Run: 2026-10-08-01M4DAAP294E604ECNXPDH9Z8D

Run Details

Duration:
15.7s
Cost:
$0.001325
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 disused platform beneath Camden Town smelled of wet brick and something sweeter underneath, like lilies left too long in a vase. Harlow Quinn stopped at the bottom of the iron stairs and let her eyes adjust. Somewhere up the tunnel, water dripped in a slow, patient rhythm. "Ma'am." Sergeant Dev Raman came down the last steps two at a time, his torch swinging. He was twenty-nine, eager, and still believed that every case had a tidy shape if you looked hard enough. "Sorry. Took us a while to find the access. The gate's been chained since 1987, but someone's cut the padlock and replaced it with a new one. Same brand, though. Same batch, possibly." "Show me the body before you show me the padlock." He led her along the platform. The tiles were cracked and furred with white mineral deposits, and the advertisements on the far wall had faded to the colour of weak tea. A cordon of blue tape had been strung between two pillars. Beyond it, a young woman lay on her back at the platform's edge, one arm stretched toward the tracks as though she had been reaching for a train that would never arrive. Quinn crouched at the tape without crossing it. Late twenties, dark coat, hair fanned in the grime. No visible bruising on the face. Her eyes were open, clouded over. "Name?" "Lydia Hart. Twenty-eight. Works in a gallery in Hoxton. Her flatmate reported her missing yesterday morning." Dev flipped his notebook open. "Cause of death looks like a fall. Her neck's at an angle that doesn't make sense if she was standing up. The working theory is she came down here alone, probably on something, tripped near the edge, and hit the pillar on the way down." "Probably," Quinn said. "Ma'am?" "Nothing." She kept looking. "Where's the wound on the pillar?" Dev hesitated. "There's a mark on the base. Chipped stone. It fits." "Does it?" Quinn rose and stepped carefully along the edge of the tape, keeping her boots in the clean strip of tile. She looked down at the track bed, at the dust that lay thick between the rails, grey and undisturbed. Then she looked at the woman's shoes. Ankle boots, good leather, the soles nearly spotless. "Sergeant, if she walked down that tunnel from the Camden end, where's the dust on her soles?" "She might have come in from the platform side." "Then why are the dust marks on the platform so light?" Quinn moved her torch slowly across the tiles. "Someone walked here. Two sets of prints, both going toward the body, neither coming back. But they're dry, and the rest of this floor is wet from that leak in the ceiling. Those prints are older than the water." "Older than the leak? That's not possible, ma'am, the leak's been running for years." "Which is why I'm telling you the prints are older than the leak. Not that they're impossible." She pointed. "And there's no disturbance around her hand. If she fell and grabbed for something, we'd see scraping on the tiles. There's none." Dev crouched beside her, shining his torch where she indicated. He said nothing for a long moment. Then: "Could be she was already dead when she came down." "Could be. Or she was never standing up at all." Quinn looked at the woman's left wrist. Thin silver bracelet, no watch. Then at the right. A small wristwatch, cheap, its face cracked. The hands had stopped at 2:14. "Did anyone check the time on the watch?" "Not yet. The lab will." "It's stopped at a quarter past two. Her flatmate reported her missing yesterday at nine in the morning. Check whether the station was even open last night, and whether anyone's ever found this platform accessible by foot since the closure. I want the padlock logged before anyone touches it again." Dev was writing quickly. "You think someone brought her here." "I think someone wanted this to look like she came here alone." Quinn's attention drifted to the pillar, where the chipped stone sat beneath a smear of something pale. She crouched lower. Pressed into the grime at the base was a shape, a thin ring of marks like the ghost of a circle, with a line running through it. She had seen that shape before. Three years ago, in a flat in Kennington, scratched into the underside of a kitchen table with a blade that had not belonged to anyone in the room. Her chest tightened. She kept her face still. "Sergeant," she said, keeping her voice level, "bag the pillar. The base especially. Don't clean it." "Ma'am, the superintendent—" "Will want a clean answer by Friday, and he'll get one. But not before we know what that mark is." She stood, knees cracking in the cold. "Also. The woman's right hand. What's in it?" Dev bent over the body and carefully lifted the fingers with the tip of his pen. Something small and pale rolled across the tile and caught the torchlight. A flat disc of bone, carved with the same thin circle and line, threaded through a hole at one edge with a fraying length of black cord. Quinn looked at it for a long time. Then she turned, slowly, toward the dark mouth of the tunnel, where the water kept dripping and the air had gone still. "Keep that where it is," she said. "And Dev, go get the lab team. And tell them to bring a compass."
created_at"2026-10-08T08:33:26.1Z" 10/8/2026, 8:33:26 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency15696
moderation_latency(null)
generation_time15696
tokens_prompt896
tokens_completion1307
native_tokens_prompt1287
native_tokens_completion2393
native_tokens_completion_images(null)
native_tokens_reasoning600
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"
usage0.0013252
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448406-c1y32ZuuWe2y5OHeH1ft"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448406-6js9x4M9u5t0zis5vviQ"
upstream_id"msg_011CfpThQfV2tqLnHa1VpKJv"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpThQfV2tqLnHa1VpKJv"
is_byokfalse
latency732
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0013252
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences32
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
72.77% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount918
totalAiIsmAdverbs5
found
0
adverb"carefully"
count2
1
adverb"slowly"
count2
2
adverb"quickly"
count1
highlights
0"carefully"
1"slowly"
2"quickly"
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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount918
totalAiIsms0
found(empty)
highlights(empty)
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
narrationSentences47
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences47
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences66
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen50
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords918
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount501
uniqueNames7
maxNameDensity1.6
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Camden1
Town1
Quinn8
Dev6
Raman1
Thin1
Kennington1
persons
0"Quinn"
1"Dev"
2"Raman"
places
0"Camden"
1"Town"
globalScore0.702
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences34
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount918
matches(empty)
65.66% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences66
matches
0"believed that every"
1"seen that shape"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean30.6
std25.03
cv0.818
sampleLengths
048
168
210
374
429
51
666
73
81
910
1012
1156
1217
139
1458
1514
1641
1728
1847
195
2050
2110
2293
238
2416
253
2635
2755
2830
2921
97.80% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences47
matches
0"were cracked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs74
matches
0"was writing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences66
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount502
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.029880478087649404
lyAdverbCount6
lyAdverbRatio0.01195219123505976
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences66
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences66
mean13.91
std10.67
cv0.767
sampleLengths
022
115
211
316
419
533
610
76
825
911
1032
118
129
136
146
151
1621
1745
183
191
204
216
222
2310
2422
2519
267
278
2817
299
3019
3139
3214
3319
3422
3510
367
3711
3817
395
404
417
426
438
445
4550
464
476
4829
493
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.6515151515151515
totalSentences66
uniqueOpeners43
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences42
matches
0"Somewhere up the tunnel, water"
1"Then she looked at the"
2"Then at the right."
3"Then she turned, slowly, toward"
ratio0.095
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences42
matches
0"He was twenty-nine, eager, and"
1"He led her along the"
2"Her eyes were open, clouded"
3"She kept looking"
4"She looked down at the"
5"He said nothing for a"
6"She crouched lower."
7"She had seen that shape"
8"Her chest tightened."
9"She kept her face still."
10"she said, keeping her voice"
11"She stood, knees cracking in"
ratio0.286
79.05% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount32
totalSentences42
matches
0"The disused platform beneath Camden"
1"Harlow Quinn stopped at the"
2"Sergeant Dev Raman came down"
3"He was twenty-nine, eager, and"
4"He led her along the"
5"The tiles were cracked and"
6"A cordon of blue tape"
7"Quinn crouched at the tape"
8"Her eyes were open, clouded"
9"Dev flipped his notebook open"
10"She kept looking"
11"Quinn rose and stepped carefully"
12"She looked down at the"
13"Ankle boots, good leather, the"
14"Quinn moved her torch slowly"
15"Dev crouched beside her, shining"
16"He said nothing for a"
17"Quinn looked at the woman's"
18"A small wristwatch, cheap, its"
19"The hands had stopped at"
ratio0.762
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences42
matches(empty)
ratio0
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount1
matches
0"Beyond it, a young woman lay on her back at the platform's edge, one arm stretched toward the tracks as though she had been reaching for a train that would neve…"
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount2
matches
0"Sergeant Dev Raman came, his torch swinging"
1"She stood, knees cracking in the cold"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences32
tagDensity0.094
leniency0.188
rawRatio0
effectiveRatio0
90.6280%