Run: 2026-09-29-01M3P2H035SE2AVX4NJWTPCGTN

Run Details

Duration:
34.4s
Cost:
$0.035204
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 stairwell smelled of wet brick and old pennies. Quinn counted the steps on the way down, as she always did. One hundred and six. Somewhere past ninety the mobile signal died, and the torchlight from the uniforms below turned the tiled walls the yellow of old teeth. A constable held the tape up for her. Beyond it, the platform opened out under a vaulted ceiling, its curved tiles still stamped with the ghost of a station name that decades of soot had eaten down to three letters. "Guv." DS Okafor stood at the platform edge with his coat buttoned to the throat and a takeaway coffee he must have carried down from street level. He raised it in greeting. "Sorry about the hour. I'd have called someone else, but the Super wants this one tidy by breakfast." "Tidy." Quinn ran her torch along the floor. "Tell me about tidy." "Male, fifties, no ID. Dropped off the platform edge onto the track bed. Neck's broken, so the fall did it. Half a bottle of something brown in his coat and the smell to match. A rough sleeper who wandered past the hoarding and lost his footing." He shrugged. "Sad, but simple." "Who found him?" "Network Rail contractor doing a survey. He's upstairs with a blanket and a flask." Quinn walked to the edge and looked down. The man lay on his back between the rails, one arm flung wide, his face turned toward the tunnel mouth as though someone had called his name from the dark. His coat was a good one. Wool, and a decent cut. She crouched, and the leather strap of her watch creaked against her wrist. "When did you last see a rough sleeper in a coat like that?" "Charity shops get generous." "They do." She tilted the torch. "Where's the blood?" Okafor frowned and peered over. "Head wounds bleed, sure, but a broken neck can be clean. Internal." "His nose is intact. His lip isn't split. Nothing on the ballast under him." She swept the beam wider. "He fell six feet onto iron and gravel and didn't mark either." "Guv, people fall strangely." "They do. They also scrape their palms." She pointed. "Look at his hands." Okafor squinted. "Clean." "Clean as a surgeon's. No grit in the creases, no dirt under the nails. A man who sleeps rough in a Camden tunnel." She stood, and her knees popped. "Come up here. Walk with me." She led him along the platform, keeping to the wall. The dust lay thick across the concrete, grey and fine as flour, and it held the marks of the night like a photographic plate. Boot prints from the first responders. The paramedic's kneeling scuffs. The contractor's trainers, which had a distinctive chevron sole. "Here." She stopped. "What do you see?" "Dust." "Look where it stops." Okafor stared. Then he crouched beside her, and his coffee sloshed on the lid. "It's… squared off." "In a line. And there, a second line, running parallel four metres on." She traced a rectangle in the air with her torch. "Something sat here. Something with a flat base, wide as a market stall. The dust under it is undisturbed. Everywhere around it, someone has walked through it a thousand times." "A survey team's kit, maybe. Trestle tables." "The contractor's report says he was alone. And that he came in through the east hoarding at half past four." She moved the beam down the platform. Six more rectangles, then eight, then a dozen, laid out in ragged rows. "That's not a survey. That's a fair." Okafor stood and turned a full circle. Some of the certainty had gone out of his shoulders. "Squatters, then. A rave. Somebody trading dodgy gear down here, and our man wandered into the wrong crowd." "Then where's the litter?" He opened his mouth and shut it again. "Ravers leave cans, glow sticks, foil. Dealers leave wraps and burnt spoons. This place has been swept, Okafor. Somebody took a stiff broom to the whole platform after the crowd left." She pointed at the far end, where the dust lay in faint, curved arcs. "You can see the bristle marks." "So they cleaned up. And missed a body?" "No. They didn't miss him." She walked back to the edge and looked down at the dead man's face. "They left him." "Why would anyone sweep a platform and leave a corpse?" "That's the question that keeps me interested." She dropped into a crouch again, angled her torch at his coat, and nodded to the paramedic hovering near the tape. "Can we turn him? Just the shoulder." The paramedic climbed down with a grunt and eased the body onto its side. Something slid from the man's sleeve and rang against the rail. Quinn reached for it with a gloved hand. A compass. Small, brass, the casing crusted green along its seams. She turned it in the torchlight. Symbols crawled around the face, fine as etched hair, and none of them belonged to any alphabet she knew. "Souvenir," Okafor offered. "Antique shop find." "Watch the needle." It didn't point north. It didn't settle at all. It shivered against its pin and swung, slow and stubborn, until it locked on the wall behind them, at the blank tiled stretch where a doorway might once have led to the lifts. Quinn took two steps left. The needle followed. Two steps right, and it followed again, quivering like a dog on a scent. "Magnetic interference," Okafor said. "Rails. Cables." "Then it would spin. It's aimed." She held the compass flat on her palm and walked toward the wall. The closer she got, the harder the needle strained, until the brass grew warm through her glove. She stopped an arm's length from the tiles and studied them. The grout was clean. Everywhere else on this platform, grime had settled into every seam, but along a rectangle the height of a man, the joins were bright. "Someone's been through here," she said. "Often." Okafor joined her. He laid his palm against the tile, then jerked it back. "Cold." "Colder than the rest?" "Much." He wiped his hand on his coat. "Guv, it's a wall." "It's a wall that has a better cleaning regime than my flat." She turned back to the body and its clean hands, its unbroken skin, its face pointed at the tunnel. "Your rough sleeper didn't fall. Nobody falls without a mark on them. He was carried down here, laid out on those rails after the stalls were packed away, and left with a compass in his sleeve." "Carried by who?" "By people who wanted him found." She closed her fist around the brass. "Or people who wanted us looking at the track bed and not at the wall." Okafor said nothing for a moment. Water ticked somewhere in the dark. Then he set his coffee on the platform edge, took out his notebook, and began to write. "Photograph the dust," Quinn told the constable. "Every rectangle. Then the wall, and the grout. Nobody touches that tile until I say."
created_at"2026-09-29T07:54:32.429Z" 9/29/2026, 7:54:32 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3610
moderation_latency(null)
generation_time34376
tokens_prompt1112
tokens_completion2023
native_tokens_prompt1597
native_tokens_completion3201
native_tokens_completion_images(null)
native_tokens_reasoning844
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"
usage0.035204
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668472-GcL1oL6lh4oMcYuvOJmM"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668472-YEx5ugQWqi2LwLEn68q0"
upstream_id"msg_011CfXNT8nicLeiichiUbttd"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNT8nicLeiichiUbttd"
is_byokfalse
latency711
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.035204
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
totalTags21
adverbTagCount2
adverbTags
0"She walked back [back]"
1"She turned back [back]"
dialogueSentences60
tagDensity0.35
leniency0.7
rawRatio0.095
effectiveRatio0.067
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1181
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
87.30% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1181
totalAiIsms3
found
0
word"traced"
count1
1
word"etched"
count1
2
word"magnetic"
count1
highlights
0"traced"
1"etched"
2"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
narrationSentences68
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences68
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences107
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
totalWords1181
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions16
wordCount675
uniqueNames3
maxNameDensity1.33
worstName"Okafor"
maxWindowNameDensity2
worstWindowName"Okafor"
discoveredNames
Okafor9
Quinn6
Six1
persons
0"Okafor"
1"Quinn"
2"Six"
places(empty)
globalScore0.833
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1181
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences107
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean23.62
std19.81
cv0.839
sampleLengths
048
140
250
312
451
53
614
762
813
94
109
1117
1231
134
1413
153
1635
1753
187
191
204
2117
2253
237
2447
2535
264
278
2851
298
3022
3110
3235
3333
3436
356
363
3742
3822
396
4075
417
4215
434
4412
4567
463
4728
4829
4922
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences68
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs114
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences107
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount675
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.02962962962962963
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences107
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences107
mean11.04
std9.76
cv0.884
sampleLengths
09
112
24
323
48
532
627
75
818
98
104
1148
123
133
1414
158
1630
176
185
1913
2013
214
226
233
245
2512
2619
2712
284
299
304
312
321
3329
346
3510
3624
376
384
399
403
414
421
434
442
4512
463
4723
4830
497
96.26% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.616822429906542
totalSentences107
uniqueOpeners66
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences59
matches
0"Somewhere past ninety the mobile"
1"Then he crouched beside her,"
2"Everywhere else on this platform,"
3"Then he set his coffee"
ratio0.068
64.07% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences59
matches
0"He raised it in greeting."
1"His coat was a good"
2"She crouched, and the leather"
3"She tilted the torch"
4"She swept the beam wider"
5"She stood, and her knees"
6"She led him along the"
7"She traced a rectangle in"
8"She moved the beam down"
9"He opened his mouth and"
10"She pointed at the far"
11"She walked back to the"
12"She dropped into a crouch"
13"She turned it in the"
14"It didn't point north."
15"It didn't settle at all."
16"It shivered against its pin"
17"She held the compass flat"
18"She stopped an arm's length"
19"He laid his palm against"
ratio0.39
44.75% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences59
matches
0"The stairwell smelled of wet"
1"Quinn counted the steps on"
2"A constable held the tape"
3"DS Okafor stood at the"
4"He raised it in greeting."
5"Quinn ran her torch along"
6"Quinn walked to the edge"
7"The man lay on his"
8"His coat was a good"
9"Wool, and a decent cut."
10"She crouched, and the leather"
11"She tilted the torch"
12"Okafor frowned and peered over."
13"She swept the beam wider"
14"She stood, and her knees"
15"She led him along the"
16"The dust lay thick across"
17"The paramedic's kneeling scuffs."
18"The contractor's trainers, which had"
19"She traced a rectangle in"
ratio0.831
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences59
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount1
matches
0"The man lay on his back between the rails, one arm flung wide, his face turned toward the tunnel mouth as though someone had called his name from the dark."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags21
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences60
tagDensity0.05
leniency0.1
rawRatio0
effectiveRatio0
92.5236%