Run: 2026-04-25-01KQ2G4M67BZNW5N6K5A66ZNP8

Run Details

Duration:
2m 33s
Cost:
$0.013125
Provider:
Together

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="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> 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.

Model response

AI
Detective Harlow Quinn ducked under the police tape and stepped into the abandoned Tube station, her worn leather brogues crunching on broken glass and decades of settled dust. The air hit her first—damp and mineral, threaded with something sharper, something that caught at the back of her throat like burnt copper wire. She’d worked crime scenes in basements, in sewers, in a meat-packing plant once during a July heatwave, but this was different. This\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b she couldn’t name. The station had been closed since the 1950s, one of those deep-level platforms the city had simply stopped using and forgotten about. The only way in was through a maintenance hatch in a Camden back alley, the kind of access point only someone who knew what they were looking for would find. Quinn had needed a torch and a crowbar to get through the rusted lock. Someone else had clearly managed it before her—the lock had been cut clean, the edges of the metal gleaming bright against the corrosion. She moved down the staircase, one hand brushing the curved tile wall for balance. The tiles were the old sort, cream with a burgundy border, cracked and veined with black mold. Her torch beam swept across them in a controlled arc, left to right, then back again. Old habit. Morris had teased her about it once, called it her “sweep and clear” like she was still clearing rooms in Kandahar. She’d told him it was just thoroughness. He’d said it was1960swas because she didn’t trust anything to stay where she’d left it. Morris had been dead for three years now. Quinn still caught herself turning to make a comment to him at scenes like this. The platform opened up at the bottom of the stairs, vast and cathedral-dark. The ceiling arched high above, lost in shadow, and the tracks had long since been lifted, leaving parallel trenches gouged into the floor like dry riverbeds. Emergency lighting had been set up by the first responders—portable LED arrays that threw harsh white light in competing pools, creating islands of visibility in the underground dark. SOCOs in white Tyvek suits moved carefully through one of those islands, photographing and bagging evidence. Quinn clocked them, counted four, noted the photographer was new, then turned her attention to the body. The victim lay in the center of the platform, approximately fifteen feet from the old ticket booth. Male, late thirties to early forties, Caucasian, medium build. He was on his back with his arms outflung, legs straight, as if he’d been laid out carefully rather than having fallen. His clothes were800were expensive—Quinn recognized the cut of the suit jacket even before she got close, the particular drape of wool that whispered Savile Row. His shoes were polished to a mirror shine, no scuffs, which meant he hadn’t walked far in them. Or he’d been carried. And there was no blood. Quinn stopped at the perimeter the SOCOs had established, a ring of yellow evidence markers, and stood very still. She let her gaze travel from the victim’s shoes to his face, cataloguing. No visible wounds. No ligature marks on the neck or wrists that she could see from this distance. No signs of a struggle—his suit was rumpled but not torn, his tie still knotted precisely at his throat. His face was calm, almost serene, eyes closed, lips slightly parted. She’d seen peaceful dead before, overdose victims mostly, but this wasn’t that. Something about the stillness was wrong. Too complete. Too arranged. “Detective Quinn.” She turned. Dr. Patel, the forensic pathologist, was crouched near the body, gloved fingers probing gently at the victim’s jawline. Quinn hadn’t noticed her at first—she’d been obscured by the bulk of a SOCO’s back. Patel was a small woman in her fifties, grey-streaked black hair pulled back in a severe bun, face perpetually set in an expression of mild disapproval. Quinn liked her immensely. “Dr. Patel. What’ve we got?” “That’s the question, isn’t it.” Patel straightened, peeling off her gloves with practiced efficiency. “I’ve checked him over preliminarily. No external trauma. No petechiae, no cyanosis, no signs of poisoning that I can see without a tox screen. Lividity is fixed, which puts time of death somewhere between six and eight hours ago. But here’s what I can’t make sense of.” She gestured at the victim’s chest. “He’s cold. And I don’t mean deceased-cold. I mean the surface temperature of his skin is significantly lower than ambient. I’d wager he was20he was exposed to extreme cold before death, possibly even frozen. But there’s no frostnip, no ice crystallization in the tissues. It’s not consistent with any exposure death I’ve ever examined.” Quinn absorbed that. The air in the station was cool but not cold—maybe fourteen, fifteen degrees Celsius. No reason forbodiesfor a body to present with hypothermic symptoms. “Any ID?” “Nothing in his pockets. Wallet’s gone, phone’s gone. But his suit’s bespoke—there’ll be a tailor’s mark. We’ll trace it.” Quinn nodded and stepped back, letting her gaze drift to the edges of the platform. The station walls were covered in graffiti, old and new layered over each other in a palimpsest of urban art. But there, near the base of the ticket booth, she caught a gleam of something that wasn’t spray paint. She walked over and crouched down. It was a small brass compass, the casing patinaed with verdigris. The face was etched with symbols she didn’t recognize—intricate, overlapping geometries that seemed to shift slightly under her gaze, an optical illusion born of low light and tired eyes. The needle didn’t point north. It pointed southeast, toward a blank stretch of wall, vibrating faintly as if catching some unseen current. “I’ve seen one of these before,” a voice said behind her. Quinn didn’t startle. Eighteen years on the force had trained the reflex out of her. She turned her head slightly, still crouched, and took in the woman standing a few feet away. Curly red hair, round glasses, a worn leather satchel slung across her body. Freckles dusted across a pale, earnest face. She was tucking a strand of hair behind her left ear, and Quinn’s mind automatically filed the gesture under *nervous habit*. “And you are?” “Eva Kowalski. I’m with the British Museum.” She adjusted the strap of her satchel, as if05if aware that she looked more like a graduate student than a consultant. “Research assistant in the restricted archives. Ancient History. I consult with the Met occasionally on… unusual artifacts.” Quinn stood, keeping the compass in her gloved palm. “And what makes this unusual, Ms. Kowalski?” Eva stepped closer, her green eyes fixed on the compass with a kind of hungry fascination that Quinn recognized—the look of an expert seeing something rare. “It’s a Veil Compass. They’re20they’re crafted by a very specific artisan tradition, supposedly extinct. The sigils on the face are protective. The needle doesn’t point to magnetic north—it points to ruptures. Portals. Places where one thing bleeds into another.” Quinn’s expression didn’t change. She’d heard a lot of strange explanations in her career, most of them from people trying to sound clever. But something about Kowalski’s matter-of-fact tone05tone was unsettling. She wasn’t offering a theory. She was describing a known quantity. “Portals,” Quinn repeated, flat. “I know how it sounds.” Eva tucked her hair again, a quick, unconscious motion. “But that compass isn’t a replica. It’s authentic. And whoever owned it05it was using it. The needle’s05needle’s active.” Quinn looked down at the trembling needle, then toward the blank stretch of wall it indicated. The concrete there looked12looked ordinary—poured, smooth, painted over with grey industrial paint that had bubbled and peeled with age. Ordinary. But12But as she watched, the air near the wall seemed to shimmer, faintly, like heat rising off sunbaked asphalt in August. It was16was probably an illusion born of the LED array flickering. Probably. “Let’s say I entertain this,” Quinn said16said, pocketing the compass carefully in an evidence bag. “What would a Veil Compass be doing next to a dead man in a sealed Tube station?” Eva worried her lower lip between her teeth, gaze still on the shimmering air at the edge of the platform. “I think the right question is what the dead man15man was doing here in the first place. These stations… some of them aren’t empty. The supernatural community uses the deep lines. Markets, meeting points. There’s one that moves location every full moon. The Veil Market.” Quinn had heard rumors. Every detective heard rumors. She’d dismissed them as occupational folklore, ghost stories swapped over lukewarm coffee in the03the station canteen. Now she wasn’t sure. “You think he was a buyer,” she said. “Or a seller. Or15Or someone who knew something he shouldn’t.” Eva finally met Quinn’s eyes. “Detective, the lividity pattern on the victim—it’s fixed on his back, which means he died where he lies. But look at his shoes. No scuffs. No dust. He didn’t walk here. He didn’t crawl. He was placed. And the positioning of the arms, the legs… it’s ritualized. I’ve seen similar in Sumerian funerary texts. The body as an offering.” Quinn13Quinn looked back at the victim, at the precise arrangement of his limbs, the unnatural serenity of his face. Patel’s impossible cold temperatures. The compass pointing at a12a wall that shouldn’t shimmer. The evidence, taken separately, is a collection of anomalies. Taken together… She pulled out her notebook and began writing—not the standard report, but the connections she was making, the threads that pulled against each other. The tailor’s mark they’d trace. The tox screen Patel would run. The compass, which she’d have Kowalski authenticate afterhours, off-book. And the12the way the12the air near the wall seemed to pulse now, subtly, like a heartbeat felt through thick glass. “Ms. Kowalski,” she said, not looking up from her notes, “you’ve just been seconded to this investigation. I’ll clear it with your museum. I need15need someone who can read those sigils and make sense of whatever this market is. But you’ll report directly to me. No one else. Understood?” Eva blinked, then nodded. “Understood.” Quinn snapped her notebook shut and glanced once more toward the12the wall. The shimmer was gone now, or maybe it had12had never been there. She’d learned, in three years without Morris, to trust her instincts even12even when they pointed at things that made no sense. Especially then. Something was wrong here. The evidence didn’t add up. And the12the only way to make it add up was to accept that she was missing15missing a piece of the equation—a piece that looked less like standard procedure and more like the stories she’d spent her career dismissing. She’d find it. She always did. “Right,” she said, and her voice was crisp, decisive, the voice of a woman who’d cleared rooms in Kandahar and crime scenes in Camden with equal precision. “Let’s get to work.”
created_at"2026-04-25T14:19:16.556Z" 4/25/2026, 2:19:16 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2572
moderation_latency(null)
generation_time152889
tokens_prompt923
tokens_completion2930
native_tokens_prompt857
native_tokens_completion2574
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0131253
router(null)
provider_responses
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endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
is_byokfalse
latency349
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status429
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is_byokfalse
latency2572
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"Together"
status200
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http_referer(null)
request_id"req-1777126756-y64mCPZSithMDleFEZjP"
session_id(null)
api_type"completions"
id"gen-1777126756-xMOjadJ4iZS0K1VO1WoC"
upstream_id"ogZc9go-6z2FuN-9f1dfb56b66326d3"
total_cost0.0131253
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences27
tagDensity0.407
leniency0.815
rawRatio0
effectiveRatio0
72.53% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1820
totalAiIsmAdverbs10
found
0
adverb"carefully"
count3
1
adverb"very"
count2
2
adverb"precisely"
count1
3
adverb"slightly"
count3
4
adverb"gently"
count1
highlights
0"carefully"
1"very"
2"precisely"
3"slightly"
4"gently"
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)
75.27% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1820
totalAiIsms9
found
0
word"gleaming"
count1
1
word"sense of"
count2
2
word"etched"
count1
3
word"intricate"
count1
4
word"magnetic"
count1
5
word"standard"
count2
6
word"pulse"
count1
highlights
0"gleaming"
1"sense of"
2"etched"
3"intricate"
4"magnetic"
5"standard"
6"pulse"
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
narrationSentences111
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences111
filterMatches(empty)
hedgeMatches
0"seemed to"
97.97% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences126
gibberishSentences1
adjustedGibberishSentences1
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen60
ratio0.008
matches
0"This\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b she couldn’t name."
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords1805
ratio0.001
matches
0"nervous habit"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions51
wordCount1376
uniqueNames16
maxNameDensity1.67
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn23
Tube1
July1
Camden2
Kandahar2
Tyvek1
Caucasian1
Savile1
Row1
Celsius1
Kowalski2
Eva5
August1
Patel5
Morris3
persons
0"Harlow"
1"Quinn"
2"Tyvek"
3"Kowalski"
4"Eva"
5"Patel"
6"Morris"
places
0"Camden"
1"Kandahar"
2"August"
globalScore0.664
windowScore0.167
85.90% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences78
glossingSentenceCount2
matches
0"geometries that seemed to shift slightly under her gaze, an optical illusion born of low light and tired eyes"
1"as if catching some unseen current"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.554
wordCount1805
matches
0"not the standard report, but the connections she was making, the threads"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences126
matches
0"accept that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean45.13
std32.84
cv0.728
sampleLengths
077
189
292
323
4100
595
65
7102
82
965
105
11121
1229
1319
1460
1562
1611
1773
183
1945
2016
2165
2242
234
2432
2568
261
2732
2865
2928
308
3174
3243
3364
3449
355
3647
3747
386
3931
70.49% Passive voice overuse
Target: ≤2% passive sentences
passiveCount11
totalSentences111
matches
0"been closed"
1"been lifted"
2"been laid"
3"were polished"
4"been carried"
5"was rumpled"
6"was crouched"
7"been obscured"
8"were covered"
9"was etched"
10"was gone"
3.09% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount7
totalVerbs237
matches
0"were looking"
1"was still clearing"
2"was tucking"
3"wasn’t offering"
4"was describing"
5"was making"
6"was missing15missing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences12
totalSentences126
ratio0.095
matches
0"The air hit her first—damp and mineral, threaded with something sharper, something that caught at the back of her throat like burnt copper wire."
1"Someone else had clearly managed it before her—the lock had been cut clean, the edges of the metal gleaming bright against the corrosion."
2"Emergency lighting had been set up by the first responders—portable LED arrays that threw harsh white light in competing pools, creating islands of visibility in the underground dark."
3"His clothes were800were expensive—Quinn recognized the cut of the suit jacket even before she got close, the particular drape of wool that whispered Savile Row."
4"No signs of a struggle—his suit was rumpled but not torn, his tie still knotted precisely at his throat."
5"Quinn hadn’t noticed her at first—she’d been obscured by the bulk of a SOCO’s back."
6"The air in the station was cool but not cold—maybe fourteen, fifteen degrees Celsius."
7"The face was etched with symbols she didn’t recognize—intricate, overlapping geometries that seemed to shift slightly under her gaze, an optical illusion born of low light and tired eyes."
8"Eva stepped closer, her green eyes fixed on the compass with a kind of hungry fascination that Quinn recognized—the look of an expert seeing something rare."
9"The concrete there looked12looked ordinary—poured, smooth, painted over with grey industrial paint that had bubbled and peeled with age."
10"She pulled out her notebook and began writing—not the standard report, but the connections she was making, the threads that pulled against each other."
11"And the12the only way to make it add up was to accept that she was missing15missing a piece of the equation—a piece that looked less like standard procedure and more like the stories she’d spent her career dismissing."
97.34% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1395
adjectiveStacks0
stackExamples(empty)
adverbCount59
adverbRatio0.04229390681003584
lyAdverbCount29
lyAdverbRatio0.02078853046594982
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences126
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences126
mean14.33
std11.38
cv0.794
sampleLengths
028
124
221
34
422
530
614
723
814
917
1016
112
1221
137
1415
158
1615
1713
1826
1928
2016
2117
2217
239
2422
2525
2618
274
285
2919
3013
313
3215
3319
3411
3512
366
372
382
392
402
411
4217
4315
4426
454
465
4714
4853
4954
52.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.373015873015873
totalSentences126
uniqueOpeners47
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences101
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences101
matches
0"She’d worked crime scenes in"
1"She moved down the staircase,"
2"Her torch beam swept across"
3"She’d told him it was"
4"He’d said it was1960swas because"
5"He was on his back"
6"His clothes were800were expensive—Quinn recognized"
7"His shoes were polished to"
8"She let her gaze travel"
9"His face was calm, almost"
10"She’d seen peaceful dead before,"
11"She gestured at the victim’s"
12"She walked over and crouched"
13"It was a small brass"
14"It pointed southeast, toward a"
15"She turned her head slightly,"
16"She was tucking a strand"
17"She adjusted the strap of"
18"She’d heard a lot of"
19"She wasn’t offering a theory."
ratio0.287
29.31% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount87
totalSentences101
matches
0"Detective Harlow Quinn ducked under"
1"The air hit her first—damp"
2"She’d worked crime scenes in"
3"This\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b\\b she couldn’t name."
4"The station had been closed"
5"The only way in was"
6"Quinn had needed a torch"
7"Someone else had clearly managed"
8"She moved down the staircase,"
9"The tiles were the old"
10"Her torch beam swept across"
11"Morris had teased her about"
12"She’d told him it was"
13"He’d said it was1960swas because"
14"Morris had been dead for"
15"Quinn still caught herself turning"
16"The platform opened up at"
17"The ceiling arched high above,"
18"Emergency lighting had been set"
19"SOCOs in white Tyvek suits"
ratio0.861
49.50% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences101
matches
0"Now she wasn’t sure."
ratio0.01
33.90% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences59
technicalSentenceCount9
matches
0"The air hit her first—damp and mineral, threaded with something sharper, something that caught at the back of her throat like burnt copper wire."
1"Emergency lighting had been set up by the first responders—portable LED arrays that threw harsh white light in competing pools, creating islands of visibility i…"
2"His clothes were800were expensive—Quinn recognized the cut of the suit jacket even before she got close, the particular drape of wool that whispered Savile Row."
3"But there, near the base of the ticket booth, she caught a gleam of something that wasn’t spray paint."
4"The face was etched with symbols she didn’t recognize—intricate, overlapping geometries that seemed to shift slightly under her gaze, an optical illusion born o…"
5"It pointed southeast, toward a blank stretch of wall, vibrating faintly as if catching some unseen current."
6"The concrete there looked12looked ordinary—poured, smooth, painted over with grey industrial paint that had bubbled and peeled with age."
7"She pulled out her notebook and began writing—not the standard report, but the connections she was making, the threads that pulled against each other."
8"And the12the only way to make it add up was to accept that she was missing15missing a piece of the equation—a piece that looked less like standard procedure and…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount3
matches
0"Quinn repeated, flat"
1"she said, not looking up from her notes,"
2"she said, and her voice was crisp, decisive, the voice of a woman who’d cleared rooms in Kandahar and crime scenes in Camden with equal precision"
75.93% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"Morris had (have)"
1"Quinn repeated (repeat)"
dialogueSentences27
tagDensity0.222
leniency0.444
rawRatio0.333
effectiveRatio0.148
71.3515%