Run: 2026-06-01-01KT1J67Y5JHRVCTD06CMB9MMQ

Run Details

Duration:
43.0s
Cost:
$0.062920
Provider:
Anthropic

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
Rain came down in sheets, turning the Camden pavement to a black mirror that swallowed the neon and spat it back broken. Quinn ran with her coat slapping against her thighs, lungs burning, eyes fixed on the figure twenty metres ahead. "Police! Stop where you are!" The figure didn't slow. A dark hood, a flash of pale hands, boots kicking up spray as he darted between a shuttered kebab shop and a row of bins. Quinn's worn leather watch dug into her wrist as she pumped her arms, gaining a metre, losing it again when she skidded on a drain cover. She'd been tailing him for six blocks. Started outside the Raven's Nest, that green sign buzzing in the wet like a wound, and he'd clocked her the second she stepped from the doorway. No hesitation. He'd bolted, and a man who ran like that had something worth running from. "You're only making this worse for yourself!" The alley narrowed. Brick walls slick with grime closed in on either side, and the rain hammered the corrugated roofing above until it sounded like applause. The man vaulted a low chain-link fence without breaking stride. Quinn hit it at a dead run, hooked her fingers through the wire, and threw herself over. The landing jarred her knees. She didn't stop. Ahead, the alley dead-ended at a steel hoarding plastered with faded posters. Construction notices. A council seal three years out of date. The man hit the hoarding and for half a second Quinn thought she had him cornered—then he dropped, slid through a gap at the base where the metal had been peeled back, and vanished. She reached the hoarding gasping. Pressed her palm flat against the cold steel. Through the gap came a draught of air that didn't belong to the surface—stale, mineral, threaded with something sweet and rotten underneath. Old tunnel air. Quinn crouched, peered through. Darkness, and a flight of tiled steps descending into it. A disused Tube station. She knew the type. Camden had three of them, sealed up after the war, forgotten by everyone who hadn't grown up trading ghost stories about them. Everyone except the man she'd been chasing, who'd run here like he had a key. She knelt there in the rain, the water finding its way under her collar and tracing a cold line down her spine. Eighteen years on the force had given her a feel for the moment a case turned. This was one of them. The smart move was to call it in—location, suspect, request backup, hold the perimeter. Procedure existed because people who ignored it ended up dead in places like this. She thought of Morris. Three years and the thought still arrived like a fist. Her partner, gone down a hole much like this one, and the report she'd filed afterward had been a tissue of lies because the truth made no sense. No body. No blood that matched anything human. Just a smell she'd never been able to place until right now, kneeling at the lip of this stairwell with the same sweet-rot draught on her face. The same smell. Quinn's radio crackled at her shoulder. She keyed it, then stopped. Down there, signal would die in the first ten metres. And if she waited for a unit, the man would be gone, swallowed by whatever waited at the bottom of those steps. Whatever had swallowed Morris. She let go of the radio. "Stupid," she muttered, and squeezed herself through the gap. The steel scraped her shoulder blades. Then she was through, on the steps, the rain a distant murmur behind her. She drew her torch and clicked it on. The beam caught white tile gone yellow with age, a curling poster for a play that had closed before she was born, and the suspect's wet bootprints leading down. She followed them. The stairwell coiled deeper than it had any right to. Quinn counted the turns out of habit—four, five, six—long past the depth of any platform she knew. The air thickened with each step, warmer now, carrying voices. Not echoes. Voices, low and overlapping, a market hum she felt in her teeth before she could make out a single word. At the bottom, the tiled corridor opened, and Quinn stopped dead. The platform stretched before her, but no train had run here in decades. Stalls crammed the space rail to rail, lit by lamps that burned with no flame she could name—blue, green, a violet that hurt to look at directly. Canvas awnings sagged under the weight of hanging charms. A woman with too many fingers weighed silver dust on a brass scale. Somewhere a caged thing screamed and was hushed. The crowd moved between the stalls in cloaks and suits and rags, and not one of them looked surprised to be sixty feet under Camden in the company of impossible things. Quinn pressed herself against the corridor wall, torch killed, heart slamming. Her training screamed at her to retreat. Her training had no category for this. A bone the size of a thumb hung on a cord at the throat of the man nearest her—a token, she understood somehow, the price of entry. She had nothing like it. She'd walked in past whatever guarded this place by accident, through a builder's gap, and that meant she didn't belong, and being noticed would be the last thing that happened to her. She scanned the crowd for the hood. There—threading between two stalls near the far end, glancing back. He'd slowed, thinking himself safe. Thinking the market had shut the door behind him. Quinn moved off the wall and into the press of bodies, keeping her head down, her hands in her pockets, her warrant card a useless weight against her ribs. A hand closed on her arm. "You don't want to be in here." A man, young, olive-skinned, dark curls plastered to his forehead from the rain he'd brought down with him. A Saint Christopher medallion glinted at his collar, and a knife scar ran the length of his forearm where his sleeve had ridden up. His eyes flicked over her, professional, reading her the way she read suspects. "No token. No glamour. You're lit up like a flare to anything down here that's hungry. And plenty are." Quinn pulled her arm free. "Police business. Step aside." "Police." He laughed, short and humourless, and stepped in closer, dropping his voice. "Lady, there's no police down here. There's no anything you understand. You came in chasing someone." It wasn't a question. "I'd think very hard about whether catching him is worth what it's going to cost you to leave." Across the market, the hooded man turned. And looked straight at her.
created_at"2026-06-01T12:22:57.738Z" 6/1/2026, 12:22:57 PM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3056
moderation_latency(null)
generation_time43010
tokens_prompt1140
tokens_completion1704
native_tokens_prompt1574
native_tokens_completion2202
native_tokens_completion_images(null)
native_tokens_reasoning58
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"
usage0.06292
router(null)
provider_responses
0
endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_011WxBJyZZAA7zAnibDconEQ"
is_byokfalse
latency1276
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780316577-NEZEm4akdNXoRdvCOkGm"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1780316577-tnPKAsDsDSpPjcjXDdwH"
upstream_id"msg_011WxBJyZZAA7zAnibDconEQ"
total_cost0.06292
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
95.58% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1131
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
64.63% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1131
totalAiIsms8
found
0
word"tracing"
count1
1
word"down her spine"
count1
2
word"echoes"
count1
3
word"weight"
count2
4
word"the last thing"
count1
5
word"scanned"
count1
6
word"flicked"
count1
highlights
0"tracing"
1"down her spine"
2"echoes"
3"weight"
4"the last thing"
5"scanned"
6"flicked"
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
narrationSentences85
matches
0"looked surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences85
filterMatches
0"watch"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences90
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1123
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
97.37% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount1045
uniqueNames8
maxNameDensity1.05
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden3
Raven1
Nest1
Quinn11
Tube1
Morris2
Saint1
Christopher1
persons
0"Camden"
1"Quinn"
2"Morris"
3"Saint"
4"Christopher"
places
0"Raven"
globalScore0.974
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount1
matches
0"sounded like applause"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1123
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences90
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean36.23
std27.05
cv0.747
sampleLengths
041
15
255
349
47
561
656
738
844
915
1071
114
1273
133
1447
156
169
1757
183
1959
2011
21101
2225
2364
2431
2529
266
2781
289
2951
3012
92.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences85
matches
0"been peeled"
1"was hushed"
2"being noticed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs183
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences7
totalSentences90
ratio0.078
matches
0"The man hit the hoarding and for half a second Quinn thought she had him cornered—then he dropped, slid through a gap at the base where the metal had been peeled back, and vanished."
1"Through the gap came a draught of air that didn't belong to the surface—stale, mineral, threaded with something sweet and rotten underneath."
2"The smart move was to call it in—location, suspect, request backup, hold the perimeter."
3"Quinn counted the turns out of habit—four, five, six—long past the depth of any platform she knew."
4"Stalls crammed the space rail to rail, lit by lamps that burned with no flame she could name—blue, green, a violet that hurt to look at directly."
5"A bone the size of a thumb hung on a cord at the throat of the man nearest her—a token, she understood somehow, the price of entry."
6"There—threading between two stalls near the far end, glancing back."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1057
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.01608325449385052
lyAdverbCount1
lyAdverbRatio0.000946073793755913
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences90
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences90
mean12.48
std8.65
cv0.693
sampleLengths
022
119
25
34
425
526
67
726
82
914
107
113
1223
1310
1417
155
163
1712
182
198
2034
215
228
2322
243
254
2610
274
284
2922
3015
3122
3216
335
3414
3514
364
3710
3828
392
406
4127
423
436
445
4510
4622
474
486
499
72.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4666666666666667
totalSentences90
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences81
matches
0"Just a smell she'd never"
1"Then she was through, on"
2"Somewhere a caged thing screamed"
ratio0.037
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences81
matches
0"She'd been tailing him for"
1"He'd bolted, and a man"
2"She didn't stop."
3"She reached the hoarding gasping."
4"She knew the type."
5"She knelt there in the"
6"She thought of Morris."
7"Her partner, gone down a"
8"She keyed it, then stopped."
9"She let go of the"
10"she muttered, and squeezed herself"
11"She drew her torch and"
12"She followed them."
13"Her training screamed at her"
14"Her training had no category"
15"She had nothing like it."
16"She'd walked in past whatever"
17"She scanned the crowd for"
18"He'd slowed, thinking himself safe."
19"His eyes flicked over her,"
ratio0.272
64.94% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences81
matches
0"Rain came down in sheets,"
1"Quinn ran with her coat"
2"The figure didn't slow."
3"A dark hood, a flash"
4"Quinn's worn leather watch dug"
5"She'd been tailing him for"
6"He'd bolted, and a man"
7"The alley narrowed."
8"Brick walls slick with grime"
9"The man vaulted a low"
10"Quinn hit it at a"
11"The landing jarred her knees."
12"She didn't stop."
13"A council seal three years"
14"The man hit the hoarding"
15"She reached the hoarding gasping."
16"Quinn crouched, peered through."
17"Darkness, and a flight of"
18"A disused Tube station."
19"She knew the type."
ratio0.79
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences81
matches(empty)
ratio0
57.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount5
matches
0"Rain came down in sheets, turning the Camden pavement to a black mirror that swallowed the neon and spat it back broken."
1"Quinn ran with her coat slapping against her thighs, lungs burning, eyes fixed on the figure twenty metres ahead."
2"Quinn's worn leather watch dug into her wrist as she pumped her arms, gaining a metre, losing it again when she skidded on a drain cover."
3"Through the gap came a draught of air that didn't belong to the surface—stale, mineral, threaded with something sweet and rotten underneath."
4"The beam caught white tile gone yellow with age, a curling poster for a play that had closed before she was born, and the suspect's wet bootprints leading down."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"she muttered (mutter)"
1"He laughed (laugh)"
dialogueSentences9
tagDensity0.222
leniency0.444
rawRatio1
effectiveRatio0.444
84.8481%