Run: 2026-07-25-01KYCQSXGJ95KH8HWEYQT0V3M0

Run Details

Duration:
1m 2s
Cost:
$0.089675
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 stairs down to Ashgate platform hadn't seen a broom since Harold Wilson's first government, and Quinn counted every step because counting kept her hands off the rail. Sixty-three. At the bottom, arc lamps had been rigged on tripods, and the light did what light always did in these places — showed too much of the tile and nothing of the corners. "Mind the gap," said DS Aleksy Bright, from somewhere in the glare. "Bit of a joke. There's actual gap." "I see it." The platform ran forty metres and ended in a bricked-up mouth where the tunnel had been sealed. Cream tiles, brown stripe, half the wall furred with a century of iron dust. Someone had painted over the old advertisements at some point, and the paint had blistered into shapes that suggested faces if you were tired enough, and Quinn was. The body lay two metres from the platform edge, on its back, arms at its sides. "Male, mid-fifties," Bright said, reading off his phone. "No wallet, no phone, no keys. Wearing about two grand of coat. Pathologist's stuck in Holloway till nine but the FME's initial thought was cardiac event. There's no wound. No ligature. Nothing under the nails." "Who found him?" "Urban explorers. Two kids with head torches and a YouTube channel. They're upstairs crying into a blanket." Quinn crouched. Her knees complained; eighteen years of crouching did that. The dead man's face had the waxy stillness she'd stopped finding remarkable somewhere around year six. Grey stubble, good teeth, a nick under the jaw where he'd shaved in a hurry. His coat was navy cashmere and the lapels were dusted with something pale. "Cardiac event," she repeated. "Blocked artery, sixty-year-old bloke, climbs down into a hole in the ground for a thrill, heart says no thanks." Bright shrugged. "It happens. Every couple of years someone dies in the tunnels and it's never a mystery, it's just sad." "How did he get in?" "Same way as the kids. Grille off the ventilation shaft on Bayham Street. It's been cut open for years." "Show me his shoes." Bright came around and angled his torch, and the two of them looked at a pair of black Oxfords, hand-stitched, the leather buffed to a low shine. The soles were clean. Not spotless — a smear of something dark on the left heel — but clean the way shoes were clean after a taxi and a lobby and a carpeted corridor. "Right," Bright said. "The ventilation shaft has a nine-foot drop onto ballast, then a hundred metres of tunnel with standing water in it. My boots are ruined and I came in through the surface access with a torch and a map." Quinn stood. "He didn't walk here." "So he was carried." "By whom? Two of them, minimum, for a man that size. Down sixty-three stairs coated in dust nobody's disturbed except us." She pointed with her chin toward the staircase. "SOCO's got the stair prints. Yours, mine, the kids', three uniforms. Count them later and tell me if any of them are deep enough for a man carrying eighty-five kilos." Bright rubbed his eye with the heel of his hand. "Then he came in some other way and we haven't found it." "Yes." She liked him for saying it. Most of them would have argued. She walked the platform. Slowly, one careful pace at a time, the way Morris had taught her before Morris went into a locked room in Bermondsey and came out as a file she still wasn't allowed to read. Her torch went low, raking across the floor, because dust told stories and the story here was a peculiar one. Around the body, the dust was scuffed to nothing. Not smeared — swept. Long arcs, overlapping, the pattern a broom made. Beyond the swept zone, the platform floor was a churn of prints. Hundreds of them. She squatted at the edge of the churn and read what she could. Trainers. Bare feet — small, a child's, or something with a child's foot. A ring of impressions in a circle two metres across, each one a shallow crescent, spaced as though something had stood on many legs. A drag mark the width of a table. Four square depressions at the corners of a rectangle, pressed hard enough to bite through dust into grime, and around them a fine spill of grain that wasn't dust at all. She pinched some up. Rubbed it between finger and thumb. Salt. "Aleksy. How long since anyone was down here, officially?" "Station closed in '65. Track lifted in '71. TfL sends someone through the deep tunnel every eighteen months for structural." He checked. "Last inspection, February. Report says nil of note." "Then this platform hosted about two hundred people in the last five days, and nobody wrote it down." Bright came and stood over the prints and his face went through the sequence she'd been waiting for: dismissal, doubt, unease. "Rave," he said. "There's a scene for it. Illegal parties in the disused stations, they bring generators—" "Where's the litter?" He looked. There wasn't any. No cans, no bottles, no cigarette ends, no plastic, no wrappers, no spray paint, no shoe-prints on the walls. Two hundred people and not one of them had dropped anything, and Quinn had worked enough after-parties to know that people were mostly rubbish that walked. "They cleaned up," Bright said, without conviction. "They packed up. That's different." She traced the four square depressions with her torch beam. "Trestle. Something heavy on it. And here—" the drag mark, "—they pulled it that way, toward the bricked-up end. And here." She moved twelve feet along and found the second set, and the third, and a scatter of dark crumbs she didn't touch. "Stalls. In a row, facing the platform edge, with a walkway between. It's a market." "In a sealed Tube station." "Every full moon somewhere else, if the whispers are worth anything." She said it to the tiles rather than to him, and he didn't ask, and she was grateful. She went back to the body and knelt on the swept ground and looked at the dead man properly. The pale dust on his lapels wasn't dust. Salt again, coarser. His left hand lay open, palm up, and the skin of the palm was marked with a burn — not a blister, not char, but a bloodless white impression, the shape of a keyhole, or an eye. "Bright. Look at his hand and tell me that's a cardiac event." Bright looked for a long time. "That's a brand." "That's a brand he closed his fist around while it was cold enough to kill the tissue." She lifted the coat's right side with a gloved finger. The pocket lining had been sliced clean with something very sharp, and the pocket was empty. "Someone took what he was holding. Not his wallet — they left the watch, and the watch is a Patek." She let the coat fall. "They cut out his pocket, swept the ground around him, and left him lying flat with his arms arranged. Nobody arranges a heart attack." "Then why leave him at all? Why not carry him out the way they came in?" "Because they wanted him found." Quinn stood, and her torch went up for the first time, off the floor, onto the tiled wall behind the body. The blistered paint. The faces that weren't faces. She stepped closer, and the beam flattened the shadows out of the blisters, and what remained wasn't paint damage. It was a line of marks scored into the tile glaze at chest height, running the length of the wall — thin, deliberate, cut with a point harder than steel. Not graffiti. Not letters she knew. And beneath the marks, in a chalk that hadn't smudged in air this damp, a single arrow, and beside the arrow a small drawing that stopped her breath: a circle, a needle, a ring of sigils around the rim. She had seen that circle before. In a photograph. In a file about Bermondsey she wasn't allowed to read, in a box on a shelf in her flat, in the inventory of items recovered from DS Morris's coat pocket three years ago and never explained. "Guv?" Bright said. "What is it?" Quinn didn't answer. She was counting the marks on the tile, left to right, the way you counted stops on a line.
created_at"2026-07-25T13:35:31.353Z" 7/25/2026, 1:35:31 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4271
moderation_latency(null)
generation_time62138
tokens_prompt1112
tokens_completion2121
native_tokens_prompt1595
native_tokens_completion3268
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"
usage0.089675
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNs4ppmK5jvLHnnfFYT5"
is_byokfalse
latency1442
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784986531-GozzxfWgXOOkaW6teOpg"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784986531-zcm7Vbv1pqAdRmvCuSfJ"
upstream_id"msg_011CdNs4ppmK5jvLHnnfFYT5"
total_cost0.089675
cache_discount(null)
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
totalTags17
adverbTagCount0
adverbTags(empty)
dialogueSentences43
tagDensity0.395
leniency0.791
rawRatio0
effectiveRatio0
92.86% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1401
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"very"
count1
highlights
0"slowly"
1"very"
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)
85.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1401
totalAiIsms4
found
0
word"remarkable"
count1
1
word"churn"
count2
2
word"traced"
count1
highlights
0"remarkable"
1"churn"
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
emotionTells1
narrationSentences75
matches
0"was grateful"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences75
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences100
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1408
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount916
uniqueNames9
maxNameDensity1.09
worstName"Bright"
maxWindowNameDensity2.5
worstWindowName"Bright"
discoveredNames
Ashgate1
Harold1
Wilson1
Quinn7
Aleksy1
Bright10
Oxfords1
Morris3
Bermondsey2
persons
0"Harold"
1"Wilson"
2"Quinn"
3"Bright"
4"Morris"
places
0"Ashgate"
1"Bermondsey"
globalScore0.954
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount0
matches(empty)
57.95% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.42
wordCount1408
matches
0"not a blister, not char, but a bloodless white impression, the shape of a keyhole"
1"not char, but a bloodless white impression, the shape of a keyhole"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences100
matches
0"know that people"
1"seen that circle"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs48
mean29.33
std26.02
cv0.887
sampleLengths
062
119
23
359
416
543
63
717
855
94
1040
115
1219
134
1461
153
1644
174
1859
1922
2013
2158
2233
233
2489
2511
269
2730
2818
2921
3017
313
3250
337
3473
355
3629
3767
3812
399
4092
4116
4226
438
4494
4545
466
4722
81.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences75
matches
0"been rigged"
1"been sealed"
2"were dusted"
3"was scuffed"
4"been sliced"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs141
matches
0"was counting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount1
flaggedSentences8
totalSentences100
ratio0.08
matches
0"At the bottom, arc lamps had been rigged on tripods, and the light did what light always did in these places — showed too much of the tile and nothing of the corners."
1"Her knees complained; eighteen years of crouching did that."
2"Not spotless — a smear of something dark on the left heel — but clean the way shoes were clean after a taxi and a lobby and a carpeted corridor."
3"Not smeared — swept."
4"Bare feet — small, a child's, or something with a child's foot."
5"\"Trestle. Something heavy on it. And here—\" the drag mark, \"—they pulled it that way, toward the bricked-up end. And here.\" She moved twelve feet along and found the second set, and the third, and a scatter of dark crumbs she didn't touch."
6"His left hand lay open, palm up, and the skin of the palm was marked with a burn — not a blister, not char, but a bloodless white impression, the shape of a keyhole, or an eye."
7"It was a line of marks scored into the tile glaze at chest height, running the length of the wall — thin, deliberate, cut with a point harder than steel."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount712
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.016853932584269662
lyAdverbCount2
lyAdverbRatio0.0028089887640449437
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences100
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences100
mean14.08
std10.99
cv0.78
sampleLengths
028
11
233
312
47
53
617
714
828
916
108
1135
123
1317
142
159
1616
1715
1813
194
2021
2119
225
2319
244
2527
264
2730
283
2940
304
314
3229
3330
3410
3512
367
376
384
3934
4020
419
424
438
4412
453
4613
471
4812
4924
93.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.61
totalSentences100
uniqueOpeners61
53.76% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences62
matches
0"Slowly, one careful pace at"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences62
matches
0"Her knees complained; eighteen years"
1"His coat was navy cashmere"
2"She pointed with her chin"
3"She liked him for saying"
4"She walked the platform."
5"Her torch went low, raking"
6"She squatted at the edge"
7"She pinched some up."
8"She traced the four square"
9"She said it to the"
10"She went back to the"
11"His left hand lay open,"
12"She lifted the coat's right"
13"She let the coat fall"
14"She stepped closer, and the"
15"It was a line of"
16"She had seen that circle"
17"She was counting the marks"
ratio0.29
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount36
totalSentences62
matches
0"The stairs down to Ashgate"
1"The platform ran forty metres"
2"Cream tiles, brown stripe, half"
3"Someone had painted over the"
4"The body lay two metres"
5"Her knees complained; eighteen years"
6"The dead man's face had"
7"His coat was navy cashmere"
8"The soles were clean."
9"She pointed with her chin"
10"She liked him for saying"
11"She walked the platform."
12"Her torch went low, raking"
13"Hundreds of them."
14"She squatted at the edge"
15"A ring of impressions in"
16"A drag mark the width"
17"She pinched some up."
18"She traced the four square"
19"the drag mark, \"—they pulled"
ratio0.581
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences62
matches(empty)
ratio0
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount3
matches
0"A ring of impressions in a circle two metres across, each one a shallow crescent, spaced as though something had stood on many legs."
1"Four square depressions at the corners of a rectangle, pressed hard enough to bite through dust into grime, and around them a fine spill of grain that wasn't du…"
2"And beneath the marks, in a chalk that hadn't smudged in air this damp, a single arrow, and beside the arrow a small drawing that stopped her breath: a circle, …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount1
fancyTags
0"she repeated (repeat)"
dialogueSentences43
tagDensity0.186
leniency0.372
rawRatio0.125
effectiveRatio0.047
87.3313%