Run: 2026-07-25-01KYCRDYN7SRFNK12MKRMR7VBH

Run Details

Duration:
55.6s
Cost:
$0.079095
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 like it had a grudge. Quinn had been standing under the green neon of the Raven's Nest for forty minutes, water finding the gap between her collar and her neck, when the door swung out and Tomás Herrera came with it. He carried a canvas holdall against his chest the way people carried infants. Head down. Shoulders up. He got six paces before he glanced left, and the glance found her, and everything in his face reorganised itself. "Herrera." She stepped off the kerb. "Two minutes of your time." He ran. Of course he ran. They always did the maths and always got it wrong, and Quinn was already moving, boots slapping through a gutter that had given up pretending to be a gutter. Herrera cut right into Bateman Street, the holdall swinging wide, and a man with an umbrella spun off him into a doorway and shouted something obscene about his mother. "You're making this worse," she called. "You know that, yeah? Every street. Worse." He didn't answer. He was fast — faster than a man his age with a bag should be, and Quinn's knee reminded her that eighteen years of decorated service had been eighteen years of pounding pavement. She let the gap open to twenty feet and held it. Sprinting was for people who didn't know where the roads went. Herrera went left onto Dean Street, past the shuttered fronts and the sad glow of a chicken shop, and Quinn cut the corner through a loading bay, shoulder scraping brick, and came out five feet closer than he expected. "Detective—" He hurdled a stack of bin bags. "You don't know what you're doing." "I'm chasing a man with a bag. Show me the bag and I'll stop." "You'll stop anyway. Everybody stops." Traffic on Oxford Street shoved past in walls of spray. Herrera didn't slow. He went between a black cab and a night bus with his arms up and the cab's horn tore the air open, and Quinn followed through the same gap with the wing mirror kissing her hip. The driver's mouth worked behind the glass. She didn't hear a word of it. Herrera glanced back. His curls were flattened to his skull, water sheeting off the end of his nose, and under his open jacket the Saint Christopher swung out and caught the streetlight — a little coin of gold beating against his sternum. "Patron saint of travellers," Quinn shouted. "You're not travelling. You're just running." "Same thing tonight." Tottenham Court Road. He took the mouth of the Underground and Quinn thought *good*, thought *tunnels, barriers, staff, cameras*, and then he veered off at the last instant and kept north, and she understood he'd never intended the Tube at all. He was drawing her out. Making her spend legs. She spent them. Warren Street, Mornington Crescent, the long dull stretch where Camden started to sour, and by the time the canal opened up below them the rain had turned to something colder and her lungs had gone to broken glass. Herrera slid down the wet steps to the towpath in three strides, one hand skimming the rail. "Herrera!" Her voice bounced off the water. "DS Morris. Three years ago. That name mean anything to you?" He stopped. It lasted a second — maybe less — but he stopped, one boot in a puddle, the holdall pressed to his ribs, and he looked back up the steps at her with rain running into his eyes. "You shouldn't say that name down here," he said. "Why not?" "Because things listen." He backed up two paces. "Go home, Detective." "Talk to me about Morris and I'll go home tonight and every night after." "You won't." He almost smiled, and it was the worst thing she'd seen all week. "You're the kind that digs." He ran again. The towpath was a black ribbon with black water beside it, and Quinn ran it half-blind, past the arches where somebody had made a home out of tarpaulin, past a moored barge with a dog going insane behind its windows. Herrera pulled ahead. He knew where the bad bricks were and she didn't; she went down hard on one knee at Camden Lock and got up with her palm stinging and grit under her nails. He left the towpath at a rust-eaten gate that shouldn't have opened and did. Up a service ramp. Across a yard of dead cobbles behind the market stalls, where the tarps hung heavy and the smell was old grease and older fruit. And then he went down. There was a stairwell in the ground beside a hoarding advertising luxury flats that hadn't been built. Enamel tiling, the ghost of a roundel, a mouth of white-brown tiles going down into the dark under Camden. A station that shouldn't have been anything but bricked-up masonry and rats. Quinn had walked past that hoarding a hundred times. She reached the top step. Stopped. Warmth came up at her. Not heat — warmth, like breath, carrying a smell she couldn't file. Cardamom. Wet iron. Something sweet gone wrong. Down the shaft, forty feet below, light moved: not electric, not fire. Lamps the colour of a bruise healing. And under the light, voices — dozens, layered, the murmur of a market at full tilt at half past midnight beneath a city that was asleep. Herrera's footsteps were already gone into it. Quinn put her hand on her radio. Held it there, thumb on the transmit, water dripping off her chin onto the plastic. *Control from six-two, I'm going below ground at* — at where? Behind the stalls, through a gate that doesn't exist, into a station that closed in 1924. Requesting backup for a man with a holdall. She heard how it would land in the control room. She heard how it would land in her file, the one with three years of notes about DS Morris in it, notes she'd never shown anyone because she'd read them back once, sober, and understood exactly what they'd cost her. She let go of the radio. "Bad night for it." A figure sat in the ticket-hall recess at the bottom of the first flight, wrapped in what looked like six coats. Face lost under a hood. One hand out, palm up, unbothered. "Toll," it said. "Police." She showed the warrant card. Rain had got into the plastic sleeve and the photograph swam. "Doesn't spend here." The palm stayed out. "Bone token, or the stairs go nowhere. You'd walk down and come back up and swear it was bricked. Happens all night. Very peaceful." "A man just went past you. Curly hair. Bag." "He paid." Quinn's hand went to her coat pocket. Not the radio pocket. The other one, the inside one, where for three years she had carried a thing she'd taken from Morris's locker before the inventory team got there and had never once shown to another living soul. She drew it out. Yellowed, the length of a finger joint, carved with a spiral that started at one end and never quite finished. The hood tilted. "That's an old one," it said. "It was my partner's." "Then your partner's gone somewhere." The palm didn't move. "Last chance to be a woman who went home." Below, the bruise-coloured light shifted, and a bell rang once, and somewhere in all that murmur a man was walking away from her with a bag full of answers. Quinn set the bone token in the waiting palm. "Which way to the bag," she said, and started down.
created_at"2026-07-25T13:46:27.887Z" 7/25/2026, 1:46:27 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4711
moderation_latency(null)
generation_time54750
tokens_prompt1104
tokens_completion1903
native_tokens_prompt1574
native_tokens_completion2849
native_tokens_completion_images(null)
native_tokens_reasoning112
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"
usage0.079095
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNsuGuzq4mf8tYCzM8p6"
is_byokfalse
latency1660
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
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http_referer(null)
request_id"req-1784987187-25u65l67udgp4vxwoNGY"
session_id(null)
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api_type"completions"
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upstream_id"msg_011CdNsuGuzq4mf8tYCzM8p6"
total_cost0.079095
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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
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences32
tagDensity0.438
leniency0.875
rawRatio0
effectiveRatio0
96.02% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1257
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
80.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1257
totalAiIsms5
found
0
word"pounding"
count1
1
word"warmth"
count2
2
word"electric"
count1
3
word"footsteps"
count1
highlights
0"pounding"
1"warmth"
2"electric"
3"footsteps"
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)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences88
filterMatches(empty)
hedgeMatches
0"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences106
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords13
totalWords1264
ratio0.01
matches
0"good"
1"tunnels, barriers, staff, cameras"
2"Control from six-two, I'm going below ground at"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
94.90% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions48
wordCount1089
uniqueNames23
maxNameDensity1.1
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Raven1
Nest1
Tomás1
Herrera8
Quinn12
Bateman1
Street4
Dean1
Traffic1
Oxford1
Saint1
Christopher1
Tottenham1
Court1
Road1
Underground1
Tube1
Mornington1
Crescent1
Camden3
Lock1
Morris2
Rain2
persons
0"Raven"
1"Tomás"
2"Herrera"
3"Quinn"
4"Saint"
5"Christopher"
6"Morris"
7"Rain"
places
0"Bateman"
1"Street"
2"Dean"
3"Oxford"
4"Tottenham"
5"Court"
6"Road"
7"Mornington"
8"Crescent"
globalScore0.949
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount1
matches
0"looked like six coats"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1264
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences106
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs51
mean24.78
std22.51
cv0.908
sampleLengths
044
137
211
32
462
513
658
739
814
914
105
1163
1242
1312
143
1550
1658
1718
182
1937
209
212
2211
2314
2420
253
2675
2747
2857
296
3069
317
3222
3385
346
354
3632
373
3817
3931
409
412
4246
4324
443
456
464
4718
4829
499
93.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences88
matches
0"been eighteen"
1"were flattened"
2"been built"
91.89% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs185
matches
0"was already moving"
1"was drawing"
2"was walking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount1
flaggedSentences7
totalSentences106
ratio0.066
matches
0"He was fast — faster than a man his age with a bag should be, and Quinn's knee reminded her that eighteen years of decorated service had been eighteen years of pounding pavement."
1"His curls were flattened to his skull, water sheeting off the end of his nose, and under his open jacket the Saint Christopher swung out and caught the streetlight — a little coin of gold beating against his sternum."
2"It lasted a second — maybe less — but he stopped, one boot in a puddle, the holdall pressed to his ribs, and he looked back up the steps at her with rain running into his eyes."
3"He knew where the bad bricks were and she didn't; she went down hard on one knee at Camden Lock and got up with her palm stinging and grit under her nails."
4"Not heat — warmth, like breath, carrying a smell she couldn't file."
5"And under the light, voices — dozens, layered, the murmur of a market at full tilt at half past midnight beneath a city that was asleep."
6"*Control from six-two, I'm going below ground at* — at where?"
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1089
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.021120293847566574
lyAdverbCount1
lyAdverbRatio0.0009182736455463728
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences106
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences106
mean11.92
std10.92
cv0.916
sampleLengths
08
136
213
32
42
520
66
75
82
94
1029
1129
126
137
143
1533
1611
1711
1839
198
206
2114
225
2310
243
2536
267
277
283
2939
306
316
323
333
3438
355
364
373
3838
3917
407
4111
422
4337
449
452
468
473
4814
4915
85.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.5566037735849056
totalSentences106
uniqueOpeners59
43.86% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences76
matches
0"Of course he ran."
ratio0.013
72.63% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences76
matches
0"He carried a canvas holdall"
1"He got six paces before"
2"She stepped off the kerb"
3"They always did the maths"
4"He didn't answer."
5"He was fast — faster"
6"She let the gap open"
7"He hurdled a stack of"
8"He went between a black"
9"She didn't hear a word"
10"His curls were flattened to"
11"He took the mouth of"
12"He was drawing her out."
13"She spent them."
14"Her voice bounced off the"
15"It lasted a second —"
16"He backed up two paces"
17"He almost smiled, and it"
18"He ran again."
19"He knew where the bad"
ratio0.368
78.42% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences76
matches
0"Rain came down like it"
1"Quinn had been standing under"
2"He carried a canvas holdall"
3"He got six paces before"
4"She stepped off the kerb"
5"They always did the maths"
6"Herrera cut right into Bateman"
7"He didn't answer."
8"He was fast — faster"
9"She let the gap open"
10"Sprinting was for people who"
11"Herrera went left onto Dean"
12"He hurdled a stack of"
13"Traffic on Oxford Street shoved"
14"Herrera didn't slow."
15"He went between a black"
16"The driver's mouth worked behind"
17"She didn't hear a word"
18"Herrera glanced back."
19"His curls were flattened to"
ratio0.763
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences76
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount4
matches
0"They always did the maths and always got it wrong, and Quinn was already moving, boots slapping through a gutter that had given up pretending to be a gutter."
1"He left the towpath at a rust-eaten gate that shouldn't have opened and did."
2"There was a stairwell in the ground beside a hoarding advertising luxury flats that hadn't been built."
3"And under the light, voices — dozens, layered, the murmur of a market at full tilt at half past midnight beneath a city that was asleep."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"Quinn shouted (shout)"
dialogueSentences32
tagDensity0.188
leniency0.375
rawRatio0.167
effectiveRatio0.063
86.6618%