Run: 2026-05-10-01KR91A8J2NKCGXARFNCVQH8Z8

Run Details

Duration:
1m 2s
Cost:
$0.001425
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 fell in thick, suffocating sheets, turning the Camden streets into a fractured mosaic of neon and oil. Quinn tightened her grip on the wet leather of her jacket, her boots slamming against the slick pavement. Ahead, the charcoal silhouette of the suspect darted between the shadows of a parked van and a brick tenement. He moved with a frantic, jerky energy that defied the heavy downpour. She checked the worn leather watch on her left wrist. The seconds ticked past, indifferent to the chase. Her lungs burned, the damp air scraping against her throat like sandpaper. She didn't slow. Her stride maintained a rhythmic, military precision even as the adrenaline surged through her veins. The suspect veered sharply into a narrow alleyway, a throat of darkness between two decaying buildings. Quinn pivoted, her heavy boots splashing through a deep puddle that sent a spray of grit against her shins. She reached for the holster at her hip, her fingers brushing the cold grip of her service weapon. A sudden movement caught her eye. The man didn't head for the street. He pressed himself against a rusted metal door, sliding a small, jagged object—a piece of carved bone—into the hand of a hooded figure waiting in the gloom. The door creaked open, swallowing him whole. Quinn reached the mouth of the alley, her breath coming in ragged, white plumes. The door clicked shut. The silence that followed felt heavier than the storm. She crouched low, scanning the brickwork. A flight of concrete stairs descended into the maw of an abandoned Tube station entrance. The stairs bled shadow, lit only by the distant, sickly green glow of a flickering streetlamp. The radio on her shoulder crackled with static. "Quinn, report. We lost your GPS signal near the Camden junction. Status?" She pressed the comms button, her eyes fixed on the dark descent. "Target entered the old station. I’m pursuing on foot." "Copy that. Stay in visual. Do not deviate from the perimeter. We don't have the clearance for subterranean sweeps." She cut the connection. The weight of the silence pressed against her ears. The descent felt endless. The walls transitioned from brick to grime-streaked tile, the scent of wet soot giving way to something more pungent. It smelled of old copper, dried lavender, and something unidentifiable—a musk like ozone before a lightning strike. The temperature climbed, the chill of the London rain replaced by a humid, stagnant warmth. A low hum vibrated through the soles of her boots. It wasn't the rumble of a passing train. It was a rhythmic, multi-tonal thrum, like a thousand whispered conversations layered into a single drone. The stairs opened into a wide, vaulted chamber. The abandoned station no longer felt abandoned. Flickering lanterns, suspended from rusted iron girders, cast long, dancing shadows across a sprawling labyrinth of stalls. The ceiling vanished into a haze of incense smoke. People moved through the aisles in a slow, deliberate tide. They weren't the usual Camden crowd. They wore heavy, layered fabrics, and their movements possessed a strange, synchronized grace. A man at a nearby stall leaned over a counter laden with jars of swirling, iridescent liquids. He held up a small, silver vial, the contents glowing with a soft, pulsing light. "Purest essence of nightshade. One drop settles the nerves. Two drops stop the heart." A woman in a tattered velvet cloak tapped a heavy coin on the glass. "Does it hold through the full moon?" "Stronger than the moon itself." Quinn pressed her back against a tiled pillar, her heart hammering a frantic rhythm against her ribs. This wasn't a crime scene. This was a different world. The suspect, the man in the charcoal coat, emerged from the crowd twenty yards ahead. He moved toward a section of the market where the shadows gathered thickest, near a stall draped in heavy, black silk. She peered around the pillar. A merchant with skin the color of bruised plums sat behind a table of jagged crystals. He watched the crowd with eyes that didn't seem to blink. He didn't look like a criminal; he looked like a predator waiting for the tide to turn. The target paused by the silk-draped stall, leaning in to speak to a figure obscured by the fabric. The exchange was silent, a mere tilt of the head, but the tension in the air tightened like a drawn bowstring. Quinn felt the familiar, cold knot of dread settle in her stomach—the same knot that had tightened three years ago when Morris disappeared into a void that the official reports couldn't name. Her hand drifted to her holster. The market breathed around her. A merchant shouted a price for something that sounded like dried teeth. A child ran past, trailing the scent of burnt sugar and sulfur. The sounds were muffled, as if the very walls absorbed the noise. She glanced back at the stairs. The way up was clear, a narrow strip of grey light leading back to the rain and the predictable laws of the Metropolitan Police. Down here, the laws felt thin, stretched to the breaking point by the sheer wrongness of the atmosphere. The suspect turned, his eyes scanning the crowd with a sudden, predatory sharpness. He looked directly toward the pillar where Quinn crouched. She froze, her muscles locking. He didn't see her—not yet—but his gaze lingered on the shadows, a predator sensing a shift in the wind. He turned back to the silk-draped stall and vanished into the interior. Quinn stared at the black fabric. The hum of the market grew louder, a physical pressure against her eardrums. She had a choice. She could climb back into the rain, file a report about a lost suspect and an unidentified gathering, and let the trail go cold. Or she could step into the light of the lanterns and follow him into the dark.
created_at"2026-05-10T13:30:35.471Z" 5/10/2026, 1:30:35 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency353
moderation_latency(null)
generation_time62149
tokens_prompt1140
tokens_completion3525
native_tokens_prompt1056
native_tokens_completion3220
native_tokens_completion_images(null)
native_tokens_reasoning2025
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)
usage0.00142528
router(null)
provider_responses
0
endpoint_id"03b96766-ef7e-454f-9519-c76b70654b49"
id"a7c48ff9fe113a68bc6bcf383e449803"
is_byokfalse
latency296
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"Novita"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778419835-5bMPBdD2pZwjZVOtpO1X"
session_id(null)
api_type"completions"
id"gen-1778419835-oXf7bWNhi8PmXsXdOjGB"
upstream_id"a7c48ff9fe113a68bc6bcf383e449803"
total_cost0.00142528
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
89.89% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount989
totalAiIsmAdverbs2
found
0
adverb"sharply"
count1
1
adverb"very"
count1
highlights
0"sharply"
1"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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount989
totalAiIsms26
found
0
word"fractured"
count1
1
word"mosaic"
count1
2
word"rhythmic"
count2
3
word"gloom"
count1
4
word"silence"
count2
5
word"scanning"
count2
6
word"maw"
count1
7
word"weight"
count1
8
word"chill"
count1
9
word"warmth"
count1
10
word"vibrated"
count1
11
word"dancing"
count1
12
word"synchronized"
count1
13
word"velvet"
count1
14
word"silk"
count3
15
word"predator"
count2
16
word"tension"
count1
17
word"familiar"
count1
18
word"stomach"
count1
19
word"predictable"
count1
highlights
0"fractured"
1"mosaic"
2"rhythmic"
3"gloom"
4"silence"
5"scanning"
6"maw"
7"weight"
8"chill"
9"warmth"
10"vibrated"
11"dancing"
12"synchronized"
13"velvet"
14"silk"
15"predator"
16"tension"
17"familiar"
18"stomach"
19"predictable"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"weight of words/silence"
count1
highlights
0"The weight of the silence"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences73
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences73
filterMatches
0"watch"
hedgeMatches
0"seem to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences79
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords983
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions14
wordCount917
uniqueNames7
maxNameDensity0.76
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden2
Tube1
London1
Morris1
Metropolitan1
Police1
Quinn7
persons
0"Morris"
1"Quinn"
places
0"London"
globalScore1
windowScore1
70.63% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount2
matches
0"looked like a predator waiting for the ti"
1"sounded like dried teeth"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount983
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences79
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean32.77
std18.96
cv0.579
sampleLengths
068
148
253
347
427
537
68
712
812
99
1019
1113
1255
1334
1415
1555
1632
1714
1814
197
205
2163
2249
2339
2438
2541
2648
2722
2836
2963
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences73
matches
0"were muffled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs137
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount1
flaggedSentences5
totalSentences79
ratio0.063
matches
0"He pressed himself against a rusted metal door, sliding a small, jagged object—a piece of carved bone—into the hand of a hooded figure waiting in the gloom."
1"It smelled of old copper, dried lavender, and something unidentifiable—a musk like ozone before a lightning strike."
2"He didn't look like a criminal; he looked like a predator waiting for the tide to turn."
3"Quinn felt the familiar, cold knot of dread settle in her stomach—the same knot that had tightened three years ago when Morris disappeared into a void that the official reports couldn't name."
4"He didn't see her—not yet—but his gaze lingered on the shadows, a predator sensing a shift in the wind."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount926
adjectiveStacks1
stackExamples
0"distant, sickly green glow"
adverbCount15
adverbRatio0.016198704103671708
lyAdverbCount4
lyAdverbRatio0.004319654427645789
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences79
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences79
mean12.44
std5.99
cv0.481
sampleLengths
019
118
219
312
410
58
612
73
815
916
1019
1118
126
137
1427
157
1614
174
189
196
2015
2116
228
2312
2412
259
2619
274
289
294
3019
3117
3215
3310
348
3516
368
377
3817
399
4010
416
4213
4317
4415
4514
4614
477
485
4917
33.54% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.24050632911392406
totalSentences79
uniqueOpeners19
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences73
matches(empty)
ratio0
66.58% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences73
matches
0"He moved with a frantic,"
1"She checked the worn leather"
2"Her lungs burned, the damp"
3"She didn't slow."
4"Her stride maintained a rhythmic,"
5"She reached for the holster"
6"He pressed himself against a"
7"She crouched low, scanning the"
8"She pressed the comms button,"
9"She cut the connection."
10"It smelled of old copper,"
11"It wasn't the rumble of"
12"It was a rhythmic, multi-tonal"
13"They weren't the usual Camden"
14"They wore heavy, layered fabrics,"
15"He held up a small,"
16"He moved toward a section"
17"She peered around the pillar."
18"He watched the crowd with"
19"He didn't look like a"
ratio0.384
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount69
totalSentences73
matches
0"The rain fell in thick,"
1"Quinn tightened her grip on"
2"He moved with a frantic,"
3"She checked the worn leather"
4"The seconds ticked past, indifferent"
5"Her lungs burned, the damp"
6"She didn't slow."
7"Her stride maintained a rhythmic,"
8"The suspect veered sharply into"
9"Quinn pivoted, her heavy boots"
10"She reached for the holster"
11"A sudden movement caught her"
12"The man didn't head for"
13"He pressed himself against a"
14"The door creaked open, swallowing"
15"Quinn reached the mouth of"
16"The door clicked shut."
17"The silence that followed felt"
18"She crouched low, scanning the"
19"A flight of concrete stairs"
ratio0.945
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount2
matches
0"Quinn pivoted, her heavy boots splashing through a deep puddle that sent a spray of grit against her shins."
1"Quinn felt the familiar, cold knot of dread settle in her stomach—the same knot that had tightened three years ago when Morris disappeared into a void that the …"
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
78.4881%