Run: 2026-10-08-01M4DA6MYDWRCZ8NH7JC93WD7N

Run Details

Duration:
16.3s
Cost:
$0.001301
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 rain had found its way under her collar twenty minutes ago, and Harlow Quinn had stopped noticing it somewhere around Chalk Farm Road. Her eyes stayed on the figure ahead: a narrow back in a dark waxed jacket, curly hair flattened black by the wet, one hand pressed to his chest where a medallion would be. Tomás Herrera ran like a man who had once carried stretchers for a living. Economical. Never wasting a stride. She had watched him leave the Raven's Nest at half eleven, green neon bleeding across the wet pavement of Dean Street. She had watched him stop under a streetlamp, glance back once, and then choose to walk instead of run, which was the first thing that told her he knew she was there. The second was when he turned into Camden and started to run. "Metropolitan Police," she shouted, and her voice came back off the shuttered shopfronts, flat and useless. He didn't look back. Quinn pushed harder. Her left wrist throbbed where the worn leather strap had rubbed it raw, the watch ticking against her pulse. Eighteen years of service had kept her fit and had taught her that the body lied less than the mind did. Her knees said she was forty-one. Her lungs argued the point. He cut left across the forecourt of a dead pub, through a gap in the hoarding, and she lost sight of him for three full seconds. Three seconds was a lifetime in a chase. She came through the gap sideways, coat snagging on a nail, and found herself in a yard full of skips and broken pallets. Water pooled in the cracks of the concrete and reflected the orange glow of the streetlights. At the far end of the yard stood a Tube station entrance, its roundel long since stripped, its tiled arch stained black. The sign above the doors had been painted over with a single word in white: CLOSED. Someone had nailed a sheet of corrugated iron across the lower half. The iron had been pried loose at one corner and hung like a flap. Tomás was already through it. Quinn stopped at the threshold and listened. Rain drummed on the iron. Somewhere beyond the arch, water dripped with a patient, metronomic rhythm. And beneath that, so faint she thought at first it was her own pulse, came a murmur of voices, the clink of glass, a sound like someone laughing in a language she didn't know. She drew a breath, reached for her radio, and found the clip empty. No signal down here, or none she could trust. She keyed it anyway, said her location and the word *Camden* into the static, and tucked it away. Inside, a flight of stairs led down into a darkness that smelled of wet brick and something sweeter underneath, like incense left too long in a closed room. The old ticket hall was gone. In its place someone had strung lanterns along the tunnel mouth, and the light they cast was the colour of weak tea. At the bottom of the stairs stood a man in a long grey coat. He was tall, older than her, with a face so still it might have been carved. Hanging from a leather cord around his neck was a small pale token, carved from something that gleamed like ivory under the lanterns. "You're not on the list," he said. Quinn held up her warrant card. "Where did the man who just came through here go?" The doorman looked at the card for a long moment, then at her, and his mouth moved in something that wasn't quite a smile. "Badges don't open doors below Camden, Detective. Bone opens doors. Nothing else." He tipped his head toward a stone archway beyond him, where the lantern light fell away into shadow. "Your friend has a token. You don't." "Then I'll arrest him on the way out." "You could try." Quinn looked past him. Beyond the arch she could make out the shapes of stalls, canvas awnings, figures moving between them with the unhurried purpose of people who did not expect to be interrupted. Somewhere inside, a woman was calling out prices. Somewhere else, a child was crying. Nobody looked her way. She thought of Morris. Of the last thing he'd said to her before the call came in, something about a witness who had been dead for six days and still answering his door. She had told him he was tired. She had been wrong about a lot of things in those last weeks, and she had never found out what he had seen. The file had closed itself with words like *unexplained* and *inconclusive*, and then it had been locked in a drawer where nobody would look. The watch ticked against her wrist. Ten past midnight, by its face. The moon, she realised, had to be full somewhere above the clouds. "Last chance, Detective," the doorman said quietly. "Once you're down there, the streets stop counting you." Quinn unbuttoned her wet coat, letting it fall open so he could see the holster at her hip, a gesture that meant nothing to him and everything to her. Then she stepped past him onto the first of the stone steps, and the lantern light closed over her like water.
created_at"2026-10-08T08:31:13.878Z" 10/8/2026, 8:31:13 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency16296
moderation_latency(null)
generation_time16296
tokens_prompt888
tokens_completion1227
native_tokens_prompt1266
native_tokens_completion2348
native_tokens_completion_images(null)
native_tokens_reasoning736
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"
usage0.0013006
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448273-nWOYi6EJHeB6mp67Y3Jy"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448273-B278mCa30uVxxrJn5IK9"
upstream_id"msg_011CfpTXf8rDH68yqQhegT7H"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTXf8rDH68yqQhegT7H"
is_byokfalse
latency728
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0013006
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
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount1
adverbTags
0"the doorman said quietly [quietly]"
dialogueSentences9
tagDensity0.444
leniency0.889
rawRatio0.25
effectiveRatio0.222
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount887
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)
77.45% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount887
totalAiIsms4
found
0
word"throbbed"
count1
1
word"pulse"
count2
2
word"the last thing"
count1
highlights
0"throbbed"
1"pulse"
2"the last thing"
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
narrationSentences57
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences57
filterMatches(empty)
hedgeMatches
0"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences62
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords3
totalWords887
ratio0.003
matches
0"Camden"
1"unexplained"
2"inconclusive"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount828
uniqueNames13
maxNameDensity0.72
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn6
Chalk1
Farm1
Road1
Herrera1
Raven1
Nest1
Dean1
Street1
Camden2
Tube1
Morris1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Raven"
4"Morris"
places
0"Chalk"
1"Farm"
2"Road"
3"Dean"
4"Street"
5"Camden"
globalScore1
windowScore1
94.44% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount1
matches
0"quite a smile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount887
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences62
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean42.24
std25.63
cv0.607
sampleLengths
076
165
220
354
473
564
65
757
840
956
1053
117
1216
1361
148
153
1652
1787
1824
1916
2050
74.48% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences57
matches
0"been painted"
1"been pried"
2"was gone"
3"been carved"
4"been locked"
98.22% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs131
matches
0"was calling"
1"was crying"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences62
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount829
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.033775633293124246
lyAdverbCount2
lyAdverbRatio0.0024125452352231603
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences62
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences62
mean14.31
std9.19
cv0.642
sampleLengths
024
133
214
31
44
521
632
712
816
94
103
1119
1221
136
145
1526
168
1723
1816
1922
2016
2112
2214
235
247
255
2611
2734
2813
299
3018
3128
326
3322
3414
3516
3623
377
386
3910
4024
4130
427
438
443
454
4630
478
486
494
77.96% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.5161290322580645
totalSentences62
uniqueOpeners32
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences55
matches
0"Somewhere beyond the arch, water"
1"Somewhere inside, a woman was"
2"Somewhere else, a child was"
3"Then she stepped past him"
ratio0.073
96.36% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences55
matches
0"Her eyes stayed on the"
1"She had watched him leave"
2"She had watched him stop"
3"she shouted, and her voice"
4"He didn't look back."
5"Her left wrist throbbed where"
6"Her knees said she was"
7"Her lungs argued the point."
8"He cut left across the"
9"She came through the gap"
10"She drew a breath, reached"
11"She keyed it anyway, said"
12"He was tall, older than"
13"He tipped his head toward"
14"She thought of Morris."
15"She had told him he"
16"She had been wrong about"
ratio0.309
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount38
totalSentences55
matches
0"The rain had found its"
1"Her eyes stayed on the"
2"Tomás Herrera ran like a"
3"She had watched him leave"
4"She had watched him stop"
5"The second was when he"
6"she shouted, and her voice"
7"He didn't look back."
8"Quinn pushed harder."
9"Her left wrist throbbed where"
10"Her knees said she was"
11"Her lungs argued the point."
12"He cut left across the"
13"She came through the gap"
14"Water pooled in the cracks"
15"The sign above the doors"
16"Someone had nailed a sheet"
17"The iron had been pried"
18"Tomás was already through it."
19"Quinn stopped at the threshold"
ratio0.691
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
8.93% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount6
matches
0"Tomás Herrera ran like a man who had once carried stretchers for a living."
1"Inside, a flight of stairs led down into a darkness that smelled of wet brick and something sweeter underneath, like incense left too long in a closed room."
2"Hanging from a leather cord around his neck was a small pale token, carved from something that gleamed like ivory under the lanterns."
3"Beyond the arch she could make out the shapes of stalls, canvas awnings, figures moving between them with the unhurried purpose of people who did not expect to …"
4"Of the last thing he'd said to her before the call came in, something about a witness who had been dead for six days and still answering his door."
5"Quinn unbuttoned her wet coat, letting it fall open so he could see the holster at her hip, a gesture that meant nothing to him and everything to her."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences9
tagDensity0.333
leniency0.667
rawRatio0.333
effectiveRatio0.222
85.5579%