Run: 2026-02-19-01KHSSW0E7RPTXKPF2T5HXVHMA

Run Details

Duration:
40.1s
Cost:
$0.025323
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 smelled of damp concrete and something older — a mineral sharpness that caught at the back of Quinn's throat the moment she ducked under the police tape. Her torch swept the platform in a long arc. The beam caught fractured Victorian tiles, a collapsed ticket booth, and three forensic officers in white suits who moved between numbered yellow markers like ghosts haunting their own scene. She checked her watch. Half two in the morning. "How'd we even get a call out here?" She directed the question at DS Patel, who stood at the platform edge with a clipboard pressed to his chest and a look on his face like a man who'd bitten into something and wasn't sure yet what it was. "Anonymous tip. Uniform responded, found the body, and called it in." He tilted his head toward the far end of the platform. "It's a strange one, Quinn." She walked the length of the platform without rushing, letting her eyes drag across the details. Rusted iron benches. A row of old enamel signs — CAMDEN TOWN in faded blue — and beneath them, along the base of the wall, a collection of objects that stopped her mid-stride. Tables fashioned from wooden pallets. Shelving units bolted into the brickwork. Brass fittings and glass jars and what appeared to be, at a distance, the dried and pinned wing of something with too many joints. Not an abandoned station, then. Not simply. She crouched in front of a low shelf and let the torchlight move over the jars without touching them. Powders in colours she had no name for. A sealed vessel with something coiled inside it that she chose not to examine at length. The labels were handwritten in a script she didn't recognise. "Someone was trading down here," she said. "That's one theory." Patel appeared at her shoulder. "My theory is a drug operation. Some of this is consistent with chemical processing. We've sent samples to the lab." Quinn straightened and moved on without answering. She'd learned over eighteen years that the fastest way to miss something was to name it too early. The body was at the far end of the platform, where the tunnel mouth yawned black and the cold came rolling out of the dark in waves. Male, mid-forties, lying on his back with his arms at his sides in a posture so composed it looked arranged. The forensic pathologist, a compact woman named Dr. Osei, was kneeling beside him with a penlight. "Talk to me, Osei." "No external trauma. No signs of struggle. No defensive wounds, no bruising, no ligature marks." Osei sat back on her heels. "Preliminary observation is cardiac event, but I'll reserve that until I open him up." "He just lay down and died." "People have done stranger things." Quinn stood over the body and looked at the man's hands. Clean. The nails trimmed. He wore a good coat — good enough that its presence in this place was its own kind of evidence. She looked at his face. The expression was not the slack vacancy of a man surprised by death but something closer to relief. Her torchlight dropped to the ground around him. The concrete was dusty with age, and in the dust she could see the impressions of feet — dozens of them, overlapping, a record of movement that spoke to regular use of this space. The impressions converged in the centre of the platform, near a cleared area she'd noticed but not yet approached. She walked to it now. The cleared space was a rough circle, perhaps four metres across. The dust had been swept back from it deliberately. Around its perimeter someone had scratched marks into the concrete — not graffiti, not the bored geometry of teenagers, but careful, repeating symbols, the kind that carried intention in every line. In the centre of the circle, where she might have expected to find a focal point of some kind, there was only a small depression in the floor and, beside it, the faint green smear of oxidised metal. Quinn crouched and examined the smear without touching it. "Patel." He came over. "What do you make of this?" He looked at the circle, at the symbols, at the depression. "Ritual staging. Possibly for theatrical effect — there's a whole subset of organised crime that leans into occult aesthetics to intimidate. I've seen it." "The green mark," she said. "That's verdigris." "Oxidised copper. Something small sat here for a long time." He shrugged. "Could be anything." Quinn photographed the marks with her phone, getting in close on each symbol, taking her time. She was not a superstitious woman. She had no framework for this kind of thing and had never needed one. But she'd learned to catalogue what she didn't understand with the same rigour she applied to everything else, because understanding arrived later, and it arrived faster when you'd recorded the details faithfully. She stood and turned back toward the body, walking the sight line from the circle to where the man lay. Fifteen metres, perhaps. Direct line of sight to the tunnel mouth. Something had been here. Something small, brass, with a green patina. It had sat in the centre of that circle for long enough to leave its ghost behind, and now it was gone. She looked at the tunnel. "Has anyone gone down the line?" "It's a dead tunnel," Patel said. "No access from the other end." "Has anyone gone down it." A pause. "Not yet." Quinn took out a fresh pair of gloves, pulled them on, and lifted a heavier torch from the equipment case near the tape. She moved to the tunnel mouth and stood there for a moment with the beam pointed inward. The circle of light reached maybe thirty metres before the dark swallowed it. She was about to step forward when her radio crackled, and the uniform on the cordon above ground said, "Detective Quinn. There's a woman up here says she has information. She won't give a name. She's got a museum pass on her lanyard and a bag full of books, and she's asking specifically for you by name." Quinn kept her eyes on the tunnel. The cold came out of it steadily, and there was something beneath the mineral smell now — a warmth that had no business being there, faint and electric, like the air before a storm breaks. "Keep her there," she said. "I'm coming up."
created_at"2026-02-19T01:57:40.782Z" 2/19/2026, 1:57:40 AM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency566
moderation_latency(null)
generation_time39801
tokens_prompt1149
tokens_completion1605
native_tokens_prompt1146
native_tokens_completion1459
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"
usage0.025323
router(null)
provider_responses
0
endpoint_id"6d408764-7dd7-4626-bb87-a6cc1589bc86"
id"msg_01QwotNM8Mj1CEwuRJk6mQfE"
is_byokfalse
latency566
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
provider_name"Anthropic"
status200
api_type"completions"
id"gen-1771466260-760zTiPeNSAb76H2HswN"
upstream_id"msg_01QwotNM8Mj1CEwuRJk6mQfE"
total_cost0.025323
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
adverbTagCount1
adverbTags
0"Osei sat back [back]"
dialogueSentences26
tagDensity0.346
leniency0.692
rawRatio0.111
effectiveRatio0.077
95.36% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1077
totalAiIsmAdverbs1
found
0
adverb"deliberately"
count1
highlights
0"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)
81.43% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1077
totalAiIsms4
found
0
word"fractured"
count1
1
word"framework"
count1
2
word"warmth"
count1
3
word"electric"
count1
highlights
0"fractured"
1"framework"
2"warmth"
3"electric"
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
narrationSentences67
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences67
filterMatches
0"watch"
hedgeMatches
0"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences84
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1083
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions13
wordCount871
uniqueNames5
maxNameDensity0.8
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Tube1
Quinn7
Victorian1
Patel3
Dr1
persons
0"Quinn"
1"Patel"
2"Dr"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount0
matches(empty)
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords2.77
wordCount1083
matches
0"not the slack vacancy of a man surprised by death but something closer to relief"
1"not graffiti, not the bored geometry of teenagers, but careful, repeating symbols, the kind"
2"not the bored geometry of teenagers, but careful, repeating symbols, the kind"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences84
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean27.77
std25.05
cv0.902
sampleLengths
069
19
248
327
484
57
653
77
828
925
1063
114
1235
136
145
1558
1661
175
1889
199
201
213
226
2335
247
2515
2668
2731
2833
295
306
3112
325
334
3453
3519
3638
3742
388
89.55% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences67
matches
0"were handwritten"
1"been swept"
2"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs134
matches
0"was kneeling"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences84
ratio0.071
matches
0"The abandoned Tube station smelled of damp concrete and something older — a mineral sharpness that caught at the back of Quinn's throat the moment she ducked under the police tape."
1"A row of old enamel signs — CAMDEN TOWN in faded blue — and beneath them, along the base of the wall, a collection of objects that stopped her mid-stride."
2"He wore a good coat — good enough that its presence in this place was its own kind of evidence."
3"The concrete was dusty with age, and in the dust she could see the impressions of feet — dozens of them, overlapping, a record of movement that spoke to regular use of this space."
4"Around its perimeter someone had scratched marks into the concrete — not graffiti, not the bored geometry of teenagers, but careful, repeating symbols, the kind that carried intention in every line."
5"The cold came out of it steadily, and there was something beneath the mineral smell now — a warmth that had no business being there, faint and electric, like the air before a storm breaks."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount866
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.019630484988452657
lyAdverbCount6
lyAdverbRatio0.006928406466512702
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences84
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences84
mean12.89
std10.43
cv0.809
sampleLengths
031
19
229
34
45
548
622
75
816
93
1030
115
126
1324
145
152
1619
178
1816
1910
207
218
2220
237
2418
2527
2620
278
288
294
3021
3114
326
335
3411
351
363
3720
385
3918
408
4134
4219
435
4411
459
4631
4738
489
491
75.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4880952380952381
totalSentences84
uniqueOpeners41
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences59
matches(empty)
ratio0
84.41% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences59
matches
0"Her torch swept the platform"
1"She checked her watch."
2"She directed the question at"
3"He tilted his head toward"
4"She walked the length of"
5"She crouched in front of"
6"She'd learned over eighteen years"
7"He wore a good coat"
8"She looked at his face."
9"Her torchlight dropped to the"
10"She walked to it now."
11"He came over."
12"He looked at the circle,"
13"She was not a superstitious"
14"She had no framework for"
15"She stood and turned back"
16"It had sat in the"
17"She looked at the tunnel."
18"She moved to the tunnel"
19"She was about to step"
ratio0.339
36.27% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount50
totalSentences59
matches
0"The abandoned Tube station smelled"
1"Her torch swept the platform"
2"The beam caught fractured Victorian"
3"She checked her watch."
4"Half two in the morning."
5"She directed the question at"
6"He tilted his head toward"
7"She walked the length of"
8"A row of old enamel"
9"Tables fashioned from wooden pallets."
10"Brass fittings and glass jars"
11"She crouched in front of"
12"Powders in colours she had"
13"A sealed vessel with something"
14"The labels were handwritten in"
15"Patel appeared at her shoulder"
16"Quinn straightened and moved on"
17"She'd learned over eighteen years"
18"The body was at the"
19"The forensic pathologist, a compact"
ratio0.847
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences59
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount6
matches
0"The abandoned Tube station smelled of damp concrete and something older — a mineral sharpness that caught at the back of Quinn's throat the moment she ducked un…"
1"The beam caught fractured Victorian tiles, a collapsed ticket booth, and three forensic officers in white suits who moved between numbered yellow markers like g…"
2"A row of old enamel signs — CAMDEN TOWN in faded blue — and beneath them, along the base of the wall, a collection of objects that stopped her mid-stride."
3"The concrete was dusty with age, and in the dust she could see the impressions of feet — dozens of them, overlapping, a record of movement that spoke to regular…"
4"Around its perimeter someone had scratched marks into the concrete — not graffiti, not the bored geometry of teenagers, but careful, repeating symbols, the kind…"
5"The cold came out of it steadily, and there was something beneath the mineral smell now — a warmth that had no business being there, faint and electric, like th…"
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
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences26
tagDensity0.154
leniency0.308
rawRatio0
effectiveRatio0
78.0805%