Run: 2026-02-17-01KHMR8XYHP8GA5HQPPWQ2FP26

Run Details

Duration:
33.9s
Cost:
$0.027996
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
The rain hammered down in sheets, turning the gutters of Soho into rushing streams that reflected the garish neon of late-night establishments. Detective Harlow Quinn's shoes slapped against the wet pavement as she rounded the corner onto Old Compton Street, her eyes locked on the figure fifty meters ahead. Tomás Herrera glanced back over his shoulder, rain plastering his short curly hair to his forehead. His olive skin caught the amber streetlight for a moment before he darted left, cutting through the alley beside a darkened betting shop. Quinn swore under her breath and pushed harder, feeling the burn in her calves. Eighteen years on the force had kept her fit, but the suspect was younger and desperate. She'd been watching The Raven's Nest for three weeks now, documenting the unusual clientele that filtered in and out of that bar with its distinctive green neon sign. When she'd spotted Herrera leaving through the back exit, alone, she'd made her move. He was connected to them. The clique of criminals—or worse—that she'd been tracking since that night three years ago. The night Morris died. The alley stank of rotting garbage and piss. Quinn's hand instinctively touched the worn leather watch on her left wrist, a habit she'd developed when her pulse quickened. She burst out of the alley onto Greek Street, scanning left and right. There. Herrera was booking it north toward Camden, weaving between late-night pedestrians who shouted curses as he shouldered past them. Quinn's radio crackled at her hip. She ignored it. This was her case, her lead. She wasn't calling it in until she knew where he was going. The chase continued through Soho's tangle of streets, each turn taking them further from the bright lights and into the quieter residential areas beyond. Rain drummed on Quinn's Metropolitan Police jacket, seeping through the collar and running down her spine. She kept her breathing measured, controlled, the way she'd learned in the army before she'd ever thought about joining the force. Herrera vaulted over a low wall into a small park. Quinn followed, landing hard on the grass, mud splashing up her trousers. Through the trees she could see him sprinting toward Camden Road, toward the tube station. Her mind raced through the possibilities. If he got on a train, she'd lose him. But the last tube had run twenty minutes ago. So why was he heading there? They emerged onto Camden High Street. The market stalls were shuttered for the night, metal barriers pulled down, graffiti-tagged and anonymous. Herrera cut right, then disappeared down a narrow gap between two buildings that Quinn had never noticed before. She slowed, approaching the gap with her back against the wall. Her hand moved to the ASP baton at her belt. The gap was barely wide enough for one person, a slice of darkness between a vintage clothing shop and a curry house. Quinn clicked on her torch and edged into the passage. Water dripped from above, and the walls were slick with moss. The beam of her torch caught something on the ground—footprints in the accumulated grime, fresh, leading deeper. The passage opened into a small courtyard, completely hidden from the street. In the center stood a metal door set into the ground at an angle, like an old coal chute. It was ajar. Quinn crouched beside it, listening. Voices drifted up from below, multiple people, speaking in languages she didn't recognize. The air that rose from the opening was warmer than the night air, carrying scents of incense and something chemical, acrid. This wasn't just Herrera running scared. He'd led her somewhere specific. She pulled out her radio, thumb hovering over the call button. Protocol dictated she request backup. But protocol had gotten Morris killed, back when they'd called in a disturbance at a warehouse and the response team had arrived to find him dead, throat torn open, and Quinn herself unconscious with no memory of what had happened. The official report said wild dogs. Quinn knew better. The voices below grew momentarily louder, and she caught a glimpse of light—not electric, but flickering, like torches. She killed her own torch and let her eyes adjust to the darkness. Eighteen years of decorated service. That's what her commendations said. What they didn't say was that for the last three years, she'd been chasing shadows. Following leads that her superiors dismissed as the grief-stricken delusions of a detective who'd lost her partner. She'd documented impossible things: people who vanished into thin air, wounds that healed overnight, evidence that disappeared from locked rooms. And now one of them had led her here, to this hidden entrance beneath Camden. Quinn clipped the radio back to her belt without calling in. She checked her baton, her phone, made sure both were secure. Then she pulled the metal door wider, wincing as the hinges creaked. Stone steps descended into darkness. She could see perhaps ten steps before they curved out of sight. The voices had gone quiet—had they heard the door? She took the first step down, then the second. The temperature rose with each descent. By the time she reached the curve, she could feel sweat mixing with the rain on her face. The walls were old brick, older than anything that should exist in this part of Camden. Victorian era, maybe earlier. The steps bottomed out into a tunnel, and Quinn pressed herself against the wall, peering around the corner. Her sharp jaw tightened. The tunnel opened into what must have been an abandoned tube station, but it had been transformed into something else entirely. Market stalls lined both platforms, lit by strings of paper lanterns and actual torches mounted in brackets on the walls. People moved between the stalls—dozens of them—examining goods laid out on tables. But even from this distance, Quinn could tell something was wrong. Some of the vendors didn't look quite right. Too tall, or with eyes that reflected the torchlight like animals. The Veil Market. She'd heard whispers of it in her investigations, dismissed it as urban legend. A supernatural black market that moved locations, that dealt in things that shouldn't exist. She spotted Herrera immediately. He was at a stall near the far end of the platform, talking urgently to a woman whose silver hair seemed to move independently of any breeze. His hand gestured to his left forearm, where his sleeve was pulled back to reveal a long scar. The medallion around his neck—Saint Christopher, she'd noted from her surveillance photos—caught the torchlight. Quinn's hand moved to her watch again, feeling her pulse hammer against her wrist. She could turn back now. Pretend she'd lost him in the rain. File a report about a failed pursuit and move on. But Morris's face flashed in her mind. The way his brown eyes had looked at her in those final moments, confused and afraid, as something they couldn't see tore him apart. Detective Harlow Quinn stepped out of the tunnel and into the impossible market, rain still dripping from her salt-and-pepper hair, military bearing keeping her spine straight even as she crossed into a world she didn't understand. The first vendor to notice her stopped mid-transaction, his yellow eyes widening. Then another looked up. And another. Tomás Herrera turned, saw her, and his warm brown eyes filled with something that looked almost like pity. She kept walking forward, hand near her baton, every instinct screaming that she'd made a terrible mistake.
created_at"2026-02-17T02:54:09.931804+00:00" 2/17/2026, 2:54:09 AM
model"anthropic/claude-4.5-sonnet-20250929"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1763
moderation_latency166
generation_time33691
tokens_prompt914
tokens_completion1932
native_tokens_prompt917
native_tokens_completion1683
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"
usage0.027996
router(null)
provider_responses
0
id"2a724b6e-37ee-4d72-b44d-b3255e5d9282"
status200
is_byokfalse
latency1762
endpoint_id"d8bee848-f020-454a-b2be-4a7ce868f99f"
provider_name"Amazon Bedrock"
model_permaslug"anthropic/claude-4.5-sonnet-20250929"
api_type"completions"
id"gen-1771296815-Z9r8eiFDdvX0957EwQ3W"
upstream_id"2a724b6e-37ee-4d72-b44d-b3255e5d9282"
total_cost0.027996
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
totalTags0
96.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1252
totalAiIsmAdverbs1
found
0
adverb"completely"
count1
highlights
0"completely"
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)
64.06% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1252
totalAiIsms9
found
0
word"pulse"
count2
1
word"quickened"
count1
2
word"scanning"
count1
3
word"down her spine"
count1
4
word"measured"
count1
5
word"raced"
count1
6
word"electric"
count1
7
word"could feel"
count1
highlights
0"pulse"
1"quickened"
2"scanning"
3"down her spine"
4"measured"
5"raced"
6"electric"
7"could feel"
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
narrationSentences98
matches(empty)
99.13% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences98
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)
analyzedSentences98
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1243
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
85.64% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions53
wordCount1243
uniqueNames20
maxNameDensity1.29
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow2
Quinn16
Old1
Compton1
Street3
Herrera8
Raven1
Nest1
Morris3
Greek1
Camden5
Metropolitan1
Police1
Road1
High1
Veil1
Market2
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Raven"
4"Morris"
5"Market"
6"Saint"
7"Christopher"
places
0"Soho"
1"Old"
2"Compton"
3"Street"
4"Greek"
5"Camden"
6"Road"
7"High"
globalScore0.856
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.805
wordCount1243
matches
0"not electric, but flickering, like torches"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences98
matches
0"screaming that she'd"
87.38% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean38.84
std17.71
cv0.456
sampleLengths
049
139
272
323
461
527
661
737
830
939
1043
1138
1234
1339
1411
1565
1631
1762
1815
1934
2026
2153
2222
2383
2430
2563
2636
2731
2836
2918
3018
3117
90.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences98
matches
0"was connected"
1"were shuttered"
2"been transformed"
3"was pulled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs212
matches
0"was booking"
1"was going"
2"wasn't calling"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences6
totalSentences98
ratio0.061
matches
0"The clique of criminals—or worse—that she'd been tracking since that night three years ago."
1"The beam of her torch caught something on the ground—footprints in the accumulated grime, fresh, leading deeper."
2"The voices below grew momentarily louder, and she caught a glimpse of light—not electric, but flickering, like torches."
3"The voices had gone quiet—had they heard the door?"
4"People moved between the stalls—dozens of them—examining goods laid out on tables."
5"The medallion around his neck—Saint Christopher, she'd noted from her surveillance photos—caught the torchlight."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1259
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.024622716441620333
lyAdverbCount9
lyAdverbRatio0.007148530579825258
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean12.68
std7.33
cv0.578
sampleLengths
022
127
216
323
414
516
628
714
85
914
104
118
1220
1313
141
1519
166
173
186
1912
2024
2116
2221
2310
2412
2515
266
279
289
296
306
3115
3218
3311
3410
3522
3610
3711
3817
3912
4019
413
425
4313
4421
456
465
4711
485
4940
63.27% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.3979591836734694
totalSentences98
uniqueOpeners39
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences96
matches
0"Then she pulled the metal"
1"Too tall, or with eyes"
2"Then another looked up."
ratio0.031
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences96
matches
0"His olive skin caught the"
1"She'd been watching The Raven's"
2"He was connected to them."
3"She burst out of the"
4"She ignored it."
5"She wasn't calling it in"
6"She kept her breathing measured,"
7"Her mind raced through the"
8"They emerged onto Camden High"
9"She slowed, approaching the gap"
10"Her hand moved to the"
11"It was ajar."
12"He'd led her somewhere specific."
13"She pulled out her radio,"
14"She killed her own torch"
15"She'd documented impossible things: people"
16"She checked her baton, her"
17"She could see perhaps ten"
18"She took the first step"
19"Her sharp jaw tightened."
ratio0.271
69.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences96
matches
0"The rain hammered down in"
1"Detective Harlow Quinn's shoes slapped"
2"Tomás Herrera glanced back over"
3"His olive skin caught the"
4"Quinn swore under her breath"
5"She'd been watching The Raven's"
6"He was connected to them."
7"The clique of criminals—or worse—that"
8"The night Morris died."
9"The alley stank of rotting"
10"Quinn's hand instinctively touched the"
11"She burst out of the"
12"Herrera was booking it north"
13"Quinn's radio crackled at her"
14"She ignored it."
15"This was her case, her"
16"She wasn't calling it in"
17"The chase continued through Soho's"
18"Rain drummed on Quinn's Metropolitan"
19"She kept her breathing measured,"
ratio0.781
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences96
matches
0"If he got on a"
1"By the time she reached"
ratio0.021
75.89% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences64
technicalSentenceCount6
matches
0"The rain hammered down in sheets, turning the gutters of Soho into rushing streams that reflected the garish neon of late-night establishments."
1"She'd been watching The Raven's Nest for three weeks now, documenting the unusual clientele that filtered in and out of that bar with its distinctive green neon…"
2"Herrera was booking it north toward Camden, weaving between late-night pedestrians who shouted curses as he shouldered past them."
3"Following leads that her superiors dismissed as the grief-stricken delusions of a detective who'd lost her partner."
4"She'd documented impossible things: people who vanished into thin air, wounds that healed overnight, evidence that disappeared from locked rooms."
5"A supernatural black market that moved locations, that dealt in things that shouldn't exist."
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
91.0561%