NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-09-02-01M1HAYGECA4KV4VPK9Y0VS2QZ
Run Details
Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
5m 43s
Cost:
$0.079800
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)
66.89%
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)
66.67%
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)
100.00%
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)
42.27%
Sentence opener variety
(details)
72.46%
Adverb-first sentence starts
(details)
59.13%
Pronoun-first sentence starts
(details)
3.48%
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)
87.0298%
Overall
Model input
System
You are an expert and award-winning novel writer in the dark Literary Fiction 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="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</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> </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 literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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 whisky glass slipped from
my fingers and cracked across the bar top when the woman at the door said Laila.
Amber liquid ran over the
polished wood.
Silas reached for a cloth
without looking up. "We don't serve ghosts." "This one has a name."
I knew the voice before
I knew the face.
The Cardiff vowels had lost
their old
warmth
. They arrived flat and precise, like a blade laid on a counter. Sian. No. Not Sian.
The woman who had once
worn red jumpers and laughed too loud in libraries stood before me in a black coat cut for vanishing.
She had cropped her hair
close to her skull.
A thin white scar curved
above her left ear.
She smelled of cold street
air and metal.
She kept her hands out
of her pockets, palms open, fingers loose. Old habit. New reason. "Rory." She tested the name. "Laila died." "Did she?" Silas put the cloth down.
His neatly trimmed beard caught
the low light.
His hazel eyes moved from
my face to the woman's hands.
The silver signet ring on
his right hand clicked against the bar rail. "If you're buying, buy. If you're haunting, take it elsewhere." "I'm buying." "Then order." "Malt. No ice." I poured.
My hand held steady until
the bottle neck kissed the glass rim. Then it jumped.
A crescent of whisky splashed
over my knuckles.
The scar on my left
wrist tightened, an old fool answering an old call.
She took the drink but
did not raise it. "Five years." "Five." "You stopped writing." "I stopped being found." "And Evan?" The name landed between us with the
weight
of a dropped stone. "Gone." "That's not what I asked." Silas picked up the broken glass.
He moved with the slow
economy of a man who had learned to make pain wait.
His left leg dragged a
fraction as he rounded the bar. "Corner booth. If you want privacy. If you want trouble, the street's free." "We want privacy." "Then the good bottle comes with it." Mara, because I could not call her Sian yet, gave a small nod. Silas led us past the warped paperbacks and the framed photographs of Soho in faded monochrome. The green neon sign above the entrance threw its colour across the floorboards. Old maps lined the walls, routes brown with age. The Raven's Nest wore its secrets like furniture. The corner booth smelled of lemon oil and crushed
velvet
. Silas set down a bottle of malt and three glasses.
He placed one in front
of me, one in front of Mara, and one in front of himself. "On the house. For old friends." "We're not friends." "Then call it rent."
He sat with his back
to the room.
His bad knee stretched out
under the table, angled away from pressure. Mara noticed. She noticed everything. "You know what I want." "I know what people usually want from Silas Blackwood. Names. Rooms. Silence." "I want the room." Silas turned his glass a quarter turn. "The room belongs to people who tell me why." "I'm here because of a delivery." My
stomach
went cold. "I deliver food." "You delivered to Harrow Street." "Half of Soho orders from the Golden Empress." "You signed the receipt with a name you don't use." "You watched me." "I watch everyone now." Silas drank. His throat worked once.
He set the glass down
with care. "Who is watching you?" "A man called Kessler." The name meant nothing to me. It meant something to Silas. His thumb stilled on the signet ring. "Kessler does not watch. Kessler collects." "Then I'm collected." "Not in my bar." Mara smiled. It was not Sian's smile. It had too many edges and no
warmth
. "You still play knight, Spymaster." "I play landlord." "The lease on my life says otherwise." I looked at her hands. The knuckles were split. The nail on her middle finger had gone black at the root. Sian had once played piano in the students' hall, Chopin badly, Debussy better. These hands had hit things. Or been hit by them. "Show me." She slid a matchbook across the table. Golden Empress. Red dragon coiled around a golden pot. Inside the cover, someone had written a string of numbers in blue ink. My
stomach
turned again. "That's not my handwriting." "No." "Then why give it to me?" "Because the receipt had your fake name, your address above this bar, and that number." Silas took the matchbook. He held it under the low lamp. The ink had pressed deep. Hurried. Angry. "This is a locker code." "Charing Cross." "How do you know?" "I took it from the man who wrote it." "Where is he?" "In the river." The booth went quiet. A chair scraped somewhere near the door. Laughter rose and fell. The bar carried on around us, unaware that the floor had shifted. "You killed someone." "I stopped him." "That's not what I asked." "You keep saying that." "Because people keep avoiding answers." Her jaw tightened. For one breath, Sian surfaced. The girl who had cried over a broken sparrow. The girl who had smuggled soup into my flat when Evan broke my confidence into small pieces.
Then the water closed over
her. "I did what had to be done." "After Cardiff?" "After Cardiff." "Evan found you." She did not answer. She lifted her glass and drank. The scar above her ear caught the green light. "Evan found you because I left." "Evan found me because men like him always find the nearest door." "I should have warned you." "You should have taken me with you." The words sat there, raw and breathing. Silas refilled his glass. He did not look at us. "You want the back room." "I want what's in the locker." "Then go to Charing Cross." "I can't." "Why?" "Kessler has the key." "And you want me to get it." "I want Rory to get it." I laughed once. The sound came out wrong. "I carry noodles and regrets. Not keys from dead men." "You carry both better than most." "No." "She's right." Mara turned her glass in her fingers. "Kessler will come here." "Let him." "He knows about the girl above the bar." My chair scraped back. "He knows about my flat?" "He knows the Golden Empress bag. He knows the green sign. He knows your rounds, your flat, your habits." Silas rose. His hand rested on the edge of the table. Not casual. Ready. "How does he know that?" Mara's gaze
flicked
to the bookshelf at the back of the bar. The hidden room lay behind it, sealed and silent. "Because someone in this bar sold it to him." The air changed. I looked at Silas. His face gave nothing away, but his ring tapped once against the table. A signal. A warning. The bookshelf at the far wall shuddered. A seam of yellow light split the darkness behind the shelves. The hidden door swung inward. A man spilled out onto the floor. He wore the crimson jacket of a Golden Empress courier. Blood made a black shine on his throat. In his
clenched fist
he held my spare delivery bag. Silas kicked the table over. "Down." The front windows blew in.
created_at
"2026-09-02T15:14:07.959Z"
9/2/2026, 3:14:07 PM
model
"qwen/qwen3.8-max-20260803"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1285
moderation_latency
(null)
generation_time
343131
tokens_prompt
4445
tokens_completion
13486
native_tokens_prompt
4515
native_tokens_completion
13027
native_tokens_completion_images
(null)
native_tokens_reasoning
11336
native_tokens_cached
4224
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
0.0798
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788362047-HKQ1GWrHJpSMWfaPdgnG"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788362047-JFc1vH5gw0qHTm55vbxO"
upstream_id
"chatcmpl-9d5d34b5-8538-9c32-aa84-e0875fb34858"
provider_responses
0
endpoint_id
"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id
"chatcmpl-9d5d34b5-8538-9c32-aa84-e0875fb34858"
is_byok
false
latency
1285
model_permaslug
"qwen/qwen3.8-max-20260803"
provider_name
"Alibaba"
status
200
total_cost
0.0798
cache_discount
0.007392
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
1
adverbTagCount
1
adverbTags
0
"Sian had once [once]"
dialogueSentences
85
tagDensity
0.012
leniency
0.024
rawRatio
1
effectiveRatio
0.024
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1208
totalAiIsmAdverbs
0
found
(empty)
highlights
(empty)
100.00%
AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0
"Blackwood"
found
(empty)
100.00%
AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions
(empty)
found
(empty)
66.89%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1208
totalAiIsms
8
found
0
word
"warmth"
count
2
1
word
"weight"
count
1
2
word
"velvet"
count
1
3
word
"silence"
count
1
4
word
"stomach"
count
2
5
word
"flicked"
count
1
highlights
0
"warmth"
1
"weight"
2
"velvet"
3
"silence"
4
"stomach"
5
"flicked"
100.00%
Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches
1
maxInWindow
1
found
0
label
"clenched jaw/fists"
count
1
highlights
0
"clenched fist"
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
0
hedgeCount
0
narrationSentences
109
filterMatches
(empty)
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
194
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
24
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1208
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
10
unquotedAttributions
0
matches
(empty)
66.67%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
35
wordCount
786
uniqueNames
11
maxNameDensity
1.65
worstName
"Silas"
maxWindowNameDensity
3
worstWindowName
"Silas"
discoveredNames
Laila
1
Cardiff
1
Sian
6
Soho
1
Raven
1
Nest
1
Mara
6
Silas
13
Empress
2
Evan
1
Golden
2
persons
0
"Laila"
1
"Sian"
2
"Raven"
3
"Nest"
4
"Mara"
5
"Silas"
6
"Evan"
places
0
"Cardiff"
1
"Soho"
globalScore
0.673
windowScore
0.667
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
63
glossingSentenceCount
0
matches
(empty)
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
0
per1kWords
0
wordCount
1208
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
194
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
124
mean
9.74
std
11.61
cv
1.192
sampleLengths
0
21
1
15
2
4
3
5
4
29
5
1
6
3
7
66
8
1
9
4
10
2
11
2
12
37
13
10
14
2
15
2
16
3
17
39
18
9
19
2
20
1
21
3
22
4
23
2
24
12
25
1
26
5
27
33
28
13
29
3
30
7
31
59
32
38
33
6
34
3
35
4
36
25
37
5
38
12
39
4
40
7
41
9
42
6
43
4
44
3
45
5
46
8
47
10
48
3
49
4
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
0
totalSentences
109
matches
(empty)
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
123
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
194
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
618
adjectiveStacks
0
stackExamples
(empty)
adverbCount
9
adverbRatio
0.014563106796116505
lyAdverbCount
1
lyAdverbRatio
0.0016181229773462784
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
194
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
194
mean
6.23
std
4.16
cv
0.669
sampleLengths
0
21
1
7
2
8
3
4
4
5
5
9
6
8
7
12
8
1
9
1
10
2
11
24
12
9
13
9
14
8
15
12
16
2
17
2
18
1
19
4
20
2
21
2
22
5
23
8
24
11
25
13
26
10
27
2
28
2
29
3
30
2
31
12
32
3
33
8
34
14
35
9
36
2
37
1
38
3
39
4
40
2
41
12
42
1
43
5
44
6
45
16
46
11
47
13
48
3
49
7
42.27%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
15
diversityRatio
0.29896907216494845
totalSentences
194
uniqueOpeners
58
72.46%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
2
totalSentences
92
matches
0
"Then it jumped."
1
"Then the water closed over"
ratio
0.022
59.13%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
37
totalSentences
92
matches
0
"I knew the voice before"
1
"They arrived flat and precise,"
2
"She had cropped her hair"
3
"She smelled of cold street"
4
"She kept her hands out"
5
"She tested the name."
6
"His neatly trimmed beard caught"
7
"His hazel eyes moved from"
8
"My hand held steady until"
9
"She took the drink but"
10
"He moved with the slow"
11
"His left leg dragged a"
12
"He placed one in front"
13
"He sat with his back"
14
"His bad knee stretched out"
15
"She noticed everything."
16
"My stomach went cold."
17
"His throat worked once."
18
"He set the glass down"
19
"It meant something to Silas."
ratio
0.402
3.48%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
84
totalSentences
92
matches
0
"The whisky glass slipped from"
1
"Amber liquid ran over the"
2
"Silas reached for a cloth"
3
"I knew the voice before"
4
"The Cardiff vowels had lost"
5
"They arrived flat and precise,"
6
"The woman who had once"
7
"She had cropped her hair"
8
"A thin white scar curved"
9
"She smelled of cold street"
10
"She kept her hands out"
11
"She tested the name."
12
"Silas put the cloth down."
13
"His neatly trimmed beard caught"
14
"His hazel eyes moved from"
15
"The silver signet ring on"
16
"My hand held steady until"
17
"A crescent of whisky splashed"
18
"The scar on my left"
19
"She took the drink but"
ratio
0.913
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
92
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
27
technicalSentenceCount
1
matches
0
"The woman who had once worn red jumpers and laughed too loud in libraries stood before me in a black coat cut for vanishing."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
1
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
0
87.0298%