Run: 2026-04-24-01KQ0G8ETR4D3003J4KBJPAMG4

Run Details

Duration:
30.6s
Cost:
$0.064475
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 ticket hall stank of wet copper and something older, something Quinn couldn't name but recognised in the base of her skull. She ducked under the tape strung across the boarded entrance to the old Camden Tube station and descended, torch beam skimming tile that hadn't seen polish since the Blitz. "Ma'am." DC Rahimi met her halfway down, clipboard clutched to his chest like a shield. "Body's on the eastbound platform. Forensics is already down." "Who called it in?" "Urban explorer. Kid climbed in through the ventilation shaft on Kentish Town Road." He swallowed. "He's upstairs with a paramedic. Won't stop shaking." Quinn thumbed her torch off as they cleared the last flight. The platform had its own light, portable halogens set up in a crooked semi-circle, and the glare turned every shadow into an accusation. The smell thickened — iron, yes, but also a sweetness underneath, like overripe fruit left in a drawer. DI Callum Reeves stood at the edge of the cordon, notebook open, pen tapping his teeth. He turned at her approach and offered the half-smile he reserved for ex-colleagues he still liked. "Harlow. Thought you were off rotation this week." "I was. Chief Super rang." She stepped past him. "Said the scene was, and I quote, 'unusual.'" "He's got a gift for understatement." The body lay on its back between the platform edge and the tiled wall. Male, mid-thirties, charcoal overcoat, one brown brogue missing. His eyes were open and very clear. No blood pool. No wound visible at this angle. Quinn crouched, knees complaining, and tilted her head until the halogen found the side of his throat. Nothing. Skin unmarked. "Cause of death?" "Forensics is calling it cardiac, pending post-mortem." Reeves crouched beside her. "Probably got spooked down here. Dark place. Dodgy heart. Falls, dies. Kid finds him two days later." "Two days?" "Lividity suggests it." Quinn didn't answer. She was looking at the floor. The platform was filthy — decades of dust, rat droppings, the powdery residue of fallen tile grout. But around the body, in a rough oval perhaps three metres across, the floor was clean. Not wiped clean. Scoured. As if something had drawn the dust up and away, leaving the concrete beneath exposed and pale. "You see this?" Reeves frowned. "See what?" "The dust." "What about it?" "There isn't any." She traced the oval with her torch. "Here. And here. Stops dead at this line." "Draught, maybe. Trains haven't run through here in seventy years but the tunnels still breathe." "A draught would smear it. This is a hard edge." Reeves stood, knees popping. "Harlow. The man had a heart attack in a derelict station. The interesting bit is how he got in, not what the dust's doing." She heard him, and didn't. Her eye had caught something else. She leaned closer to the body, close enough that the sweet rot smell climbed into her sinuses, and she held her breath. His left hand was curled, palm up. Between the index and middle finger, almost hidden in the crease, sat a small dark fleck. She fished a glove from her pocket, pulled it on, and teased the thing free. A sliver of bone. Yellowed. The edge worked smooth, not snapped. A fragment of something that had been whole and deliberate. "What've you got?" "Bone chip." She held it to the light. Marks, tiny ones, too regular to be natural. "Engraved." Reeves took it from her, squinted. "Piece of jewellery. Tooth from an old necklace, maybe. Means nothing." "It means he was carrying something made of bone, and now he isn't." "Or the explorer kid pocketed the rest before we got here." "The kid's eighteen and covered in his own vomit. You think he stopped to harvest souvenirs?" Reeves gave her the look. The one that meant: don't make this one of yours. She ignored it. She stood, turned a slow circle, and let the platform arrange itself behind her eyes. The halogens. The oval of clean concrete. The body, not flung, not dragged — placed. Legs straight. Arms at his sides, apart from that one curled hand. His overcoat was open. His shirt was buttoned wrong, one hole off from the top, as if he'd dressed in the dark or in a hurry. "Reeves. Where's his shoe?" "What?" "He's missing the right brogue. Where is it?" Reeves scanned the platform. "Fell off in the struggle?" "You said there wasn't a struggle." "I said heart attack." "Right." She walked the oval's perimeter. "So where is it?" They looked. Forensics looked. Rahimi joined in, grateful for a task. The shoe was not on the platform, not on the tracks below, not in the stairwell, not in the ticket hall. A polished brown brogue, size ten, vanished. Quinn came back to the body. Her left wrist itched under the leather strap of her watch; she rubbed it without thinking. Eighteen years of service had taught her that the wrong things at a scene were rarely the loud things. It was always the small absence. A missing shoe. A clean circle of floor. A bone chip in a dead man's hand. She knelt again. Looked at his face. Clear eyes, mouth slightly open, an expression she'd seen before — not fear, not pain. Recognition. He had seen whoever, or whatever, had come for him, and he'd known it. Three years ago, Morris had worn that same expression in the last photograph Quinn ever took of him alive. She had not allowed herself to think of it since. She did not allow herself now, not fully, only enough to register the shape of the thought before she put it down. "Reeves." "Hm?" "When's the next full moon?" He stared at her. "You're joking." "Humour me." He pulled out his phone, thumbed at it, and frowned at the screen. "Tonight. Why?" Quinn looked down at the dead man, at the oval of swept concrete, at the bone chip now sealed in an evidence bag on her palm. "Because this station is about to have visitors," she said, "and I don't think any of them will be ours."
created_at"2026-04-24T19:42:53.277Z" 4/24/2026, 7:42:53 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2123
moderation_latency(null)
generation_time30567
tokens_prompt1149
tokens_completion1607
native_tokens_prompt1600
native_tokens_completion2259
native_tokens_completion_images(null)
native_tokens_reasoning54
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"
usage0.064475
router(null)
provider_responses
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endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"57e186b0-14f7-46bd-9a60-23e656076c18"
is_byokfalse
latency673
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-1777059773-MNwu1UyRMqKrDTdmZksX"
session_id(null)
api_type"completions"
id"gen-1777059773-zj94XD3WkLdStC7THo21"
upstream_id"57e186b0-14f7-46bd-9a60-23e656076c18"
total_cost0.064475
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences45
tagDensity0.178
leniency0.356
rawRatio0
effectiveRatio0
90.16% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1016
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"slightly"
count1
highlights
0"very"
1"slightly"
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)
90.16% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1016
totalAiIsms2
found
0
word"traced"
count1
1
word"scanned"
count1
highlights
0"traced"
1"scanned"
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
narrationSentences79
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences79
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences116
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1020
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount735
uniqueNames9
maxNameDensity0.95
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Reeves"
discoveredNames
Quinn7
Camden1
Tube1
Blitz1
Rahimi2
Callum1
Reeves7
Marks1
Morris1
persons
0"Quinn"
1"Rahimi"
2"Reeves"
3"Morris"
places(empty)
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1020
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences116
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs55
mean18.55
std17.96
cv0.969
sampleLengths
051
124
24
323
452
532
68
717
86
955
103
113
1228
132
143
159
1654
173
184
192
203
2118
2215
2310
2428
2533
2638
2721
283
2917
3017
3113
3211
3316
3415
3571
364
371
388
399
406
414
4210
4339
4463
4537
4651
471
481
495
96.38% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences79
matches
0"was curled"
1"was buttoned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs124
matches
0"was looking"
19.70% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount1
flaggedSentences5
totalSentences116
ratio0.043
matches
0"The smell thickened — iron, yes, but also a sweetness underneath, like overripe fruit left in a drawer."
1"The platform was filthy — decades of dust, rat droppings, the powdery residue of fallen tile grout."
2"The body, not flung, not dragged — placed."
3"Her left wrist itched under the leather strap of her watch; she rubbed it without thinking."
4"Clear eyes, mouth slightly open, an expression she'd seen before — not fear, not pain."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount734
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.02452316076294278
lyAdverbCount4
lyAdverbRatio0.005449591280653951
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences116
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences116
mean8.79
std6.67
cv0.758
sampleLengths
022
129
215
39
44
515
68
711
823
918
1016
1116
128
139
148
156
1614
178
187
193
206
2117
221
232
243
2511
2617
272
283
293
306
3117
3216
333
341
3517
363
372
382
392
403
4110
428
4315
4410
454
4624
475
486
4922
78.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.5172413793103449
totalSentences116
uniqueOpeners60
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences67
matches(empty)
ratio0
70.75% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences67
matches
0"She ducked under the tape"
1"He turned at her approach"
2"She stepped past him"
3"His eyes were open and"
4"She was looking at the"
5"She traced the oval with"
6"She heard him, and didn't."
7"Her eye had caught something"
8"She leaned closer to the"
9"His left hand was curled,"
10"She fished a glove from"
11"She held it to the"
12"She ignored it."
13"She stood, turned a slow"
14"His overcoat was open."
15"His shirt was buttoned wrong,"
16"She walked the oval's perimeter"
17"Her left wrist itched under"
18"It was always the small"
19"She knelt again."
ratio0.373
57.01% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences67
matches
0"The ticket hall stank of"
1"She ducked under the tape"
2"DC Rahimi met her halfway"
3"Quinn thumbed her torch off"
4"The platform had its own"
5"The smell thickened — iron,"
6"He turned at her approach"
7"She stepped past him"
8"The body lay on its"
9"His eyes were open and"
10"Quinn crouched, knees complaining, and"
11"Reeves crouched beside her"
12"Quinn didn't answer."
13"She was looking at the"
14"The platform was filthy —"
15"She traced the oval with"
16"Reeves stood, knees popping."
17"She heard him, and didn't."
18"Her eye had caught something"
19"She leaned closer to the"
ratio0.806
74.63% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences67
matches
0"As if something had drawn"
ratio0.015
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount3
matches
0"She ducked under the tape strung across the boarded entrance to the old Camden Tube station and descended, torch beam skimming tile that hadn't seen polish sinc…"
1"As if something had drawn the dust up and away, leaving the concrete beneath exposed and pale."
2"A fragment of something that had been whole and deliberate."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences45
tagDensity0.022
leniency0.044
rawRatio0
effectiveRatio0
87.7333%