Run: 2026-04-24-01KPZV2DMAYMZEFNQWQ3N0ZCT3

Run Details

Duration:
33.1s
Cost:
$0.063225
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
Rain had been falling on Camden since sunset, and by the time Detective Harlow Quinn ducked under the cordon tape at the mouth of the abandoned Tube station, the gutters were running black with soot and tobacco ends. She flashed her warrant card at the PC on the steps without slowing, peeled off her coat as she descended, and counted the tiles on the wall out of habit. Forty-seven green. Twelve cracked. One smeared with what the SOCO photographer was calling blood. She wasn't sure it was. "Ma'am." DI Raj Mehta met her at the bottom of the staircase, torch tucked under his arm, gloves already on. "Cleaner found the body at five past four. He came down to chase out a rough sleeper and got more than he bargained for." "Cleaner." Quinn paused on the last step. "Station's been boarded since ninety-two." "Council contract. Pest inspection, twice a year." "Huh." The platform stretched away under a string of temporary worklights the uniforms had rigged to a petrol generator. The air smelled of diesel, damp chalk, and something sweeter underneath, like burnt sugar left too long in a pan. Quinn thumbed the catch on her watch — a nervous tic she'd picked up from her father — and stepped around a puddle that should have been water and wasn't, quite. The body lay at the far end, crumpled between the yellow line and the lip of the platform. Male, mid-forties, wool coat, one shoe. The other shoe sat three feet away, upright, as if its owner had simply stepped out of it. "Cause?" she asked. "Best guess, blunt force to the occipital." Mehta crouched, pointed with the end of his pen. "See the depression? Someone caught him from behind. Pathologist thinks maybe a length of pipe." "Time?" "Rigor's advanced. Twelve hours, give or take." Quinn knelt. Her knees complained — the damp did that now, a small betrayal she refused to dignify with medication. She studied the wound. Then the shoe. Then the wound again. "Mehta." "Ma'am." "Where's the blood?" He blinked. Looked down. A thin crust had dried into the man's collar, another smear on the tile beneath his cheek, but the spatter pattern she'd expected — the arterial fan, the drag, the pooling — simply wasn't there. A blow like that should have painted a square metre. "Must've been moved," Mehta said. "Dumped here after." "Through a station that's been sealed for thirty-one years?" "Maintenance hatch up by the tunnel mouth. Padlock's off. I was coming to that." Quinn rose. Her back cracked. She walked the ten paces to the tunnel mouth and shone her torch along the padlock chain where it lay coiled on the concrete. The hasp was intact. The shackle hadn't been cut. The lock itself sat snug, tumblers aligned, as if someone had simply lifted it off and put it back. "Bolt cutters would've left burrs," she said. "Picked, then." "By whom? He's not a user, look at his hands. Manicure's less than a week old. That's not a drag-body-through-a-tunnel kind of man." Mehta joined her, shoulders tight inside his anorak. He was young enough to still take contradiction personally. "So what's your read, ma'am?" She didn't answer straight away. Instead, she walked back to the body and did what she'd been taught in her second week at Hendon: she stopped looking at what was there and started looking at what wasn't. No blood trail. No drag marks on a floor thick enough with dust to hold a footprint for a decade. No footprints, in fact, besides the cleaner's and Mehta's. She crouched again. Lifted the dead man's hand. The fingers were curled, not into a fist but around something absent — the specific shape a hand makes when it's been gripping a cord or a strap. She tilted the palm to the light. A mark ran across it, thin and red, as if a wire had been pulled through hard enough to burn. "Something was taken off him," she said. "His wallet's still in his coat. Watch too. Rolex, not even a knock-off." "Not something valuable. Something specific." She traced the line on the palm. Not quite a ligature. The wrong angle, the wrong depth. More like a lanyard yanked free. She thought of things a man might wear round his neck and let her torch drift up. His collar was open. A paler strip of skin ran from his collarbone up under his jaw, the kind of line that took months of sun to develop and seconds to notice if you were looking for it. "He was wearing something on a cord, day and night, long enough to tan around it. Not a chain, or the marks would be different. Leather, maybe. And whoever was here took it and only it." Mehta frowned. "Ma'am, with respect, we're ten minutes into this. You've got him mugged for a necklace by someone who can pass through locked doors." "I've got him killed somewhere else," she said, "and arranged here. Look at the shoe." "It came off when he fell." "It came off and stood up." She stepped over and nudged it with a gloved finger. The shoe rocked, settled. "Shoes that come off in a fall land on their sides. This one's on its sole. Whoever placed him set it down like that. Careful. Almost —" She stopped. Almost reverent, she'd been going to say. The sweet burnt-sugar smell was stronger near the shoe. She leaned closer and saw it then, faint as a breath on glass: a ring of fine white powder around the sole, perfectly circular, broken only where the shoe touched the tile. Salt, maybe. Or something that looked enough like it to fool a cleaner and a detective inspector. "Mehta. Get the photographer back. I want this entire radius shot before anyone else walks it. And call Eva Kowalski at the Museum." "The — sorry, ma'am, the archivist?" "Tell her I've got something she'll want to look at." He opened his mouth, closed it, and went. Quinn stayed where she was, crouched on aching knees beside a dead man who had been carried here by someone who had not, in any conventional sense, come through the door. On her left wrist, the leather strap of her watch had darkened with damp. She felt the second hand tick against her pulse and, underneath it, the older pulse of a case three years cold — Morris on the pavement, Morris gone, and the circle of white powder nobody at the time had bothered to name. She'd named a lot of things wrong, back then. She wasn't going to do it twice.
created_at"2026-04-24T13:32:35.35Z" 4/24/2026, 1:32:35 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency948
moderation_latency(null)
generation_time33043
tokens_prompt1149
tokens_completion1641
native_tokens_prompt1600
native_tokens_completion2209
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"
usage0.063225
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provider_responses
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is_byokfalse
latency948
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
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request_id"req-1777037555-YDlH6cnVFYlH4hoTRk55"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences34
tagDensity0.265
leniency0.529
rawRatio0
effectiveRatio0
95.46% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1101
totalAiIsmAdverbs1
found
0
adverb"perfectly"
count1
highlights
0"perfectly"
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)
81.83% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1101
totalAiIsms4
found
0
word"aligned"
count1
1
word"traced"
count1
2
word"pulse"
count2
highlights
0"aligned"
1"traced"
2"pulse"
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
narrationSentences69
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences69
filterMatches
0"watch "
1"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences94
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1109
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount797
uniqueNames9
maxNameDensity0.75
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden1
Detective1
Harlow1
Quinn6
Tube1
Raj1
Mehta6
Hendon1
Morris2
persons
0"Harlow"
1"Quinn"
2"Mehta"
3"Morris"
places
0"Hendon"
globalScore1
windowScore1
89.02% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount1
matches
0", quite"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.902
wordCount1109
matches
0"not into a fist but around something absent"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences94
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean22.63
std22.43
cv0.991
sampleLengths
082
15
244
312
47
51
669
742
83
931
101
117
1231
131
141
153
1649
178
189
1914
2057
217
222
2323
2422
2537
263
2717
289
2963
307
3113
325
3378
3436
3525
3615
376
3847
392
407
4158
4223
436
4410
4539
4656
479
487
84.92% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences69
matches
0"been taught"
1"were curled"
2"been pulled"
3"was, crouched"
4"been carried"
47.33% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs131
matches
0"were running"
1"was calling"
2"were looking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences5
totalSentences94
ratio0.053
matches
0"Quinn thumbed the catch on her watch — a nervous tic she'd picked up from her father — and stepped around a puddle that should have been water and wasn't, quite."
1"Her knees complained — the damp did that now, a small betrayal she refused to dignify with medication."
2"A thin crust had dried into the man's collar, another smear on the tile beneath his cheek, but the spatter pattern she'd expected — the arterial fan, the drag, the pooling — simply wasn't there."
3"The fingers were curled, not into a fist but around something absent — the specific shape a hand makes when it's been gripping a cord or a strap."
4"She felt the second hand tick against her pulse and, underneath it, the older pulse of a case three years cold — Morris on the pavement, Morris gone, and the circle of white powder nobody at the time had bothered to name."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount647
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.03709428129829984
lyAdverbCount4
lyAdverbRatio0.0061823802163833074
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences94
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences94
mean11.8
std10.3
cv0.873
sampleLengths
038
130
22
32
410
55
620
724
87
95
107
111
1218
1320
1431
1518
166
1718
183
1916
2015
211
227
232
2418
254
263
274
281
291
303
312
322
3335
3410
355
363
379
3814
392
403
4124
424
435
4419
457
462
4723
488
499
73.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.5106382978723404
totalSentences94
uniqueOpeners48
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences55
matches
0"Then the shoe."
1"Then the wound again."
2"Instead, she walked back to"
3"More like a lanyard yanked"
4"Almost reverent, she'd been going"
ratio0.091
81.82% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences55
matches
0"She flashed her warrant card"
1"She wasn't sure it was."
2"Her knees complained — the"
3"She studied the wound."
4"Her back cracked."
5"She walked the ten paces"
6"He was young enough to"
7"She didn't answer straight away."
8"She crouched again."
9"She tilted the palm to"
10"She traced the line on"
11"She thought of things a"
12"His collar was open."
13"She stepped over and nudged"
14"She leaned closer and saw"
15"He opened his mouth, closed"
16"She felt the second hand"
17"She'd named a lot of"
18"She wasn't going to do"
ratio0.345
96.36% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences55
matches
0"Rain had been falling on"
1"She flashed her warrant card"
2"She wasn't sure it was."
3"Quinn paused on the last"
4"The platform stretched away under"
5"The air smelled of diesel,"
6"Quinn thumbed the catch on"
7"The body lay at the"
8"The other shoe sat three"
9"Mehta crouched, pointed with the"
10"Her knees complained — the"
11"She studied the wound."
12"A thin crust had dried"
13"A blow like that should"
14"Her back cracked."
15"She walked the ten paces"
16"The hasp was intact."
17"The shackle hadn't been cut."
18"The lock itself sat snug,"
19"Mehta joined her, shoulders tight"
ratio0.727
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
57.14% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount3
matches
0"A paler strip of skin ran from his collarbone up under his jaw, the kind of line that took months of sun to develop and seconds to notice if you were looking fo…"
1"Or something that looked enough like it to fool a cleaner and a detective inspector."
2"Quinn stayed where she was, crouched on aching knees beside a dead man who had been carried here by someone who had not, in any conventional sense, come through…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences34
tagDensity0.147
leniency0.294
rawRatio0
effectiveRatio0
86.9099%