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Run: 2026-02-25-01KJBKG4GCXX3453FYFKQ5ZZZK
Run Details
Model:
Qwen 3.5 35B
Test:
Bad Writing Habits
Scenario:
Mystery: examining a crime scene
Duration:
55.8s
Cost:
$0.018864
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
90.74%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
38.27%
AI-ism word frequency
(details)
100.00%
Cliché density
(details)
100.00%
Emotion telling (show vs. tell)
(details)
100.00%
Filter word density
(details)
100.00%
Gibberish response detection
(details)
100.00%
Markdown formatting overuse
(details)
100.00%
Missing dialogue indicators (quotation marks)
(details)
50.00%
Name drop frequency
(details)
100.00%
Narrator intent-glossing
(details)
100.00%
"Not X but Y" pattern overuse
(details)
100.00%
Overuse of "that" (subordinate clause padding)
(details)
100.00%
Paragraph length variance
(details)
94.94%
Passive voice overuse
(details)
51.19%
Past progressive (was/were + -ing) overuse
(details)
100.00%
Em-dash & semicolon overuse
(details)
94.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
39.03%
Sentence opener variety
(details)
27.32%
Adverb-first sentence starts
(details)
49.51%
Pronoun-first sentence starts
(details)
9.18%
Subject-first sentence starts
(details)
0.00%
Subordinate conjunction sentence starts
(details)
38.69%
Technical jargon density
(details)
0.00%
Useless dialogue additions
(details)
30.00%
Dialogue tag variety (said vs. fancy)
(details)
73.7627%
Overall
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
Messages
Meta
AI
The air in the abandoned
Tube station was stale, recycled through a ventilation system that hadn't breathed in twenty years.
Dust motes danced in the
beam of Harlow's torch, disturbed only by the
rhythmic
shifting of her
weight
.
She adjusted the leather strap
of her
watch
, the band worn smooth against her left wrist, and checked the time again. 03:14.
Too early for the night
shift to have cleared the scene.
The cold radiating from the
tracks was a physical
weight
, pressing against her coat.
It was a damp chill
that sought out the spaces between ribs and settled deep in the marrow, a sensation that made the hair on her arms rise.
Detective Sergeant Miller stood over
the body, his jacket buttoned to the chin against the damp
chill
.
He was her partner, a
man who believed in fingerprints, ballistics, and the law as it
was written
on paper.
He didn't believe in shadows
that breathed.
He had been on the
force twelve years, long enough to know a dead man when he saw one, and short enough to think the explanation was always simple. "Cause of death is hypothermia mixed with blunt force trauma, I'd guess,"
Miller said, not looking up
.
He capped the torch and
shoved it into his pocket. "Bargain bin at best. Someone
tried to
hide here. Maybe a squatter." Harlow didn't answer immediately.
Her boots crunched on gravel
as she stepped closer, her movements precise, military.
She had spent eighteen years
hunting men in the concrete jungle of London, and men left smells that didn't vanish. Blood, sweat, gunpowder. This smell was different. Ozone and old paper.
It smelled of something that
had
been pulled
from a different world. "The body doesn't match," Harlow said.
Her voice was low, cutting
through the humidity of the tunnel.
She had a sharp jawline
that hardened when she focused, her brown eyes
scanning
the perimeter first, then the victim. "What's wrong with it? He's dead, Quinn." "He's too clean,"
she said, kneeling beside the
prone form.
Her gloved fingers hovered over
the corpse before touching. "Look at the wrists. No ligature marks. No struggle debris. And the clothes... these aren't stolen goods. This is a tailored suit."
She traced the lapel with
a gloved finger. The fabric was
pristine
, despite the grime on the floor. A man who died of hypothermia would be shivering, clutching at his clothes. This man lay with the stillness of a doll. Miller exhaled, a cloud of white vapor in the dim light. "Maybe he had money. Maybe he's not a drifter. Maybe he's a target." "A target," Harlow repeated, testing the word.
She stood up, her gaze
sweeping the darkened tunnel. "But the killer didn't leave a weapon. And the blood is in the wrong place."
She pointed to a faint
smudge on the wall, not the body. "Blood drips. It falls. This smudge is high up. Someone made him stand." Miller stepped back, his brow
furrowed
. "I didn't see that. I saw a body." "That's the problem,"
she muttered, pulling her flashlight
. "You're looking for a mugging. I'm looking for a ritual." The shadows deepened at the far end of the platform. A figure stepped forward, carrying the distinct, heavy sway of a leather satchel. It was Eva Kowalski.
She stood just beyond the
yellow tape, her round glasses reflecting the harsh work lights, eyes fixed on the body.
She had been called in
as an expert on the British Museum records, though Harlow knew Eva was too close to the clique she
was investigating
to be an unbiased consultant. Eva was a researcher by trade, a best friend to the girl who might be running the circle Harlow suspected. Eva didn't approach. She knew better than to cross the perimeter without a warrant signed by someone who had already seen the impossible. She adjusted her glasses, a nervous tick of her hand moving to tuck the curly red hair behind her ear, the gesture frantic against her stillness. "It's not the cold, Harlow," Eva said. Her voice was soft but carried over the tunnel's
echo
. "It's the energy. Look at the floor." Harlow followed her gaze. The concrete beneath the body was dry. No blood had seeped into the pores. The body had
been placed
there, laid out like an offering. Miller looked at the floor, then at the ceiling, his eyes darting in the
gloom
. "It's a floor, Evie. Concrete. Not a ritual." "Offering?" Miller scoffed. "Eva, we need evidence, not folklore." "You're looking for a weapon," Eva said, stepping
slightly
closer, breaking the tape. A spark of warning shot from Harlow's eyes, but the officer ignored it, focused on the anomaly. "You're looking for a knife. Or a gun." She gestured to the small object lying near the victim's palm. It wasn't jewelry. It was brass, tarnished with a verdigris patina that looked centuries old. A compass. Harlow felt the hair on her arms stand up. The Veil Compass. She had heard rumors, whispers from the fringes of the investigation into the clique. Crafted by a Shade artisan, it didn't point north. "Don't touch it," Harlow said
sharply
. She moved faster than a man of her size should, closing the distance. She stopped Miller from stepping forward. "What do you see?"
Miller asked, his tone shifting from dismissal to confusion
. "The needle," Eva said, nodding to the object. "It's not spinning. It's locked. It's pointing at the wall." Harlow turned to the brickwork behind the dead man. It was solid, painted over, part of the tunnel's support. Nothing unusual at first glance. But Harlow knew the terrain. This station was closed. There was no access here. She knelt, her knees cracking
slightly
, and pulled her flashlight. She didn't shine it on the body. She aimed it at the compass. "What is it pointing at?" she asked. "The wall," Eva said. "No," Harlow murmured. She leaned in, her breath catching. The compass needle
was vibrating
. It
wasn't pointing
at the wall. It
was pointing
at the *
air
* in front of the wall. "It's pointing at the rift." "There's no rift here, Detective. It's a dead end." "It's a hidden door,"
Harlow corrected, her mind racing through the database of her case notes
. "The Veil Market moves every full moon. It needs a bone token to enter." She looked at the victim again. The hands were empty. No token. "Then why is he here?" Miller asked. "He was killed by the market," Eva said. "Or for it. The market doesn't sell just goods, Detective. It sells access. This man wasn't a drifter. He was the bait." Harlow stood, the leather of her
watch
digging into her skin. She looked at Eva, then at Miller. The evidence didn't add up.
Not a murder scene, but a transaction gone wrong
. The victim had
tried to
buy something. Or sell something. And now he was the receipt. "He didn't die of hypothermia,"
Harlow said, her voice hardening
. "He died because something wanted him to be found. This isn't a crime of passion. It's a trade." She reached for her radio, but her hand paused. The compass needle stopped vibrating. It clicked against the casing, a final snap that
echoed
like a gunshot in the
silence
. Miller stepped forward. "I'm calling the commander. This is... this is outside our jurisdiction." "It's inside the crime,"
Harlow said, her brown eyes narrowing
. "And if the clique knew about this, they knew this was coming." She looked down at the body one last time. The smell of ozone was stronger now, a metallic tang that
tasted like copper on her tongue
. She
could feel
the
weight
of the investigation pressing against her temples. Morris had died in the same way. A body in a place that shouldn't exist. Three years. Three years of chasing ghosts that hadn't made sense until now. "Quinn," Miller warned. "I know what I'm seeing, Sergeant," Harlow said, her jaw setting, the sharp line of it cutting the
air
. "And I'm telling you, we don't move him until I find out what's on that compass." She reached for the brass object, careful not to break the seal. The verdigris felt warm to the touch, pulsing like a heartbeat. It wasn't a tool. It was a target. The Veil Market had come for the bait. And they had left a message for her. Harlow straightened, tucking the compass into her inner jacket pocket. She felt the
weight
of it against her chest. "Get the tape up,"
she ordered, her voice regaining its command
. "We seal the station. No one enters or leaves. Not until the bone token is found." "Bone token?"
Miller asked, his confusion widening
. "That's how they get in," Harlow said. She didn't explain further. There was no explaining a secret that
was already bleeding
into the daylight. She turned back to the body, her boots
echoing
against the tiles as she walked the perimeter. The shadows lengthened, stretching out from the walls like fingers waiting to close the loop. "Quinn,"
Eva said, her voice fainter now, echoing from the dark
. "If that compass moves, you know what happens." "I know what happens,"
Harlow replied, her hand resting on the weapon at her hip
. "That's why I'm the one who has to hold the line." She didn't believe in miracles. She believed in patterns. And this pattern was the same one she'd seen three years ago. A circle closing. A debt coming due. The Veil Market was awake, and Harlow Quinn was the only one standing between the world and the darkness it sold. She looked at the compass one last time. The needle was steady now, pointing directly at her.
created_at
"2026-02-25T23:52:40.209Z"
2/25/2026, 11:52:40 PM
model
"qwen/qwen3.5-35b-a3b-20260224"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
561
moderation_latency
(null)
generation_time
55747
tokens_prompt
923
tokens_completion
9922
native_tokens_prompt
905
native_tokens_completion
9319
native_tokens_completion_images
(null)
native_tokens_reasoning
7135
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.01886425
router
(null)
provider_responses
0
endpoint_id
"48c1210f-b7d2-4688-a340-f7424fc99d2b"
id
"chatcmpl-6b85f5fe-393e-9171-9800-6fca7ef9e5f6"
is_byok
false
latency
561
model_permaslug
"qwen/qwen3.5-35b-a3b-20260224"
provider_name
"Alibaba"
status
200
api_type
"completions"
id
"gen-1772063560-AIOBoUox6JKKrnfBqgtu"
upstream_id
"chatcmpl-6b85f5fe-393e-9171-9800-6fca7ef9e5f6"
total_cost
0.01886425
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
30
adverbTagCount
1
adverbTags
0
"Harlow said sharply [sharply]"
dialogueSentences
50
tagDensity
0.6
leniency
1
rawRatio
0.033
effectiveRatio
0.033
90.74%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1620
totalAiIsmAdverbs
3
found
0
adverb
"slightly"
count
2
1
adverb
"sharply"
count
1
highlights
0
"slightly"
1
"sharply"
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)
38.27%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1620
totalAiIsms
20
found
0
word
"rhythmic"
count
1
1
word
"weight"
count
4
2
word
"chill"
count
2
3
word
"scanning"
count
1
4
word
"traced"
count
1
5
word
"pristine"
count
1
6
word
"furrowed"
count
1
7
word
"echo"
count
1
8
word
"gloom"
count
1
9
word
"racing"
count
1
10
word
"database"
count
1
11
word
"echoed"
count
1
12
word
"silence"
count
1
13
word
"could feel"
count
1
14
word
"echoing"
count
2
highlights
0
"rhythmic"
1
"weight"
2
"chill"
3
"scanning"
4
"traced"
5
"pristine"
6
"furrowed"
7
"echo"
8
"gloom"
9
"racing"
10
"database"
11
"echoed"
12
"silence"
13
"could feel"
14
"echoing"
100.00%
Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches
0
maxInWindow
0
found
(empty)
highlights
(empty)
100.00%
Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells
0
narrationSentences
136
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
2
hedgeCount
1
narrationSentences
136
filterMatches
0
"watch"
hedgeMatches
0
"tried to"
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
156
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
maxSentenceWordsSeen
31
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
1
markdownWords
1
totalWords
1620
ratio
0.001
matches
0
"air"
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
27
unquotedAttributions
0
matches
(empty)
50.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
60
wordCount
1240
uniqueNames
14
maxNameDensity
1.77
worstName
"Harlow"
maxWindowNameDensity
3.5
worstWindowName
"Harlow"
discoveredNames
Tube
1
Harlow
22
Sergeant
1
Miller
13
London
1
Eva
11
Kowalski
1
British
1
Museum
1
Veil
3
Compass
1
Shade
1
Market
2
Quinn
1
persons
0
"Harlow"
1
"Sergeant"
2
"Miller"
3
"Eva"
4
"Kowalski"
5
"Museum"
6
"Market"
7
"Quinn"
places
0
"London"
1
"Compass"
globalScore
0.613
windowScore
0.5
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
90
glossingSentenceCount
1
matches
0
"tasted like copper on her tongue"
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
1
per1kWords
0.617
wordCount
1620
matches
0
"Not a murder scene, but a transaction gone wrong"
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
156
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
47
mean
34.47
std
24.23
cv
0.703
sampleLengths
0
113
1
73
2
39
3
60
4
37
5
7
6
81
7
24
8
56
9
14
10
18
11
98
12
49
13
24
14
52
15
9
16
66
17
35
18
25
19
13
20
18
21
38
22
30
23
4
24
36
25
9
26
42
27
7
28
30
29
48
30
28
31
30
32
14
33
22
34
66
35
3
36
35
37
31
38
16
39
19
40
27
41
7
42
56
43
19
44
26
45
49
46
17
94.94%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
4
totalSentences
136
matches
0
"was written"
1
"been pulled"
2
"been called"
3
"been placed"
51.19%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
5
totalVerbs
224
matches
0
"was investigating"
1
"was vibrating"
2
"wasn't pointing"
3
"was pointing"
4
"was already bleeding"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
156
ratio
0
matches
(empty)
94.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1240
adjectiveStacks
1
stackExamples
0
"solid, painted over, part"
adverbCount
25
adverbRatio
0.020161290322580645
lyAdverbCount
10
lyAdverbRatio
0.008064516129032258
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
156
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
156
mean
10.38
std
6.15
cv
0.592
sampleLengths
0
20
1
18
2
21
3
1
4
11
5
14
6
28
7
17
8
20
9
7
10
29
11
17
12
10
13
12
14
4
15
13
16
20
17
3
18
4
19
4
20
12
21
6
22
11
23
20
24
7
25
10
26
9
27
30
28
10
29
13
30
9
31
11
32
13
33
7
34
9
35
27
36
13
37
6
38
8
39
8
40
10
41
10
42
13
43
4
44
20
45
31
46
20
47
3
48
20
49
26
39.03%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
17
diversityRatio
0.2645161290322581
totalSentences
155
uniqueOpeners
41
27.32%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
1
totalSentences
122
matches
0
"Too early for the night"
ratio
0.008
49.51%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
52
totalSentences
122
matches
0
"She adjusted the leather strap"
1
"It was a damp chill"
2
"He was her partner, a"
3
"He didn't believe in shadows"
4
"He had been on the"
5
"He capped the torch and"
6
"Her boots crunched on gravel"
7
"She had spent eighteen years"
8
"It smelled of something that"
9
"Her voice was low, cutting"
10
"She had a sharp jawline"
11
"she said, kneeling beside the"
12
"Her gloved fingers hovered over"
13
"She traced the lapel with"
14
"She stood up, her gaze"
15
"She pointed to a faint"
16
"she muttered, pulling her flashlight"
17
"It was Eva Kowalski."
18
"She stood just beyond the"
19
"She had been called in"
ratio
0.426
9.18%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
110
totalSentences
122
matches
0
"The air in the abandoned"
1
"Dust motes danced in the"
2
"She adjusted the leather strap"
3
"The cold radiating from the"
4
"It was a damp chill"
5
"Detective Sergeant Miller stood over"
6
"He was her partner, a"
7
"He didn't believe in shadows"
8
"He had been on the"
9
"Miller said, not looking up"
10
"He capped the torch and"
11
"Harlow didn't answer immediately."
12
"Her boots crunched on gravel"
13
"She had spent eighteen years"
14
"Blood, sweat, gunpowder."
15
"This smell was different."
16
"Ozone and old paper."
17
"It smelled of something that"
18
"Her voice was low, cutting"
19
"She had a sharp jawline"
ratio
0.902
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
122
matches
(empty)
ratio
0
38.69%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
48
technicalSentenceCount
7
matches
0
"The air in the abandoned Tube station was stale, recycled through a ventilation system that hadn't breathed in twenty years."
1
"It was a damp chill that sought out the spaces between ribs and settled deep in the marrow, a sensation that made the hair on her arms rise."
2
"He was her partner, a man who believed in fingerprints, ballistics, and the law as it was written on paper."
3
"She had a sharp jawline that hardened when she focused, her brown eyes scanning the perimeter first, then the victim."
4
"A man who died of hypothermia would be shivering, clutching at his clothes."
5
"Eva was a researcher by trade, a best friend to the girl who might be running the circle Harlow suspected."
6
"It was brass, tarnished with a verdigris patina that looked centuries old."
0.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
30
uselessAdditionCount
9
matches
0
"Miller said, not looking up"
1
"Miller asked, his tone shifting from dismissal to confusion"
2
"Harlow corrected, her mind racing through the database of her case notes"
3
"Harlow said, her voice hardening"
4
"Harlow said, her brown eyes narrowing"
5
"she ordered, her voice regaining its command"
6
"Miller asked, his confusion widening"
7
"Eva said, her voice fainter now, echoing from the dark"
8
"Harlow replied, her hand resting on the weapon at her hip"
30.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
25
fancyCount
6
fancyTags
0
"Harlow repeated (repeat)"
1
"she muttered (mutter)"
2
"Harlow murmured (murmur)"
3
"Harlow corrected (correct)"
4
"Miller warned (warn)"
5
"she ordered (order)"
dialogueSentences
50
tagDensity
0.5
leniency
1
rawRatio
0.24
effectiveRatio
0.24
73.7627%