Run: 2026-09-29-01M3P2EANBQ568T4V9HV9KTPDB

Run Details

Duration:
32.8s
Cost:
$0.034002
Provider:
Claude Platform on AWS

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 hammered Camden High Street and turned the tarmac into a black mirror. Quinn's boots slapped through it, one stride behind the reflection of a man who ran faster than a former paramedic had any right to. "Tomás Herrera! Police! Stop!" He didn't stop. He vaulted a stack of flattened cardboard outside a shuttered kebab shop and took the corner into Inverness Street, his canvas medical bag slamming against his hip. The Saint Christopher medallion swung out from his collar and flashed silver under a streetlamp. Quinn hit the radio on her shoulder. Water ran down her jaw and into her collar. "Control, this is Quinn. Foot pursuit, male, late twenties, dark curly hair, heading north off Inverness Street. I need units on Chalk Farm Road." "Quinn, we've got nothing near you. Nearest car is eleven minutes out. Hold your position." "I'm not holding anything. Eleven minutes, then." She killed the volume. Her leather watch strap, soaked through, chafed her left wrist with every swing of her arm. Eighteen years of service had taught her to count strides and breaths, and she counted them now. Forty metres between them. Thirty-five. Tomás glanced back. Even through the rain she saw his face, wide-eyed and slick, the face of a man who had rehearsed this moment and hated how it felt. "Go home, Detective!" His accent bent the vowels, Seville swimming up through the London. "You don't want this!" "I want to know what's in the bag, Tommy!" "Bandages! Saline! Boring things!" "Then you won't mind stopping!" He laughed, a short cracked bark, and cut left down a service alley behind a row of tattoo parlours. Quinn followed. The alley stank of wet bins and fryer oil. A fox scattered from a skip. Tomás's shoes skidded on a slick of leaves, and for half a second she gained on him. She reached out. Her fingertips brushed the sodden shoulder of his jacket. He twisted free and shoved a wheelie bin into her path. It caught her thigh. She went over it with a grunt, planted a palm on the lid, and landed running. Pain flared, bright and dull at once. She filed it away. "You lost your licence for treating things that shouldn't exist," she shouted. "I read the tribunal notes. Who are you patching up tonight?" "Nobody you'd believe!" "Try me!" "You already did, Detective! Three years ago! Ask yourself how that ended!" The words hit harder than the bin. Quinn's stride broke for a heartbeat. Morris. The warehouse in Bermondsey, the dark, the sound that had come from inside the walls. She locked the memory in its box and slammed the lid. "Say his name again and I'll put you on the ground!" Tomás didn't answer. The alley opened onto a wide, empty forecourt of cracked concrete. On the far side stood the ghost of a Tube station, its tiled frontage the colour of old liver, its windows boarded, a rusted steel shutter drawn across the entrance. A faded roundel clung to the wall, half its paint peeled away. No lights burned inside. No signs promised trains. Tomás sprinted straight at the shutter. Quinn slowed. Every instinct she owned told her to hold the ground behind him, to let him run into a dead end and turn around with his hands up. This was a dead end. Boarded, bricked, chained. He didn't turn around. He dug into his collar, yanked something on a cord from beneath his shirt, and slapped it against a patch of wall beside the shutter. She caught a glimpse of it, small and pale and curved. It looked like a knuckle bone, carved with a spiral. The wall answered. Bricks that should have been solid shifted with a low grinding hum, and a slot of yellow light opened at the base of the shutter, then widened, the steel rising like an eyelid. "Herrera!" He ducked under it without a look back. The light swallowed him. Quinn reached the shutter as it began to fall. She dropped to one knee, shoved her baton into the gap, and felt the whole weight of the mechanism bite down on it. The steel groaned. The baton bowed. Rain ran off the shutter's lip and splashed across her knuckles. She held it there. Warm air breathed out from beneath, and it carried things with it. Spice and hot metal. Woodsmoke. Something sweet and rotten underneath, like fruit left too long in a sealed room. Voices rose in a low tide, dozens of them, haggling in languages she half recognised and others she didn't. Somewhere a bell rang, a single clear note that didn't belong to any bell she had heard. She pressed her cheek near the gap and looked. A staircase of cracked white tile spiralled down into a cavern of lamplight. Below, where platforms should have stood, stalls crowded the tracks under strings of bulbs that burned green and amber and a colour with no name. Canvas awnings sagged under the weight of jars and cages. A woman with a veil of fine chain over her face weighed a handful of black powder on a brass scale. Beyond her, a man with too many rings on too many fingers unrolled a length of cloth that seemed to shimmer with its own weather. Tomás wove between them, small already, his bag clutched to his chest. Quinn's radio crackled at her shoulder. She had muted it, but the static still bled through, then thinned into silence. She pulled it free and checked the display. No signal. Not a bar. She knelt there, one hand on a bowing baton, and made the tally the way she had been taught in the army before the Met ever got hold of her. Unknown ground. No backup for eleven minutes, and no way to call them. A suspect who knew the terrain, and a crowd that had every reason to keep him. A hundred stalls, a hundred hiding places, and one exit she could not guarantee would stay open. Against that: Tomás Herrera, a man who had said Morris's name and meant it. The baton creaked. The shutter dropped another inch and squeezed her wrist against the concrete. "Right," she murmured. She thumbed off her radio and slid it into her pocket. She freed her torch, checked the cuffs at the small of her back, and touched the worn strap of her watch, once, the way other people touched a wedding ring. Then she let go of the baton, rolled under the falling steel, and set her boot on the first white step as the shutter slammed shut behind her.
created_at"2026-09-29T07:53:04.957Z" 9/29/2026, 7:53:04 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3773
moderation_latency(null)
generation_time32802
tokens_prompt1104
tokens_completion1892
native_tokens_prompt1576
native_tokens_completion3085
native_tokens_completion_images(null)
native_tokens_reasoning901
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"
usage0.034002
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668384-AlQ7XyvLNK5lr9ZQeV5N"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668384-TDUzVV53I2jsij1XOw64"
upstream_id"msg_011CfXNLgiQ8mejbMfib8kDx"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNLgiQ8mejbMfib8kDx"
is_byokfalse
latency603
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.034002
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences17
tagDensity0.176
leniency0.353
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1104
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)
86.41% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1104
totalAiIsms3
found
0
word"weight"
count2
1
word"silence"
count1
highlights
0"weight"
1"silence"
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
narrationSentences88
matches(empty)
77.92% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences88
filterMatches
0"watch"
hedgeMatches
0"began to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences102
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1104
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount978
uniqueNames15
maxNameDensity0.72
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Tomás"
discoveredNames
Camden1
High1
Street2
Inverness1
Saint1
Christopher1
Seville1
London1
Bermondsey1
Tube1
Met1
Tomás6
Herrera1
Morris2
Quinn7
persons
0"Saint"
1"Christopher"
2"Met"
3"Tomás"
4"Herrera"
5"Morris"
6"Quinn"
places
0"Camden"
1"High"
2"Street"
3"Inverness"
4"Seville"
5"London"
6"Bermondsey"
globalScore1
windowScore1
63.79% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount2
matches
0"looked like a knuckle bone, carved with a"
1"cloth that seemed to shimmer with its own weather"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1104
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences102
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean27.6
std24.76
cv0.897
sampleLengths
037
14
245
316
424
515
67
742
829
918
109
114
125
1365
1411
1531
1623
173
182
1912
2040
2111
2264
236
2437
2550
2636
271
2812
2949
304
3167
329
33106
3433
3576
3614
3715
383
3969
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences88
matches
0"been taught"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs159
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences102
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount980
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.02142857142857143
lyAdverbCount1
lyAdverbRatio0.0010204081632653062
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences102
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences102
mean10.82
std8.1
cv0.749
sampleLengths
013
124
24
33
427
515
67
79
824
915
107
114
1216
1317
144
151
163
1726
1814
194
209
214
225
2319
242
259
266
2717
283
299
3011
314
3216
337
344
3512
3611
373
382
3912
407
416
421
4315
4411
4511
463
4711
4830
4912
65.69% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4411764705882353
totalSentences102
uniqueOpeners45
84.39% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences79
matches
0"Somewhere a bell rang, a"
1"Then she let go of"
ratio0.025
88.35% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences79
matches
0"He didn't stop."
1"He vaulted a stack of"
2"She killed the volume."
3"Her leather watch strap, soaked"
4"His accent bent the vowels,"
5"He laughed, a short cracked"
6"She reached out."
7"Her fingertips brushed the sodden"
8"He twisted free and shoved"
9"It caught her thigh."
10"She went over it with"
11"She filed it away."
12"She locked the memory in"
13"He didn't turn around."
14"He dug into his collar,"
15"She caught a glimpse of"
16"It looked like a knuckle"
17"He ducked under it without"
18"She dropped to one knee,"
19"She held it there."
ratio0.329
67.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences79
matches
0"Quinn's boots slapped through it,"
1"He didn't stop."
2"He vaulted a stack of"
3"The Saint Christopher medallion swung"
4"Quinn hit the radio on"
5"Water ran down her jaw"
6"She killed the volume."
7"Her leather watch strap, soaked"
8"Tomás glanced back."
9"His accent bent the vowels,"
10"He laughed, a short cracked"
11"The alley stank of wet"
12"A fox scattered from a"
13"Tomás's shoes skidded on a"
14"She reached out."
15"Her fingertips brushed the sodden"
16"He twisted free and shoved"
17"It caught her thigh."
18"She went over it with"
19"Pain flared, bright and dull"
ratio0.785
63.29% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences79
matches
0"Even through the rain she"
ratio0.013
59.80% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount5
matches
0"Quinn's boots slapped through it, one stride behind the reflection of a man who ran faster than a former paramedic had any right to."
1"Even through the rain she saw his face, wide-eyed and slick, the face of a man who had rehearsed this moment and hated how it felt."
2"Bricks that should have been solid shifted with a low grinding hum, and a slot of yellow light opened at the base of the shutter, then widened, the steel rising…"
3"Beyond her, a man with too many rings on too many fingers unrolled a length of cloth that seemed to shimmer with its own weather."
4"Against that: Tomás Herrera, a man who had said Morris's name and meant it."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
32.35% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"she shouted (shout)"
1"she murmured (murmur)"
dialogueSentences17
tagDensity0.118
leniency0.235
rawRatio1
effectiveRatio0.235
89.6532%