Run: 2026-07-25-01KYCPKSS7EA3TFNEZMTBTEE2T

Run Details

Duration:
56.6s
Cost:
$0.082350
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 service tunnel smelled of wet chalk and something older, something that made the back of Quinn's throat itch. She ducked under the strip of tape a uniform had strung between two rusted pipes and stepped down onto the platform of a station that hadn't seen a train since 1957. Camden. Beneath Camden, more precisely, forty feet under a kebab shop and a shuttered guitar dealer. The Metropolitan Police did not usually get called to places that weren't on any map. "Mind the gap," said DC Alistair Fenn, and grinned at his own joke from beside a portable floodlight. Twenty-nine, gelled hair, a suit he couldn't afford. "Seriously, mind it. There's a drop where the rails were. Bloke from Transport for London nearly went in." Quinn didn't answer. She was looking at the tiles. Someone had scrubbed this platform. Not recently — the grime had crept back in a fine grey film — but the old cream tiles along the eastern wall showed the ghost-marks of a hard clean, streaks where a brush had swept in long arcs. Beneath them, faint outlines. Rectangles. Dozens of them, in rows, at regular intervals along the platform edge. "Body's this way," Fenn said. "Male, forties, no ID, no phone. Doc reckons twelve to fourteen hours. Bit of a mess." She followed his light. The dead man lay on his back near the mouth of the southbound tunnel, arms at his sides, palms up. His coat was good wool, expensive once, worn through at the elbows. Both shoes were on. Both laces tied. Quinn crouched. Her knees complained. Eighteen years and they still complained. "OD," Fenn said. "That's my read. Look at the arms." She pushed the sleeve back with a gloved finger. Puncture marks, old ones, a constellation of them up the inside of the left forearm. Fresh one at the crook. "Rough sleepers use these tunnels," Fenn went on. "There's a whole community down here, apparently, further along past the crossover. He scores, he wanders in, he sits down, he doesn't get up. It's sad, it's not complicated. We'll have a name off prints by teatime." "Where's the needle?" Fenn's mouth opened, then closed. "Could be anywhere. Could've rolled." "Rolled." Quinn stood and swept her torch across the concrete. Level here, no camber. A dropped syringe would have stayed within a metre of the hand that dropped it. "Rolled forty feet up a dead-flat platform." "Someone nicked it. There are people down here, ma'am, I said—" "They took the needle and left the coat." She let that sit. "In February." Fenn shifted his weight. "People are strange." "People are consistent." She moved to the man's feet and looked back along the length of him, sighting down the body the way you'd sight down a rifle. "Look at how he's lying." "He's lying on his back." "He's lying straight. Head to the tunnel mouth, feet to the platform. Parallel to the wall — within a degree or two of it, I'd say." She traced the air above him with her torch beam. "Collapse doesn't do that. Collapse folds. The legs go first, the body slumps sideways, the head hits whatever's nearest. I've seen sixty overdoses and every single one of them looked like laundry dropped off a balcony. This man looks like he's been laid out for a fitting." "So he lay down himself. Felt it coming, got comfortable." "Then his knees would be bent." Quinn knelt again, this time by the hands. "And his palms would be down. Nobody lies down on cold concrete with their palms up. Try it tonight. You'll turn them under before your head touches the floor." Fenn was quiet a moment. "You're saying he was moved." "I'm saying he was arranged." She lifted the right hand at the wrist, turning it toward the light. Rigor had come and gone in the fingers. The nails were clean — surgically clean, the cuticles pushed back, no crescent of dirt anywhere. She let the hand down and lifted the coat cuff. Underneath, a shirt of thin cotton, and beneath the shirt, at the pulse point, a mark. A ring of pale, raised skin. Not a bruise. Not a burn. The flesh had gone the colour of candle wax in a band eight millimetres wide, perfectly circular, unbroken. "That's a watch," Fenn said. "Tan line. Or a cable tie." "Cable ties bite. They leave a track, they abrade the skin, they aren't perfect circles because wrists aren't perfect circles." She measured the band against her own thumbnail. "And this is raised, not sunken. Whatever made this pushed out, not in." She checked the other wrist. The same. Then the ankles, easing the trouser cuffs up with two fingers. The same. Four rings, all identical, all bloodless. Fenn had stopped smiling. "Okay," he said. "So he was restrained. Somewhere else. Then dumped here." "Carried here." Quinn stood and pointed her torch at the dust between the body and the tunnel mouth. Then at the dust between the body and the platform's edge. Then, slowly, at the fifteen metres of platform between the body and the service stairs she'd come down. "Show me the footprints." Fenn looked. The floodlight cast the dust into low relief, every scuff a canyon. There were the boot-marks of the first response, three sets, coming in a clean line from the stairs and stopping four metres short of the body where somebody had sensibly called it. There were her own, a single track. Behind the body: nothing. Between the body and the tunnel: nothing. "He didn't walk in," Fenn said slowly. "And nobody carried him in. Not from either direction." "Nobody carried him in from either direction along the platform." Quinn crossed to the edge and shone the light down into the trackbed. The rails were long gone, sold for scrap; the sleepers had rotted into ridges of black pulp. The dust down there lay smooth as a snowfield. She stayed there a long moment, on her heels at the lip of the drop, and the itch at the back of her throat got worse. Three years ago, in a lock-up in Bermondsey, she had knelt at the edge of a chalk circle and looked at the place where DS Morris had been standing eleven seconds earlier. There had been no footprints leaving that circle either. She had written *unexplained* in her report because there was no box on the form for what she'd actually seen, and a man from the Home Office had come to Belgravia nick and taken her file away in a soft leather case and thanked her for her service. She had never stopped smelling wet chalk. "Ma'am?" "The wall." She stood and walked to the tiles, the scrubbed ones, and put her palm flat against the cold. "Fenn. Come here. Torch off." "What?" "Off." He killed his beam. She reached over and snapped the floodlight down, and the platform dropped into a dark so total it had weight. For three seconds there was nothing. Then, as her pupils opened, the ghost-rectangles on the wall came up out of the black — faint, cold, greenish, the residue of something that had hung there and soaked into the glaze. Rows of them. Stall-shapes. Two hundred of them, receding along the platform, and above them, where a station name should have been, a smear of the same light in a script Quinn couldn't read. She heard Fenn's breath catch. "That's phosphorescence," he said. "Bacteria. Mould, in the damp, it does that, I've seen it on—" "Mould doesn't grow in straight lines two metres apart." "Ma'am—" "It's a floor plan." Quinn's voice came out level and it surprised her. "Somebody ran a market down here. Trestles, awnings, pitches laid out to a grid. That's what those marks are — the shape of things that stood here for a night and then went somewhere else." She turned. In the dark, the dead man was a long grey suggestion. "And they took the market with them and left him behind. Or he was what they left behind, and the market is how they got him in without walking." The silence went on. Somewhere down the tunnel, water dripped into water. Then Fenn switched his torch back on, and the green went out like it had never been, and he laughed the way men laugh when they've decided not to think about something. "Right," he said. "OD. Rough sleeper nicked the works. That's what I'm putting in the book." Quinn walked back to the body and looked down at the four pale rings, at the manicured hands of a man in a threadbare coat, at the palms turned up like he'd been offering something. "Put whatever you like in the book," she said. "I want the wall photographed. Long exposure. Lights out." "Photographed." "And find me whoever owns the shop above the stairwell. I want to know what they heard on the night of the full moon."
created_at"2026-07-25T13:14:42.519Z" 7/25/2026, 1:14:42 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1609
moderation_latency(null)
generation_time56240
tokens_prompt1112
tokens_completion2153
native_tokens_prompt1595
native_tokens_completion2975
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.08235
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNqUmZkJUrqSn3xdPz4B"
is_byokfalse
latency1609
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-1784985282-kRAyAnQfXaG1CqWEEQFo"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784985282-MtwYHVpyFCc0Evyvi2Ot"
upstream_id"msg_011CdNqUmZkJUrqSn3xdPz4B"
total_cost0.08235
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
totalTags22
adverbTagCount2
adverbTags
0"Quinn knelt again [again]"
1"Fenn said slowly [slowly]"
dialogueSentences55
tagDensity0.4
leniency0.8
rawRatio0.091
effectiveRatio0.073
86.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1491
totalAiIsmAdverbs4
found
0
adverb"precisely"
count1
1
adverb"perfectly"
count1
2
adverb"slowly"
count2
highlights
0"precisely"
1"perfectly"
2"slowly"
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)
66.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1491
totalAiIsms10
found
0
word"weight"
count2
1
word"traced"
count1
2
word"comfortable"
count1
3
word"pulse"
count1
4
word"perfect"
count2
5
word"measured"
count1
6
word"restrained"
count1
7
word"silence"
count1
highlights
0"weight"
1"traced"
2"comfortable"
3"pulse"
4"perfect"
5"measured"
6"restrained"
7"silence"
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
narrationSentences93
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences93
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences126
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1497
ratio0.001
matches
0"unexplained"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions20
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount988
uniqueNames14
maxNameDensity1.32
worstName"Fenn"
maxWindowNameDensity3
worstWindowName"Fenn"
discoveredNames
Quinn10
Camden2
Metropolitan1
Police1
Alistair1
Fenn13
Twenty-nine1
Level1
Rigor1
Bermondsey1
Morris1
Home1
Office1
Belgravia1
persons
0"Quinn"
1"Police"
2"Alistair"
3"Fenn"
4"Twenty-nine"
5"Rigor"
6"Morris"
7"Office"
8"Belgravia"
places
0"Bermondsey"
1"Home"
globalScore0.842
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences54
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1497
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences126
matches
0"let that sit"
1"leaving that circle"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs55
mean27.22
std23.42
cv0.86
sampleLengths
050
131
244
39
461
521
643
711
810
929
1045
113
1210
1336
1411
1514
167
1733
185
1983
2010
2143
2210
2368
2430
2511
2641
2718
288
2916
3051
3164
3216
3349
3426
3589
367
371
3825
391
401
4124
4273
435
4416
459
461
4790
4812
4932
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences93
matches
0"get called"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs148
matches
0"was looking"
52.15% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount1
flaggedSentences4
totalSentences126
ratio0.032
matches
0"Not recently — the grime had crept back in a fine grey film — but the old cream tiles along the eastern wall showed the ghost-marks of a hard clean, streaks where a brush had swept in long arcs."
1"The nails were clean — surgically clean, the cuticles pushed back, no crescent of dirt anywhere."
2"The rails were long gone, sold for scrap; the sleepers had rotted into ridges of black pulp."
3"Then, as her pupils opened, the ghost-rectangles on the wall came up out of the black — faint, cold, greenish, the residue of something that had hung there and soaked into the glaze."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount990
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.02727272727272727
lyAdverbCount9
lyAdverbRatio0.00909090909090909
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences126
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences126
mean11.88
std10.64
cv0.896
sampleLengths
019
131
21
315
415
518
68
718
83
96
105
1139
124
131
1412
155
1616
174
1820
1912
204
213
222
233
246
253
267
279
2815
295
308
3137
323
335
345
3510
364
3715
387
3911
4012
412
424
433
4428
455
465
4736
4847
4910
83.60% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.5396825396825397
totalSentences126
uniqueOpeners68
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences78
matches
0"Then the ankles, easing the"
1"Then at the dust between"
2"Then, slowly, at the fifteen"
3"Then, as her pupils opened,"
4"Somewhere down the tunnel, water"
5"Then Fenn switched his torch"
ratio0.077
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences78
matches
0"She ducked under the strip"
1"She was looking at the"
2"She followed his light."
3"His coat was good wool,"
4"Her knees complained."
5"She pushed the sleeve back"
6"She let that sit"
7"She moved to the man's"
8"She traced the air above"
9"She lifted the right hand"
10"She let the hand down"
11"She measured the band against"
12"She checked the other wrist."
13"She stayed there a long"
14"She had written *unexplained* in"
15"She had never stopped smelling"
16"She stood and walked to"
17"He killed his beam."
18"She reached over and snapped"
19"She heard Fenn's breath catch."
ratio0.256
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences78
matches
0"The service tunnel smelled of"
1"She ducked under the strip"
2"The Metropolitan Police did not"
3"Quinn didn't answer."
4"She was looking at the"
5"Someone had scrubbed this platform."
6"Dozens of them, in rows,"
7"She followed his light."
8"The dead man lay on"
9"His coat was good wool,"
10"Both shoes were on."
11"Both laces tied."
12"Her knees complained."
13"She pushed the sleeve back"
14"Puncture marks, old ones, a"
15"Fenn went on"
16"Fenn's mouth opened, then closed."
17"Quinn stood and swept her"
18"A dropped syringe would have"
19"She let that sit"
ratio0.667
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences78
matches(empty)
ratio0
93.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences29
technicalSentenceCount2
matches
0"The service tunnel smelled of wet chalk and something older, something that made the back of Quinn's throat itch."
1"Then, as her pupils opened, the ghost-rectangles on the wall came up out of the black — faint, cold, greenish, the residue of something that had hung there and …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags22
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount0
fancyTags(empty)
dialogueSentences55
tagDensity0.164
leniency0.327
rawRatio0
effectiveRatio0
91.6355%