NC Bench
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Run: 2026-09-02-01M1HHMADGEN1CB5MY71CN1PYA
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Bad Writing Habits
Scenario:
Mystery: examining a crime scene
Duration:
2m 38s
Cost:
$0.006160
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
100.00%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
95.69%
AI-ism word frequency
(details)
100.00%
Cliché density
(details)
100.00%
Emotion telling (show vs. tell)
(details)
43.19%
Filter word density
(details)
100.00%
Gibberish response detection
(details)
100.00%
Markdown formatting overuse
(details)
100.00%
Missing dialogue indicators (quotation marks)
(details)
84.55%
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)
88.94%
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)
39.92%
Sentence opener variety
(details)
100.00%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
50.52%
Subject-first sentence starts
(details)
0.00%
Subordinate conjunction sentence starts
(details)
100.00%
Technical jargon density
(details)
100.00%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
90.0938%
Overall
Model input
System
You are an expert and award-winning novel writer in the dark Mystery genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
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> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on 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 body sat upright behind
a market stall built from crate timber and iron mesh, its face angled toward the nearest exit and its hands folded over a ledger with no police number clipped to the page.
Harlow Quinn ducked beneath the
cordon tape, kept her eyes on the man’s shoes, and stopped the moment the platform’s air hit her throat. Old dust, cold metal, and a sweetness like melted bone. He didn’t
do that himself
.
Eva Kowalski stepped from behind
a rack of unlit candles, balancing a leather satchel full of books against her hip. Round glasses caught the flat light, freckles standing out pale under it, and she tucked a curly red strand behind her left ear.
The abandoned Tube platform below
Camden had
been shut
for years, but someone had painted the tiled arches black and hung old railway signs over them like masks.
Then who put him in
the chair? The Market moved. It does that.
It leaves things where it
needs them.
Your Market moved with a
dead man?
The Market moves on the
full moon. It should have emptied.
Harlow’s worn leather watch hung
cold on her left wrist. She ignored it. Who found him? I did.
I was meant to meet
him here. Where? Under the sign for Platform Four.
It is gone, but the
shape remains.
Harlow turned the torch over
the tiles.
The platform was wet, not
from rain, but from some deep sweat that the station gave off when the old trains stopped coming.
A line of salt ran
around the stall threshold, broken only by a wide boot print that pointed outward. No print pointed in.
His watch is on the
wrong wrist. Eva bent beside her. That is not his
watch
. No.
It was not on the
intake report. There was no intake report. There was a locked ticket hall, a missing Market, and a corpse posing as a vendor. Harlow lifted the dead man’s sleeve with two fingers. The leather
watch
had slipped on with a stiff strap, and the band showed no shine from skin oil. A man does not wear something so new unless he means to impress someone for the last time. The shoes are dry. Eva looked at his feet, then at the wet gleam on the tiles. Someone carried him. Someone carried him here, sat him down, and wanted the Market story to eat the blame. The stall’s top surface held a ledger, a pen, a candle stub, and a small brass compass green with verdigris. Harlow saw the protective sigils
etched
on its face before she saw what it did. The needle pointed toward the dead man’s chest. Veil Compass. Where is it from? The Market. Specifically. Eva’s mouth tightened. A Shade artisan. The sigils are old style. Someone used it to find a rift, or to close one. The dead man’s chest rose once. Harlow did not step back.
She looked at the ledger
first. Columns of names and dates filled the page. The last line read: “Wren, T. 4-4-11, paid to leave.” That is not today. Eva took off her glasses and wiped them on the inside of her sleeve. The dates are not always in order. Not for a dead man. Harlow pressed her finger to the ink.
It smeared only on the
edge, old but not fully cured.
She lifted the corner with
her
watch
strap. A faint line of candle wax ran under the page, a thread cut clean and then dragged into a crack in the crate timber. Beneath the ledger, the stall’s wooden top carried a circle of blackened brass. Someone had scratched through the protective sigil with something thin and sharp. The scratch was not random.
It crossed the seal where
a knot should have sat. Someone came in here and changed the rules. The Market has guards. Guards need eyes. Harlow looked at the bone token hanging on a nail beside the stall’s door.
It was pale, polished at
the edge, and had two small holes drilled at the top. A single hole was enough for a string. Two holes meant someone had sewn it into a lining, or into skin. The black cord had been cut on both ends, not frayed by a body. No one enters without a bone token. No. Eva gestured at the token on the nail. Then Wren had one.
Then the killer left it
behind. Harlow reached for the token. Eva caught her sleeve. Do not. Why? The compass points at him. The compass points where a rift is closest.
Then the rift is not
on his chest. It is under the stall. Harlow pulled free and lifted the token. It was warm. Not room warm. Pocket warm. The smell of river mud rose from the wood, and the mark on the bone showed a crooked roof above three small windows. Eva made a sound close to a breath. That is the Ashcombe mark. You
know
the family? I
know
what they collect. Harlow crouched lower and shone the torch into the crack under the false ledger shelf. The gap gave way to a hollow cut into the crate, and inside that hollow sat a second bone token, fresh chisel marks shining pale under the dust. The first token had not
been lost
. It had been bait. The wide boot print outside had not left because the killer had not walked out. The wet tile pattern had not ended because no one had crossed the threshold. Someone had used the bone token at the gate, then opened a smaller door through the stall floor, a seam, a fold, a hole that only a Veil Compass could find. Eva read Harlow’s face. You
think
he came through the floor. I
think
he
was dragged
through it. Harlow moved to the stall’s side panel and ran her fingers along the nails. Three had
been pulled
and pushed back, loose enough to lift the wood. She pushed. The panel gave. Cold air rushed over her wrist, carrying the smell of candle smoke and old river mud. The lamp above the stall guttered and went out. The cordon tape flapped once, though no train moved through the dark. Stay there. Harlow. I said stay. She lifted the fallen panel with the toe of her boot. Under the stall lay a hole in the stone, rimmed with black glass. The Veil Compass spun on the crate top and pointed straight down. The dead man’s fingers closed on the ledger. The pages lifted and turned themselves. The name in the last column changed from “Wren” to “Quinn.” Eva grabbed her satchel. Do not read it. Harlow already did. The words on the page wrote themselves in a fresh line, ink still wet, the date today, the amount marked in blood: “Harlow Quinn, present to leave.” Something under the black glass laughed with the sound of a coin dropped into a mouth.
created_at
"2026-09-02T17:10:54.138Z"
9/2/2026, 5:10:54 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
776
moderation_latency
(null)
generation_time
158076
tokens_prompt
4492
tokens_completion
13769
native_tokens_prompt
4554
native_tokens_completion
12893
native_tokens_completion_images
(null)
native_tokens_reasoning
11387
native_tokens_cached
4352
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.006159642
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788369054-oK51N0YIoV3elf6drpyT"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788369054-NuNYjOHcEFghPVVytoAd"
upstream_id
"chatcmpl-2062ee89-3b26-922b-b578-e6ab13864257"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-2062ee89-3b26-922b-b578-e6ab13864257"
is_byok
false
latency
776
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.006159642
cache_discount
0.000583168
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
3
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
3
tagDensity
1
leniency
1
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1159
totalAiIsmAdverbs
0
found
(empty)
highlights
(empty)
100.00%
AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions
(empty)
found
(empty)
100.00%
AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions
(empty)
found
(empty)
95.69%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1159
totalAiIsms
1
found
0
word
"etched"
count
1
highlights
0
"etched"
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
129
matches
(empty)
43.19%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
9
hedgeCount
0
narrationSentences
129
filterMatches
0
"watch"
1
"know"
2
"think"
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
129
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
37
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1159
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
0
unquotedAttributions
0
matches
(empty)
84.55%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
47
wordCount
1146
uniqueNames
14
maxNameDensity
1.31
worstName
"Harlow"
maxWindowNameDensity
2
worstWindowName
"Market"
discoveredNames
Quinn
1
Kowalski
1
Tube
1
Camden
1
Market
7
Platform
1
Four
1
Compass
3
Shade
1
Wren
1
Ashcombe
1
Veil
3
Harlow
15
Eva
10
persons
0
"Quinn"
1
"Kowalski"
2
"Camden"
3
"Market"
4
"Compass"
5
"Wren"
6
"Ashcombe"
7
"Harlow"
8
"Eva"
places
(empty)
globalScore
0.846
windowScore
1
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
76
glossingSentenceCount
0
matches
(empty)
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
1
per1kWords
0.863
wordCount
1159
matches
0
"not from rain, but from some deep sweat"
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
1
totalSentences
129
matches
0
"do that himself"
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
69
mean
16.8
std
18.73
cv
1.115
sampleLengths
0
71
1
5
2
71
3
7
4
13
5
7
6
11
7
13
8
3
9
9
10
1
11
13
12
53
13
7
14
9
15
1
16
7
17
21
18
46
19
4
20
16
21
16
22
43
23
2
24
4
25
2
26
1
27
22
28
6
29
29
30
4
31
21
32
5
33
50
34
40
35
8
36
4
37
3
38
65
39
7
40
1
41
12
42
6
43
5
44
6
45
1
46
5
47
8
48
13
49
38
88.94%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
6
totalSentences
129
matches
0
"been shut"
1
"was meant"
2
"is gone"
3
"been lost"
4
"was dragged"
5
"been pulled"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
189
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
129
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1146
adjectiveStacks
0
stackExamples
(empty)
adverbCount
24
adverbRatio
0.020942408376963352
lyAdverbCount
7
lyAdverbRatio
0.006108202443280977
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
129
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
129
mean
8.98
std
7.01
cv
0.78
sampleLengths
0
37
1
24
2
10
3
5
4
20
5
23
6
28
7
7
8
3
9
3
10
7
11
7
12
7
13
4
14
10
15
3
16
3
17
2
18
7
19
1
20
6
21
7
22
7
23
23
24
19
25
4
26
7
27
4
28
5
29
1
30
7
31
5
32
16
33
9
34
19
35
18
36
4
37
13
38
3
39
16
40
20
41
15
42
8
43
2
44
4
45
2
46
1
47
3
48
3
49
5
39.92%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
13
diversityRatio
0.2713178294573643
totalSentences
129
uniqueOpeners
35
100.00%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
4
totalSentences
116
matches
0
"Then who put him in"
1
"Then Wren had one."
2
"Then the killer left it"
3
"Then the rift is not"
ratio
0.034
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
24
totalSentences
116
matches
0
"He didn’t do that himself."
1
"It does that."
2
"It leaves things where it"
3
"Your Market moved with a"
4
"It should have emptied."
5
"She ignored it."
6
"I was meant to meet"
7
"It is gone, but the"
8
"His watch is on the"
9
"It was not on the"
10
"She looked at the ledger"
11
"It smeared only on the"
12
"She lifted the corner with"
13
"It crossed the seal where"
14
"It was pale, polished at"
15
"It is under the stall."
16
"It was warm."
17
"You know the family?"
18
"I know what they collect."
19
"It had been bait."
ratio
0.207
50.52%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
95
totalSentences
116
matches
0
"The body sat upright behind"
1
"Harlow Quinn ducked beneath the"
2
"He didn’t do that himself."
3
"Eva Kowalski stepped from behind"
4
"The abandoned Tube platform below"
5
"The Market moved."
6
"It does that."
7
"It leaves things where it"
8
"Your Market moved with a"
9
"The Market moves on the"
10
"It should have emptied."
11
"Harlow’s worn leather watch hung"
12
"She ignored it."
13
"I was meant to meet"
14
"It is gone, but the"
15
"Harlow turned the torch over"
16
"The platform was wet, not"
17
"A line of salt ran"
18
"His watch is on the"
19
"Eva bent beside her."
ratio
0.819
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
116
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
41
technicalSentenceCount
0
matches
(empty)
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
3
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
0
90.0938%