Run: 2026-09-29-01M3P2CY2Y3DDBPBHN3J0SZSHW

Run Details

Duration:
36.4s
Cost:
$0.037064
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 at Camden had been dead since 1974, and it smelled like it. Damp brick, old rust, the sour breath of tunnels that had forgotten trains. Detective Harlow Quinn descended the last of the maintenance stairs with her torch angled low, one hand on the rail out of habit rather than need. Below her, the platform glowed with the white wash of forensic lamps, and the tiled walls threw the light back in sickly greens and creams. "Ma'am." DS Adeyemi met her at the bottom, paper suit rustling. He held out a second one, and she took it without a word. "Thought you'd want to see it before they move him." "Who found him?" "Urban explorers. Two lads with a drone and a YouTube channel. They came in through a vent shaft off Chalk Farm Road around six this morning. One of them's still being sick in the tunnel." Quinn zipped the suit to her throat. Her cropped hair, more salt than pepper now, disappeared under the hood. She checked her watch, the old leather strap creased to the shape of her wrist. It was ten past nine. She had been awake for twenty-six hours, and the fatigue felt like a fine grit behind her eyes. The body lay at the platform's far end, beneath a faded map of a network that no longer matched the city above it. A man in his fifties, heavyset, in a good wool coat. He lay on his back with his arms flung wide, and the angle of his neck told her the rest before she got close enough to see the blood. "Marcus Tull," Adeyemi said. "Antiques dealer, Islington. Wife reported him missing yesterday afternoon. Wallet's still on him, watch, rings, all of it. So it's not robbery." "And your read?" Adeyemi hesitated. He was a careful young man, four years in the job, and he had learned to test the air before he offered her an opinion. "Fall, ma'am. There's a maintenance gantry above the tunnel mouth, about fifteen feet up. Rotted through in places. He goes up there for whatever reason, the boards give, he lands badly on the platform edge." He gestured at the pooled blood beneath the skull. "Injuries fit. Head trauma, cervical fracture. Could be misadventure. Could be he was meeting someone down here who left him." "Could be," Quinn said. She did not crouch yet. She stood at the edge of the lamplight and let her eyes travel the way they had been trained to, slowly, from the periphery inward. In eighteen years she had learned that a scene lied most in the places nobody thought to look. The floor first. A century of grime lay on the platform, thick as felt. It should have held every step like a plaster cast. She could see the forensic team's paths, the yellow evidence markers, the ragged scuffs left by the two explorers. Beyond those, nothing. The dust between the stairs and the body lay smooth as a sheet of grey snow. "Adeyemi. How did he get here?" "Walked, presumably. Same way we did." "Show me his footprints." He opened his mouth, closed it, and looked down. She watched the small, unhappy calculation cross his face. "The explorers may have trampled..." "They came in from the vent, at the other end. The stairs are where we came in." She swept the torch in a slow arc. "So where did Marcus Tull walk in? Where did he walk anywhere?" "Perhaps the team's disturbed—" "The team has been careful. I've worked with Okonkwo for nine years. She doesn't trample." Quinn finally stepped forward, keeping to the plates laid down for her, and crouched at the dead man's shoulder. "Look at his shoes." Adeyemi bent beside her. The dealer's brogues were polished to a shine, the soles clean, with no grit in the welts and none of that grey felt clinging to them. Whatever this man had walked on last, it wasn't this floor. "He could have been carried," Adeyemi offered, more slowly now. "Dumped." "Then whoever carried him left no mark either. And he'd have been dropped from a height, if your gantry theory holds, and it doesn't." She pointed the torch straight up. The ceiling arched overhead in soot-blackened tile, and the gantry Adeyemi had mentioned lay well back in the tunnel mouth, thirty feet from where the body sat. "If he fell from there, he'd have landed by the tracks. He's a hundred and eighty pounds of dead weight, Sergeant. He didn't bounce thirty feet." Adeyemi was quiet. Then, with more courage than she'd expected: "Unless the blood's telling us something the position isn't. There's a lot of it, ma'am. It's consistent with a fall. Maybe he crawled, after." "With a broken neck." "Then maybe the neck was broken by the landing and we've got the wrong—" He stopped himself. "I don't know. I'm trying to find the version where it makes sense." "That's an honest answer." She let a little warmth into it. "Keep looking for it. But don't bend the evidence to fit it." She turned back to the body and examined the hands. The right lay open, palm up. The left was curled shut. She eased the fingers apart with a gloved thumb, and something small and pale dropped into her palm. A disc of bone, no bigger than a two-pence piece, worn smooth with handling. One face was scored with a spiral of tiny notches. It was warm, warmer than a thing left in a cold hand for twelve hours had any right to be. "Token of some kind," Adeyemi said. "Casino chip? Gaming piece?" Quinn said nothing. Her thumb moved over the spiral, and something cold and old shifted at the back of her mind, a name she had spent three years refusing to say. DS Morris had died in a place like this. She had never been able to explain how. She set the token in an evidence bag and sealed it. When she looked down again, she saw what she had missed: a corner of brass showing at the lip of the man's coat pocket. She drew it out. A compass, small enough to sit in the hollow of her hand, its casing gone green with verdigris. Fine sigils were etched around the face in a script she did not recognise. She flipped the lid. The needle was not pointing north. It quivered, then swung with slow deliberation toward the tiled wall at the platform's end, where a poster for a long-defunct West End musical peeled from the brick. It held there, trembling like a hound on a scent. "That's odd," Adeyemi said. "Magnetic interference, from the tunnel?" Quinn walked three paces to her left. The needle followed, sliding smoothly around the dial. She walked four paces back, and it tracked her again, then settled on the wall. Not on north, not on her. On the poster. "Ma'am?" "Get Okonkwo over here. I want that wall photographed, then I want it swabbed and checked for seams." She kept her voice level. Her pulse had begun to knock against the leather of her watch strap. "And someone find out what was in this station before the Tube closed it. Who leased it, who owned it. Who's been using it since." "You think there's a room behind there." "I think the man didn't fall. I think he walked out of somewhere, and I think someone made sure he died here where we'd find him." She closed the compass, and the needle's tremor went on beneath her fingers a moment longer, like a pulse. "And I think this place was very busy last night." Something else had caught her eye as she straightened. Tucked into the dead man's breast pocket, half hidden under the lapel, was a slip of paper. She teased it free with two fingers. A library call slip, printed with a crest she knew well: the British Museum. Under *Reader* someone had written, in a neat and slightly nervous hand, a name. *E. Kowalski.* Quinn read it twice. Then she folded the slip into a second bag, put it in her inside pocket, and did not mention it to Adeyemi. Not yet.
created_at"2026-09-29T07:52:19.3Z" 9/29/2026, 7:52:19 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4030
moderation_latency(null)
generation_time36398
tokens_prompt896
tokens_completion2259
native_tokens_prompt1287
native_tokens_completion3449
native_tokens_completion_images(null)
native_tokens_reasoning806
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"
usage0.037064
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668339-sSfzzjMz76ey1JIPmS8k"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668339-A3pdaQjybCKp73oaqo8a"
upstream_id"msg_011CfXNHKYbSjvXWhmr4dwsh"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNHKYbSjvXWhmr4dwsh"
is_byokfalse
latency868
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.037064
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
totalTags15
adverbTagCount1
adverbTags
0"Adeyemi offered more [more]"
dialogueSentences39
tagDensity0.385
leniency0.769
rawRatio0.067
effectiveRatio0.051
85.42% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1372
totalAiIsmAdverbs4
found
0
adverb"slowly"
count2
1
adverb"very"
count1
2
adverb"slightly"
count1
highlights
0"slowly"
1"very"
2"slightly"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Marcus"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
74.49% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1372
totalAiIsms7
found
0
word"weight"
count1
1
word"warmth"
count1
2
word"etched"
count1
3
word"quivered"
count1
4
word"magnetic"
count1
5
word"pulse"
count2
highlights
0"weight"
1"warmth"
2"etched"
3"quivered"
4"magnetic"
5"pulse"
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
narrationSentences82
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences82
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
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords3
totalWords1372
ratio0.002
matches
0"Reader"
1"E. Kowalski."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount937
uniqueNames10
maxNameDensity1.07
worstName"Adeyemi"
maxWindowNameDensity2.5
worstWindowName"Adeyemi"
discoveredNames
Tube1
Camden1
Harlow1
Quinn7
Adeyemi10
Morris1
West1
End1
British1
Museum1
persons
0"Harlow"
1"Quinn"
2"Adeyemi"
3"Morris"
places
0"West"
1"End"
globalScore0.966
windowScore0.833
65.25% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount2
matches
0"smelled like it"
1"felt like a fine grit behind her eyes"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1372
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences106
matches
0"learned that a"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs43
mean31.91
std24.29
cv0.761
sampleLengths
079
134
23
335
457
563
626
73
891
94
1048
1162
126
136
144
1523
1637
174
1838
1941
2011
2183
2234
234
2430
2523
2639
2744
2810
2948
3035
3140
3244
339
3439
351
3661
377
3855
3961
402
4126
422
83.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences82
matches
0"been trained"
1"were polished"
2"was curled"
3"was scored"
4"were etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs147
matches
0"was not pointing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences106
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount941
adjectiveStacks1
stackExamples
0"right lay open, palm"
adverbCount27
adverbRatio0.028692879914984058
lyAdverbCount6
lyAdverbRatio0.006376195536663124
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
mean12.94
std9.65
cv0.746
sampleLengths
015
113
226
325
411
513
610
73
835
97
1012
1115
125
1318
1423
1511
1629
174
1822
193
202
2125
2244
2320
244
255
2625
2718
283
2911
3010
3119
323
3316
346
356
364
379
389
395
4025
4112
424
4334
444
454
4626
4711
4810
491
79.56% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5
totalSentences106
uniqueOpeners53
90.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences74
matches
0"Then, with more courage than"
1"Then she folded the slip"
ratio0.027
41.62% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences74
matches
0"He held out a second"
1"Her cropped hair, more salt"
2"She checked her watch, the"
3"It was ten past nine."
4"She had been awake for"
5"He lay on his back"
6"He was a careful young"
7"He gestured at the pooled"
8"She did not crouch yet."
9"She stood at the edge"
10"It should have held every"
11"She could see the forensic"
12"He opened his mouth, closed"
13"She watched the small, unhappy"
14"She swept the torch in"
15"She pointed the torch straight"
16"He stopped himself"
17"She let a little warmth"
18"She turned back to the"
19"She eased the fingers apart"
ratio0.446
47.84% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences74
matches
0"The Tube station at Camden"
1"Detective Harlow Quinn descended the"
2"DS Adeyemi met her at"
3"He held out a second"
4"Quinn zipped the suit to"
5"Her cropped hair, more salt"
6"She checked her watch, the"
7"It was ten past nine."
8"She had been awake for"
9"The body lay at the"
10"A man in his fifties,"
11"He lay on his back"
12"He was a careful young"
13"He gestured at the pooled"
14"She did not crouch yet."
15"She stood at the edge"
16"The floor first."
17"A century of grime lay"
18"It should have held every"
19"She could see the forensic"
ratio0.824
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences74
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount1
matches
0"Damp brick, old rust, the sour breath of tunnels that had forgotten trains."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences39
tagDensity0.103
leniency0.205
rawRatio0
effectiveRatio0
87.5159%