Run: 2026-09-29-01M3P2GJ74QR3SRWETXZCZ9ECT

Run Details

Duration:
42.4s
Cost:
$0.043854
Provider:
Claude Platform on AWS

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 Tube station had been dead for seventy years, but someone had left the lights on. Detective Harlow Quinn descended the last flight of the service stairs into a wash of white halogen. The forensic team had run cable down from the street, and the lamps turned Camden's forgotten platform into a stage set: cracked cream tiles, a rusted enamel sign that read WAY OUT in letters nobody had followed since the war, and in the middle of the platform, a body under a yellow evidence marker. "Ma'am." DS Adeyemi met her at the bottom step with two paper cups. He offered her one. She took it without drinking. "Male, fifties, no ID. Found at six by a maintenance crew checking the ventilation shafts. No visible wounds." "And your reading?" "Squatters, or a party that got out of hand." He nodded at the far end of the platform, where a scatter of candle stubs, broken glass, and trampled cardboard lay against the wall. "Someone's been holding events down here. Pills, probably. He took something bad, his mates panicked and legged it. Happens twice a year in these old stations." Quinn said nothing and walked the length of the platform first, slowly, hands in her coat pockets. Eighteen years had taught her that a scene told its story in the order it wanted, and that a detective who rushed to the body heard only the last sentence. The floor was the first thing that bothered her. Decades of dust lay over the concrete, soft as flour, and the dust was full of writing. Rectangles had been scuffed into it, dozens of them, edge to edge in rows: the footprints of stalls, tables, crates. Something large and busy had happened here, and recently. She counted the rows. A market, she thought. Or the ghost of one. But there were no footprints inside the rectangles. No boots, no trainers, no drag lines from trolleys. The dust had been disturbed and then somehow smoothed, like a beach after a tide. "Your squatters," she said. "How many, would you say?" "Fifty? A hundred? Hard to tell." "A hundred people, and none of them left a single clear print." She crouched, and the worn leather strap of her watch creaked against her wrist. "Where are the prints from your maintenance crew, Sergeant?" Adeyemi opened his mouth, then pointed. A neat trail of boot marks ran from the stairs to the body, tagged with numbered cones. "There. Those are theirs. And ours." "Yes. Those are the only ones, and they go one way." She stood. "Now show me how the victim got to where he's lying." He looked at the floor. Then he looked at it for longer. Quinn walked to the body and crouched beside it, careful to stay on the stepping plates. The man was heavyset, gray-bearded, in a long waxed coat too warm for the season. His face was calm, almost bored. His shoes were the first thing she checked, and they were spotless. Not a mote of dust on the soles or the welts. Either he had floated to the middle of a dust-choked platform, or he had been put here by someone who had walked in backward, erasing their own steps, and had very tidy hands. "Rigor?" she asked. "Hasn't set. Doc thinks he's been dead no more than six hours." "And the temperature?" "Down here? Fourteen, fifteen degrees." "Then why is there frost on his eyelashes?" Adeyemi stepped closer. In the hard white light, the fine hairs of the man's lashes shone with rime, and a delicate crust of ice had formed along the collar of his coat, as if a winter wind had passed over him and nothing else in the room. Quinn held her palm an inch above his chest. The cold there was sharp and local, a chill coming off him the way it comes off a freezer door. "Probably the lamps," Adeyemi said, less certain. "Condensation." "Condensation doesn't stop at the collar." She turned the man's right hand over. The fingers were curled, gripping something. She looked at the pathologist, who gave a small nod, and Quinn eased the fingers open with a gloved thumb. A brass compass lay in his palm, small enough to fit inside a fist. Green verdigris furred the casing, and the glass was etched with tiny sigils, spiraling lines and hooked marks that meant nothing to her and yet made her skin tighten. She had seen marks like that once before, three years ago, scratched into a doorframe at a house where DS Morris had walked in ahead of her and never walked out. She put the memory away. It went reluctantly. "An antique," Adeyemi offered. "Could be worth something. Motive?" "He's clutching it, Sergeant. If it were robbery, it would be gone." She tilted her wrist to examine the face. The needle wasn't pointing north. It quivered, steadied, and swung toward the tracks on the far side of the platform, toward a patch of blackness beneath the tunnel arch where the lamps did not quite reach. She stood and walked to the platform edge. The needle followed her, tugging like a dog on a lead. When she stepped left, it shifted. When she stepped right, it corrected. It wasn't pointing at anything she could see. It was pointing at the air. "Ma'am, is that—" "Turn off the lamps on that side." He hesitated, then called to the technician. The lights on the east side clicked out. The tunnel mouth loomed, and in the dark, for the length of a breath, Quinn thought the blackness held a shape: a tall, faint oval, edged in something paler than light, like a doorway drawn in frost. Then a technician's torch swept across it and it was only a tunnel again. "Lights back on," she said quietly. Her mouth was dry. Rationality, she had found, was a coat you could keep buttoned only so long. "Detective?" Adeyemi's voice was careful. "You all right?" "Who called this in?" "The maintenance crew, like I said. Well, they, and—" He glanced up the stairs. "There's a woman who came down with them. Says she's from the British Museum. She turned up at the street entrance before we'd even taped it off. Said she'd been contacted about the markings." "What markings?" "On the wall behind the candles. I thought it was graffiti." Quinn followed his gaze to a ring of chalked symbols on the tiles, and beside the rusted sign, half-hidden behind a stack of evidence cases, sat a young woman on an upturned crate. Curly red hair, round glasses, a worn leather satchel clutched to her lap as though someone might take it. As Quinn watched, the woman pushed a coil of hair behind her left ear, then did it again, though it had not moved. Quinn knew the face. It was in a file at her desk, in a photograph taken outside a Bloomsbury café, beside three other faces she had been trying to name for a year. "Eva Kowalski," she said, crossing the platform. The woman flinched. "Odd hour for a research assistant to be out." "Detective Quinn." Eva's voice was steady, but her knuckles were white on the satchel strap. "I was asked to look at the inscriptions. The Museum consults, sometimes, on... unusual graffiti." "Who asked you?" A pause, one beat too long. "I didn't get a name. A phone call." "At what time?" "Around five." The maintenance crew had found the body at six. Quinn let the number sit between them, and watched Eva understand what she had said. "Sergeant," Quinn said, without looking away, "you told me squatters. But squatters don't chalk wards, they don't sweep their footprints, and they don't die of cold in a room that's fifteen degrees." She held up the compass, and the needle swung, trembling, not toward the tunnel this time but toward the leather satchel in Eva Kowalski's lap. "Miss Kowalski, I think you'd better tell me what's in your bag."
created_at"2026-09-29T07:54:18.218Z" 9/29/2026, 7:54:18 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4112
moderation_latency(null)
generation_time42387
tokens_prompt896
tokens_completion2433
native_tokens_prompt1287
native_tokens_completion4128
native_tokens_completion_images(null)
native_tokens_reasoning1507
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"
usage0.043854
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668458-BmRje4Y6r50YU8bVuY9D"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668458-27zCcDSngPLms2v9NM4J"
upstream_id"msg_011CfXNS61FcwQSzfj7MFdeU"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNS61FcwQSzfj7MFdeU"
is_byokfalse
latency1075
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.043854
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount1
adverbTags
0"she said quietly [quietly]"
dialogueSentences44
tagDensity0.295
leniency0.591
rawRatio0.077
effectiveRatio0.045
88.76% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1335
totalAiIsmAdverbs3
found
0
adverb"slowly"
count1
1
adverb"very"
count1
2
adverb"reluctantly"
count1
highlights
0"slowly"
1"very"
2"reluctantly"
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)
85.02% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1335
totalAiIsms4
found
0
word"chill"
count1
1
word"etched"
count1
2
word"quivered"
count1
3
word"loomed"
count1
highlights
0"chill"
1"etched"
2"quivered"
3"loomed"
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
narrationSentences77
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences77
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences106
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen57
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1335
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions1
matches
0"When she stepped right, it corrected."
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount998
uniqueNames9
maxNameDensity1.1
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Tube1
Harlow1
Quinn11
Camden1
Adeyemi6
Morris1
Bloomsbury1
Eva3
Kowalski1
persons
0"Harlow"
1"Quinn"
2"Camden"
3"Adeyemi"
4"Morris"
5"Eva"
6"Kowalski"
places
0"Bloomsbury"
globalScore0.949
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount1
matches
0"not quite reach"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.749
wordCount1335
matches
0"not toward the tunnel this time but toward the leather satchel in Eva Kowalski's lap"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences106
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs48
mean27.81
std25.82
cv0.928
sampleLengths
016
171
240
33
459
547
668
732
89
96
1035
1129
1224
1312
1493
153
1612
173
185
198
2076
218
226
2333
2482
259
2656
2731
2814
293
307
3166
3224
338
344
3548
362
3711
3875
3933
4019
4130
423
4314
443
452
4624
4769
87.04% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences77
matches
0"been scuffed"
1"been disturbed"
2"were curled"
3"was etched"
83.04% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs171
matches
0"wasn't pointing"
1"wasn't pointing"
2"was pointing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences106
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1001
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.030969030969030968
lyAdverbCount8
lyAdverbRatio0.007992007992007992
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences106
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences106
mean12.59
std10.93
cv0.868
sampleLengths
016
117
254
313
44
55
618
73
833
926
1017
1130
129
1317
1420
159
164
174
185
198
209
2115
224
235
246
2526
269
276
2817
296
3013
3111
325
337
3416
3515
366
3712
3811
3933
403
4112
423
435
448
453
4644
479
4820
497
85.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.5471698113207547
totalSentences106
uniqueOpeners58
91.32% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences73
matches
0"Then he looked at it"
1"Then a technician's torch swept"
ratio0.027
88.49% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences73
matches
0"He offered her one."
1"She took it without drinking."
2"He nodded at the far"
3"She counted the rows."
4"She crouched, and the worn"
5"He looked at the floor."
6"His face was calm, almost"
7"His shoes were the first"
8"She turned the man's right"
9"She looked at the pathologist,"
10"She had seen marks like"
11"She put the memory away."
12"It went reluctantly."
13"She tilted her wrist to"
14"It quivered, steadied, and swung"
15"She stood and walked to"
16"It wasn't pointing at anything"
17"It was pointing at the"
18"He hesitated, then called to"
19"she said quietly"
ratio0.329
55.89% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences73
matches
0"The Tube station had been"
1"Detective Harlow Quinn descended the"
2"The forensic team had run"
3"DS Adeyemi met her at"
4"He offered her one."
5"She took it without drinking."
6"He nodded at the far"
7"Quinn said nothing and walked"
8"The floor was the first"
9"Decades of dust lay over"
10"Rectangles had been scuffed into"
11"Something large and busy had"
12"She counted the rows."
13"A market, she thought."
14"The dust had been disturbed"
15"She crouched, and the worn"
16"Adeyemi opened his mouth, then"
17"A neat trail of boot"
18"He looked at the floor."
19"Quinn walked to the body"
ratio0.808
68.49% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences73
matches
0"Either he had floated to"
ratio0.014
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount4
matches
0"The forensic team had run cable down from the street, and the lamps turned Camden's forgotten platform into a stage set: cracked cream tiles, a rusted enamel si…"
1"Either he had floated to the middle of a dust-choked platform, or he had been put here by someone who had walked in backward, erasing their own steps, and had v…"
2"In the hard white light, the fine hairs of the man's lashes shone with rime, and a delicate crust of ice had formed along the collar of his coat, as if a winter…"
3"Curly red hair, round glasses, a worn leather satchel clutched to her lap as though someone might take it."
86.54% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount1
matches
0"Quinn said, without looking away,"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences44
tagDensity0.136
leniency0.273
rawRatio0
effectiveRatio0
91.7029%