Run: 2026-04-24-01KQ0G2PHW01DF2TT9ZP2H9MH3

Run Details

Duration:
30.3s
Cost:
$0.062345
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 over Camden High Street, slicking the pavement into a black mirror that swallowed the neon and spat it back in broken colour. Detective Harlow Quinn ran with her coat flapping at her knees, one hand steadying the radio clipped to her belt, the other braced for the sidearm she wasn't carrying. Twenty paces ahead, the curly-haired bastard she'd been watching for six weeks was making her work for every breath. "Herrera!" Her voice cracked against the brick. "Tomás Herrera, stop where you are!" He didn't stop. He didn't even look back. He jinked left around a cluster of drunk tourists huddled under a pub awning, bumped an elbow off a bollard, and kept going. The Saint Christopher she'd noted in his file bounced against his chest, catching a flare of green from a kebab shop sign. Quinn pushed harder. Her lungs burned but her legs remembered how to do this — eighteen years of remembering. Morris used to joke that she ran like she was being chased instead of chasing. Morris wasn't here to joke about anything any more. The street narrowed. Herrera cut between two parked vans and down an alley that smelled of bin juice and piss. Quinn slammed her shoulder off a wing mirror, swore, and followed. Water sluiced off a broken gutter onto her neck. She bit down on the gasp. "You've got nowhere to go, Tomás. Talk to me and this ends easy." "You don't want to follow me." He threw it over his shoulder without slowing, the words clipped by his breathing, a Spanish lilt underneath. "Go back to your car, Detective." "That a threat?" "A favour." He vaulted a low fence behind a shuttered flower stall. Quinn cleared it less cleanly, caught her shin on the rail, came down hard on the other side. When she straightened, Herrera was already at the mouth of the service stairs that plunged into the old Camden Road Tube entrance — the one boarded up since before she'd joined the force. The plywood hoarding had been hacked through. Fresh splinters. A hinge nobody had bothered to hide. He paused on the top step. Just for a breath. Looked back. In the wet sodium light his olive skin had gone grey. The scar on his left forearm showed pale where his sleeve had ridden up. He wasn't looking at her like a man who thought he'd be caught. He was looking at her like a man deciding whether to warn a stranger off a cliff. "Don't," he said. Then he was gone, down into the dark. Quinn hit the top of the stairs and stopped. Rain drummed on the hoarding behind her. Somewhere above, a night bus sighed through its brakes. Her radio crackled — dispatch wanting an update, her DI wanting an update, the whole orderly architecture of the job wanting her to confirm she was still inside it. She looked down the stairs. They weren't the stairs of a derelict Tube station. She knew what those looked like — she'd walked a dozen of them on evidence runs. These had something at the bottom. A flicker, warm and low, the wrong colour for emergency lighting. A sound, too, under the thrum of the rain: voices, maybe, or a single voice multiplied. The smell drifting up was woodsmoke and something sweeter, something that prickled the back of her throat. Her hand found the radio. She thumbed the button. Let it go. Three years ago she had stood at the mouth of a warehouse in Deptford with Morris at her shoulder, and she had called it in, by the book, and they had gone in together, by the book, and she had come out alone. The report said gas leak. The coroner said asphyxia. Neither of those things explained what she had seen on the floor where Morris had been standing — the shape of him, burned into the concrete, as if he had been lifted out of his own outline and carried somewhere else. Nobody at the Yard talked about it any more. Quinn talked about it every night, to the ceiling, for three years. Herrera's footsteps were fading below. She drew her baton, flicked it open. Useless, probably. She took it anyway. The stairs were slick with rain for the first eight steps and then abruptly dry. She noted it. She noted the way the sound of the street cut off, as if a door she couldn't see had closed behind her. She noted the temperature — warmer down here, like walking into a kitchen. Her training catalogued each thing and filed it in a drawer marked LATER. At the bottom the passage opened out. She had expected platforms, tiling, the bones of a station. She got a market. Stalls crowded the old concourse, canvas and carved wood and something that might have been bone. Lanterns hung on cords that weren't plugged into anything. A woman in a butcher's apron was weighing what looked like teeth on a brass scale. A boy no older than twelve held out a tray of small glass vials to a hooded man who paid him with a coin that sang when it touched the tray. Nobody turned to look at Quinn. Nobody needed to. She felt their attention the way you feel a draught. At the edge of the crowd a stallholder with a face full of tattoos was watching her openly. He raised one pierced eyebrow and held out a hand, palm up. "Token," he said. "I don't have one." "Then you don't have a market, love." She scanned past his shoulder. Herrera was cutting a diagonal through the press of bodies, heading for an archway hung with black cloth. He wasn't running any more. He was moving like a man who'd come home. "Police," Quinn said, low, to the tattooed man. She didn't reach for her warrant card. Some instinct she didn't want to examine told her that word would mean nothing here, or worse than nothing. "I can see that." "I need to get through." "Then you need a token." He smiled, not unkindly. "Or you need to be very sure you want what's on the other side." Across the concourse, Herrera reached the archway. He paused again. Looked back at her across the heads of the crowd. And this time, very small, very deliberate, he shook his head. Quinn's thumb found the catch of her baton and held it there. Water ran out of her hair and down the collar of her coat, and she stood at the edge of a place that had no business existing, and she made her choice.
created_at"2026-04-24T19:39:44.602Z" 4/24/2026, 7:39:44 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1935
moderation_latency(null)
generation_time30201
tokens_prompt1140
tokens_completion1647
native_tokens_prompt1579
native_tokens_completion2178
native_tokens_completion_images(null)
native_tokens_reasoning60
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"
usage0.062345
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"a422f36f-26bf-4e7b-b737-8b7429010f10"
is_byokfalse
latency886
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777059584-hSvPZgoay8Qb9eCtn9PN"
session_id(null)
api_type"completions"
id"gen-1777059584-otk0PzKQ2G3rcfuvrqk8"
upstream_id"a422f36f-26bf-4e7b-b737-8b7429010f10"
total_cost0.062345
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
86.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1105
totalAiIsmAdverbs3
found
0
adverb"very"
count3
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)
72.85% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1105
totalAiIsms6
found
0
word"lilt"
count1
1
word"flicker"
count1
2
word"footsteps"
count1
3
word"flicked"
count1
4
word"eyebrow"
count1
5
word"scanned"
count1
highlights
0"lilt"
1"flicker"
2"footsteps"
3"flicked"
4"eyebrow"
5"scanned"
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
narrationSentences89
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences89
filterMatches
0"feel"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences99
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1111
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount1032
uniqueNames14
maxNameDensity0.87
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden2
High1
Street1
Harlow1
Quinn9
Saint1
Christopher1
Spanish1
Herrera5
Road1
Tube2
Deptford1
Morris4
Yard1
persons
0"Harlow"
1"Quinn"
2"Saint"
3"Christopher"
4"Herrera"
5"Morris"
places
0"Camden"
1"High"
2"Street"
3"Road"
4"Tube"
5"Deptford"
globalScore1
windowScore1
71.88% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount2
matches
0"looked like — she'd walked a dozen of the"
1"looked like teeth on a brass scale"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1111
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences99
matches
0"joke that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean29.24
std26.48
cv0.906
sampleLengths
075
113
253
343
446
513
630
73
82
977
1012
1155
123
138
149
1545
165
1775
1812
1993
2021
215
2213
2366
247
2586
2619
2730
283
294
307
3137
3234
334
345
3523
3631
3744
89.49% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences89
matches
0"being chased"
1"been hacked"
2"was gone"
3"been lifted"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount8
totalVerbs183
matches
0"wasn't carrying"
1"was making"
2"wasn't looking"
3"was looking"
4"was weighing"
5"was watching"
6"was cutting"
7"wasn't running"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences6
totalSentences99
ratio0.061
matches
0"Her lungs burned but her legs remembered how to do this — eighteen years of remembering."
1"When she straightened, Herrera was already at the mouth of the service stairs that plunged into the old Camden Road Tube entrance — the one boarded up since before she'd joined the force."
2"Her radio crackled — dispatch wanting an update, her DI wanting an update, the whole orderly architecture of the job wanting her to confirm she was still inside it."
3"She knew what those looked like — she'd walked a dozen of them on evidence runs."
4"Neither of those things explained what she had seen on the floor where Morris had been standing — the shape of him, burned into the concrete, as if he had been lifted out of his own outline and carried somewhere else."
5"She noted the temperature — warmer down here, like walking into a kitchen."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1027
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.021421616358325218
lyAdverbCount7
lyAdverbRatio0.006815968841285297
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences99
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences99
mean11.22
std8.54
cv0.761
sampleLengths
027
129
219
37
46
53
65
723
822
93
1016
1115
129
133
1417
1511
169
176
1813
1924
206
213
222
2310
2418
2533
267
272
287
296
304
312
3211
3314
3413
3517
363
378
389
397
409
4129
425
439
4416
456
4611
4716
4817
495
54.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.41414141414141414
totalSentences99
uniqueOpeners41
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences84
matches
0"Just for a breath."
1"Then he was gone, down"
2"Somewhere above, a night bus"
ratio0.036
62.86% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences84
matches
0"Her voice cracked against the"
1"He didn't stop."
2"He didn't even look back."
3"He jinked left around a"
4"Her lungs burned but her"
5"She bit down on the"
6"He threw it over his"
7"He vaulted a low fence"
8"He paused on the top"
9"He wasn't looking at her"
10"He was looking at her"
11"Her radio crackled — dispatch"
12"She looked down the stairs."
13"They weren't the stairs of"
14"She knew what those looked"
15"Her hand found the radio."
16"She thumbed the button."
17"She drew her baton, flicked"
18"She took it anyway."
19"She noted it."
ratio0.393
37.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount71
totalSentences84
matches
0"Rain came down in sheets"
1"Detective Harlow Quinn ran with"
2"Her voice cracked against the"
3"He didn't stop."
4"He didn't even look back."
5"He jinked left around a"
6"The Saint Christopher she'd noted"
7"Quinn pushed harder."
8"Her lungs burned but her"
9"Morris used to joke that"
10"Morris wasn't here to joke"
11"The street narrowed."
12"Herrera cut between two parked"
13"Quinn slammed her shoulder off"
14"Water sluiced off a broken"
15"She bit down on the"
16"He threw it over his"
17"He vaulted a low fence"
18"Quinn cleared it less cleanly,"
19"The plywood hoarding had been"
ratio0.845
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
73.17% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount4
matches
0"Rain came down in sheets over Camden High Street, slicking the pavement into a black mirror that swallowed the neon and spat it back in broken colour."
1"Detective Harlow Quinn ran with her coat flapping at her knees, one hand steadying the radio clipped to her belt, the other braced for the sidearm she wasn't ca…"
2"The smell drifting up was woodsmoke and something sweeter, something that prickled the back of her throat."
3"Neither of those things explained what she had seen on the floor where Morris had been standing — the shape of him, burned into the concrete, as if he had been …"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount2
matches
0"He threw, the words clipped by his breathing, a Spanish lilt underneath"
1"He smiled, not unkindly"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences16
tagDensity0.188
leniency0.375
rawRatio0
effectiveRatio0
78.2978%