Run: 2026-02-20-01KHY8JVGSZK5WRXYV6W6PG6D1

Run Details

Duration:
33.6s
Cost:
$0.000540
Provider:
Nebius

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 against Detective Harlow Quinn’s face, blurring the sodium glow of Soho’s late-night lights into smeared aureoles. Her trench coat, usually immaculate, clung to her like a second skin. She ran, boots splashing through puddles reflecting the city's fractured glow, the chill seeping into her bones. Ahead, a figure—Herrera, Tomás Herrera—darted across Rupert Street, disappearing into a narrow alleyway. “Damn it,” she bit out, adjusting her grip on the Browning beneath her arm. Eighteen years on the force hadn't dampened the burn of a cold trail. And this one… this one felt different. Herrera wasn’t just a cut-rate medic catering to London’s underbelly. He was a thread, and she intended to unravel the whole damn tapestry. She pushed into the alley, the scent of stale beer and something indefinable, metallic, hitting her nostrils. It dead-ended at a heavy, scarred door. The distinctive green neon sign of The Raven’s Nest buzzed overhead, casting an eerie glow. Not the way Herrera went. A quick scan revealed a fire escape clinging to the brickwork. Of course. Quinn ascended the metal steps, each creak a deliberate challenge to the silence. The fire escape opened onto a flat roof overlooking the street. Herrera was gone. But the rooftop offered another line of sight, revealing a grate set into the pavement below. Steam rose from it, carrying the same metallic tang. A service access point. He’d gone down. She paused, debating. The air tasted wrong, thick with something beyond the usual London grime. It was a primal unease, a whisper against her instincts honed by years of navigating the city's darkness. Duty warred with a prickling sense of foreboding. Turning back, filing a report, getting a warrant – procedure. But procedure felt too slow, too distant. Too…safe. Quinn wasn’t built for safe. Her partner, DS Morris, had learned that the hard way. She tested the grate. It wasn't locked. Raising the heavy metal, a gust of warm, damp air emanated, laced with the scent of incense and dust. A narrow, rickety ladder descended into blackness. She drew a breath, the metallic tang now almost overpowering. And jumped. The ladder groaned under her weight. She descended slowly, deliberately, her hand instinctively going to the grip of her weapon. Each rung brought her further from the familiar world, deeper into a place where the law held little sway. The ladder deposited her onto a damp, concrete floor. She found herself in a long, low-ceilinged tunnel, dimly lit by flickering gas lamps. The air throbbed with a low hum, like a hive of unseen activity. The tunnel opened into a vast, cavernous space. The abandoned Tube station. The Veil Market. It was organized chaos. Stalls lined the platform, draped with shawls of deep indigo and crimson. Vendors hawked wares in hushed tones. Bottles filled with luminescent liquids, oddly shaped bones, and intricately carved objects lay displayed. People milled about, a bizarre assortment of faces. Some human, some…not. She recognized a few types from the case files she’d quietly collected: practitioners, collectors, the simply curious. And dealers, preying on all of them. Herrera was weaving through the crowd, his dark curly hair a stark contrast against the pale faces around him. He didn’t seem to be looking for anything, just moving with a purposeful stride. "Not stopping to window shop, then?" Quinn turned to face a small woman, meticulously arranging a display of dried herbs. The woman's eyes—a startling shade of violet—held a knowing glint. “Just passing through,” Quinn replied, keeping her voice level. The woman chuckled, a dry, rustling sound. “Everyone’s just passing through, detective. No one *lives* here. Not for long, anyway.” She ignored the jab, scanning the faces around them. Herrera had reached a stall tucked away in the darkest corner of the market. A large, hooded figure stood behind it, their face obscured by shadows. He handed something over – a small, silver object. A bone token. Quinn began to move, weaving between the stalls. A man with scaled skin and reptilian eyes glared at her as she passed, muttering something under his breath. A woman with hair like spun moonlight offered her a shimmering vial. "Looking for something, love? I’ve got just the thing to ease your troubles.” "Not today," Quinn said, focused solely on Herrera. He was now speaking in rapid, hushed tones with the hooded figure. The figure’s hands moved, counting out something – money, or something else. Whatever the exchange, it looked significant. Quinn closed the distance, pushing past a group haggling over a collection of antique rings. She was almost within earshot when a hand grabbed her arm—a grip like iron. “Lost, detective?” She spun around to face Tomás Herrera. His warm brown eyes met hers, devoid of any trace of the friendly doctor she’d encountered when patching up a few informants. He radiated a quiet confidence that hadn't been there before. “You’ve been busy,” she said, her voice tight. He offered a slow, disarming smile. “Just making a few contacts. It’s a small city, detective. You bump into people.” “A small city with hidden underground markets and clandestine deals. What did you trade for?” “Trade? I was simply admiring the craftsman’s work." He gestured vaguely at the hooded figure’s stall. “The bone token, Herrera? I know what it takes to get in here.” His smile faltered, the warmth vanishing. “And what if you do?” “What if I find out who you’re working with?” “You seem to be under the impression that I’m working *with* someone.” He stepped closer, his voice dropping to a whisper that was almost lost in the market’s din. "Perhaps you should consider what you might find, Detective. Some things are better left undisturbed." “You're awfully concerned with what I should or shouldn't do.” “I’m concerned about you. This isn’t a place for people like you.” He glanced at the worn leather watch on her left wrist. "You're a creature of order, Detective. This place… it defies it.” “Order is exactly what I’m here to restore.” “And you think you’ll find it down here?” Herrera’s eyes flickered to the hooded figure, then back to Quinn, his expression unreadable. “You’re playing a dangerous game, detective. And you’re starting to lose.”
created_at"2026-02-20T19:31:47.364Z" 2/20/2026, 7:31:47 PM
model"google/gemma-3-27b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency263
moderation_latency(null)
generation_time33467
tokens_prompt1164
tokens_completion1691
native_tokens_prompt1049
native_tokens_completion1451
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.0005402
router(null)
provider_responses
0
endpoint_id"db3af039-8c6e-4b32-bbf5-c858d644d1b5"
id"chatcmpl-46ab528e153249258e491182a3614c15"
is_byokfalse
latency263
model_permaslug"google/gemma-3-27b-it"
provider_name"Nebius"
status200
api_type"completions"
id"gen-1771615907-2OFtSI7ucYLgVKdzRwJt"
upstream_id"chatcmpl-46ab528e153249258e491182a3614c15"
total_cost0.0005402
cache_discount(null)
upstream_inference_cost0
provider_name"Nebius"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount1
adverbTags
0"He gestured vaguely [vaguely]"
dialogueSentences22
tagDensity0.364
leniency0.727
rawRatio0.125
effectiveRatio0.091
90.38% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1039
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"deliberately"
count1
highlights
0"slowly"
1"deliberately"
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)
3.75% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1039
totalAiIsms20
found
0
word"fractured"
count1
1
word"chill"
count1
2
word"unravel"
count1
3
word"tapestry"
count1
4
word"silence"
count1
5
word"whisper"
count2
6
word"navigating"
count1
7
word"sense of"
count1
8
word"foreboding"
count1
9
word"weight"
count1
10
word"familiar"
count1
11
word"throbbed"
count1
12
word"stark"
count1
13
word"glint"
count1
14
word"scanning"
count1
15
word"clandestine"
count1
16
word"warmth"
count1
17
word"flickered"
count1
18
word"unreadable"
count1
highlights
0"fractured"
1"chill"
2"unravel"
3"tapestry"
4"silence"
5"whisper"
6"navigating"
7"sense of"
8"foreboding"
9"weight"
10"familiar"
11"throbbed"
12"stark"
13"glint"
14"scanning"
15"clandestine"
16"warmth"
17"flickered"
18"unreadable"
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)
75.63% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences85
filterMatches
0"watch"
hedgeMatches
0"tended to"
1"seem to"
2"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences99
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords2
totalWords1033
ratio0.002
matches
0"lives"
1"with"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount838
uniqueNames17
maxNameDensity1.19
worstName"Herrera"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn9
Soho1
Herrera10
Tomás2
Rupert1
Street1
Browning1
Eighteen1
London2
Raven1
Nest1
Morris1
Tube1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Tomás"
4"Raven"
5"Nest"
6"Morris"
places
0"Soho"
1"Rupert"
2"Street"
3"London"
4"Market"
globalScore0.903
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1033
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences99
matches
0"learned that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean28.69
std18.93
cv0.66
sampleLengths
060
157
257
356
43
559
615
745
839
951
1047
1157
126
1324
149
1520
1647
1739
1813
198
2030
2129
222
2339
248
2520
2615
2716
2813
2911
309
3144
3210
3334
348
3533
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
totalVerbs149
matches
0"was weaving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences99
ratio0.061
matches
0"Ahead, a figure—Herrera, Tomás Herrera—darted across Rupert Street, disappearing into a narrow alleyway."
1"Turning back, filing a report, getting a warrant – procedure."
2"The woman's eyes—a startling shade of violet—held a knowing glint."
3"He handed something over – a small, silver object."
4"The figure’s hands moved, counting out something – money, or something else."
5"She was almost within earshot when a hand grabbed her arm—a grip like iron."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount844
adjectiveStacks1
stackExamples
0"long, low-ceilinged tunnel,"
adverbCount26
adverbRatio0.030805687203791468
lyAdverbCount15
lyAdverbRatio0.017772511848341232
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences99
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences99
mean10.43
std5.43
cv0.521
sampleLengths
018
112
217
313
414
513
63
74
810
913
1017
117
1215
135
1411
152
1613
1711
183
1916
209
214
223
233
2412
2518
268
2710
287
291
305
3110
324
333
3419
357
3610
372
386
3914
4019
419
4214
4313
448
454
463
474
4812
496
63.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.40404040404040403
totalSentences99
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences82
matches(empty)
ratio0
68.78% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences82
matches
0"Her trench coat, usually immaculate,"
1"She ran, boots splashing through"
2"she bit out, adjusting her"
3"He was a thread, and"
4"She pushed into the alley,"
5"It dead-ended at a heavy,"
6"He’d gone down."
7"She paused, debating."
8"It was a primal unease,"
9"Her partner, DS Morris, had"
10"She tested the grate."
11"It wasn't locked."
12"She drew a breath, the"
13"She descended slowly, deliberately, her"
14"She found herself in a"
15"It was organized chaos."
16"She recognized a few types"
17"He didn’t seem to be"
18"She ignored the jab, scanning"
19"He handed something over –"
ratio0.378
14.88% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences82
matches
0"Rain lashed against Detective Harlow"
1"Her trench coat, usually immaculate,"
2"She ran, boots splashing through"
3"she bit out, adjusting her"
4"this one felt different."
5"Herrera wasn’t just a cut-rate"
6"He was a thread, and"
7"She pushed into the alley,"
8"It dead-ended at a heavy,"
9"The distinctive green neon sign"
10"A quick scan revealed a"
11"Quinn ascended the metal steps,"
12"The fire escape opened onto"
13"Herrera was gone."
14"Steam rose from it, carrying"
15"A service access point."
16"He’d gone down."
17"She paused, debating."
18"The air tasted wrong, thick"
19"It was a primal unease,"
ratio0.89
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences82
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount0
matches(empty)
62.50% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount1
matches
0"she said, her voice tight"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences22
tagDensity0.136
leniency0.273
rawRatio0
effectiveRatio0
78.5517%