Run: 2026-07-01-01KWE8Q30JN17WFM8BVCZWGS4P

Run Details

Duration:
36.6s
Cost:
$0.026550
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
Detective Quinn ducked under the makeshift police tape strung across the mouth of the abandoned Tube station, the beam of her torch catching a hundred years of soot on the tiled walls. Camden Town station had been closed since the eighties, sealed up and forgotten, except by whoever left a body sprawled across the ticket hall floor. "Victim's male, thirties," DS Patel said, crouching by the corpse with his own torch angled low. "No ID. No wallet, no phone. Whoever did this cleaned him out." Quinn crouched opposite him, studying the man's face. His skin had a strange grey pallor, almost blue at the lips, and his eyes stayed half open, fixed on the cracked ceiling tiles above. "Cause of death?" "Waiting on the pathologist, but I'd guess exposure. No visible wounds. No blood." Patel gestured at the tiled floor, spotless save for a faint ring of frost radiating from the body like a halo. "Which is odd, given it's July." Quinn ran her torch along the frost pattern. It didn't melt, didn't even glisten the way ice should under direct light. She reached out and touched the edge of it with two fingers. Cold, yes, but dry. Powder, not water. "That's not frost," she said. "It's ash." "White ash." Patel shrugged. "Some kind of chemical residue, maybe. We'll bag it for forensics." She straightened, sweeping her torch across the ticket hall. The old turnstiles stood rusted in their tracks, one of them bent outward as though something had forced its way through rather than around. The tiled mural on the far wall, faded blue and cream, showed a scratch mark gouged so deep it exposed the brick beneath — five parallel lines, evenly spaced, curving in an arc no human hand could make. "Who found him?" "Anonymous call. Said they heard shouting down here around 3 a.m., came to investigate, saw the body, ran." Patel flipped his notebook shut. "Probably kids messing about. This place gets used for raves sometimes. Empty bottles, drug paraphernalia — wouldn't be the first OD we've pulled out of a boarded-up station." Quinn crouched again, closer to the body this time, and noticed something snagged in the dead man's clenched fist. She pulled a glove from her pocket, worked it onto her hand, and gently pried his fingers open. A small object dropped free — a coin, or what looked like one, except it was carved from bone rather than struck from metal, etched with symbols she didn't recognise. A single hole had been drilled through its centre, worn smooth as though from years on a string. "That's new," Patel said, leaning in. "Some sort of festival token? Bone carving's a niche hobby round here, apparently." "Bag it." Quinn turned the object over once more before dropping it into the evidence sleeve he held open. "I want it catalogued separately. Not with the ash." "You think they're connected?" "I think everything down here is connected, and none of it makes sense yet." She stood, joints protesting after eighteen years of crouching over bodies in worse places than this. "Kids on a bender don't carve token coins out of bone, Patel. And raves don't leave scratch marks like claws in the brickwork." "Could've been an animal. Foxes get into these tunnels." "Foxes don't leave five-inch gouges eight feet up a wall." Patel didn't answer that. He glanced toward the mural, then quickly away, the kind of look people gave things they didn't want to examine too closely. Quinn moved to the turnstiles, running a finger along the bent metal. It hadn't rusted through — this was fresh damage, the exposed steel bright beneath a thin sheen of grime, meaning whatever forced it open had done so recently, and with considerable strength. She thought of the frost that wasn't frost, the coin that wasn't a coin, and felt the old, familiar itch crawl up the back of her neck. The same itch she'd felt three years ago, standing over another body in another impossible place, right before Morris disappeared for good and the official report called it an accident nobody could quite explain. "Get SOCO to dust the turnstile," she said. "And I want photographs of every mark on that wall before we lose the light." "Boss, it's probably nothing. Vandalism, an animal, some junkie's fever dream carved into brick—" "Eighteen years, Patel, and I've learned that 'probably nothing' gets people killed." She turned back to the body, crouching one final time to study the frozen half-open eyes. "Look at his hands again. No defensive wounds, no bruising, nothing to suggest a struggle. But he's gripping that coin so tight we had to pry his fingers open. Whatever happened to him, he knew it was coming, and he wanted someone to find that object on him." "Or he just liked coins." "Or he liked coins." Quinn allowed herself a thin, humourless smile as she rose. "Bag the ash separately from the tile fragments. I want a full chemical breakdown, and get onto whoever handles archaeological finds down at the museum — someone who can identify carved bone artefacts, symbols, that sort of thing. There's a woman there, does research work. Kowalski, I think her name was, came up on a case file last year." She paused, staring once more at the scratch marks arcing across the mural, five parallel grooves that no fox, no drunk teenager, no crowbar could have made. "Something wants us to think this is ordinary. I want to know why."
created_at"2026-07-01T07:18:55.489Z" 7/1/2026, 7:18:55 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5356
moderation_latency(null)
generation_time36327
tokens_prompt1149
tokens_completion1635
native_tokens_prompt1595
native_tokens_completion2336
native_tokens_completion_images(null)
native_tokens_reasoning256
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"
service_tier"default"
usage0.02655
router(null)
provider_responses
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endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_017bBnXmDbsGqBsurtEETq3X"
is_byokfalse
latency2549
model_permaslug"anthropic/claude-sonnet-5-20260630"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.17.0; linux; x64))"
http_referer(null)
request_id"req-1782890335-STWnMp9Rn5ZjShCkX2IF"
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api_type"completions"
id"gen-1782890335-NVl1E54BrOG8BaiNHwn5"
upstream_id"msg_017bBnXmDbsGqBsurtEETq3X"
total_cost0.02655
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provider_name"Amazon Bedrock"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount1
adverbTags
0"She turned back [back]"
dialogueSentences30
tagDensity0.4
leniency0.8
rawRatio0.083
effectiveRatio0.067
89.05% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount913
totalAiIsmAdverbs2
found
0
adverb"gently"
count1
1
adverb"quickly"
count1
highlights
0"gently"
1"quickly"
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)
89.05% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount913
totalAiIsms2
found
0
word"etched"
count1
1
word"familiar"
count1
highlights
0"etched"
1"familiar"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"clenched jaw/fists"
count1
highlights
0"clenched fist"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences34
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences34
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences52
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen85
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords918
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
86.59% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions16
wordCount552
uniqueNames5
maxNameDensity1.27
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Patel"
discoveredNames
Quinn7
Tube1
Town1
Patel6
Morris1
persons
0"Quinn"
1"Patel"
2"Morris"
places
0"Town"
globalScore0.866
windowScore1
53.85% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences26
glossingSentenceCount1
matches
0"looked like one, except it was carved fro"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount918
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences52
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean36.72
std31.57
cv0.86
sampleLengths
057
128
233
33
440
540
67
715
871
93
1051
1185
1219
1328
144
1553
169
1710
1826
19105
2023
2114
2276
235
24113
74.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences34
matches
0"been closed"
1"was carved"
2"been drilled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs100
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences52
ratio0.058
matches
0"The tiled mural on the far wall, faded blue and cream, showed a scratch mark gouged so deep it exposed the brick beneath — five parallel lines, evenly spaced, curving in an arc no human hand could make."
1"A small object dropped free — a coin, or what looked like one, except it was carved from bone rather than struck from metal, etched with symbols she didn't recognise."
2"It hadn't rusted through — this was fresh damage, the exposed steel bright beneath a thin sheen of grime, meaning whatever forced it open had done so recently, and with considerable strength."
89.23% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount550
adjectiveStacks1
stackExamples
0"frozen half-open eyes."
adverbCount25
adverbRatio0.045454545454545456
lyAdverbCount5
lyAdverbRatio0.00909090909090909
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences52
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences52
mean17.65
std14.42
cv0.817
sampleLengths
032
125
216
312
48
525
63
734
86
98
1013
1112
124
133
145
152
164
1711
189
1924
2038
213
2223
2328
2419
2518
2630
2718
286
2913
3019
319
324
3330
3423
359
3610
374
3822
3912
4032
4127
4234
438
4415
4514
4628
4748
485
4914
94.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.6923076923076923
totalSentences52
uniqueOpeners36
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences31
matches(empty)
ratio0
78.06% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences31
matches
0"His skin had a strange"
1"It didn't melt, didn't even"
2"She reached out and touched"
3"She straightened, sweeping her torch"
4"She pulled a glove from"
5"She stood, joints protesting after"
6"He glanced toward the mural,"
7"It hadn't rusted through —"
8"She thought of the frost"
9"She turned back to the"
10"She paused, staring once more"
ratio0.355
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount30
totalSentences31
matches
0"Detective Quinn ducked under the"
1"Camden Town station had been"
2"DS Patel said, crouching by"
3"Quinn crouched opposite him, studying"
4"His skin had a strange"
5"Patel gestured at the tiled"
6"Quinn ran her torch along"
7"It didn't melt, didn't even"
8"She reached out and touched"
9"Powder, not water."
10"She straightened, sweeping her torch"
11"The old turnstiles stood rusted"
12"The tiled mural on the"
13"Patel flipped his notebook shut"
14"Quinn crouched again, closer to"
15"She pulled a glove from"
16"A small object dropped free"
17"A single hole had been"
18"Patel said, leaning in"
19"Quinn turned the object over"
ratio0.968
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences31
matches(empty)
ratio0
98.21% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences16
technicalSentenceCount1
matches
0"The old turnstiles stood rusted in their tracks, one of them bent outward as though something had forced its way through rather than around."
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
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences30
tagDensity0.133
leniency0.267
rawRatio0
effectiveRatio0
81.0858%