Run: 2026-02-24-01KJ8VXNEPMFP9TYA3PBQVS7X6

Run Details

Duration:
38.0s
Cost:
$0.029514
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
The rain turned the street into a mirror. Quinn's boots punched through standing puddles as she rounded the corner onto Chalk Farm Road, her breath coming hard, her eyes fixed on the figure forty metres ahead. He was fast — faster than anyone who'd spent the evening hunched over a corner table in the Raven's Nest had any right to be. She'd clocked him forty minutes ago, nursing the same half-pint for two hours while his eyes worked the room like a camera, cataloguing everyone who came and went. The moment she'd moved to cut off his exit, he'd bolted before she'd taken three steps. Now he was running like something was after him worse than her. The Camden streets were half-empty at this hour, the last stragglers from the market stalls long gone, only the occasional cluster outside a pub doorway watching the rain like it owed them money. Headlights dragged orange smears across the wet tarmac. Quinn pressed her earpiece. "Dispatch, this is Quinn, Detective Sergeant, badge four-four-one-six. I'm in foot pursuit northbound on Chalk Farm Road approaching the junction with Castlehaven. Male suspect, dark jacket, red trainers. I need units—" A burst of static swallowed the rest. She checked the device with two fingers as she ran. Dead. Not a signal issue — the thing had simply stopped, the way electronics sometimes stopped around certain people she'd been watching for the past three months. Her jaw tightened. The suspect cut left without warning, disappearing down a side street she almost missed. She caught the flash of red sole against wet pavement and yanked herself around the corner, nearly losing her footing on the camber. A row of shuttered shops, a skip overflowing with cardboard, a fox frozen under a doorframe watching her with solemn orange eyes. The man was already at the far end, vaulting a low wall. Quinn followed. She landed in a service lane that smelled of old cooking fat and something else beneath it — something metallic and old, like the inside of a church that hadn't been aired in decades. She'd smelled that before. The night Morris had died, that smell had been everywhere, soaked into the walls of the car park on Bermondsey Street, though she hadn't understood what it meant then. She understood it better now. A set of metal stairs led down from the lane into a sunken yard. The suspect was already at the bottom, and he'd stopped running. He stood at a door — or what had been a door once. The frame was bricked over, but he pressed his palm flat against the mortar and the whole section swung inward without sound, as though it weighed nothing. Before he stepped through, he glanced back at her. Young face. Maybe twenty-five, south Asian, sharp cheekbones. He wasn't panicked. He looked almost curious. Almost sorry. Then he was gone. Quinn descended the stairs one deliberate step at a time, her hand moving to the firearm at her hip without drawing it. The door — the impossible door — sat open at an angle, offering a rectangle of dim amber light from whatever lay behind it. Stone steps led down. The smell intensified, metallic and dark, layered now with something chemical, something like sulphur and dried lavender fighting each other to a standstill. She stopped at the threshold. In eighteen years she had followed suspects into burning buildings, into flooded underpasses, into a squat in Dalston where four men had been waiting with iron bars. She had put herself in harm's way hundreds of times with the calm practical certainty that the risk was understood, bounded, nameable. Police work had a grammar. Danger in police work had a grammar. This didn't. She pulled out her phone. No signal. She photographed the doorway anyway, the stone steps, the brickwork, the lock mechanism that shouldn't have existed on what appeared to be a sealed wall. Evidence was evidence even when you didn't know what it was evidence of. From below came noise. Not the noise of a man running, or hiding, or waiting to ambush her. It was the noise of a crowd, a low oceanic murmur, voices in languages she couldn't pick apart, and beneath it a sound like something being beaten against metal in a slow, deliberate rhythm. Light moved at the bottom of the stairs, not the static amber she'd first seen but a shifting, restless gold, like torchlight but not quite. Her radio crackled alive without warning. "—Quinn, do you copy? Quinn?" A woman's voice, unfamiliar. She pressed the earpiece. "Quinn here. Go ahead." "Don't go down there." Not dispatch. Not any voice she recognised from the station. "Detective Quinn, I need you to step back from that entrance." She pulled the earpiece out and looked at it. Footsteps behind her. She spun, reaching. "Easy." Tomás Herrera raised both hands. He was soaked through, his dark curls plastered flat, the Saint Christopher medallion catching the light from the open door. He held nothing. "I'm not your suspect." "Who are you?" "Someone who knows what that place is." He nodded at the steps. "And someone who knows you don't have what you need to walk in there." "I'm a Metropolitan Police officer in pursuit of a suspect. I don't need your clearance." "You need a bone token." He said it plainly, without drama, as though it were as mundane as showing a library card. "Without one, you won't get past the threshold. Not in any condition to make an arrest, anyway." Rain dripped from the edge of the sunken yard's concrete lip above them in a steady curtain. Quinn looked at him, then at the open door, then back at him. The crowd noise rose and fell below like breathing. "Who are you?" she said again. Quieter this time. He reached into his jacket and produced a small object, pale and irregular, no larger than a chess piece. He held it out on his open palm. A bone. Carved into it, in lines almost too fine to see, was a pattern she couldn't name. "My name is Tomás. And if you want to go down there, you'll need to trust me first."
created_at"2026-02-24T22:22:08.866Z" 2/24/2026, 10:22:08 PM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1105
moderation_latency136
generation_time37780
tokens_prompt1140
tokens_completion1840
native_tokens_prompt1143
native_tokens_completion1739
native_tokens_completion_images(null)
native_tokens_reasoning292
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.029514
router(null)
provider_responses
0
endpoint_id"83d802cb-44f2-45a0-a9d5-cb9bf79777c8"
id"03280c3d-d6e3-456a-a668-a5fff0829c58"
is_byokfalse
latency1105
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771971728-Jx4yk9i6x3Ywhcj7tKmQ"
upstream_id"03280c3d-d6e3-456a-a668-a5fff0829c58"
total_cost0.029514
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
66.67% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount1
adverbTags
0"she said again [again]"
dialogueSentences15
tagDensity0.333
leniency0.667
rawRatio0.2
effectiveRatio0.133
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1028
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)
95.14% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1028
totalAiIsms1
found
0
word"footsteps"
count1
highlights
0"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
narrationSentences74
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences74
filterMatches(empty)
hedgeMatches
0"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1033
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount891
uniqueNames17
maxNameDensity0.67
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Chalk1
Farm1
Road1
Raven1
Nest1
Camden1
Morris1
Bermondsey1
Street1
Asian1
Dalston1
Quinn6
Herrera1
Saint1
Christopher1
Rain1
Quieter1
persons
0"Nest"
1"Morris"
2"Quinn"
3"Herrera"
4"Saint"
5"Christopher"
6"Rain"
places
0"Chalk"
1"Farm"
2"Road"
3"Raven"
4"Bermondsey"
5"Street"
6"Dalston"
globalScore1
windowScore1
38.89% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount2
matches
0"something like sulphur and dried lavender fi"
1"not quite"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.968
wordCount1033
matches
0"not the static amber she'd first seen but a shifting, restless gold, like torchlight but not quite"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences83
matches
0"died, that smell"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean29.51
std26.47
cv0.897
sampleLengths
08
197
212
345
431
57
640
771
82
967
105
1174
1217
134
1473
155
1661
172
1845
1977
206
219
228
2325
249
256
2633
273
2826
2915
3039
3139
329
3345
3418
86.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences74
matches
0"been aired"
1"was bricked"
2"was gone"
3"being beaten"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs148
matches
0"was running"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences83
ratio0.072
matches
0"He was fast — faster than anyone who'd spent the evening hunched over a corner table in the Raven's Nest had any right to be."
1"Not a signal issue — the thing had simply stopped, the way electronics sometimes stopped around certain people she'd been watching for the past three months."
2"She landed in a service lane that smelled of old cooking fat and something else beneath it — something metallic and old, like the inside of a church that hadn't been aired in decades."
3"He stood at a door — or what had been a door once."
4"The door — the impossible door — sat open at an angle, offering a rectangle of dim amber light from whatever lay behind it."
5"\"—Quinn, do you copy? Quinn?\" A woman's voice, unfamiliar."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount801
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.0299625468164794
lyAdverbCount3
lyAdverbRatio0.003745318352059925
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean12.45
std9.28
cv0.746
sampleLengths
08
128
225
328
416
512
633
78
84
931
107
1110
121
1326
143
1514
1623
1722
1812
192
2034
214
2229
235
2414
2511
2613
2727
289
292
306
313
324
332
344
3522
3624
374
3823
395
4027
4122
425
437
442
455
462
4725
4813
494
75.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4819277108433735
totalSentences83
uniqueOpeners40
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences66
matches
0"Maybe twenty-five, south Asian, sharp"
1"Then he was gone."
ratio0.03
56.36% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences66
matches
0"He was fast — faster"
1"She'd clocked him forty minutes"
2"She checked the device with"
3"Her jaw tightened."
4"She caught the flash of"
5"She landed in a service"
6"She'd smelled that before."
7"She understood it better now."
8"He stood at a door"
9"He wasn't panicked."
10"He looked almost curious."
11"She stopped at the threshold."
12"She had put herself in"
13"She pulled out her phone."
14"She photographed the doorway anyway,"
15"It was the noise of"
16"Her radio crackled alive without"
17"She pressed the earpiece."
18"She pulled the earpiece out"
19"She spun, reaching."
ratio0.409
43.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences66
matches
0"The rain turned the street"
1"Quinn's boots punched through standing"
2"He was fast — faster"
3"She'd clocked him forty minutes"
4"The moment she'd moved to"
5"The Camden streets were half-empty"
6"Headlights dragged orange smears across"
7"Quinn pressed her earpiece."
8"A burst of static swallowed"
9"She checked the device with"
10"Her jaw tightened."
11"The suspect cut left without"
12"She caught the flash of"
13"A row of shuttered shops,"
14"The man was already at"
15"She landed in a service"
16"She'd smelled that before."
17"The night Morris had died,"
18"She understood it better now."
19"A set of metal stairs"
ratio0.833
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences66
matches
0"Now he was running like"
1"Before he stepped through, he"
ratio0.03
56.28% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount4
matches
0"She'd clocked him forty minutes ago, nursing the same half-pint for two hours while his eyes worked the room like a camera, cataloguing everyone who came and we…"
1"She landed in a service lane that smelled of old cooking fat and something else beneath it — something metallic and old, like the inside of a church that hadn't…"
2"Quinn descended the stairs one deliberate step at a time, her hand moving to the firearm at her hip without drawing it."
3"She photographed the doorway anyway, the stone steps, the brickwork, the lock mechanism that shouldn't have existed on what appeared to be a sealed wall."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences15
tagDensity0.133
leniency0.267
rawRatio0
effectiveRatio0
87.2822%