Run: 2026-02-17-01KHMMDG0JHZGWJMEDWT5Z60EQ

Run Details

Duration:
31.4s
Cost:
$0.037902
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 wasn't her usual crime scene territory, but something about this one had raised flags with her superintendent. Beneath the harsh portable floodlights, she studied the victim's splayed fingers, the odd angle of the limbs. "Looks pretty straightforward to me," Detective Sergeant Chen said from behind her. "Jumper, probably high on something. Wouldn't be the first time someone's broken into an abandoned station for a bit of urban exploring gone wrong." Quinn's jaw tightened. She'd heard that tone before – the one that said this was a waste of time, that she was chasing shadows again. Just like with Morris. "Notice anything unusual about his clothes?" she asked, gesturing to the victim's attire without touching it. Chen shrugged. "Bit posh for a junkie. Proper tailored suit, expensive watch." "Not that." Quinn pointed to the man's breast pocket. "Look at the brass object." The small compass lay half-exposed, its casing dulled with a distinctive green patina. Even in the artificial light, Quinn could make out the intricate etchings on its face. She'd seen something similar once before, in the evidence photos from Morris's last case. "Some kind of antique?" Chen ventured. Quinn stood, her knees protesting. "Maybe." She pulled out her phone and scrolled through her contacts until she found the number she needed. The one Morris had given her, back when she'd thought he was just being paranoid. The forensics team worked methodically around them, photographing and bagging evidence. Quinn paced the platform's edge, her worn leather watch catching the light as she gestured. "The body position's wrong for a jumper. Look at the impact pattern. He was already dead when he hit the ground." "Could've been pushed," Chen offered. "From where? This station's been sealed for decades. No access from the upper levels." Quinn paused, studying the curved tunnel walls. "And where's the blood?" "What?" "Impact this severe should have left a significant blood pattern. But look – barely any spatter. Like he was drained before he was dumped here." Chen shifted uncomfortably. "I'll add it to the report. But you know how the super feels about... unusual theories." Quinn's phone buzzed. A text from her contact at the British Museum – Eva something. The redhead who worked in the restricted archives. The message was brief: "Found reference to similar compass. Need to meet. Urgent." "Handle the scene," Quinn told Chen. "I need to follow up on something." "Quinn..." Chen's warning tone stopped her. "Don't go down another Morris rabbit hole. We all miss him, but—" "Three years," Quinn cut him off. "Three years since my partner vanished, leaving nothing but a brass compass with weird markings and a notebook full of ravings about some underground market. And now we have this." She gestured to the body. "Same compass design. Same lack of blood. Same impossible circumstances." "Coincidences happen." Quinn checked her watch. Nearly midnight. "Not like this they don't." She pulled out her warrant card, double-checking it was secure in her jacket pocket. "If anyone asks, I'm running down a lead about antique dealers in Camden." The walk to her car gave Quinn time to think. Morris had mentioned Camden in his notes – something about the market moving with the full moon. She'd dismissed it then as the ramblings of a man under too much stress. But now... Her phone buzzed again. Eva: "Meet at the usual café. Bringing relevant texts. Watch for followers." Quinn started her car, mind racing. The victim's compass, the location, the full moon tonight – it was all connecting, forming a pattern she'd been blind to before. Morris hadn't been crazy. He'd been onto something, something big enough to get him killed. Or worse – taken. As she pulled into traffic, Quinn glanced in her rearview mirror. For a moment, she could have sworn she saw something move in the shadows, something that didn't quite match the normal play of light and darkness. But when she looked again, it was gone. The piece that had been missing from Morris's case was finally sliding into place. She didn't know what this underground market was, or how it connected to her partner's disappearance, but she had a feeling Eva Kowalski's research was about to fill in some crucial gaps. And this time, Quinn was ready for whatever impossible truth awaited her. She just hoped she wasn't too late to prevent another victim from joining the growing list of impossibilities that seemed to center around a small brass compass and an abandoned Tube station beneath Camden.
created_at"2026-02-17T01:46:42.308349+00:00" 2/17/2026, 1:46:42 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1030
moderation_latency235
generation_time31141
tokens_prompt923
tokens_completion1221
native_tokens_prompt937
native_tokens_completion1076
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"
usage0.037902
router(null)
provider_responses
0
id"066676b9-da28-45e9-9ee1-a01a39f33869"
status200
is_byokfalse
latency1029
endpoint_id"d4fb79bd-9786-4932-af81-b83040e9f4e4"
provider_name"Amazon Bedrock"
model_permaslug"anthropic/claude-3.5-sonnet"
api_type"completions"
id"gen-1771292770-Avcn5N3M9TueqEa4SQ1q"
upstream_id"066676b9-da28-45e9-9ee1-a01a39f33869"
total_cost0.037902
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences27
tagDensity0.444
leniency0.889
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount763
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
86.89% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount763
totalAiIsms2
found
0
word"intricate"
count1
1
word"racing"
count1
highlights
0"intricate"
1"racing"
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
narrationSentences51
matches(empty)
58.82% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences51
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences64
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords769
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount523
uniqueNames11
maxNameDensity2.87
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn15
Tube2
Sergeant1
Chen7
Morris6
British1
Museum1
Eva3
Camden2
Kowalski1
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Chen"
4"Morris"
5"Kowalski"
places
0"British"
1"Museum"
globalScore0.066
windowScore0
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences31
glossingSentenceCount2
matches
0"quite match the normal play of light and darkness"
1"impossibilities that seemed to center around a small brass compass and an abandoned Tube station beneath Camden"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount769
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences64
matches
0"heard that tone"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean28.48
std16.59
cv0.582
sampleLengths
053
136
229
316
412
514
642
76
838
947
105
1125
121
1325
1419
1536
1613
1718
1851
192
2038
2143
2216
2347
2445
2558
2634
98.38% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences51
matches
0"was gone"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs94
matches
0"was chasing"
1"was just being"
2"was finally sliding"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences64
ratio0.078
matches
0"She'd heard that tone before – the one that said this was a waste of time, that she was chasing shadows again."
1"A text from her contact at the British Museum – Eva something."
2"Morris had mentioned Camden in his notes – something about the market moving with the full moon."
3"The victim's compass, the location, the full moon tonight – it was all connecting, forming a pattern she'd been blind to before."
4"Or worse – taken."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount520
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.03461538461538462
lyAdverbCount4
lyAdverbRatio0.007692307692307693
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences64
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences64
mean12.02
std8.04
cv0.669
sampleLengths
015
121
217
312
424
53
622
74
816
92
1010
119
125
1313
1415
1514
166
175
1818
1915
2011
2115
2221
235
2421
254
261
2725
283
2916
303
3112
328
3313
346
357
366
3712
386
3935
4010
412
424
432
4419
4513
4610
4717
4814
492
94.27% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.59375
totalSentences64
uniqueOpeners38
74.07% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences45
matches
0"Just like with Morris."
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences45
matches
0"She'd heard that tone before"
1"she asked, gesturing to the"
2"She'd seen something similar once"
3"She pulled out her phone"
4"She gestured to the body"
5"She pulled out her warrant"
6"She'd dismissed it then as"
7"Her phone buzzed again."
8"He'd been onto something, something"
9"She didn't know what this"
10"She just hoped she wasn't"
ratio0.244
48.89% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences45
matches
0"Detective Harlow Quinn crouched beside"
1"The abandoned Tube platform wasn't"
2"Detective Sergeant Chen said from"
3"Quinn's jaw tightened."
4"She'd heard that tone before"
5"she asked, gesturing to the"
6"Quinn pointed to the man's"
7"The small compass lay half-exposed,"
8"She'd seen something similar once"
9"Quinn stood, her knees protesting."
10"She pulled out her phone"
11"The one Morris had given"
12"The forensics team worked methodically"
13"Quinn paced the platform's edge,"
14"Quinn paused, studying the curved"
15"Chen shifted uncomfortably."
16"Quinn's phone buzzed."
17"A text from her contact"
18"The redhead who worked in"
19"The message was brief:"
ratio0.822
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences45
matches
0"Even in the artificial light,"
ratio0.022
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount1
matches
0"She just hoped she wasn't too late to prevent another victim from joining the growing list of impossibilities that seemed to center around a small brass compass…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences27
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
81.3778%