Run: 2026-07-25-01KYCR6SCP65WTS590RF4VP3PH

Run Details

Duration:
55.2s
Cost:
$0.078645
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 had been going for six hours and Quinn had stopped noticing it, which was how she knew she was tired. She sat low in the unmarked Vauxhall on Hawley Crescent with the engine off and the windows fogging, and she watched Tomás Herrera walk north along the canal railing with a canvas holdall over one shoulder and his hood up. He walked like a man who'd been taught not to hurry. Paramedic gait. She'd seen it a hundred times at scenes — that unhurried, economical stride that got you where you needed to be without burning anything you'd want later. Eighteen years on the job and she could count on one hand the people who had made her feel outmatched. Herrera wasn't one of them. But he was the loose thread. The others in that bar in Soho — the tall one who owned it, the girl who never blinked, the man with the burnt hands — they had lawyers and silences and an unnerving talent for being somewhere else. Herrera had a face that couldn't hold a lie for more than four seconds. She'd sat across from him in an interview room in March and watched him sweat through his shirt while insisting he'd never treated a gunshot wound outside a hospital, and when she'd said the words *Charing Cross, February the ninth, two litres of blood on your kitchen floor*, he'd touched the little silver medallion at his throat like a man checking a door was still locked. He'd walked out in ninety minutes. Insufficient evidence. She'd stood in the car park afterwards in the sleet and thought about DS Morris and the way the file on his death had been closed with the word *misadventure*, as though a forty-four-year-old man with a wife and a mortgage had simply mislaid himself. Herrera stopped under the bridge. Checked his watch. Checked the street. Quinn's hand found the door handle. He saw her the moment she stepped out — she'd known he would; the streetlight was behind her and there was no clever way to leave a car — and for a half-second neither of them moved. Rain hammered the canal into static. Then he ran. "Herrera!" She was already going. "*Tomás!*" He went east along the towpath and she went after him, and the pavement gave back the sound of her boots like a slow handclap. He was twelve years younger and he had the holdall balanced across his back like he'd run with it before. But she was a runner. Four mornings a week around Regent's Park in whatever the sky was doing, and she found the rhythm now, breath in through the nose, weight forward, and she began — slowly, meanly — to close. He took the stairs up to the road three at a time. Cut across Camden Road through a gap in the traffic that shouldn't have existed. A black cab locked its wheels and screamed and Quinn went round the back of it with her hand flat on the boot, and a horn went off behind her and stayed on, dopplering away into the dark. Neon smeared past — a kebab shop, a tattoo parlour with its shutter half down, a bin bag split open across the kerb spilling paper cups into the flood. Every light in Camden had come apart in the water and lay in long broken ribbons on the tarmac. "There's nowhere to *go*," she shouted at his back, which wasn't true, and which she said mostly to hear her own voice. He turned left where the market shuttered up for the night, into a service alley she'd never once had reason to enter. The walls narrowed. She smelled fat and rot and something else beneath it, something like burnt sugar and old pennies, and the smell put a cold finger on the base of her spine because she'd smelled it exactly once before, in a lock-up in Deptford, three years ago, standing over what was left of her partner. Her legs kept going. Her mind went very quiet and very clear. At the end of the alley there was a hoarding, blue, plastered with fly posters for club nights and a bleached notice about a planning application from 2019. Herrera didn't slow down. He hit a panel with his shoulder and it swung inward on hinges that someone had oiled, and he was through, and the panel swung back. Quinn arrived four seconds later and stopped. She put her palm flat on the wet plywood. Pushed. It gave. Beyond it was a stairwell going down — proper municipal tiling, cream and oxblood, the kind that used to say *Way Out* — and the stairs were dry, which made no sense at all in this weather, and warm air came up out of them carrying that smell of pennies and caramel and something green and living. Down there, a long way down, she could hear voices. Not a few. Hundreds. A murmuring like a market at noon, at eleven o'clock on a filthy Tuesday night under a street where nothing existed but rats and cable ducts. Her radio was in her coat pocket. She took it out and looked at it, water beading on the plastic. *What do you say?* Control, this is DS Quinn, I'm at the rear of the Stables, requesting backup, I'm about to enter an abandoned Underground station in pursuit of a struck-off paramedic. And they'd send two lads in a van, and the lads would find plywood over a bricked-up doorway with fifty years of pigeon muck behind it, and Quinn would get a very kind conversation with an occupational health officer about stress and grief and how nobody thought less of her for it. She put the radio away. Everything she had ever been taught said stop. Contain the scene, call it in, wait. She had *taught* that. She'd stood in front of probationers and said the words: *nobody ever died of being patient.* Except Morris had, in a way. Morris had waited outside a door while she went round the front, and when she came back through he was on the floor with his eyes open and his throat untouched and no cause of death that any pathologist in London could put a name to. And in the property bag they'd given his wife, among the keys and the warrant card and the crumpled twenty, there'd been a small disc of bone, yellow as a piano key, cut with three notches on one edge. His wife hadn't wanted it. Quinn had carried it in her wallet for three years like a stone in a shoe. She took her wallet out now, under the dripping hoarding, and slid the disc free with two fingers. It was warm. It had never been warm before. The notched edge sat against her thumb like it had been cut for her thumb, and she felt her pulse jump in her wrist beneath the worn leather strap of the watch her father had left her, and she thought, with a strange calm: *So you did know something, Danny. You knew and you never said, and then it killed you.* Down the stairwell, the murmur of voices swelled and dipped, the way a crowd does when something passes through it. Somewhere in that noise was a twenty-nine-year-old man from Seville with a Saint Christopher round his neck and a bag full of things he shouldn't have, and Herrera was frightened of her — she'd seen it in the interview room, she'd seen it just now on the towpath — and frightened men talk. He was the loose thread and this was the pull. Quinn closed her fist around the bone token. "Fine," she said, out loud, to the rain and the alley and the dead. Then she stepped through the hoarding, let it swing shut behind her, and went down into the warm.
created_at"2026-07-25T13:42:33.671Z" 7/25/2026, 1:42:33 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5946
moderation_latency(null)
generation_time54435
tokens_prompt888
tokens_completion2090
native_tokens_prompt1264
native_tokens_completion2893
native_tokens_completion_images(null)
native_tokens_reasoning287
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"end_turn"
service_tier"default"
usage0.078645
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provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
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is_byokfalse
latency2434
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
84.76% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1312
totalAiIsmAdverbs4
found
0
adverb"slowly"
count1
1
adverb"very"
count3
highlights
0"slowly"
1"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)
92.38% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1312
totalAiIsms2
found
0
word"weight"
count1
1
word"pulse"
count1
highlights
0"weight"
1"pulse"
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
narrationSentences73
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences73
filterMatches
0"feel"
1"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences74
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen66
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans9
markdownWords46
totalWords1324
ratio0.035
matches
0"Charing Cross, February the ninth, two litres of blood on your kitchen floor"
1"misadventure"
2"Tomás!"
3"go"
4"Way Out"
5"What do you say?"
6"taught"
7"nobody ever died of being patient."
8"So you did know something, Danny. You knew and you never said, and then it killed you."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount1317
uniqueNames26
maxNameDensity0.61
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Quinn8
Vauxhall1
Hawley1
Crescent1
Tomás1
Herrera6
Soho1
March1
Cross1
February1
Morris3
Regent1
Park1
Camden2
Road1
Deptford1
Tuesday1
Control1
Stables1
Underground1
Except1
London1
Danny1
Seville1
Saint1
Christopher1
persons
0"Quinn"
1"Tomás"
2"Herrera"
3"Morris"
4"Regent"
5"Stables"
6"Except"
7"Danny"
8"Saint"
9"Christopher"
places
0"Vauxhall"
1"Hawley"
2"Crescent"
3"Soho"
4"March"
5"Camden"
6"Road"
7"Deptford"
8"London"
9"Seville"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount1
matches
0"something like burnt sugar and old pennies,"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1324
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences74
matches
0"carrying that smell"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean50.92
std42
cv0.825
sampleLengths
022
180
2150
353
411
56
646
76
885
9112
1022
1178
1212
1358
147
15109
1620
1784
185
19126
2021
2188
2220
2363
248
2532
86.04% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences73
matches
0"been taught"
1"been closed"
2"been taught"
3"was frightened"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs210
matches
0"was already going"
1"was doing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount1
flaggedSentences7
totalSentences74
ratio0.095
matches
0"She'd seen it a hundred times at scenes — that unhurried, economical stride that got you where you needed to be without burning anything you'd want later."
1"The others in that bar in Soho — the tall one who owned it, the girl who never blinked, the man with the burnt hands — they had lawyers and silences and an unnerving talent for being somewhere else."
2"He saw her the moment she stepped out — she'd known he would; the streetlight was behind her and there was no clever way to leave a car — and for a half-second neither of them moved."
3"Four mornings a week around Regent's Park in whatever the sky was doing, and she found the rhythm now, breath in through the nose, weight forward, and she began — slowly, meanly — to close."
4"Neon smeared past — a kebab shop, a tattoo parlour with its shutter half down, a bin bag split open across the kerb spilling paper cups into the flood."
5"Beyond it was a stairwell going down — proper municipal tiling, cream and oxblood, the kind that used to say *Way Out* — and the stairs were dry, which made no sense at all in this weather, and warm air came up out of them carrying that smell of pennies and caramel and something green and living."
6"Somewhere in that noise was a twenty-nine-year-old man from Seville with a Saint Christopher round his neck and a bag full of things he shouldn't have, and Herrera was frightened of her — she'd seen it in the interview room, she'd seen it just now on the towpath — and frightened men talk."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1315
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.022053231939163497
lyAdverbCount6
lyAdverbRatio0.0045627376425855515
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences74
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences74
mean17.89
std16.24
cv0.908
sampleLengths
022
140
211
32
427
520
65
76
839
914
1066
116
122
1345
145
153
163
176
1837
196
203
215
221
2325
2420
255
2635
2712
2814
2938
3029
3119
3222
3322
343
3553
364
378
3828
394
4026
417
429
431
442
4557
4610
473
481
4926
74.32% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4864864864864865
totalSentences74
uniqueOpeners36
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences68
matches
0"Then he ran."
1"Somewhere in that noise was"
2"Then she stepped through the"
ratio0.044
43.53% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences68
matches
0"She sat low in the"
1"He walked like a man"
2"She'd seen it a hundred"
3"She'd sat across from him"
4"He'd walked out in ninety"
5"She'd stood in the car"
6"He saw her the moment"
7"She was already going"
8"He went east along the"
9"He was twelve years younger"
10"He took the stairs up"
11"she shouted at his back,"
12"He turned left where the"
13"She smelled fat and rot"
14"Her legs kept going."
15"Her mind went very quiet"
16"He hit a panel with"
17"She put her palm flat"
18"Her radio was in her"
19"She took it out and"
ratio0.441
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences68
matches
0"The rain had been going"
1"She sat low in the"
2"He walked like a man"
3"She'd seen it a hundred"
4"Herrera wasn't one of them."
5"The others in that bar"
6"Herrera had a face that"
7"She'd sat across from him"
8"He'd walked out in ninety"
9"She'd stood in the car"
10"Herrera stopped under the bridge."
11"Quinn's hand found the door"
12"He saw her the moment"
13"She was already going"
14"He went east along the"
15"He was twelve years younger"
16"He took the stairs up"
17"A black cab locked its"
18"Neon smeared past — a"
19"Every light in Camden had"
ratio0.706
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences68
matches(empty)
ratio0
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount3
matches
0"She'd seen it a hundred times at scenes — that unhurried, economical stride that got you where you needed to be without burning anything you'd want later."
1"She'd stood in the car park afterwards in the sleet and thought about DS Morris and the way the file on his death had been closed with the word *misadventure*, …"
2"Beyond it was a stairwell going down — proper municipal tiling, cream and oxblood, the kind that used to say *Way Out* — and the stairs were dry, which made no …"
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
totalTags2
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0.5
effectiveRatio0.5
85.6312%