Run: 2026-02-24-01KJ8TZJR6KX7CRKYVCTHHZSCC

Run Details

Duration:
53.1s
Cost:
$0.032520
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
The rain came down in curtains, the kind that soaked through a coat collar in thirty seconds and didn't apologize for it. Quinn kept moving. She had picked up Herrera's trail outside the Raven's Nest twenty minutes ago — spotted him through the amber fog of the bar's green neon sign as he'd slipped out the side door with his collar turned up and his hands doing something she couldn't quite see. She'd been watching the place for three nights. She'd been watching him for two weeks. When he walked fast, she walked faster. When he broke into a run at the corner of Dean Street, so did she. Now she was losing him. He had a good stride for his height, controlled and economic, the kind of movement that didn't waste energy — someone trained to think about his body. The Saint Christopher medallion she'd clocked earlier caught a flash of headlight as he cut across Shaftesbury Avenue against the red, weaving between a black cab and a night bus without breaking pace. Quinn followed, one hand briefly on the bonnet of the cab to orient herself, and the driver laid on the horn hard enough to rattle her back teeth. "Police," she said to no one in particular, and kept running. She was fit — she had always been fit, even after Morris, even after the months of sitting very still in her flat watching the walls change color in the dark — but Herrera was younger and he knew these streets differently than she did. Not better. Differently. He moved like someone who had mapped the city through service entrances and alley shortcuts and the unlit spaces between streetlamps, which told her something. The NHS didn't teach you that. Something else did. He turned north on Charing Cross Road and she gained on him by thirty feet, close enough to see the wet curl of his dark hair plastered against the back of his neck, close enough that she thought about calling out. She decided against it. Let him run. Let him lead. She watched him reach into his jacket pocket without slowing down. His right hand closed on something she couldn't identify from this distance, and when he made his next turn — sharp left, cutting through a narrow pedestrian alley that smelled of old cardboard and chip oil — she counted to three before following. Turned the corner ready. He was gone. Quinn stopped. She stood in the alley with rain hammering her shoulders and scanned the length of it — a dumpster against the left wall, a broken bicycle frame, a fire exit door painted shut so many seasons ago the hinges had rusted into decoration. No Herrera. She pressed herself against the brickwork and listened. Street noise, rain, a distant siren. The particular silence of a space that someone has just vacated. Then, below all of it, something else. A low mechanical sound, like an old ventilation system drawing breath, coming up through the grate at her feet. She crouched. The grate was iron, old London infrastructure, the kind of thing that had been in the ground since before the Jubilee line was built. Heavy. Except it hadn't been opened recently — or it had, and recently was relative, because the disturbed rust along its near edge caught the orange light from the alley mouth in a way that told her someone had lifted it within the last few minutes. Quinn sat back on her heels and let the rain run down her face. She checked her watch — the worn strap, the scratched crystal, her left wrist. Twenty past eleven. She had her radio, her badge, her service weapon. She had approximately zero backup, because backup required paperwork and paperwork required explanations she wasn't equipped to give anyone in her chain of command yet. Not without evidence. Not without something that made sense in a report. She thought about Morris. DS Morris who had followed a lead into a basement in Whitechapel three years ago and come out wrong. Who had sat across from her in the car afterward and looked at her with his own eyes but hadn't been entirely himself behind them, not anymore, and who had died six weeks later of causes she still could not make fit into any box the inquest provided. She had spent three years trying to work out what kind of box it required. She was beginning to understand the shape of it. Quinn gripped the grate with both hands and pulled. The drop was eight feet onto a concrete shelf, which she handled badly — rolled her left ankle on the landing and bit down on the sound that wanted to come out of her mouth. She stood, tested the ankle, bore weight on it. Manageable. Below the shelf, a corroded staircase descended into darkness and warm air that smelled of something she had no clean reference for. Something mineral and old, like river water through limestone, with underneath it something almost chemical. Almost sweet. She had a torch in her inside pocket. She turned it on and followed the stairs down. The staircase opened into what had obviously once been a Tube platform — curved tile ceiling, the ghost of signage half-scraped from the walls, track beds filled with rubble and decades of sediment. But the platform itself had been transformed into something that bore no relationship to any decommissioned station she had ever seen. Quinn stopped at the bottom step and simply looked. Stalls. Dozens of them, draped in dark cloth, lit by lanterns that produced light in colors she couldn't name precisely — amber that was too red, white that was too blue, a greenish luminescence that came from no visible source. People moved between them, some ordinary-looking in overcoats and trainers, some in garments that had no obvious era or origin. From the nearest stall, glass jars were arranged in rows, each containing something suspended in liquid that shifted when nobody touched them. From another, what appeared to be maps — but maps of places with coastlines she didn't recognize, topographies that couldn't correspond to anywhere she had ever been. Nobody had noticed her. Or nobody had reacted to her. She wasn't certain they were the same thing. Herrera was forty feet ahead, moving through the crowd with his shoulders down, speaking quietly to a figure at one of the stalls — a woman, older, with her grey hair pinned severely and her back to Quinn. He hadn't seen her come down. His hand was still closed around whatever he'd taken from his pocket, and as Quinn watched, he opened it briefly and showed the contents to the woman. A small white object, smooth, the size of a large coin. The woman nodded once and the transaction changed shape — names, or something functionally similar, exchanged in low tones, and then a package that the woman retrieved from beneath her table. Quinn put her back against the curved tile wall and kept her torch off. She catalogued: exits she could identify, which were two — the stairs she'd come down, and something at the far end of the platform that might be a passage or might be a dead end. She catalogued: the people nearest to her, who were three, none of them looking her way. She catalogued: Herrera, who was completing whatever it was he'd come here to do, who was sliding the package inside his jacket, who would turn in approximately ten seconds and might see her. She catalogued, finally: the feeling in her chest that was not quite fear and not quite recognition but something that lived in the narrow country between them. She had felt this before. Once, in a Whitechapel basement. Once, six weeks later, sitting in a hospital corridor alone. The feeling that the world was larger and stranger and more structurally unsound than anything she had been trained to navigate. Quinn touched her badge through her coat. Solid. Real. Eighteen years of service made material in a piece of metal that meant nothing, probably, to anyone in this room. She stepped off the staircase and moved into the market. Whatever this was, she had come too far to stand at the edge of it.
created_at"2026-02-24T22:05:43.058Z" 2/24/2026, 10:05:43 PM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency597
moderation_latency(null)
generation_time53047
tokens_prompt914
tokens_completion2297
native_tokens_prompt935
native_tokens_completion1981
native_tokens_completion_images(null)
native_tokens_reasoning271
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"
usage0.03252
router(null)
provider_responses
0
endpoint_id"6d408764-7dd7-4626-bb87-a6cc1589bc86"
id"msg_017JWW8AysMVEQ8h8BeBTktn"
is_byokfalse
latency555
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
provider_name"Anthropic"
status200
api_type"completions"
id"gen-1771970743-wkbZzj8NvUp9r9EUetKz"
upstream_id"msg_017JWW8AysMVEQ8h8BeBTktn"
total_cost0.03252
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
92.68% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1366
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"precisely"
count1
highlights
0"very"
1"precisely"
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)
78.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1366
totalAiIsms6
found
0
word"scanned"
count1
1
word"silence"
count1
2
word"mechanical"
count1
3
word"crystal"
count1
4
word"weight"
count1
5
word"navigate"
count1
highlights
0"scanned"
1"silence"
2"mechanical"
3"crystal"
4"weight"
5"navigate"
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
narrationSentences90
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences90
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)
analyzedSentences90
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
totalWords1382
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount1381
uniqueNames18
maxNameDensity0.72
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Herrera5
Raven1
Nest1
Dean1
Street2
Saint1
Christopher1
Shaftesbury1
Avenue1
Morris3
Charing1
Cross1
Road1
London1
Jubilee1
Whitechapel2
Tube1
Quinn10
persons
0"Herrera"
1"Saint"
2"Christopher"
3"Morris"
4"Quinn"
places
0"Raven"
1"Dean"
2"Street"
3"Shaftesbury"
4"Avenue"
5"Charing"
6"Cross"
7"Road"
8"London"
9"Whitechapel"
globalScore1
windowScore1
34.62% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences65
glossingSentenceCount3
matches
0"quite see"
1"into what had obviously once been a Tube pl"
2"not quite fear and not quite recognition but something that lived in the narrow country between them"
3"not quite recognition but something that lived in the narrow country between them"
55.28% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.447
wordCount1382
matches
0"not quite fear and not quite recognition but something"
1"not quite recognition but something"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences90
matches
0"feeling that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean44.58
std34.14
cv0.766
sampleLengths
025
184
25
388
411
582
651
758
83
947
1025
1126
1272
1314
1463
154
1682
179
189
1984
2017
2163
22109
2318
24113
2598
2647
2721
2829
2910
3015
81.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences90
matches
0"was gone"
1"was built"
2"been opened"
3"been transformed"
4"were arranged"
5"been trained"
78.79% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs220
matches
0"was losing"
1"was beginning"
2"was completing"
3"was sliding"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount16
semicolonCount0
flaggedSentences14
totalSentences90
ratio0.156
matches
0"She had picked up Herrera's trail outside the Raven's Nest twenty minutes ago — spotted him through the amber fog of the bar's green neon sign as he'd slipped out the side door with his collar turned up and his hands doing something she couldn't quite see."
1"He had a good stride for his height, controlled and economic, the kind of movement that didn't waste energy — someone trained to think about his body."
2"She was fit — she had always been fit, even after Morris, even after the months of sitting very still in her flat watching the walls change color in the dark — but Herrera was younger and he knew these streets differently than she did."
3"His right hand closed on something she couldn't identify from this distance, and when he made his next turn — sharp left, cutting through a narrow pedestrian alley that smelled of old cardboard and chip oil — she counted to three before following."
4"She stood in the alley with rain hammering her shoulders and scanned the length of it — a dumpster against the left wall, a broken bicycle frame, a fire exit door painted shut so many seasons ago the hinges had rusted into decoration."
5"Except it hadn't been opened recently — or it had, and recently was relative, because the disturbed rust along its near edge caught the orange light from the alley mouth in a way that told her someone had lifted it within the last few minutes."
6"She checked her watch — the worn strap, the scratched crystal, her left wrist."
7"The drop was eight feet onto a concrete shelf, which she handled badly — rolled her left ankle on the landing and bit down on the sound that wanted to come out of her mouth."
8"The staircase opened into what had obviously once been a Tube platform — curved tile ceiling, the ghost of signage half-scraped from the walls, track beds filled with rubble and decades of sediment."
9"Dozens of them, draped in dark cloth, lit by lanterns that produced light in colors she couldn't name precisely — amber that was too red, white that was too blue, a greenish luminescence that came from no visible source."
10"From another, what appeared to be maps — but maps of places with coastlines she didn't recognize, topographies that couldn't correspond to anywhere she had ever been."
11"Herrera was forty feet ahead, moving through the crowd with his shoulders down, speaking quietly to a figure at one of the stalls — a woman, older, with her grey hair pinned severely and her back to Quinn."
12"The woman nodded once and the transaction changed shape — names, or something functionally similar, exchanged in low tones, and then a package that the woman retrieved from beneath her table."
13"She catalogued: exits she could identify, which were two — the stairs she'd come down, and something at the far end of the platform that might be a passage or might be a dead end."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1367
adjectiveStacks0
stackExamples(empty)
adverbCount50
adverbRatio0.036576444769568395
lyAdverbCount19
lyAdverbRatio0.013899049012435992
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences90
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences90
mean15.36
std13.15
cv0.856
sampleLengths
022
13
247
38
47
57
615
75
827
933
1028
1111
1245
132
141
1525
166
173
1841
194
203
213
2211
2343
244
253
262
2743
282
298
306
3111
327
3319
342
3524
361
3745
3814
3914
403
419
4225
433
449
454
4619
4748
4815
499
54.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.4222222222222222
totalSentences90
uniqueOpeners38
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences79
matches
0"Then, below all of it,"
1"Once, in a Whitechapel basement."
2"Once, six weeks later, sitting"
ratio0.038
57.97% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences79
matches
0"She had picked up Herrera's"
1"She'd been watching the place"
2"She'd been watching him for"
3"He had a good stride"
4"she said to no one"
5"She was fit — she"
6"He moved like someone who"
7"He turned north on Charing"
8"She decided against it."
9"She watched him reach into"
10"His right hand closed on"
11"He was gone."
12"She stood in the alley"
13"She pressed herself against the"
14"She checked her watch —"
15"She had her radio, her"
16"She had approximately zero backup,"
17"She thought about Morris."
18"She had spent three years"
19"She was beginning to understand"
ratio0.405
86.58% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences79
matches
0"The rain came down in"
1"Quinn kept moving."
2"She had picked up Herrera's"
3"She'd been watching the place"
4"She'd been watching him for"
5"He had a good stride"
6"The Saint Christopher medallion she'd"
7"Quinn followed, one hand briefly"
8"she said to no one"
9"She was fit — she"
10"He moved like someone who"
11"The NHS didn't teach you"
12"Something else did."
13"He turned north on Charing"
14"She decided against it."
15"She watched him reach into"
16"His right hand closed on"
17"He was gone."
18"She stood in the alley"
19"She pressed herself against the"
ratio0.747
63.29% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences79
matches
0"Now she was losing him."
ratio0.013
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount14
matches
0"He had a good stride for his height, controlled and economic, the kind of movement that didn't waste energy — someone trained to think about his body."
1"He moved like someone who had mapped the city through service entrances and alley shortcuts and the unlit spaces between streetlamps, which told her something."
2"His right hand closed on something she couldn't identify from this distance, and when he made his next turn — sharp left, cutting through a narrow pedestrian al…"
3"Except it hadn't been opened recently — or it had, and recently was relative, because the disturbed rust along its near edge caught the orange light from the al…"
4"Below the shelf, a corroded staircase descended into darkness and warm air that smelled of something she had no clean reference for."
5"But the platform itself had been transformed into something that bore no relationship to any decommissioned station she had ever seen."
6"Dozens of them, draped in dark cloth, lit by lanterns that produced light in colors she couldn't name precisely — amber that was too red, white that was too blu…"
7"People moved between them, some ordinary-looking in overcoats and trainers, some in garments that had no obvious era or origin."
8"From another, what appeared to be maps — but maps of places with coastlines she didn't recognize, topographies that couldn't correspond to anywhere she had ever…"
9"She catalogued: exits she could identify, which were two — the stairs she'd come down, and something at the far end of the platform that might be a passage or m…"
10"She catalogued: the people nearest to her, who were three, none of them looking her way."
11"She catalogued: Herrera, who was completing whatever it was he'd come here to do, who was sliding the package inside his jacket, who would turn in approximately…"
12"She catalogued, finally: the feeling in her chest that was not quite fear and not quite recognition but something that lived in the narrow country between them."
13"Eighteen years of service made material in a piece of metal that meant nothing, probably, to anyone in this room."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
82.7979%