Run: 2026-02-24-01KJ8TN14CWRHS65ESZ1W7YFCQ

Run Details

Duration:
50.3s
Cost:
$0.032979
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 uniform at the top of the service stairs had said "possible overdose, abandoned station," and Quinn had nodded and started down, her torch cutting a pale disc through the dark. Eighteen years had taught her what overdoses smelled like. This wasn't it. The smell that rose to meet her was older. Mineral and charred, like a struck match held too long. The stairwell let her out onto a platform that shouldn't have existed. Camden High Street rumbled somewhere above — she could feel it in the soles of her shoes — but down here the world had gone quiet in a way that pressed against the ears. Her torch swept across the platform and the beam bounced back off tile work, the old roundel signs still mounted to the walls, the station name long since faded to a pale ghost of letters. Someone had been busy down here long before tonight. Folding tables were collapsed against the far wall. Iron brackets had been drilled into the brickwork. A burnt-out brazier sat in the centre of the platform, its base circled by scorched marks that radiated outward in a pattern no chance spark had ever made. The body was at the far end of the platform, near the mouth of the tunnel. DS Callum Reeves was already crouching over it, his scene-kit bag open beside him, nitrile gloves pulled to his wrists. He looked up when he heard her footsteps. "Thought you were off rotation." "Marsden rang me directly." Quinn pulled on her own gloves. "What have we got?" "Male, mid-thirties, no identification. Blunt-force trauma to the back of the skull. Classic robbery gone wrong — the tunnel mouth connects to a maintenance passage that backs onto the canal path." Reeves gestured at the tunnel with his pen. "My money's on someone jumping him while he was down here, possibly squatting." Quinn crouched on the man's other side and looked at the face. Pale, slack, the blood beneath pooled and dark. She noted the clothing — good quality, not the kind of thing you'd find at a charity shop. The jacket was wool. The shoes were leather. "Squatting in a six-hundred-pound overcoat." "People fall on hard times." "How did he get down here? That stairwell's been sealed with a padlock." "Padlock was cut." "Before or after?" Reeves opened his mouth and closed it again. Quinn stood and moved her torch back along the platform, away from the body. The beam pulled details out of the dark. The folding tables weren't randomly collapsed — they'd been stacked deliberately, the way a market packs up at close. The iron brackets were uniform in spacing, a row of them running the length of the wall, and each one had a small hole drilled at its base. Pegs, or hooks. Display fixtures. She thought of the Camden market above and then dismissed the thought, because whatever had been displayed here was nothing sold in daylight. The floor told its own story if you knew how to read it. Foot traffic, heavy and recent, criss-crossing in the grime — not one or two people but dozens. The dust near the platform edge was disturbed in a wide arc, as though a crowd had gathered and then dispersed, not panicked, not rushed. Orderly. "There's no secondary scene." She turned back toward the body. "He wasn't robbed here and dragged. He dropped where he stands. No drag marks, no smear in the blood pool." Reeves stood up. "He could have walked in injured." "With a fracture at the rear of the skull." She crouched again, studying the wound. The edges were clean and deep, the kind that happened fast and final. No defensive marks on the hands. No scraped knuckles, no torn nails. He hadn't fought. She almost missed it. Her torch was moving back to his face when the beam caught something in his jacket breast pocket. The faintest green glint. She reached in with two fingers and drew it out. A compass, barely larger than a fifty-pence piece. Brass, the casing gone green with age along every seam and ridge. The face was etched — not printed, etched — with a series of interlocking marks that her eyes moved over and couldn't quite settle on. The needle was black rather than steel. She held it level and the needle swung away from north, swung past north, and pointed steadily in the direction of the tunnel mouth. "What's that?" Reeves stepped over. "Evidence." She turned it over. The back had the same markings, smaller, packed tighter. Not decorative. "Bag it." She straightened and shone the torch down the tunnel. The beam dissolved into dark after twenty metres but the rails were clearly visible, and they were not the rusted, broken rails of a long-dead line. They were clean. Too clean. "Reeves, when was this station decommissioned?" "Nineteen-something. The fifties, I'd have thought." "Then what's cleaned those rails." He came to stand beside her and looked down the beam's length. His jaw moved. Movement at the stairwell end of the platform. Quinn turned fast, hand going to her jacket, and the beam found a woman standing at the base of the stairs, frozen. Late twenties. Red curls, round glasses, a leather satchel clutched to her chest with both arms, her face a constellation of freckles drained of its colour. "Police." Quinn was already walking toward her. "Don't move." The woman's hands came up, the satchel swinging. One hand went instinctively to her hair, tucked a loose curl behind her left ear. "I'm not — I didn't — I'm a researcher." Her voice was controlled, barely. "Eva Kowalski. British Museum, restricted archives. I have identification." "Keep your hands where I can see them, Ms. Kowalski." Quinn stopped two metres away and looked at her properly. The shoes were mud-caked in the same white clay she'd seen in the grout lines between the platform tiles. She'd been here before tonight. "You want to tell me what a museum researcher is doing in a decommissioned Tube station at half past one in the morning?" Eva's green eyes moved to the far end of the platform, to the body, and the colour left her face entirely. "I gate-crashed." Her voice dropped. "I wasn't the only one here earlier. There was a market. There were maybe forty, fifty people." Her gaze dropped to Quinn's gloved hand. To the compass. "Where did you find that?" Quinn turned the compass once in her fingers and watched Eva Kowalski watch it with an expression that wasn't simply recognition. It was fear.
created_at"2026-02-24T21:59:57.335Z" 2/24/2026, 9:59:57 PM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1393
moderation_latency(null)
generation_time50231
tokens_prompt1149
tokens_completion1952
native_tokens_prompt1163
native_tokens_completion1966
native_tokens_completion_images(null)
native_tokens_reasoning309
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"
usage0.032979
router(null)
provider_responses
0
endpoint_id"6d408764-7dd7-4626-bb87-a6cc1589bc86"
id"msg_014HkmDUsgmiTwH5aLaxHGD2"
is_byokfalse
latency1385
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
provider_name"Anthropic"
status200
api_type"completions"
id"gen-1771970397-KK0jbK3wZSyyHezIeX1v"
upstream_id"msg_014HkmDUsgmiTwH5aLaxHGD2"
total_cost0.032979
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"

Evaluation details

Result Evaluator Details Meta Data
66.67% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount2
adverbTags
0"She turned back [back]"
1"She crouched again [again]"
dialogueSentences30
tagDensity0.333
leniency0.667
rawRatio0.2
effectiveRatio0.133
95.40% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1086
totalAiIsmAdverbs1
found
0
adverb"deliberately"
count1
highlights
0"deliberately"
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)
76.98% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1086
totalAiIsms5
found
0
word"could feel"
count1
1
word"footsteps"
count1
2
word"glint"
count1
3
word"etched"
count2
highlights
0"could feel"
1"footsteps"
2"glint"
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
narrationSentences77
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences77
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1096
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount867
uniqueNames8
maxNameDensity1.04
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Quinn9
High1
Street1
Callum1
Reeves5
Camden2
Eva2
Kowalski1
persons
0"Quinn"
1"Reeves"
2"Eva"
3"Kowalski"
places
0"High"
1"Street"
2"Camden"
globalScore0.981
windowScore0.833
59.09% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount2
matches
0"smelled like"
1"quite settle on"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.912
wordCount1096
matches
0"not one or two people but dozens"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences95
matches
0"marks that her"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean28.84
std28.41
cv0.985
sampleLengths
043
119
2134
316
428
55
614
752
846
95
105
1113
123
133
148
1597
1656
1730
189
1943
2036
2176
225
2318
2440
256
266
275
2815
2956
309
3123
3223
3367
3421
3537
3621
373
73.37% Passive voice overuse
Target: ≤2% passive sentences
passiveCount7
totalSentences77
matches
0"were collapsed"
1"been drilled"
2"been stacked"
3"been displayed"
4"was disturbed"
5"was etched "
6"was controlled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs145
matches
0"was already crouching"
1"was already walking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences5
totalSentences95
ratio0.053
matches
0"Camden High Street rumbled somewhere above — she could feel it in the soles of her shoes — but down here the world had gone quiet in a way that pressed against the ears."
1"She noted the clothing — good quality, not the kind of thing you'd find at a charity shop."
2"The folding tables weren't randomly collapsed — they'd been stacked deliberately, the way a market packs up at close."
3"Foot traffic, heavy and recent, criss-crossing in the grime — not one or two people but dozens."
4"The face was etched — not printed, etched — with a series of interlocking marks that her eyes moved over and couldn't quite settle on."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount866
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.03695150115473441
lyAdverbCount11
lyAdverbRatio0.012702078521939953
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean11.54
std8.73
cv0.756
sampleLengths
031
19
23
39
410
512
634
735
89
98
108
1128
1216
1320
148
155
1610
174
1839
1913
2012
218
2218
234
244
255
265
2713
283
293
308
3114
328
3319
3428
353
362
3723
3813
3917
4025
411
4210
4320
443
456
4615
4713
486
496
90.18% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.5789473684210527
totalSentences95
uniqueOpeners55
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences72
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences72
matches
0"Her torch swept across the"
1"He looked up when he"
2"She noted the clothing —"
3"She thought of the Camden"
4"She turned back toward the"
5"She crouched again, studying the"
6"He hadn't fought."
7"She almost missed it."
8"Her torch was moving back"
9"She reached in with two"
10"She held it level and"
11"She turned it over"
12"She straightened and shone the"
13"They were clean."
14"He came to stand beside"
15"His jaw moved."
16"Her voice was controlled, barely"
17"She'd been here before tonight."
18"Her voice dropped"
19"Her gaze dropped to Quinn's"
ratio0.292
15.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences72
matches
0"The uniform at the top"
1"This wasn't it."
2"The smell that rose to"
3"Mineral and charred, like a"
4"The stairwell let her out"
5"Camden High Street rumbled somewhere"
6"Her torch swept across the"
7"Someone had been busy down"
8"Iron brackets had been drilled"
9"A burnt-out brazier sat in"
10"The body was at the"
11"DS Callum Reeves was already"
12"He looked up when he"
13"Quinn pulled on her own"
14"Reeves gestured at the tunnel"
15"Quinn crouched on the man's"
16"She noted the clothing —"
17"The jacket was wool."
18"The shoes were leather."
19"Reeves opened his mouth and"
ratio0.889
69.44% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences72
matches
0"To the compass."
ratio0.014
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount2
matches
0"The dust near the platform edge was disturbed in a wide arc, as though a crowd had gathered and then dispersed, not panicked, not rushed."
1"Quinn turned the compass once in her fingers and watched Eva Kowalski watch it with an expression that wasn't simply recognition."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"the service stairs had (have)"
dialogueSentences30
tagDensity0.033
leniency0.067
rawRatio1
effectiveRatio0.067
84.1748%