Run: 2026-05-10-01KR8XC02TZ98AZ98K9ZM0NTAM

Run Details

Duration:
1m 20s
Cost:
$0.000537
Provider:
DekaLLM

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 in London didn't just fall; it hammered, a relentless, rhythmic assault that turned the city into a smear of neon and charcoal. Detective Harlow Quinn pulled the collar of her trench coat higher, though it did little to stave off the damp chill seeping into her bones. She stood in the shadow of a brick alcove, her eyes fixed on the figure moving across the street. Tomás Herrera was hard to miss, even in the gloom. His olive skin seemed to catch what little light the streetlamps offered, and his movements possessed a restless, nervous energy that set Quinn’s teeth on edge. He wasn't acting like a man running a simple errand. He was acting like a man looking over his shoulder, a man who knew the shadows had teeth. Quinn checked her left wrist. The worn leather strap of her watch felt heavy, a grounding weight against the creeping sensation that the world was tilting on its axis. She had been trailing him for three weeks, ever since a series of encrypted communications had linked the former paramedic to the clique. Every lead she followed led to a dead end, or worse, to a feeling of profound wrongness—the kind of unease that had preceded the night DS Morris died. Morris had been a man of facts, of ballistics and blood spatter. He hadn't believed in ghosts or shadows that moved against the wind. But Quinn remembered the look in his eyes in those final seconds—a terror that had nothing to do with a caliber of bullet. Herrera suddenly pivoted, ducking into a narrow alleyway between a closed tailor shop and a derelict pub. Quinn didn't hesitate. She moved with the practiced, military precision that had defined her eighteen years of service. She didn't call for backup; there was no backup for a ghost hunt. She stepped out into the deluge, her boots splashing through oily puddles, and followed him into the dark. The alley was a throat of wet brick and overflowing bins. Herrera was fast, his short, curly hair plastered to his forehead, his breath coming in ragged plumes of white vapor. He moved with a desperate agility, vaulting over a crate and ducking behind a heavy steel door. "Police! Stop!" Quinn’s voice was low, a command rather than a shout, projecting authority even through the roar of the rain. She heard the heavy thud of the steel door slamming shut, followed by the screech of a bolt sliding home. She reached the door seconds later, her hand hovering over the holster at her hip. The metal was ice-cold. She braced herself, gripped the handle, and shoved. The door didn't lead to a warehouse or a backroom. It led to a descent. The staircase was a concrete spiral, slick with condensation and smelling of ancient, stagnant water. The sound of the rain vanished, replaced by a heavy, pressurized silence that made her ears pop. As she descended, the temperature dropped. This wasn't the chill of a London autumn; it was the cold of a tomb. She reached the bottom of the stairs and found herself in a sprawling, subterranean expanse. It was an abandoned Tube station, the tiles cracked and weeping moisture, the tracks long since swallowed by shadows and debris. But the darkness wasn't empty. Faint, flickering lights—colors Quinn couldn't quite name, hues that felt bruised and unnatural—danced along the edges of her vision. The air was thick with a sensory assault: the smell of scorched ozone, dried herbs, and something metallic, like old coins. Then she saw him. Herrera was several yards ahead, moving through a labyrinth of makeshift stalls and draped fabrics that had been erected among the crumbling pillars of the station. Quinn froze. This wasn't a squat. This wasn't a drug den. A man passed her, draped in heavy, moth-eaten velvet. As he brushed by, Quinn caught a glimpse of what he was carrying: a jar filled with something that pulsed with a faint, rhythmic light, like a heartbeat trapped in glass. She blinked, and he was gone, swallowed by the shifting crowd. The market was a fever dream. People moved in a choreographed chaos, their faces obscured by hoods or masks. There were no voices, only a low, communal hum that vibrated in the soles of her boots. She saw a woman in the corner of her eye exchanging a small, intricately carved object for a handful of silver coins that looked far too old to be in circulation. Herrera stopped at a stall draped in heavy black silk. A figure stood behind the counter, their features lost in the deep shadows of a hood. Quinn watched, her heart hammering against her ribs, as Herrera reached into his pocket. He pulled out a small, jagged object—a bone token, white and polished to a high sheen. He handed it over. The hooded figure took it, and in exchange, a small, pulsing vial was pressed into Herrera's palm. Herrera clutched it to his chest, his eyes wide, his expression a mixture of reverence and absolute dread. Quinn felt the hair on her arms stand up. This was it. This was the source. The clique wasn't just running a criminal enterprise; they were operating in the margins of reality itself. She stepped forward, her hand instinctively gripping the butt of her service weapon. The metal felt useless here, a blunt instrument against a tide of something she didn't understand. As she moved, a sudden, sharp sensation pierced her mind—a flash of Morris, standing in a doorway, his face dissolving into something dark and shapeless. She gasped, stumbling against a concrete pillar. The contact sent a jolt of static through her, and for a second, the market blurred. The stalls seemed to breathe, the shadows stretching toward her like grasping fingers. "Who's there?" a voice hissed. It wasn't a human voice; it sounded like dry leaves skittering over pavement. Quinn straightened, her jaw set in a hard line. She forced the memory of Morris into a small, locked box in her mind. She was a detective. She dealt in evidence. She dealt in the tangible. But as she looked around the Veil Market, she realized the rules had changed. Herrera was moving again, heading deeper into the tunnels, toward a part of the station where the shadows seemed solid, where the light of the strange, bruised lanterns couldn't reach. She stood at the crossroads of two lives. To follow him was to step entirely off the map, to abandon the jurisdiction of the Metropolitan Police and enter a realm where her badge meant nothing and her life might be the price of entry. To stay in the light was to remain safe, but it was also to remain blind, to let the thing that killed Morris continue its work in the dark. The rain from the world above felt a lifetime away. Here, in the belly of the city, the air tasted of secrets. Quinn took a breath, tasted the ozone and the ash, and stepped into the dark.
created_at"2026-05-10T12:21:38.019Z" 5/10/2026, 12:21:38 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency704
moderation_latency(null)
generation_time80039
tokens_prompt914
tokens_completion3016
native_tokens_prompt813
native_tokens_completion1480
native_tokens_completion_images(null)
native_tokens_reasoning1209
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)
usage0.00053718
router(null)
provider_responses
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endpoint_id"d99bcbe6-bec3-4991-965e-45fea79fe63c"
id"chatcmpl-4ee035a5fb088f6ee1ece165d659dde3"
is_byokfalse
latency704
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"DekaLLM"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778415698-otGOvYT4zT3U5sce4fEU"
session_id(null)
api_type"completions"
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upstream_id"chatcmpl-4ee035a5fb088f6ee1ece165d659dde3"
total_cost0.00053718
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provider_name"DekaLLM"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences2
tagDensity1
leniency1
rawRatio0
effectiveRatio0
95.77% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1181
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
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)
44.96% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1181
totalAiIsms13
found
0
word"rhythmic"
count2
1
word"chill"
count2
2
word"gloom"
count1
3
word"weight"
count1
4
word"profound"
count1
5
word"silence"
count1
6
word"velvet"
count1
7
word"pulsed"
count1
8
word"vibrated"
count1
9
word"silk"
count1
10
word"tangible"
count1
highlights
0"rhythmic"
1"chill"
2"gloom"
3"weight"
4"profound"
5"silence"
6"velvet"
7"pulsed"
8"vibrated"
9"silk"
10"tangible"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences82
matches(empty)
90.59% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences82
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)
analyzedSentences82
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1175
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
94.49% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount1171
uniqueNames10
maxNameDensity1.11
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
London2
Harlow1
Quinn13
Herrera9
Morris5
Tube1
Veil1
Market1
Metropolitan1
Police1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Morris"
4"Market"
places
0"London"
globalScore0.945
windowScore1
36.36% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount3
matches
0"quite name, hues that felt bruised and unnatural—danced along the edges of her vision"
1"sounded like dry leaves skittering over pa"
2"seemed solid where the light of the strange, bruised lanterns couldn't reach"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1175
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences82
matches(empty)
86.84% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean41.96
std19.05
cv0.454
sampleLengths
068
164
280
347
417
549
648
721
847
915
1053
1141
1240
1330
1411
1551
1667
1756
1839
1933
2029
2161
2218
2350
2430
2573
2622
2715
92.43% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences82
matches
0"been erected"
1"was gone"
2"was pressed"
34.98% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs202
matches
0"was acting"
1"was tilting"
2"was carrying"
3"were operating"
4"wasn't just running"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount5
flaggedSentences10
totalSentences82
ratio0.122
matches
0"The rain in London didn't just fall; it hammered, a relentless, rhythmic assault that turned the city into a smear of neon and charcoal."
1"Every lead she followed led to a dead end, or worse, to a feeling of profound wrongness—the kind of unease that had preceded the night DS Morris died."
2"But Quinn remembered the look in his eyes in those final seconds—a terror that had nothing to do with a caliber of bullet."
3"She didn't call for backup; there was no backup for a ghost hunt."
4"This wasn't the chill of a London autumn; it was the cold of a tomb."
5"Faint, flickering lights—colors Quinn couldn't quite name, hues that felt bruised and unnatural—danced along the edges of her vision."
6"He pulled out a small, jagged object—a bone token, white and polished to a high sheen."
7"The clique wasn't just running a criminal enterprise; they were operating in the margins of reality itself."
8"As she moved, a sudden, sharp sensation pierced her mind—a flash of Morris, standing in a doorway, his face dissolving into something dark and shapeless."
9"It wasn't a human voice; it sounded like dry leaves skittering over pavement."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1179
adjectiveStacks1
stackExamples
0"heavy, moth-eaten velvet."
adverbCount17
adverbRatio0.01441899915182358
lyAdverbCount8
lyAdverbRatio0.006785411365564037
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences82
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences82
mean14.33
std7.83
cv0.546
sampleLengths
024
125
219
310
426
510
618
75
824
923
1028
1112
1212
1323
1417
153
1615
1713
1818
1911
2020
2117
2221
2320
2415
254
268
2710
285
2915
3017
316
3215
3315
3421
355
3619
3721
384
3926
402
414
425
439
4431
4511
466
4713
4817
4931
34.15% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.2804878048780488
totalSentences82
uniqueOpeners23
41.15% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences81
matches
0"Then she saw him."
ratio0.012
81.73% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences81
matches
0"She stood in the shadow"
1"His olive skin seemed to"
2"He wasn't acting like a"
3"He was acting like a"
4"She had been trailing him"
5"He hadn't believed in ghosts"
6"She moved with the practiced,"
7"She didn't call for backup;"
8"She stepped out into the"
9"He moved with a desperate"
10"She heard the heavy thud"
11"She reached the door seconds"
12"She braced herself, gripped the"
13"It led to a descent."
14"She reached the bottom of"
15"It was an abandoned Tube"
16"She blinked, and he was"
17"She saw a woman in"
18"He pulled out a small,"
19"He handed it over."
ratio0.346
27.90% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount70
totalSentences81
matches
0"The rain in London didn't"
1"Detective Harlow Quinn pulled the"
2"She stood in the shadow"
3"Tomás Herrera was hard to"
4"His olive skin seemed to"
5"He wasn't acting like a"
6"He was acting like a"
7"Quinn checked her left wrist."
8"The worn leather strap of"
9"She had been trailing him"
10"Every lead she followed led"
11"Morris had been a man"
12"He hadn't believed in ghosts"
13"Herrera suddenly pivoted, ducking into"
14"Quinn didn't hesitate."
15"She moved with the practiced,"
16"She didn't call for backup;"
17"She stepped out into the"
18"The alley was a throat"
19"Herrera was fast, his short,"
ratio0.864
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences81
matches
0"To follow him was to"
1"To stay in the light"
ratio0.025
93.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount4
matches
0"Every lead she followed led to a dead end, or worse, to a feeling of profound wrongness—the kind of unease that had preceded the night DS Morris died."
1"Faint, flickering lights—colors Quinn couldn't quite name, hues that felt bruised and unnatural—danced along the edges of her vision."
2"Herrera was several yards ahead, moving through a labyrinth of makeshift stalls and draped fabrics that had been erected among the crumbling pillars of the stat…"
3"As she moved, a sudden, sharp sensation pierced her mind—a flash of Morris, standing in a doorway, his face dissolving into something dark and shapeless."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"a voice hissed (hiss)"
dialogueSentences2
tagDensity0.5
leniency1
rawRatio1
effectiveRatio1
78.2984%