Run: 2026-07-01-01KWE8SS8V3D47CXV82BV5V46Y

Run Details

Duration:
31.9s
Cost:
$0.022658
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 a mess of black mirrors. Detective Harlow Quinn caught sight of him the moment he ducked out the side door—tall, hooded, moving with the kind of purposeful calm that told her he'd made her already. "Oi! Stop, police!" He didn't stop. He ran. Quinn swore and went after him, boots slapping through puddles, the neon glow of the bar's sign smearing green across her vision as she passed beneath it. Eighteen years on the force had taught her plenty about runners—amateurs sprinted in straight lines, professionals cut corners, and the smart ones used the city like a maze they'd already memorized. This one ducked left into an alley that Quinn hadn't even noticed was there, and she followed on instinct alone. Her coat clung to her shoulders, heavy with rain. Somewhere behind her a car horn blared, distant and useless. She kept her eyes on the hood bobbing ahead, on the flash of pale hands as he vaulted a low fence like it wasn't even there. "You're making this worse for yourself," she called out, though she didn't believe he was listening. The alley spat them both out onto a side street she didn't recognize, one of those forgotten London corners that existed only for delivery vans and bin collections. He was fast. Faster than he had any right to be, given how long she'd been chasing him now—six minutes, maybe seven, and her lungs were beginning to burn in that old, familiar way. Then he did something strange. He dropped down a set of stairs she hadn't seen, stairs that led to a Tube entrance boarded up with rusted grates and a faded sign reading Camden Town, the letters chipped and half-swallowed by ivy. Quinn skidded to a halt at the top, rain running down her collar, staring at the darkness below. That station had been closed for a decade. She knew that much—everyone who'd grown up in London knew the dead stations, the ones nobody talked about because talking about them felt like inviting something. "Come out of there," she said, though her voice sounded thinner than she meant it to. "There's nowhere to go." No answer. Just the drip of water off the grate, and somewhere below, footsteps. Quinn's hand found the grip of her sidearm without her telling it to. She thought of Morris—the way his voice had cracked over the radio three years ago, the static that ate his last words before she'd found nothing left of him at all, not even enough to bury properly. She'd told herself for three years that there was a rational explanation. She still told herself that. It was easier than the alternative. She went down the stairs. The grate had been forced open, its rusted chain snapped clean, and beyond it the old station breathed out air that smelled of damp stone and something sweeter underneath—incense, maybe, or something like it. Emergency lighting, sickly amber, ran along a wall further down, far more light than an abandoned station should have. That alone told her everything she needed to know. Nothing about this was abandoned. "Metropolitan Police," she said, mostly for her own benefit, and stepped through. The platform beyond didn't match any Tube station she'd ever seen. Stalls lined the old rails, cobbled together from packing crates and salvaged shopfronts, hung with lanterns that burned an unnatural blue-green. A woman with silver eyes weighed something in a brass scale that ticked without any visible mechanism. A boy no older than twelve sold vials of liquid that moved like they were alive, twisting against the glass. The air itself buzzed, like standing too close to a pylon. Quinn's suspect had vanished into the crowd. She scanned faces—too many faces, more people crammed into this station than should have fit, all of them moving with the unhurried confidence of regulars, people who belonged here in a way she very much did not. A man near a stall of bones glanced at her badge, still clipped to her belt, and his expression didn't so much as flicker. That unsettled her more than if he'd run. "You lot don't seem surprised to see the police," she said to no one, mostly to hear something in her own voice that sounded like control. She caught a flash of the hood again, near a stall selling what looked like teeth strung on wire, and pushed forward. Someone's shoulder collided with hers—cold, colder than skin should be, though it was gone before she could turn and confirm what she'd felt. Another vendor called out prices in a language she didn't recognize, all clicks and sighs. Her radio was dead. Of course it was dead. She hadn't expected otherwise, not really, not once she'd seen those stairs. This was the moment. She knew it the way she knew the weight of her weapon, the way she knew the particular ache in her knees before rain. She could turn around right now, climb back up into the world that made sense, write the whole night off as a lead gone cold. Nobody would ever know she'd stood at the edge of this and walked away. But Morris had walked into something like this, hadn't he. Some version of this. And she had spent three years chasing the shape of his absence through case files that led nowhere, through witnesses who changed their stories, through nights just like this one where the ordinary city split open at the seams and showed her something underneath that she'd trained herself not to see. The hooded man glanced back once, from twenty feet away, and Quinn saw his eyes catch the lantern light wrong—too bright, too knowing—before he slipped between two stalls and was gone again. She went after him. Her boots found the platform's edge, old and cracked, and beneath the amber light she caught her own reflection in a broken window—tired eyes, soaked hair, a woman eighteen years into a career that had never once prepared her for a market that sold living liquid and teeth on wire. She adjusted her grip on her weapon, more from habit than any real belief it would help her here, and kept walking, deeper into the market, deeper into whatever came next.
created_at"2026-07-01T07:20:23.633Z" 7/1/2026, 7:20:23 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1682
moderation_latency(null)
generation_time31874
tokens_prompt1140
tokens_completion1563
native_tokens_prompt1574
native_tokens_completion1951
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"
usage0.022658
router(null)
provider_responses
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endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_01Eas1rPRUjqS7gc6MwfSCw8"
is_byokfalse
latency1682
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-1782890423-QrY9ALfD7xDO4R5cMENC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782890423-EPyF9Zz1k3KtS1gkCAv8"
upstream_id"msg_01Eas1rPRUjqS7gc6MwfSCw8"
total_cost0.022658
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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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.667
leniency1
rawRatio0
effectiveRatio0
90.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1063
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"really"
count1
highlights
0"very"
1"really"
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)
71.78% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1063
totalAiIsms6
found
0
word"familiar"
count1
1
word"footsteps"
count1
2
word"scanned"
count1
3
word"flicker"
count1
4
word"unsettled"
count1
5
word"weight"
count1
highlights
0"familiar"
1"footsteps"
2"scanned"
3"flicker"
4"unsettled"
5"weight"
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
hedgeCount0
narrationSentences60
filterMatches(empty)
hedgeMatches(empty)
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
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1052
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount1024
uniqueNames10
maxNameDensity0.68
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Soho1
Harlow1
Quinn7
London2
Tube2
Camden1
Town1
Morris2
persons
0"Nest"
1"Harlow"
2"Quinn"
3"Morris"
places
0"Raven"
1"Soho"
2"London"
3"Tube"
4"Camden"
5"Town"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences47
glossingSentenceCount5
matches
0"felt like inviting something"
1"something like it"
2"sounded like control"
3"looked like teeth strung on wire, and pus"
4"something like this, hadn't he"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1052
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences62
matches
0"knew that much"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean38.96
std27.48
cv0.705
sampleLengths
047
13
25
378
445
516
662
75
854
934
1020
1114
1273
135
1467
1512
1680
177
1869
1926
2060
2121
2267
2365
2432
254
2681
81.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences60
matches
0"been closed"
1"been forced"
2"was gone"
3"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs181
matches
0"was listening"
1"were beginning"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences10
totalSentences62
ratio0.161
matches
0"Detective Harlow Quinn caught sight of him the moment he ducked out the side door—tall, hooded, moving with the kind of purposeful calm that told her he'd made her already."
1"Eighteen years on the force had taught her plenty about runners—amateurs sprinted in straight lines, professionals cut corners, and the smart ones used the city like a maze they'd already memorized."
2"Faster than he had any right to be, given how long she'd been chasing him now—six minutes, maybe seven, and her lungs were beginning to burn in that old, familiar way."
3"She knew that much—everyone who'd grown up in London knew the dead stations, the ones nobody talked about because talking about them felt like inviting something."
4"She thought of Morris—the way his voice had cracked over the radio three years ago, the static that ate his last words before she'd found nothing left of him at all, not even enough to bury properly."
5"The grate had been forced open, its rusted chain snapped clean, and beyond it the old station breathed out air that smelled of damp stone and something sweeter underneath—incense, maybe, or something like it."
6"She scanned faces—too many faces, more people crammed into this station than should have fit, all of them moving with the unhurried confidence of regulars, people who belonged here in a way she very much did not."
7"Someone's shoulder collided with hers—cold, colder than skin should be, though it was gone before she could turn and confirm what she'd felt."
8"The hooded man glanced back once, from twenty feet away, and Quinn saw his eyes catch the lantern light wrong—too bright, too knowing—before he slipped between two stalls and was gone again."
9"Her boots found the platform's edge, old and cracked, and beneath the amber light she caught her own reflection in a broken window—tired eyes, soaked hair, a woman eighteen years into a career that had never once prepared her for a market that sold living liquid and teeth on wire."
96.19% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1037
adjectiveStacks0
stackExamples(empty)
adverbCount46
adverbRatio0.044358727097396335
lyAdverbCount6
lyAdverbRatio0.0057859209257473485
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
mean16.97
std11.93
cv0.703
sampleLengths
017
130
23
33
42
527
631
720
89
910
1026
1116
1228
133
1431
155
1636
1718
188
1926
2016
214
222
2312
2413
2537
2612
275
286
295
3034
3119
329
335
3412
3511
3621
3717
3820
3911
407
4137
4224
438
4426
4522
4623
4715
484
495
77.96% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.5161290322580645
totalSentences62
uniqueOpeners32
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences58
matches
0"Somewhere behind her a car"
1"Then he did something strange."
2"Just the drip of water"
3"Of course it was dead."
ratio0.069
54.48% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences58
matches
0"He didn't stop."
1"Her coat clung to her"
2"She kept her eyes on"
3"she called out, though she"
4"He was fast."
5"He dropped down a set"
6"She knew that much—everyone who'd"
7"she said, though her voice"
8"She thought of Morris—the way"
9"She'd told herself for three"
10"She still told herself that."
11"It was easier than the"
12"She went down the stairs."
13"she said, mostly for her"
14"She scanned faces—too many faces,"
15"she said to no one,"
16"She caught a flash of"
17"Her radio was dead."
18"She hadn't expected otherwise, not"
19"She knew it the way"
ratio0.414
37.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences58
matches
0"Detective Harlow Quinn caught sight"
1"He didn't stop."
2"Quinn swore and went after"
3"This one ducked left into"
4"Her coat clung to her"
5"She kept her eyes on"
6"she called out, though she"
7"The alley spat them both"
8"He was fast."
9"He dropped down a set"
10"Quinn skidded to a halt"
11"That station had been closed"
12"She knew that much—everyone who'd"
13"she said, though her voice"
14"Quinn's hand found the grip"
15"She thought of Morris—the way"
16"She'd told herself for three"
17"She still told herself that."
18"It was easier than the"
19"She went down the stairs."
ratio0.845
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences58
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount12
matches
0"Quinn swore and went after him, boots slapping through puddles, the neon glow of the bar's sign smearing green across her vision as she passed beneath it."
1"The alley spat them both out onto a side street she didn't recognize, one of those forgotten London corners that existed only for delivery vans and bin collecti…"
2"He dropped down a set of stairs she hadn't seen, stairs that led to a Tube entrance boarded up with rusted grates and a faded sign reading Camden Town, the lett…"
3"Quinn skidded to a halt at the top, rain running down her collar, staring at the darkness below."
4"She knew that much—everyone who'd grown up in London knew the dead stations, the ones nobody talked about because talking about them felt like inviting somethin…"
5"She thought of Morris—the way his voice had cracked over the radio three years ago, the static that ate his last words before she'd found nothing left of him at…"
6"The grate had been forced open, its rusted chain snapped clean, and beyond it the old station breathed out air that smelled of damp stone and something sweeter …"
7"A woman with silver eyes weighed something in a brass scale that ticked without any visible mechanism."
8"A boy no older than twelve sold vials of liquid that moved like they were alive, twisting against the glass."
9"She scanned faces—too many faces, more people crammed into this station than should have fit, all of them moving with the unhurried confidence of regulars, peop…"
10"And she had spent three years chasing the shape of his absence through case files that led nowhere, through witnesses who changed their stories, through nights …"
11"Her boots found the platform's edge, old and cracked, and beneath the amber light she caught her own reflection in a broken window—tired eyes, soaked hair, a wo…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount1
matches
0"she said, though her voice sounded thinner than she meant it to"
25.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she called out (call out)"
dialogueSentences6
tagDensity0.667
leniency1
rawRatio0.25
effectiveRatio0.25
74.5151%