Run: 2026-07-25-01KYCPKSS5QPVKPGR9E95CDF55

Run Details

Duration:
48.9s
Cost:
$0.072350
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 stairwell down to the disused platform smelled of wet chalk and something older, something Detective Harlow Quinn couldn't name, and she'd smelled a lot of things in eighteen years. "Watch the third step from the bottom," called the constable above her. "Tile's loose." She'd already found it. Her boot had rolled and she'd caught the handrail with a grip that left rust flakes in her palm. She wiped them on her trousers and kept going, torch beam swinging across a wall of tiles the colour of old teeth. Someone had painted over the station name decades back, but the ghost of the letters still bled through the cream: BRUNSWICK CROSS. Closed 1947. According to the Transport for London file she'd read in the car, nobody had been down here in eleven years except surveyors and rats. The platform opened up in front of her, wide and cold, and the lights the SOCOs had rigged threw everything into a hard white glare that made the shadows look drawn on. There were seventeen people standing in a rough circle around the body. Not officers. Not paramedics. Civilians in coats, hands in pockets, faces turned toward the thing on the ground with an expression she'd only ever seen at Remembrance Sunday. "Who let them in?" she said. DC Ferrer came out of the crowd with an evidence bag in one gloved hand and a look on his face she didn't like — apologetic, already assembling his defence. "They were here when we arrived, guv. Say they've got permission." "From who? God?" "From the— " He checked his notebook, and she watched his ears go pink. "From the market. They say there's a market down here. Once a month. They say it moved last night and this was the site." "A market." "They've all got these." He held up the bag. Inside it, a small pale thing, curved, machined smooth, with a hole drilled off-centre. It looked like a poker chip carved out of bone. Quinn took the bag and turned it under the light. Not plastic. Not resin. There were grain lines in it, the kind you got in a cross-section of femur, and a symbol scratched into one face that her eye slid off, the way it slid off small print in a language she didn't read. "Seventeen of them all carrying the same token," she said. "And you didn't think to separate them before they compared notes." "They weren't comparing notes. They haven't said a word to each other." That was true. She could hear it now. A crime scene had a sound — a low murmur, the shifting of feet, somebody's radio. This had none. Seventeen people, silent, breathing. "Move them to the ticket hall. Individual statements. Nobody leaves." She stepped over the tape into the circle. The victim was male, mid-fifties, lying on his back three feet from the platform edge with his arms straight down at his sides and his ankles together, as neat as a man in a coffin. Grey overcoat, good wool, buttoned to the throat. Brown brogues, both on, both laced. No defensive wounds on the hands. No wounds at all that she could see except a single dark line across the throat, thin as a paper cut, and no blood. None. Not on the collar, not on the tiles, not a spatter arc up the tiled wall behind him. A throat wound like that should have painted the platform for six feet. "Body temp's odd," said the pathologist, a woman Quinn didn't know, crouched at the head with a thermometer she kept frowning at. "I'm getting eleven degrees." "Ambient's what, nine?" "Twelve. Which means he's colder than the room." Quinn squatted. Her knees complained. Up close the man's face was slack and untroubled, and his eyes were open, and the whites had gone the flat dull grey of dishwater. Not the milky film of a day-old corpse. Grey like the colour had been decanted out of him. She looked at the tiles again. Clean. Dust everywhere else on the platform — thick, undisturbed dust, decades of it, with the tracks of the SOCOs' overshoes carved through it in neat lines. But in a circle two metres wide around the body, the floor was swept. Not scuffed. Swept, edges crisp, like someone had drawn a compass round him. "Someone cleaned up," said a voice at her shoulder. DS Bream. Twenty-two years, three stone heavier than his medical would like, and possessed of the most restful mind Quinn had ever encountered. He was chewing gum. "Cleaned up," she repeated. "Bled him somewhere else, brought him down here, laid him out. Ritual nonsense — the circle, the arms, the whole panto. We've got a cult, guv. That lot with the bone chips are the choir." He gestured at the departing civilians with his chin. "Somebody wanted him found in a spooky place by spooky people. Squeeze the seventeen, one of them cracks by teatime." It was a good theory. It was the theory she'd have written in the book herself, ten years ago, and it accounted for everything except everything. "How'd they get him down?" she said. "Carried him." "Two flights of stairs with a loose tile and a ninety-degree turn at the landing. He's what, thirteen stone? Show me the scuff marks." Bream looked at the dust. The dust was very eloquent. "Other entrance," he said. "Ventilation shaft. Service tunnel from the live line." "Then show me where they came in and put him down. There's no drag. No heel-marks. The dust's undisturbed right up to the edge of that swept ring, which means whoever swept it stood inside it while they did it." She stood, and her torch beam went up the wall, along the arch, into the black mouth of the tunnel. "And the sweep's not a sweep. Look at the boundary." Bream crouched. He was slow but he wasn't stupid; that was why she kept him. "It's not a line. It's a— what's the word. Gradient." "Fades over about three centimetres. A broom leaves a ridge of pushed dust at the edge. There's no ridge. The dust doesn't stop, it thins." "Blown, then." "Blown outward from the centre leaves a plume. This is even. Three hundred and sixty degrees, even." She turned in place, following the ring. "Something happened here that pushed in all directions at once and then stopped." "An explosion with no blast damage and no burns and a body laid out like a tulip." "I didn't say explosion." She hadn't said anything, and that was the trouble. There was a word in her mouth she'd been refusing for three years and she wasn't going to let it out in front of Bream. "What's in his pockets?" Ferrer had the inventory. "Wallet, keys, forty-five pounds cash, Oyster card, and this." Another bag. "It was in his right hand. Fingers were closed round it." A compass. Small, brass, gone green at the seams, the face crowded with tiny etched marks that weren't degrees and weren't points of the sailor's rose. Quinn held it flat on her palm through the plastic. The needle wasn't pointing north. She checked her own bearing against the platform's axis, against the tunnel, against the sun she couldn't see. The needle sat rock-steady at forty degrees off, aimed at the black arch of the tunnel mouth, and when she walked six paces along the platform it swung to keep aiming at the same spot with the smooth confidence of a dog watching a door. "It's broken," said Bream. "Broken needles wobble." She took another two paces. The needle tracked. "This one's got an opinion." Behind her, one of the SOCOs swore and dropped a camera, and when Quinn turned the woman was staring at the tunnel too, and there were nineteen fresh footprints in the dust between the body and the arch, small and bare and heading away, and no one had walked there at all.
created_at"2026-07-25T13:14:42.504Z" 7/25/2026, 1:14:42 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1760
moderation_latency(null)
generation_time48551
tokens_prompt1112
tokens_completion1899
native_tokens_prompt1595
native_tokens_completion2575
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"
usage0.07235
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNqUmZFLF5J17sYFQpoe"
is_byokfalse
latency1760
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784985282-FsiIQUW3rCzBsLdfpfSB"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784985282-tqUdvRHfymmr6KGLUlnX"
upstream_id"msg_011CdNqUmZFLF5J17sYFQpoe"
total_cost0.07235
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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences41
tagDensity0.317
leniency0.634
rawRatio0
effectiveRatio0
96.22% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1324
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)
96.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1324
totalAiIsms1
found
0
word"etched"
count1
highlights
0"etched"
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
narrationSentences80
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences80
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen61
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1329
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount929
uniqueNames9
maxNameDensity0.75
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Bream"
discoveredNames
Detective1
Harlow1
Quinn7
Transport1
London1
Remembrance1
Sunday1
Ferrer2
Bream5
persons
0"Harlow"
1"Quinn"
2"Ferrer"
3"Bream"
places
0"Transport"
1"London"
2"Remembrance"
globalScore1
windowScore1
94.44% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount1
matches
0"looked like a poker chip carved out of bo"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1329
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean27.12
std21.86
cv0.806
sampleLengths
030
114
293
332
412
528
66
730
811
93
1038
112
1233
1354
1421
1512
1631
1710
188
1979
2032
2126
223
238
2448
2560
269
2727
284
2964
3026
317
322
3324
3410
3512
3670
3725
3825
392
4037
4117
4242
4326
4436
4568
464
4716
4852
96.49% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences80
matches
0"been decanted"
1"was swept"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs139
matches
0"wasn't pointing"
1"was staring"
32.97% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount1
flaggedSentences4
totalSentences104
ratio0.038
matches
0"DC Ferrer came out of the crowd with an evidence bag in one gloved hand and a look on his face she didn't like — apologetic, already assembling his defence."
1"A crime scene had a sound — a low murmur, the shifting of feet, somebody's radio."
2"Dust everywhere else on the platform — thick, undisturbed dust, decades of it, with the tracks of the SOCOs' overshoes carved through it in neat lines."
3"He was slow but he wasn't stupid; that was why she kept him."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount798
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.02631578947368421
lyAdverbCount1
lyAdverbRatio0.0012531328320802004
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean12.78
std11.62
cv0.909
sampleLengths
030
112
22
34
419
522
622
72
824
932
1012
112
122
1324
146
1530
1611
173
1814
1924
202
219
2214
2310
2410
252
262
2740
2810
2911
3012
313
325
3316
343
354
3610
378
3835
398
406
416
4224
431
4418
4513
4622
474
483
498
89.42% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.5769230769230769
totalSentences104
uniqueOpeners60
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
88.85% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences61
matches
0"She'd already found it."
1"Her boot had rolled and"
2"She wiped them on her"
3"He checked his notebook, and"
4"He held up the bag"
5"It looked like a poker"
6"She could hear it now."
7"She stepped over the tape"
8"Her knees complained."
9"She looked at the tiles"
10"He was chewing gum."
11"He gestured at the departing"
12"It was a good theory."
13"It was the theory she'd"
14"She stood, and her torch"
15"He was slow but he"
16"She turned in place, following"
17"She hadn't said anything, and"
18"She checked her own bearing"
19"She took another two paces"
ratio0.328
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences61
matches
0"The stairwell down to the"
1"She'd already found it."
2"Her boot had rolled and"
3"She wiped them on her"
4"Someone had painted over the"
5"The platform opened up in"
6"Civilians in coats, hands in"
7"DC Ferrer came out of"
8"He checked his notebook, and"
9"He held up the bag"
10"It looked like a poker"
11"Quinn took the bag and"
12"That was true."
13"She could hear it now."
14"A crime scene had a"
15"This had none."
16"She stepped over the tape"
17"The victim was male, mid-fifties,"
18"Brown brogues, both on, both"
19"A throat wound like that"
ratio0.656
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount1
matches
0"The platform opened up in front of her, wide and cold, and the lights the SOCOs had rigged threw everything into a hard white glare that made the shadows look d…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount2
fancyTags
0"she repeated (repeat)"
1"She hadn't (have)"
dialogueSentences41
tagDensity0.171
leniency0.341
rawRatio0.286
effectiveRatio0.098
89.8208%