Run: 2026-05-10-01KR8XAB4BW7VH04XE8423PGMB

Run Details

Duration:
2m 52s
Cost:
$0.001446
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
Rain lashed the London pavement, turning the soot-stained streets into a mirror of fractured neon. Quinn gripped the collar of her damp trench coat, her boots slapping against the wet asphalt. Ahead, a dark silhouette darted between a parked van and a rusted dumpster. "Police! Stop!" The figure didn't flinch. He doubled back, weaving through the narrow gap between two brick buildings in Soho. Quinn’s lungs burned. She felt the familiar ache in her shoulder, a phantom tension that had resided there since Morris died. Her eyes, sharp and focused, tracked the sway of the suspect's heavy coat. He moved with a frantic, uneven gait, yet he knew the shortcuts. She lunged around a corner, her shoulder clipping a brick wall. The rough surface tore at her coat. She ignored the sting. Her gaze caught the flicker of the green neon sign from The Raven’s Nest as she sprinted past. The bar's dim light offered no comfort, only a brief moment of visibility in the deluge. The suspect was gaining distance, heading north toward the sprawling shadows of Camden. The chase transitioned from the open street to the claustrophobic labyrinth of alleyways. Water cascaded from overflowing gutters, drenching Quinn. Her salt-and-pepper hair clung to her scalp in wet, jagged spikes. She reached for her radio, but the torrential downpour hissed against the device, the signal dead. She was on her own. The suspect suddenly veered left, ducking into a mouth of darkness that smelled of ozone and ancient dust. Quinn skidded to a halt, her boots sliding on a patch of moss. The entrance sat beneath a crumbling brick archway, a descent into an abandoned Tube station. A rusted iron gate hung loosely on its hinges. The man disappeared down the stairs. Quinn gripped the handle of her flashlight. She stepped over the threshold, the roar of the rain muffling into a rhythmic, hollow thrum. The temperature dropped. The air turned thick, heavy with the scent of damp earth and something sweet, like rotting lilies. The staircase descended into a throat of darkness. Each step felt slick under her feet. The descent stretched longer than the street above suggested. The walls transitioned from brick to grime-encrusted tile, the white ceramic stained with streaks of ochre and black. Quinn descended, her flashlight beam cutting a lonely path through the gloom. A sound drifted up from the depths. It wasn't the sound of the city. There were no sirens, no distant rumble of buses. Instead, a low, undulating hum vibrated through the stone. It sounded like a thousand whispered secrets, layered one atop the other. She reached the bottom of the stairs. The flashlight beam hit a wide, subterranean chamber. The station platform loomed, but it had transformed. The derelict tiles now acted as a canvas for a riot of impossible colors. Glowing jars of amber liquid lined makeshift stalls. Veins of violet light pulsed through the cracks in the ceiling. The market breathed. Quinn crouched behind a concrete pillar, her heart hammering against her ribs. The suspect was gone, swallowed by the throng. This wasn't a crime scene she recognized. This was something else. People moved through the aisles with an unnatural grace. Some wore heavy, tattered cloaks that seemed to swallow the light. Others possessed skin the color of bruised plums or eyes that caught the lantern light like polished obsidian. A man at a stall draped in heavy velvet held out a hand. A hooded figure leaned forward and dropped a small, bleached object into his palm. The man inspected the item—a jagged piece of bone, carved with intricate runes—and nodded. He slid a pouch of silver coins across the table. Quinn tightened her grip on her service weapon. The weight of the metal felt insufficient against the atmosphere of this place. Her mind raced through her training, through the protocols of the Metropolitan Police, but those rules felt brittle and useless here. There were no sirens to call for backup. There was no commanding officer to authorize entry into a place that didn't exist on any map. The suspect’s coat. She caught a flash of that same dark fabric near a stall selling jars of swirling, iridescent smoke. He was moving deeper into the market, weaving through the crowd toward a cluster of tents made from what looked like dragon scales. She stepped out from behind the pillar. The hum of the market surged. A woman with silver hair and eyes that lacked pupils turned toward her. The woman didn't speak, but the air around Quinn grew suddenly cold, prickling against her skin like needles. Quinn’s hand moved to her badge, then hesitated. To show it was to declare herself an intruder. To hide it was to abandon the very thing that defined her. She thought of Morris. She thought of the way the light had left his eyes in that basement, a look of confusion that still haunted her dreams. He had been chasing something just like this. The suspect reached a heavy curtain of black silk at the edge of the market. He stepped through, disappearing into the darkness beyond. Quinn stood at the edge of the platform. The shadows of the market stretched toward her, beckoning. The scent of copper and incense filled her senses, dizzying and thick. She looked back at the stairs, the way to the rain, the way to the law, and the way to the world she understood. Then she turned her gaze toward the silk curtain. She drew her weapon, her thumb clicking the safety off. The metal felt cold, a small, hard reality in a world of shifting illusions. She stepped forward, her boots hitting the stone with a heavy, purposeful thud.
created_at"2026-05-10T12:20:43.797Z" 5/10/2026, 12:20:43 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
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cancelledfalse
latency1516
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generation_time171641
tokens_prompt1140
tokens_completion3558
native_tokens_prompt1074
native_tokens_completion3266
native_tokens_completion_images(null)
native_tokens_reasoning2112
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"
service_tier(null)
usage0.00144602
router(null)
provider_responses
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is_byokfalse
latency1253
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"Novita"
status200
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upstream_id"23c6e0efc28481e1d8a7d81ad274319c"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
79.06% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount955
totalAiIsmAdverbs4
found
0
adverb"suddenly"
count2
1
adverb"loosely"
count1
2
adverb"very"
count1
highlights
0"suddenly"
1"loosely"
2"very"
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)
16.23% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount955
totalAiIsms16
found
0
word"fractured"
count1
1
word"familiar"
count1
2
word"tension"
count1
3
word"flicker"
count1
4
word"rhythmic"
count1
5
word"gloom"
count1
6
word"depths"
count1
7
word"vibrated"
count1
8
word"loomed"
count1
9
word"pulsed"
count1
10
word"velvet"
count1
11
word"intricate"
count1
12
word"weight"
count1
13
word"raced"
count1
14
word"silk"
count2
highlights
0"fractured"
1"familiar"
2"tension"
3"flicker"
4"rhythmic"
5"gloom"
6"depths"
7"vibrated"
8"loomed"
9"pulsed"
10"velvet"
11"intricate"
12"weight"
13"raced"
14"silk"
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
narrationSentences85
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences85
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences86
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords953
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
92.17% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount951
uniqueNames10
maxNameDensity1.16
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
London1
Soho1
Morris2
Raven1
Nest1
Camden1
Quinn11
Tube1
Metropolitan1
Police1
persons
0"Morris"
1"Quinn"
places
0"London"
1"Soho"
2"Raven"
globalScore0.922
windowScore1
51.32% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences76
glossingSentenceCount3
matches
0"sounded like a thousand whispered secrets"
1"cloaks that seemed to swallow the light"
2"looked like dragon scales"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount953
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences86
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean39.71
std20.72
cv0.522
sampleLengths
044
12
264
369
452
555
66
743
854
944
1056
113
1231
1338
1451
1567
1644
177
1837
1964
2023
2153
229
2337
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences85
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs153
matches
0"was gaining"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences86
ratio0.012
matches
0"The man inspected the item—a jagged piece of bone, carved with intricate runes—and nodded."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount957
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.013584117032392894
lyAdverbCount5
lyAdverbRatio0.00522466039707419
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences86
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences86
mean11.08
std4.94
cv0.446
sampleLengths
015
116
213
32
44
514
63
718
813
912
1011
117
124
1318
1416
1513
1613
177
1811
1916
205
2118
2213
2315
249
256
267
2716
283
2917
308
317
329
3318
3412
357
367
379
389
3912
407
418
428
4314
448
4511
463
4712
488
497
33.72% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.2558139534883721
totalSentences86
uniqueOpeners22
78.43% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences85
matches
0"Instead, a low, undulating hum"
1"Then she turned her gaze"
ratio0.024
97.65% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences85
matches
0"He doubled back, weaving through"
1"She felt the familiar ache"
2"Her eyes, sharp and focused,"
3"He moved with a frantic,"
4"She lunged around a corner,"
5"She ignored the sting."
6"Her gaze caught the flicker"
7"Her salt-and-pepper hair clung to"
8"She reached for her radio,"
9"She was on her own."
10"She stepped over the threshold,"
11"It wasn't the sound of"
12"It sounded like a thousand"
13"She reached the bottom of"
14"He slid a pouch of"
15"Her mind raced through her"
16"She caught a flash of"
17"He was moving deeper into"
18"She stepped out from behind"
19"She thought of Morris."
ratio0.306
12.94% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount76
totalSentences85
matches
0"Rain lashed the London pavement,"
1"Quinn gripped the collar of"
2"The figure didn't flinch."
3"He doubled back, weaving through"
4"Quinn’s lungs burned."
5"She felt the familiar ache"
6"Her eyes, sharp and focused,"
7"He moved with a frantic,"
8"She lunged around a corner,"
9"The rough surface tore at"
10"She ignored the sting."
11"Her gaze caught the flicker"
12"The bar's dim light offered"
13"The suspect was gaining distance,"
14"The chase transitioned from the"
15"Water cascaded from overflowing gutters,"
16"Her salt-and-pepper hair clung to"
17"She reached for her radio,"
18"She was on her own."
19"The suspect suddenly veered left,"
ratio0.894
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences85
matches
0"To show it was to"
1"To hide it was to"
ratio0.024
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount1
matches
0"She felt the familiar ache in her shoulder, a phantom tension that had resided there since Morris died."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
88.7170%