Run: 2026-06-01-01KT1H3NRNMEECZYPKPQM0DTA4

Run Details

Duration:
44.2s
Cost:
$0.064225
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 abandoned Tube station stank of standing water and something older, something that crawled up the back of Quinn's throat and lodged there. She ducked under the tape a uniform had strung across the maintenance entrance and descended into the dark with her torch raised. Camden. Of course it was Camden. Every strange thing in this city seemed to funnel through these particular tunnels. "Detective Quinn." Sergeant Bell met her at the bottom of the stairwell, his face the colour of wet chalk. "Glad you're here. This one's—" He stopped, searching. "It's not right." "They never are. Show me." He led her along a platform that hadn't seen a train in sixty years. Tiles had peeled from the walls in long strips, and the air hummed with a charge she felt in her fillings. Her torch beam caught the body before Bell pointed it out. A man, mid-forties, slumped against the far wall beneath an advertisement faded to ghostly suggestion. His arms were splayed, palms up, as though he'd been waiting to catch something. No blood. That was the first thing wrong. A body in this posture, this stillness, should have shown trauma somewhere. Quinn crouched two feet from him and let the torch travel. "Cause of death?" "That's the thing." Bell crouched beside her, eager now, relieved to share the weight. "Medical examiner's not been down yet, but there's no wound. No marks. Looks like he just—sat down and stopped." "People don't sit down and stop." She studied the man's face. The eyes were open, fixed on a point above her head, and his mouth hung slack. Frost rimed his eyebrows and the stubble along his jaw. "It's not cold enough down here for that." "For what?" She gestured at the frost without touching it. "He froze. From the inside, by the look of it. But the platform's what—fifteen degrees? Sixteen?" Bell rubbed his arms. "Felt colder when I first came down. Could've sworn I could see my breath." Quinn filed that away and shifted her attention to the floor. Dust covered everything, decades of it, undisturbed except for two sets of footprints. One belonged to the victim—she could trace where he'd walked the platform's length, paced it, even, the prints overlapping. The other set belonged to Bell, fresh and heavy-soled. No third set. No one had carried this man here, and no one had walked away from him. "Who found him?" "Anonymous call. Bloke phoned it in from a box near the high street, wouldn't give a name, said there was a dead man under the old station." Bell paused. "Voice was wrong, the operator said. Echoey. Like he was calling from inside a well." "And how did our caller see a body in a sealed station he supposedly never entered?" Bell had no answer. Quinn hadn't expected one. She rose and walked the platform's edge, sweeping her torch into the gap where rails should have run. The tracks had been pulled up long ago, leaving a trench of gravel and refuse. Her beam snagged on something pale near the victim's feet. A token. Small, white, the colour of old teeth. She pulled an evidence glove from her coat and lifted it. Bone—actual bone, carved with marks she didn't recognise, worn smooth at the edges as though handled often. "What's that?" Bell leaned in. "Don't know yet." She didn't tell him her pulse had quickened. She'd seen one of these before, three years ago, in the pocket of a man who'd told her things she'd worked hard to forget. The night she'd lost Morris. "Probably a button or something the homeless lot dropped," Bell offered. "They get down here sometimes. Maybe he was one of them—came down to sleep rough, heart gave out. Cold snap last week could explain the frost. Body's been here days, maybe." Quinn turned the token in the light. "His clothes are clean. Shoes, too—leather soles, hardly worn. He hasn't been sleeping rough. And a body left for days down here wouldn't look like this." She crouched again, close to the man's face. "No decomposition. No insects. By the state of him, he died within the last twelve hours. But the frost says otherwise. Frost takes time to form like that, builds slow." She tilted her head. "Unless it didn't come from outside him at all." Bell shifted his weight. "I don't follow." "Neither do I. Yet." She studied the advertisement above the body. The faded poster had once shown a woman holding a parasol, but mould and damp had eaten most of it away. Yet directly behind the victim's head, the wall bore a stain that hadn't come from water. Darker, radial, like soot thrown outward from a single point. As though something had opened there and slammed shut. She pressed two gloved fingers to the wall. Cold. Colder than the air, colder than the body. The chill seeped through the latex and into her knuckles, and the hairs on her arms lifted in answer. "Bell, feel this." He obliged, then snatched his hand back. "Bloody hell. That's like a freezer door." "And there's no freezer behind it. Just dirt and old London." She straightened, working it through. A man with clean shoes and no way in. A bone token at his feet. Frost from the inside. A wall that breathed cold where no cold should live. Footprints that began nowhere and ended at a corpse. "He came in another way," she said, more to herself than Bell. "Not the maintenance stairs. Not any door we'd recognise." "There's no other way in. I checked the whole platform. Sealed at both ends—I had the lads confirm before you arrived." "You checked for doors." Quinn looked again at the soot-stain, at the way the dust at the victim's feet had been scoured clean in a perfect arc, as if by a wind that had blown once and never again. "I don't think he used a door." Bell laughed, the sound thin and uneasy. "What, you reckon he fell out of the sky?" She didn't answer. She crouched a final time and looked into the dead man's open eyes, where the reflection of her torch should have shone. It didn't. The pupils swallowed the light whole, two wells of black that gave back nothing. Three years ago she'd seen eyes like that, in a face she'd loved, in a tunnel not unlike this one. She'd told herself she imagined it. She'd told the inquiry it was shock. "Bell," she said, slipping the bone token into an evidence bag and sealing it. "Get the ME down here. And keep everyone else out. I want this scene exactly as it is until I've understood it." "You think you can?" Quinn rose, pocketing the bag, her jaw set hard against the cold pressing at her back. "I think," she said, "someone's been doing this for a long time. And I'm done pretending I can't see it."
created_at"2026-06-01T12:04:05.288Z" 6/1/2026, 12:04:05 PM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1102
moderation_latency(null)
generation_time43849
tokens_prompt1149
tokens_completion1704
native_tokens_prompt1595
native_tokens_completion2250
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"
usage0.064225
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_01Pjm3eS9Tm2S8R96KzVdjrd"
is_byokfalse
latency1102
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-1780315445-Q2YkfU663T1cuVoLwN2m"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1780315445-0Xv6jyJTMAeMF2Y9mW9J"
upstream_id"msg_01Pjm3eS9Tm2S8R96KzVdjrd"
total_cost0.064225
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
94.74% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags16
adverbTagCount2
adverbTags
0"She crouched again [again]"
1"Quinn looked again [again]"
dialogueSentences38
tagDensity0.421
leniency0.842
rawRatio0.125
effectiveRatio0.105
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1164
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)
74.23% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1164
totalAiIsms6
found
0
word"weight"
count2
1
word"pulse"
count1
2
word"quickened"
count1
3
word"chill"
count1
4
word"perfect"
count1
highlights
0"weight"
1"pulse"
2"quickened"
3"chill"
4"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
narrationSentences76
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences76
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
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
totalWords1157
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount772
uniqueNames5
maxNameDensity1.55
worstName"Bell"
maxWindowNameDensity3
worstWindowName"Bell"
discoveredNames
Tube1
Quinn7
Camden2
Bell12
Morris1
persons
0"Quinn"
1"Bell"
2"Morris"
places(empty)
globalScore0.723
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
totalMatches1
per1kWords0.864
wordCount1157
matches
0"not been down yet, but there's no wound"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences98
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean28.22
std19.27
cv0.683
sampleLengths
045
119
230
35
446
549
611
73
833
945
102
1124
1218
1352
1418
153
1644
1716
188
1943
2037
215
2240
2342
2484
257
2667
2736
283
2914
3054
3121
3221
3346
3416
3541
3633
3736
384
3916
4020
91.41% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences76
matches
0"were splayed"
1"been pulled"
2"been scoured"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs129
matches(empty)
84.55% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences98
ratio0.02
matches
0"One belonged to the victim—she could trace where he'd walked the platform's length, paced it, even, the prints overlapping."
1"Bone—actual bone, carved with marks she didn't recognise, worn smooth at the edges as though handled often."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount777
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.023166023166023165
lyAdverbCount2
lyAdverbRatio0.002574002574002574
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean11.81
std7.78
cv0.659
sampleLengths
023
122
21
35
413
519
68
73
85
914
1021
1111
1215
1314
142
156
1612
1711
183
1914
2019
2111
2216
2310
248
252
268
2716
284
2914
3011
3113
3219
339
343
3515
363
3729
3815
3916
404
414
4218
4315
4410
452
467
4711
4817
495
80.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5102040816326531
totalSentences98
uniqueOpeners50
49.02% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences68
matches
0"Of course it was Camden."
ratio0.015
78.82% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences68
matches
0"She ducked under the tape"
1"He stopped, searching"
2"He led her along a"
3"Her torch beam caught the"
4"His arms were splayed, palms"
5"She studied the man's face"
6"She gestured at the frost"
7"She rose and walked the"
8"Her beam snagged on something"
9"She pulled an evidence glove"
10"She didn't tell him her"
11"She'd seen one of these"
12"She crouched again, close to"
13"She tilted her head"
14"She studied the advertisement above"
15"She pressed two gloved fingers"
16"He obliged, then snatched his"
17"She straightened, working it through"
18"she said, more to herself"
19"She didn't answer."
ratio0.353
40.88% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount57
totalSentences68
matches
0"The abandoned Tube station stank"
1"She ducked under the tape"
2"Every strange thing in this"
3"Sergeant Bell met her at"
4"He stopped, searching"
5"He led her along a"
6"Tiles had peeled from the"
7"Her torch beam caught the"
8"A man, mid-forties, slumped against"
9"His arms were splayed, palms"
10"That was the first thing"
11"A body in this posture,"
12"Quinn crouched two feet from"
13"Bell crouched beside her, eager"
14"She studied the man's face"
15"The eyes were open, fixed"
16"Frost rimed his eyebrows and"
17"She gestured at the frost"
18"Bell rubbed his arms."
19"Quinn filed that away and"
ratio0.838
73.53% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences68
matches
0"As though something had opened"
ratio0.015
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount1
matches
0"The abandoned Tube station stank of standing water and something older, something that crawled up the back of Quinn's throat and lodged there."
62.50% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount2
matches
0"Sergeant Bell met, his face the colour of wet chalk"
1"she said, more to herself than Bell"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences38
tagDensity0.079
leniency0.158
rawRatio0
effectiveRatio0
89.9099%