Run: 2026-09-29-01M3P2KBBM7KYZ72H0THC290BB

Run Details

Duration:
33.1s
Cost:
$0.033732
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
Rain hammered Camden High Street so hard it bounced, a silver haze knee-high on the tarmac. Quinn ran through it with her coat flapping open and her lungs burning, eyes fixed on the dark curly head bobbing thirty yards ahead. Tomás Herrera ran well for a man who fixed people for a living. He cut between the late-night kebab queues and vaulted a bike rack without breaking stride. The Saint Christopher medallion at his throat flashed once under a streetlamp, a cheap little wink of gold. She had followed him for two hours. Out of the Raven's Nest, past the green neon that buzzed and stuttered above the door, then onto the Northern line with a newspaper held up like an amateur. He had been careful all the way. Somewhere between Mornington Crescent and the market he had stopped being careful and started being scared. That interested her more than anything else he'd done. "Herrera!" Her voice cracked off the wet brick. "Police! Stop!" He didn't. Of course he didn't. He swung left at the railway bridge and dropped down the slick steps toward the canal. Quinn took them two at a time, her left hand skimming the rail, the worn leather watch strap sliding against her wrist. Eighteen years on the Met. She'd run down muggers, arsonists, and one very fast grandmother. She was not about to lose a disgraced paramedic in the rain. The towpath was black and narrow. Water dripped from the arches in long, ropy strings. A cyclist's lamp swung past and gone, and then there was only the sound of two people breathing and the canal slapping against its stone lip. "Tomás!" She used the name deliberately, the soft version, the one his friends used. "I only want to talk!" His laugh came back thin and ragged. "You want to talk in a cell!" "I want to talk about the man with the knife! Your arm, Tomás! Who cut you?" That was a gamble. She'd seen the scar on his forearm in the file, pale and puckered, and she'd guessed it had a story. He faltered for half a step, just enough. She gained five yards. Then he was through a gap in a chain-link fence she would have sworn was solid, and by the time she squeezed after him, wire snagging her sleeve, he was crossing a gravel yard toward a squat Victorian building. Its tiled front was the color of old teeth. Boards covered the windows. Above the door, half hidden by ivy, a roundel had faded to a ghost of red and blue. A Tube station. Long dead, and not on any map she'd ever studied. Quinn slowed, one hand drifting to her hip, where her radio sat next to a holster she was not, technically, wearing tonight. This was surveillance. Off shift. Off book. Her breath smoked and the rain ran into her collar and down her spine. Herrera stood at the door with his back to her. He was fumbling something out of his jacket, something small and pale. He pressed it flat against the boards. She saw it plainly for a second. A disc of yellowed bone, no bigger than a coin, carved with a spiral. The boards shivered, and the wood seemed to breathe in. A seam of amber light opened down the middle of the door. Warmth rolled out with it, and a sound she couldn't place at first. Voices, hundreds of them, layered and eager, and under that a rhythm like a heartbeat. The smell arrived a moment later: hot sugar, woodsmoke, something like struck matches, something like copper. Herrera turned. Water streamed from his curls and plastered his shirt to his chest. He looked exhausted, and terrified, and something else she hadn't expected. He looked sorry. "Don't, Detective," he said. His accent, thinned by years in London, had thickened with fear. "Please. Go home. Whatever you think this is, you are wrong about it, and being wrong about it will kill you." "Then explain it to me." "I can't." He almost smiled. "Not because I won't." "Tomás." "Go home, Detective Quinn." He stepped through. The seam of light narrowed, and Quinn understood she had perhaps four seconds. She stood in the rain with her heart slamming and made herself think it through the way she'd been trained. No backup. No warrant. No jurisdiction she could name for a building that didn't exist. If she called it in, she'd be explaining to a superintendent why she was tailing a man on her own time, and the seam of light would be a boarded door by the time anyone arrived. If she went in, no one knew where she was. Nobody would come looking until morning, and when they did, they would find a wet patch of gravel. That was how it had gone for Morris. Three years, and she could still see the flat in Bermondsey. The door standing open. Morris's coat on the floor, his keys still in it. No blood, no body, no signal on his phone after 11:42 p.m. The inquiry called it *unexplained circumstances*. Quinn had called it a lie by people too tired to say what they'd seen in the CCTV. She had watched that footage until the pixels bled. The hallway, and Morris walking into it, and something in the corner of the frame that the camera couldn't hold onto. Something the light seemed to bend away from. She had spent three years hunting the shape of that absence. And here, at last, was a door in the shape of it. Four seconds. Three. Every instinct she'd built into herself said walk away, gather, plan, return in daylight with a team. But she also knew how these places worked. They moved. They closed. Come back tomorrow and there would be gravel and ivy and a fence with no gap in it. Two. She pressed her thumb against the watch face, an old habit, and felt the tick of it through the leather. Then she crossed the yard in four long strides and jammed her shoulder into the closing seam. It didn't feel like wood. It felt like pushing into warm water, a resistance that gave grudgingly, and for one awful moment she thought it would hold her, pin her half in and half out. Then it let go with a soft, wet sound, like a breath released. She stumbled forward into light. The door shut behind her. She didn't need to look to know that the handle she'd been reaching for was gone. A staircase of white tile fell away ahead, worn hollow in the middle by ten thousand ghost commuters. The stairwell walls were plastered with handbills in a dozen alphabets, some of which seemed to shift when she looked away. Far below, the noise swelled. A bell rang. Someone was shouting prices. Someone else was singing in a language that made her back teeth ache. Halfway down the flight, Herrera had stopped. He was gripping the rail, staring up at her, and the look on his face was not the look of a man who'd been caught. It was the look of a man watching someone step off a cliff. "You shouldn't have followed me," he said quietly. Quinn drew herself up to her full five-foot-nine, wet through, salt-and-pepper hair dripping, and let the military stillness settle over her like armor. She started down the stairs. "Then you'd better keep up," she said, "and tell me who I'm not supposed to trust."
created_at"2026-09-29T07:55:49.499Z" 9/29/2026, 7:55:49 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4062
moderation_latency(null)
generation_time33091
tokens_prompt888
tokens_completion1928
native_tokens_prompt1266
native_tokens_completion3120
native_tokens_completion_images(null)
native_tokens_reasoning761
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"
usage0.033732
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668549-Jng10xBBDPWP8yIPsRyK"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668549-cScro2oqvVABMnU8p2j8"
upstream_id"msg_011CfXNYpSpoV5RvHRy2BFmD"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNYpSpoV5RvHRy2BFmD"
is_byokfalse
latency1125
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.033732
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
66.67% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences15
tagDensity0.333
leniency0.667
rawRatio0.2
effectiveRatio0.133
92.03% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1254
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"deliberately"
count1
highlights
0"very"
1"deliberately"
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)
92.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1254
totalAiIsms2
found
0
word"down her spine"
count1
1
word"warmth"
count1
highlights
0"down her spine"
1"warmth"
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
emotionTells1
narrationSentences105
matches
0"d with fear"
74.83% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount3
narrationSentences105
filterMatches
0"watch"
1"think"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords1254
ratio0.002
matches
0"unexplained circumstances"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount1164
uniqueNames18
maxNameDensity0.52
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Morris"
discoveredNames
Camden1
High1
Street1
Herrera4
Saint1
Christopher1
Raven1
Nest1
Northern1
Mornington1
Crescent1
Met1
Victorian1
Tube1
London1
Quinn6
Morris3
Bermondsey1
persons
0"Herrera"
1"Saint"
2"Christopher"
3"Raven"
4"Nest"
5"Quinn"
6"Morris"
places
0"Camden"
1"High"
2"Street"
3"Mornington"
4"Crescent"
5"Victorian"
6"London"
7"Bermondsey"
globalScore1
windowScore1
81.51% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences73
glossingSentenceCount2
matches
0"something like struck matches, something lik"
1"something like copper"
2"felt like pushing into warm water, a re"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1254
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences114
matches
0"watched that footage"
1"know that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean30.59
std23.9
cv0.781
sampleLengths
040
146
268
310
46
565
641
719
814
916
1036
1170
1213
1343
1429
1521
1666
1728
1836
195
209
211
224
2316
2420
2579
268
2799
2823
293
3047
311
3237
3353
3421
3564
3632
3713
388
3928
4016
91.90% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences105
matches
0"been trained"
1"was gone"
2"were plastered"
3"been caught"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount7
totalVerbs196
matches
0"was crossing"
1"was not, technically, wearing"
2"was fumbling"
3"was tailing"
4"was shouting"
5"was singing"
6"was gripping"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences114
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1171
adjectiveStacks0
stackExamples(empty)
adverbCount36
adverbRatio0.030742954739538857
lyAdverbCount7
lyAdverbRatio0.005977796754910333
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean11
std7.65
cv0.696
sampleLengths
016
124
213
315
418
57
629
77
816
99
108
112
122
134
1416
1522
165
1710
1812
196
209
2126
2214
235
247
257
2616
274
2820
298
304
3139
329
334
3418
353
3610
3722
383
392
402
4114
4210
4312
447
457
4614
4710
4812
4913
62.87% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.4298245614035088
totalSentences114
uniqueOpeners49
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences92
matches
0"Somewhere between Mornington Crescent and"
1"Of course he didn't."
2"Then he was through a"
3"Then she crossed the yard"
4"Then it let go with"
ratio0.054
72.17% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences92
matches
0"He cut between the late-night"
1"She had followed him for"
2"He had been careful all"
3"Her voice cracked off the"
4"He swung left at the"
5"She'd run down muggers, arsonists,"
6"She was not about to"
7"She used the name deliberately,"
8"His laugh came back thin"
9"She'd seen the scar on"
10"He faltered for half a"
11"She gained five yards."
12"Its tiled front was the"
13"Her breath smoked and the"
14"He was fumbling something out"
15"He pressed it flat against"
16"She saw it plainly for"
17"He looked exhausted, and terrified,"
18"He looked sorry."
19"His accent, thinned by years"
ratio0.37
68.70% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount72
totalSentences92
matches
0"Quinn ran through it with"
1"Tomás Herrera ran well for"
2"He cut between the late-night"
3"The Saint Christopher medallion at"
4"She had followed him for"
5"He had been careful all"
6"That interested her more than"
7"Her voice cracked off the"
8"He swung left at the"
9"Quinn took them two at"
10"She'd run down muggers, arsonists,"
11"She was not about to"
12"The towpath was black and"
13"Water dripped from the arches"
14"A cyclist's lamp swung past"
15"She used the name deliberately,"
16"His laugh came back thin"
17"That was a gamble."
18"She'd seen the scar on"
19"He faltered for half a"
ratio0.783
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences92
matches
0"If she called it in,"
1"If she went in, no"
ratio0.022
90.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount4
matches
0"Quinn ran through it with her coat flapping open and her lungs burning, eyes fixed on the dark curly head bobbing thirty yards ahead."
1"Tomás Herrera ran well for a man who fixed people for a living."
2"Out of the Raven's Nest, past the green neon that buzzed and stuttered above the door, then onto the Northern line with a newspaper held up like an amateur."
3"It felt like pushing into warm water, a resistance that gave grudgingly, and for one awful moment she thought it would hold her, pin her half in and half out."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences15
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
89.7865%