Run: 2026-07-25-01KYCR33KENE9T9BGT5CNVBY1P

Run Details

Duration:
57.4s
Cost:
$0.080270
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 falling for three hours and Harlow Quinn had stopped noticing it somewhere around the second, which was how she knew she was too far into this to turn back. She kept forty feet behind him. Herrera walked like a man who'd learned to move through crowds without touching anyone — a paramedic's gait, shoulders angled, weight forward, the canvas holdall clamped under his left arm. She'd watched him carry that bag out of the Raven's Nest an hour ago, out from under the green neon that turned the wet pavement the colour of pond water, and she'd watched him not look up and not look back, which was itself a kind of confession. Innocent men glance around. Innocent men check for traffic. He'd taken the Northern line north. She'd stood in the next carriage along with a copy of the *Standard* she never opened and watched him through the scratched glass of the connecting door, watched him press the Saint Christopher medallion between thumb and forefinger the way other men worked prayer beads or cigarettes. Camden Town. Up the escalator into the roar of the high street, the smell of frying onions and wet leather, the tourists gone and the ones who came out after them still arriving. Then he'd turned off into the backstreets, and the noise fell away like a door closing. Eighteen years. Quinn had a mental filing system built out of eighteen years and it told her, plainly, that this was the part of the evening where the arrest happened. A man with a bag he wouldn't put down, walking away from the lights. She'd made a hundred collars on less. Her cuffs sat against her hip. Her radio was in her coat pocket, switched off, because she hadn't logged this and she wasn't going to, and that thought lived in her chest like a swallowed stone. The lock-ups behind Kentish Town Road were half-demolished, hoardings pasted with layers of fly-posters gone to pulp. Water sheeted off a broken gutter and hit the tarmac in a sound like applause. Herrera stopped at a chain-link gate, and Quinn stepped into the recess of a doorway and became a shape among shapes. He looked back. Not the nervous flick of a man being followed — a slow, complete scan, left to right, up to the rooflines. Professional. Somebody had taught him that. He held it for four seconds. Rain ran off the curls stuck flat to his forehead. In the sodium light his olive skin looked grey, and Quinn could see, even from thirty feet, the pale seam of the scar running up the inside of his left forearm where his sleeve had ridden back. Then he went through the gate and started to run. Quinn was out of the doorway before she'd decided to be. She was forty-one and she ran three mornings a week along the canal because there was nothing else to do at five in the morning when the flat was too quiet, and she was faster than Herrera over the first hundred yards. She heard the holdall clatter against the fence as he swung round the end of the hoarding. Heard him go down — a scrabble, a grunt — and heard him up again. Glass under her boots. A pallet, a fridge lying on its side like a dead animal, a burst bin bag spilling something soft. Her coat dragged at her. She let the rain into her collar and took the corner low. '*Police*,' she shouted. 'Tomás Herrera — stop where you are.' He didn't. They never did, but he didn't even flinch at the name, which meant he'd been expecting to hear it from someone eventually. The lock-up yard opened onto a service road, and the service road ran down a slope under a railway bridge, and beneath the bridge the streetlights gave up entirely. Quinn ran into dark and rain and the fifty-hertz hum of something electrical, and by the sound of him Herrera was fifteen feet ahead, and then twelve, and then she saw the shape of him against a lighter patch of wall and she reached for him and got a fistful of wet jacket. He twisted. Elbow, hip, a paramedic's knowledge of where a body hinges — and she went into the brickwork shoulder-first, hard enough to see white. When she got her feet back he was gone. Not down the road. Quinn stood in the dripping dark with her heart slamming and listened and heard nothing but water, and she thought: *he's not running any more. He's stopped, because he's arrived.* She found the door by feel. A steel hoarding panel that swung when she leaned on it, and behind it a stairwell going down, tiled in cream and oxblood, the old Underground colours, the tiles furred with a century of soot. Cold air came up out of it and it did not smell like a tunnel. It smelled like cinnamon and burnt hair and something underneath that, something like the inside of a butcher's van. Quinn crouched at the top of the steps and put her torch on and killed it again immediately, because there was light down there already. Not electric. It moved. She'd heard the name. You heard names, in eighteen years — from informants who laughed when they said them, from a fence in Whitechapel who'd gone white and asked for a solicitor when she'd repeated one back to him. *The Veil Market.* Camden this month, she thought, and something in her went very still, because that was a thing she shouldn't have known and had known anyway. She sat back on her heels and thought about Morris. Three years and two months. DS Alan Morris, who'd taken his tea with four sugars and cried at his daughter's wedding, who'd gone into a house in Deptford ahead of her and come out — Quinn's mind still refused the sentence, still filed it under *pending*, still wouldn't sign it off. There had been no wound. There had been no wound and there had been sixteen pounds of him missing and the coroner had written *cardiac event* because there was no box on the form for what she'd seen in that hallway. She'd cleaned out his desk herself, because his wife couldn't face it, and in the back of the drawer under a packet of Rennies there had been a thing she'd turned over a hundred times since. She took it out of her inside pocket now. A flat oval of bone, yellowed, warm — always warm, which was the part she'd stopped mentioning to people — with a mark cut into one face that her eyes slid off if she looked at it too long. *Bone token.* Someone had said that to her once, and she'd written it in her notebook and underlined it, and then she'd gone home and not slept. The rain came down the stairwell in a fine drift, catching the light that wasn't a light. Somewhere below, a long way below, something rang like a bell made of glass, and voices rose in a language with too many consonants, and laughed. Quinn ran the numbers the way she'd been trained. No radio. No log. No backup, because there was no backup for this, because the only people she could call would take her warrant card away and put her on a psychiatric referral, and she'd watched that happen to better coppers than her. No exit she knew. No map. Eighteen years of decorated service and every one of them said the same thing: *back out, mark the location, come back at nine in the morning with a team and a warrant.* Except there'd be nothing here at nine in the morning. The full moon was Thursday. She knew that too. Down there, a man with a bag full of God-knew-what was buying or selling something that had cost her the only person on the job who'd ever told her the truth. Quinn stood up. Her shoulder screamed where the brick had caught it. She checked her watch — the leather strap black with rain, 11:47 — because she wanted a time in her head if this went wrong, and then she pushed the wet hair back off her forehead and closed her fist around the warm bone until she could feel her own pulse beating against it. 'All right, Alan,' she said. 'All right.' She went down.
created_at"2026-07-25T13:40:32.501Z" 7/25/2026, 1:40:32 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4993
moderation_latency(null)
generation_time57252
tokens_prompt888
tokens_completion2160
native_tokens_prompt1264
native_tokens_completion2958
native_tokens_completion_images(null)
native_tokens_reasoning211
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"
usage0.08027
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNsT3CWjdCjg25sMpz8P"
is_byokfalse
latency1915
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
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http_referer(null)
request_id"req-1784986832-5wb3PhuiaJkBdd5k0Z6j"
session_id(null)
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api_type"completions"
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upstream_id"msg_011CdNsT3CWjdCjg25sMpz8P"
total_cost0.08027
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provider_name"Amazon Bedrock"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
96.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1401
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"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)
82.16% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1401
totalAiIsms5
found
0
word"weight"
count1
1
word"standard"
count1
2
word"electric"
count1
3
word"could feel"
count1
4
word"pulse"
count1
highlights
0"weight"
1"standard"
2"electric"
3"could feel"
4"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
narrationSentences82
matches(empty)
90.59% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences82
filterMatches
0"watch "
hedgeMatches
0"started to"
1"happen to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences86
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen54
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans8
markdownWords38
totalWords1413
ratio0.027
matches
0"Standard"
1"Police"
2"he's not running any more. He's stopped, because he's arrived."
3"The Veil Market."
4"pending"
5"cardiac event"
6"Bone token."
7"back out, mark the location, come back at nine in the morning with a team and a warrant."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount1396
uniqueNames22
maxNameDensity0.79
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn11
Raven1
Nest1
Northern1
Saint1
Christopher1
Town2
Kentish1
Road1
Herrera4
Underground1
Whitechapel1
Veil1
Camden2
Morris2
Alan1
Deptford1
Rennies1
Except1
Thursday1
God-knew-what1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Saint"
4"Christopher"
5"Herrera"
6"Morris"
7"Alan"
places
0"Town"
1"Kentish"
2"Road"
3"Whitechapel"
4"Camden"
5"Deptford"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount1
matches
0"something like the inside of a butcher's van"
1"smelled like cinnamon and burnt hair and s"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1413
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences86
matches
0"carry that bag"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean47.1
std34.98
cv0.743
sampleLengths
033
193
286
316
487
553
63
780
810
911
10114
1110
1224
1382
1434
1534
1675
1729
1867
1910
20128
2148
2227
2343
2490
2519
2631
2766
287
293
92.43% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences82
matches
0"being followed "
1"was gone"
2"been trained"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs231
matches
0"wasn't going"
1"was buying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences8
totalSentences86
ratio0.093
matches
0"Herrera walked like a man who'd learned to move through crowds without touching anyone — a paramedic's gait, shoulders angled, weight forward, the canvas holdall clamped under his left arm."
1"Not the nervous flick of a man being followed — a slow, complete scan, left to right, up to the rooflines."
2"Heard him go down — a scrabble, a grunt — and heard him up again."
3"Elbow, hip, a paramedic's knowledge of where a body hinges — and she went into the brickwork shoulder-first, hard enough to see white."
4"You heard names, in eighteen years — from informants who laughed when they said them, from a fence in Whitechapel who'd gone white and asked for a solicitor when she'd repeated one back to him."
5"DS Alan Morris, who'd taken his tea with four sugars and cried at his daughter's wedding, who'd gone into a house in Deptford ahead of her and come out — Quinn's mind still refused the sentence, still filed it under *pending*, still wouldn't sign it off."
6"A flat oval of bone, yellowed, warm — always warm, which was the part she'd stopped mentioning to people — with a mark cut into one face that her eyes slid off if she looked at it too long."
7"She checked her watch — the leather strap black with rain, 11:47 — because she wanted a time in her head if this went wrong, and then she pushed the wet hair back off her forehead and closed her fist around the warm bone until she could feel her own pulse beating against it."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount587
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.028960817717206135
lyAdverbCount2
lyAdverbRatio0.0034071550255536627
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences86
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences86
mean16.43
std14.27
cv0.868
sampleLengths
033
16
230
348
44
55
66
747
82
931
1016
112
1228
1314
147
156
1630
1717
1815
1921
203
2121
221
235
246
2510
2637
2710
2811
2942
3017
3115
324
3319
345
3512
363
377
382
3922
4029
4153
422
4323
449
454
4625
475
486
4935
60.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.43023255813953487
totalSentences86
uniqueOpeners37
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences72
matches
0"Then he'd turned off into"
1"Then he went through the"
2"Somewhere below, a long way"
ratio0.042
75.56% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences72
matches
0"She kept forty feet behind"
1"She'd watched him carry that"
2"He'd taken the Northern line"
3"She'd stood in the next"
4"She'd made a hundred collars"
5"Her cuffs sat against her"
6"Her radio was in her"
7"He looked back."
8"He held it for four"
9"She was forty-one and she"
10"She heard the holdall clatter"
11"Her coat dragged at her."
12"She let the rain into"
13"They never did, but he"
14"He's stopped, because he's arrived.*"
15"She found the door by"
16"It smelled like cinnamon and"
17"She'd heard the name."
18"You heard names, in eighteen"
19"She sat back on her"
ratio0.361
78.06% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences72
matches
0"The rain had been falling"
1"She kept forty feet behind"
2"Herrera walked like a man"
3"She'd watched him carry that"
4"Innocent men glance around."
5"Innocent men check for traffic."
6"He'd taken the Northern line"
7"She'd stood in the next"
8"Quinn had a mental filing"
9"A man with a bag"
10"She'd made a hundred collars"
11"Her cuffs sat against her"
12"Her radio was in her"
13"The lock-ups behind Kentish Town"
14"Water sheeted off a broken"
15"Herrera stopped at a chain-link"
16"He looked back."
17"Somebody had taught him that."
18"He held it for four"
19"Rain ran off the curls"
ratio0.764
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences72
matches(empty)
ratio0
18.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount8
matches
0"Herrera walked like a man who'd learned to move through crowds without touching anyone — a paramedic's gait, shoulders angled, weight forward, the canvas holdal…"
1"She'd watched him carry that bag out of the Raven's Nest an hour ago, out from under the green neon that turned the wet pavement the colour of pond water, and s…"
2"Up the escalator into the roar of the high street, the smell of frying onions and wet leather, the tourists gone and the ones who came out after them still arri…"
3"Quinn stood in the dripping dark with her heart slamming and listened and heard nothing but water, and she thought: *he's not running any more."
4"A steel hoarding panel that swung when she leaned on it, and behind it a stairwell going down, tiled in cream and oxblood, the old Underground colours, the tile…"
5"You heard names, in eighteen years — from informants who laughed when they said them, from a fence in Whitechapel who'd gone white and asked for a solicitor whe…"
6"DS Alan Morris, who'd taken his tea with four sugars and cried at his daughter's wedding, who'd gone into a house in Deptford ahead of her and come out — Quinn'…"
7"Down there, a man with a bag full of God-knew-what was buying or selling something that had cost her the only person on the job who'd ever told her the truth."
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
86.4642%