Run: 2026-07-01-01KWE8Q30FFWRXZYD31TA80Z3Y

Run Details

Duration:
34.4s
Cost:
$0.022350
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 abandoned Tube station smelled of copper and cold stone, and underneath that, faint as a held breath, something Detective Harlow Quinn couldn't name. She ducked under the police tape strung across the escalator well, her torch beam cutting through dust that hung in the air like it had never been disturbed, though the platform below was crawling with her people. "Careful on the steps, ma'am. Third one's loose." Sergeant Danvers hovered at her elbow, young and eager and utterly out of his depth. She could see it in the way he kept glancing toward the tunnel mouth, then away, like something down there might notice him looking. "Camden Town's been closed since '92," she said, more to herself than him. "Why's a body turning up in a station that doesn't exist on any current map?" "Squatters, maybe? Ravers found an old access point?" She said nothing, saving her breath for the stairs. Eighteen years on the force had taught her that the answer was rarely the first one offered, no matter how tidy it sounded. The platform opened up before her, lit by portable floodlights that threw everything into a flat, merciless white. The victim lay near the platform edge — male, mid-thirties by the look of him, expensive coat, no visible wounds that she could see from here. Two SOCOs in white suits crouched over him like crows over roadkill. "Cause of death?" she asked, crouching at a respectful distance. "That's the thing, Detective." This was Okafor, one of the better scene examiners, his voice carrying that particular flatness people used when they didn't want to sound as unsettled as they felt. "No blood. No trauma. No sign of struggle. His heart's just... stopped." "Heart attack, then. Man in his thirties, stress of the job, wrong place at the wrong time." "That's what I said." Danvers, behind her, sounding relieved someone had said it aloud. Quinn didn't answer. She was looking at the dust. It coated everything — the benches, the old enamel signs, the curved tile walls gone soft with grime — undisturbed except for a scatter of footprints leading to the body and the neat rectangle where he now lay. But there was a second set of marks, fainter, arranged in a wide circle around the corpse, like something had traced a ring in the dust and then smoothed most of it away. "Danvers. Get a photo of this. All the way around." "Of the... dust?" "All the way around." She stood and walked the perimeter slowly, torch angled low so the beam raked sideways across the platform, catching every scuff and groove. The circle wasn't perfect — closer to a lopsided oval — but it was deliberate. No footprints crossed into it except the direct path to the body, as if whoever made the mark had known exactly where to step to avoid disturbing it. "Sergeant. What do the man's shoes tell you?" Danvers leaned in, wrinkling his nose. "Bit of wear on the heels. Nothing special." "No mud. No dust on the soles, despite the state of this platform. If he walked in on his own two feet, he'd be tracking half of London down here with him." "So he was carried." "Or he didn't walk in the conventional sense." She let that sit, watching Danvers's face do the thing young officers' faces did when they wanted to ask a question but were afraid it would sound stupid. Okafor cleared his throat. "Preliminary read is natural causes, ma'am. I know the setting's odd, but sometimes odd is just odd. Bloke wandered down here to score something illegal, heart gave out from the excitement, that's all there is to it." "Then why," Quinn said, crouching again beside the body, close enough now to see what the floodlights had washed out, "does he have frost on his collar in the middle of July?" That got Okafor's attention. He leaned down, careful, and touched two gloved fingers to the fabric. It was true — a fine white rime clung to the wool, already beginning to bead into water under the warmth of the lights, but unmistakably there. Frost, in an underground station in high summer, on a dead man who showed no other sign of exposure to cold. "Could be from the refrigeration unit they use to preserve tissue before we—" "There's no refrigeration unit here, Constable. This station's been dead for thirty years." She straightened, joints protesting, and turned her torch on the tunnel mouth beyond the platform's edge, where the tracks vanished into true dark. The air down there had a different quality to it — thicker, somehow, though she couldn't have said why she thought so. She thought of Morris. Three years dead now, and she still hadn't managed a report that made sense of what she'd seen that night, so she'd written the version that let her keep her badge and buried the rest where even she didn't look at it too often. She'd promised herself, after, that she wouldn't do that again. That she'd follow the evidence wherever it actually led, and not just to the tidiest door. "Danvers. I want a full inventory of everything in a twenty-foot radius. Every scuff, every mark, every piece of debris, no matter how insignificant it looks. And get me the log for who's had access to this station since it closed. Someone's been keeping it clean enough to notice new dust, and that means someone's been coming down here regularly for longer than we've had this cordoned." "You think this is connected to something bigger?" Quinn didn't answer right away. She was looking at the circle again, at its careless, hurried edge where the maker had clearly rushed the final few feet, sloppy where the rest was precise. Someone had been in a hurry to finish and leave. That kind of urgency didn't come from natural causes. "I think," she said finally, "that we're standing in the wrong century's crime scene, and everyone keeps trying to solve it with this one's assumptions." Behind her, Okafor made a small, disbelieving sound, but he didn't argue. Danvers just stared at her, torch trembling slightly in his grip, and said nothing at all — which, of the two reactions, she found far more honest.
created_at"2026-07-01T07:18:55.411Z" 7/1/2026, 7:18:55 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
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generation_time34131
tokens_prompt923
tokens_completion1559
native_tokens_prompt1285
native_tokens_completion1978
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native_tokens_reasoning0
native_tokens_cached0
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num_input_audio_prompt(null)
num_media_completion0
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
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service_tier"default"
usage0.02235
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provider_responses
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latency1819
model_permaslug"anthropic/claude-sonnet-5-20260630"
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
totalTags9
adverbTagCount1
adverbTags
0"she said finally [finally]"
dialogueSentences24
tagDensity0.375
leniency0.75
rawRatio0.111
effectiveRatio0.083
85.56% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1039
totalAiIsmAdverbs3
found
0
adverb"utterly"
count1
1
adverb"slowly"
count1
2
adverb"slightly"
count1
highlights
0"utterly"
1"slowly"
2"slightly"
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)
75.94% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1039
totalAiIsms5
found
0
word"unsettled"
count1
1
word"traced"
count1
2
word"perfect"
count1
3
word"warmth"
count1
4
word"sense of"
count1
highlights
0"unsettled"
1"traced"
2"perfect"
3"warmth"
4"sense of"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences41
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences41
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences56
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen68
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1047
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount702
uniqueNames7
maxNameDensity0.71
worstName"Danvers"
maxWindowNameDensity1.5
worstWindowName"Danvers"
discoveredNames
Tube1
Detective1
Harlow1
Quinn4
Danvers5
Okafor4
Morris1
persons
0"Harlow"
1"Quinn"
2"Danvers"
3"Okafor"
4"Morris"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1047
matches(empty)
47.62% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences56
matches
0"let that sit"
1"seen that night"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean32.72
std22.79
cv0.696
sampleLengths
061
147
228
38
432
556
610
744
817
914
109
1171
1210
133
144
1566
168
1714
1832
194
2036
2141
2232
2364
2413
2558
2674
2767
288
2952
3025
3139
96.71% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences41
matches
0"been disturbed"
27.59% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs116
matches
0"was crawling"
1"was looking"
2"was looking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences56
ratio0.107
matches
0"The victim lay near the platform edge — male, mid-thirties by the look of him, expensive coat, no visible wounds that she could see from here."
1"It coated everything — the benches, the old enamel signs, the curved tile walls gone soft with grime — undisturbed except for a scatter of footprints leading to the body and the neat rectangle where he now lay."
2"The circle wasn't perfect — closer to a lopsided oval — but it was deliberate."
3"It was true — a fine white rime clung to the wool, already beginning to bead into water under the warmth of the lights, but unmistakably there."
4"The air down there had a different quality to it — thicker, somehow, though she couldn't have said why she thought so."
5"Danvers just stared at her, torch trembling slightly in his grip, and said nothing at all — which, of the two reactions, she found far more honest."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount556
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.03237410071942446
lyAdverbCount5
lyAdverbRatio0.008992805755395683
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences56
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences56
mean18.7
std12.83
cv0.686
sampleLengths
024
137
223
324
413
515
68
79
823
918
1026
1112
1210
1332
1412
1517
1614
173
186
1938
2033
2110
223
234
2423
2515
2628
278
286
298
3032
314
3236
334
3437
3532
364
3712
3827
3921
4013
4136
4222
434
4444
4510
4616
4767
488
495
98.21% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.6071428571428571
totalSentences56
uniqueOpeners34
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences41
matches(empty)
ratio0
63.90% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences41
matches
0"She ducked under the police"
1"She could see it in"
2"she said, more to herself"
3"She said nothing, saving her"
4"she asked, crouching at a"
5"She was looking at the"
6"It coated everything — the"
7"She stood and walked the"
8"She let that sit, watching"
9"He leaned down, careful, and"
10"It was true — a"
11"She straightened, joints protesting, and"
12"She thought of Morris."
13"She'd promised herself, after, that"
14"She was looking at the"
15"she said finally"
ratio0.39
45.37% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount34
totalSentences41
matches
0"The abandoned Tube station smelled"
1"She ducked under the police"
2"Sergeant Danvers hovered at her"
3"She could see it in"
4"she said, more to herself"
5"She said nothing, saving her"
6"The platform opened up before"
7"The victim lay near the"
8"she asked, crouching at a"
9"This was Okafor, one of"
10"Danvers, behind her, sounding relieved"
11"Quinn didn't answer."
12"She was looking at the"
13"It coated everything — the"
14"She stood and walked the"
15"The circle wasn't perfect —"
16"Danvers leaned in, wrinkling his"
17"She let that sit, watching"
18"Okafor cleared his throat."
19"Quinn said, crouching again beside"
ratio0.829
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences41
matches(empty)
ratio0
18.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount4
matches
0"She ducked under the police tape strung across the escalator well, her torch beam cutting through dust that hung in the air like it had never been disturbed, th…"
1"The platform opened up before her, lit by portable floodlights that threw everything into a flat, merciless white."
2"No footprints crossed into it except the direct path to the body, as if whoever made the mark had known exactly where to step to avoid disturbing it."
3"Frost, in an underground station in high summer, on a dead man who showed no other sign of exposure to cold."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount1
matches
0"she said, more to herself than him"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences24
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
77.6324%