Run: 2026-02-17-01KHMMC9890XEEFZ0E9TPG1Y5X

Run Details

Duration:
38.0s
Cost:
$0.038262
Provider:
Amazon Bedrock

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
Quinn's boots pounded against wet pavement as she pursued the figure ahead through Soho's neon-lit streets. Rain pelted her face, but she didn't dare take her eyes off her target. Three years of dead ends since Morris disappeared, and finally, a solid lead – she wasn't about to lose it now. The suspect darted down an alley beside The Raven's Nest, its green sign casting an eerie glow across the slick cobblestones. Quinn followed, her breath coming in controlled bursts as she maintained her military-honed pace. Her quarry was quick, but she'd been running down perps since they were in diapers. A crash of metal as the suspect knocked over a row of rubbish bins. Quinn vaulted over them without breaking stride, her worn leather watch catching the intermittent flashes of street lights as she pumped her arms. The figure ahead wore dark clothes, but she caught glimpses of something glinting at their neck – maybe jewelry, maybe a weapon. They burst out onto Camden High Street, weaving between startled pedestrians huddled under umbrellas. The suspect veered suddenly, disappearing down the steps of a closed Tube station. Quinn's instincts screamed a warning. This station had been abandoned for years; she'd passed it countless times during her beats. She paused at the top of the stairs, rain drumming against her shoulders. The entrance gaped like a monster's maw, darkness waiting to swallow her whole. Just like the darkness that had swallowed Morris. Her hand went to her service weapon, droplets running down its grip. "Metropolitan Police! Stop right there!" Her voice echoed into the void below, receiving no response except the distant drip of water. Quinn descended the stairs, using her tactical flashlight to sweep the space ahead. The beam caught crumbling tiles and graffiti-covered walls. Her footsteps echoed in the enclosed space, each one sending a shiver up her spine. This wasn't right. Something about this place felt wrong on a fundamental level. A flicker of movement caught her eye – her suspect disappearing around a corner deeper in the station. As she followed, the air grew thick and strange, carrying unfamiliar scents: incense, exotic spices, and something metallic that reminded her of blood. The tunnel opened into what should have been a simple platform. Instead, Quinn found herself at the edge of barely controlled chaos. Makeshift stalls lined the walls, their surfaces covered with items that seemed to shift and change when she tried to focus on them. Figures in hooded robes browsed merchandise that glowed and pulsed with impossible colors. Others wore faces that weren't quite human. "Bloody hell," she whispered, her grip tightening on her weapon. A man materialized from the shadows beside her – Tomás Herrera, the disgraced paramedic she'd interviewed last month about a string of mysterious injuries. His Saint Christopher medallion caught the strange light as he stepped forward. "Detective Quinn," he said, his Spanish accent thick with concern. "You shouldn't be here." "Where exactly is here, Herrera?" She kept her voice steady despite the unreality of the scene before her. The suspect was still visible, moving deeper into the market. "The Veil Market. And you need to leave. Now." He touched the scar on his left forearm absently. "You don't have a bone token. If they realize you're law enforcement..." A high-pitched whine filled the air, making Quinn's teeth ache. Several hooded figures turned toward her, their movements too fluid to be natural. "Your suspect," Tomás continued, "they're headed to the lower levels. But trust me, Detective – whatever case you're working, it's not worth following them down there. Some questions are better left unanswered." Quinn's brown eyes narrowed as she watched her quarry disappear down another set of stairs. This could be her chance to finally understand what happened to Morris. But the weight of unknowable danger pressed against her like a physical force. "Morris vanished down here, didn't he?" she asked, though she already knew the answer. "That's what you've been hiding." Tomás's warm brown eyes filled with sympathy. "Some mysteries should stay buried, Detective. The answers you seek... they come with a price none of us can afford to pay." A scream echoed from the lower levels – not of pain, but of something worse. Something hungry. Quinn's military training warred with her instinct for self-preservation as the lights in the market flickered, casting strange shadows that moved independent of their sources. She had to make a choice: pursue her lead into the darkness below, or retreat to the familiar world above where the rain fell in patterns that made sense. Her watch ticked steadily against her wrist, counting down the seconds until the decision would be made for her.
created_at"2026-02-17T01:46:08.880426+00:00" 2/17/2026, 1:46:08 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency910
moderation_latency304
generation_time37359
tokens_prompt914
tokens_completion1242
native_tokens_prompt917
native_tokens_completion1092
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.038262
router(null)
provider_responses
0
id"dfe61e0c-f28e-4b8b-95e1-887b884e7bb5"
status200
is_byokfalse
latency909
endpoint_id"d4fb79bd-9786-4932-af81-b83040e9f4e4"
provider_name"Amazon Bedrock"
model_permaslug"anthropic/claude-3.5-sonnet"
api_type"completions"
id"gen-1771292730-94G9KGmbi5C8mSe0DT9X"
upstream_id"dfe61e0c-f28e-4b8b-95e1-887b884e7bb5"
total_cost0.038262
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences11
tagDensity0.636
leniency1
rawRatio0
effectiveRatio0
93.54% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount774
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)
28.94% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount774
totalAiIsms11
found
0
word"glinting"
count1
1
word"maw"
count1
2
word"echoed"
count3
3
word"footsteps"
count1
4
word"flicker"
count1
5
word"pulsed"
count1
6
word"weight"
count1
7
word"flickered"
count1
8
word"familiar"
count1
highlights
0"glinting"
1"maw"
2"echoed"
3"footsteps"
4"flicker"
5"pulsed"
6"weight"
7"flickered"
8"familiar"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
91.67% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences50
matches
0"filled with sympathy"
1"d with sympathy"
0.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount3
narrationSentences50
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"tried to"
2"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences54
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords780
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
83.63% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount678
uniqueNames14
maxNameDensity1.33
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Morris3
Raven1
Nest1
Camden1
High1
Street1
Tube1
Quinn9
Tomás3
Herrera1
Saint1
Christopher1
Spanish1
persons
0"Morris"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
places
0"Soho"
1"Raven"
2"Camden"
3"High"
4"Street"
globalScore0.836
windowScore1
41.30% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount2
matches
0"items that seemed to shift and change when she tried to focus on them"
1"quite human"
71.79% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.282
wordCount780
matches
0"not of pain, but of something worse"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences54
matches(empty)
68.27% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean37.14
std14.45
cv0.389
sampleLengths
051
150
259
347
446
521
649
741
865
910
1036
1114
1228
1330
1423
1532
1640
1719
1829
1942
2048
98.25% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences50
matches
0"been abandoned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs114
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences6
totalSentences54
ratio0.111
matches
0"Three years of dead ends since Morris disappeared, and finally, a solid lead – she wasn't about to lose it now."
1"The figure ahead wore dark clothes, but she caught glimpses of something glinting at their neck – maybe jewelry, maybe a weapon."
2"This station had been abandoned for years; she'd passed it countless times during her beats."
3"A flicker of movement caught her eye – her suspect disappearing around a corner deeper in the station."
4"A man materialized from the shadows beside her – Tomás Herrera, the disgraced paramedic she'd interviewed last month about a string of mysterious injuries."
5"A scream echoed from the lower levels – not of pain, but of something worse."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount678
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.02359882005899705
lyAdverbCount6
lyAdverbRatio0.008849557522123894
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences54
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences54
mean14.44
std6.35
cv0.44
sampleLengths
016
114
221
321
414
515
614
723
822
914
1013
115
1215
1313
1413
158
1612
1721
1813
198
2015
213
2210
2318
2423
2511
2611
2723
2813
297
3010
3124
3212
3310
344
3518
3610
3718
3812
3910
4013
4132
4215
4312
4413
4514
465
477
4822
4915
87.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5370370370370371
totalSentences54
uniqueOpeners29
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences48
matches
0"Just like the darkness that"
1"Instead, Quinn found herself at"
ratio0.042
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences48
matches
0"Her quarry was quick, but"
1"They burst out onto Camden"
2"She paused at the top"
3"Her hand went to her"
4"Her voice echoed into the"
5"Her footsteps echoed in the"
6"she whispered, her grip tightening"
7"His Saint Christopher medallion caught"
8"he said, his Spanish accent"
9"She kept her voice steady"
10"He touched the scar on"
11"she asked, though she already"
12"She had to make a"
13"Her watch ticked steadily against"
ratio0.292
22.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount42
totalSentences48
matches
0"Quinn's boots pounded against wet"
1"Rain pelted her face, but"
2"The suspect darted down an"
3"Quinn followed, her breath coming"
4"Her quarry was quick, but"
5"A crash of metal as"
6"Quinn vaulted over them without"
7"The figure ahead wore dark"
8"They burst out onto Camden"
9"The suspect veered suddenly, disappearing"
10"Quinn's instincts screamed a warning."
11"This station had been abandoned"
12"She paused at the top"
13"The entrance gaped like a"
14"Her hand went to her"
15"Her voice echoed into the"
16"Quinn descended the stairs, using"
17"The beam caught crumbling tiles"
18"Her footsteps echoed in the"
19"This wasn't right."
ratio0.875
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences48
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount2
matches
0"Figures in hooded robes browsed merchandise that glowed and pulsed with impossible colors."
1"Quinn's military training warred with her instinct for self-preservation as the lights in the market flickered, casting strange shadows that moved independent o…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount2
matches
0"she whispered, her grip tightening on her weapon"
1"he said, his Spanish accent thick with concern"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"she whispered (whisper)"
1"Tomás continued (continue)"
dialogueSentences11
tagDensity0.364
leniency0.727
rawRatio0.5
effectiveRatio0.364
72.9181%