Run: 2026-04-24-01KPZV2YEYE2NJS14CFX2A9ZYM

Run Details

Duration:
36.1s
Cost:
$0.060775
Provider:
Amazon Bedrock

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The tiles stopped halfway up the wall, as if the workmen had simply set down their trowels one afternoon in 1934 and never come back. Above the cream ceramic, the brick was the color of old tea, darkened further now by damp and by the body slumped against it. Detective Harlow Quinn ducked under the tape and let the smell of the place settle on her: iron, mildew, and something sweeter she could not yet name. Someone had rigged portable lamps on tripods, and their light made hard shadows of everything—the bowed rail of a ticket barrier, the peeling advertisement for a brand of tea nobody drank anymore, and the man on the floor, whose left hand was still curled around what used to be a briefcase handle. "Morning, guv." DC Patel stepped aside for her, clipboard tucked tight against his ribs. "Found by a track inspector at five-forty. He's in shock, up top with PC Meeks." "This station's been sealed since the war." "Since 'fifty-six, actually. Pedestrian tunnel collapse. They bricked the entrance on Camden High Street, but there's a service hatch behind the kebab shop. SOCO reckons that's how he got in." "And how our killer got in." "Or how the victim fell down the stairs and cracked his head," Patel said, with the careful neutrality of a man who had already made up his mind. "DCI Bowen's calling it misadventure pending the post-mortem. There's a half-bottle of Bell's in the jacket pocket." Quinn crouched. Her knees gave their familiar complaint. The victim was perhaps fifty, wearing a coat too good for the rest of him, his jaw slack, his eyes open on the tiled ceiling as if waiting for a train that was already decades late. Blood had pooled under his head and dried to the color of treacle. She counted the steps between the body and the old stairwell. Seven. Then eight. Nine. "He didn't fall," she said. Patel shifted. "Guv—" "Count them with me, Amrit. He's what, nine feet from the last riser? Ten? A man pitches forward down steps, he lands on the steps, or within arm's reach of them. He doesn't end up out here in the middle of the platform like he was laid down for a nap." She stood, worked her left wrist, felt the worn leather strap of her watch bite the old callus. "Bowen seen this yet?" "Briefly. He said the body could have been moved by the inspector." "The inspector who's in shock upstairs and who, according to you, didn't go within two yards of it because he phoned it in from the tunnel mouth." Patel exhaled. "Yes, guv." She made a slow circuit of the body, stepping carefully over the chalk the SOCO had already laid down. No drag marks in the dust. That was the first wrong thing. The platform had an inch-thick carpet of grime everywhere except a clean oval around the victim, as though someone had swept it with a broom. Or as though something had been set down very carefully and nothing had approached it since. The second wrong thing was the briefcase. Good leather, brass catches, but the catches had been sprung from the inside. She had seen that exactly once, in an arson case where the heat had popped the locks outward like corn. There was no heat here. The metal was cold to her fingertip. And yet the catches bulged, and the leather around them was faintly scorched. The third wrong thing was the smell. Under the iron and the mildew, that sweetness. Not decay, not yet. Something floral and burnt, like a censer after Mass. "Patel. Give me your torch." He handed it over. She thumbed it on and played the beam along the wall behind the victim's head. The tiles there were soot-stained in a pattern she first took for old smoke damage, until she traced the edges with the light. The soot fanned outward from a point six inches above the man's crown, in a pattern like a pressed flower, or a palm. Five streaks. Almost fingers, but longer than fingers, and the thumb—if it was a thumb—was in the wrong place entirely. "Photographer," she called over her shoulder. "I want this wall. All of it." "Guv, with respect." Patel's voice was low, closer now. "Bowen's going to ask why we're taking pictures of water damage." "Then he can ask." She ran the beam lower. The victim's collar was buttoned neatly. His tie was knotted. His shoes—she crouched again, lifted the hem of his trouser cuff with a pen—were polished but the soles were dry. Perfectly dry. It had rained all night. The kebab shop's hatch opened onto an alley with two inches of standing water in it; she had waded through it herself coming in. She lowered the cuff. "He didn't walk here," she said. "Guv." "His shoes are dry, Amrit. His coat's dry. He's been in this station less than half an hour, by blood, but he hasn't touched a wet surface since last night. Someone carried him. Or—" She stopped. There was no *or* that she wanted to say out loud in front of Patel, who believed in mortgages and pensions and the straightforward wickedness of men. She straightened and let the torch beam drift along the platform edge, into the dark of the tunnel mouth. For an instant—she would swear to it later, alone, in her kitchen with the kettle screaming—the beam seemed to bend. Not refract. Bend, as if the air between her and the tunnel had a seam in it, and the light had caught the stitch. She thought of Morris. She thought of Morris for the first time that morning, and the thought arrived the way it always did: like a hand laid lightly on the back of her neck. Three years ago, a warehouse, a door that shouldn't have opened. Morris going through it ahead of her. Morris not coming back. A file stamped UNEXPLAINED and closed with the haste of men who did not want to explain. "Guv?" Patel said. "You all right?" Quinn clicked the torch off. The dark sprang back, with its sweet floral burn. "Get me everything on the victim by noon," she said. "Name, employer, last movements. And Amrit—" she turned, sharp jaw catching the lamp-light "—don't let Bowen sign this off as misadventure. Not today. Tell him I'm asking personally." "And what do I tell him you think it is?" She looked again at the handprint that was not quite a handprint, at the sprung catches, at the dry shoes of a man who had come into a wet city by no road she could name. "Tell him," she said, "I think it's the beginning of something."
created_at"2026-04-24T13:32:52.586Z" 4/24/2026, 1:32:52 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1828
moderation_latency(null)
generation_time36057
tokens_prompt923
tokens_completion1622
native_tokens_prompt1290
native_tokens_completion2173
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"
usage0.060775
router(null)
provider_responses
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is_byokfalse
latency1800
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-1777037572-dQQWz39Z2CrECyhBMV4f"
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api_type"completions"
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upstream_id"47d0c0f8-06d2-48a1-bded-e848e4b945dc"
total_cost0.060775
cache_discount(null)
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provider_name"Amazon Bedrock"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount1
adverbTags
0"DC Patel stepped aside [aside]"
dialogueSentences29
tagDensity0.414
leniency0.828
rawRatio0.083
effectiveRatio0.069
77.92% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1132
totalAiIsmAdverbs5
found
0
adverb"carefully"
count2
1
adverb"very"
count1
2
adverb"perfectly"
count1
3
adverb"lightly"
count1
highlights
0"carefully"
1"very"
2"perfectly"
3"lightly"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
91.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1132
totalAiIsms2
found
0
word"familiar"
count1
1
word"traced"
count1
highlights
0"familiar"
1"traced"
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
filterCount1
hedgeCount1
narrationSentences69
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences85
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen69
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1124
ratio0.001
matches
0"or"
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
totalMentions17
wordCount827
uniqueNames6
maxNameDensity0.85
worstName"Patel"
maxWindowNameDensity2
worstWindowName"Patel"
discoveredNames
Harlow1
Quinn3
Patel7
Mass1
Morris4
Bowen1
persons
0"Harlow"
1"Quinn"
2"Patel"
3"Morris"
places(empty)
globalScore1
windowScore1
33.72% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount2
matches
0"as if waiting for a train that was already decades late"
1"not quite a handprint, at the sprung catches, at the dry shoes of a man who had come into a wet city by no road she could name"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1124
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences85
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean34.06
std27.87
cv0.818
sampleLengths
049
179
229
37
430
56
645
772
85
93
1073
1112
1227
134
1472
1565
1628
175
1885
1913
2020
2174
226
231
2463
2563
2673
276
2814
2938
3010
3136
3211
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences69
matches
0"was buttoned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs130
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount1
flaggedSentences6
totalSentences85
ratio0.071
matches
0"Someone had rigged portable lamps on tripods, and their light made hard shadows of everything—the bowed rail of a ticket barrier, the peeling advertisement for a brand of tea nobody drank anymore, and the man on the floor, whose left hand was still curled around what used to be a briefcase handle."
1"Almost fingers, but longer than fingers, and the thumb—if it was a thumb—was in the wrong place entirely."
2"His shoes—she crouched again, lifted the hem of his trouser cuff with a pen—were polished but the soles were dry."
3"The kebab shop's hatch opened onto an alley with two inches of standing water in it; she had waded through it herself coming in."
4"For an instant—she would swear to it later, alone, in her kitchen with the kettle screaming—the beam seemed to bend."
5"\"Name, employer, last movements. And Amrit—\" she turned, sharp jaw catching the lamp-light \"—don't let Bowen sign this off as misadventure. Not today. Tell him I'm asking personally.\""
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount813
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.03567035670356704
lyAdverbCount9
lyAdverbRatio0.01107011070110701
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences85
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences85
mean13.22
std12.02
cv0.909
sampleLengths
025
124
227
352
414
515
67
730
86
928
1017
112
126
1336
1413
1511
161
172
181
195
202
211
2269
234
2412
2527
262
272
2819
296
306
3125
3216
337
3413
3520
365
377
3813
397
408
414
429
435
444
4515
4623
4723
482
4918
89.41% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5647058823529412
totalSentences85
uniqueOpeners48
61.73% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences54
matches
0"Almost fingers, but longer than"
ratio0.019
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences54
matches
0"Her knees gave their familiar"
1"She counted the steps between"
2"She stood, worked her left"
3"She made a slow circuit"
4"She had seen that exactly"
5"He handed it over."
6"She thumbed it on and"
7"she called over her shoulder"
8"She ran the beam lower"
9"His tie was knotted."
10"His shoes—she crouched again, lifted"
11"It had rained all night."
12"She lowered the cuff."
13"She straightened and let the"
14"She thought of Morris."
15"She thought of Morris for"
16"she turned, sharp jaw catching"
17"She looked again at the"
ratio0.333
80.37% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences54
matches
0"The tiles stopped halfway up"
1"Detective Harlow Quinn ducked under"
2"Someone had rigged portable lamps"
3"DC Patel stepped aside for"
4"Patel said, with the careful"
5"Her knees gave their familiar"
6"The victim was perhaps fifty,"
7"Blood had pooled under his"
8"She counted the steps between"
9"She stood, worked her left"
10"She made a slow circuit"
11"That was the first wrong"
12"The platform had an inch-thick"
13"The second wrong thing was"
14"She had seen that exactly"
15"The metal was cold to"
16"The third wrong thing was"
17"Something floral and burnt, like"
18"He handed it over."
19"She thumbed it on and"
ratio0.759
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences54
matches(empty)
ratio0
37.04% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount4
matches
0"The platform had an inch-thick carpet of grime everywhere except a clean oval around the victim, as though someone had swept it with a broom."
1"Or as though something had been set down very carefully and nothing had approached it since."
2"There was no *or* that she wanted to say out loud in front of Patel, who believed in mortgages and pensions and the straightforward wickedness of men."
3"She looked again at the handprint that was not quite a handprint, at the sprung catches, at the dry shoes of a man who had come into a wet city by no road she c…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences29
tagDensity0.241
leniency0.483
rawRatio0
effectiveRatio0
84.6005%