Run: 2026-09-23-01M37PTB92TAKS95MS7V3QAQN9

Run Details

Duration:
1m 2s
Cost:
$0.089488
Provider:
Claude Platform on AWS

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The lift at Camden Town had been dead since 1987, so Quinn took the emergency stairs. One hundred and nine steps, iron treads worn to a shine in the middle, each one ringing under her boots like a struck pan. The air thickened as she went down. It tasted of rust and cold pennies, and underneath that sat something sweeter she couldn't place. A uniformed constable waited at the bottom, clipboard pressed flat to his chest like a shield. "Ma'am. DS Aldridge is on the platform. Mind the third tile from the arch, it's loose." She minded it. The passage beyond had been bricked off from the live network decades ago, and the arc lights the SOCOs had rigged threw everything into hard relief: cream tiles gone the colour of old teeth, a faded roundel reading SOUTH C MDEN, a bench with one leg snapped and propped on a Pepsi can. Cables snaked across the floor to a humming generator. Two technicians in white suits knelt near the platform edge, murmuring over a sample tray. The body lay about four metres from the tunnel mouth. A man in his sixties, grey beard, a waxed jacket buttoned to the throat. He rested on his back with his hands folded over his stomach, composed as a knight on a tomb. DS Tom Aldridge peeled himself off the far wall. He had a paper cup of coffee in each hand and offered her one. "Figured you'd want it. Kettle's forty minutes away." "Who found him?" "Network Rail engineer. Bloke called Dennis Obi. Came down to check the drainage pump at half five, saw the torch beam catch a shoe, nearly swallowed his tongue." Aldridge nodded toward the tunnel. "There's a maintenance grate up on Pratt Street. Padlock's been cut. My money's on our friend here getting in that way, bedding down out of the wind, and not waking up. Hypothermia, or he'd taken something. Probably both." Quinn sipped the coffee. Burnt, but hot. "Name?" "No wallet, no phone. We're running prints." She handed the cup back to him and crouched beside the dead man. The generator's drone pressed against her eardrums. Up close, the beard had been trimmed, the edges crisp, a barber's work rather than a pair of kitchen scissors in a hostel mirror. His fingernails were short and clean. A faint indentation ringed the third finger of his left hand, pale against the weathered skin. "Rough sleepers don't get a wet shave, Tom." "Some do. Charities run clinics." "And his shoes?" Aldridge came closer, frowning. The shoes were brown brogues, the leather glossy, the soles barely scuffed. Quinn lifted one heel with a gloved finger. The tread was clean. Not a speck of grit in the grooves. "He walked down a drainage tunnel from Pratt Street," she said. "Half a mile of standing water and pigeon muck. And he arrived like this." "Maybe he changed. Carried a spare pair." "Where's the dirty pair?" Aldridge opened his mouth, shut it, and looked toward the tunnel as though it might answer for him. Quinn stood and let her gaze travel outward from the body. The platform floor wore a fur of grey dust, thick enough to hold a fingerprint. Around the dead man it lay smooth and unbroken. The only disturbance ran in a single line from the passage arch: heavy boot prints, the engineer's, stopping two metres short and doubling back in a panicked scuff where he'd turned and run. "Show me Obi's route in." "Same as ours. Down the stairs." "Then where are this man's footprints?" The nearer technician looked up from her tray. She had a smear of something dark on her visor. "We noticed that, Detective. We assumed he came from the tunnel side and the draught settled the dust over his tracks." "In what, six hours? Eight?" Quinn checked the worn leather watch on her left wrist. Twenty past seven. "What does the pathologist say about time of death?" "Rough guess, between one and three." "There's no draught." Quinn held up her hand, palm flat. The air sat against her skin like still water. "Feel that. Nothing's moved down here since they bricked it up." Aldridge set both coffees on the broken bench. "So someone carried him. Laid him out. Brushed the dust back over." "With what? A pastry brush?" She walked a slow circle around the body, keeping to the engineer's trail where she could. "You'd see the strokes. You'd see where they knelt. This isn't swept. It's settled." "Harlow, it's a dead old man in a disused station. Occam's razor." "Occam never had to explain clean shoes to a coroner." She moved away from the body and toward the centre of the platform, where the arc lights didn't reach so well. Aldridge followed with his torch. The beam slid over the tiles and snagged on something white. Wax. A fat drip of it, hardened into a coin on the floor. Then another, a hand's width along. Then another. Quinn took the torch from him and swept it wide. The drips ran in a straight row the length of the platform, and a second row ran parallel a pace behind it, as if someone had set out a line of candles and then a second line, and let them burn down. "Kids," Aldridge offered. "Séance. Urban explorers. They post this stuff online." "Kids leave crisp packets." She tilted the beam lower. "Look at the dust between the rows." He looked. Between the lines of wax, the grey coat lay thinner in long rectangles, each about two metres by one, their edges faint but true. Dozens of them. They marched down the platform in a neat procession toward the far arch, like the ghost of a car park. "Something stood there," Quinn said. "Tables. Trestles. Heavy enough to press the floor, gone long enough for the dust to start creeping back." "How long's long enough?" "Weeks. A month, maybe." She crouched at the nearest rectangle and ran her thumb along its edge. A bead of something glinted in the grout. She worked it free with the tip of a biro. A sliver of bone, polished and drilled through the middle, no bigger than her little fingernail. Aldridge bent over her shoulder. "That's a button." "There's no thread hole. One hole. Dead centre." She turned it under the torch. Tiny marks had been scratched around the rim, too regular to be wear. "It's a token." "For what?" She didn't answer. She was looking back at the body, and at the man's folded hands, and at the slight bulge beneath his right palm that she'd taken for a fold in the waxed cotton. "Has anyone moved his hands?" The technician shook her head. "Photographed in situ. Waiting on the pathologist before we lift." "Photograph them again. Then lift the right one. Slowly." The technician glanced at Aldridge, who shrugged. She took her pictures, three angles, the flash strobing the tiles, and then eased the dead man's fingers open. A small brass compass lay in his palm. The casing had gone green at the hinges, a crust of verdigris like lichen on a gravestone. Fine lines had been etched into the face in a ring around the dial. Not numbers. Not the letters of the four directions. Loops and hooks and crossed strokes that made Quinn's eyes want to slide off them. "Bag it," Aldridge said. "Wait." The needle was moving. Not the nervous tremble of a cheap compass settling. It swung in a slow, deliberate arc, as if tasting the air, and then it stopped. Quinn pulled out her phone and opened the compass app. North lay behind her, up the stairs, toward the street. The brass needle pointed nowhere near it. It pointed across the tracks, at the far wall of the tunnel, where a patch of newer brickwork had been mortared into the curve of the old tiles. She shifted a step to her left. The needle held its line. She stepped right. It held. "Magnets," Aldridge said. "The rails. The generator. Anything." "The rails run east-west. The generator's behind us." She let the technician take the compass and seal it in a bag, and she watched the needle through the plastic. It never wavered from the brickwork. "It's not reacting to anything down here. It's pointing at something." "At a wall." "At that wall." Quinn dropped from the platform edge onto the track bed. Gravel crunched under her boots. The tunnel breathed colder here, and she noticed that too, because a moment ago there had been no air moving at all. She crossed the rails and stopped in front of the patch of brick. Up close, the mortar looked wrong, too dark along one seam, and when she held her bare hand against the joint a thread of chill drew across her knuckles, steady as a pulse. She pressed her ear to the brick. Nothing. Only the generator, and her own heartbeat. "Tom." "Yeah?" "Get me the drawings for this station. The originals, not the Network Rail survey. Whatever sat behind this wall when it was built." She stepped back and studied the seam. "And get someone to swab every drop of that wax. I want to know what it's made from, and I want to know how many different candles we're looking at." Aldridge was already pulling out his phone. He hesitated, thumb above the screen. "You think he wasn't alone down here." "I think half of London was down here." She turned and looked up at the empty platform, at the long ghost-rows of tables and the patient lines of wax. "And none of them used the stairs."
created_at"2026-09-23T18:00:33.841Z" 9/23/2026, 6:00:33 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4337
moderation_latency(null)
generation_time62430
tokens_prompt1112
tokens_completion2757
native_tokens_prompt1597
native_tokens_completion4155
native_tokens_completion_images(null)
native_tokens_reasoning948
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"
usage0.089488
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790186433-9qFVpIR6vWBfBR82KOoN"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790186433-KIokcfdP5wHD2ELyRzNo"
upstream_id"msg_011CfLop16KLHhq4Fu7jHHgS"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLop16KLHhq4Fu7jHHgS"
is_byokfalse
latency1412
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.089488
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"She stepped back [back]"
dialogueSentences58
tagDensity0.259
leniency0.517
rawRatio0.067
effectiveRatio0.034
96.90% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1613
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"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)
84.50% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1613
totalAiIsms5
found
0
word"stomach"
count1
1
word"etched"
count1
2
word"wavered"
count1
3
word"chill"
count1
4
word"pulse"
count1
highlights
0"stomach"
1"etched"
2"wavered"
3"chill"
4"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
narrationSentences102
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences102
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences145
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen53
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1613
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
97.23% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount1137
uniqueNames8
maxNameDensity1.06
worstName"Aldridge"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden1
Town1
Quinn11
Pepsi1
Tom1
Aldridge12
Twenty1
Tiny1
persons
0"Quinn"
1"Pepsi"
2"Tom"
3"Aldridge"
4"Tiny"
places
0"Camden"
1"Town"
globalScore0.972
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences74
glossingSentenceCount1
matches
0"as if tasting the air, and then it stopped"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1613
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences145
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs70
mean23.04
std22.44
cv0.974
sampleLengths
063
116
216
380
443
523
68
73
871
97
101
117
1266
138
145
153
1636
1725
187
194
2018
2168
225
236
246
2518
2621
2727
286
2930
308
3112
3235
3312
3410
3537
3673
3711
3816
3949
4023
414
4251
435
443
4530
462
4735
485
4915
88.06% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences102
matches
0"been bricked"
1"been trimmed"
2"been scratched"
3"been etched"
4"been mortared"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs177
matches
0"was looking"
1"was already pulling"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences145
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1138
adjectiveStacks1
stackExamples
0"North lay behind her,"
adverbCount21
adverbRatio0.01845342706502636
lyAdverbCount3
lyAdverbRatio0.0026362038664323375
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences145
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences145
mean11.12
std9
cv0.809
sampleLengths
016
124
27
316
416
516
63
753
89
915
1010
1114
1219
139
1414
158
163
1733
1838
194
203
211
227
2313
247
2524
266
2716
288
295
303
314
3212
338
344
358
3611
3714
387
394
4018
4111
4215
439
4433
455
466
476
488
4910
79.77% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.503448275862069
totalSentences145
uniqueOpeners73
73.26% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences91
matches
0"Then another, a hand's width"
1"Only the generator, and her"
ratio0.022
96.92% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences91
matches
0"It tasted of rust and"
1"She minded it."
2"He rested on his back"
3"He had a paper cup"
4"She handed the cup back"
5"His fingernails were short and"
6"She had a smear of"
7"She walked a slow circle"
8"She moved away from the"
9"She tilted the beam lower"
10"They marched down the platform"
11"She crouched at the nearest"
12"She worked it free with"
13"She turned it under the"
14"She didn't answer."
15"She was looking back at"
16"She took her pictures, three"
17"It swung in a slow,"
18"It pointed across the tracks,"
19"She shifted a step to"
ratio0.308
47.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences91
matches
0"The lift at Camden Town"
1"The air thickened as she"
2"It tasted of rust and"
3"A uniformed constable waited at"
4"She minded it."
5"The passage beyond had been"
6"Cables snaked across the floor"
7"The body lay about four"
8"A man in his sixties,"
9"He rested on his back"
10"DS Tom Aldridge peeled himself"
11"He had a paper cup"
12"Aldridge nodded toward the tunnel"
13"Quinn sipped the coffee."
14"She handed the cup back"
15"The generator's drone pressed against"
16"His fingernails were short and"
17"A faint indentation ringed the"
18"Aldridge came closer, frowning."
19"The shoes were brown brogues,"
ratio0.824
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences91
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount1
matches
0"It swung in a slow, deliberate arc, as if tasting the air, and then it stopped."
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)
dialogueSentences58
tagDensity0.069
leniency0.138
rawRatio0
effectiveRatio0
91.9520%