Run: 2026-04-24-01KQ0GDASWFVQPECS6PZ74F1H9

Run Details

Duration:
32.3s
Cost:
$0.067200
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 lift at Aldgate East had been out of service since Tuesday, which meant Quinn took the stairs, and the stairs took their time with her knees. She counted the landings out of habit. Four. The uniformed constable at the top had the pale, tight-lipped look of a man who'd already thrown up once and was calculating the odds on a second round. "Ma'am. DI Patel's down on the eastbound platform." "How long's it been sealed?" "Since half four. Cleaners found him." Quinn ducked under the tape. The station smelled the way old Tube stations always smelled, of brake dust and wet stone, but underneath that tonight sat something sweeter. Copper and ozone. She'd smelled it before, three years ago, in a warehouse in Bermondsey, the night Morris stopped answering his radio. She pushed that down where it lived and kept walking. Patel stood at the far end of the platform with a clipboard and a coffee he wasn't drinking. The body lay three metres from the yellow line, curled on its side, one arm extended as though reaching for something that had already gone. Male, late thirties, city suit, shoes polished that morning by someone who knew their way around a brush. "Quinn." Patel lifted the coffee in a tired salute. "Thought you were off rotation." "I was. Stratton called." "Of course he did." Patel sniffed. "It's a mugging gone sour. Wallet's gone, watch's gone, phone's gone. Probably got pushed, cracked his head, suspect panicked. We'll have him on camera before midnight." Quinn crouched. Her knees complained. She ignored them. "Which camera?" Patel pointed up the platform. "That one covers the stairs. We've got him coming down at twenty-two eighteen. Alone." "And the suspect?" "Not yet. Blind spot between eastbound and westbound. He'll turn up." She leaned closer to the body. No lividity on the face. No bruising at the temple either, despite Patel's cracked-head theory. The man's collar sat clean, no arterial spray, no ligature marks. His right hand was cupped, fingers curled inward as though he'd been holding something small when he went down. "Patel. Where's the blood?" "Back of the skull. Hairline fracture. SOCO's photographed it." "No. I mean on the platform." Patel frowned and stepped forward. The tiles under the body were dry. No smear, no pooling, nothing but the faint halo of dust that every Tube platform wore like a second skin. "He was moved," Patel said, and then, because he heard himself, "or he fell forward after the impact and the bleed was internal." "Internal bleeding from a hairline fracture to the occipital." Quinn didn't make it a question. She turned the man's wrist over with one gloved finger. The skin there was bleached pale, a band two centimetres wide around the joint, the exact shape of a watch that had been worn daily for years. "They took the watch." "As I said." "They took the watch, and the wallet, and the phone." She stood. Her knees thanked her by aching louder. "And they left this." She nodded toward the man's curled right hand. A thread of something dark had caught between his index and middle fingers. Not blood. Finer. It caught the fluorescent light and threw it back wrong, the way oil on water threw back a rainbow that shouldn't have been there. "Hair?" Patel offered. "No." Quinn crouched again, tipped her head. The thread moved. Not with the breath of the tunnels, not with any draft she could feel against her own cheek. It moved on its own, a slow curl, like smoke deciding which way to go. She watched it for a full three seconds before it stilled. She straightened. Her face gave nothing away. It never did. Eighteen years of standing over bodies taught you how to keep your mouth a line. "Patel. Who's been on the platform since the cleaners called it in?" "Me. SOCO. The doctor. Two uniforms." "Anyone touch him?" "Doctor confirmed death. Gloves on. I watched her." Quinn walked a slow circle around the body, eyes tracking the floor. Three metres from the yellow line. The man had come down the stairs, according to Patel's camera, at twenty-two eighteen. She paced it out. From the base of the stairs to where he lay was perhaps twenty metres. Twenty metres along an empty platform, and he'd fallen here, almost exactly halfway between two support pillars. Not near a bench. Not near the exit. In the open. "Was the train running?" "Last eastbound through at twenty-two twenty-one. Driver reported nothing." "Three minutes." Quinn did the arithmetic without moving her lips. A healthy man in polished shoes could walk the length of this platform in thirty seconds. What had he been doing for the other two and a half minutes? She turned in place. The tiled wall behind her was the usual mid-century cream, scarred by decades of adverts pasted and scraped. But along the lower edge, where the tile met the skirting, a faint mark traced the wall for perhaps two metres before cutting off. A smudge, almost. Too low to catch the eye. Too regular to be dirt. She crossed to it and went down on one knee again. A line, drawn or burned or both, thin as a pencil stroke. It ran in an arc. She followed its curve with her eyes and saw where the arc would have continued, had it not been scuffed out: a ring, centred on the spot where the body now lay. "Patel. Come here." He came, reluctant, his coffee sloshing over the rim. "What am I looking at?" "Tell me what you see." He crouched. Squinted. "Scuff mark. Cleaner's mop, probably." "Mop wouldn't leave a line this fine." She held her hand above the mark without touching it. The air there was colder. Not much. Enough. "And cleaners hadn't been through yet tonight. You said they found him." Patel was quiet. Quinn stood, slower this time, and looked down at the dead man and his empty wrist and the thread of wrong-coloured something still caught in his fingers. The sweet copper smell sat at the back of her throat like a coin she couldn't swallow. "Not a mugging," she said. "Then what?" She didn't answer. She pulled her phone from her coat and, under the lip of the clipboard where Patel couldn't see, scrolled to a number she hadn't called in eleven months. Eva Kowalski. British Museum. Her thumb hovered.
created_at"2026-04-24T19:45:32.993Z" 4/24/2026, 7:45:32 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2634
moderation_latency(null)
generation_time32184
tokens_prompt1149
tokens_completion1696
native_tokens_prompt1600
native_tokens_completion2368
native_tokens_completion_images(null)
native_tokens_reasoning71
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"
usage0.0672
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"9c997443-af32-4da7-bdb8-bfa2a08edba9"
is_byokfalse
latency900
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-1777059932-yC5fx0YHquEfoDt0I7Md"
session_id(null)
api_type"completions"
id"gen-1777059932-yCvqgqAW953D9Pvk4hNe"
upstream_id"9c997443-af32-4da7-bdb8-bfa2a08edba9"
total_cost0.0672
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
totalTags10
adverbTagCount1
adverbTags
0"Quinn crouched again [again]"
dialogueSentences38
tagDensity0.263
leniency0.526
rawRatio0.1
effectiveRatio0.053
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1071
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
85.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1071
totalAiIsms3
found
0
word"calculating"
count1
1
word"could feel"
count1
2
word"traced"
count1
highlights
0"calculating"
1"could feel"
2"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
narrationSentences85
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences85
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences113
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1071
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount830
uniqueNames10
maxNameDensity1.33
worstName"Patel"
maxWindowNameDensity3.5
worstWindowName"Patel"
discoveredNames
Aldgate1
East1
Tuesday1
Quinn8
Tube2
Bermondsey1
Morris1
Patel11
Kowalski1
Museum1
persons
0"East"
1"Quinn"
2"Morris"
3"Patel"
4"Kowalski"
places
0"Aldgate"
1"Bermondsey"
globalScore0.837
windowScore0.5
97.92% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount1
matches
0"as though reaching for something that had already gone"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1071
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences113
matches
0"polished that morning"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs51
mean21
std20.95
cv0.998
sampleLengths
063
18
25
36
450
510
661
714
84
932
108
112
1219
133
1411
1551
164
179
186
1932
2023
2156
223
2323
2448
253
2654
2725
2812
296
303
318
3278
334
349
3539
3660
3711
3849
393
409
415
425
438
4437
453
4644
475
482
4935
92.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences85
matches
0"was cupped"
1"was bleached"
2"been worn"
3"been scuffed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs138
matches
0"was calculating"
1"wasn't drinking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences113
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount835
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.022754491017964073
lyAdverbCount2
lyAdverbRatio0.0023952095808383233
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences113
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences113
mean9.48
std7.59
cv0.801
sampleLengths
027
17
21
328
48
55
66
75
823
93
1019
1110
1218
1325
1418
159
165
174
186
1926
202
213
223
232
245
2514
263
2711
286
295
3010
3111
3219
334
349
356
365
377
3820
3923
4015
4110
4227
434
443
4512
467
474
488
4913
68.44% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.4424778761061947
totalSentences113
uniqueOpeners50
95.24% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences70
matches
0"Too low to catch the"
1"Too regular to be dirt."
ratio0.029
77.14% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences70
matches
0"She counted the landings out"
1"She'd smelled it before, three"
2"She pushed that down where"
3"Her knees complained."
4"She ignored them."
5"She leaned closer to the"
6"His right hand was cupped,"
7"She turned the man's wrist"
8"Her knees thanked her by"
9"She nodded toward the man's"
10"It caught the fluorescent light"
11"It moved on its own,"
12"She watched it for a"
13"Her face gave nothing away."
14"It never did."
15"She paced it out."
16"She turned in place."
17"She crossed to it and"
18"It ran in an arc."
19"She followed its curve with"
ratio0.357
74.29% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences70
matches
0"The lift at Aldgate East"
1"She counted the landings out"
2"The uniformed constable at the"
3"Quinn ducked under the tape."
4"The station smelled the way"
5"Copper and ozone."
6"She'd smelled it before, three"
7"She pushed that down where"
8"Patel stood at the far"
9"The body lay three metres"
10"Patel lifted the coffee in"
11"Her knees complained."
12"She ignored them."
13"Patel pointed up the platform."
14"She leaned closer to the"
15"The man's collar sat clean,"
16"His right hand was cupped,"
17"Patel frowned and stepped forward."
18"The tiles under the body"
19"Patel said, and then, because"
ratio0.771
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences70
matches(empty)
ratio0
37.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount5
matches
0"The lift at Aldgate East had been out of service since Tuesday, which meant Quinn took the stairs, and the stairs took their time with her knees."
1"The uniformed constable at the top had the pale, tight-lipped look of a man who'd already thrown up once and was calculating the odds on a second round."
2"Male, late thirties, city suit, shoes polished that morning by someone who knew their way around a brush."
3"His right hand was cupped, fingers curled inward as though he'd been holding something small when he went down."
4"The skin there was bleached pale, a band two centimetres wide around the joint, the exact shape of a watch that had been worn daily for years."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"Patel sniffed (sniff)"
dialogueSentences38
tagDensity0.079
leniency0.158
rawRatio0.333
effectiveRatio0.053
88.6570%