Run: 2026-04-24-01KPZV0C9514XC19GDVDG8WR82

Run Details

Duration:
32.0s
Cost:
$0.063550
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 tiles at Camden's disused Tube platform were slick with something that wasn't water. Detective Harlow Quinn ducked beneath the strip of tape the uniforms had strung across the service corridor and paused at the top of the stairs. The air down there had a weight to it, a pressure that pressed against her eardrums the way a coming storm did. She checked her watch — the worn leather strap tightened automatically when she flexed her wrist — and logged the time. Eleven-forty-two. She'd been called out of bed eighty-three minutes ago. The forensics team had been here for sixty of them, and by the look of things, they had accomplished precisely nothing. She descended. Her boots rang on the iron treads. At the bottom, emergency lights had been wired to a petrol generator someone had hauled down, and the chugging of its engine echoed off the curved tile walls with a rhythm like a tired heart. The platform stretched in both directions into darkness. In the middle of it, ringed by yellow markers, lay the body. "Detective Quinn." DC Abena Osei straightened from a crouch and came to meet her. Osei was young, good, and unshakeable, which was why Quinn had asked for her. "Glad you came. This one's — " She stopped herself. "Strange." "Strange how?" "Every way." Quinn didn't answer. She walked the perimeter first, as she always did, because a crime scene was a sentence and you read it from the edges in. The platform had been sealed since 1992, but someone had been using it. Candle stubs sat in niches where the old advertising posters had peeled away. The tiles were scuffed in patterns that suggested foot traffic, plural, regular. In the corner near the stair, she noted a heap of small objects: coins, teeth, what looked like the knuckle-bone of something small. Offerings. She didn't use the word, even in her head, but she noted the shape of it. Then the body. He had been a man in his fifties, well-dressed, camel coat now ruined. He lay on his back with his arms crossed over his chest in a posture too composed for violence. No blood pool. That was the first thing wrong. The second was his face — the skin had the texture of old paper, drawn tight, as though something had been slowly drunk out of him from the inside. His eyes were open. They were entirely white. Osei came up beside her, notebook out. "Victim is Martin Aldridge, fifty-three, Hampstead. Antiques dealer, apparently. Wife reported him missing yesterday morning. Cause of death looks like cardiac arrest. There's no trauma, no sign of struggle — " "His eyes, Osei." "Cataracts, the medic thinks. Advanced. Possibly a pre-existing condition." "Both of them. Complete. And the skin?" "Dehydration, they said. He's been down here a while, maybe — " "He's been down here six hours," Quinn said. "Maybe eight. His shoes are clean on the soles. There's dust everywhere on this platform and none on him." Osei's pen hovered. "Ma'am." Quinn crouched. The knees of her trousers kissed the tiles and she felt the cold through the fabric, and beneath the cold something else — that pressure again, low and humming, the way a transformer hummed if you put your hand on the casing. She looked at Aldridge's hands. Manicured. A signet ring on the right. On the left, a pale band where a watch had been and wasn't now. "He was wearing a watch," she said. "Taken off after death. Look at the indent — the skin's still compressed. You don't get that if it's been off for hours." "Robbery, then." "Then why leave the ring? It's gold. The watch was probably leather and steel." She moved her eyes across the body without touching it. Beside his left hand, almost hidden where his coat had fallen open, something glinted. She fished a gloved finger under the wool and drew the coat back. A small brass compass lay against his palm, as though it had fallen from his fingers. Its casing was green with verdigris in the joints. Its face was etched with markings that were not compass points — she could see that even in the poor light. Little curling shapes. Sigils, her mind supplied, and she didn't like the word. The needle was moving. Not spinning — tracking. As she shifted her weight, it swung with her, adjusting, as though it were pointing not at her but through her, at something past her. Quinn glanced over her shoulder. The dark mouth of the tunnel yawned there, and the needle pointed into it with a quiet, steady certainty. "Osei," she said. "What does this look like to you?" Osei leaned in. "Antique. Nice piece, actually. Part of his trade, maybe. Collector, he'd have carried samples — " "The needle." "It's pointing." "At what?" Osei straightened. "At magnetic north, ma'am." Quinn turned her own body a quarter circle. The needle followed her, as though leashed to her movement, then settled again on the tunnel. "That," she said slowly, "is not magnetic north." Osei opened her mouth, closed it. She said, with the careful tone of someone who had decided her superior needed handling, "Compasses down here can behave oddly. All the ironwork. The old cabling." "Mm." Quinn did not argue. She had learned three years ago, the hard way, that arguing was how you got written up, or shelved, or sent for counselling you didn't need. She had learned to keep her observations behind her teeth and to write her real reports in a notebook nobody else read. She thought of Morris. She thought of the way he had gone, and the way nothing about it had made sense, and how every time she had insisted something was wrong, a colleague had offered her a kinder interpretation until the kinder interpretation became the record and the truth became only hers. She would not make that mistake again. She photographed the compass in situ with her phone. She photographed the offerings in the corner. She photographed the candle stubs, the scuffed tiles, the ring of markers around Martin Aldridge, whose body had arrived here without disturbing the dust. "Bag the compass separately," she said. "I'll sign it out. I want it on my desk, not in the general evidence locker." "Ma'am — " "Separately, Osei." Osei hesitated, then nodded once, crisply, and set about it. Quinn stood. The pressure in her ears had not abated. Somewhere down the tunnel, water dripped at intervals that were almost — but not quite — regular, as though something were counting. She looked again at the dead man's white eyes and felt, for the first time in three years, that she was standing at the edge of the same dark room she had lost her partner in, and that this time she intended to find the door. She slipped the evidence bag with the compass into her coat pocket, against regulation, and climbed the iron stairs back toward a city that, she was beginning to understand, had another city underneath it.
created_at"2026-04-24T13:31:28.434Z" 4/24/2026, 1:31:28 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency860
moderation_latency(null)
generation_time31928
tokens_prompt923
tokens_completion1772
native_tokens_prompt1290
native_tokens_completion2284
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
usage0.06355
router(null)
provider_responses
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endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
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is_byokfalse
latency860
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
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http_referer(null)
request_id"req-1777037488-D8V6CzypkfxLsyufknhZ"
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api_type"completions"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount1
adverbTags
0"she said slowly [slowly]"
dialogueSentences31
tagDensity0.323
leniency0.645
rawRatio0.1
effectiveRatio0.065
87.10% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1163
totalAiIsmAdverbs3
found
0
adverb"precisely"
count1
1
adverb"slowly"
count2
highlights
0"precisely"
1"slowly"
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)
74.20% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1163
totalAiIsms6
found
0
word"weight"
count2
1
word"echoed"
count1
2
word"etched"
count1
3
word"magnetic"
count2
highlights
0"weight"
1"echoed"
2"etched"
3"magnetic"
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
narrationSentences78
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences78
filterMatches
0"watch "
hedgeMatches
0"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences99
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1182
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount959
uniqueNames9
maxNameDensity0.94
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden1
Tube1
Harlow1
Quinn9
Abena1
Osei8
Aldridge2
Morris1
Martin1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Osei"
4"Aldridge"
5"Morris"
6"Martin"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount1
matches
0"looked like the knuckle-bone of something"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.846
wordCount1182
matches
0"not at her but through her, at something past her"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences99
matches
0"make that mistake"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs43
mean27.49
std28.29
cv1.029
sampleLengths
014
199
22
362
439
52
62
7105
83
978
1038
113
129
137
1412
1527
164
1770
1830
192
2051
2159
224
2353
2410
2519
262
272
282
296
3024
318
3233
3353
3452
357
3640
3722
383
392
4010
4178
4234
78.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences78
matches
0"been called"
1"been wired"
2"been sealed"
3"were scuffed"
4"was etched"
5"got written"
32.29% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs159
matches
0"were pointing"
1"were counting"
2"was standing"
3"was beginning"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences99
ratio0.061
matches
0"She checked her watch — the worn leather strap tightened automatically when she flexed her wrist — and logged the time."
1"The second was his face — the skin had the texture of old paper, drawn tight, as though something had been slowly drunk out of him from the inside."
2"The knees of her trousers kissed the tiles and she felt the cold through the fabric, and beneath the cold something else — that pressure again, low and humming, the way a transformer hummed if you put your hand on the casing."
3"Its face was etched with markings that were not compass points — she could see that even in the poor light."
4"Not spinning — tracking."
5"Somewhere down the tunnel, water dripped at intervals that were almost — but not quite — regular, as though something were counting."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount956
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.02405857740585774
lyAdverbCount7
lyAdverbRatio0.007322175732217573
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences99
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences99
mean11.94
std10.37
cv0.869
sampleLengths
014
125
222
321
41
59
621
72
87
935
108
1112
1214
1314
1410
151
162
172
183
1924
2013
2113
2212
2323
241
2516
263
2713
2819
293
306
3129
324
334
347
3531
363
379
387
3912
408
4119
423
431
442
4542
465
471
486
4914
64.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.45454545454545453
totalSentences99
uniqueOpeners45
99.50% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences67
matches
0"Then the body."
1"Somewhere down the tunnel, water"
ratio0.03
58.81% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences67
matches
0"She checked her watch —"
1"She'd been called out of"
2"Her boots rang on the"
3"She stopped herself"
4"She walked the perimeter first,"
5"She didn't use the word,"
6"He had been a man"
7"He lay on his back"
8"His eyes were open."
9"They were entirely white."
10"She looked at Aldridge's hands."
11"She moved her eyes across"
12"She fished a gloved finger"
13"Its casing was green with"
14"Its face was etched with"
15"she said slowly"
16"She said, with the careful"
17"She had learned three years"
18"She had learned to keep"
19"She thought of Morris."
ratio0.403
42.09% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences67
matches
0"The tiles at Camden's disused"
1"Detective Harlow Quinn ducked beneath"
2"The air down there had"
3"She checked her watch —"
4"She'd been called out of"
5"The forensics team had been"
6"Her boots rang on the"
7"The platform stretched in both"
8"DC Abena Osei straightened from"
9"Osei was young, good, and"
10"She stopped herself"
11"Quinn didn't answer."
12"She walked the perimeter first,"
13"The platform had been sealed"
14"Candle stubs sat in niches"
15"The tiles were scuffed in"
16"She didn't use the word,"
17"He had been a man"
18"He lay on his back"
19"That was the first thing"
ratio0.836
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences67
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount4
matches
0"The tiles at Camden's disused Tube platform were slick with something that wasn't water."
1"A small brass compass lay against his palm, as though it had fallen from his fingers."
2"As she shifted her weight, it swung with her, adjusting, as though it were pointing not at her but through her, at something past her."
3"Somewhere down the tunnel, water dripped at intervals that were almost — but not quite — regular, as though something were counting."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences31
tagDensity0.194
leniency0.387
rawRatio0
effectiveRatio0
83.3467%