Run: 2026-02-19-01KHT0CCHYSG3V67D18JBP6F7Y

Run Details

Duration:
39.5s
Cost:
$0.025263
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 Tube station smelled of old iron and something else — something that didn't belong to any maintenance crew or urban fox. Detective Harlow Quinn crouched at the bottom of the emergency access stairs, letting her eyes adjust to the generator-powered floodlights her team had strung along the platform walls. The light was harsh and flat, the kind that made everyone look like suspects. Camden wasn't supposed to have an active station here. The maps said this stretch of tunnel had been bricked up in 1962. Someone had clearly disagreed. "Uniform found it at half three this morning." DS Patel appeared at her shoulder, tablet in hand, scrolling through preliminary photographs. He was young, thorough, and had the unfortunate habit of narrating what was already visible. "Male victim, mid-forties, no ID. Blunt force trauma to the back of the skull. Cashless wallet in his jacket, gym card in the name of R. Tolliver. We're running it." Quinn moved along the platform edge without responding. The tiles were original — cream with a green border, cracked in places, the ghost of a station name still legible under decades of grime. ALDWICH SOUTH. She'd never heard of it. "Medical examiner puts time of death between ten and midnight," Patel continued. "Where's the blood." "Sorry?" "Blunt force trauma to the back of the skull." She turned to look at him. "Where's the blood." He glanced at his tablet, then back at the body. The victim lay on his back near the far end of the platform, arms loose at his sides, palms up. A man in a quality overcoat with his shoes still on. "Perhaps he — " "Fell forward, bled out, someone moved him?" Quinn finished. "Then show me the blood pool. Show me the transfer. Show me a single scuff mark on that floor between where you think he fell and where he's lying." Patel looked at the floor. It was dusty, yes, but the dust was largely undisturbed except for the officer tracks from the initial response team. The victim's resting place was pristine. No drag lines, no heel tracks. "He wasn't moved here," Quinn said. "He was placed." She pulled on a fresh pair of gloves and crouched beside the body. R. Tolliver was a broad man, thick through the chest, the kind of weight that made placement a two-person job at minimum. His expression was neutral. Not frozen in shock the way victims of sudden violence usually were. Restful, almost. She'd seen that once before, that particular vacancy, on a case she wasn't allowed to think about. She tilted his chin gently and examined the wound at the back of his skull with her torch. Clean depression, no spidering fractures, no debris embedded in the tissue. Whatever made contact with him had been smooth. "Point of entry?" she called toward the far stairs. One of the forensics team answered. "We don't have one. The access hatch shows signs of recent use but there's no corresponding wear pattern on the stairs consistent with carrying a body." Quinn stood. She turned a slow circle, taking in the platform. The floodlights carved deep shadows behind the support columns, and she walked toward them, scanning the walls. Someone had cleared this space. The detritus of sixty years — the bird nests and damp cardboard and the particular archaeology of urban abandonment — had been brushed to the edges. The centre of the platform was clean. Not cleaned. Cleared deliberately. Ceremonially, something in the back of her mind offered, and she told it to sit down. Between two of the columns, where the light didn't quite reach, she found what she was looking for. "Patel. Bring me a secondary light." He did. When the beam swept the floor, they both saw it — a faint circular pattern in the dust, roughly two metres in diameter. Not scuff marks. Not footprints. Something had rested here, or been drawn here, and then erased with a careful hand. Within the circle's ghost, three points of contact remained, slight compressions in the debris consistent with something placed at regular intervals. A triangle inside the circle, if she mapped it. "Could be kids," Patel said. "Urban explorers. They do ritual things, take photographs, post it." "Urban explorers don't leave behind bodies and no blood." "Maybe they found him elsewhere and — " "Patel." She kept her voice even. "What did the access hatch look like on the inside." He pulled up the photograph on his tablet and handed it over. The hatch bolt was rusted solid. Quinn zoomed in on the photograph. The surrounding frame showed tool marks from the outside, fresh scratches in the rust patina — someone forcing it open — but the underside bolt was visibly corroded into its housing. It hadn't been turned in decades. Whoever had opened that hatch had done so only to establish a route for the officers responding to the call. The body hadn't come through there. So it hadn't come from above. And the only tunnels branching off the platform were bricked up. She walked to the nearest sealed arch and pressed two fingers flat against the brickwork, the way her father had taught her to test a wall. Solid, cold, damp. She moved to the second arch. The cold was different here. It moved. She pressed her palm flat. Behind the brick, air circulated — not the dead, stale breath of a sealed cavity, but a slow and deliberate current, as though something on the far side exhaled. She stepped back and studied the mortar lines. They were consistent with the rest of the platform at eye level. Below knee height they were not. The lower courses had been repointed recently, and not by a conservationist. The colour was fractionally whiter, the lines too clean. She photographed it without comment. Her torch caught something on the ground at the base of the arch — so small she'd nearly stepped over it twice. She crouched and looked without touching. A small object, brass, no bigger than a fifty-pence piece. Round. She could make out markings on its surface, fine-etched lines that weren't decorative in any way she recognised. She looked at it for a long moment, then looked at the sealed arch, then at the body lying composed and deliberate on the platform behind her. "Get me an evidence bag," she said.
created_at"2026-02-19T03:51:29.095Z" 2/19/2026, 3:51:29 AM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency564
moderation_latency(null)
generation_time39413
tokens_prompt1149
tokens_completion1602
native_tokens_prompt1146
native_tokens_completion1455
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.025263
router(null)
provider_responses
0
endpoint_id"6d408764-7dd7-4626-bb87-a6cc1589bc86"
id"msg_01TgH7NpPU8RwoNJ9VRoW2Ag"
is_byokfalse
latency564
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
provider_name"Anthropic"
status200
api_type"completions"
id"gen-1771473089-ChVAvij4JMHSwMK0pik3"
upstream_id"msg_01TgH7NpPU8RwoNJ9VRoW2Ag"
total_cost0.025263
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences22
tagDensity0.409
leniency0.818
rawRatio0
effectiveRatio0
90.52% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1055
totalAiIsmAdverbs2
found
0
adverb"gently"
count1
1
adverb"deliberately"
count1
highlights
0"gently"
1"deliberately"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
81.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1055
totalAiIsms4
found
0
word"pristine"
count1
1
word"weight"
count1
2
word"scanning"
count1
3
word"etched"
count1
highlights
0"pristine"
1"weight"
2"scanning"
3"etched"
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
narrationSentences83
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences83
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1063
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
totalMentions13
wordCount871
uniqueNames5
maxNameDensity0.69
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Tube1
Harlow1
Quinn6
Patel4
One1
persons
0"Harlow"
1"Quinn"
2"Patel"
places(empty)
globalScore1
windowScore1
62.28% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences57
glossingSentenceCount2
matches
0"quite reach, she found what she was looking for"
1"rside bolt was visibly corroded into its h"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.941
wordCount1063
matches
0"not the dead, stale breath of a sealed cavity, but a slow"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences96
matches
0"opened that hatch"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean31.26
std24.38
cv0.78
sampleLengths
064
126
266
340
412
53
61
718
845
938
1037
119
1270
1337
149
1532
1686
1718
186
1975
2015
219
228
2316
2412
2575
2652
277
2834
2947
305
3157
3227
337
75.67% Passive voice overuse
Target: ≤2% passive sentences
passiveCount7
totalSentences83
matches
0"been bricked"
1"been brushed"
2"been drawn"
3"was rusted"
4"been turned"
5"were bricked"
6"been repointed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs132
matches
0"was looking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences7
totalSentences96
ratio0.073
matches
0"The Tube station smelled of old iron and something else — something that didn't belong to any maintenance crew or urban fox."
1"The tiles were original — cream with a green border, cracked in places, the ghost of a station name still legible under decades of grime."
2"The detritus of sixty years — the bird nests and damp cardboard and the particular archaeology of urban abandonment — had been brushed to the edges."
3"When the beam swept the floor, they both saw it — a faint circular pattern in the dust, roughly two metres in diameter."
4"The surrounding frame showed tool marks from the outside, fresh scratches in the rust patina — someone forcing it open — but the underside bolt was visibly corroded into its housing."
5"Behind the brick, air circulated — not the dead, stale breath of a sealed cavity, but a slow and deliberate current, as though something on the far side exhaled."
6"Her torch caught something on the ground at the base of the arch — so small she'd nearly stepped over it twice."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount866
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.03348729792147806
lyAdverbCount13
lyAdverbRatio0.015011547344110854
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean11.07
std8.03
cv0.725
sampleLengths
022
128
214
39
413
54
621
715
830
98
1025
112
125
1312
143
151
1615
173
1810
1920
2011
214
229
2329
245
2520
266
276
286
293
3013
311
3221
334
3412
352
3617
3718
3811
398
409
416
4226
432
449
4517
465
4726
487
492
81.25% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.53125
totalSentences96
uniqueOpeners51
49.02% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences68
matches
0"Ceremonially, something in the back"
ratio0.015
78.82% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences68
matches
0"He was young, thorough, and"
1"She'd never heard of it."
2"She turned to look at"
3"He glanced at his tablet,"
4"It was dusty, yes, but"
5"She pulled on a fresh"
6"His expression was neutral."
7"She'd seen that once before,"
8"She tilted his chin gently"
9"she called toward the far"
10"She turned a slow circle,"
11"She kept her voice even"
12"He pulled up the photograph"
13"It hadn't been turned in"
14"She walked to the nearest"
15"She moved to the second"
16"She pressed her palm flat."
17"She stepped back and studied"
18"They were consistent with the"
19"She photographed it without comment."
ratio0.353
70.29% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount53
totalSentences68
matches
0"The Tube station smelled of"
1"Detective Harlow Quinn crouched at"
2"The light was harsh and"
3"Camden wasn't supposed to have"
4"The maps said this stretch"
5"Someone had clearly disagreed."
6"DS Patel appeared at her"
7"He was young, thorough, and"
8"Quinn moved along the platform"
9"The tiles were original —"
10"She'd never heard of it."
11"She turned to look at"
12"He glanced at his tablet,"
13"The victim lay on his"
14"A man in a quality"
15"Patel looked at the floor."
16"It was dusty, yes, but"
17"The victim's resting place was"
18"She pulled on a fresh"
19"Tolliver was a broad man,"
ratio0.779
73.53% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences68
matches
0"Whoever had opened that hatch"
ratio0.015
61.22% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount4
matches
0"The Tube station smelled of old iron and something else — something that didn't belong to any maintenance crew or urban fox."
1"Tolliver was a broad man, thick through the chest, the kind of weight that made placement a two-person job at minimum."
2"Behind the brick, air circulated — not the dead, stale breath of a sealed cavity, but a slow and deliberate current, as though something on the far side exhaled…"
3"She could make out markings on its surface, fine-etched lines that weren't decorative in any way she recognised."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"Patel continued (continue)"
dialogueSentences22
tagDensity0.227
leniency0.455
rawRatio0.2
effectiveRatio0.091
86.7886%