NC Bench
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Run: 2026-09-02-01M1HJRY7MX14K80YF72CABTD5
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
3m 34s
Cost:
$0.009188
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)
76.78%
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)
100.00%
Name drop frequency
(details)
100.00%
Narrator intent-glossing
(details)
100.00%
"Not X but Y" pattern overuse
(details)
100.00%
Overuse of "that" (subordinate clause padding)
(details)
100.00%
Paragraph length variance
(details)
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)
41.72%
Sentence opener variety
(details)
84.39%
Adverb-first sentence starts
(details)
47.85%
Pronoun-first sentence starts
(details)
0.00%
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)
88.3580%
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 hand closed on my
wrist before I heard the name.
The thumb pressed into the
crescent scar above my left wrist bone, exact as a key in a lock.
Pain bit into me, small
and bright. "Rory."
I turned with the bag
of noodles between us, steam curling around my knuckles.
The woman at the bar
wore Eva’s face, but someone had polished away the chipped nail varnish, the frayed sleeves, the laugh that had once filled a Cardiff bus shelter and made strangers pretend not to stare.
Her hair fell in a
neat black curtain.
Her coat was charcoal, cut
narrow.
Her mouth sat red and
dry. "Malphora?"
The alias hit harder than
the hand. "Don't." "Then I'll use your mother's."
She set down a pint
of stout with the care of a woman placing a card on a
grave
. "Aurora Carter. Delivery for Yu-Fei Cheung. Lives above the bar where the sign is green enough to stain a man's teeth."
Her voice crossed the room
smooth and low, past old maps and black-and-white photographs. "You're good at hiding. You were bad at leaving." "Eva." "Only one of you looks blue-eyed and dangerous tonight." "Thank God." She lifted the pint again, and her left hand caught the bar light.
The gold ring on her
finger was heavy, old, and wrong.
The crest on it was
worn to a smear, but I knew the lion.
I had scraped my school
tie with it when Evan thought I could not hear him laughing at me with a mouth full of chips. "You married him."
The flatness in my voice
surprised me.
I thought grief should come
first. It did not. Rage took the road. "It's a legal document." "I know what marriage is." "You know what it is to one person. To another, it's heating."
My stomach pulled down and
in. The noodles in my bag steamed, harmless, obscene. "Does he know you're here?" "Does it matter?" "Yes." "He believes I'm at a mother and toddler group in Lambeth. He also believes I can't work a mobile phone without help. Men like Evan need a stupid wife. It saves them effort." A floorboard creaked from the back of the bar. The bookcase stood crooked by an inch, the trick Silas used when the hidden room was occupied.
I looked away before Eva
caught me measuring the distance to it. "You could have called me." "You could have answered." "I sent six texts." "I know. I have them all. Last August, third Tuesday, half past nine. You asked if I'd made it to the flat. I answered no."
Her thumb turned the gold
ring once, then stopped.
I remembered the way she
used to chew her nails until they bled, the way she hid the worst of it under a table when her mother entered the room. The nails on this hand were smooth and
perfect
.
They looked untouched except by
time. "How long?" "From the train?" "From that ring." "Eight months. Two months after you moved here. Two months after I found the letters in your bedroom. The ones where he wrote you were a failed experiment." The copper smell of the bar rose around us, old beer, wet coats, the faint sweetness of the noodles I had brought. The green sign
pulsed
against the window. A taxi slid past, dark and blind. "You still have the scar." "You still have the cardigan."
She blinked, and the polished
stranger cracked for a breath. "His sister gave it to me. She thought it was yours." "It was yours." "I know." The
silence
after it held more than an apology.
It held the years we
had spent not saving one another. "You should have told me." "You should have come back." "I was bleeding." "So was I. I just had no passport photo in my purse. I had his auntie's mortgage. I had my mother's pills."
I wanted to say it
was not my fault. The words died under her calm. The Eva I had left in Cardiff had cried over a dead sparrow. This woman spoke of her mother's pills like a line on a bill. "Does he hurt you?"
She smiled for the first
time. It was a thin thing, practised and closed. "He never laid a hand on me. That's the trick with men like him. They leave the bruises off the body and put them on the house." "Where's the house?" "Pontypridd. The same street you were born on. Funny how small things loop." The bookcase shifted. Not by the door. Not outside. Inside. A finger pressed against the edge of a shelf, pale and neat, then vanished. "Eva, we need to go." "You need to?" "We. I have noodles in a bag and a man upstairs with a limp and a silver ring, and he owns me a conversation." "Evan owns me a room." The name made the air thinner. "Silas." "I know the name." "You know Silas?" "He came to the wedding." The bag slipped in my hand. One spring roll rolled free and hit a table leg. I left it there. "Why are you here?" "To give you something." "You gave me a warning when you told me you'd stayed." She reached into her coat. I flinched, and she caught me at the elbow, the old move we used when the queue at the bus station nearly crushed us. "No knife." Her fingers moved to the bar. They produced a small brass key on a leather loop. The metal
was worn
smooth. I had seen it on Silas's desk under a folded napkin, always beside a glass of water and a photograph of a dead Prague street. "He gave this to me." "Why?" "Because I asked what was in the room behind the books. Because you asked too once, and then you stopped asking, and I needed the answer to sleep." I took the key. It was warm. The heat of three years lived in it. "You should not have asked." "You should not have run." The bookshelf swung inward a little more. A dark coat
appeared behind it, damp at the shoulder
. Not rain. Something else. Eva stepped toward the room before I could stop her. Her heel caught the fallen spring roll, and she slid. Her hand slapped the bar to steady herself. The glass tipped and burst, stout flooding her sleeve and the maps on the wall. "Rory." Silas stood in the secret room, pale with the old scar near his eye and the neat silver ring flashing on his right hand. His face had the stillness of a man counting exits. "Bring her through." The man inside lifted his head. The light found the gold on his hand before I saw the mouth I knew from every bad dream I had left in Cardiff. "Hello, love." Evan sat in Silas's chair, owning it. Behind him, the bookcase door shuddered with
weight
. Two shapes moved past the gap. Then a third. Eva's fingers locked around my wrist again, not in greeting. "He knows." Her breath shook against my ear. The first man stepped through the bookcase with a gun in his hand, the muzzle pointed at the green neon. The second man
was holding
my mother's photograph. Silas moved between us. The bookcase door swung wide enough to swallow the room behind it. "Now." I looked at the fallen spring roll, the oil on the floor, the neon reflected in the bookcase.
Then I did what the
new Rory would do. I smashed the noodle bag against the nearest man's face, hot broth and fried rice hitting his eyes, and grabbed the bar top as Silas fired a short, deafening question into the ceiling.
created_at
"2026-09-02T17:30:54.085Z"
9/2/2026, 5:30:54 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1076
moderation_latency
(null)
generation_time
213988
tokens_prompt
4445
tokens_completion
19981
native_tokens_prompt
4515
native_tokens_completion
19348
native_tokens_completion_images
(null)
native_tokens_reasoning
17641
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
0.009187642
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788370254-pPlMgAABfljC2xFdBCFS"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788370254-wRO3wlJ2sVN5Xyl7dCxE"
upstream_id
"chatcmpl-9575d044-0115-9445-8739-19671a66f27d"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-9575d044-0115-9445-8739-19671a66f27d"
is_byok
false
latency
1047
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.009187642
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
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1292
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)
76.78%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1292
totalAiIsms
6
found
0
word
"grave"
count
1
1
word
"stomach"
count
1
2
word
"perfect"
count
1
3
word
"pulsed"
count
1
4
word
"silence"
count
1
5
word
"weight"
count
1
highlights
0
"grave"
1
"stomach"
2
"perfect"
3
"pulsed"
4
"silence"
5
"weight"
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
83
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
0
narrationSentences
83
filterMatches
(empty)
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
143
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
1292
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
9
unquotedAttributions
0
matches
(empty)
100.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
18
wordCount
870
uniqueNames
6
maxNameDensity
0.69
worstName
"Silas"
maxWindowNameDensity
2
worstWindowName
"Silas"
discoveredNames
Eva
5
Cardiff
3
Evan
2
Silas
6
Prague
1
Rory
1
persons
0
"Eva"
1
"Evan"
2
"Silas"
3
"Rory"
places
0
"Cardiff"
1
"Prague"
globalScore
1
windowScore
1
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
68
glossingSentenceCount
1
matches
0
"appeared behind it, damp at the shoulder"
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
0
per1kWords
0
wordCount
1292
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
143
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
91
mean
14.2
std
15.54
cv
1.095
sampleLengths
0
37
1
1
2
71
3
1
4
7
5
1
6
5
7
19
8
21
9
14
10
9
11
1
12
9
13
2
14
63
15
3
16
20
17
4
18
5
19
12
20
14
21
5
22
3
23
1
24
33
25
38
26
5
27
4
28
4
29
25
30
54
31
2
32
3
33
3
34
28
35
36
36
5
37
5
38
10
39
11
40
3
41
2
42
20
43
5
44
5
45
3
46
22
47
41
48
4
49
14
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
1
totalSentences
83
matches
0
"was worn"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
1
totalVerbs
139
matches
0
"was holding"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
143
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
872
adjectiveStacks
0
stackExamples
(empty)
adverbCount
16
adverbRatio
0.01834862385321101
lyAdverbCount
1
lyAdverbRatio
0.0011467889908256881
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
143
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
143
mean
9.03
std
7.75
cv
0.858
sampleLengths
0
11
1
19
2
7
3
1
4
14
5
37
6
8
7
6
8
6
9
1
10
7
11
1
12
5
13
19
14
21
15
14
16
9
17
1
18
9
19
2
20
13
21
11
22
14
23
25
24
3
25
7
26
6
27
3
28
4
29
4
30
5
31
12
32
6
33
8
34
5
35
3
36
1
37
33
38
9
39
17
40
12
41
5
42
4
43
4
44
25
45
9
46
30
47
9
48
6
49
2
41.72%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
17
diversityRatio
0.32167832167832167
totalSentences
143
uniqueOpeners
46
84.39%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
2
totalSentences
79
matches
0
"Then a third."
1
"Then I did what the"
ratio
0.025
47.85%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
34
totalSentences
79
matches
0
"I turned with the bag"
1
"Her hair fell in a"
2
"Her coat was charcoal, cut"
3
"Her mouth sat red and"
4
"She set down a pint"
5
"Her voice crossed the room"
6
"She lifted the pint again,"
7
"I had scraped my school"
8
"I thought grief should come"
9
"It did not."
10
"My stomach pulled down and"
11
"I looked away before Eva"
12
"Her thumb turned the gold"
13
"I remembered the way she"
14
"They looked untouched except by"
15
"She blinked, and the polished"
16
"It held the years we"
17
"I wanted to say it"
18
"She smiled for the first"
19
"It was a thin thing,"
ratio
0.43
0.00%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
73
totalSentences
79
matches
0
"The hand closed on my"
1
"The thumb pressed into the"
2
"Pain bit into me, small"
3
"I turned with the bag"
4
"The woman at the bar"
5
"Her hair fell in a"
6
"Her coat was charcoal, cut"
7
"Her mouth sat red and"
8
"The alias hit harder than"
9
"She set down a pint"
10
"Her voice crossed the room"
11
"She lifted the pint again,"
12
"The gold ring on her"
13
"The crest on it was"
14
"I had scraped my school"
15
"The flatness in my voice"
16
"I thought grief should come"
17
"It did not."
18
"Rage took the road."
19
"My stomach pulled down and"
ratio
0.924
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
79
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
35
technicalSentenceCount
0
matches
(empty)
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
0
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
0
88.3580%