Run: 2026-09-29-01M3P2EN0SNQH5QF8FMX7RG47Y

Run Details

Duration:
32.2s
Cost:
$0.033142
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 came down over Camden in sheets, turning the streetlights to smears and the pavement to a black mirror. Quinn ran through it with her coat flapping open and her breath sawing in her chest, eyes locked on the figure twenty yards ahead. Tomás Herrera ran well for a man carrying a medical bag. He took the wet corners low and tight, the way someone does when he has spent years sprinting toward emergencies. His dark curls were plastered to his skull. Twice he glanced back, and twice she saw the pale flash of his face before he dove into the next turn. She had followed him from the Raven's Nest, three hours of nursing a cold coffee across from that green neon sign while the crowd in Soho thickened and thinned. When he finally slipped out the side door with the bag clutched to his ribs, she'd tailed him down into the Tube, through two changes, and north. She had been good. Eighteen years of being good. But at Camden Town he'd stopped dead on the platform, turned, and looked straight at her over the heads of the commuters, as if she'd called his name. Then he'd bolted. "Police! Herrera, stop!" The shout tore out of her and vanished into the downpour. He didn't slow. He cut left past a shuttered kebab shop, vaulted a stack of flattened crates, and skidded into an alley barely wider than her shoulders. Quinn followed. Her boots slapped through standing water, and the worn leather watch on her left wrist dragged at her sleeve, cold and heavy with rain. Somewhere behind her, a bus hissed past on Chalk Farm Road. The sound already felt very far away. The alley bent, then bent again. Brick walls sweated on either side. A rusted fire escape clanged as Tomás caught it with one hand to swing himself around a dumpster, and in the sodium light she saw the long pale scar on his forearm, the old knife line, stark against his olive skin. The Saint Christopher medallion swung out from his collar and flashed. Patron saint of travelers, she thought, absurdly. Let's see where he takes you. The alley spat them out onto a forgotten service road behind a row of derelict shopfronts. Tomás went straight across it, toward a squat Victorian building she almost missed: sooty tile, a boarded arch, a rusted iron grille. Faded lettering above the door had once spelled out a station name. Quinn knew every Tube station in the city, and she had never seen this one. He reached the grille and it swung inward before he touched it. A shape stood in the doorway, broad and unmoving, wrapped in an oilskin coat with the hood drawn low. Tomás dug something from his pocket and held it up. It was small, white, and curved, and for one second it caught the light like a tooth. The shape nodded. Tomás slipped past it and down into the dark. Quinn slowed to a jog, then a walk, then stopped ten feet from the door, chest heaving, rain running down the back of her collar. Her hand had already found the baton at her hip. Her other hand, she realized, had gone to her watch, thumb rubbing the cracked leather the way it always did when she was thinking about Morris. *Three years.* Three years since he'd walked into a warehouse in Deptford and she'd found only the door swinging on its hinges, the floor scorched in a shape she still couldn't explain, and a silence that had followed her into every room since. The inquiry had used words like *misadventure* and *unresolved.* She had used none, because she'd had none. But she'd seen things at the edge of that case, half-glimpsed and easy to deny, and this was the first door she had found in three years that felt like the same kind of door. The figure in the oilskin coat turned its hooded head toward her. "Evening, officer." The voice was mild, almost courteous. "Lost?" "Detective Inspector Quinn, Metropolitan Police." She kept her voice level and flat, parade-ground steady. "A man just ran through that door. I'm going to need to speak with him." "Are you, now." "I can have this street full of uniforms in six minutes." "You could," the figure agreed. "They'd find a boarded-up station and a very boring cellar. They always do." A pause. "But you don't have six minutes, do you? He's already halfway to the concourse. And you didn't call it in." She hadn't. Quinn felt the truth of it settle like a stone. She'd told no one where she was tonight, because nothing she had would hold up in a briefing room. A bar, a disgraced paramedic, a hunch, and a dead partner's ghost. "What's down there?" she asked. "Business." The hood tilted. "Anything you want, if you can pay. Anything you don't, if you can't." A gloved hand lifted, palm up. "Token." "I don't have one." "Then you don't come in." Simple as that. A locked door with a bouncer, and the whole apparatus of her authority worth nothing here. She could hear it, faintly, rising up through the grille: a murmur like a crowd, the rattle of something like coins, and under it a low, sweet note she couldn't place, one that made the fine hairs lift along her arms. She thought about the rules. Warrant, backup, procedure. She had built her whole career on the rule that you never went into a room you couldn't get out of. Military precision, her old sergeant had called it, and had not meant it as praise. She thought about Tomás Herrera's bag, bulging and heavy, and the way he had looked at her across the platform. Not afraid. Sorry. And she thought: *Morris would have gone in already.* That was the trouble with Morris. He'd always gone in first. Quinn drew a slow breath. She unbuttoned her coat, pulled her warrant card from the inside pocket, and looked at it for a long moment in the wet gray light. Then she slid it away again, deep, where it wouldn't show. "I'm not here as a police officer," she said. "No?" "I'm here to buy." She kept her eyes on the hood, on the dark where a face should be. "Information. Whatever it costs." The figure was silent so long that the rain seemed to grow louder. Then, softly, it laughed, a dry sound like paper tearing. "Everyone's buying information," it said. "That's the only thing worth selling." A step aside, the oilskin rustling. "No token means no protection. Whatever happens down there, happens. Nobody comes looking. Nobody *can* come looking. You understand?" "I understand." "And your baton stays sheathed, love. Draw it below and it'll be the last thing you do with that hand." Quinn took her palm from the baton. It cost her more than she expected. She stepped over the threshold. The air changed at once, warmer, thick with the smells of spice and hot metal and something sweetly rotten underneath. Tiled steps descended into a dark that glowed faintly at the bottom, amber and green and violet, a color for every lie ever told. Somewhere below, a voice was calling out prices in a language she didn't know. Behind her, the iron grille clanged shut. She didn't look back. She checked the watch on her wrist, out of habit, out of ritual, and found that its hands had stopped at 11:52. Then she squared her shoulders, set her jaw, and started down after him.
created_at"2026-09-29T07:53:15.551Z" 9/29/2026, 7:53:15 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3842
moderation_latency(null)
generation_time32141
tokens_prompt888
tokens_completion1882
native_tokens_prompt1266
native_tokens_completion3061
native_tokens_completion_images(null)
native_tokens_reasoning648
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"
usage0.033142
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668395-48O2unXzYRcjMrn2JyDA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668395-ZXyZZ8WzoLC9cQAYT865"
upstream_id"msg_011CfXNMUANenbRB3tUAfvpq"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNMUANenbRB3tUAfvpq"
is_byokfalse
latency704
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.033142
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences25
tagDensity0.36
leniency0.72
rawRatio0
effectiveRatio0
84.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1262
totalAiIsmAdverbs4
found
0
adverb"very"
count2
1
adverb"softly"
count1
2
adverb"sweetly"
count1
highlights
0"very"
1"softly"
2"sweetly"
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)
88.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1262
totalAiIsms3
found
0
word"stark"
count1
1
word"silence"
count1
2
word"the last thing"
count1
highlights
0"stark"
1"silence"
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
narrationSentences85
matches(empty)
75.63% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences85
filterMatches
0"watch"
1"see"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences99
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans5
markdownWords11
totalWords1262
ratio0.009
matches
0"Three years."
1"misadventure"
2"unresolved."
3"Morris would have gone in already."
4"can"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions1
matches
0"Then, softly, it laughed, a dry sound like paper tearing."
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount1094
uniqueNames19
maxNameDensity0.64
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Tomás"
discoveredNames
Camden2
Herrera2
Raven1
Nest1
Soho1
Tube2
Town1
Chalk1
Farm1
Road1
Tomás6
Saint1
Christopher1
Victorian1
Morris3
Three2
Deptford1
Simple1
Quinn7
persons
0"Herrera"
1"Tomás"
2"Saint"
3"Christopher"
4"Morris"
5"Quinn"
places
0"Camden"
1"Raven"
2"Soho"
3"Tube"
4"Town"
5"Chalk"
6"Farm"
7"Road"
8"Victorian"
9"Three"
10"Deptford"
globalScore1
windowScore1
70.63% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount2
matches
0"felt like the same kind of door"
1"something like coins, and under it a low, sw"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1262
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences99
matches
0"found that its"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean30.78
std26.39
cv0.857
sampleLengths
043
160
293
33
43
582
664
713
865
958
1012
1161
1295
1312
149
1529
163
1711
1840
1943
205
2124
224
235
2460
2544
2623
279
2811
2941
309
311
3223
3323
3436
352
3620
3714
3863
397
4039
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences85
matches
0"were plastered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs170
matches
0"was thinking"
1"was calling"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences99
ratio0
matches(empty)
99.87% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1096
adjectiveStacks0
stackExamples(empty)
adverbCount44
adverbRatio0.040145985401459854
lyAdverbCount8
lyAdverbRatio0.0072992700729927005
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences99
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences99
mean12.75
std9.35
cv0.734
sampleLengths
019
124
211
320
48
521
629
727
84
95
1028
113
123
1311
143
1524
162
1724
1811
197
206
216
2241
2311
247
256
2616
2722
2812
2915
3012
3119
3210
3317
343
359
3625
3710
3826
3943
4017
4135
4212
438
441
4514
4615
473
4811
495
70.71% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.45454545454545453
totalSentences99
uniqueOpeners45
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences77
matches
0"Twice he glanced back, and"
1"Then he'd bolted."
2"Somewhere behind her, a bus"
3"Then she slid it away"
4"Then, softly, it laughed, a"
5"Somewhere below, a voice was"
6"Then she squared her shoulders,"
ratio0.091
95.32% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences77
matches
0"He took the wet corners"
1"His dark curls were plastered"
2"She had followed him from"
3"She had been good."
4"He didn't slow."
5"He cut left past a"
6"Her boots slapped through standing"
7"He reached the grille and"
8"It was small, white, and"
9"Her hand had already found"
10"Her other hand, she realized,"
11"She kept her voice level"
12"She'd told no one where"
13"She could hear it, faintly,"
14"She thought about the rules."
15"She had built her whole"
16"She thought about Tomás Herrera's"
17"He'd always gone in first."
18"She unbuttoned her coat, pulled"
19"She kept her eyes on"
ratio0.312
83.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences77
matches
0"Rain came down over Camden"
1"Quinn ran through it with"
2"Tomás Herrera ran well for"
3"He took the wet corners"
4"His dark curls were plastered"
5"She had followed him from"
6"She had been good."
7"The shout tore out of"
8"He didn't slow."
9"He cut left past a"
10"Her boots slapped through standing"
11"The sound already felt very"
12"The alley bent, then bent"
13"Brick walls sweated on either"
14"A rusted fire escape clanged"
15"The Saint Christopher medallion swung"
16"Patron saint of travelers, she"
17"The alley spat them out"
18"Tomás went straight across it,"
19"Quinn knew every Tube station"
ratio0.753
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences77
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount2
matches
0"Quinn ran through it with her coat flapping open and her breath sawing in her chest, eyes locked on the figure twenty yards ahead."
1"But she'd seen things at the edge of that case, half-glimpsed and easy to deny, and this was the first door she had found in three years that felt like the same…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"the figure agreed (agree)"
dialogueSentences25
tagDensity0.16
leniency0.32
rawRatio0.25
effectiveRatio0.08
92.2604%