Run: 2026-04-24-01KPZV012T7HR17MTQ4TEN55NX

Run Details

Duration:
38.0s
Cost:
$0.071975
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 pigeons had found the body first. Detective Harlow Quinn ducked under the tape strung across the entrance to the disused platform and took the stairs down two at a time, her torch beam skimming off tile the colour of nicotine. Twenty feet down, the air changed. It always did in these places. Cold the way a cellar was cold, with that mineral undertone, but something else riding on it tonight. Something sweet. Spoiled fruit and copper. "Ma'am." A uniformed constable lifted the second cordon for her. "DI Bakshi's been asking after you." "He'll survive another thirty seconds." She stepped onto the platform and stopped. The Tube station had been closed since the Blitz, according to the briefing in her coat pocket. Camden adjacent, though the maps insisted there was nothing here. A kink in the Northern Line some TfL engineer had drawn a box around and forgotten. The tiling was Edwardian. The posters on the walls still advertised Bovril and war bonds, paper curling at the corners like old leaves. The body lay at the platform's edge, legs dangling over the rails. "Harlow." Bakshi came out of the shadow by the tunnel mouth, notebook open, pen tucked behind his ear. "Glad you made it. Coroner's twenty minutes out." "Who called it in?" "Urban explorers. Pair of kids with a camera and more nerve than sense. They're upstairs giving statements. Clean so far." Quinn crouched beside the body. Male, forty-odd, dressed in a charcoal suit that had cost someone a month's wages when it was new. His throat had been opened from ear to ear, and that was where the evidence started to disagree with itself. "Bakshi." "Mm?" "Where's the blood?" He glanced over her shoulder. "Pooled under him. Clothes are soaked through." "No. Look at the tile." She shifted her torch. The concrete lip of the platform was clean. Dry. The tiles behind the body, where arterial spray should have painted the wall in a fan six feet wide, showed nothing but a century of soot and a faint bloom of damp. A man bled out like that, the scene looked like an abattoir. She'd seen it. She'd tasted it in her sinuses for days afterwards. "Maybe he was killed elsewhere and dumped," Bakshi offered. "In a station with no access?" "There's the service tunnel." "Through which you'd drag a body how? On what? There aren't even scuff marks on the stairs." She stood, her knees objecting. Forty-one and the damp got into everything. "And his suit. Front's wet. Back's dry. Lay a man down bleeding and the blood goes where gravity tells it to go. This blood decided to stay with him." Bakshi gave her the look he reserved for her more annoying observations. "So he was killed standing up, leaned against a wall, then laid down." "Then we'd still have spray. On something. The ceiling. The pillars." "Maybe the killer cleaned up." "With what. A sponge and a century of patience." She walked a slow circle around the body, torch moving methodically. "No footprints in the dust. Not his, not the killer's, not the urban explorers'." "The kids said they didn't come close." "They didn't have to. We're breathing the dust off the floor right now and I can see our prints from the stairs. So where are theirs?" Bakshi said nothing for a moment. His pen came out from behind his ear and he wrote something down. That, at least, was one of his virtues. He let her work. She knelt again. The wound was the worst of it. Too clean. She'd attended sixty-one murders with blades in her eighteen years, and not one of them had looked like this. Skin parted like cut silk. No hesitation, no sawing, no tearing at the edges. Not even the pull of a very sharp knife through muscle, which always left its signature. The wound looked as though it had been drawn, not cut. And there, beneath his collar, where the knot of his tie had slipped loose: a mark. She tugged the fabric back with the end of her pen. A burn. Small, circular, no bigger than a penny, branded into the hollow of his throat an inch below the jaw. Raised. The skin around it was grey. "You seeing this, Bakshi?" He leaned over. "Cigarette burn?" "In a pattern." "What pattern." She angled the torch. In the centre of the burn, the flesh had been pressed into a design: three curves radiating from a point, like the spokes of half a wheel. "Old," she said. "Antemortem. Maybe by days." "Some sort of trafficking mark? Branding?" "Could be." She didn't think it was. She'd seen a pattern close to this one before, though she couldn't have said where. Her memory was reaching for something and finding the door shut. The feeling annoyed her the way a dropped name annoyed her, the way every odd case of the last three years annoyed her, since Morris— She closed that door herself. Not here. Not now. "Right." Bakshi straightened. "I'll grant you it's peculiar. But peculiar is what SOCO's for. My read? Professional hit. Somewhere else. Dumped here because it's the last place anyone would think to look. The lack of blood means exsanguination was off-site, the lack of prints means our killer's careful, and the burn is a calling card. We've got an organised offender using a forgotten bit of infrastructure. It's tidy." "It's too tidy." "That's the same thing." "No." She stood again and turned a full circle, slow, reading the platform the way she'd been taught to read a room twenty years ago at Hendon. Look for what shouldn't be there. Look for what should be and isn't. "Bakshi. The posters." "What about them." "They're dry." "They're posters." "They're paper posters in a Tube station that hasn't been climate-controlled since 1940. And the bulletin by the stairs, where the damp's coming through the wall behind it, isn't even buckled. Look at the ceiling. That's a water stain the size of a dinner plate. But the plaster beneath it is perfect." He looked. She watched him look, and she watched the crease come into his forehead that meant he'd noticed, even if he wasn't ready to say so yet. "And him." She pointed at the body. "Lying on a platform that hasn't been cleaned in eighty years. Where's the dust on his jacket?" Bakshi didn't answer. Quinn crouched one more time and brought her torch down close to the tile by the dead man's hand. There, in the thin skim of grime, was a single mark, half an inch long. A scratch. Fresh. Made, she'd have bet, in the last twelve hours, by something narrow and hard dragged in a curve. Part of a circle. She followed its arc with her eye and found, a foot further on, another scratch. And another. Someone had drawn a ring around the body, in the dust, and then rubbed most of it out. Most of it. Not all. "Bakshi," she said quietly, "get SOCO down here and tell them to photograph the floor before they do anything else. All of it. Every tile. And I want the body rolled on my signal, not before." "What have you got?" She didn't answer straight away. The sweet-copper smell seemed stronger now she was still. Her watch, on her left wrist, had stopped. She noticed it without surprise, the way she'd begun to notice a great many small impossibilities in the last three years, and she made a note of the time on her phone instead: 02:47. "I've got a scene that's been staged," she said at last. "By someone who knew what they were covering up. And didn't quite manage it."
created_at"2026-04-24T13:31:16.968Z" 4/24/2026, 1:31:16 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency853
moderation_latency(null)
generation_time37975
tokens_prompt1149
tokens_completion1915
native_tokens_prompt1600
native_tokens_completion2559
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"
usage0.071975
router(null)
provider_responses
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is_byokfalse
latency853
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
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request_id"req-1777037476-2vKXiAxCW5sYtrI4oG2y"
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api_type"completions"
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upstream_id"f9f3f2ef-8946-468f-9239-e3f99eb1866d"
total_cost0.071975
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount2
adverbTags
0"She stood again [again]"
1"she said quietly [quietly]"
dialogueSentences48
tagDensity0.25
leniency0.5
rawRatio0.167
effectiveRatio0.083
96.11% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1287
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)
92.23% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1287
totalAiIsms2
found
0
word"silk"
count1
1
word"perfect"
count1
highlights
0"silk"
1"perfect"
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
narrationSentences86
matches(empty)
93.02% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences86
filterMatches
0"look"
1"watch"
hedgeMatches
0"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences122
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen66
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1287
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount840
uniqueNames14
maxNameDensity0.71
worstName"Bakshi"
maxWindowNameDensity2
worstWindowName"Bakshi"
discoveredNames
Harlow1
Quinn3
Tube1
Blitz1
Northern1
Line1
TfL1
Edwardian1
Bovril1
Forty-one1
Bakshi6
Morris1
Hendon1
Look2
persons
0"Harlow"
1"Quinn"
2"Blitz"
3"Bakshi"
4"Morris"
places
0"Northern"
1"Hendon"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount3
matches
0"looked like an abattoir"
1"looked like this"
2"seemed stronger now she was still"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1287
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences122
matches
0"like that, the"
1"closed that door"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs59
mean21.81
std21.74
cv0.997
sampleLengths
07
170
216
35
47
566
612
726
84
920
1043
111
121
133
1412
155
1669
179
186
194
2058
2125
2211
235
2434
257
2626
2731
2872
2927
3028
314
325
333
342
3531
367
376
3858
399
4068
413
424
4343
443
452
462
4752
4828
4924
84.86% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences86
matches
0"been closed"
1"been opened"
2"been drawn"
3"been pressed"
4"been taught"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs133
matches
0"was reaching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences122
ratio0.008
matches
0"The feeling annoyed her the way a dropped name annoyed her, the way every odd case of the last three years annoyed her, since Morris—"
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount844
adjectiveStacks1
stackExamples
0"great many small impossibilities"
adverbCount23
adverbRatio0.027251184834123223
lyAdverbCount2
lyAdverbRatio0.002369668246445498
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences122
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences122
mean10.55
std10.27
cv0.973
sampleLengths
07
134
26
36
418
52
64
710
86
95
107
1117
1210
1316
144
1519
1612
1718
188
194
2020
215
2218
2320
241
251
263
275
287
295
304
318
321
3332
3412
353
369
379
386
394
4022
417
4229
4312
4413
4511
465
4720
4814
497
76.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4918032786885246
totalSentences122
uniqueOpeners60
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences71
matches(empty)
ratio0
56.62% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences71
matches
0"It always did in these"
1"She stepped onto the platform"
2"His throat had been opened"
3"He glanced over her shoulder."
4"She shifted her torch."
5"She'd seen it."
6"She'd tasted it in her"
7"She stood, her knees objecting"
8"She walked a slow circle"
9"His pen came out from"
10"He let her work."
11"She knelt again."
12"She'd attended sixty-one murders with"
13"She tugged the fabric back"
14"He leaned over."
15"She angled the torch."
16"She didn't think it was"
17"She'd seen a pattern close"
18"Her memory was reaching for"
19"She closed that door herself."
ratio0.408
51.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences71
matches
0"The pigeons had found the"
1"Detective Harlow Quinn ducked under"
2"It always did in these"
3"A uniformed constable lifted the"
4"She stepped onto the platform"
5"The Tube station had been"
6"Camden adjacent, though the maps"
7"A kink in the Northern"
8"The tiling was Edwardian."
9"The posters on the walls"
10"The body lay at the"
11"Bakshi came out of the"
12"Quinn crouched beside the body."
13"Male, forty-odd, dressed in a"
14"His throat had been opened"
15"He glanced over her shoulder."
16"She shifted her torch."
17"The concrete lip of the"
18"The tiles behind the body,"
19"A man bled out like"
ratio0.817
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences71
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount1
matches
0"Male, forty-odd, dressed in a charcoal suit that had cost someone a month's wages when it was new."
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount2
matches
0"She stood, her knees objecting"
1"She walked, torch moving methodically"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences48
tagDensity0.063
leniency0.125
rawRatio0
effectiveRatio0
82.8766%