Run: 2026-07-01-01KWE9SBG74AWTYMAA338JYJV2

Run Details

Duration:
33.8s
Cost:
$0.023758
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 came down in sheets that turned the sodium streetlights into smeared orange bruises against the dark, and Harlow Quinn's boots hit the pavement hard enough to jar her teeth as she rounded the corner off Camden High Street. The suspect had maybe thirty feet on her, a lean shape in a grey hoodie cutting between a shuttered kebab shop and a skip overflowing with bin bags. "Police! Stop!" He didn't stop. Of course he didn't stop. Nobody ever stopped when she said that, not in eighteen years, and she'd learned to save her breath for running instead of shouting into the wind. Her radio crackled against her hip, static chewing up whatever Sergeant Wexley was trying to tell her. She'd catch it later. Right now all that mattered was the grey hoodie splashing through puddles, vaulting a low fence with an ease that made her professional instincts prickle. People who ran from her usually ran clumsy, panicked, arms flailing. This one moved like water finding the fastest way downhill. She followed him through a gap in the fence that tore at her coat sleeve, into the maze of service alleys behind the market stalls, their canvas awnings sagging under the weight of the rain. Her lungs burned. Forty-one wasn't old, not by half, but eighteen years of shift work and vending machine dinners had a way of catching up on a body during moments like this. "You're only making this worse for yourself," she called out, which was a lie, technically, since she still didn't know what he'd actually done beyond bolt the second she flashed her warrant card outside that grimy pub on Bayham Street. But it usually worked. Fear had a way of making people stupid, made them stop and put their hands up. He didn't stop. He dropped down a set of stone steps she hadn't even noticed, half-hidden behind a stack of collapsed market stalls, steps that led down into the dark like the throat of something patient. Quinn skidded to the top of them, breath ragged, rain running in rivulets down the back of her collar. Below, a rusted iron gate hung open on one hinge, and past it she could just make out old cream-and-maroon tiles catching the little available light. Tube tiles. This was one of the abandoned stations, the ones sealed off after the war, the ones that showed up on no map she'd ever been issued. The grey hoodie disappeared through the gate. Quinn's hand found her torch, then her radio again, thumbing the switch. Static, then a garbled fragment of Wexley's voice, then nothing. No signal down here, evidently. She should wait. She should call for backup, mark the location, do this by the book the way she'd done everything by the book for eighteen years, the way that had gotten her a commendation and a dead partner in the same twelve months. She thought of Morris, briefly, the way she always did in moments like this — a flicker of his face in the dark, the smell of his aftershave, the sound he'd made right before he stopped making sounds at all. Three years and she still didn't have an explanation the coroner's report would print. Rain dripped off the end of her nose. She wiped it away. "Sod it," she muttered, and went down the steps. The gate groaned when she pushed it wider, hinges shrieking with disuse, and the sound seemed to travel a long way into the dark ahead of her. The air changed the moment she crossed the threshold — warmer, thicker, carrying a smell like woodsmoke and something metallic underneath it, copper maybe, or old pennies left too long in a damp pocket. Her torch beam swept across a platform edge, tracks long since ripped up, the tiled walls curving away into a tunnel choked with hanging lanterns that swayed though there was no wind to move them. Music drifted up from somewhere further in — not quite music, more a rhythm, drums maybe, or something like drums played on materials that weren't skin and wood. The grey hoodie was gone. But the tunnel wasn't empty. Figures moved between makeshift stalls built from old ticket booths and repurposed shop fittings, their faces catching odd colours from lanterns that burned green and violet and a red that looked wrong, too saturated, like something out of a filter rather than a flame. A woman with skin the texture of tree bark examined a rack of small bottles. A man — if he was a man — stood eight feet tall in the shadows near a support pillar, folded in on himself like he was trying to take up less space than his body demanded. Quinn's hand drifted to her hip, found the reassuring shape of her sidearm beneath her coat, though some old cop instinct told her a gun wasn't going to mean much down here. Someone near the nearest stall noticed her. A woman in a patchwork coat, eyes too pale, too still, tracking Quinn's badge where it hung visible on her belt. "You'll want a token," the woman, "before you go wandering." "I'm looking for someone. Grey hoodie. Came through here thirty seconds ago." "Lots of grey down here tonight." The woman's smile didn't reach her strange eyes. "Lots of hoodies too." Quinn's jaw tightened. Eighteen years of instinct screamed at her that this was the point in the operation where you called it in, established containment, waited for support before proceeding into unknown territory with unknown numbers of unknown hostiles. Eighteen years of instinct had never had to account for a market that smelled like it existed sideways to the rest of London, for lanterns that swayed without wind, for a woman with eyes like still water. Further down the tunnel, past the stalls, she caught a flash of grey ducking behind a hanging curtain of what looked like animal hide. She could go back. Climb the stairs, stand in the rain, wait for signal to return, wait for backup that would take twenty minutes at best to arrive at a location she could barely describe in a radio call without sounding like she'd lost her mind three years too late, right on schedule. Or she could keep running. Quinn stepped past the woman in the patchwork coat, ignoring the way the woman's smile widened like she'd expected exactly this, and broke back into a run down the tunnel, torch beam swinging wild across tiled walls that had not seen a train pass through them in the better part of a century.
created_at"2026-07-01T07:37:38.068Z" 7/1/2026, 7:37:38 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2050
moderation_latency(null)
generation_time33748
tokens_prompt1140
tokens_completion1604
native_tokens_prompt1574
native_tokens_completion2061
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.023758
router(null)
provider_responses
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endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_01KSAh5vtumrXBLzJwD9ZDxm"
is_byokfalse
latency2050
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-1782891458-t7kzHw2fLpkw3qzNcWmF"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782891458-UkHmtvRZw2yMy36X4Hj9"
upstream_id"msg_01KSAh5vtumrXBLzJwD9ZDxm"
total_cost0.023758
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences7
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1095
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)
90.87% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1095
totalAiIsms2
found
0
word"weight"
count1
1
word"flicker"
count1
highlights
0"weight"
1"flicker"
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
narrationSentences55
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences55
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences58
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen53
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1100
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount1059
uniqueNames10
maxNameDensity0.66
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn7
Camden1
High1
Street2
Sergeant1
Wexley2
Bayham1
Morris1
London1
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Wexley"
4"Morris"
places
0"Camden"
1"High"
2"Street"
3"Bayham"
4"London"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount3
matches
0"something like drums played on materials tha"
1"not quite music, more a rhythm, drums maybe, or something like drums played on materials that weren't skin and wood"
2"smelled like it existed sideways to the re"
3"looked like animal hide"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.909
wordCount1100
matches
0"not by half, but eighteen years of shift work"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences58
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean39.29
std27.49
cv0.7
sampleLengths
067
12
234
367
467
560
63
752
854
97
1071
1154
1212
139
1461
1563
165
17101
1832
1928
2010
2112
2218
2376
2424
2553
265
2753
92.50% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences55
matches
0"been issued"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs168
matches
0"was trying"
1"was trying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences58
ratio0.069
matches
0"She thought of Morris, briefly, the way she always did in moments like this — a flicker of his face in the dark, the smell of his aftershave, the sound he'd made right before he stopped making sounds at all."
1"The air changed the moment she crossed the threshold — warmer, thicker, carrying a smell like woodsmoke and something metallic underneath it, copper maybe, or old pennies left too long in a damp pocket."
2"Music drifted up from somewhere further in — not quite music, more a rhythm, drums maybe, or something like drums played on materials that weren't skin and wood."
3"A man — if he was a man — stood eight feet tall in the shadows near a support pillar, folded in on himself like he was trying to take up less space than his body demanded."
92.82% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1058
adjectiveStacks0
stackExamples(empty)
adverbCount51
adverbRatio0.048204158790170135
lyAdverbCount8
lyAdverbRatio0.007561436672967864
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences58
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences58
mean18.97
std14.37
cv0.758
sampleLengths
039
128
22
33
45
526
617
74
825
911
1010
1135
123
1329
1440
154
1616
173
1833
1919
2026
212
2226
237
2412
2510
265
273
2841
2940
3014
318
324
339
3427
3534
3635
3728
385
395
4044
4115
4237
4332
447
4521
4610
4712
4814
494
79.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.5517241379310345
totalSentences58
uniqueOpeners32
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences53
matches
0"Of course he didn't stop."
1"Further down the tunnel, past"
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences53
matches
0"He didn't stop."
1"Her radio crackled against her"
2"She'd catch it later."
3"She followed him through a"
4"Her lungs burned."
5"she called out, which was"
6"He didn't stop."
7"He dropped down a set"
8"She should wait."
9"She should call for backup,"
10"She thought of Morris, briefly,"
11"She wiped it away."
12"she muttered, and went down"
13"Her torch beam swept across"
14"She could go back."
ratio0.283
82.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences53
matches
0"Rain came down in sheets"
1"The suspect had maybe thirty"
2"He didn't stop."
3"Nobody ever stopped when she"
4"Her radio crackled against her"
5"She'd catch it later."
6"People who ran from her"
7"This one moved like water"
8"She followed him through a"
9"Her lungs burned."
10"she called out, which was"
11"Fear had a way of"
12"He didn't stop."
13"He dropped down a set"
14"Quinn skidded to the top"
15"This was one of the"
16"The grey hoodie disappeared through"
17"Quinn's hand found her torch,"
18"Static, then a garbled fragment"
19"She should wait."
ratio0.755
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences53
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount8
matches
0"Rain came down in sheets that turned the sodium streetlights into smeared orange bruises against the dark, and Harlow Quinn's boots hit the pavement hard enough…"
1"Right now all that mattered was the grey hoodie splashing through puddles, vaulting a low fence with an ease that made her professional instincts prickle."
2"She followed him through a gap in the fence that tore at her coat sleeve, into the maze of service alleys behind the market stalls, their canvas awnings sagging…"
3"He dropped down a set of stone steps she hadn't even noticed, half-hidden behind a stack of collapsed market stalls, steps that led down into the dark like the …"
4"She should call for backup, mark the location, do this by the book the way she'd done everything by the book for eighteen years, the way that had gotten her a c…"
5"Figures moved between makeshift stalls built from old ticket booths and repurposed shop fittings, their faces catching odd colours from lanterns that burned gre…"
6"Eighteen years of instinct had never had to account for a market that smelled like it existed sideways to the rest of London, for lanterns that swayed without w…"
7"Quinn stepped past the woman in the patchwork coat, ignoring the way the woman's smile widened like she'd expected exactly this, and broke back into a run 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 called out (call out)"
1"she muttered (mutter)"
dialogueSentences7
tagDensity0.286
leniency0.571
rawRatio1
effectiveRatio0.571
81.2906%