Run: 2026-05-10-01KR90VGQQN8VJGMTFMJES9V05

Run Details

Duration:
1m 2s
Cost:
$0.000887
Provider:
DeepInfra

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. It turned the asphalt into a black mirror and the neon signs into bleeding smears of light. Detective Harlow Quinn leaned into the wind, her breath coming in sharp, rhythmic plumes of white. She didn’t run with the frantic energy of a rookie; she moved with a calculated, military precision, her boots striking the pavement in a steady cadence that refused to falter. Forty yards ahead, the suspect—a gaunt man in a charcoal duster—was losing ground. He glanced back, his face a pale blur under the flicker of a dying streetlight, and his eyes widened with a flash of genuine panic. He wasn’t just running from a detective; he was running from something he feared. Harlow’s jaw tightened. She felt the familiar, cold knot of obsession tightening in her chest. Three years ago, DS Morris had vanished into a night exactly like this—wet, dark, and smelling of ozone and old exhaust. The official report had cited a random act of violence, but Harlow knew the gaps in the evidence. She knew the way the blood had pooled in patterns that defied gravity. She had spent eighteen years in the Met, and she knew when a crime scene was lying to her. The suspect veered sharply right, darting past the distinctive green neon sign of The Raven’s Nest. The bar was a known haunt for the city’s fringes, a place where the maps on the walls were outdated and the conversations were whispered. Harlow didn’t stop to look at the entrance. She tracked the man’s silhouette as he cut through a narrow alley, the walls closing in, slick with grime and ancient soot. She checked the worn leather watch on her left wrist. 02:14. The city was dead, save for the rain and the ghosts. The chase led her out of Soho and north toward Camden. The suspect was faster than he looked, weaving through the labyrinthine side streets with an intimate knowledge of the urban decay. He led her toward the derelict edges of the borough, where the streetlights were spaced further apart and the silence felt heavy, almost expectant. They reached a dead end—a brick wall topped with rusted concertina wire. The man stopped, his chest heaving. He didn't turn around. Instead, he stepped toward a heavy iron grate set into the ground, a relic of some forgotten utility line. He reached into his pocket, pulled out a small, bleached object, and pressed it against a recessed slot in the ironwork. There was a metallic click, a sound of heavy gears grinding beneath the earth. The grate slid aside with a guttural groan, revealing a concrete staircase that descended into a yawning black throat. The man vanished down the hole without a backward glance. Harlow reached the edge of the opening and stopped. The air rising from the shaft didn't smell like a sewer. It smelled of cinnamon, old parchment, and something metallic—like a copper coin resting on a tongue. She looked around. The alley was empty. The rain continued to lash her salt-and-pepper hair, pinning the cropped strands to her forehead. Every instinct honed by two decades of police work told her to stay put. She was alone, out of radio contact, and the suspect had just entered a space that didn't exist on any city blueprint. Protocol demanded she secure the perimeter and call for backup. But protocol hadn't found DS Morris. Harlow reached down and retrieved the object the man had dropped in his haste: a small, carved token made of human bone. It was warm to the touch, vibrating with a low-frequency hum that she felt in her teeth. She stared into the abyss of the stairwell. The darkness felt sentient, pressing against her, inviting her in. She thought of the unexplained circumstances of Morris's death, the way the case had been scrubbed by superiors who didn't want the truth to leak. The "clique" she had been tracking—the shadow players who moved through London like ink in water—were here. She didn't call for backup. She didn't wait for the sun. Harlow shifted her grip on her service weapon, the weight of the Glock a comforting anchor in a world that was suddenly drifting off its axis. She stepped onto the first stair. The descent was long. The concrete gave way to smoothed obsidian, and the sound of the rain faded, replaced by a distant, rhythmic thrumming, like the heartbeat of a subterranean giant. As she reached the bottom, the tunnel opened into a vast, vaulted cavern. This was the Veil Market. It was a fever dream of commerce. Stalls carved from driftwood and rusted iron lined the perimeter of an abandoned Tube station, the tiled walls cracked and weeping salt. Thousands of floating lanterns cast a bruised purple light over the crowd. These weren't the homeless or the derelicts of Camden; these were things that wore human skin like poorly tailored suits. There were men with eyes like polished opals and women whose shadows moved independently of their bodies. They traded in things that made Harlow’s skin crawl: jars of captured whispers, vials of shimmering silver liquid, and scrolls of skin etched with ink that pulsed like a vein. The atmosphere was thick with the scent of incense and decay. Harlow felt a sudden, overwhelming sense of exposure. In the world above, she was the predator—the decorated detective with the sharp jaw and the military bearing. Here, she was a trespasser. She was a flicker of mundane light in a place built of shadows. She spotted her suspect. He was weaving through the crowd toward a vendor who was polishing a set of ivory spheres. The man looked relieved, thinking he had escaped the reach of the law. Harlow pressed her back against a soot-stained pillar, her eyes scanning the market. She saw a man with olive skin and curly dark hair leaning against a nearby stall, a Saint Christopher medallion catching the purple light. He watched her with an expression of weary pity, as if he knew exactly how this story ended for people like her. She took a breath, centering herself. The fear was there, but it was secondary to the drive. She had spent three years staring at a cold case file, wondering why her partner had been erased from existence. If the answers were buried in this nightmare of a market, she would tear the whole place down to find them. Harlow stepped out from the shadows and began to move, her boots clicking softly on the obsidian floor, closing the distance between the law and the impossible.
created_at"2026-05-10T13:22:32.318Z" 5/10/2026, 1:22:32 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency252
moderation_latency(null)
generation_time61926
tokens_prompt914
tokens_completion2326
native_tokens_prompt867
native_tokens_completion2038
native_tokens_completion_images(null)
native_tokens_reasoning681
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)
usage0.00088715
router(null)
provider_responses
0
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-R2y52osYDj9Xk51677KfQFly"
is_byokfalse
latency57
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778419352-xtyAR4jOpVA5QkyxmIXK"
session_id(null)
api_type"completions"
id"gen-1778419352-PTKB4lR3iGRbuLmha14K"
upstream_id"chatcmpl-R2y52osYDj9Xk51677KfQFly"
total_cost0.00088715
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
86.52% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1113
totalAiIsmAdverbs3
found
0
adverb"sharply"
count1
1
adverb"suddenly"
count1
2
adverb"softly"
count1
highlights
0"sharply"
1"suddenly"
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)
37.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1113
totalAiIsms14
found
0
word"rhythmic"
count2
1
word"calculated"
count1
2
word"flicker"
count2
3
word"familiar"
count1
4
word"silence"
count1
5
word"weight"
count1
6
word"comforting"
count1
7
word"etched"
count1
8
word"pulsed"
count1
9
word"sense of"
count1
10
word"predator"
count1
11
word"scanning"
count1
highlights
0"rhythmic"
1"calculated"
2"flicker"
3"familiar"
4"silence"
5"weight"
6"comforting"
7"etched"
8"pulsed"
9"sense of"
10"predator"
11"scanning"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences77
matches
0"looked relieved"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences77
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences77
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1106
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount1105
uniqueNames15
maxNameDensity1
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Soho2
Harlow11
Quinn1
Morris3
Met1
Raven1
Nest1
Camden2
London1
Glock1
Veil1
Market1
Tube1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Raven"
4"Saint"
5"Christopher"
places
0"Soho"
1"Met"
2"Camden"
3"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1106
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences77
matches(empty)
87.06% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean46.08
std20.95
cv0.455
sampleLengths
072
152
286
371
422
556
662
743
836
968
106
1139
1260
1311
1432
1544
165
1761
1847
1955
2034
2159
2258
2327
82.48% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences77
matches
0"were outdated"
1"were whispered"
2"were spaced"
3"been scrubbed"
4"been erased"
5"were buried"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount7
totalVerbs188
matches
0"was losing"
1"was running"
2"wasn’t just running"
3"was lying"
4"was suddenly drifting"
5"was weaving"
6"was polishing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount4
flaggedSentences10
totalSentences77
ratio0.13
matches
0"The rain didn’t just fall in Soho; it hammered."
1"She didn’t run with the frantic energy of a rookie; she moved with a calculated, military precision, her boots striking the pavement in a steady cadence that refused to falter."
2"Forty yards ahead, the suspect—a gaunt man in a charcoal duster—was losing ground."
3"He wasn’t just running from a detective; he was running from something he feared."
4"Three years ago, DS Morris had vanished into a night exactly like this—wet, dark, and smelling of ozone and old exhaust."
5"They reached a dead end—a brick wall topped with rusted concertina wire."
6"It smelled of cinnamon, old parchment, and something metallic—like a copper coin resting on a tongue."
7"The \"clique\" she had been tracking—the shadow players who moved through London like ink in water—were here."
8"These weren't the homeless or the derelicts of Camden; these were things that wore human skin like poorly tailored suits."
9"In the world above, she was the predator—the decorated detective with the sharp jaw and the military bearing."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1116
adjectiveStacks1
stackExamples
0"sentient, pressing against her,"
adverbCount21
adverbRatio0.01881720430107527
lyAdverbCount8
lyAdverbRatio0.007168458781362007
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences77
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences77
mean14.36
std7.21
cv0.502
sampleLengths
09
117
216
330
413
525
614
73
812
921
1018
1113
1219
1316
1425
158
1622
1710
181
1911
2011
2121
2224
2312
246
254
2619
2721
2814
2919
3010
319
3211
3316
343
354
3615
3714
3822
3910
406
4122
4217
438
4410
4525
4617
475
486
4926
35.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.2894736842105263
totalSentences76
uniqueOpeners22
43.86% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences76
matches
0"Instead, he stepped toward a"
ratio0.013
56.84% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences76
matches
0"It turned the asphalt into"
1"She didn’t run with the"
2"He glanced back, his face"
3"He wasn’t just running from"
4"She felt the familiar, cold"
5"She knew the way the"
6"She had spent eighteen years"
7"She tracked the man’s silhouette"
8"She checked the worn leather"
9"He led her toward the"
10"They reached a dead end—a"
11"He didn't turn around."
12"He reached into his pocket,"
13"It smelled of cinnamon, old"
14"She looked around."
15"She was alone, out of"
16"It was warm to the"
17"She stared into the abyss"
18"She thought of the unexplained"
19"She didn't call for backup."
ratio0.408
25.79% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount66
totalSentences76
matches
0"The rain didn’t just fall"
1"It turned the asphalt into"
2"Detective Harlow Quinn leaned into"
3"She didn’t run with the"
4"He glanced back, his face"
5"He wasn’t just running from"
6"Harlow’s jaw tightened."
7"She felt the familiar, cold"
8"The official report had cited"
9"She knew the way the"
10"She had spent eighteen years"
11"The suspect veered sharply right,"
12"The bar was a known"
13"Harlow didn’t stop to look"
14"She tracked the man’s silhouette"
15"She checked the worn leather"
16"The city was dead, save"
17"The chase led her out"
18"The suspect was faster than"
19"He led her toward the"
ratio0.868
65.79% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences76
matches
0"If the answers were buried"
ratio0.013
64.94% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount6
matches
0"She didn’t run with the frantic energy of a rookie; she moved with a calculated, military precision, her boots striking the pavement in a steady cadence that re…"
1"The grate slid aside with a guttural groan, revealing a concrete staircase that descended into a yawning black throat."
2"She thought of the unexplained circumstances of Morris's death, the way the case had been scrubbed by superiors who didn't want the truth to leak."
3"Harlow shifted her grip on her service weapon, the weight of the Glock a comforting anchor in a world that was suddenly drifting off its axis."
4"They traded in things that made Harlow’s skin crawl: jars of captured whispers, vials of shimmering silver liquid, and scrolls of skin etched with ink that puls…"
5"Harlow stepped out from the shadows and began to move, her boots clicking softly on the obsidian floor, closing the distance between the law and the impossible."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
79.3303%