Run: 2026-05-31-01KSYXM2K1TS0EN9CSNBNMWAMM

Run Details

Duration:
43.8s
Cost:
$0.061945
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 like it meant to drown the city, hammering the awnings along Old Compton Street and turning the gutters into black rivers that swallowed cigarette butts and bus tickets whole. Detective Harlow Quinn ran through it with her collar up and her jaw set, her boots throwing up sprays of dirty water with every stride, and she did not slow. Ahead of her, perhaps thirty yards, the man she'd been watching for six weeks ducked between a shuttered patisserie and a doorway pulsing with cheap pink light. She'd memorized the shape of him from grainy CCTV stills — the curly dark hair, the medical bag he carried like it was bolted to his hand, the slight favoring of his left side. Tomás Herrera. Former paramedic. Struck off the register two years ago for reasons the NHS file described in language so careful it had told her almost nothing at all. *Administered treatments outside the scope of accepted practice.* She'd read it a dozen times. It meant something. Everything about the Raven's Nest crowd meant something, and tonight she meant to find out what. He glanced back. Just once — a flash of olive skin and white panic under a streetlamp — and then he bolted. "Police!" Quinn shouted, though the word vanished into the downpour. "Herrera, stop!" He didn't stop. They never did. She went after him at a flat sprint, eighteen years of service compressing into the mechanical rhythm of pursuit: eyes on the suspect, weight forward, feet finding the dry patches her mind catalogued without conscious thought. The leather watch on her wrist had stopped being a thing she noticed years ago, but she felt it now, the familiar weight of it ticking against her pulse as her arm pumped. Morris had bought her that watch. Morris, who'd chased a man down an alley three years ago and never come back out, and whose case file still sat in her bottom drawer because no one in the Met could explain how a healthy detective sergeant simply stopped existing between one CCTV frame and the next. She didn't think about Morris when she ran. She'd trained herself out of it. Mostly. Herrera cut north, away from the bright spine of Soho, into the capillary streets where the neon thinned and the shadows pooled. He was fast — faster than a man hauling a medical bag had any right to be — but he was running scared, and scared men made mistakes. He took a corner too wide and slammed his shoulder into a bin, sent it clattering, lost half a second scrambling upright. Quinn closed the gap to twenty yards. The chase spilled toward Camden somehow; she lost track of the turns, only knew the canal smell had crept into the rain, brackish and green. The streets here felt older, more crooked, the kind of place the A-to-Z seemed reluctant to map clearly. Herrera vaulted a low iron fence beside a Tube station that her memory insisted had been closed since before she'd joined the force — boarded up, decommissioned, the name plate scabbed over with decades of fly-posters. He pried at a sheet of corrugated metal where it met the brick. It gave with a screech, and he slid through the gap into darkness. Quinn reached the fence and stopped. Rain ran down the back of her neck. Her breath came hard and steady, lungs working clean. She put her hand on the cold iron and looked at the black slot Herrera had vanished through, and for the first time in the pursuit her body did something it almost never did: it hesitated. She knew this station. Not by name — the name was gone under the posters — but by the way her skin prickled looking at it. She'd stood outside a place like this the night Morris disappeared. A doorway that shouldn't have led anywhere. A man who'd run into it laughing, and a partner who'd followed and never reappeared on any camera, any record, any morgue manifest in the whole of Greater London. *Procedure,* said the cold professional voice in her head. *You call it in. You wait for backup. You do not pursue a suspect into an unsecured structure alone, at night, with no comms confirmation and no idea of the layout.* She pulled her phone from her jacket. The screen glowed, then guttered. NO SERVICE. She moved it left, right, raised it overhead. Nothing. The bars wouldn't even flicker, as if the device had simply forgotten what a signal was. That decided it, in a way. Procedure was a luxury that required a phone that worked and a world that behaved. She'd spent three years being told to leave Morris in the past, to accept the official nothing, and every time she'd come back to the same fact: the past hadn't left her. It tugged at her like a tide. And now a man who treated patients the textbooks didn't have names for had run into a hole in the ground that made her phone die, and she was supposed to stand at the fence and wait. Quinn climbed over. She drew her torch instead of her sidearm — the rules about discharging a weapon in a confined space were one set of rules she still intended to honor — and edged the corrugated sheet wider. The beam found a stairwell descending into a stink of mineral damp and something sweeter underneath, like incense burned a long time ago. Tiled walls, cracked, sweating. A handrail furred with rust. Far below, she heard footsteps, then a sound that made her stop again with her boot on the second step. Voices. Many of them. The low murmur of a crowd, a market hum — bartering, laughter, a string of language she didn't recognize and another she half did. It rose up the stairwell on a draft that had no business existing underground, warm and close and threaded with woodsmoke. There shouldn't be a crowd down a dead Tube line at midnight. She thought, unbidden, of a thing she'd overheard at the Raven's Nest two weeks ago, crouched in the cold beside a ventilation grate — a phrase that had meant nothing then and felt now like a key turning. *Show them the bone token or you don't get in.* Below, the footsteps had stopped. Herrera had reached the bottom. He'd be passing into whatever this was, into the murmuring warmth, away from her. Quinn tightened her grip on the torch. Somewhere down there were answers to a question she'd been asking for three years — and the kind of trouble that swallowed detectives whole and left their watches ticking on the wrists of the women they'd left behind. She started down the stairs.
created_at"2026-05-31T11:45:02.063Z" 5/31/2026, 11:45:02 AM
model"anthropic/claude-4.8-opus-20260528"
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tokens_completion1730
native_tokens_prompt1264
native_tokens_completion2225
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native_tokens_reasoning104
native_tokens_cached0
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num_media_completion0
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences2
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1118
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
55.28% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1118
totalAiIsms10
found
0
word"mechanical"
count1
1
word"weight"
count2
2
word"familiar"
count1
3
word"pulse"
count1
4
word"structure"
count1
5
word"flicker"
count1
6
word"footsteps"
count2
7
word"warmth"
count1
highlights
0"mechanical"
1"weight"
2"familiar"
3"pulse"
4"structure"
5"flicker"
6"footsteps"
7"warmth"
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
narrationSentences74
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences74
filterMatches
0"watch"
hedgeMatches
0"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences75
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans4
markdownWords50
totalWords1131
ratio0.044
matches
0"Administered treatments outside the scope of accepted practice."
1"Procedure,"
2"You call it in. You wait for backup. You do not pursue a suspect into an unsecured structure alone, at night, with no comms confirmation and no idea of the layout."
3"Show them the bone token or you don't get in."
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
totalMentions31
wordCount1128
uniqueNames15
maxNameDensity0.53
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Morris"
discoveredNames
Old1
Compton1
Street1
Harlow1
Quinn6
Herrera5
Raven2
Nest2
Met1
Morris5
Soho1
Camden1
Tube2
Greater1
London1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Raven"
4"Morris"
places
0"Old"
1"Compton"
2"Street"
3"Soho"
4"Camden"
5"Tube"
6"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount1
matches
0"seemed reluctant to map clearly"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1131
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences75
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean47.13
std36.03
cv0.765
sampleLengths
063
1123
222
312
46
5124
615
779
879
926
106
1153
1273
1340
1439
1597
163
1788
1849
1912
2048
2124
2245
235
81.56% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences74
matches
0"was bolted"
1"been closed"
2"was gone"
3"being told"
4"was supposed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs192
matches
0"was running"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount13
semicolonCount1
flaggedSentences10
totalSentences75
ratio0.133
matches
0"She'd memorized the shape of him from grainy CCTV stills — the curly dark hair, the medical bag he carried like it was bolted to his hand, the slight favoring of his left side."
1"Just once — a flash of olive skin and white panic under a streetlamp — and then he bolted."
2"He was fast — faster than a man hauling a medical bag had any right to be — but he was running scared, and scared men made mistakes."
3"The chase spilled toward Camden somehow; she lost track of the turns, only knew the canal smell had crept into the rain, brackish and green."
4"Herrera vaulted a low iron fence beside a Tube station that her memory insisted had been closed since before she'd joined the force — boarded up, decommissioned, the name plate scabbed over with decades of fly-posters."
5"Not by name — the name was gone under the posters — but by the way her skin prickled looking at it."
6"She drew her torch instead of her sidearm — the rules about discharging a weapon in a confined space were one set of rules she still intended to honor — and edged the corrugated sheet wider."
7"The low murmur of a crowd, a market hum — bartering, laughter, a string of language she didn't recognize and another she half did."
8"She thought, unbidden, of a thing she'd overheard at the Raven's Nest two weeks ago, crouched in the cold beside a ventilation grate — a phrase that had meant nothing then and felt now like a key turning."
9"Somewhere down there were answers to a question she'd been asking for three years — and the kind of trouble that swallowed detectives whole and left their watches ticking on the wrists of the women they'd left behind."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1116
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.027777777777777776
lyAdverbCount7
lyAdverbRatio0.0062724014336917565
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences75
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences75
mean15.08
std12.22
cv0.81
sampleLengths
033
130
227
334
42
52
625
714
83
916
103
1119
1210
132
143
153
1636
1733
186
1949
208
216
221
2322
2428
2522
267
2725
2818
2936
3013
3113
326
338
349
3536
364
3722
3811
397
4029
419
424
434
4423
457
465
472
488
491
69.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.48
totalSentences75
uniqueOpeners36
98.04% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences68
matches
0"Just once — a flash"
1"Somewhere down there were answers"
ratio0.029
55.29% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences68
matches
0"She'd memorized the shape of"
1"It meant something."
2"He glanced back."
3"He didn't stop."
4"They never did."
5"She went after him at"
6"She didn't think about Morris"
7"She'd trained herself out of"
8"He was fast — faster"
9"He took a corner too"
10"He pried at a sheet"
11"It gave with a screech,"
12"Her breath came hard and"
13"She put her hand on"
14"She knew this station."
15"She'd stood outside a place"
16"*You call it in."
17"You wait for backup."
18"You do not pursue a"
19"She pulled her phone from"
ratio0.412
48.24% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences68
matches
0"The rain came down like"
1"Detective Harlow Quinn ran through"
2"She'd memorized the shape of"
3"It meant something."
4"Everything about the Raven's Nest"
5"He glanced back."
6"Quinn shouted, though the word"
7"He didn't stop."
8"They never did."
9"She went after him at"
10"The leather watch on her"
11"Morris had bought her that"
12"Morris, who'd chased a man"
13"She didn't think about Morris"
14"She'd trained herself out of"
15"Herrera cut north, away from"
16"He was fast — faster"
17"He took a corner too"
18"Quinn closed the gap to"
19"The chase spilled toward Camden"
ratio0.824
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences68
matches(empty)
ratio0
48.87% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount5
matches
0"The rain came down like it meant to drown the city, hammering the awnings along Old Compton Street and turning the gutters into black rivers that swallowed ciga…"
1"Morris, who'd chased a man down an alley three years ago and never come back out, and whose case file still sat in her bottom drawer because no one in the Met c…"
2"It rose up the stairwell on a draft that had no business existing underground, warm and close and threaded with woodsmoke."
3"She thought, unbidden, of a thing she'd overheard at the Raven's Nest two weeks ago, crouched in the cold beside a ventilation grate — a phrase that had meant n…"
4"Somewhere down there were answers to a question she'd been asking for three years — and the kind of trouble that swallowed detectives whole and left their watch…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount1
matches
0"Quinn shouted, though the word vanished into the downpour"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Quinn shouted (shout)"
dialogueSentences2
tagDensity0.5
leniency1
rawRatio1
effectiveRatio1
78.5536%