Run: 2026-05-10-01KR90TMK53SRDVXKJBFWQW81R

Run Details

Duration:
32.5s
Cost:
$0.000770
Provider:
Venice

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 the pavement, turning the grit of Soho into a slick, black sludge. Detective Harlow Quinn gripped the collar of her trench coat, her boots skidding against a metal drain cover. Ahead, a silhouette darted between a row of parked cars, the figure’s movements jagged and frantic. "Freeze! Metropolitan Police!" The shout dissolved into the roar of a passing bus. The suspect didn't even flinch. He lunged across an intersection, his heavy boots splashing through a deep puddle that sent a spray of oily water against Quinn’s trousers. She pushed her stride, her lungs burning with the damp, heavy air. Her military precision usually dictated her pace, but the adrenaline stripped away the discipline, leaving only the raw, predatory instinct of the hunt. She rounded a corner, her shoulder clipping a brick wall. The scent of stale beer and wet cardboard hung thick in the alleyway. The suspect vanished behind a stack of wooden pallets. Quinn slowed, her hand sliding toward the holster at her hip. Her brown eyes scanned the shadows, searching for the tell-tale shimmer of movement. A sudden, rhythmic thudding echoed from beneath her feet. The ground vibrated, a low-frequency tremor that rattled the teeth in her skull. The suspect reappeared, not running along the street, but diving toward a rusted service hatch tucked behind a dumpster. He moved with a terrifying familiarity, sliding into the darkness of the sub-level with the ease of a man returning home. Quinn lunged for the hatch, but her fingers met only cold, wet iron. The heavy metal door slammed shut with a finality that echoed up the alley. A padlock clicked into place from the underside. She knelt, pressing her ear to the metal. Faint, muffled sounds drifted through the grate—not the sounds of a sewer or a basement, but the chaotic hum of a crowd. Distant laughter, the clatter of metal on stone, and a strange, melodic chanting drifted up through the vents. The streetlights flickered, casting long, skeletal shadows across the damp brickwork. Quinn stood, wiping rain from her brow. The scent of the alley shifted. The stench of urban decay vanished, replaced by something sharp and metallic, like copper and ozone. She found the service entrance a block away, a nondescript door marked with a faded stencil. It groaned as she forced it open. Instead of a staircase, a narrow, descending passage of rough-hewn stone met her. The air grew warmer, thicker, carrying the scent of incense and scorched earth. As she descended, the sounds grew deafening. The muffled hum transformed into a roar of commerce. She reached the bottom of the stairs and froze. The abandoned Tube station beneath Camden stretched out before her, but the grime and decay of the London Underground had been replaced by a fever dream of light and shadow. Stalls carved from dark wood and bone lined the platforms. Eerie, violet lanterns hung from the ceiling, casting long, dancing shadows that seemed to move independently of the objects casting them. People moved through the aisles in a frantic, rhythmic dance. Some wore heavy, hooded cloaks that obscured their features, while others moved with a grace that felt fundamentally wrong, their limbs slightly too long, their skin reflecting the violet light like polished marble. A man in a tattered waistcoat leaned over a stall, handing a small, pulsing vial to a hooded figure. In exchange, the figure dropped a heavy, ivory-colored object onto the counter. Quinn stepped back into the shadow of a concrete pillar, her heart hammering a frantic rhythm against her ribs. This wasn't a gang hideout. This wasn't a drug den. This was something else entirely. Her mind raced through the files on her desk. The unexplained disappearances. The strange energy readings from the Morris case. The patterns she couldn't map, the whispers in the precinct that she'd dismissed as urban legend. The suspect she had been chasing—a low-level informant with ties to the city's occult underground—moved through the crowd with practiced ease. He didn't look back. He navigated the labyrinth of stalls, weaving between a merchant selling jars of shimmering, iridescent dust and a woman chanting over a bowl of dark, viscous liquid. Quinn gripped the handle of her flashlight, her knuckles white. She felt the weight of her badge, a piece of tin that felt increasingly useless in this subterranean bazaar. To follow him meant descending into a world where the rules of the Metropolitan Police carried no weight. It meant stepping past the threshold of everything she understood about reality. The suspect stopped at a stall draped in heavy, crimson velvet. He reached into his pocket and pulled out a small, carved bone token. He pressed it into the hand of a towering figure whose face remained lost in the depths of a cowl. The figure nodded, gesturing toward a dark tunnel that veered off from the main platform. The suspect disappeared into the gloom. Quinn watched the entrance to the tunnel. The violet light from the lanterns flickered, casting a rhythmic, pulsing glow across the station floor. The air felt heavy, pressing against her skin like a physical weight. She thought of Morris. She thought of the way the light had died in his eyes, not from a bullet, but from something that had seemed to drain the very life from the room. Her hand drifted to her left wrist, fingers brushing the worn leather of her watch. The seconds ticked away, a steady, grounding rhythm in the chaos. She took a step forward, her boots clicking softly on the stone. The violet light swallowed her shadow. She moved away from the main thoroughfare, leaving the safety of the known behind, and drifted into the crowd toward the dark tunnel.
created_at"2026-05-10T13:22:03.502Z" 5/10/2026, 1:22:03 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency688
moderation_latency(null)
generation_time32413
tokens_prompt1140
tokens_completion1477
native_tokens_prompt1058
native_tokens_completion1197
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.000770425
router(null)
provider_responses
0
endpoint_id"2e9daaa4-87bf-49f7-a44a-2c1d617c2c51"
id"chatcmpl-8df2fcdb6b23a268"
is_byokfalse
latency688
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"Venice"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778419323-iH9u0nYN9UwTomGpxLEJ"
session_id(null)
api_type"completions"
id"gen-1778419323-zNl59NzukcWbHzOqI3DB"
upstream_id"chatcmpl-8df2fcdb6b23a268"
total_cost0.000770425
cache_discount(null)
upstream_inference_cost0
provider_name"Venice"
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
84.38% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount960
totalAiIsmAdverbs3
found
0
adverb"slightly"
count1
1
adverb"very"
count1
2
adverb"softly"
count1
highlights
0"slightly"
1"very"
2"softly"
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)
wordCount960
totalAiIsms22
found
0
word"scanned"
count1
1
word"rhythmic"
count3
2
word"echoed"
count2
3
word"vibrated"
count1
4
word"chaotic"
count1
5
word"flickered"
count2
6
word"dancing"
count1
7
word"dance"
count1
8
word"marble"
count1
9
word"raced"
count1
10
word"practiced ease"
count1
11
word"navigated"
count1
12
word"weight"
count3
13
word"velvet"
count1
14
word"depths"
count1
15
word"gloom"
count1
highlights
0"scanned"
1"rhythmic"
2"echoed"
3"vibrated"
4"chaotic"
5"flickered"
6"dancing"
7"dance"
8"marble"
9"raced"
10"practiced ease"
11"navigated"
12"weight"
13"velvet"
14"depths"
15"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
narrationSentences71
matches(empty)
82.49% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences71
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)
analyzedSentences72
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
totalWords957
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount954
uniqueNames10
maxNameDensity0.84
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn8
Tube1
Camden1
London1
Underground1
Morris2
Metropolitan1
Police1
persons
0"Harlow"
1"Quinn"
2"Camden"
3"Underground"
4"Morris"
5"Police"
places
0"Soho"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount1
matches
0"shadows that seemed to move independently of the objects casting them"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords3.135
wordCount957
matches
0"not running along the street, but diving toward a rusted service hatch tucked behind a dumpste"
1"not the sounds of a sewer or a basement, but the chaotic hum of a crowd"
2"not from a bullet, but from something"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences72
matches(empty)
62.98% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean39.88
std14.77
cv0.37
sampleLengths
049
13
273
356
422
540
635
748
840
949
1025
1161
1243
1331
1434
1536
1652
1759
1844
1921
2035
2134
2226
2341
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences71
matches
0"been replaced"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs143
matches(empty)
63.49% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences72
ratio0.028
matches
0"Faint, muffled sounds drifted through the grate—not the sounds of a sewer or a basement, but the chaotic hum of a crowd."
1"The suspect she had been chasing—a low-level informant with ties to the city's occult underground—moved through the crowd with practiced ease."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount962
adjectiveStacks2
stackExamples
0"heavy, ivory-colored object"
1"heavy, pressing against her"
adverbCount17
adverbRatio0.017671517671517672
lyAdverbCount10
lyAdverbRatio0.010395010395010396
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences72
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences72
mean13.29
std6.66
cv0.501
sampleLengths
015
118
216
33
410
55
623
712
823
910
1013
119
1211
1313
149
1513
1619
1721
1813
1914
208
218
2222
2318
2411
257
266
2716
2816
297
3013
3113
327
339
349
3530
3610
3721
3810
3933
4019
4112
4219
435
445
455
469
473
488
4916
31.48% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3055555555555556
totalSentences72
uniqueOpeners22
46.95% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences71
matches
0"Instead of a staircase, a"
ratio0.014
96.06% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences71
matches
0"He lunged across an intersection,"
1"She pushed her stride, her"
2"Her military precision usually dictated"
3"She rounded a corner, her"
4"Her brown eyes scanned the"
5"He moved with a terrifying"
6"She knelt, pressing her ear"
7"She found the service entrance"
8"It groaned as she forced"
9"She reached the bottom of"
10"Her mind raced through the"
11"He didn't look back."
12"He navigated the labyrinth of"
13"She felt the weight of"
14"It meant stepping past the"
15"He reached into his pocket"
16"He pressed it into the"
17"She thought of Morris."
18"She thought of the way"
19"Her hand drifted to her"
ratio0.31
16.34% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences71
matches
0"Rain lashed against the pavement,"
1"Detective Harlow Quinn gripped the"
2"The shout dissolved into the"
3"The suspect didn't even flinch."
4"He lunged across an intersection,"
5"She pushed her stride, her"
6"Her military precision usually dictated"
7"She rounded a corner, her"
8"The scent of stale beer"
9"The suspect vanished behind a"
10"Quinn slowed, her hand sliding"
11"Her brown eyes scanned the"
12"A sudden, rhythmic thudding echoed"
13"The ground vibrated, a low-frequency"
14"The suspect reappeared, not running"
15"He moved with a terrifying"
16"Quinn lunged for the hatch,"
17"The heavy metal door slammed"
18"A padlock clicked into place"
19"She knelt, pressing her ear"
ratio0.887
70.42% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences71
matches
0"To follow him meant descending"
ratio0.014
55.39% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount6
matches
0"He lunged across an intersection, his heavy boots splashing through a deep puddle that sent a spray of oily water against Quinn’s trousers."
1"The ground vibrated, a low-frequency tremor that rattled the teeth in her skull."
2"Eerie, violet lanterns hung from the ceiling, casting long, dancing shadows that seemed to move independently of the objects casting them."
3"Some wore heavy, hooded cloaks that obscured their features, while others moved with a grace that felt fundamentally wrong, their limbs slightly too long, their…"
4"She felt the weight of her badge, a piece of tin that felt increasingly useless in this subterranean bazaar."
5"The figure nodded, gesturing toward a dark tunnel that veered off from the main platform."
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
79.9329%