Run: 2026-09-29-01M3P2CGX5CAE8SFBZ7KWWD24M

Run Details

Duration:
32.1s
Cost:
$0.033232
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 black glass. Quinn kept forty yards back, her collar up, her left wrist tucked against her ribs to keep the leather watch dry. Ahead, under the wash of a kebab shop's sign, Tomás Herrera walked with a medical bag slung over one shoulder and his head low. She had followed him from the Raven's Nest, through two bus changes and a wrong turn he made on purpose. He had checked the reflections in shop windows three times. He was good, but he was not a copper. A cab hissed past. Herrera glanced at its mirror, and his eyes found her. He ran. "Police! Herrera, stop!" The bag banged against his hip as he cut left across the road. A night bus blared its horn and swallowed him for a second. Quinn sprinted for the gap, planted a palm on the bus's wet flank and swung around the bumper. Her shoes slapped through a gutter that soaked her to the shin. "I only want to talk!" "Nobody runs from a talk!" The words broke off into a laugh. Herrera hadn't slowed. He took the canal bridge two steps at a time. Quinn followed, lungs burning, eighteen years of foot pursuits stacked in her knees. A crowd of smokers under a pub awning scattered as he shouldered through them. One dropped a pint. Glass burst on the pavement, and Quinn vaulted the spill without breaking stride. "Tommy!" She used the name the barman had used. "Tommy, you've got a licence problem, not a murder problem. Stop now and it stays that way!" He risked a look back. Rain plastered his curls flat to his forehead. The Saint Christopher medallion swung out from his open collar and caught the light. "You don't know what you're chasing," he shouted. "Then tell me." "I can't." He veered into a side street where the shopfronts gave way to shuttered arches and bricked-up windows. Puddles shivered under a dying streetlamp. Quinn's radio crackled on her shoulder. She thumbed it off without answering. Backup would mean paperwork, and paperwork would mean questions about why she'd tailed a man with no warrant and no partner. Morris would have answered the radio. Morris would have said *Harlow, this is stupid*, and then followed her anyway. She pushed harder. Herrera skidded on the slick cobbles, caught himself against a wall, and kept going. Twenty yards. Fifteen. She could hear his breath now, ragged, mixed with the drumming of rain on a corrugated roof. He'd slowed. His bag dragged at him. "Drop the bag," she called. "Drop it and turn around." "If I drop it, people die." "That's not a line I've heard before." "It's not a line!" The street dead-ended at a squat building of grimy tiles the colour of old teeth. A ghost sign faded across its face, and above the boarded doors, a roundel had peeled down to bare metal. An abandoned Tube station, sealed since before she joined the force. Steel shutters covered the entrance, chained and padlocked. Herrera didn't stop. He slammed a fist against the shutter in a rhythm, three quick, one slow, two quick. The shutter groaned up eighteen inches. Quinn closed the gap. Ten yards. Five. Yellow light spilled from the crack and turned the rain amber. A hand emerged, thick-fingered and knuckled with old scars, palm up. Herrera dug in his collar and pulled out a cord with something pale hanging from it. He pressed it into the waiting palm. A sliver of bone, yellowed and carved with a mark she couldn't read. "Herrera!" He turned. For a heartbeat, they stood there, him crouched at the gap, her ten feet away with her hand on the baton she hadn't drawn. Water ran off her chin. Her jaw ached from clenching. "Go home, Detective," he said. His voice cracked. "Please. Whatever you think this is, it's worse. And it's not built for people like you." "People like me." "People who don't get to come back up." He ducked under the shutter and vanished. The hand didn't withdraw. It stayed where it was, open, patient, and then pointed at her. The fingers curled once. *Token.* Quinn stopped at the edge of the light. "I don't have one," she said. Silence answered from the dark beneath the shutter. Something down there breathed, a slow rhythmic draw, too large for the gap. Warm air rolled out and carried smells that had no business in a Camden side street: burnt sugar, wet iron, something like sage smouldering on a hot stone. Underneath came a murmur of voices, a hundred conversations pitched low, and a note of music played on an instrument she couldn't name. The hand tapped the pavement twice. Waiting. Quinn's radio crackled again. She let it. She thought about the file in her car, three years thick. Morris's last known address. The warehouse in Deptford, the blood that pooled and then, according to the forensics team, wasn't there. The coroner's shrug. The Superintendent's kind, closed face. *Let it go, Harlow.* She had not. She thought about her pension. Her record. The reasonable, sensible choice: retreat to the car, call it in, come back at dawn with a warrant and six uniforms, and find a bricked-up station with cobwebs across the door. That was how it always went. Every lead she'd chased for three years had dissolved at daybreak. "What's down there?" she asked. The hand said nothing. The shutter shuddered, dropping an inch. The gap narrowed toward closing. "Answer me." Somewhere beneath her feet, a bell tolled once, a low sound she felt in her sternum before she heard it. The rain paused, or seemed to. Every drop hung in the air a beat too long before it resumed falling. Quinn drew a breath and held it. The baton felt light in her grip. Her badge felt lighter. Whatever waited beneath this street didn't care about either, and she had no map, no backup, no token and no partner. But Herrera was down there with a bag of something that kept people alive or got them killed. Somewhere in the dark, in the amber and the smoke, sat the answer to why Morris had vanished. She counted the inches left in the gap. Twelve. Ten. "Bugger it," she muttered. She sprinted the last five yards, dropped to her knees on the wet concrete and slid under the shutter as it came down. Steel scraped her shoulder and tore her coat. The hand caught her by the collar, lifted her a full inch off the ground and held her there, and a face she couldn't quite see leaned close in the smoky half-light. "Your funeral," it rumbled. Behind her, the shutter slammed shut.
created_at"2026-09-29T07:52:05.804Z" 9/29/2026, 7:52:05 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3795
moderation_latency(null)
generation_time32049
tokens_prompt1104
tokens_completion1905
native_tokens_prompt1576
native_tokens_completion3008
native_tokens_completion_images(null)
native_tokens_reasoning724
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"
usage0.033232
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668325-skMJAN6a2hrZ6YXfSJQk"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668325-4PUcclP8WkTSQ2foqFik"
upstream_id"msg_011CfXNGL6oajP499oFJqEZ7"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNGL6oajP499oFJqEZ7"
is_byokfalse
latency734
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.033232
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)
dialogueSentences23
tagDensity0.391
leniency0.783
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1126
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)
86.68% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1126
totalAiIsms3
found
0
word"clenching"
count1
1
word"silence"
count1
2
word"rhythmic"
count1
highlights
0"clenching"
1"silence"
2"rhythmic"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences110
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences110
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences124
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords9
totalWords1126
ratio0.008
matches
0"Harlow, this is stupid"
1"Token."
2"Let it go, Harlow."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount1015
uniqueNames15
maxNameDensity0.89
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
High1
Street1
Tomás1
Herrera7
Raven1
Nest1
Quinn9
Saint1
Christopher1
Tube1
Silence1
Deptford1
Superintendent1
Morris4
persons
0"Tomás"
1"Herrera"
2"Quinn"
3"Saint"
4"Christopher"
5"Silence"
6"Superintendent"
7"Morris"
places
0"Camden"
1"High"
2"Street"
3"Raven"
4"Deptford"
globalScore1
windowScore1
75.37% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount2
matches
0"something like sage smouldering on a hot sto"
1"quite see leaned close in the smoky half-light"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1126
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences124
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs54
mean20.85
std19.4
cv0.93
sampleLengths
057
139
214
32
43
555
65
715
854
926
1027
118
123
132
1456
1519
163
1741
1810
196
207
214
2254
2319
246
2529
2636
271
2836
2924
303
318
327
3321
348
356
3672
377
387
3944
403
4138
4217
435
4415
452
4640
4739
4836
4910
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences110
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs189
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences124
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1020
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.01764705882352941
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences124
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences124
mean9.08
std6.84
cv0.754
sampleLengths
012
121
224
320
410
59
64
710
82
93
1013
1112
1218
1312
145
1512
163
1710
1813
1914
204
2113
229
2317
245
258
2614
278
283
292
3017
316
326
336
3421
356
3613
373
3814
392
401
4117
422
435
445
455
466
477
484
4915
63.71% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.43548387096774194
totalSentences124
uniqueOpeners54
73.26% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences91
matches
0"Somewhere beneath her feet, a"
1"Somewhere in the dark, in"
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences91
matches
0"She had followed him from"
1"He had checked the reflections"
2"He was good, but he"
3"Her shoes slapped through a"
4"He took the canal bridge"
5"She used the name the"
6"He risked a look back."
7"He veered into a side"
8"She thumbed it off without"
9"She pushed harder."
10"She could hear his breath"
11"His bag dragged at him."
12"He slammed a fist against"
13"He pressed it into the"
14"Her jaw ached from clenching."
15"His voice cracked."
16"He ducked under the shutter"
17"It stayed where it was,"
18"She let it."
19"She thought about the file"
ratio0.275
25.93% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences91
matches
0"Quinn kept forty yards back,"
1"She had followed him from"
2"He had checked the reflections"
3"He was good, but he"
4"A cab hissed past."
5"Herrera glanced at its mirror,"
6"The bag banged against his"
7"A night bus blared its"
8"Quinn sprinted for the gap,"
9"Her shoes slapped through a"
10"The words broke off into"
11"Herrera hadn't slowed."
12"He took the canal bridge"
13"Quinn followed, lungs burning, eighteen"
14"A crowd of smokers under"
15"Glass burst on the pavement,"
16"She used the name the"
17"He risked a look back."
18"Rain plastered his curls flat"
19"The Saint Christopher medallion swung"
ratio0.868
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences91
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount2
matches
0"Warm air rolled out and carried smells that had no business in a Camden side street: burnt sugar, wet iron, something like sage smouldering on a hot stone."
1"The warehouse in Deptford, the blood that pooled and then, according to the forensics team, wasn't there."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
63.04% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"he shouted (shout)"
1"she muttered (mutter)"
dialogueSentences23
tagDensity0.261
leniency0.522
rawRatio0.333
effectiveRatio0.174
89.6000%