Run: 2026-07-01-01KWE97GFMRGW46Z96F7H42SRN

Run Details

Duration:
40.8s
Cost:
$0.029850
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 tape flapped in the wind funnelling up from the stairwell, and Quinn ducked under it without breaking stride. Nineteen steps down, the temperature dropped by degrees she could count on the back of her neck. Somebody had strung work lights along the platform edge, and their glare turned the old tile a jaundiced yellow, but nothing could touch the black beyond them. Camden Town station had been closed for eleven years. Nobody down here to complain about the cold except the dead. "Detective Quinn." Sergeant Osei straightened up from where he crouched beside the body, notebook already out. "Wasn't expecting you on a Sunday." "Wasn't expecting a body on a disused platform." She crossed to him, boots crunching over grit that hadn't seen a broom since Blair was in office. "Talk me through it." The victim lay on his back, arms flung wide, mouth open like he'd died mid-shout. Male, forties, decent coat, no obvious wounds that she could see from three feet off. Osei flipped a page. "Male, mid-forties, no ID on him yet. Transport Police found him at six this morning doing a routine sweep. No forced entry through the maintenance hatch, no sign of a struggle. My money's on cardiac. Heart gives out, he stumbles down here looking for somewhere quiet, and that's that." "Somewhere quiet." Quinn crouched, keeping her coat off the ground. "Man has a heart attack, decides the best place to have it is an abandoned Tube station eleven years shut, accessed through a hatch that requires a crowbar or a key. Sure. Makes sense." "People do strange things when they're dying, guv." "People don't usually relock a maintenance hatch behind them while they're doing it." She nodded toward the door at the platform's far end, where a uniform stood guard. "That hatch was bolted from the inside when Transport Police found him. You clock that in your report yet?" Osei's pen paused over the page. "Didn't get that far." "Get there." She turned back to the body, and that was when she saw it — a ring of frost, thin as lace, spreading out from his splayed left hand across the platform tile. In a station with no working climate control, sealed up for over a decade, in the middle of June. "Osei. Feel the tile there. Next to his hand." He hesitated, then pressed two fingers to the stone a foot from the corpse's fingers. His face didn't change much, but his shoulders did, drawing up toward his ears the way people's did around things they didn't want to name. "Cold," he said. "Colder than the rest of the platform, I suppose." "Colder than a body's ever going to make tile, dead or alive." Quinn pulled a pen from her pocket and used it to nudge back the man's coat sleeve, careful not to disturb what she didn't yet understand. Underneath, along the inside of his wrist, a mark had been burned or frozen or carved — she genuinely couldn't say which — into the skin. Concentric circles, a scatter of angular symbols round the rim, precise as engraving. "Now. You want to tell me a dodgy ticker did that too?" "Could be a tattoo. Something he had already." "Could be." She didn't believe it and doubted he did either. "Get a photographer down here before SOCO turns this into a circus. And I want that hatch dusted properly — not the half-arsed job from that warehouse job in March." Osei bristled slightly at that, but let it go, radioing up for the photographer. Quinn stood, joints protesting the damp, and paced the platform's length, eyes tracking the tile. The frost thinned the farther she got from the body, fanning out in a rough circle maybe six feet across before it vanished into ordinary grime. At its widest edge, scratched into the dirt like someone had dragged a boot heel through it deliberately, she found a second mark — smaller, cruder, but the same family of shape as the one on the dead man's wrist. A rushed copy. Or a warning. "Guv." Osei had drifted closer, radio back on his belt. "Even if that mark's not a tattoo — even if someone did that to him after — it's still a body, still a crime scene. I don't see what it changes." "It changes everything, Sergeant." She crouched by the scratched symbol, close enough that her breath fogged, though the rest of the platform sat at a perfectly ordinary June damp. "Because a man doesn't lock himself into a sealed station to die of natural causes, and he definitely doesn't get branded doing it. Somebody brought him here. Somebody who had access to a hatch that hasn't been opened in over a decade, who wanted this exact spot, and who left in a hurry, because that second mark's rushed — smudged, see, where the first one's clean." "Ritual thing, maybe. Kids messing about, filmed it for the internet, panicked when it went wrong." "Kids don't bolt a hatch from the inside and vanish through solid tile." She stood, joints popping, and looked down the black tunnel mouth at the platform's end, where the work lights gave out and the old rails ran on into nothing anybody had mapped in years. Something about that dark made the hair on her arms rise, the same prickle she'd felt three years back in a warehouse in Deptford, the night she'd lost Morris and gained nothing in the way of answers. "There's no way in or out of this platform that isn't accounted for. And yet whoever did this got in, did their business, and got out clean." "So what — a ghost did it?" She didn't answer that. She crouched instead at the tunnel's mouth, where the frost pattern thinned to nothing against a wall that, on closer look, bore the faint ghost of another symbol scrubbed away in a hurry, leaving only a pale smear against decades of soot. "Get me everything Transport Police have on who's had access down here in the past six months," she said. "Contractors, surveyors, anyone with a reason to hold a key to that hatch. Somebody let whoever did this in. I want to know who."
created_at"2026-07-01T07:27:53.346Z" 7/1/2026, 7:27:53 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4417
moderation_latency(null)
generation_time40712
tokens_prompt1149
tokens_completion1620
native_tokens_prompt1595
native_tokens_completion2666
native_tokens_completion_images(null)
native_tokens_reasoning116
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"
usage0.02985
router(null)
provider_responses
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endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_01ESdv9PRW5zqR4B9CB5Dcn4"
is_byokfalse
latency1930
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-1782890873-HmSHjTEtYgGuRzyy79Td"
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api_type"completions"
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upstream_id"msg_01ESdv9PRW5zqR4B9CB5Dcn4"
total_cost0.02985
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upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)
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
85.44% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1030
totalAiIsmAdverbs3
found
0
adverb"slightly"
count1
1
adverb"deliberately"
count1
2
adverb"perfectly"
count1
highlights
0"slightly"
1"deliberately"
2"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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1030
totalAiIsms0
found(empty)
highlights(empty)
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
narrationSentences35
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences35
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences53
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen65
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1039
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
totalMentions16
wordCount599
uniqueNames8
maxNameDensity0.83
worstName"Osei"
maxWindowNameDensity1.5
worstWindowName"Osei"
discoveredNames
Quinn4
Town1
Osei5
Blair1
June2
Underneath1
Deptford1
Morris1
persons
0"Quinn"
1"Osei"
2"Blair"
3"Morris"
places
0"Town"
1"Deptford"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences29
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1039
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences53
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean45.17
std30.9
cv0.684
sampleLengths
083
122
230
334
449
544
68
747
810
962
1040
1112
1289
138
1441
15101
1641
1795
1816
19111
207
2146
2243
85.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences35
matches
0"been closed"
1"been burned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs101
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences53
ratio0.057
matches
0"\"Get there.\" She turned back to the body, and that was when she saw it — a ring of frost, thin as lace, spreading out from his splayed left hand across the platform tile."
1"Underneath, along the inside of his wrist, a mark had been burned or frozen or carved — she genuinely couldn't say which — into the skin."
2"At its widest edge, scratched into the dirt like someone had dragged a boot heel through it deliberately, she found a second mark — smaller, cruder, but the same family of shape as the one on the dead man's wrist."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount596
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.02181208053691275
lyAdverbCount6
lyAdverbRatio0.010067114093959731
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences53
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences53
mean19.6
std13.69
cv0.699
sampleLengths
019
117
227
39
411
516
66
726
84
915
1015
114
1249
1310
1434
158
1628
1719
186
194
2034
2119
229
2315
2425
253
269
2738
2826
2913
3012
318
3211
3330
3414
3515
3626
3740
383
393
4010
4131
4229
4366
4416
4547
4637
4727
487
494
90.57% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.7547169811320755
totalSentences53
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences33
matches(empty)
ratio0
98.79% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences33
matches
0"She crossed to him, boots"
1"She nodded toward the door"
2"She turned back to the"
3"He hesitated, then pressed two"
4"His face didn't change much,"
5"She didn't believe it and"
6"She crouched by the scratched"
7"She stood, joints popping, and"
8"She didn't answer that."
9"She crouched instead at the"
ratio0.303
66.06% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount26
totalSentences33
matches
0"The tape flapped in the"
1"Somebody had strung work lights"
2"Camden Town station had been"
3"Nobody down here to complain"
4"Sergeant Osei straightened up from"
5"She crossed to him, boots"
6"The victim lay on his"
7"Osei flipped a page."
8"Quinn crouched, keeping her coat"
9"She nodded toward the door"
10"Osei's pen paused over the"
11"She turned back to the"
12"He hesitated, then pressed two"
13"His face didn't change much,"
14"Quinn pulled a pen from"
15"She didn't believe it and"
16"Osei bristled slightly at that,"
17"Quinn stood, joints protesting the"
18"The frost thinned the farther"
19"A rushed copy."
ratio0.788
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences33
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount0
matches(empty)
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
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences30
tagDensity0.067
leniency0.133
rawRatio0
effectiveRatio0
87.5355%