Run: 2026-10-08-01M4DA6XG3EWF145M2W7YMZE0Z

Run Details

Duration:
14.4s
Cost:
$0.001186
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 Camden Town platform had been dead for seventy years, and it smelled like it. Harlow Quinn stood at the bottom of the stairs with her torch angled low and let the beam travel the length of the tiles. Mildew bloomed in the grout. Advertising posters from a decade no one remembered peeled off the walls in strips. Someone had strung a line of blue police tape across the turnstiles, and the tape hung limp, as if the air had lost interest in it. "Ma'am." DC Tom Halloran came down the stairs two at a time, his breath steaming. He was twenty-nine, eager, and he had already decided what this was. "Uniform says the squatters found him this morning. Male, mid-thirties. No ID." "Cause?" "Looks like an overdose. Pupils blown, lips blue. Probably some bad batch from the clubs on Chalk Farm Road." He shrugged. "Happens every winter." Quinn didn't answer. She walked to the edge of the platform where the body lay against the tiled wall, knees drawn up, one arm flung over his face as if he had been shielding his eyes from a light. The coroner's van was not yet here. The scene was hers until it wasn't. She crouched. Her knees protested, a small reminder of forty-one years and eighteen of them in uniform and plain clothes. She did not look at the face yet. She looked at the floor. "Tom. Who else has been down here?" "Just the lads who found him and the constable on the gate." "Look at the dust." He crouched beside her, squinting. The platform was furred with grey, the kind of dust that took a footprint like wet cement. Three sets of boot prints led from the stairwell to the body, scuffed and overlapping, the squatters' prints and the constable's. Then there was a fourth set, narrower, leading from the far end of the platform, where the tunnel mouth yawned black behind a rusted gate that should have been chained shut. "Those go in," Tom said slowly. "They don't come out." "Follow them." He followed them with his torch. They ran straight to the body and stopped. No second line led away. Not even a drag mark. "So he came out of the tunnel," Tom said. "Wandered over, sat down, took something." "Look at his hands." The man's right hand lay open on his thigh. Quinn had already seen what was in it: a bone token, yellowed and carved with a crude spiral, pressed so hard into the palm that the skin around it was reddened. A ritual object. Or a pass. She had seen tokens like it once before, in a file she had never been meant to open, three years ago, in a case that had ended with DS Morris's body in a morgue drawer and a report that said nothing at all. She did not say that aloud. "Could be a keepsake," Tom offered. "Could be." She reached for the man's left wrist, careful, and turned it toward the torch. A thin watch lay against his skin, its hands stopped at twenty past three. Quinn checked her own watch out of habit. Her worn leather strap was warm from her pulse. She had been on this platform perhaps eight minutes. Whatever time that was, it was not the time on his. "Stopped," Tom said. "Batteries, maybe." "It's mechanical." Quinn turned her attention to the tiles beside the body. There, in the grey dust, half-hidden under the man's hip, was a faint circular impression with a smaller mark at its center. She tilted her torch until the grain of the dust caught the light. A ring, perhaps two inches across. Ridges around the edge, almost like etched lettering. Something had sat here, something heavy and round with a sharp point at its heart, and it had been lifted away recently, because the edges of the impression were still crisp. Verdigris had flaked into the dust beside it, a fine green-grey powder. Copper, oxidised for years. "Tom, bag me a sample of that. Careful." "Ma'am, it's dust." "It's a compass," she said quietly, and watched his face change as he realised she meant it. She had seen the sigils once, under the glass of an evidence locker. Protective marks, the kind carved by people who knew exactly what the Market could do to a man who walked out of it without paying. The squatters had seen nothing, Tom said, because the squatters had been drunk. The constable had seen nothing because the constable had been sick at the top of the stairs. There was no drug paraphernalia. No bottle. No needle. A man who had died of a bad batch would have left something behind: a cup, a crumpled wrapper, a phone. This man had left only a token, a stopped watch, and a set of footprints that walked into the dark and never returned. Quinn stood, her knees cracking, and looked down the tunnel where the dark held its breath. "He didn't overdose, Tom," she said. "He was waiting for someone to come back for him, and they didn't." Behind her, very faintly, the tape on the turnstile stirred, though the air was perfectly still.
created_at"2026-10-08T08:31:22.634Z" 10/8/2026, 8:31:22 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency14379
moderation_latency(null)
generation_time14379
tokens_prompt896
tokens_completion1440
native_tokens_prompt1287
native_tokens_completion2114
native_tokens_completion_images(null)
native_tokens_reasoning472
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"
usage0.0011857
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448282-dI4DgTUmBXXNZwGamTyi"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448282-b6mBSWm3HSNaQYVydoQB"
upstream_id"msg_011CfpTYJPTU7qj4CJRqbj8J"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTYJPTU7qj4CJRqbj8J"
is_byokfalse
latency708
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0011857
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
33.33% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount2
adverbTags
0"Tom said slowly [slowly]"
1"she said quietly [quietly]"
dialogueSentences24
tagDensity0.417
leniency0.833
rawRatio0.2
effectiveRatio0.167
82.70% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount867
totalAiIsmAdverbs3
found
0
adverb"slowly"
count1
1
adverb"very"
count1
2
adverb"perfectly"
count1
highlights
0"slowly"
1"very"
2"perfectly"
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)
76.93% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount867
totalAiIsms4
found
0
word"reminder"
count1
1
word"pulse"
count1
2
word"mechanical"
count1
3
word"etched"
count1
highlights
0"reminder"
1"pulse"
2"mechanical"
3"etched"
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
narrationSentences61
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences61
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences76
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords867
ratio0
matches(empty)
97.22% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions1
matches
0"The squatters had seen nothing, Tom said, because the squatters had been drunk."
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount735
uniqueNames7
maxNameDensity0.82
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Tom"
discoveredNames
Camden1
Town1
Quinn6
Tom6
Halloran1
Morris1
Market1
persons
0"Quinn"
1"Tom"
2"Halloran"
3"Morris"
4"Market"
places
0"Camden"
1"Town"
globalScore1
windowScore1
90.48% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences42
glossingSentenceCount1
matches
0"smelled like it"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount867
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences76
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean28.9
std29.62
cv1.025
sampleLengths
084
139
21
324
453
533
67
712
84
974
1010
112
1224
1315
144
1589
166
176
1867
195
202
2190
2216
238
243
2555
2683
2716
2819
2916
76.50% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences61
matches
0"was furred"
1"been chained"
2"was reddened"
3"been meant"
4"been lifted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs117
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences76
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount276
adjectiveStacks0
stackExamples(empty)
adverbCount2
adverbRatio0.007246376811594203
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences76
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences76
mean11.41
std8.86
cv0.776
sampleLengths
015
124
25
314
426
515
612
712
81
921
103
113
1236
137
147
152
1618
178
185
197
2012
214
225
2317
2421
2531
266
274
282
296
308
315
325
339
346
354
369
3731
383
393
4043
416
426
4316
4414
458
469
479
4811
493
80.70% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.5394736842105263
totalSentences76
uniqueOpeners41
62.89% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences53
matches
0"Then there was a fourth"
ratio0.019
99.25% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences53
matches
0"He was twenty-nine, eager, and"
1"She walked to the edge"
2"Her knees protested, a small"
3"She did not look at"
4"She looked at the floor."
5"He crouched beside her, squinting."
6"He followed them with his"
7"They ran straight to the"
8"She had seen tokens like"
9"She did not say that"
10"She reached for the man's"
11"Her worn leather strap was"
12"She had been on this"
13"She tilted her torch until"
14"she said quietly, and watched"
15"She had seen the sigils"
ratio0.302
44.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences53
matches
0"The Camden Town platform had"
1"Harlow Quinn stood at the"
2"Mildew bloomed in the grout."
3"Someone had strung a line"
4"DC Tom Halloran came down"
5"He was twenty-nine, eager, and"
6"Quinn didn't answer."
7"She walked to the edge"
8"The coroner's van was not"
9"The scene was hers until"
10"Her knees protested, a small"
11"She did not look at"
12"She looked at the floor."
13"He crouched beside her, squinting."
14"The platform was furred with"
15"Tom said slowly"
16"He followed them with his"
17"They ran straight to the"
18"The man's right hand lay"
19"Quinn had already seen what"
ratio0.83
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences53
matches(empty)
ratio0
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount2
matches
0"She walked to the edge of the platform where the body lay against the tiled wall, knees drawn up, one arm flung over his face as if he had been shielding his ey…"
1"Then there was a fourth set, narrower, leading from the far end of the platform, where the tunnel mouth yawned black behind a rusted gate that should have been …"
75.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount1
matches
0"DC Tom Halloran came, his breath steaming"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences24
tagDensity0.208
leniency0.417
rawRatio0
effectiveRatio0
86.9274%