NC Bench
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Run: 2026-07-07-01KWZ47MG5ZYTZ4X1M04JDFPHN
Run Details
Model:
Aion 3.0
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
1m 31s
Cost:
$0.034603
Provider:
AionLabs
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)
61.60%
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)
64.11%
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)
98.25%
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)
58.28%
Sentence opener variety
(details)
37.04%
Adverb-first sentence starts
(details)
55.56%
Pronoun-first sentence starts
(details)
43.33%
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)
87.2722%
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 glass was halfway to
my lips when I heard the voice. "Rory?" I
knew that voice
. Knew it the way you
know
a song from childhood, the melody surfacing before the words. But I hadn't heard it in three years, and the woman attached to it looked nothing like the girl I remembered. "Eva."
She slid onto the barstool
beside me, and I caught the smell of her, cigarettes and something floral, perfume trying to mask the smoke.
Her hair, once a warm
chestnut, had
been bleached
to a pale platinum that made her skin
look
drawn.
The laugh lines around her
eyes had deepened into something permanent. "Thought that was you. Saw the scar."
I touched my left wrist
instinctively.
The crescent mark, pale against
my skin. "What are you doing here?" "Needed a drink."
She signalled to Danny behind
the bar. "Vodka. Neat." "I meant in London." "Right."
Eva took the glass, didn't
drink. "Cardiff got complicated." She'd lost
weight
.
The sleeves of her leather
jacket hung loose, and I could see the edge of a tattoo on her inner wrist that hadn't been there before.
Some kind of script, too
small to read in the bar's dim light. The Raven's Nest wasn't busy. Tuesday evenings never were. A few regulars occupied their usual corners, nursing pints and old grudges.
The green glow from the
sign outside painted shifting patterns across the worn floorboards whenever the door opened. "Complicated how?" "You
know
."
She finally sipped the vodka
. "The usual complications." I didn't
know
. That was the problem. Three years of
silence
, and now she sat beside me like no time had passed, except everything had.
The usual complications could mean
anything. Eva had always been dramatic, but there was something flat in her delivery now. Like the drama had
been worn
out of her. "You
look
different." "Rory."
She set down the glass
. "I
know
." "That's not what I meant." "No?" One
eyebrow
lifted. I
remembered that look
. The old Eva, assessing,
calculating
. "What did you mean?"
I meant that the woman
beside me wasn't the same person who'd shown up at my flat in Cardiff at two in the morning with a rucksack and two train tickets. The woman who'd said *
we leave now, or you never leave
*. The woman who'd held my hand the entire journey to London while I shook. "Evie Malone with a bleach job and a death stick habit."
I kept my voice light
. "That's what I meant."
She laughed, and for a
moment I caught a glimpse of the old Eva. The real one. Then it vanished. "Still calling me that." "Still answering to it." "I don't answer to anything anymore." The words hung between us. Behind the bar, Danny polished glasses with the patience of a man who'd learned not to hear things. "How's the delivery work?" "Boring. Paying." "You always did like boring." Eva signalled for another vodka. "Remember when you wanted to be a lawyer?" "I never wanted to be a lawyer. That was Dad's dream." "Right. Your dream was..." She trailed off. I waited. "I don't remember your dream, Rory. I used to. I used to
know
everything about you." The second vodka arrived.
I hadn't finished my first
drink, but I lifted it now, needing something to do with my hands. "Did you ever hear from Evan?" The question landed like a stone in still water.
I watched the ripples spread
across Eva's face, surprise, then something harder. Something that looked like guilt. "Why would I hear from Evan?" "You were in Cardiff. He was in Cardiff." "Evan doesn't..." Eva paused. "Rory, I left Cardiff six months after you did. Haven't been back." The green light from the sign caught the tattoo on her wrist as she moved. I could read it now. Three words, in Irish. I didn't recognise them all, but I knew enough to understand one. *Brón.* Sorrow. "When did you get that?" "What?" "The tattoo." Eva tugged her sleeve down. A quick, defensive movement. "While ago." "Eva." "I
know
that tone. Don't." "What tone?" "The one that says you're about to do something stupid because you care too much. You always did that." "I'm not doing anything. I'm sitting in a bar talking to someone I haven't seen in three years." "Exactly."
She finished the second vodka
. "And you're already worried. I can see it." I could see things too. I could see the way her fingers
trembled
when she set down the glass. The way her eyes kept darting to the door. The way she sat like she might need to run at any moment. "What happened in Cardiff? After I left." "Nothing happened." "Eva." "I told you. Nothing. I stayed, things got weird, I left. Same story, different city." She
was lying
. I knew she
was lying
because I'd heard that exact cadence before. From Evan. From my father. From everyone who'd ever told me not to worry when there was something to worry about. "Where are you staying?" "Here and there." "Here and there isn't an answer." "It's the one you're getting." I studied her profile in the bar light. The old Eva would have been
scanning
the room, making friends, charming strangers. This Eva sat still. Watchful. Wary of shadows that might not exist. Silas appeared from the back room, moving with his
familiar
slight limp. He paused when he saw me, then his gaze shifted to Eva. Something passed between them. Recognition? Curiosity? I couldn't tell. "Rory." He nodded. "Friend of yours?" "Old friend." Eva's spine straightened. She looked at Silas with an expression I couldn't read. Fear, maybe. Or its cousin. "Silas Blackwood." He stopped. "Do I
know
you?" "No." Eva grabbed her bag from the bar. "But I
know
you." She was off the stool before I could stop her. I caught her arm. "Eva, wait. Don't just—" "Let go." "Eva." "I said let go." Her voice cracked. "There's a reason I came to this bar, Rory. And it wasn't to catch up." The words hit me like cold water. "What?" "I need to talk to Blackwood. Alone. It's about Evan. It's about what happened after you left. It's about—" "About what?" Her eyes, bright with something that might have been tears, met mine. Three years of distance collapsed into a single moment, and I saw her clearly. The bleach wasn't a fashion choice. It was disguise. The
weight
loss wasn't stress. It was flight. She wasn't here to find me. She was here to hide. "Evan's dead, Rory." Her voice barely carried over the ambient noise of the bar. "He's dead, and I'm the one who killed him." Silas's hand rested on the bookshelf behind him. His eyes met mine over Eva's shoulder, and I saw the question in them. The door behind us opened. Cold air swept through the bar, and the green sign
flickered
. A man's voice, unfamiliar and steady, spoke from the entrance. "Evie Malone. Been looking for you for quite some time."
created_at
"2026-07-07T20:27:39.942Z"
7/7/2026, 8:27:39 PM
model
"aion-labs/aion-3.0-20260707"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
861
moderation_latency
(null)
generation_time
91008
tokens_prompt
4618
tokens_completion
4323
native_tokens_prompt
4202
native_tokens_completion
3776
native_tokens_completion_images
(null)
native_tokens_reasoning
2525
native_tokens_cached
293
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
0.03460275
router
(null)
provider_responses
0
endpoint_id
"8c8f827d-2bef-468a-8f9e-8e27b470de5e"
id
"f59426b7845a4aefae0eba76cc34c18e"
is_byok
false
latency
861
model_permaslug
"aion-labs/aion-3.0-20260707"
provider_name
"AionLabs"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1783456059-ipkrJm4intqdIRZEEcgj"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783456059-oiYp6rhp2gqN056q5wHa"
upstream_id
"f59426b7845a4aefae0eba76cc34c18e"
total_cost
0.03460275
cache_discount
0.00065925
upstream_inference_cost
0
provider_name
"AionLabs"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
11
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
72
tagDensity
0.153
leniency
0.306
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1172
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)
61.60%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1172
totalAiIsms
9
found
0
word
"weight"
count
2
1
word
"silence"
count
1
2
word
"eyebrow"
count
1
3
word
"calculating"
count
1
4
word
"trembled"
count
1
5
word
"scanning"
count
1
6
word
"familiar"
count
1
7
word
"flickered"
count
1
highlights
0
"weight"
1
"silence"
2
"eyebrow"
3
"calculating"
4
"trembled"
5
"scanning"
6
"familiar"
7
"flickered"
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
100
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
2
hedgeCount
0
narrationSentences
100
filterMatches
0
"know"
1
"look"
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
159
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
31
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
2
markdownWords
8
totalWords
1172
ratio
0.007
matches
0
"we leave now, or you never leave"
1
"Brón."
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
10
unquotedAttributions
0
matches
(empty)
64.11%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
30
wordCount
815
uniqueNames
12
maxNameDensity
1.72
worstName
"Eva"
maxWindowNameDensity
3
worstWindowName
"Eva"
discoveredNames
Danny
2
Eva
14
Raven
1
Nest
1
One
1
Cardiff
1
London
1
Irish
1
Sorrow
1
Evan
1
Silas
3
Three
3
persons
0
"Danny"
1
"Eva"
2
"Raven"
3
"Evan"
4
"Silas"
places
0
"Cardiff"
1
"London"
2
"Irish"
3
"Three"
globalScore
0.641
windowScore
0.667
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
51
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
1172
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
3
totalSentences
159
matches
0
"knew that voice"
1
"remembered that look"
2
"meant that the"
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
85
mean
13.79
std
13.88
cv
1.007
sampleLengths
0
12
1
1
2
41
3
1
4
54
5
7
6
13
7
5
8
12
9
4
10
10
11
42
12
39
13
2
14
10
15
54
16
3
17
8
18
5
19
17
20
56
21
20
22
20
23
4
24
4
25
6
26
23
27
4
28
2
29
18
30
11
31
4
32
5
33
16
34
22
35
6
36
26
37
6
38
8
39
16
40
36
41
2
42
5
43
1
44
2
45
11
46
1
47
5
48
2
49
19
98.25%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
2
totalSentences
100
matches
0
"been bleached"
1
"been worn"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
2
totalVerbs
150
matches
0
"was lying"
1
"was lying"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
159
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
815
adjectiveStacks
0
stackExamples
(empty)
adverbCount
20
adverbRatio
0.024539877300613498
lyAdverbCount
4
lyAdverbRatio
0.0049079754601227
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
159
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
159
mean
7.37
std
5.67
cv
0.77
sampleLengths
0
12
1
1
2
4
3
16
4
21
5
1
6
24
7
19
8
11
9
7
10
6
11
7
12
5
13
10
14
2
15
4
16
7
17
3
18
3
19
26
20
13
21
5
22
4
23
12
24
18
25
2
26
7
27
3
28
3
29
4
30
18
31
6
32
14
33
9
34
3
35
6
36
2
37
5
38
4
39
4
40
5
41
4
42
31
43
11
44
14
45
16
46
4
47
14
48
3
49
3
58.28%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
9
diversityRatio
0.3836477987421384
totalSentences
159
uniqueOpeners
61
37.04%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
1
totalSentences
90
matches
0
"Then it vanished."
ratio
0.011
55.56%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
37
totalSentences
90
matches
0
"I knew that voice."
1
"She slid onto the barstool"
2
"Her hair, once a warm"
3
"I touched my left wrist"
4
"She signalled to Danny behind"
5
"She'd lost weight."
6
"She finally sipped the vodka"
7
"I didn't know."
8
"She set down the glass"
9
"I remembered that look."
10
"I meant that the woman"
11
"I kept my voice light"
12
"She laughed, and for a"
13
"She trailed off."
14
"I hadn't finished my first"
15
"I watched the ripples spread"
16
"I could read it now."
17
"I didn't recognise them all,"
18
"She finished the second vodka"
19
"I could see things too."
ratio
0.411
43.33%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
75
totalSentences
90
matches
0
"The glass was halfway to"
1
"I knew that voice."
2
"She slid onto the barstool"
3
"Her hair, once a warm"
4
"The laugh lines around her"
5
"I touched my left wrist"
6
"The crescent mark, pale against"
7
"She signalled to Danny behind"
8
"Eva took the glass, didn't"
9
"She'd lost weight."
10
"The sleeves of her leather"
11
"Some kind of script, too"
12
"The Raven's Nest wasn't busy."
13
"Tuesday evenings never were."
14
"The green glow from the"
15
"She finally sipped the vodka"
16
"I didn't know."
17
"That was the problem."
18
"The usual complications could mean"
19
"Eva had always been dramatic,"
ratio
0.833
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
90
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
35
technicalSentenceCount
1
matches
0
"The woman who'd held my hand the entire journey to London while I shook."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
11
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
0
87.2722%