Run: 2026-05-29-01KSSKCHBXMSAS62PEWN8DR5WZ

Run Details

Duration:
42.9s
Cost:
$0.064395
Provider:
Anthropic

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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.

Model response

AI
Rain came down in sheets across Camden, turning the streets to black mirrors that broke apart beneath Quinn's boots. She ran with her coat slapping wet against her thighs, eyes locked on the figure thirty meters ahead — the curly dark hair plastered flat now, the olive skin gone pale under the sodium glare of the streetlamps. Tomás Herrera. The medic. The one she'd been watching for six weeks. "Herrera!" Her voice tore through the downpour and bounced off the shuttered storefronts. "Stop. Police!" He didn't stop. Of course he didn't. He cut left into a service alley, knocking over a stack of crates that came apart against the cobbles, and Quinn vaulted them without breaking stride. Eighteen years on the force had taught her body to move while her mind raced ahead, plotting angles, anticipating turns. He was younger than her by twelve years and faster on a straightaway, but he ran like a man who didn't know the geography, who was fleeing toward something rather than away. That was the part that bothered her. The alley spat them out onto a stretch of road behind the old market, where the buildings sagged with damp and the streetlights had given up entirely. Quinn's breath came hard and even, her arms pumping, water streaming off the close-cropped salt-and-pepper hair she kept short for exactly this reason — nothing to grab, nothing to slow her. She glanced at the worn leather watch on her left wrist out of habit. 11:52. Almost midnight. Almost the full moon, if she'd read the calendar right, though she didn't yet understand why that mattered. She only knew that for the last three days, the things she'd been chasing had grown stranger, and the people she'd been chasing had grown more afraid. Herrera vaulted a low chain-link fence and dropped into the recessed mouth of a stairwell — one of those forgotten access points to the dead Underground, the kind boarded over since before she'd joined the force. Except the boards weren't there. A gap yawned where the plywood should have been, and the dark inside it had a texture, a depth, that made the hair on her arms stand up. She reached the fence and stopped. Below her, the stairwell descended into nothing. No emergency lighting, no graffiti tags, none of the ordinary detritus of an abandoned space. Just steps going down, slick and worn, and at the bottom — faint, almost subliminal — the murmur of voices and the smell of something burning that wasn't smoke. Cloves and copper and ozone. The smell from the alley three years ago, the night Morris had walked into a building and never walked out, the night she'd filed a report no one had believed and she'd never fully accepted herself. Quinn's hand went to her hip. The weight of her sidearm was a small comfort. She could call it in. That was the procedure. Officer in pursuit, subject fled into a derelict structure, request backup before entry. But she knew what would happen if she did. By the time the cars arrived, Herrera would be gone, swallowed by whatever was down there, and she'd be standing over a boarded stairwell that the morning light would somehow show intact, the gap closed, the dark made ordinary again. It had happened before. Twice. She had learned not to trust the daylight version of these places. "Herrera!" she shouted down the stairs. "You don't have to run. I just want to talk." A lie, mostly. She wanted to arrest him. But she also wanted, badly, to understand — and the man knew things. She'd watched him slip into the back room of that Soho bar with the green neon sign, the place called the Raven's Nest, where the bookshelf swung open like a door for people who knew to push it. She'd watched him carry a black medical bag into buildings where people came out healed of wounds that should have killed them. He was a thread, and if she pulled it, the whole tapestry might come apart in her hands. His voice floated up, ragged with exertion and something close to pity. "You shouldn't be here, Detective. This isn't a place for people like you." "People like me?" She climbed over the fence, boots ringing on the metal. "What does that mean?" "It means go home." A pause. The voices below had quieted, as if the whole space were listening. "It means whatever happened to your partner — it'll happen to you. Worse." The mention of Morris hit her like a physical thing, a fist closing around her sternum. She froze on the top step, rainwater sluicing past her boots and disappearing into the dark below. "What do you know about Morris?" Her voice came out low and dangerous. No answer. Only footsteps, retreating, growing fainter. Quinn stood at the threshold. Behind her was the world she knew — procedure, paperwork, the comfortable fiction that the universe obeyed laws she'd been trained to enforce. Ahead of her was the thing she'd been circling for three years without admitting it, the seam in reality where her partner had vanished and where, she now understood, the answer had been waiting all along. She thought of Morris's wife at the funeral with no body, holding a folded flag over an empty box. She drew her weapon, kept it low along her thigh, and started down. The temperature dropped with each step, and not the way a cellar grew cool. This was the cold of held breath, of a place that existed slightly out of step with the rest of the city. The stairwell turned, and turned again, far longer than any platform descent had a right to be, and then opened. She stopped, and for a moment she forgot how to breathe. A vast tiled chamber spread before her — an abandoned Tube station, but alive with light from lanterns that burned colors she had no names for. Stalls lined the curved platform, draped in cloth, hung with bottles that glowed and bones that whispered and maps that redrew themselves as she watched. Figures moved among them, hooded and otherwise, and not all of them moved like people should. The air thrummed with bargaining, with low laughter, with the smell of cloves and copper and ozone now overwhelming. At the far end of the platform, Herrera turned. He saw her standing there at the foot of the stairs — a Metropolitan Police detective with her weapon drawn, her jaw set, water dripping from her coat onto the cracked tile of a market that wasn't supposed to exist. His face fell. "You followed," he said, and it sounded like a death sentence. "God help you, you actually followed." A hush rippled outward from where she stood. Heads turned. The whispering bones went silent. And Quinn realized, with the cold clarity that had kept her alive for eighteen years, that she had just walked into a room full of things that knew exactly what she was — and that not one of them was glad to see her. She raised her chin and tightened her grip on the gun. "Tomás Herrera," she said, her voice carrying across the impossible space, "you're under arrest." Somewhere in the dark, something began to laugh.
created_at"2026-05-29T10:09:57.128Z" 5/29/2026, 10:09:57 AM
model"anthropic/claude-4.8-opus-20260528"
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cancelledfalse
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generation_time42835
tokens_prompt914
tokens_completion1841
native_tokens_prompt1264
native_tokens_completion2323
native_tokens_completion_images(null)
native_tokens_reasoning55
native_tokens_cached0
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num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
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origin"https://ncbench.com/"
is_byokfalse
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latency1302
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences13
tagDensity0.462
leniency0.923
rawRatio0
effectiveRatio0
95.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1206
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
62.69% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1206
totalAiIsms9
found
0
word"raced"
count1
1
word"anticipating"
count1
2
word"pumping"
count1
3
word"streaming"
count1
4
word"weight"
count1
5
word"structure"
count1
6
word"tapestry"
count1
7
word"footsteps"
count1
8
word"comfortable"
count1
highlights
0"raced"
1"anticipating"
2"pumping"
3"streaming"
4"weight"
5"structure"
6"tapestry"
7"footsteps"
8"comfortable"
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
narrationSentences78
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences78
filterMatches
0"watch"
hedgeMatches
0"began 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
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1217
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount1147
uniqueNames11
maxNameDensity0.52
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden1
Quinn6
Herrera4
Underground1
Morris3
Soho1
Raven1
Nest1
Tube1
Metropolitan1
Police1
persons
0"Quinn"
1"Herrera"
2"Morris"
3"Raven"
places
0"Soho"
globalScore1
windowScore1
60.71% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount2
matches
0"something close to pity"
1"sounded like a death sentence"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1217
matches(empty)
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
totalParagraphs31
mean39.26
std33.08
cv0.843
sampleLengths
057
112
215
385
47
5120
669
76
892
915
1088
1116
1299
1325
1417
1531
1633
1713
187
1964
2019
2113
2256
2311
2486
2549
2620
2759
2811
2914
308
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences78
matches
0"been trained"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs207
matches
0"was fleeing"
1"were listening"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences9
totalSentences84
ratio0.107
matches
0"She ran with her coat slapping wet against her thighs, eyes locked on the figure thirty meters ahead — the curly dark hair plastered flat now, the olive skin gone pale under the sodium glare of the streetlamps."
1"Quinn's breath came hard and even, her arms pumping, water streaming off the close-cropped salt-and-pepper hair she kept short for exactly this reason — nothing to grab, nothing to slow her."
2"Herrera vaulted a low chain-link fence and dropped into the recessed mouth of a stairwell — one of those forgotten access points to the dead Underground, the kind boarded over since before she'd joined the force."
3"Just steps going down, slick and worn, and at the bottom — faint, almost subliminal — the murmur of voices and the smell of something burning that wasn't smoke."
4"But she also wanted, badly, to understand — and the man knew things."
5"Behind her was the world she knew — procedure, paperwork, the comfortable fiction that the universe obeyed laws she'd been trained to enforce."
6"A vast tiled chamber spread before her — an abandoned Tube station, but alive with light from lanterns that burned colors she had no names for."
7"He saw her standing there at the foot of the stairs — a Metropolitan Police detective with her weapon drawn, her jaw set, water dripping from her coat onto the cracked tile of a market that wasn't supposed to exist."
8"And Quinn realized, with the cold clarity that had kept her alive for eighteen years, that she had just walked into a room full of things that knew exactly what she was — and that not one of them was glad to see her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1141
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.028921998247151623
lyAdverbCount10
lyAdverbRatio0.008764241893076249
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
mean14.49
std11.03
cv0.761
sampleLengths
019
138
22
32
48
513
62
73
84
926
1020
1132
127
1327
1431
1514
161
172
1818
1927
2036
215
2228
236
247
2515
2629
275
2836
296
309
315
324
3313
349
3540
364
371
3812
396
4010
413
425
4313
4438
4522
4618
4712
4813
4913
71.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4578313253012048
totalSentences83
uniqueOpeners38
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences70
matches
0"Of course he didn't."
1"Almost the full moon, if"
2"Just steps going down, slick"
3"Only footsteps, retreating, growing fainter."
4"Somewhere in the dark, something"
ratio0.071
60.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences70
matches
0"She ran with her coat"
1"Her voice tore through the"
2"He didn't stop."
3"He cut left into a"
4"He was younger than her"
5"She glanced at the worn"
6"She only knew that for"
7"She reached the fence and"
8"She could call it in."
9"It had happened before."
10"She had learned not to"
11"she shouted down the stairs"
12"She wanted to arrest him."
13"She'd watched him slip into"
14"She'd watched him carry a"
15"He was a thread, and"
16"His voice floated up, ragged"
17"She climbed over the fence,"
18"She froze on the top"
19"Her voice came out low"
ratio0.4
74.29% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences70
matches
0"Rain came down in sheets"
1"She ran with her coat"
2"The one she'd been watching"
3"Her voice tore through the"
4"He didn't stop."
5"He cut left into a"
6"He was younger than her"
7"That was the part that"
8"The alley spat them out"
9"Quinn's breath came hard and"
10"She glanced at the worn"
11"She only knew that for"
12"Herrera vaulted a low chain-link"
13"A gap yawned where the"
14"She reached the fence and"
15"Cloves and copper and ozone."
16"The smell from the alley"
17"Quinn's hand went to her"
18"The weight of her sidearm"
19"She could call it in."
ratio0.771
71.43% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences70
matches
0"By the time the cars"
ratio0.014
38.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount6
matches
0"He was younger than her by twelve years and faster on a straightaway, but he ran like a man who didn't know the geography, who was fleeing toward something rath…"
1"Quinn's breath came hard and even, her arms pumping, water streaming off the close-cropped salt-and-pepper hair she kept short for exactly this reason — nothing…"
2"She'd watched him slip into the back room of that Soho bar with the green neon sign, the place called the Raven's Nest, where the bookshelf swung open like a do…"
3"The voices below had quieted, as if the whole space were listening."
4"He saw her standing there at the foot of the stairs — a Metropolitan Police detective with her weapon drawn, her jaw set, water dripping from her coat onto the …"
5"And Quinn realized, with the cold clarity that had kept her alive for eighteen years, that she had just walked into a room full of things that knew exactly what…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount2
matches
0"She climbed, boots ringing on the metal"
1"she said, her voice carrying across the impossible space,"
73.08% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences13
tagDensity0.231
leniency0.462
rawRatio0.333
effectiveRatio0.154
83.5953%