Run: 2026-05-10-01KR8VTVWSJFAMXEJP4FSF4QEM

Run Details

Duration:
8m 43s
Cost:
$0.000891
Provider:
Together

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The rain didn't just fall in Soho; it hammered, turning the asphalt into a black mirror that fractured every neon light into a thousand jagged shards. Detective Harlow Quinn didn't run—she pursued. Her stride was a study in military precision, boots striking the pavement in a rhythmic, punishing cadence. She kept her center of gravity low, her breath coming in controlled bursts that clouded in the frigid night air. Ahead of her, the suspect was losing ground. He was lean and desperate, his silhouette flickering through the haze of exhaust and drizzle. He banked a hard right, nearly slipping on a slick patch of oil, and bolted toward a narrow alleyway. Quinn didn't hesitate. She swung around the corner, her sharp jaw set, her brown eyes locked on the target. As she pushed deeper into the alley, the roar of the city muffled, replaced by the rhythmic drip of runoff from rusted fire escapes. She glanced at the worn leather watch on her left wrist. Two in the morning. The hour when the city stopped pretending to be civilized. The suspect reached a dead end—or what looked like one. He scrambled toward a heavy iron grate set into the brickwork of a defunct utility vault. With a grunt of effort, he heaved the grate aside and vanished into the dark maw of the underground. Quinn reached the opening and stopped. She knelt, the dampness of the concrete soaking through her trousers. The smell wafting up from the hole wasn't the usual scent of London sewers—sulfur and wet stone—but something sweeter, like old parchment and bruised lilies. It was a smell that triggered a cold, dormant knot of anxiety in her chest, a ghost of a memory from three years ago. She thought of DS Morris. She thought of the way his eyes had looked in those final seconds, wide with a terror that defied every police manual she had ever studied. Morris had disappeared into a void that left no forensic trail, leaving Quinn with a decorated record and a hollow center. She looked back at the street. The rain was intensifying, blurring the world into a gray smudge. If she called for backup, the suspect would be gone. If she waited for a warrant, the trail would go cold. The suspect was linked to the clique she had been hunting for months—a group that operated in the seams of the city, slipping through the cracks of the law and physics alike. Quinn gripped the edge of the grate, her knuckles white. She didn't believe in fairy tales, but she believed in evidence. And the evidence of her life told her that the most dangerous things lived in the dark. She slid into the hole. The descent was a steep, muddy scramble through a narrow concrete shaft. When her boots finally hit solid ground, she found herself in a wide, vaulted tunnel. The architecture was unmistakable: an abandoned Tube station beneath Camden. The tiles were cracked and peeling, the air thick with a damp, electric charge that made the fine hairs on her arms stand up. As she moved forward, the silence of the tunnel began to fray. A distant hum grew into a cacophony of voices, a bazaar of whispers and shouting in languages Quinn didn't recognize. She rounded a bend and stopped dead. The Veil Market spilled out before her, a subterranean city of canvas tents and flickering lanterns. It was a chaotic sprawl of illegal commerce. Figures hooded in heavy wool traded shimmering vials of iridescent liquid and heavy, leather-bound grimoires. There were stalls selling jewelry made of teeth and mirrors that seemed to reflect rooms that weren't there. The suspect was gone, swallowed by the throng of shoppers and vendors. Quinn felt a surge of vertigo. She was a detective of the Metropolitan Police; she dealt in fingerprints, CCTV, and sworn testimonies. Here, the laws of the surface world felt like a thin coat of paint peeling off a wall. "You're a long way from the precinct, Detective." The voice was soft, accented with a melodic Spanish lilt. Quinn spun around, her hand instinctively dropping to the holster at her hip. Standing a few feet away was a man with olive skin and short, curly dark brown hair. He wore a faded medical scrub top under a heavy utility jacket, and a Saint Christopher medallion hung around his neck, catching the amber light of a nearby lantern. He looked less like a criminal and more like a tired doctor, though his eyes—warm brown and perceptive—held a wary intelligence. "Tomás Herrera," Quinn said, her voice a sharp blade. "I remember your file. Unauthorized treatments. Medical license revoked." Tomás offered a small, tired smile. He shifted his weight, and the light caught a jagged scar running along his left forearm. "I prefer to think of it as practicing medicine without the burden of bureaucracy. What brings a decorated officer of the law to the Market? You don't have a bone token. You shouldn't even be able to see the entrance." "I followed a lead," Quinn replied, her gaze scanning the crowd behind him. "Where did he go?" Tomás sighed, glancing toward the deeper recesses of the station. "The man you're chasing isn't the kind of person you want to find down here, Harlow. In the Veil, the things we trade aren't just goods. They're debts. He's trying to buy his way out of a contract. If you interfere, you aren't just breaking a law—you're breaking a seal." Quinn stepped closer, her presence radiating a cold, disciplined authority. "I don't care about seals. I care about the three missing persons reports tied to the clique and the man who just ran down a hole in Soho. Now, you're going to tell me where he is, or I'm going to make sure your 'off-the-books' clinic becomes a very public crime scene." Tomás looked at her for a long moment. He saw the rigidity of her posture, the salt-and-pepper crop of her hair, and the desperation hidden behind the military precision of her gaze. He recognized that look. It was the look of someone who had lost something they couldn't name and was willing to burn the world down to find it. "He went toward the alchemists' row," Tomás said quietly, gesturing toward a tunnel where the air shimmered with a faint, violet hue. "But a word of advice, Detective. When you walk into the dark, don't expect the light to welcome you back." Quinn didn't thank him. She didn't even look back. She stepped into the violet haze, her boots clicking against the ancient stone, moving deeper into a world that defied every logic she had ever known, driven by the ghost of a partner and a need for an answer that no courtroom could provide.
created_at"2026-05-10T11:54:48.097Z" 5/10/2026, 11:54:48 AM
model"google/gemma-4-31b-it-20260402"
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external_user(null)
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cancelledfalse
latency4365
moderation_latency(null)
generation_time523118
tokens_prompt914
tokens_completion1673
native_tokens_prompt883
native_tokens_completion1429
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"
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usage0.0008911
router(null)
provider_responses
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is_byokfalse
latency4365
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Together"
status200
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Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount1
adverbTags
0"Tomás said quietly [quietly]"
dialogueSentences10
tagDensity0.3
leniency0.6
rawRatio0.333
effectiveRatio0.2
95.63% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1144
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"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)
47.55% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1144
totalAiIsms12
found
0
word"fractured"
count1
1
word"rhythmic"
count2
2
word"maw"
count1
3
word"electric"
count1
4
word"silence"
count1
5
word"cacophony"
count1
6
word"chaotic"
count1
7
word"lilt"
count1
8
word"weight"
count1
9
word"scanning"
count1
10
word"shimmered"
count1
highlights
0"fractured"
1"rhythmic"
2"maw"
3"electric"
4"silence"
5"cacophony"
6"chaotic"
7"lilt"
8"weight"
9"scanning"
10"shimmered"
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
narrationSentences66
matches(empty)
77.92% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences66
filterMatches
0"watch"
hedgeMatches
0"began to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences73
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen54
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1136
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount941
uniqueNames15
maxNameDensity1.28
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn12
London1
Morris2
Tube1
Camden1
Veil1
Market1
Metropolitan1
Police1
Spanish1
Saint1
Christopher1
Tomás4
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Market"
4"Saint"
5"Christopher"
6"Tomás"
places
0"Soho"
1"London"
globalScore0.862
windowScore0.833
65.25% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount2
matches
0"looked like one"
1"felt like a thin coat of paint peeling"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1136
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences73
matches
0"recognized that look"
75.22% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean47.33
std19.56
cv0.413
sampleLengths
069
142
268
345
466
552
670
738
85
961
1039
1157
1252
138
1423
1567
1618
1762
1817
1960
2062
2160
2242
2353
94.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences66
matches
0"was linked"
1"was gone"
68.42% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs152
matches
0"was losing"
1"was intensifying"
2"was willing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount2
flaggedSentences7
totalSentences73
ratio0.096
matches
0"The rain didn't just fall in Soho; it hammered, turning the asphalt into a black mirror that fractured every neon light into a thousand jagged shards."
1"Detective Harlow Quinn didn't run—she pursued."
2"The suspect reached a dead end—or what looked like one."
3"The smell wafting up from the hole wasn't the usual scent of London sewers—sulfur and wet stone—but something sweeter, like old parchment and bruised lilies."
4"The suspect was linked to the clique she had been hunting for months—a group that operated in the seams of the city, slipping through the cracks of the law and physics alike."
5"She was a detective of the Metropolitan Police; she dealt in fingerprints, CCTV, and sworn testimonies."
6"He looked less like a criminal and more like a tired doctor, though his eyes—warm brown and perceptive—held a wary intelligence."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount951
adjectiveStacks1
stackExamples
0"heavy, leather-bound grimoires."
adverbCount18
adverbRatio0.01892744479495268
lyAdverbCount5
lyAdverbRatio0.005257623554153523
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences73
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences73
mean15.56
std10.14
cv0.652
sampleLengths
026
16
217
320
48
515
619
73
816
924
1011
114
1210
1310
1416
1519
166
1711
1825
1924
205
2126
2221
236
2411
2510
2611
2732
2810
2911
3017
315
3212
3315
3410
3524
3612
3720
387
3916
408
4115
4218
4312
446
4516
4618
478
4810
4913
44.75% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.3424657534246575
totalSentences73
uniqueOpeners25
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences66
matches(empty)
ratio0
68.48% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences66
matches
0"Her stride was a study"
1"She kept her center of"
2"He was lean and desperate,"
3"He banked a hard right,"
4"She swung around the corner,"
5"She glanced at the worn"
6"He scrambled toward a heavy"
7"She knelt, the dampness of"
8"It was a smell that"
9"She thought of DS Morris."
10"She thought of the way"
11"She looked back at the"
12"She didn't believe in fairy"
13"She slid into the hole."
14"She rounded a bend and"
15"It was a chaotic sprawl"
16"She was a detective of"
17"He wore a faded medical"
18"He looked less like a"
19"He shifted his weight, and"
ratio0.379
43.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences66
matches
0"The rain didn't just fall"
1"Detective Harlow Quinn didn't run—she"
2"Her stride was a study"
3"She kept her center of"
4"He was lean and desperate,"
5"He banked a hard right,"
6"Quinn didn't hesitate."
7"She swung around the corner,"
8"She glanced at the worn"
9"The hour when the city"
10"The suspect reached a dead"
11"He scrambled toward a heavy"
12"Quinn reached the opening and"
13"She knelt, the dampness of"
14"The smell wafting up from"
15"It was a smell that"
16"She thought of DS Morris."
17"She thought of the way"
18"Morris had disappeared into a"
19"She looked back at the"
ratio0.833
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences66
matches
0"If she called for backup,"
1"If she waited for a"
ratio0.03
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount2
matches
0"The tiles were cracked and peeling, the air thick with a damp, electric charge that made the fine hairs on her arms stand up."
1"She stepped into the violet haze, her boots clicking against the ancient stone, moving deeper into a world that defied every logic she had ever known, driven by…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount2
matches
0"Quinn said, her voice a sharp blade"
1"Quinn replied, her gaze scanning the crowd behind him"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences10
tagDensity0.3
leniency0.6
rawRatio0
effectiveRatio0
75.2843%