Run: 2026-07-25-01KYCR773PRWE9B3JHNN0CSQXH

Run Details

Duration:
53.5s
Cost:
$0.076120
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 came sideways on Old Compton Street, the kind of rain that got in under a collar and stayed there, and Detective Harlow Quinn had been standing in it for forty minutes watching a green neon sign buzz above a door. The Raven's Nest. She had run the licence, the freeholder, the business rates. All clean, all boring, all wrong. Places that clean usually had someone paying to keep them that way. At 11:52 the door opened and a man came out with his hood up and his shoulders squared against the weather, and Quinn knew him from the shape of his walk before she saw his face. Tomás Herrera. Twenty-nine, born Seville, struck off the HCPC register eighteen months ago for administering unauthorised treatment. She had read the tribunal transcript three times. It was a masterpiece of evasion. Nine hundred words in which a man explained why he had pushed something into a patient's chest that the hospital pharmacy had never stocked, and never once said what it was. He glanced left. He glanced right. And then, because the universe had a sense of humour, he looked directly at the doorway where Quinn stood with rain running off the end of her nose. "Tomás," she called. "Two minutes of your time." He ran. Of course he ran. They always ran, and Quinn had eighteen years of legs that had chased them, and a knee that complained now on cold mornings, and she went after him anyway because standing still had never once solved anything. He was fast. Paramedic fast — the loping, economical stride of a man who had spent years carrying bags up stairwells. He went east, dodging a knot of smokers outside a members' club, and Quinn hit the same knot two seconds later and went through it rather than around, and someone's gin and tonic went into the gutter behind her. "Police," she said, not shouting. Shouting wasted air. Wardour Street. Herrera cut across traffic and a cab horn tore the night open and Quinn followed through the gap he made, palms on the wet bonnet of a Prius, the driver's face a white smear behind glass. Water sheeted off the awnings. The pavement threw back the neon in long bleeding streaks — red, gold, that particular sickly green — and the whole street looked like something dissolving. He knew Soho. That was the problem. He took the alleys the way a local takes them, the little dogleg behind the Chinese supermarket, the service yard where the bins made a wall you had to know the gap in. Quinn lost sight of him twice and found him twice by sound, by the flat slap of trainers in standing water. At Tottenham Court Road he made a mistake and got on a bus, and she got on the bus twelve seconds later, and he was already off it at the other end and running north. That was how they came to Camden. By then Quinn's shirt was glued to her spine, her radio was in her hand and she hadn't called it in, and she could not have told you exactly why. Habit, maybe. Eighteen years of decorated service and she'd learned which things went in the log and which things didn't survive contact with a supervisor's eyebrow. Three years ago DS Morris had chased a man into a building on a wet night like this one and Quinn had stayed outside to cover the rear exit, by the book, exactly as she'd been trained, and Morris had come out on a trolley with his eyes open and his hair gone white at the temples and no injuries at all. Cause of death: undetermined. Coroner's inquest: open verdict. Nineteen months of paperwork and a plaque in the corridor and no answers. So no. She didn't call it in. Herrera went off the high street where the lock-ups gave way to hoarding, past a mural of a bird that someone had half painted over, and he ducked left through a hole in a plywood fence that Quinn would have sworn wasn't there when she'd driven past this stretch in July. She went through after him. Her jacket caught on a nail and tore and she left it. Beyond the fence: a ramp. Cracked concrete going down at a bad angle, iron railings eaten thin with rust, and at the bottom the arched mouth of something old. Tiles. She saw white tiles in the sweep of her torch, the curved shoulder of a tunnel, a strip of ancient enamel advertising a brand of cocoa that hadn't existed since the war. A disused station. There were dozens of them under the city, sealed and forgotten, and this one had been sealed with a padlock the size of her fist, which was hanging open on its hasp like an invitation. Quinn stopped at the top of the ramp. The rain drummed on the plywood behind her. She could hear music. Not from the high street. From down there. Below her feet, through the tiles and the clay, something with a rhythm in it and something else woven through the rhythm that her ear kept trying to resolve into a voice and failing. And under the music, the smell — wet stone and mildew, yes, but also woodsmoke, and hot sugar, and a green herbal reek like a florist's bin, and something with iron in it. Herrera was at the bottom of the ramp. He had stopped too. He turned, breathing hard, and pushed the hood back off his curls, and rainwater ran down his olive face, and he looked at her not with fear exactly but with a terrible sort of patience, the way she imagined he'd looked at a hundred people bleeding on a hundred pavements. "Don't," he said. "You're not under arrest," Quinn said. "You ran. I'd like to know why." "You wouldn't." He was fishing in his collar. She saw the chain come out, saw the flash of the Saint Christopher medallion, and then he pulled something else out from under it — a flat pale sliver on a leather cord. Bone. Yellowed, drilled through, carved with marks she couldn't read at this distance. "Detective." He held the bone token flat in his palm like a man showing a dog a treat, and his voice, when it came again, was almost kind, and that was worse than anything. "Go home. Get dry. Write it up however you need to. Tomorrow morning you'll have a better night's sleep than you've had in three years, and you'll never know what you missed, and that is the single best thing that could happen to you." Three years. Quinn's hand went to her left wrist, to the worn leather strap of the watch she'd worn since Hendon, and pressed until she felt the buckle bite. "How do you know about three years?" Herrera didn't answer. He turned and put his palm against the tiled arch, and where the bone touched stone the darkness inside the tunnel came apart like a curtain going back — light spilling out of nowhere, warm and amber and crowded, a long gullet of a space lined with stalls and canvas and lanterns hung from cabling, and figures moving in it, dozens of them, and the music suddenly loud enough to feel in her sternum. She saw a woman with a tray of small glowing jars. She saw something on four legs that was not a dog. She saw the shape of a platform sign, the old kind, and the letters on it slid when she tried to read them. Herrera stepped through. The light closed after him by about a third. Quinn stood in the rain at the top of the ramp with her radio in her hand. Every year of her service told her the same thing, in the same flat institutional voice: no backup, no plan, no jurisdiction, no idea. You do not go down. You back off, you observe, you request support, you preserve the scene. Morris went in alone. Look what came out. She looked at the closing seam of light. Thirty seconds, maybe less, and it would be brick and dark and a padlock, and she would be a woman standing in a demolition site in the rain with a torn jacket and nothing in her notebook. And in the morning she would sit at her desk under the strip lights and there would be a plaque in the corridor with Morris's name on it and she would walk past it, again, and know that she had stood at the mouth of the only true thing she'd ever seen and chosen the dry side of the door. Quinn put the radio in her pocket. "Sod it," she said, and went down the ramp two steps at a time, into the light and the smell of hot sugar and iron, and the darkness shut behind her like a mouth.
created_at"2026-07-25T13:42:47.167Z" 7/25/2026, 1:42:47 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
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cancelledfalse
latency4325
moderation_latency(null)
generation_time53442
tokens_prompt888
tokens_completion2153
native_tokens_prompt1264
native_tokens_completion2792
native_tokens_completion_images(null)
native_tokens_reasoning119
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"
usage0.07612
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNscx11PKsYf7Jpcwaz3"
is_byokfalse
latency2216
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
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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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences11
tagDensity0.636
leniency1
rawRatio0
effectiveRatio0
96.65% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1491
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)
89.94% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1491
totalAiIsms3
found
0
word"sense of"
count1
1
word"eyebrow"
count1
2
word"resolve"
count1
highlights
0"sense of"
1"eyebrow"
2"resolve"
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
emotionTells1
narrationSentences88
matches
0"t with fear"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences88
filterMatches
0"observe"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen73
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1497
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
99.75% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount1393
uniqueNames24
maxNameDensity1.01
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Old1
Compton1
Street2
Detective1
Harlow1
Quinn14
Raven1
Nest1
Herrera6
Seville1
Shouting1
Prius1
Soho1
Chinese1
Tottenham1
Court1
Road1
Camden1
Morris4
July1
Saint1
Christopher1
Three2
Hendon1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Herrera"
4"Shouting"
5"Morris"
6"Saint"
7"Christopher"
places
0"Old"
1"Compton"
2"Street"
3"Seville"
4"Soho"
5"Tottenham"
6"Court"
7"Road"
8"Camden"
9"July"
globalScore0.997
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount1
matches
0"looked like something dissolving"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.668
wordCount1497
matches
0"not with fear exactly but with a terrible sort of patience, the way she imagined he'd"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences92
matches
0"know that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean40.46
std31.93
cv0.789
sampleLengths
042
131
298
334
48
52
641
760
88
969
1061
1135
127
1356
1483
157
1668
1762
1838
1916
204
2175
2262
233
2413
2554
2678
272
2827
297
30122
3112
3217
3349
34105
357
3634
93.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences88
matches
0"was glued"
1"been trained"
2"been sealed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs206
matches
0"was hanging"
1"was fishing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences92
ratio0.054
matches
0"Paramedic fast — the loping, economical stride of a man who had spent years carrying bags up stairwells."
1"The pavement threw back the neon in long bleeding streaks — red, gold, that particular sickly green — and the whole street looked like something dissolving."
2"And under the music, the smell — wet stone and mildew, yes, but also woodsmoke, and hot sugar, and a green herbal reek like a florist's bin, and something with iron in it."
3"She saw the chain come out, saw the flash of the Saint Christopher medallion, and then he pulled something else out from under it — a flat pale sliver on a leather cord."
4"He turned and put his palm against the tiled arch, and where the bone touched stone the darkness inside the tunnel came apart like a curtain going back — light spilling out of nowhere, warm and amber and crowded, a long gullet of a space lined with stalls and canvas and lanterns hung from cabling, and figures moving in it, dozens of them, and the music suddenly loud enough to feel in her sternum."
95.82% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount335
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.04477611940298507
lyAdverbCount2
lyAdverbRatio0.005970149253731343
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean16.27
std16.26
cv0.999
sampleLengths
042
13
210
36
412
536
62
715
88
96
1031
113
123
1328
143
155
162
174
1837
193
2018
2139
225
233
242
2536
265
2726
283
294
3033
3121
3235
337
3430
352
3624
3762
384
394
4013
412
425
4351
445
4512
465
4724
481
4932
83.70% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.5543478260869565
totalSentences92
uniqueOpeners51
86.58% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences77
matches
0"All clean, all boring, all"
1"Of course he ran."
ratio0.026
69.35% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences77
matches
0"She had run the licence,"
1"She had read the tribunal"
2"It was a masterpiece of"
3"He glanced left."
4"He glanced right."
5"They always ran, and Quinn"
6"He was fast."
7"He went east, dodging a"
8"she said, not shouting"
9"He knew Soho."
10"He took the alleys the"
11"She didn't call it in."
12"She went through after him."
13"Her jacket caught on a"
14"She saw white tiles in"
15"She could hear music."
16"He had stopped too."
17"He turned, breathing hard, and"
18"He was fishing in his"
19"She saw the chain come"
ratio0.377
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences77
matches
0"The rain came sideways on"
1"The Raven's Nest."
2"She had run the licence,"
3"Places that clean usually had"
4"She had read the tribunal"
5"It was a masterpiece of"
6"He glanced left."
7"He glanced right."
8"They always ran, and Quinn"
9"He was fast."
10"He went east, dodging a"
11"she said, not shouting"
12"Shouting wasted air."
13"Herrera cut across traffic and"
14"Water sheeted off the awnings."
15"The pavement threw back the"
16"He knew Soho."
17"That was the problem."
18"He took the alleys the"
19"Quinn lost sight of him"
ratio0.701
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences77
matches(empty)
ratio0
86.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount3
matches
0"Paramedic fast — the loping, economical stride of a man who had spent years carrying bags up stairwells."
1"She saw white tiles in the sweep of her torch, the curved shoulder of a tunnel, a strip of ancient enamel advertising a brand of cocoa that hadn't existed since…"
2"There were dozens of them under the city, sealed and forgotten, and this one had been sealed with a padlock the size of her fist, which was hanging open on its …"
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"she said, not shouting"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences11
tagDensity0.455
leniency0.909
rawRatio0
effectiveRatio0
88.5040%