NC Bench
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Run: 2026-02-19-01KHT0KKRENM6G7QQ3F342XBTE
Run Details
Model:
DeepSeek V3.2
Test:
Bad Writing Habits
Scenario:
Mystery: examining a crime scene
Duration:
1m 10s
Cost:
$0.001198
Provider:
AtlasCloud
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
80.79%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
58.84%
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)
51.43%
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)
82.73%
Passive voice overuse
(details)
100.00%
Past progressive (was/were + -ing) overuse
(details)
100.00%
Em-dash & semicolon overuse
(details)
100.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
56.90%
Sentence opener variety
(details)
32.05%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
22.50%
Subject-first sentence starts
(details)
48.08%
Subordinate conjunction sentence starts
(details)
100.00%
Technical jargon density
(details)
62.50%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
86.5274%
Overall
Model input
System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>
Model response
Messages
Meta
AI
The air in the abandoned
Camden Tube station was a physical thing. It tasted of cold stone, rust, and something else, something metallic and coppery that Detective Harlow Quinn recognized as old blood.
Her footsteps echoed off the
curved tiled walls, the worn leather of her boots scuffing against decades of grime.
She adjusted the strap of
the duty satchel over her shoulder, her movements sharp with military precision.
Her left wrist, where her
worn leather
watch
sat, felt cold.
The scene was cordoned off
just past the defaced ticket barriers.
A single floodlight on a
tripod cast a harsh, white circle on the cracked platform, turning everything outside its reach into impenetrable shadow. In the centre of the light lay a body, covered by a
standard
-issue plastic sheet.
A young PC, looking pale
and out of his depth, stood guard. But it wasn’t the PC who drew Quinn’s attention.
It was the woman kneeling
beside the sheet, her back to Quinn.
A worn leather satchel sat
open on the ground beside her, spilling books and folders. Curly red hair, barely contained, caught the edge of the light.
She was carefully lifting a
corner of the plastic with a gloved hand. “Kowalski.”
The woman flinched, tucking a
stray curl behind her left ear.
Eva Kowalski looked up, her
round glasses reflecting the floodlight, turning her eyes into white discs for a moment before they
resolved
into worried green. “Detective Quinn. They called you in.” “They called a detective. I drew the short straw. What are you doing here? This isn’t the British Museum’s reading room.”
Quinn stepped into the circle
of light.
Her own shadow stretched long
and sharp across the tiles. “And why is a research assistant from Antiquities the first one a scene officer calls for a suspicious death in a disused station?”
Eva stood, brushing dust from
her trousers. “Because the scene officer is PC Davies. He went to school with my cousin. He knows what I study. And he took one look at… this… and thought it was in my wheelhouse.” “Your wheelhouse.”
Quinn’s voice was flat
.
She moved past Eva and
knelt by the body. She pulled the sheet back. The victim was a man, maybe late twenties. Dressed in dark, practical clothing. No obvious signs of trauma. No blood pooling, no visible wounds.
His face was relaxed, almost
peaceful, which was wrong. Death in a place like this was never peaceful.
His eyes were open, staring
at the soot-stained ceiling arching overhead. “Cause of death?”
Quinn asked, her eyes scanning the body, the immediate area
. “Unknown. No visible injury. Davies said they found him like this two hours ago. Called it in as a possible overdose or exposure.” Eva’s voice was quiet, clinical. “But look at his hands.” Quinn did. The man’s palms
were upturned
, resting on his thighs. They were clean. Too clean. The lines of his palms
were darkened
, as if stained with ink or soot, but in
intricate
, swirling patterns that didn’t look accidental. “What is that?” “Sigils. Protective wards, mostly. The kind you’d see in late medieval grimoires.” Eva crouched down beside her, opening her satchel.
She pulled out a small
digital camera. “I took some pictures before you arrived. For my archives.” “You contaminated a crime scene.” “I wore gloves. And you’d have missed this.” Eva zoomed in on one of the camera’s images and handed it to Quinn. The screen showed a close-up of the man’s right palm. The dark lines formed a
complex
geometric shape, a series of interlocking circles and angular runes. “It’s not tattooed. It’s a residue. It feels chalky, like charcoal mixed with something organic.” Quinn handed the camera back.
Her own sharp jaw was
tight. “A junkie with a flair for the dramatic. Dabbled in something he shouldn’t have, it went wrong, he died. Happens every week.” “Maybe.” Eva didn’t sound convinced.
She pointed to the ground
around the body. “But where’s his kit? No backpack, no water bottle, no lighter, no spoons or foil. If he was down here to shoot up or huff something, he’d have brought supplies. And look at the floor.” Quinn shifted her gaze. The platform tiles around the body were free of debris. No discarded needles, no empty packets, no trash. But as she looked closer, leaning in, she saw it. A fine, almost imperceptible layer of silvery dust formed a near-
perfect
circle around the body, about six feet in diameter.
It was so faint it
was only visible where the light hit it at a certain angle. “Davies didn’t see that,” Eva said. “He was too busy trying not to be sick. It’s not plaster dust. It’s too fine. It’s metallic.” Quinn dipped a finger into her own pocket, pulled out a small evidence bag, and used a tweezers from her kit to collect a pinch of the dust. It
shimmered
under the light. “Ground quartz? Mica?” “Ground moonstone, maybe. Or something more exotic. Used in a lot of boundary rituals.” Eva stood and walked to the edge of the light circle, peering into the darkness of the tunnel mouth. “This station hasn’t been used in forty years. But it’s not empty. There are signs of recent traffic. Not homeless. Something else.” Quinn rose, joining her.
She clicked on her heavy
police-issue torch. The beam cut through the black, illuminating the tunnel. The walls
were covered
in graffiti, but not the usual tags. These were more of the
intricate
symbols, painted in what
looked like blacklight-reactive paint
.
Further in, she could make
out the shapes of makeshift stalls—collapsed tables, empty crates stacked with care. “A squat. An art collective. Kids.” “Kids who use alchemical symbols and ritual circles?” Eva’s voice held a thread of excitement she
was trying
to suppress. “This is a known point of convergence. Ley lines. There are maps in the Museum’s restricted collection that mark this exact location. It’s a weak spot.” “A weak spot.” “Between what is and what could be. Between the mundane and the… other.” Eva turned to face her, her freckled complexion pale in the unnatural light. “Three years ago, there was an incident report. Unexplained electrical phenomena down here. Animals found disoriented. A security guard’s report that was filed and forgotten. He claimed he saw a market. Stalls selling glowing stones and liquid shadows. They diagnosed him with carbon monoxide poisoning and pensioned him off.” Quinn went
very
still. The mention of three years ago was a needle pressed to a old, deep bruise. DS Morris’s face flashed in her mind—his confusion, his fear in those last days, the reports she’d buried because they made no sense. “Superstitious nonsense.” “Is it?” Eva gestured back to the body. “Then explain him. No cause of death. Ritual markings. A boundary circle. Found in a location documented as a supernatural convergence point. The evidence doesn’t add up to an overdose, Detective. It adds up to something else entirely.” Quinn walked back to the body.
She looked at it not
as a detective looking for a murderer, but as a puzzle. The peace on the man’s face wasn’t the blankness of an overdose.
It was the slackness of
sudden, total absence.
As if something had been
pulled out of him, cleanly and
completely
. She looked at his hands again, at the sigils. They weren’t just on his palms. Peeling back the cuff of his jacket, she saw the lines continued up his wrists, fading as they went. “These aren’t for protection,”
Quinn said, her voice low
. “They’re a map. Or an invitation.” Eva hurried over. “What do you mean?” “You said they were protective wards. But look at the direction of the lines on the right palm.” Quinn pointed with her tweezers. “They spiral inward, toward the centre. A protective ward radiates outward, to deflect. This draws in. And on the left…” She
gently
turned the cold wrist. The pattern there was different, a series of sharp, angular breaks in the spiral. “This one is broken. Interrupted. Something went wrong with the sequence.” “He
was trying
to channel something. Or open something.” Eva’s breath fogged in the cold air. “And he didn’t finish the circuit. The energy had nowhere to go but back into him.” Quinn stared at the man’s serene face. “It didn’t go back into him. It took him with it. Whatever he
was trying
to summon or open… it took the whole package. That’s why there’s no physical cause. He’s not here. Not
really
. He’s just the… the shell it left behind.” The two women looked at each other across the body. The hum of the floodlight was the only sound. PC Davies shifted his feet
nervously
at the edge of the darkness. “We need to find his kit,” Quinn said, breaking the
silence
. Her tone was all business again, but it was tighter, focused on a new and unsettling target. “If he was doing a ritual, he’d have tools. A focus. Something to control the flow. It’s not here, which means either someone took it, or…” “Or it was consumed in the process,” Eva finished. She bit her lip. “There are markets, Detective. Hidden ones. For people who traffic in this kind of thing. If he was a practitioner, even an amateur, he’d have gotten his supplies somewhere.” Quinn’s eyes
scanned
the tunnel again, the ghost stalls. A market. Liquid shadows and glowing stones. The security guard’s dismissed report. Morris’s frantic, nonsensical notes in the margins of his case file. “This ‘weak spot’. Would it be… active? Could you find it if you didn’t know where to look?” Eva reached into her satchel. Her fingers brushed against several books before closing around a small, cool metal object. She hesitated, then drew it out. It was a small brass compass, its casing mottled with a greenish-blue patina. The face
was etched
with tiny,
intricate
sigils. “Not without a guide. But with the right tool… maybe. This points towards rifts. Supernatural thin places.” Quinn took the compass. It was heavier than it looked. The needle, instead of pointing north,
quivered
and spun in a slow, restless circle. “Where did you get this?” “The same place he probably got his supplies.” Eva tucked her hair back again, a nervous flutter. “A place that moves. You need a token to find it. A bone token.” The compass needle
suddenly
steadied, pointing past Quinn, deep into the dark tunnel. It gave a single, sharp jerk. Quinn looked from the compass to the empty, serene face of the dead man on the platform, then back to the waiting darkness. The evidence she had was impossible. The evidence she was missing was somewhere in that black. And for the first time since she’d stood over her partner’s body three years ago, the pieces of a nightmare
were beginning
to align into a picture she could actually see.
created_at
"2026-02-19T03:55:25.846Z"
2/19/2026, 3:55:25 AM
model
"deepseek/deepseek-v3.2-20251201"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1619
moderation_latency
(null)
generation_time
69846
tokens_prompt
1149
tokens_completion
2829
native_tokens_prompt
1033
native_tokens_completion
2445
native_tokens_completion_images
(null)
native_tokens_reasoning
0
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
0.00119768
router
(null)
provider_responses
0
endpoint_id
"4c18a672-9069-469d-9e6b-8af2300fe7b7"
is_byok
false
latency
19
model_permaslug
"deepseek/deepseek-v3.2-20251201"
provider_name
"Parasail"
status
429
1
endpoint_id
"3570a950-b80f-4acd-bb92-8e1c1c51fafc"
id
"781d1158a7d4419483deede16a3359f2"
is_byok
false
latency
1619
model_permaslug
"deepseek/deepseek-v3.2-20251201"
provider_name
"AtlasCloud"
status
200
api_type
"completions"
id
"gen-1771473325-jsMQWumgKxpEOrPnoCCV"
upstream_id
"781d1158a7d4419483deede16a3359f2"
total_cost
0.00119768
cache_discount
(null)
upstream_inference_cost
0
provider_name
"AtlasCloud"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
16
adverbTagCount
1
adverbTags
0
"Eva gestured back [back]"
dialogueSentences
50
tagDensity
0.32
leniency
0.64
rawRatio
0.063
effectiveRatio
0.04
80.79%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1822
totalAiIsmAdverbs
7
found
0
adverb
"carefully"
count
1
1
adverb
"very"
count
1
2
adverb
"completely"
count
1
3
adverb
"gently"
count
1
4
adverb
"really"
count
1
5
adverb
"nervously"
count
1
6
adverb
"suddenly"
count
1
highlights
0
"carefully"
1
"very"
2
"completely"
3
"gently"
4
"really"
5
"nervously"
6
"suddenly"
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)
58.84%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1822
totalAiIsms
15
found
0
word
"footsteps"
count
1
1
word
"echoed"
count
1
2
word
"standard"
count
1
3
word
"resolved"
count
1
4
word
"scanning"
count
1
5
word
"intricate"
count
3
6
word
"complex"
count
1
7
word
"perfect"
count
1
8
word
"shimmered"
count
1
9
word
"silence"
count
1
10
word
"scanned"
count
1
11
word
"etched"
count
1
12
word
"quivered"
count
1
highlights
0
"footsteps"
1
"echoed"
2
"standard"
3
"resolved"
4
"scanning"
5
"intricate"
6
"complex"
7
"perfect"
8
"shimmered"
9
"silence"
10
"scanned"
11
"etched"
12
"quivered"
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
109
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
1
hedgeCount
0
narrationSentences
109
filterMatches
0
"watch"
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
140
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
maxSentenceWordsSeen
49
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1813
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
11
unquotedAttributions
0
matches
(empty)
51.43%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
47
wordCount
1116
uniqueNames
9
maxNameDensity
1.97
worstName
"Quinn"
maxWindowNameDensity
3
worstWindowName
"Quinn"
discoveredNames
Camden
1
Tube
1
Detective
1
Harlow
1
Quinn
22
Kowalski
1
Eva
17
Morris
2
Davies
1
persons
0
"Detective"
1
"Harlow"
2
"Quinn"
3
"Kowalski"
4
"Eva"
5
"Morris"
6
"Davies"
places
(empty)
globalScore
0.514
windowScore
0.667
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
83
glossingSentenceCount
1
matches
0
"looked like blacklight-reactive paint"
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
1
per1kWords
0.552
wordCount
1813
matches
0
"not as a detective looking for a murderer, but as a puzzle"
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
140
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
45
mean
40.29
std
22.64
cv
0.562
sampleLengths
0
80
1
70
2
51
3
1
4
42
5
61
6
40
7
20
8
53
9
13
10
33
11
39
12
3
13
37
14
5
15
63
16
33
17
48
18
69
19
24
20
36
21
55
22
62
23
6
24
46
25
3
26
75
27
44
28
46
29
88
30
15
31
7
32
74
33
32
34
50
35
31
36
54
37
42
38
32
39
18
40
63
41
29
42
31
43
19
44
70
82.73%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
7
totalSentences
109
matches
0
"was cordoned"
1
"was relaxed"
2
"were upturned"
3
"were darkened"
4
"were covered"
5
"been pulled"
6
"was etched"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
2
totalVerbs
183
matches
0
"was trying"
1
"were beginning"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
2
semicolonCount
0
flaggedSentences
2
totalSentences
140
ratio
0.014
matches
0
"Further in, she could make out the shapes of makeshift stalls—collapsed tables, empty crates stacked with care."
1
"DS Morris’s face flashed in her mind—his confusion, his fear in those last days, the reports she’d buried because they made no sense."
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1125
adjectiveStacks
0
stackExamples
(empty)
adverbCount
36
adverbRatio
0.032
lyAdverbCount
11
lyAdverbRatio
0.009777777777777778
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
140
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
140
mean
12.95
std
8.91
cv
0.688
sampleLengths
0
12
1
21
2
19
3
17
4
11
5
11
6
23
7
15
8
12
9
9
10
12
11
15
12
11
13
13
14
1
15
11
16
25
17
6
18
28
19
10
20
23
21
7
22
33
23
6
24
9
25
5
26
8
27
5
28
5
29
6
30
9
31
9
32
11
33
13
34
28
35
5
36
2
37
9
38
3
39
2
40
23
41
3
42
20
43
7
44
10
45
5
46
22
47
10
48
16
49
15
56.90%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
7
diversityRatio
0.37142857142857144
totalSentences
140
uniqueOpeners
52
32.05%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
1
totalSentences
104
matches
0
"Further in, she could make"
ratio
0.01
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
30
totalSentences
104
matches
0
"It tasted of cold stone,"
1
"Her footsteps echoed off the"
2
"She adjusted the strap of"
3
"Her left wrist, where her"
4
"It was the woman kneeling"
5
"She was carefully lifting a"
6
"Her own shadow stretched long"
7
"She moved past Eva and"
8
"She pulled the sheet back."
9
"His face was relaxed, almost"
10
"His eyes were open, staring"
11
"They were clean."
12
"She pulled out a small"
13
"Her own sharp jaw was"
14
"She pointed to the ground"
15
"It was so faint it"
16
"It shimmered under the light."
17
"She clicked on her heavy"
18
"She looked at it not"
19
"It was the slackness of"
ratio
0.288
22.50%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
91
totalSentences
104
matches
0
"The air in the abandoned"
1
"It tasted of cold stone,"
2
"Her footsteps echoed off the"
3
"She adjusted the strap of"
4
"Her left wrist, where her"
5
"The scene was cordoned off"
6
"A single floodlight on a"
7
"A young PC, looking pale"
8
"It was the woman kneeling"
9
"A worn leather satchel sat"
10
"She was carefully lifting a"
11
"The woman flinched, tucking a"
12
"Eva Kowalski looked up, her"
13
"Quinn stepped into the circle"
14
"Her own shadow stretched long"
15
"Eva stood, brushing dust from"
16
"Quinn’s voice was flat"
17
"She moved past Eva and"
18
"She pulled the sheet back."
19
"The victim was a man,"
ratio
0.875
48.08%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
1
totalSentences
104
matches
0
"As if something had been"
ratio
0.01
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
46
technicalSentenceCount
1
matches
0
"The lines of his palms were darkened, as if stained with ink or soot, but in intricate, swirling patterns that didn’t look accidental."
62.50%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
16
uselessAdditionCount
2
matches
0
"Quinn asked, her eyes scanning the body, the immediate area"
1
"Quinn said, her voice low"
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
4
fancyCount
0
fancyTags
(empty)
dialogueSentences
50
tagDensity
0.08
leniency
0.16
rawRatio
0
effectiveRatio
0
86.5274%