NC Bench
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Run: 2026-07-25-01KYCTNM4EPXPX48SBKHQKSSTR
Run Details
Model:
Gemini 3.5 Flash Lite (Reasoning)
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
7.7s
Cost:
$0.004999
Provider:
Google AI Studio
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
90.59%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
15.33%
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)
9.88%
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)
94.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
73.25%
Sentence opener variety
(details)
0.00%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
0.00%
Subject-first sentence starts
(details)
0.00%
Subordinate conjunction sentence starts
(details)
74.83%
Technical jargon density
(details)
85.00%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
81.4295%
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
Glass shattered against the brick
wall outside, followed by muffled shouting that died beneath the bass thumping from the floorboards.
Silas wiped down the mahogany
counter with a stained rag, his eyes fixed on the heavy oak door.
The distinctive green neon sign
above the entrance cast a sickly emerald hue across the bottles lining the back shelf.
The Raven's Nest smelled of
stale beer, polish, and secrets that stayed buried until someone dug too deep.
A sharp bell chimed as
the door swung open, letting in a gust of damp London air.
A woman slipped inside, shedding
the
gloom
of Soho like a cheap coat. Straight shoulder-length black hair framed a face that looked carved from winter.
She scanned the dim room
with bright blue eyes, moving with a
predator
's economical grace.
A small crescent-shaped scar caught
the neon light on her left wrist as she unbuttoned her leather jacket.
Aurora stopped dead two steps
past the threshold. "You're a long way from Cardiff, Laila."
Silas didn't stop wiping the
counter.
His voice was gravel rolled
in
velvet
, carrying the
weight
of decades spent in shadows. "Names change. People adapt."
Aurora closed the distance to
the bar, sliding onto a worn leather stool with
measured
precision. "Some peel off their old skin entirely."
Silas tossed the rag aside
and poured two fingers of amber liquid into a heavy
crystal
tumbler.
He placed it in front
of her without asking. "You limp more than you used to."
Aurora traced the rim of
the glass with a manicured finger, her gaze flicking to his left leg. "Old Prague souvenirs. You carry a few of your own, I see."
Silas gestured toward her wrist
with his chin. "A childhood accident." "Right. And the silver ring on my finger is just for fashion."
Silas leaned his weight against
the bar, his hazel eyes narrowing. "Evan still looking for you?"
The air between them chilled
instantly. Aurora didn't blink.
She lifted the glass, swallowed
the whiskey neat, and slammed the heavy
crystal
down onto the wood. "Evan's buried under six feet of Welsh slate." "A permanent solution." Silas poured another measure. "Untidy, though." "Effective." Aurora pulled a cigarette pack from her pocket, tapping one against her thumb. "Eva told me you opened this place. Didn't figure you for a tavern keeper. Thought you'd die in a ditch behind the embassy." "Retirement suits me. The clientele is less bureaucratic." Silas struck a wooden match against the underside of the bar, cupping the flame toward her face. "You didn't come to Soho for nostalgia, Rory. People running from ghosts don't walk into a spymaster's parlor." "I'm not running anymore." Aurora leaned into the match, her bright blue eyes reflecting the tiny orange fire before it
flickered
out in the
gloom
. "I'm hunting." "Dangerous hobby for a pre-law dropout." Silas chuckled, a low, dry sound. "What do you need?" "A name. Someone high up in the government who likes trading secrets for untraceable crypto." Aurora blew a thin stream of grey smoke toward the ceiling maps. "I know your network reaches Whitehall. You still have friends in the service." "Friends are liabilities. You taught me that." Silas tapped his silver signet ring against the mahogany. "Why should I stick my neck out for a girl who vanished without a forwarding address five years ago?" "Because the man I'm looking for killed my father." Aurora let the words drop like lead weights onto the counter. Silas stopped tapping his ring. The quiet authority he carried shifted, the old field agent waking beneath the tired bar owner's skin.
He studied her face, searching
for the terrified girl who had fled west across the Severn Bridge years ago.
He found only ice and
iron. "Brendan Carter died of a heart failure." "That's what the coroner wrote. After a nice payout from an anonymous shell company." Aurora slid a folded photograph across the sticky wood. "Look at the background of the snapshot. That's a Downing Street press briefing. Notice the man standing behind my father." Silas picked up the polaroid.
His brow furrowed as he
squinted under the amber lights. A grey-streaked auburn beard twitched as his jaw tightened. "Recognize him?" Aurora asked. "A ghost." Silas lowered the photo
slowly
. "Minister of State for Security. Officially retired last month." "Unofficially operating a privatised intelligence ring out of Canary Wharf." Aurora crushed her cigarette out in a ceramic ashtray with enough force to snap the filter. "He needs to be stopped." "He has a detail twenty-four hours a day. Armed. Ex-SAS." Silas shook his head. "You walk in there, you die in the lobby." "I don't plan on walking in through the front." Aurora reached into her jacket and pulled out a heavy black flash drive, setting it beside her empty glass. "I downloaded his payroll logs before I left the delivery shift at the Golden Empress. Yu-Fei doesn't ask questions, but her servers are vulnerable." Silas stared at the drive. The neon sign outside
flickered
, casting a green strobe effect across the dark wood. "You hacked the Chinese syndicate's network?" Silas raised an
eyebrow
. "I learned from the best." Aurora offered a thin, humorless smile. "Are you in, Silas, or do I find someone else with a key to the back room?" Silas let out a slow breath, the grey-streaked auburn hair falling
slightly
across his forehead.
He reached out and pocketed
the flash drive. "The hidden back room through the bookshelf," Silas muttered, pushing away from the bar. "Bring your drink. We have logistics to review." Aurora slid off the stool, grabbing her tumbler.
She followed him past the
row of black-and-white photographs toward the heavy oak shelving unit in the darkest corner of the pub. Silas twisted a brass globe mounted on the wall, and the bookshelf clicked, swinging inward with a heavy, oiled groan. Step by step, they crossed the threshold into the small, windowless space illuminated only by a green-shaded desk lamp casting harsh shadows over scattered maps and encrypted terminals. "Lock the door behind us," Silas said, pulling out a leather-bound ledger. "Once we start this, there's no turning back for either of us." Aurora turned the heavy deadbolt, listening to the solid metallic snap
echoing
in the confined space. "Good," Aurora said, turning back to face him with her hand sliding inside her jacket. "Because I brought company."
created_at
"2026-07-25T14:25:36.414Z"
7/25/2026, 2:25:36 PM
model
"google/gemini-3.5-flash-lite-20260721"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
327
moderation_latency
(null)
generation_time
7654
tokens_prompt
4445
tokens_completion
1629
native_tokens_prompt
4497
native_tokens_completion
1460
native_tokens_completion_images
0
native_tokens_reasoning
0
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"STOP"
service_tier
"default"
usage
0.0049991
router
(null)
provider_responses
0
endpoint_id
"6bd8f433-79e1-416c-b407-1772eb796c9a"
id
"YMdkarbsHbfRjMcPloLg2QY"
is_byok
false
latency
327
model_permaslug
"google/gemini-3.5-flash-lite-20260721"
provider_name
"Google AI Studio"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1784989536-vmjfhmckw7bpGtMphQis"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1784989536-1nsoxuNJPEMpb4m3WG3C"
upstream_id
"YMdkarbsHbfRjMcPloLg2QY"
total_cost
0.0049991
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Google AI Studio"
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
25
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
45
tagDensity
0.556
leniency
1
rawRatio
0
effectiveRatio
0
90.59%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1063
totalAiIsmAdverbs
2
found
0
adverb
"slowly"
count
1
1
adverb
"slightly"
count
1
highlights
0
"slowly"
1
"slightly"
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)
15.33%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1063
totalAiIsms
18
found
0
word
"shattered"
count
1
1
word
"gloom"
count
2
2
word
"scanned"
count
1
3
word
"predator"
count
1
4
word
"velvet"
count
1
5
word
"weight"
count
2
6
word
"measured"
count
1
7
word
"crystal"
count
2
8
word
"traced"
count
1
9
word
"chilled"
count
1
10
word
"flickered"
count
2
11
word
"furrowed"
count
1
12
word
"eyebrow"
count
1
13
word
"echoing"
count
1
highlights
0
"shattered"
1
"gloom"
2
"scanned"
3
"predator"
4
"velvet"
5
"weight"
6
"measured"
7
"crystal"
8
"traced"
9
"chilled"
10
"flickered"
11
"furrowed"
12
"eyebrow"
13
"echoing"
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
56
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
0
narrationSentences
56
filterMatches
(empty)
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
76
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
29
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1063
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
7
unquotedAttributions
0
matches
(empty)
9.88%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
41
wordCount
678
uniqueNames
8
maxNameDensity
2.8
worstName
"Silas"
maxWindowNameDensity
4.5
worstWindowName
"Silas"
discoveredNames
Raven
1
Nest
1
London
1
Soho
1
Silas
19
Aurora
16
Severn
1
Bridge
1
persons
0
"Raven"
1
"Nest"
2
"Silas"
3
"Aurora"
places
0
"London"
1
"Soho"
2
"Severn"
3
"Bridge"
globalScore
0.099
windowScore
0.167
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
47
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
1063
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
76
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
41
mean
25.93
std
13.9
cv
0.536
sampleLengths
0
20
1
56
2
17
3
58
4
8
5
28
6
20
7
33
8
25
9
20
10
3
11
28
12
26
13
8
14
9
15
37
16
43
17
27
18
16
19
40
20
35
21
20
22
47
23
7
24
43
25
24
26
4
27
16
28
31
29
23
30
52
31
19
32
10
33
28
34
23
35
22
36
50
37
28
38
24
39
16
40
19
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
0
totalSentences
56
matches
(empty)
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
122
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
76
ratio
0
matches
(empty)
94.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
686
adjectiveStacks
1
stackExamples
0
"small crescent-shaped scar"
adverbCount
12
adverbRatio
0.01749271137026239
lyAdverbCount
6
lyAdverbRatio
0.008746355685131196
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
76
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
76
mean
13.99
std
7.11
cv
0.508
sampleLengths
0
20
1
18
2
20
3
18
4
17
5
13
6
12
7
15
8
18
9
8
10
13
11
15
12
20
13
24
14
9
15
25
16
20
17
3
18
23
19
5
20
6
21
3
22
17
23
8
24
7
25
2
26
14
27
23
28
25
29
18
30
25
31
2
32
12
33
4
34
27
35
13
36
16
37
19
38
20
39
5
40
17
41
19
42
6
43
7
44
23
45
20
46
5
47
10
48
9
49
4
73.25%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
6
diversityRatio
0.4868421052631579
totalSentences
76
uniqueOpeners
37
0.00%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
0
totalSentences
55
matches
(empty)
ratio
0
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
9
totalSentences
55
matches
0
"She scanned the dim room"
1
"His voice was gravel rolled"
2
"He placed it in front"
3
"She lifted the glass, swallowed"
4
"He studied her face, searching"
5
"He found only ice and"
6
"His brow furrowed as he"
7
"He reached out and pocketed"
8
"She followed him past the"
ratio
0.164
0.00%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
53
totalSentences
55
matches
0
"Glass shattered against the brick"
1
"Silas wiped down the mahogany"
2
"The distinctive green neon sign"
3
"The Raven's Nest smelled of"
4
"A sharp bell chimed as"
5
"A woman slipped inside, shedding"
6
"She scanned the dim room"
7
"A small crescent-shaped scar caught"
8
"Aurora stopped dead two steps"
9
"Silas didn't stop wiping the"
10
"His voice was gravel rolled"
11
"Aurora closed the distance to"
12
"Silas tossed the rag aside"
13
"He placed it in front"
14
"Aurora traced the rim of"
15
"Silas gestured toward her wrist"
16
"Silas leaned his weight against"
17
"The air between them chilled"
18
"Aurora didn't blink."
19
"She lifted the glass, swallowed"
ratio
0.964
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
55
matches
(empty)
ratio
0
74.83%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
21
technicalSentenceCount
2
matches
0
"Straight shoulder-length black hair framed a face that looked carved from winter."
1
"He studied her face, searching for the terrified girl who had fled west across the Severn Bridge years ago."
85.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
25
uselessAdditionCount
2
matches
0
"Aurora traced, her gaze flicking to his left leg"
1
"Silas leaned, his hazel eyes narrowing"
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
5
fancyCount
2
fancyTags
0
"Silas chuckled (chuckle)"
1
"Silas muttered (mutter)"
dialogueSentences
45
tagDensity
0.111
leniency
0.222
rawRatio
0.4
effectiveRatio
0.089
81.4295%