Run: 2026-02-17-01KHMMC98ESY6E4FC3JE3S39SG

Run Details

Duration:
42.4s
Cost:
$0.046002
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
Detective Harlow Quinn crouched beside the body, ignoring the damp seeping through her trouser knees. The abandoned Tube platform hadn't seen regular commuters in decades, but tonight it hosted a grim tableau. The victim lay spread-eagled on the cracked tiles, limbs arranged with unnatural precision. No blood, no signs of struggle. Just a man in an expensive suit who looked like he'd decided to take a nap in a forgotten corner of London's underground. Except for the expression frozen on his face. Pure terror. Quinn checked her worn leather watch. 3:47 AM. The fluorescent work lights the forensics team had set up cast harsh shadows across the platform, turning the station's Victorian architectural details into leering faces. "Cause of death isn't immediately apparent," said Dr. Chen, the ME, snapping off her latex gloves. "No external trauma, no ligature marks. Tox screen pending, but-" "But you've never seen anything quite like it?" Quinn finished, her jaw tightening. The words were becoming too familiar lately. "Precisely." Chen gathered her equipment, clearly eager to get the body back to the morgue's better lighting and climate control. Quinn stood, her knees protesting, and surveyed the scene again. Something about this place needled at her consciousness. The platform showed signs of recent use - scuff marks on the tiles, modern graffiti layered over decades-old tags. But it wasn't the usual urban explorer territory. The access tunnel they'd used to reach this level had been sealed until someone reported strange noises two days ago. "Detective?" A familiar voice echoed across the platform. Eva Kowalski hurried toward her, red curls bouncing, her ever-present satchel slapping against her hip. The British Museum researcher had been consulting on several of Quinn's recent cases, though Quinn still wasn't entirely sure who had authorized that arrangement. "Ms. Kowalski. This is an active crime scene." Quinn's tone carried a warning, but Eva just pushed her round glasses up her nose and tucked a wayward strand of hair behind her left ear. "I know. That's why I'm here. You called about the symbols?" Quinn hadn't called anyone, but she'd learned to pick her battles. She gestured to the far wall where, half-hidden behind a modern advertisement poster, someone had carved an intricate pattern of interlocking circles and angular shapes. Eva's green eyes widened. She fumbled in her satchel, producing a small brass compass that looked antique but somehow wrong - too bright in places, too tarnished in others. Its face was covered in markings similar to the wall carvings. "Interesting," Eva murmured, holding the compass at arm's length. "This station... it's not on any official maps, is it?" "Technically, no." Quinn watched the younger woman carefully. "Care to share your thoughts?" Eva glanced at the body being loaded onto a gurney, then back at Quinn. "You've noticed there's no dust on him? In a sealed station?" Quinn had noticed. Just like she'd noticed how the temperature dropped ten degrees near the platform's north end, how their radio signals got staticky in specific spots, how the victim's expensive watch had stopped at exactly midnight despite the ME estimating time of death closer to 2 AM. "This isn't just any abandoned station," Eva continued, her freckled face intense. "This is one of the Market's old locations. See how the carvings form a perfect circle around the platform? Protection sigils. And these marks here?" She pointed to what Quinn had assumed was wear on the tile edge. "That's from bone tokens. Hundreds of them, over years." "The Market," Quinn repeated flatly. Another term she'd been hearing too often lately, always accompanied by impossible explanations for equally impossible crimes. Like what had happened to Morris three years ago... The compass in Eva's hand suddenly spun wildly, its needle whirling like a deranged weathervane. A cold draft swept the platform, sending paper evidence markers fluttering. "We should go," Eva said, shoving the compass back into her satchel. "The Market moves with the full moon, but it leaves... echoes. Especially when something's gone wrong." Quinn caught her arm. "Ms. Kowalski. I have a dead body and a crime scene that's making less sense by the minute. I need straight answers." "What you need," Eva said quietly, "is to start accepting that some crimes can't be solved with standard forensics and witness statements. Your victim didn't die from any cause Dr. Chen will find in her lab. He died from fear - pure, supernatural terror. And if we don't leave soon, we might find out exactly what scared him to death." The lights flickered. In the darkness between pulses, Quinn could have sworn she saw market stalls shimmer into existence along the platform, translucent figures browsing impossible wares. When the lights stabilized, there was only the empty station - but now she noticed the subtle patterns worn into the floor, exactly the width of vendor booths. "Fine," Quinn said, her military-precise posture tight with tension. "But tomorrow, you're going to explain everything you know about this Market. And Ms. Kowalski?" She fixed the researcher with a hard stare. "No more half-truths. I need to know what really happened to my partner." Eva nodded, already hurrying toward the exit. "Tomorrow. I promise. But Detective?" She paused, looking back. "You might want to start carrying iron. Just in case." Quinn watched her go, then took one last look at the crime scene. In three years of investigating Morris's disappearance, she'd accumulated a file full of similar scenes - unexplainable deaths, impossible evidence, and always these strange symbols lurking at the edges. For the first time, she felt like she might be close to understanding what she was really investigating. She just wasn't sure she was ready for the answers.
created_at"2026-02-17T01:46:13.313588+00:00" 2/17/2026, 1:46:13 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1068
moderation_latency135
generation_time41835
tokens_prompt923
tokens_completion1512
native_tokens_prompt937
native_tokens_completion1346
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"
usage0.046002
router(null)
provider_responses
0
id"af65151b-016d-43bd-98e2-6ae3d5c0e344"
status200
is_byokfalse
latency1068
endpoint_id"0e1957b3-205b-49d5-8413-13af3f68676d"
provider_name"Amazon Bedrock"
model_permaslug"anthropic/claude-3.5-sonnet"
api_type"completions"
id"gen-1771292730-TwwuKJHIbVyVmo7KypVz"
upstream_id"af65151b-016d-43bd-98e2-6ae3d5c0e344"
total_cost0.046002
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
57.14% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount2
adverbTags
0"Quinn repeated flatly [flatly]"
1"Eva said quietly [quietly]"
dialogueSentences25
tagDensity0.56
leniency1
rawRatio0.143
effectiveRatio0.143
73.46% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount942
totalAiIsmAdverbs5
found
0
adverb"precisely"
count1
1
adverb"carefully"
count1
2
adverb"suddenly"
count1
3
adverb"really"
count2
highlights
0"precisely"
1"carefully"
2"suddenly"
3"really"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Chen"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
52.23% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount942
totalAiIsms9
found
0
word"familiar"
count2
1
word"echoed"
count1
2
word"intricate"
count1
3
word"perfect"
count1
4
word"echoes"
count1
5
word"standard"
count1
6
word"flickered"
count1
7
word"tension"
count1
highlights
0"familiar"
1"echoed"
2"intricate"
3"perfect"
4"echoes"
5"standard"
6"flickered"
7"tension"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences55
matches(empty)
90.91% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences55
filterMatches
0"watch"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences65
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen59
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords947
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
26.63% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount689
uniqueNames12
maxNameDensity2.47
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn17
Tube1
London1
Victorian1
Dr1
Chen2
Eva10
Kowalski1
British1
Museum1
Morris2
persons
0"Harlow"
1"Quinn"
2"Dr"
3"Chen"
4"Eva"
5"Kowalski"
6"Morris"
places
0"London"
globalScore0.266
windowScore0.5
36.36% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount2
matches
0"looked like he'd decided to take a nap in"
1"felt like she might be close to underst"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount947
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences65
matches
0"authorized that arrangement"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean35.07
std17.84
cv0.509
sampleLengths
074
110
233
326
420
520
665
747
834
911
1036
1140
1219
1313
1425
1548
1659
1731
1826
1928
2026
2160
2255
2345
2426
2560
2610
92.50% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences55
matches
0"been sealed"
1"was covered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs125
matches
0"was really investigating"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences65
ratio0.062
matches
0"The platform showed signs of recent use - scuff marks on the tiles, modern graffiti layered over decades-old tags."
1"She fumbled in her satchel, producing a small brass compass that looked antique but somehow wrong - too bright in places, too tarnished in others."
2"When the lights stabilized, there was only the empty station - but now she noticed the subtle patterns worn into the floor, exactly the width of vendor booths."
3"In three years of investigating Morris's disappearance, she'd accumulated a file full of similar scenes - unexplainable deaths, impossible evidence, and always these strange symbols lurking at the edges."
85.64% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount690
adjectiveStacks1
stackExamples
0"over decades-old tags."
adverbCount34
adverbRatio0.04927536231884058
lyAdverbCount14
lyAdverbRatio0.020289855072463767
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences65
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences65
mean14.57
std10.39
cv0.713
sampleLengths
015
117
213
36
423
58
62
76
82
925
108
118
1210
1313
147
1520
1610
178
1819
198
2020
218
2215
2324
2434
2511
2611
2725
284
2925
3011
319
3210
338
345
3514
3611
373
3845
3912
4038
419
425
4317
449
4515
4611
4712
4816
494
84.10% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5230769230769231
totalSentences65
uniqueOpeners34
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences52
matches
0"Just a man in an"
1"Just like she'd noticed how"
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences52
matches
0"She gestured to the far"
1"She fumbled in her satchel,"
2"Its face was covered in"
3"She pointed to what Quinn"
4"She fixed the researcher with"
5"She paused, looking back"
6"She just wasn't sure she"
ratio0.135
56.15% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount42
totalSentences52
matches
0"Detective Harlow Quinn crouched beside"
1"The abandoned Tube platform hadn't"
2"The victim lay spread-eagled on"
3"Quinn checked her worn leather"
4"The fluorescent work lights the"
5"Chen, the ME, snapping off"
6"Quinn finished, her jaw tightening"
7"The words were becoming too"
8"Chen gathered her equipment, clearly"
9"Quinn stood, her knees protesting,"
10"Something about this place needled"
11"The platform showed signs of"
12"The access tunnel they'd used"
13"A familiar voice echoed across"
14"Eva Kowalski hurried toward her,"
15"The British Museum researcher had"
16"Quinn's tone carried a warning,"
17"Quinn hadn't called anyone, but"
18"She gestured to the far"
19"Eva's green eyes widened."
ratio0.808
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences52
matches(empty)
ratio0
85.71% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount2
matches
0"Just a man in an expensive suit who looked like he'd decided to take a nap in a forgotten corner of London's underground."
1"She fumbled in her satchel, producing a small brass compass that looked antique but somehow wrong - too bright in places, too tarnished in others."
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount2
matches
0"Quinn finished, her jaw tightening"
1"Eva continued, her freckled face intense"
30.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount3
fancyTags
0"Eva murmured (murmur)"
1"Eva continued (continue)"
2"Quinn repeated flatly (repeat)"
dialogueSentences25
tagDensity0.24
leniency0.48
rawRatio0.5
effectiveRatio0.24
76.8142%