Run: 2026-07-01-01KWE9XYRX5BXBJ49NTZJRM591

Run Details

Duration:
36.7s
Cost:
$0.025668
Provider:
Amazon Bedrock

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 the pavement outside the Raven's Nest, turning Soho's cobblestones into black mirrors that fractured the green neon overhead. Quinn's boots hit the wet stone hard, each footfall echoing off brick walls slick with three weeks of unbroken London drizzle. Ahead of her, a figure in a grey hoodie cut left down an alley too narrow for cars, and she followed without breaking stride. "Stop! Police!" The words meant nothing to whoever this was. They never did anymore, not since she'd started chasing things that didn't bleed the way people should. The suspect—she'd only caught the edge of his face outside the bar, enough to know he wasn't one of Herrera's usual crowd—vaulted a low fence with an ease that made her chest tighten. Nobody moved like that after three flights of stairs and a half-mile sprint. She followed anyway, palms scraping brick as she hauled herself over, jacket catching on a rusted nail that tore a six-inch gash through the leather. Bloody hell. The alley spat them out onto Camden High Street, where the rain had driven even the die-hard punks indoors. Neon signs bled color into puddles. Quinn caught a flash of grey hoodie ducking into the mouth of Camden Town station, already closed for the night, chain looped through the gate. The chain hung open. Cut, not picked. She slowed at the threshold, breath ragged, watch face fogged with condensation when she checked the time out of habit. Eleven forty-three. Morris used to tease her about that watch, said a woman who could read a crime scene in nine seconds flat didn't need to know the exact minute she was standing in it. Morris wasn't around to tease her about anything anymore. Quinn ducked through the gap in the chain-link gate, into the abandoned station's ticket hall. Dust motes hung suspended in shafts of streetlight filtering through grime-caked windows. Old advertisement boards curled at the edges, faded posters for products discontinued before she'd made detective. Her torch beam cut through the dark, found nothing but pigeon droppings and a rat that scattered toward the escalators. The escalators weren't running, hadn't run in a decade if the corrosion on the metal steps meant anything. But someone had been walking them recently—she could see it in the way the dust pattern broke, footprints heading down into the black mouth of the platform level. "This is Detective Quinn, Metropolitan Police," she called out, voice flat against the tiled walls. "I know you're down there." No answer. Just the drip of water finding its way through cracks in the ceiling, plotting a path to the tracks below. She started down the escalator steps, torch beam bouncing off tile advertisements from the eighties, and the air changed around the third landing. Warmer. Wrong. It smelled of copper and clove and something underneath that reminded her of the morgue, though nothing so clean as formaldehyde. The platform level opened up ahead, and Quinn's torch beam caught the edge of something that made her stop cold. Lantern light. Real fire, not electric, casting orange across a crowd of shapes that definitely weren't waiting for the last train. She'd heard whispers about this. Croft in Vice had mentioned something two years back, before he'd put in for early retirement and moved to Cornwall without so much as a goodbye pint. An underground market, he'd said, the kind of thing you don't report because nobody above your pay grade wants to hear it. She'd filed it under Croft-losing-his-marbles and moved on. Now the smell of clove and copper filled her throat, and the sound of bartering in half a dozen languages—some she recognized, some she'd swear weren't human—drifted up from the tunnel where the tracks should have been. Her hoodied suspect had vanished into that crowd like smoke into fog. Quinn's hand found her sidearm, more for the comfort of the weight than any real plan to use it. Eighteen years on the force had taught her plenty about knowing when to call for backup, when a scene had grown too big for one detective and a torch. Every instinct honed since her first day walking a beat screamed at her to climb back up those broken escalators, radio it in, let someone else's problem become this problem. But backup meant explaining what she'd seen. Explaining meant a psych eval, maybe worse. She thought of Morris, three years gone, the case notes she still kept locked in her bottom desk drawer because nobody had ever given her an answer that made sense. A witness who swore the attacker had no shadow. A crime scene with frost on the walls in the height of July. She'd buried those details in bureaucratic language thick enough that nobody upstairs ever questioned the official cause of death, and she'd carried the real questions alone ever since. If this market held answers, she wasn't walking away from it for the sake of protocol. Quinn checked her weapon, confirmed the extra clip in her jacket pocket, and let out a slow breath that fogged in front of her face despite the odd warmth radiating from below. The temperature down here didn't behave the way temperature should, and that fact alone told her everything about how far outside the manual this was about to go. "In for a penny," she muttered, echo swallowing the words before they'd finished leaving her mouth. She started down the last stretch of broken escalator, torch beam angled low so as not to announce her arrival to the crowd below. Whatever waited in that tunnel—whoever her suspect had run to, whatever this Veil Market truly was—she intended to walk out the other side with answers. Eighteen years of decorated service had taught her to trust the evidence over her fear, and every instinct she owned told her the evidence lived down here, in the dark, among people who didn't cast shadows and cases that froze in July. The platform edge came into view, and beyond it, the market sprawled through the old tunnel like a wound that had learned to breathe. Stalls built from salvaged train parts. Lantern light catching on scales, on too-sharp teeth, on eyes that reflected wrong in the dark. Quinn stepped off the last broken stair, onto the platform, and let the market swallow her whole.
created_at"2026-07-01T07:40:08.872Z" 7/1/2026, 7:40:08 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4582
moderation_latency(null)
generation_time36688
tokens_prompt1140
tokens_completion1689
native_tokens_prompt1574
native_tokens_completion2252
native_tokens_completion_images(null)
native_tokens_reasoning91
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"
usage0.025668
router(null)
provider_responses
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endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_01GKmYmmN4nNhj9PWaeLFaFg"
is_byokfalse
latency1871
model_permaslug"anthropic/claude-sonnet-5-20260630"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.17.0; linux; x64))"
http_referer(null)
request_id"req-1782891608-9PduZ3qursq9OmXNkb1V"
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api_type"completions"
id"gen-1782891608-17RoCQjDCy2Q8KP84Gpc"
upstream_id"msg_01GKmYmmN4nNhj9PWaeLFaFg"
total_cost0.025668
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
95.28% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1060
totalAiIsmAdverbs1
found
0
adverb"truly"
count1
highlights
0"truly"
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)
66.98% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1060
totalAiIsms7
found
0
word"fractured"
count1
1
word"footfall"
count1
2
word"echoing"
count1
3
word"electric"
count1
4
word"weight"
count1
5
word"warmth"
count1
6
word"echo"
count1
highlights
0"fractured"
1"footfall"
2"echoing"
3"electric"
4"weight"
5"warmth"
6"echo"
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
narrationSentences60
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences60
filterMatches(empty)
hedgeMatches
0"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences62
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1053
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount1036
uniqueNames17
maxNameDensity0.68
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Camden"
discoveredNames
Raven1
Nest1
Soho1
London1
Herrera1
Camden2
High1
Street1
Town1
Quinn7
Vice1
Cornwall1
Croft-losing-his-marbles1
Morris3
July2
Veil1
Market1
persons
0"Nest"
1"Herrera"
2"Quinn"
3"Morris"
4"Market"
places
0"Raven"
1"Soho"
2"London"
3"Camden"
4"High"
5"Street"
6"Town"
7"Cornwall"
8"July"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1053
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences62
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean39
std26.87
cv0.689
sampleLengths
065
12
225
371
42
550
67
755
89
963
1046
1120
1222
1346
1420
1521
1662
1737
1812
1978
2094
2116
2260
2316
2491
2546
2617
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences60
matches(empty)
38.38% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs165
matches
0"was standing"
1"weren't running"
2"weren't waiting"
3"wasn't walking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences4
totalSentences62
ratio0.065
matches
0"The suspect—she'd only caught the edge of his face outside the bar, enough to know he wasn't one of Herrera's usual crowd—vaulted a low fence with an ease that made her chest tighten."
1"But someone had been walking them recently—she could see it in the way the dust pattern broke, footprints heading down into the black mouth of the platform level."
2"Now the smell of clove and copper filled her throat, and the sound of bartering in half a dozen languages—some she recognized, some she'd swear weren't human—drifted up from the tunnel where the tracks should have been."
3"Whatever waited in that tunnel—whoever her suspect had run to, whatever this Veil Market truly was—she intended to walk out the other side with answers."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1053
adjectiveStacks1
stackExamples
0"under Croft-losing-his-"
adverbCount27
adverbRatio0.02564102564102564
lyAdverbCount7
lyAdverbRatio0.006647673314339981
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences62
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences62
mean16.98
std10.09
cv0.594
sampleLengths
020
121
224
32
48
517
633
713
825
92
1019
116
1225
134
143
1520
162
1733
189
1915
2012
2116
2220
2318
2428
2515
265
272
2820
2923
301
311
3221
3320
342
3519
365
3727
3822
398
4037
4112
4219
4329
4430
457
467
4730
489
4913
96.24% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5967741935483871
totalSentences62
uniqueOpeners37
61.73% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences54
matches
0"Just the drip of water"
ratio0.019
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences54
matches
0"They never did anymore, not"
1"She followed anyway, palms scraping"
2"She slowed at the threshold,"
3"Her torch beam cut through"
4"she called out, voice flat"
5"She started down the escalator"
6"It smelled of copper and"
7"She'd heard whispers about this."
8"She'd filed it under Croft-losing-his-marbles"
9"Her hoodied suspect had vanished"
10"She thought of Morris, three"
11"She'd buried those details in"
12"she muttered, echo swallowing the"
13"She started down the last"
ratio0.259
80.37% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences54
matches
0"Quinn's boots hit the wet"
1"The words meant nothing to"
2"They never did anymore, not"
3"The suspect—she'd only caught the"
4"Nobody moved like that after"
5"She followed anyway, palms scraping"
6"The alley spat them out"
7"Neon signs bled color into"
8"Quinn caught a flash of"
9"The chain hung open."
10"She slowed at the threshold,"
11"Morris used to tease her"
12"Morris wasn't around to tease"
13"Quinn ducked through the gap"
14"Dust motes hung suspended in"
15"Her torch beam cut through"
16"The escalators weren't running, hadn't"
17"she called out, voice flat"
18"She started down the escalator"
19"It smelled of copper and"
ratio0.759
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences54
matches
0"Now the smell of clove"
1"If this market held answers,"
ratio0.037
57.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount5
matches
0"Rain hammered the pavement outside the Raven's Nest, turning Soho's cobblestones into black mirrors that fractured the green neon overhead."
1"The suspect—she'd only caught the edge of his face outside the bar, enough to know he wasn't one of Herrera's usual crowd—vaulted a low fence with an ease that …"
2"The platform level opened up ahead, and Quinn's torch beam caught the edge of something that made her stop cold."
3"Quinn checked her weapon, confirmed the extra clip in her jacket pocket, and let out a slow breath that fogged in front of her face despite the odd warmth radia…"
4"Lantern light catching on scales, on too-sharp teeth, on eyes that reflected wrong in the dark."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"she called out, voice flat against the tiled walls"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"she called out (call out)"
1"she muttered (mutter)"
dialogueSentences4
tagDensity0.5
leniency1
rawRatio1
effectiveRatio1
83.0269%