Run: 2026-05-31-01KSYXHSFAPTF41T08R3D9D898

Run Details

Duration:
38.4s
Cost:
$0.057450
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 body lay at the bottom of the escalator, but the escalator hadn't run in forty years. Detective Harlow Quinn paused at the top of the frozen metal staircase, taking in the dust that coated each ridged step. Camden Town station's abandoned eastern shaft had been sealed since the seventies, and the air carried the particular staleness of a place that breathed only its own decay. Below her, a constable's torch threw jittering light across the dead man's face. "Mind the third step from the bottom," a voice called up. "It's loose." Quinn descended without answering, counting steps out of habit. Her worn leather watch caught what little light filtered down from the surface. Eleven forty. She'd been pulled from a warm bed for this. The man at the base wore a tailored grey suit, no overcoat, despite a night that had dropped close to freezing. Mid-fifties, well-fed, manicured hands. His left shoe had come off and rested two steps above him, the way shoes did when a body fell. "DC Pratt." The constable straightened. "Caretaker found him during a routine inspection. Says the gate up top was padlocked from the outside." "Then how did our friend get down here?" Pratt shifted his weight. "Service entrance, off the Northern line platform. We figure he came in that way, lost his footing on the dead escalator in the dark, took the tumble. Broke his neck." He gestured at the unnatural angle of the man's head. "Open and shut. Sad, but simple." Quinn crouched. She didn't touch the body. She looked. "Who is he?" "No wallet, no phone. But the suit's Savile Row. We'll have a name by morning." She let her gaze travel up the dead man's frame, then back to the escalator's steel teeth. The dust lay thick and undisturbed across the steps above him — except for a single trail where the loosed shoe had skidded. No scuff marks. No drag lines. A man who fell down forty feet of staircase left a story written in the grime. This one had left a sentence. "Pratt." She tapped the step beside her. "Where's the dust?" "Ma'am?" "He falls. He tumbles. His hands grab, his heels scrape, his body rolls." She mimed it with two fingers walking through the air. "A fall leaves chaos. Look at these steps. Clean as a churchwarden's conscience, all the way up." She pointed to the dead man's palms, turned upward and pale in the torchlight. "And look at his hands. No abrasions. No dust ground into the skin. A man doesn't fall down a staircase and keep clean fingernails." Pratt frowned at the body as if it had personally embarrassed him. "Maybe he fell from the bottom landing. A short drop. The neck's the neck." "Then where's the blood?" She held her hand over the concrete beneath the skull without lowering it. "A broken neck this severe means impact. Significant impact. I'd expect a smear. A halo, at least." She rose, knees protesting, and swept her torch in a slow arc across the floor. "Nothing. He was arranged here. Posed." "Posed." Pratt said the word like it tasted wrong. "By who? The gate was locked, ma'am. From outside. There's the service door, and that's it. We checked. No one came down those steps tonight, and no one came in that door without a key." Quinn turned in place, taking the full measure of the shaft. Tile gone the colour of old teeth. A torn advertisement for a cigarette brand that no longer existed, the model's painted smile half-flaked away. And beneath the dust and damp and the cold mineral smell of the underground, something else. Something sharp at the back of her throat, like the air before a thunderstorm — ozone, but wrong, threaded with a sweetness that didn't belong this far from any flower. She'd smelled that scent once before. Three years ago. In the moments after DS Morris stopped answering his radio. Her jaw tightened. She crouched again, this time over the man's collar, and tugged it back with one gloved finger. The skin beneath was unmarked, save for a faint discolouration along the side of the throat — not bruising. A pattern. Thin lines branching like frost on a windowpane, silver-grey against the pallor. "You see that?" she said. Pratt leaned in, then recoiled. "What is that, some kind of rash?" "It's not a rash." She didn't know what it was. But she knew it didn't appear on men who'd simply lost their footing in the dark. A footstep scraped behind them. Quinn rose and turned, hand drifting toward her side, and found a young woman halfway down the escalator, curly red hair pinned back, round glasses fogged at the edges, a worn leather satchel clutched against her chest like a shield. "This is a crime scene." Quinn's voice flattened. "How did you get past the cordon?" "The constable up top knows me." The woman tucked a loose strand behind her left ear. "Eva Kowalski. I consult. For the Museum. The restricted archives." She descended the rest of the way, stepping over the loose third step without looking, as if she'd been warned — or knew. Her gaze went straight to the body's throat. To the silver branching. And her face did something complicated. "You recognise that," Quinn said. Not a question. "I shouldn't be here." Eva's eyes flicked up, green and quick. "And neither should he. I mean — not here. Not like this." "What does that mean?" "It means your fall theory is wrong, Detective." Eva crouched where Quinn had, peering at the marks without touching. "But you already knew that, didn't you. The dust. The hands." She glanced up. "You're the one who worked the Morris case." The name landed like a struck bell. Quinn went still. Above them, Pratt's torch wavered, and the cold sweet ozone thickened, and somewhere deeper in the sealed shaft, the dead escalator gave a single, impossible groan of moving metal.
created_at"2026-05-31T11:43:47.19Z" 5/31/2026, 11:43:47 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1149
moderation_latency(null)
generation_time38402
tokens_prompt1149
tokens_completion1483
native_tokens_prompt1595
native_tokens_completion1979
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"
usage0.05745
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_01QGUSC3X3yeE8gNRtodmHeT"
is_byokfalse
latency1149
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780227827-yIKr1yvHjQLXQuHIMqHK"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1780227827-rNcJZ7aB7RaC5gCGyG3x"
upstream_id"msg_01QGUSC3X3yeE8gNRtodmHeT"
total_cost0.05745
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount0
adverbTags(empty)
dialogueSentences35
tagDensity0.514
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount992
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
84.88% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount992
totalAiIsms3
found
0
word"weight"
count1
1
word"flicked"
count1
2
word"wavered"
count1
highlights
0"weight"
1"flicked"
2"wavered"
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
narrationSentences64
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences64
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences81
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords997
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount679
uniqueNames6
maxNameDensity1.33
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn9
Town1
Pratt5
Morris1
Eva2
persons
0"Harlow"
1"Quinn"
2"Pratt"
3"Morris"
4"Eva"
places
0"Town"
globalScore0.837
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences42
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount997
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences81
matches
0"smelled that scent"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean31.16
std23.24
cv0.746
sampleLengths
017
162
213
333
445
522
68
750
89
93
1015
1168
1210
131
1478
1526
1655
1744
1881
1919
2053
215
2212
2326
2445
2515
2667
278
2823
294
3041
3139
88.82% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences64
matches
0"been sealed"
1"been pulled"
2"been warned "
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs115
matches(empty)
1.76% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences81
ratio0.049
matches
0"The dust lay thick and undisturbed across the steps above him — except for a single trail where the loosed shoe had skidded."
1"Something sharp at the back of her throat, like the air before a thunderstorm — ozone, but wrong, threaded with a sweetness that didn't belong this far from any flower."
2"The skin beneath was unmarked, save for a faint discolouration along the side of the throat — not bruising."
3"\"Eva Kowalski. I consult. For the Museum. The restricted archives.\" She descended the rest of the way, stepping over the loose third step without looking, as if she'd been warned — or knew."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount679
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.023564064801178203
lyAdverbCount4
lyAdverbRatio0.005891016200294551
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences81
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences81
mean12.31
std9.51
cv0.773
sampleLengths
017
121
228
313
411
52
69
713
82
99
1021
114
1220
135
1417
158
164
1740
186
192
205
212
223
2315
2417
2523
263
273
2816
296
307
313
321
3323
3431
3524
3612
3714
3817
3932
406
419
4235
4311
447
4517
4616
4730
486
493
88.07% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5432098765432098
totalSentences81
uniqueOpeners44
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences58
matches(empty)
ratio0
95.86% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences58
matches
0"Her worn leather watch caught"
1"She'd been pulled from a"
2"His left shoe had come"
3"He gestured at the unnatural"
4"She didn't touch the body."
5"She let her gaze travel"
6"She tapped the step beside"
7"She mimed it with two"
8"She pointed to the dead"
9"She held her hand over"
10"She rose, knees protesting, and"
11"She'd smelled that scent once"
12"Her jaw tightened."
13"She crouched again, this time"
14"She didn't know what it"
15"She descended the rest of"
16"Her gaze went straight to"
17"She glanced up"
ratio0.31
72.07% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences58
matches
0"The body lay at the"
1"Detective Harlow Quinn paused at"
2"Camden Town station's abandoned eastern"
3"a voice called up"
4"Quinn descended without answering, counting"
5"Her worn leather watch caught"
6"She'd been pulled from a"
7"The man at the base"
8"His left shoe had come"
9"The constable straightened"
10"Pratt shifted his weight."
11"He gestured at the unnatural"
12"She didn't touch the body."
13"She let her gaze travel"
14"The dust lay thick and"
15"A man who fell down"
16"This one had left a"
17"She tapped the step beside"
18"She mimed it with two"
19"She pointed to the dead"
ratio0.776
86.21% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences58
matches
0"To the silver branching."
ratio0.017
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount2
matches
0"Camden Town station's abandoned eastern shaft had been sealed since the seventies, and the air carried the particular staleness of a place that breathed only it…"
1"Something sharp at the back of her throat, like the air before a thunderstorm — ozone, but wrong, threaded with a sweetness that didn't belong this far from any…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"She rose knees protesting (protest)"
dialogueSentences35
tagDensity0.114
leniency0.229
rawRatio0.25
effectiveRatio0.057
89.2973%