Run: 2026-04-25-01KQ2FCSMYEE7RJF72S6RGGWQY

Run Details

Duration:
1m 10s
Cost:
$0.002185
Provider:
DeepSeek

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 sheets that turned the sodium streetlights into smeared gold across the windscreen. Detective Harlow Quinn killed the engine of her unmarked Vauxhall and sat for a moment, listening to the rhythmic thump of the wipers and the distant rumble of a night bus on Charing Cross Road. Her fingers found the worn leather band of her watch, thumb tracing the crack along its face—a nervous habit she’d picked up since Morris died, or since she’d been told he’d died, the file stamped closed with explanations that never quite fit together. The man she was tailing had emerged from The Raven’s Nest ten minutes ago, his collar turned up against the weather, moving with the kind of hurried purpose that made her palms itch. She’d been watching the place for six weeks now, ever since a string of impossible coroner’s reports had crossed her desk. Bodies with wounds that suggested claws but DNA that came back human. Tox screens that showed compounds no lab could identify. And threading through all of it, a loose constellation of people who moved through London like they knew something the rest of the city didn’t. The man—mid-thirties, dark coat, and a limp she’d noted on her surveillance log three times now—glanced over his shoulder. Harlow slid lower in her seat, but it didn’t matter. He broke into a run. She was out of the car before her brain caught up with her legs, boots splashing through puddles that soaked her trouser cuffs instantly. The rain hit her face like cold needles. “Police! Stop!” The words were automatic, muscle memory from eighteen years of chasing people who didn’t want to be chased. He didn’t stop. He cut left into an alley, and she followed, her lungs burning with the sudden exertion. The alley was narrow, brick walls glistening wet and close enough that she could have touched both sides with outstretched arms. Bins lined one wall, and she dodged them, her shoulder skimming cold metal. The man was fast despite his limp, and she watched him vault a chain-link fence at the alley’s end with a practiced efficiency that told her he’d done this before. Harlow scaled the fence less gracefully, the chain links biting into her palms, and dropped onto the other side. They were in a service yard now, surrounded by the blank faces of commercial buildings. The man had slowed, his limp more pronounced. She was gaining. That’s when she saw the staircase. It was recessed into the ground, concrete steps leading down to a door she wouldn’t have noticed if he hadn’t been heading straight for it. A sign above it, rusted and half-obscured by a dead ivy vine, read CAMDEN TOWN STATION – EMERGENCY ACCESS. But Camden Town station was half a mile east, and this entrance had been sealed since the 1950s. She’d read about it in some procedural memo years ago, an abandoned spur of the Northern Line that the city had bricked off and forgotten. The man pulled the door open—it wasn’t locked, it should have been locked—and disappeared into the darkness below. Harlow stopped at the top of the stairs. The rain dripped from the brim of her collar, ran cold tracks down her neck. The staircase yawned beneath her, exhaling air that smelled of damp concrete and something else. Something metallic. Something old. She pulled out her torch, a compact LED that cut a bright white beam through the darkness. The stairs descended farther than they should have, bending out of sight. She could hear the man’s footsteps echoing up from below, uneven with his limp. She should call for backup. She should wait for a tactical unit, cordon off the area, do this by the book. The book was what separated her from the chaos she spent her career trying to contain. The book was what kept officers alive. But the book hadn’t explained what happened to Morris. The book hadn’t explained the claw marks or the compounds or the quiet, knowing looks exchanged between the patrons of The Raven’s Nest when they thought no one was watching. Harlow Quinn took her mobile from her pocket and fired off a quick text to her sergeant: *Camden, old Tube entrance off Buck Street. Following suspect. Will update.* She slipped the phone back into her coat, checked that her extendable baton was still on her belt, and started down the stairs. Twenty steps in, the staircase changed. The modern concrete gave way to older brick, the edges of the steps worn smooth by decades of footsteps. The air grew cooler, and the metallic smell intensified. Her torch beam caught patches of phosphorescent moss growing in the mortar between the bricks, glowing a faint green that reminded her of the neon sign above The Raven’s Nest. Coincidence? She’d stopped believing in coincidences around the same time she’d stopped believing Morris’s death was an accident. The stairs bottomed out into a tunnel. Not the wide, tiled corridors of the Tube she knew—this was older, rougher, the walls lined with arched alcoves that might once have held gas lamps. The tracks had been removed, but the impression of them remained in the gravel floor, faint parallel depressions that guided her deeper underground. Water dripped somewhere in the darkness. The footsteps ahead had slowed. Harlow switched off her torch and stood still, letting her eyes adjust to the phosphorescent glow. It was enough to navigate by, just barely. The man was maybe thirty meters ahead, a dark shape moving among darker shadows. She followed, her tread careful on the loose gravel, one hand resting on her baton. The tunnel opened into a cavern. It wasn’t part of the original station—the ceiling arched too high, the space too vast to be any kind of Tube infrastructure. Stalls had been erected in rough rows, cobbled together from salvaged timber and corrugated metal. Lanterns hung from the ceiling on chains, burning with flames that flickered in unnatural colors—deep blue, sickly violet. And there were people. Dozens of them, moving among the stalls, their voices a low murmur that echoed strangely in the cavern’s acoustics. The Veil Market. She’d heard the name whispered in interrogation rooms, dismissed as drug-fueled fantasy, a ghost story for the criminal underworld. But here it was, real and breathing and utterly, impossibly wrong. Her suspect was weaving through the crowd now, his limp growing more pronounced. He glanced back once, and she saw his face clearly for the first time in the blue lantern light—a young man, dark curly hair plastered to his forehead, warm brown eyes wide with fear. A Saint Christopher medallion glinted at his throat. Harlow stepped into the market. The smell hit her first—incense and blood and something that made her sinuses tingle. The stalls sold things she couldn’t name. Jars filled with murky liquid and floating shapes. Cages that held creatures with too many eyes. Bundles of dried herbs that seemed to writhe when she looked at them directly. The vendors watched her pass with expressions ranging from curiosity to hostility. She was the only one here in a Metropolitan Police badge. A hand caught her arm. She spun, baton half-extended, and found herself facing a woman with silver teeth and pupils that didn’t contract in the light. “You’ll need a token,” the woman said. Her voice was like gravel in oil. “No token, no trade. Market rules.” “I’m not here to trade,” Harlow said, pulling her arm free. “I’m following someone.” The woman laughed, a wet sound. “Everyone’s following someone down here.” Harlow pushed past her. The man—the medallion man—had stopped at a stall near the cavern’s far wall. She could see him speaking urgently with the vendor, a hunched figure wrapped in layers of what looked like patchwork leather. The man’s hands were shaking. The vendor was shaking its head. She was close enough now to hear fragments of conversation. “—told you not to come back here, Tomás.” “I didn’t have a choice. They found me. One of yours, at the bar, I think—” “Not mine. No one’s. The Nest is neutral ground, you know that. You should have stayed there.” Harlow’s hand found her baton again. Tomás. The name stirred something in her memory—a file, a witness statement from three years ago, a paramedic who’d been at the scene when Morris died. She’d tried to interview him, but he’d vanished before she could. “Tomás Herrera,” she said, loud enough to carry. The man spun, and the fear in his eyes was so raw, so human, that it stopped her in her tracks. He was younger than she’d thought, barely thirty, and the scar on his forearm was the same one from the coroner’s photos she’d studied—a knife wound treated at St. Mary’s four years ago, the case that had first put his name on her radar. “I’m not going back,” he said. His accent was faintly Spanish, the vowels soft. “You can’t make me.” “I’m not here to arrest you,” Harlow said, and was surprised to find it was true. “I’m here about Morris. About my partner.” Something flickered in Tomás’s expression. Recognition. And something else. Guilt. “You’re Quinn,” he said. “I remember you. You were in the hospital waiting room when they brought him in. You were wearing the same watch.” Her thumb found the crack in the leather without her conscious direction. “You treated him.” “I tried to.” Tomás swallowed hard. “But what happened to him—what happened to him wasn’t something a paramedic could fix. It wasn’t even something I could fix, and I can fix things that aren’t supposed to be fixable.” He gestured at the market around them, at the impossible stalls and their impossible wares. “That’s why I ended up here. Because the NHS doesn’t train you to treat wounds made by things that don’t exist.” The vendor was backing away, melting into the shadows. Other market-goers were giving them a wide berth. Harlow could feel the weight of their attention, dozens of eyes watching from the stalls, waiting to see what the policewoman would do. She had a choice. She was in unfamiliar territory, outnumbered, without backup, surrounded by evidence of crimes she couldn’t even define. The smart play was to grab Tomás Herrera, drag him back up those stairs, and interrogate him in a properly lit room with a tape recorder running. But her partner was dead. And the truth about his death was down here, in the dark, with the phosphorescent moss and the burning lanterns and the things in the cages. “Show me,” Harlow Quinn said. “Show me what you know.” Tomás looked at her for a long moment, his Saint Christopher medallion catching the blue lantern light. Then he nodded, once, and turned toward the deeper darkness at the cavern’s far end, where the market’s stalls gave way to something older and stranger still. Harlow followed him, her hand still resting on her baton, her watch still ticking against her wrist. The rain was a world away now, and the rules she’d lived by for eighteen years felt like they belonged to someone else.
created_at"2026-04-25T14:06:15.714Z" 4/25/2026, 2:06:15 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1195
moderation_latency(null)
generation_time69654
tokens_prompt914
tokens_completion2887
native_tokens_prompt827
native_tokens_completion2450
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached768
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"
usage0.002185005
router(null)
provider_responses
0
endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
id"a5c8abec-0385-46e6-9e44-de2057086095"
is_byokfalse
latency294
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777125975-Z4mXiNILJhI8aJpwuZ6d"
session_id(null)
api_type"completions"
id"gen-1777125975-gBNnP6pVgRxm1iVp1AOv"
upstream_id"a5c8abec-0385-46e6-9e44-de2057086095"
total_cost0.002185005
cache_discount0.00030624
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount1
adverbTags
0"Tomás swallowed hard [hard]"
dialogueSentences22
tagDensity0.409
leniency0.818
rawRatio0.111
effectiveRatio0.091
97.33% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1872
totalAiIsmAdverbs1
found
0
adverb"utterly"
count1
highlights
0"utterly"
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)
65.28% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1872
totalAiIsms13
found
0
word"rhythmic"
count1
1
word"tracing"
count1
2
word"glistening"
count1
3
word"footsteps"
count3
4
word"echoing"
count1
5
word"navigate"
count1
6
word"flickered"
count2
7
word"echoed"
count1
8
word"could feel"
count1
9
word"weight"
count1
highlights
0"rhythmic"
1"tracing"
2"glistening"
3"footsteps"
4"echoing"
5"navigate"
6"flickered"
7"echoed"
8"could feel"
9"weight"
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
emotionTells2
narrationSentences125
matches
0"e with fear"
1"was surprised"
85.71% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount3
narrationSentences125
filterMatches
0"watch"
hedgeMatches
0"happened to"
1"seemed to"
2"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences137
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords11
totalWords1857
ratio0.006
matches
0"Camden, old Tube entrance off Buck Street. Following suspect. Will update."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions58
wordCount1679
uniqueNames27
maxNameDensity0.83
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Harlow14
Quinn3
Vauxhall1
Charing1
Cross1
Road1
Morris4
Raven3
Nest3
London1
Camden2
Town1
Northern1
Line1
Tube3
Buck1
Street1
Veil1
Market1
Saint2
Christopher2
Metropolitan1
Police1
St1
Spanish1
Tomás5
Herrera1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Raven"
4"Buck"
5"Street"
6"Saint"
7"Christopher"
8"Tomás"
9"Herrera"
places
0"Vauxhall"
1"Charing"
2"Cross"
3"Road"
4"London"
5"Camden"
6"Town"
7"Market"
8"Metropolitan"
9"St"
globalScore1
windowScore1
73.47% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences98
glossingSentenceCount3
matches
0"herbs that seemed to writhe when she looked at them directly"
1"looked like patchwork leather"
2"felt like they belonged to someone else"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1857
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences137
matches
0"checked that her"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs47
mean39.51
std26.18
cv0.663
sampleLengths
095
1100
234
352
483
545
66
787
818
942
1043
1144
1239
1351
1482
1567
1653
176
1878
1933
2055
215
2274
2326
2420
2514
2611
2749
2810
298
3016
3117
3243
338
3465
3518
3623
3710
3825
3915
4074
4140
4248
4331
4410
4544
4640
85.61% Passive voice overuse
Target: ≤2% passive sentences
passiveCount7
totalSentences125
matches
0"been told"
1"was recessed"
2"been sealed"
3"been locked"
4"been removed"
5"been erected"
6"was surprised"
11.54% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount8
totalVerbs283
matches
0"was tailing"
1"was gaining"
2"was watching"
3"was weaving"
4"were shaking"
5"was shaking"
6"was backing"
7"were giving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount16
semicolonCount0
flaggedSentences12
totalSentences137
ratio0.088
matches
0"Her fingers found the worn leather band of her watch, thumb tracing the crack along its face—a nervous habit she’d picked up since Morris died, or since she’d been told he’d died, the file stamped closed with explanations that never quite fit together."
1"The man—mid-thirties, dark coat, and a limp she’d noted on her surveillance log three times now—glanced over his shoulder."
2"A sign above it, rusted and half-obscured by a dead ivy vine, read CAMDEN TOWN STATION – EMERGENCY ACCESS."
3"The man pulled the door open—it wasn’t locked, it should have been locked—and disappeared into the darkness below."
4"Not the wide, tiled corridors of the Tube she knew—this was older, rougher, the walls lined with arched alcoves that might once have held gas lamps."
5"It wasn’t part of the original station—the ceiling arched too high, the space too vast to be any kind of Tube infrastructure."
6"Lanterns hung from the ceiling on chains, burning with flames that flickered in unnatural colors—deep blue, sickly violet."
7"He glanced back once, and she saw his face clearly for the first time in the blue lantern light—a young man, dark curly hair plastered to his forehead, warm brown eyes wide with fear."
8"The smell hit her first—incense and blood and something that made her sinuses tingle."
9"The man—the medallion man—had stopped at a stall near the cavern’s far wall."
10"The name stirred something in her memory—a file, a witness statement from three years ago, a paramedic who’d been at the scene when Morris died."
11"He was younger than she’d thought, barely thirty, and the scar on his forearm was the same one from the coroner’s photos she’d studied—a knife wound treated at St."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1698
adjectiveStacks0
stackExamples(empty)
adverbCount45
adverbRatio0.026501766784452298
lyAdverbCount15
lyAdverbRatio0.0088339222614841
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences137
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences137
mean13.55
std9.06
cv0.668
sampleLengths
017
135
243
333
421
512
69
725
819
910
105
1124
128
1320
143
1516
1621
1713
1830
1919
2015
218
223
236
2425
2519
2618
2725
2818
298
3015
3115
322
332
3417
3512
3614
375
3816
3916
407
419
4230
4324
442
4525
466
4719
489
4930
41.61% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.30656934306569344
totalSentences137
uniqueOpeners42
28.74% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences116
matches
0"Then he nodded, once, and"
ratio0.009
99.31% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences116
matches
0"Her fingers found the worn"
1"She’d been watching the place"
2"He broke into a run."
3"She was out of the"
4"He didn’t stop."
5"He cut left into an"
6"They were in a service"
7"She was gaining."
8"It was recessed into the"
9"She’d read about it in"
10"She pulled out her torch,"
11"She could hear the man’s"
12"She should call for backup."
13"She should wait for a"
14"Her torch beam caught patches"
15"She’d stopped believing in coincidences"
16"It was enough to navigate"
17"She followed, her tread careful"
18"It wasn’t part of the"
19"She’d heard the name whispered"
ratio0.302
24.66% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount101
totalSentences116
matches
0"The rain came down in"
1"Detective Harlow Quinn killed the"
2"Her fingers found the worn"
3"The man she was tailing"
4"She’d been watching the place"
5"Bodies with wounds that suggested"
6"Tox screens that showed compounds"
7"The man—mid—thirties, dark coat, and"
8"Harlow slid lower in her"
9"He broke into a run."
10"She was out of the"
11"The rain hit her face"
12"The words were automatic, muscle"
13"He didn’t stop."
14"He cut left into an"
15"The alley was narrow, brick"
16"Bins lined one wall, and"
17"The man was fast despite"
18"Harlow scaled the fence less"
19"They were in a service"
ratio0.871
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences116
matches(empty)
ratio0
28.99% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences69
technicalSentenceCount11
matches
0"And threading through all of it, a loose constellation of people who moved through London like they knew something the rest of the city didn’t."
1"She was out of the car before her brain caught up with her legs, boots splashing through puddles that soaked her trouser cuffs instantly."
2"The man was fast despite his limp, and she watched him vault a chain-link fence at the alley’s end with a practiced efficiency that told her he’d done this befo…"
3"The staircase yawned beneath her, exhaling air that smelled of damp concrete and something else."
4"Not the wide, tiled corridors of the Tube she knew—this was older, rougher, the walls lined with arched alcoves that might once have held gas lamps."
5"The tracks had been removed, but the impression of them remained in the gravel floor, faint parallel depressions that guided her deeper underground."
6"Lanterns hung from the ceiling on chains, burning with flames that flickered in unnatural colors—deep blue, sickly violet."
7"Dozens of them, moving among the stalls, their voices a low murmur that echoed strangely in the cavern’s acoustics."
8"The smell hit her first—incense and blood and something that made her sinuses tingle."
9"She spun, baton half-extended, and found herself facing a woman with silver teeth and pupils that didn’t contract in the light."
10"Mary’s four years ago, the case that had first put his name on her radar."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences22
tagDensity0.318
leniency0.636
rawRatio0
effectiveRatio0
78.0747%