Run: 2026-07-01-01KWE8TCQ0W43QA42M70DY6D15

Run Details

Duration:
45.2s
Cost:
$0.031850
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 call came in at 4:47 a.m., which was the sort of hour Quinn had learned to distrust. Nothing good happened at 4:47 a.m. Nothing honest, anyway. She ducked under the police tape strung across the mouth of the disused Tube entrance, the old Camden Town North platform that had been sealed since the eighties, according to the property records nobody had bothered updating since. The stairwell smelled of damp brick and something sweeter underneath, something that made the back of her throat itch. "Detective Quinn." DC Reyes met her halfway down, torch beam bouncing off tiled walls gone black with soot and neglect. "Wasn't sure you'd want to come out for this one personally." "Body in a sealed station tends to get my attention." "Not sealed, exactly. Someone's been down here." Reyes gestured at a chain-link gate, its padlock cut clean through, the metal edges bright and unrusted. "Recent. Within the week, forensics reckon." The platform opened up below, lit now by portable floodlights that threw everything into a flat, clinical white. The victim lay near the platform edge, a man in his fifties, business suit, no visible wounds that Quinn could see from the stairs. "Talk me through it," she said, descending the last few steps. "Male, mid-fifties, no ID on him yet. No blood, no bruising, no obvious cause of death. Pathologist's guessing cardiac arrest, but she won't commit until the post-mortem." Reyes flipped his notebook open, though Quinn suspected he had the details memorised. "My money's on a heart attack brought on by fright. Bloke wanders down here looking for God knows what, disused station, dark, damp — gives himself a scare, keels over." "What was he looking for?" "That's the interesting bit." Reyes crouched by the body, careful not to touch. "Pockets are empty. No wallet, no phone, no keys. Someone's been through him." Quinn knelt on the opposite side, close enough to see the frost. It shouldn't have been there. The station sat below ground in high summer, the air thick and stagnant, and yet a thin rime of white crusted the dead man's collar, his cuffs, the exposed skin of his throat. She touched it with one gloved finger. Cold, but not melting, not even under the floodlight's heat. "Reyes. Has anyone bagged this?" "Frost? No, why would—" "Get someone to bag it before it's gone." She straightened, scanning the platform. Brick dust had been disturbed in a wide arc around the body, sixty degrees or so, like something had swept through and pushed the grime aside without touching the ground itself. No drag marks. No footprints inside the arc, though the platform outside it showed at least three distinct shoe patterns, badly smudged. "Could be from the draught," Reyes said. "These old tunnels get wind through them, ventilation shafts, that sort of thing." "Wind that selectively avoids leaving footprints but disturbs forty years of dust in a perfect curve." Quinn moved along the arc's edge, crouching again near the tiled wall. Scratched into the surface, hidden under a film of soot she brushed away with her thumb, was a symbol — three interlocking circles, each stamped through with a single line, like a compass needle frozen mid-spin. The edges of the scratch marks gleamed faintly green, a patina she recognised but couldn't place, not immediately. Verdigris. Fresh verdigris, on a mark that looked freshly made. "Someone's done that for a laugh," Reyes said, following her gaze. "Kids, probably. Urban explorers get down here more than the transport authority likes to admit." "Kids carrying enough brass to leave a copper residue an inch deep into stone." She held up her hand, fingertips faintly green now themselves. "That's not paint, Reyes. That's corrosion. It takes years to do that to brass. Not minutes." "So it's old. Predates the lock being cut." "Then how is it not covered in the same soot as everything else down here?" Reyes didn't answer that one. Quinn watched him not answer it, watched the little crease appear between his eyebrows, the one that meant he was recalculating, and for a moment she almost enjoyed it. Almost. She turned back toward the body and noticed, for the first time, the man's shoes. Good leather, expensive, barely worn — except at the heels, which were scored with fine parallel scratches, as though he'd been dragged, feet-first, across rough ground. But there were no drag marks on the platform. None at all. "He wasn't killed here," she said. "Body's here." "Body's here. Death happened somewhere else. Somewhere with a floor that could leave those scratches, then he was moved, without dragging him across this platform, without leaving so much as a smear in forty years of dust." She looked up at the curved ceiling, at the ventilation grate rusted shut above the far end of the platform, at the absolute, total absence of any logical way a corpse could arrive at this exact spot without disturbing anything around it. "Tell me how that's possible." "I can't," Reyes admitted. "Maybe he was carried. Sheet under him, someone lifts him, sets him down careful." "Through a padlocked gate that was cut open from the platform side, not the stairwell." She'd already checked; the cut edges of the chain faced outward, toward the tunnel beyond the platform, not toward the stairs where any sane person would enter. "Whoever did this didn't come down those stairs at all." Reyes stood very still for a moment, the torch beam trembling slightly in his hand, the first honest thing he'd done since she arrived. "Then how'd they get in?" Quinn didn't answer. She was looking past him, into the black mouth of the tunnel beyond the platform's edge, where the floodlights didn't reach and the frost on the dead man's collar seemed, if she watched closely enough, to still be spreading.
created_at"2026-07-01T07:20:43.5Z" 7/1/2026, 7:20:43 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4799
moderation_latency(null)
generation_time45175
tokens_prompt1149
tokens_completion1673
native_tokens_prompt1595
native_tokens_completion2866
native_tokens_completion_images(null)
native_tokens_reasoning172
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"
usage0.03185
router(null)
provider_responses
0
endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_01WLoEfUPFm2VdJoww7MCHzg"
is_byokfalse
latency2550
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-1782890443-x2BQeBwB6K9AzGNktjNY"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782890443-mRiwwQb2LSiHzywSj2wd"
upstream_id"msg_01WLoEfUPFm2VdJoww7MCHzg"
total_cost0.03185
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
totalTags14
adverbTagCount1
adverbTags
0"She'd already [already]"
dialogueSentences32
tagDensity0.438
leniency0.875
rawRatio0.071
effectiveRatio0.063
89.69% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount970
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)
89.69% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount970
totalAiIsms2
found
0
word"scanning"
count1
1
word"perfect"
count1
highlights
0"scanning"
1"perfect"
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
narrationSentences43
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences43
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences61
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen79
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords973
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
79.13% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount635
uniqueNames8
maxNameDensity1.42
worstName"Reyes"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Quinn7
Tube1
Camden1
Town1
North1
Reyes9
Brick1
Scratched1
persons
0"Quinn"
1"Reyes"
places
0"Camden"
1"Town"
2"North"
globalScore0.791
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences30
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount973
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences61
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean31.39
std24.37
cv0.776
sampleLengths
027
157
231
310
430
542
611
770
85
926
1012
1155
125
134
1466
1520
1692
1726
1840
198
2015
2135
2253
236
242
2584
2618
2752
2824
295
3042
80.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences43
matches
0"been sealed"
1"been disturbed"
2"were scored"
3"been dragged"
73.02% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs105
matches
0"was recalculating"
1"was looking"
2.34% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences3
totalSentences61
ratio0.049
matches
0"Scratched into the surface, hidden under a film of soot she brushed away with her thumb, was a symbol — three interlocking circles, each stamped through with a single line, like a compass needle frozen mid-spin."
1"Good leather, expensive, barely worn — except at the heels, which were scored with fine parallel scratches, as though he'd been dragged, feet-first, across rough ground."
2"\"Through a padlocked gate that was cut open from the platform side, not the stairwell.\" She'd already checked; the cut edges of the chain faced outward, toward the tunnel beyond the platform, not toward the stairs where any sane person would enter."
99.23% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount636
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.040880503144654086
lyAdverbCount8
lyAdverbRatio0.012578616352201259
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences61
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences61
mean15.95
std13.59
cv0.852
sampleLengths
018
16
23
338
419
520
611
710
824
96
1018
1124
1211
1340
1430
155
1613
1713
1812
195
2033
217
2210
235
244
2513
2631
273
2819
297
3013
3128
3236
3318
341
359
3611
3715
3824
3916
408
4115
425
4329
441
4515
4626
479
483
496
91.80% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.6885245901639344
totalSentences61
uniqueOpeners42
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences38
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences38
matches
0"She ducked under the police"
1"she said, descending the last"
2"It shouldn't have been there."
3"She touched it with one"
4"She straightened, scanning the platform"
5"She held up her hand,"
6"She turned back toward the"
7"She looked up at the"
8"She'd already checked; the cut"
9"She was looking past him,"
ratio0.263
52.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount31
totalSentences38
matches
0"The call came in at"
1"Nothing good happened at 4:47"
2"Nothing honest, anyway."
3"She ducked under the police"
4"The stairwell smelled of damp"
5"DC Reyes met her halfway"
6"Reyes gestured at a chain-link"
7"The platform opened up below,"
8"The victim lay near the"
9"she said, descending the last"
10"Reyes flipped his notebook open,"
11"Reyes crouched by the body,"
12"Quinn knelt on the opposite"
13"It shouldn't have been there."
14"The station sat below ground"
15"She touched it with one"
16"She straightened, scanning the platform"
17"Brick dust had been disturbed"
18"Quinn moved along the arc's"
19"The edges of the scratch"
ratio0.816
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences38
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount4
matches
0"She ducked under the police tape strung across the mouth of the disused Tube entrance, the old Camden Town North platform that had been sealed since the eightie…"
1"The stairwell smelled of damp brick and something sweeter underneath, something that made the back of her throat itch."
2"The platform opened up below, lit now by portable floodlights that threw everything into a flat, clinical white."
3"Good leather, expensive, barely worn — except at the heels, which were scored with fine parallel scratches, as though he'd been dragged, feet-first, across roug…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"Reyes admitted (admit)"
dialogueSentences32
tagDensity0.156
leniency0.313
rawRatio0.2
effectiveRatio0.063
81.9265%