Run: 2026-05-29-01KSSJMRXQ3JQMN8J2K7JKCVSM

Run Details

Duration:
43.5s
Cost:
$0.065775
Provider:
Anthropic

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 into the old Camden station hadn't seen public use since the Blitz, and the air carried it—damp brick, rust, the iron tang of old water. Quinn pressed her torch beam against the tiled wall and read the soot stains the way another woman might read a letter. "Watch your footing, ma'am. Steps are slick." DC Banerjee waited at the bottom, hands shoved into his coat, breath fogging. "Cleaner found him an hour ago. Maintenance contractor, working the Northern line extension survey." "And the body's down here? In a station that's been bricked off since 1942?" "That's the funny part." Quinn descended the last three steps and stopped. The platform opened before her, longer than she'd expected, the curved ceiling lost above the reach of the work-lights someone had strung along the edge. White tarpaulin shrouded a shape near the centre. Around it, two uniforms shuffled, looking at their boots like men in a church. She didn't go to the body first. She never did. The body told you how it ended. Everything else told you why. "Walk me through it." Banerjee flipped his notebook. "Victim's name is Gregor Hale. Fifty-one. Heart failure, far as the duty doctor can tell. No wounds, no ligature marks, no sign of struggle. Looks like the man sat down and his heart simply stopped." "Down here. In the dark. Alone." "That's the read, ma'am. Natural causes. Wrong place, bad luck." He clicked his pen. "Honestly, I think we're looking at a tragic curiosity. Bloke wandered somewhere he shouldn't have, got overwhelmed, ticker gave out." Quinn crouched by the edge of the tarpaulin and lifted it. Hale lay on his back, eyes half-shut, one hand resting on his chest, the other open at his side. His face held no terror, no pain. Peaceful, almost. The kind of peace Banerjee wanted to write down and file away. She studied the open hand. The fingers had curled slightly inward, the way fingers did when they'd held something and let it go. "Where are his tools?" "Sorry?" "You said he was a maintenance contractor running a survey." She rose, knees protesting, and swept the torch in a slow arc. "Where's his kit? His lamp, his clipboard, his measuring gear? A man doesn't survey a tunnel with his bare hands." Banerjee frowned at the empty platform. "Maybe he left it up top." "Maybe." She didn't believe it, and the word came out flat enough that he heard it too. She walked the length of the platform, slow, deliberate, the torch reading the dust. Eighty years of it lay thick as felt, undisturbed in the corners. But here, near the body, the floor told a different story. Footprints. Not one set—several. And not the heavy tread of work boots either. Light. Some narrow, some broad, crossing and recrossing in patterns that didn't belong to a single lost man. "How many people have been down here since the cleaner found him?" "Just us. The doctor. Two uniforms." "Then explain these." She angled the beam low. The prints fanned out from a spot near the far wall, where the tiles gave way to a recessed alcove that had once held a ticket booth. "These prints are older than this morning. Look at the dust settled back into them. Days. Maybe a week." Banerjee crouched, squinting. "Could be the survey team came down ahead of him." "There was no survey team. The extension works don't reach this far for another two years. I checked the schedule before I came down." She straightened. "Hale wasn't surveying anything. He was looking for something. Or someone." She moved to the alcove. The dust there had been swept—not cleaned, swept, by the passage of many feet and the drag of something heavy. And on the brick, at shoulder height, a mark. She brought the torch close. A symbol, scratched fresh into the grime. Three curved lines meeting at a point, a crescent struck through. The brick beneath wore the pale colour of recent exposure, not the grey of decades. Her pulse changed. She knew that feeling—the small cold drop in the stomach that came when a case stopped being ordinary. She'd felt it three years ago, the night Morris vanished. She'd been ignoring that feeling for three years and it had cost her everything. "Bring the doctor back," she said. "I want a second look at the body." "Ma'am, with respect, the cause of death's not in question—" "The cause isn't. The circumstance is." She turned the torch back on Hale. "A man with a failing heart doesn't climb down a sealed staircase, walk a hundred yards into the dark with no light of his own, and lie down to die in the exact centre of an abandoned platform. Look at how he's positioned." She traced the air above the corpse. "Feet together. Arms arranged. Someone laid him out, Banderjee. This isn't where he fell. It's where he was placed." The detective constable went quiet. Quinn knelt again and lifted the open hand. The fingertips bore a faint residue—a fine grey powder, almost like ash, but it caught the torchlight with a dull mineral sheen. Bone. Ground bone. She'd seen its like once before, in an evidence bag from the Morris case, a bag that had gone missing from the locker before it ever reached the lab. She didn't touch it with her bare skin. She drew a glove from her pocket and pressed it flat against the residue, watching the powder cling. "He held something," she murmured. "Small. He held it in his fist and at the end he opened his hand and let it go. Or someone took it from him." "Held what?" "A token." The word surprised her as it left her mouth, and she didn't fully understand why she knew it, only that some buried part of her did. She looked again at the scratched symbol, at the swept floor, at the dozens of light feet that had come and gone in this dead place. "People came here. Regularly. They use this station for something, and Hale found his way in, and whatever he was holding got him through the door." She rose and faced the alcove, the cold drop in her stomach now a steady weight. "And then it killed him. Or they did." Banderjee's torch wavered. "Ma'am, none of that's going in a report I can file." "No," Quinn said, and pulled out her phone to photograph the symbol, the prints, the powder on the dead man's hand. "It isn't. Not yet." She held the camera steady. Behind her, somewhere down the black throat of the tunnel, water dripped in a rhythm that was almost, but not quite, like footsteps walking away.
created_at"2026-05-29T09:56:58.434Z" 5/29/2026, 9:56:58 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3655
moderation_latency(null)
generation_time43445
tokens_prompt1149
tokens_completion1728
native_tokens_prompt1595
native_tokens_completion2312
native_tokens_completion_images(null)
native_tokens_reasoning74
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"
usage0.065775
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provider_responses
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is_byokfalse
latency1569
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
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request_id"req-1780048618-bwZPDzsRad8u0L8nXzCQ"
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api_type"completions"
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total_cost0.065775
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences37
tagDensity0.297
leniency0.595
rawRatio0
effectiveRatio0
95.57% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1128
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"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)
68.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1128
totalAiIsms7
found
0
word"pulse"
count1
1
word"stomach"
count2
2
word"traced"
count1
3
word"weight"
count1
4
word"wavered"
count1
5
word"footsteps"
count1
highlights
0"pulse"
1"stomach"
2"traced"
3"weight"
4"wavered"
5"footsteps"
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
narrationSentences65
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences65
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences89
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen50
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1123
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount710
uniqueNames7
maxNameDensity0.7
worstName"Banerjee"
maxWindowNameDensity2
worstWindowName"Banerjee"
discoveredNames
Camden1
Blitz1
Banerjee5
Quinn5
Morris2
Hale2
Banderjee1
persons
0"Banerjee"
1"Quinn"
2"Morris"
3"Hale"
4"Banderjee"
places(empty)
globalScore1
windowScore1
91.86% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount1
matches
0"not quite like footsteps walking away"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1123
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences89
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean29.55
std23.6
cv0.799
sampleLengths
050
134
214
34
455
522
64
739
86
934
1051
1123
124
131
1442
1512
1617
1768
1812
196
2054
2113
2237
2339
2433
2545
2614
2710
2882
295
3062
3126
3230
332
34104
3514
3625
3730
99.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences65
matches
0"been swept"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs124
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences89
ratio0.056
matches
0"The stairs down into the old Camden station hadn't seen public use since the Blitz, and the air carried it—damp brick, rust, the iron tang of old water."
1"Not one set—several."
2"The dust there had been swept—not cleaned, swept, by the passage of many feet and the drag of something heavy."
3"She knew that feeling—the small cold drop in the stomach that came when a case stopped being ordinary."
4"The fingertips bore a faint residue—a fine grey powder, almost like ash, but it caught the torchlight with a dull mineral sheen."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount717
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.022315202231520222
lyAdverbCount3
lyAdverbRatio0.0041841004184100415
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences89
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences89
mean12.62
std9.49
cv0.752
sampleLengths
028
122
220
314
414
54
68
725
88
914
107
113
127
135
144
154
1635
176
1814
1920
2011
2119
227
232
2412
255
2618
274
281
2922
3020
316
326
3317
3414
3512
3611
371
383
399
401
4117
4212
436
448
4527
4619
473
4810
4926
88.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.5730337078651685
totalSentences89
uniqueOpeners51
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences57
matches(empty)
ratio0
58.60% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences57
matches
0"She didn't go to the"
1"She never did."
2"He clicked his pen"
3"His face held no terror,"
4"She studied the open hand."
5"She rose, knees protesting, and"
6"She didn't believe it, and"
7"She walked the length of"
8"She angled the beam low"
9"She moved to the alcove."
10"She brought the torch close."
11"Her pulse changed."
12"She knew that feeling—the small"
13"She'd felt it three years"
14"She'd been ignoring that feeling"
15"She turned the torch back"
16"She traced the air above"
17"She'd seen its like once"
18"She didn't touch it with"
19"She drew a glove from"
ratio0.404
38.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences57
matches
0"The stairs down into the"
1"Quinn pressed her torch beam"
2"DC Banerjee waited at the"
3"Quinn descended the last three"
4"The platform opened before her,"
5"She didn't go to the"
6"She never did."
7"The body told you how"
8"Everything else told you why."
9"Banerjee flipped his notebook."
10"He clicked his pen"
11"Quinn crouched by the edge"
12"Hale lay on his back,"
13"His face held no terror,"
14"The kind of peace Banerjee"
15"She studied the open hand."
16"The fingers had curled slightly"
17"She rose, knees protesting, and"
18"Banerjee frowned at the empty"
19"She didn't believe it, and"
ratio0.842
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences57
matches(empty)
ratio0
23.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount4
matches
0"Some narrow, some broad, crossing and recrossing in patterns that didn't belong to a single lost man."
1"She knew that feeling—the small cold drop in the stomach that came when a case stopped being ordinary."
2"She looked again at the scratched symbol, at the swept floor, at the dozens of light feet that had come and gone in this dead place."
3"Behind her, somewhere down the black throat of the tunnel, water dripped in a rhythm that was almost, but not quite, like footsteps walking away."
34.09% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount2
matches
0"DC Banerjee waited, hands shoved into his coat, breath fogging"
1"She didn't, and the word came out flat enough that he heard it too"
95.95% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"She rose knees protesting (protest)"
1"she murmured (murmur)"
dialogueSentences37
tagDensity0.108
leniency0.216
rawRatio0.5
effectiveRatio0.108
79.8806%