He shook his head, gaze darting past her, down the tunnel. “They’ll know I led you here. They’ll come for me.” “Who?” A sound echoed from the darkness behind him—soft footfalls, multiple. The suspect’s eyes widened further. “Too late.” Shapes detached from the shadows. Three figures, moving with unsettling grace. They wore dark, nondescript clothing, but their presence filled the tunnel, pressing the air out. Quinn’s grip tightened on her gun. “Metropolitan Police! Identify yourselves!” One of them stepped forward. His features were sharp, unnaturally still. “This place is not under your jurisdiction, Detective.” “Every place in London is.” A thin smile. “Is it?” The suspect made a choked sound and tried to bolt past them. One of the figures moved—a blur of motion—and caught him by the collar, lifting him off his feet. The suspect gasped, legs kicking. “Let him go!” Quinn leveled her weapon. The leader’s gaze shifted to her. “You should not have followed. But since you are here… you will come with us. Quietly.” Her mind raced. Three against one, in a place with no backup, no witnesses. The rules said retreat, disengage, regroup. But Morris had followed the rules. She took a step back, keeping her gun steady. “I’m not going anywhere with you. Put him down and step away.” “A pity.” They moved as one. Quinn fired—a deafening crack in the confined space. The leader flinched but didn’t fall; something shimmered around him, like heat haze. Magic. She turned and ran. Footsteps pounded behind her. She burst back into the main market, shouting, “Police! Everyone down!” Chaos erupted. Stalls overturned. Glass shattered. Bodies surged in every direction. Quinn shoved through, heading for the steps up to the surface. A hand grabbed her arm. She spun, ready to strike, but met warm brown eyes framed by short curly dark hair. A man in his late twenties, olive skin gleaming in the lantern light. A Saint Christopher medallion gleamed at his throat. “This way,” he said, his accent Spanish. “Now.” He pulled her sideways, into a gap between two stalls, through a heavy curtain into a small, cluttered space—a makeshift medical station. Shelves held bottles and bandages. The scent of antiseptic cut through the market’s odors. “Who are you?” “Tomás Herrera. I’m a friend.” He peered back through the curtain. “They won’t look here. Not immediately.” Quinn’s heart hammered against her ribs. “Those men—” “Enforcers. For the Market.” He turned to her, his expression serious. A scar ran along his left forearm. “You shouldn’t have come down here without a token. Without… understanding.” “I’m a police detective. I go where the investigation leads.” “And where has it led you? Into a world that doesn’t obey your laws.” He shook his head. “Your suspect—he’s a snitch. He was selling information. The Enforcers were waiting for him. You walked right into their collection.” Quinn leaned against a table, catching her breath. The adrenaline made her hands shake. She holstered her gun. “What information?” “About your group. The ones you’ve been watching.” He glanced at her face. “You think they’re just criminals. You’re wrong.” “Then what are they?” Tomás opened his mouth, then closed it. Shouts echoed outside the curtain. “We don’t have time. You need to leave. Now. Before they seal the exits.” “I need to bring my suspect in.” “He’s gone. You won’t see him again.” Tomás’s voice was gentle but firm. “Listen to me. Go back to the surface. Forget this place. Or next time, they won’t let you run.” She stared at him. Eighteen years on the force had taught her when someone was telling the truth. He believed every word. The footsteps outside grew closer. Tomás pushed a small bone token into her hand. “For next time. If there is a next time. Now go—out the back.” He gestured to a draped opening behind the shelves. Quinn hesitated, her training screaming at her to stand her ground, to arrest everyone in sight. But Morris had stood his ground. She pocketed the token. “Thank you.” “Don’t thank me. Just go.” She slipped through the drape into another tunnel, this one narrow and dark. It sloped upward. After fifty feet, a ladder led to a manhole cover. She climbed, pushed it open, and emerged into a rain-swept Camden backstreet, alone.
created_at"2026-02-19T10:45:44.877Z" 2/19/2026, 10:45:44 AM
model"microsoft/wizardlm-2-8x22b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1320
moderation_latency(null)
generation_time130390
tokens_prompt1143
tokens_completion2401
native_tokens_prompt1005
native_tokens_completion2021
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached960
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"
usage0.00187612
router(null)
provider_responses
0
endpoint_id"92d0658f-b48a-4746-96e7-75ea71d5e060"
id"6277dd7c-a70c-448d-ac17-c8367c8702c2"
is_byokfalse
latency1320
model_permaslug"microsoft/wizardlm-2-8x22b"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771497944-sxZ29r8nicbH4Muxfg1o"
upstream_id"6277dd7c-a70c-448d-ac17-c8367c8702c2"
total_cost0.00187612
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
69.57% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount3
adverbTags
0"She advanced slowly [slowly]"
1"She burst back [back]"
2"He peered back [back]"
dialogueSentences46
tagDensity0.217
leniency0.435
rawRatio0.3
effectiveRatio0.13
86.23% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1452
totalAiIsmAdverbs4
found
0
adverb"cautiously"
count1
1
adverb"reluctantly"
count1
2
adverb"slowly"
count1
3
adverb"carefully"
count1
highlights
0"cautiously"
1"reluctantly"
2"slowly"
3"carefully"
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)
58.68% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1452
totalAiIsms12
found
0
word"echoed"
count3
1
word"electric"
count1
2
word"hulking"
count1
3
word"footsteps"
count3
4
word"raced"
count1
5
word"shimmered"
count1
6
word"shattered"
count1
7
word"gleaming"
count1
highlights
0"echoed"
1"electric"
2"hulking"
3"footsteps"
4"raced"
5"shimmered"
6"shattered"
7"gleaming"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"air was thick with"
count1
highlights
0"eyes widened"
1"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences130
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences130
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences164
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1432
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
97.64% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1146
uniqueNames15
maxNameDensity1.05
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
London1
Harlow1
Quinn12
Raven1
Nest1
Camden2
Morris4
Tube1
Veil1
Market1
Chaos1
Saint1
Christopher1
Spanish1
Tomás3
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Chaos"
5"Saint"
6"Christopher"
7"Tomás"
places
0"London"
1"Camden"
globalScore0.976
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences85
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1432
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences164
matches
0"moved, that required"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs69
mean20.75
std16.13
cv0.777
sampleLengths
070
163
259
329
437
58
635
710
816
96
1027
114
129
137
1469
153
1623
1740
1839
1916
2027
2139
2229
234
2425
2516
265
273
2821
291
3017
3126
3210
3319
345
355
3635
377
3822
3920
406
4121
422
4326
444
4515
4622
4742
488
4936
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences130
matches
0"was lit"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs205
matches
0"was leading"
1"was telling"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount1
flaggedSentences11
totalSentences164
ratio0.067
matches
0"Ahead, a figure darted around a corner into an alleyway—slick black coat, hunched shoulders, moving with the desperate speed of prey."
1"Then movement—a flash of dark fabric slipping through a half-open metal door set into the pavement, like a maintenance hatch leading underground."
2"The air carried a strange mix of odors—ozone, wet earth, something metallic and sharp."
3"By then, the suspect—and whatever this place was—would be gone."
4"They descended into a wide, vaulted space—an abandoned Tube station, she realized."
5"Faces turned toward her—some curious, some hostile."
6"A sound echoed from the darkness behind him—soft footfalls, multiple."
7"One of the figures moved—a blur of motion—and caught him by the collar, lifting him off his feet."
8"Quinn fired—a deafening crack in the confined space."
9"The leader flinched but didn’t fall; something shimmered around him, like heat haze."
10"He pulled her sideways, into a gap between two stalls, through a heavy curtain into a small, cluttered space—a makeshift medical station."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1164
adjectiveStacks1
stackExamples
0"short curly dark hair."
adverbCount24
adverbRatio0.020618556701030927
lyAdverbCount9
lyAdverbRatio0.007731958762886598
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences164
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences164
mean8.73
std5.32
cv0.609
sampleLengths
022
127
221
324
417
522
66
713
811
912
1013
114
1222
137
143
159
1614
1711
185
193
208
2112
2211
234
243
257
269
277
286
295
3010
3111
321
334
346
353
367
379
3812
3915
4012
4121
423
433
4410
4510
4610
4711
4819
493
59.55% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.3902439024390244
totalSentences164
uniqueOpeners64
26.67% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences125
matches
0"Then movement—a flash of dark"
ratio0.008
72.80% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount46
totalSentences125
matches
0"She’d been tailing him for"
1"He’d bolted the moment he’d"
2"Her shoes slapped against wet"
3"He vaulted it, coat flapping,"
4"It felt wrong."
5"She thought of DS Morris,"
6"Her radio crackled."
7"She thumbed the button, rain"
8"She knew the drill: wait,"
9"she said, her voice flat"
10"She clicked off before they"
11"They descended into a wide,"
12"She’d heard whispers."
13"Her suspect was thirty feet"
14"He glanced back, saw her,"
15"He shoved past a hulking"
16"His smile revealed pointed teeth."
17"She ignored him, keeping her"
18"He ducked under a low"
19"He went down hard, sliding"
ratio0.368
24.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount109
totalSentences125
matches
0"The rain came down in"
1"Detective Harlow Quinn’s breath fogged"
2"She’d been tailing him for"
3"He’d bolted the moment he’d"
4"Her shoes slapped against wet"
5"The alley dead-ended at a"
6"He vaulted it, coat flapping,"
7"Quinn followed, hauling herself over,"
8"Light glowed from below, a"
9"Quinn approached cautiously."
10"Rainwater streamed down the steps"
11"The air carried a strange"
12"Voices echoed up, muffled, layered"
13"This wasn’t on any map."
14"It felt wrong."
15"She thought of DS Morris,"
16"The case file that made"
17"The quiet dread that had"
18"This smelled like that."
19"Her radio crackled."
ratio0.872
40.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences125
matches
0"Now he was leading her"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount3
matches
0"she said, her voice flat"
1"She advanced slowly, carefully"
2"He turned, his expression serious"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences46
tagDensity0.043
leniency0.087
rawRatio0
effectiveRatio0
79.8600%