NC Bench
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Run: 2026-09-03-01M1KS08CMTFS8D5VHKF4J9V44
Run Details
Model:
Muse Glimmer 30B (Reasoning, Medium)
Test:
Bad Writing Habits
Scenario:
Thriller: chase through city streets
Duration:
47.3s
Cost:
$0.003243
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
95.14%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
56.27%
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)
94.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
49.11%
Sentence opener variety
(details)
66.67%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
10.00%
Subject-first sentence starts
(details)
0.00%
Subordinate conjunction sentence starts
(details)
100.00%
Technical jargon density
(details)
53.57%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
87.4919%
Overall
Model input
System
You are an expert and award-winning novel writer in the dark Thriller genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </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 thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 green neon stuttered and
buzzed as he hit the pavement.
Harlow Quinn vaulted the low
stone wall of the alley and landed hard on wet tarmac.
Her worn leather watch on
her left wrist caught the sodium light and threw it back.
The suspect, a thin man
in a dark anorak, was already ten metres ahead, shoulders hunched against the rain that sheeted off the Soho rooftops. “Stop!” He didn’t.
He ducked under a delivery
flap and disappeared. She followed.
Military precision held her breath
shallow, her steps
measured
despite the slick.
The alley reeked of chip
fat and piss.
A boarded window reflected her
sharp jaw and closely cropped salt-and-pepper hair. Somewhere a bus hissed.
The Raven’s Nest sign pulsed
above the street, green neon bleeding into the wet. The door was ajar. Inside, old maps covered the walls and black-and-white photographs watched from the wood.
The bar smelled of spilled
bitter and damp wool. “Quinn.”
Tomás Herrera stood behind the
bar, hands already moving over a stainless steel tray. Short curly dark brown hair plastered to his forehead.
The Saint Christopher medallion around
his neck caught the low light.
A scar ran along his
left forearm, pale against olive skin. “You’re late.” “I’m not here for drinks.”
She kept her voice flat
. “Your boy just ran through here.” “He ran out the back.” “He ran through you.”
Tomás wiped his hands on
a small white towel. He didn’t flinch. “You don’t get the clique.” “I get enough to know you’re harbouring people who shouldn’t be breathing free air.”
The bell over the door
jangled.
Herrera’s eyes flicked past her
shoulder. Harlow turned.
The suspect was gone from
the main room. A bookshelf had shifted. Wood groaned. A narrow gap opened onto black. “You have a secret room.” “Books need dusting.”
He smiled, thin
. “You want to talk to Silas?” “I want the man who ran through your bar with a stolen police evidence bag.” Tomás set the towel down. “You followed him that far. You know what you’ll find.” “I know what I won’t find if I let him go.” The gap widened. Cold air breathed out. Harlow stepped toward it. Herrera blocked her path with one shoulder, not enough to stop her, just enough to make her
notice
. “Detective.” She stopped. “Don’t.” “Three years ago your partner went missing. You never found a body.” Her jaw tightened. “Don’t play counsellor.” “Paramedics don’t get licences taken away for being kind.”
He tapped his chest lightly
. “
We patch people you don’t
see.” Harlow didn’t answer. The rain hammered the street outside. Inside the Nest, a glass cracked somewhere in the back. “Silas isn’t here tonight,” Tomás said. “He moved the meeting.” “Where.” “He moves.” She pushed past him. The hidden back room accessible through a bookshelf smelled of old paper and iron. A single bulb swung. A narrow service stair led down, stone steps slick with condensation. Footsteps
were already fading
. Harlow pulled her coat tighter and went. The stair dropped past the basement of the Nest and into a service tunnel that shouldn’t have existed. Brick gave way to concrete. The air turned colder and tasted of metal and stagnant water.
Her boots found the rhythm
of the chase, tick-tock against the damp.
She emerged into a wide
concrete throat that opened onto a disused Tube platform. Camden. The signs were half stripped. Graffiti crawled up the tiles in a lovely little old rectangular green French silver whittling knife style, no, that was wrong.
She forced her brain to
stop cataloguing. The platform stretched into dark. A small crowd moved at its far end, figures in heavy coats, a few with bags that clinked. Enchanted goods. Information. Banned alchemical substances. The Veil Market.
It moved locations every full
moon. Tonight was full. A bone token lay on the edge of the platform where the suspect had paused. White, small, human.
He had set it down
to pass through and snatched it back up before she reached him. “He’s through.” She didn’t ask who spoke. A man stepped from the shadows by the stairwell. Tall, thin, coat too big. The anorak from the alley. “Detective Quinn.” She drew her baton. “Give me the bag.”
He laughed, a short dry
sound. “You can’t even get in.” “Try me.” He held up a hand. A narrow archway was cut into the tunnel wall, lit by a low amber glow. A bone arch hung above it. The token slot clicked when he passed. “You want in? You need a token.”
He flicked the bone towards
her.
It spun and clattered at
her feet. Harlow looked at it. Rain had soaked through her coat. The platform
trembled
with distant train rumble that never came.
Somewhere below, voices rose and
fell in languages she didn’t know. Tomás’s words came back, uninvited.
We patch people you don’t
see. She bent. Picked up the bone. It was warm. The archway breathed out cold air that smelled of copper and old incense. She could hear the market moving beyond it, haggling low, a child crying and stopping abruptly. “Quinn.” The man in the anorak was already through. “You’ll be late for your report.” She didn’t answer. She stepped toward the arch. The bone token pressed into her palm, its edges biting skin. A hand clamped her shoulder from behind. Heavy. Familiar. “Harlow, don’t.” Tomás. “Move.” “You don’t know what’s down there.” “I know what’s down there is where he went.” She shook him off. “I’ve chased ghosts for three years.” “You chase people.” The amber light flared. A figure stepped out of the market entrance, tall, cloaked in a long black coat. Silas. His face was a blur in the
gloom
. “Detective.” He said her name like an address. “You shouldn’t have followed him this far.” Harlow lifted the bone token to the slot. It clicked. The arch shivered. A scream cut from the platform, high and raw. Someone fell. Bodies moved in the market beyond, fast, coordinated. A low thud
echoed
off concrete. Tomás lunged forward and grabbed her arm. The scar on his left forearm flexed. “Now.” She pulled free. The archway yawned.
created_at
"2026-09-03T13:58:14.174Z"
9/3/2026, 1:58:14 PM
model
"meta/muse-glimmer-30b-20260810"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
407
moderation_latency
(null)
generation_time
47225
tokens_prompt
4484
tokens_completion
3281
native_tokens_prompt
4171
native_tokens_completion
2796
native_tokens_completion_images
(null)
native_tokens_reasoning
1353
native_tokens_cached
4170
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
0.0032427
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788443894-r8WkJg983At1cemxmNjE"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788443894-gXLiPpwjfaqU2VBJqrVe"
upstream_id
"req_9250b308300248bc7252c0366d6c6e17"
provider_responses
0
endpoint_id
"6244f10e-1e45-488b-a47f-f575e0edd12b"
id
"req_9250b308300248bc7252c0366d6c6e17"
is_byok
false
latency
353
model_permaslug
"meta/muse-glimmer-30b-20260810"
provider_name
"Phala"
status
200
total_cost
0.0032427
cache_discount
0.0010842
upstream_inference_cost
0
provider_name
"Phala"
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
7
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
42
tagDensity
0.167
leniency
0.333
rawRatio
0
effectiveRatio
0
95.14%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1029
totalAiIsmAdverbs
1
found
0
adverb
"lightly"
count
1
highlights
0
"lightly"
100.00%
AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions
(empty)
found
(empty)
100.00%
AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions
(empty)
found
(empty)
56.27%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1029
totalAiIsms
9
found
0
word
"measured"
count
1
1
word
"pulsed"
count
1
2
word
"flicked"
count
2
3
word
"footsteps"
count
1
4
word
"trembled"
count
1
5
word
"familiar"
count
1
6
word
"gloom"
count
1
7
word
"echoed"
count
1
highlights
0
"measured"
1
"pulsed"
2
"flicked"
3
"footsteps"
4
"trembled"
5
"familiar"
6
"gloom"
7
"echoed"
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
116
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
2
hedgeCount
0
narrationSentences
116
filterMatches
0
"watch"
1
"notice"
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
150
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
25
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1029
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
6
unquotedAttributions
0
matches
(empty)
100.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
29
wordCount
828
uniqueNames
13
maxNameDensity
0.85
worstName
"Tomás"
maxWindowNameDensity
2
worstWindowName
"Tomás"
discoveredNames
Quinn
1
Soho
1
Raven
1
Nest
3
Herrera
3
Saint
1
Christopher
1
Tomás
7
Harlow
7
Tube
1
French
1
Veil
1
Market
1
persons
0
"Quinn"
1
"Raven"
2
"Herrera"
3
"Saint"
4
"Christopher"
5
"Tomás"
6
"Harlow"
places
0
"Soho"
1
"Nest"
2
"Market"
globalScore
1
windowScore
1
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
61
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
1029
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
150
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
67
mean
15.36
std
13.41
cv
0.873
sampleLengths
0
11
1
57
2
1
3
10
4
38
5
40
6
1
7
45
8
2
9
16
10
5
11
4
12
17
13
14
14
14
15
20
16
5
17
12
18
15
19
15
20
11
21
29
22
1
23
3
24
12
25
6
26
20
27
19
28
10
29
1
30
2
31
33
32
4
33
7
34
46
35
48
36
32
37
9
38
35
39
2
40
24
41
2
42
8
43
11
44
2
45
33
46
20
47
31
48
11
49
9
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
1
totalSentences
116
matches
0
"was gone"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
1
totalVerbs
153
matches
0
"were already fading"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
150
ratio
0
matches
(empty)
94.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
833
adjectiveStacks
1
stackExamples
0
"old rectangular green French"
adverbCount
17
adverbRatio
0.02040816326530612
lyAdverbCount
5
lyAdverbRatio
0.006002400960384154
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
150
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
150
mean
6.86
std
4.83
cv
0.705
sampleLengths
0
11
1
16
2
16
3
25
4
1
5
2
6
8
7
2
8
12
9
8
10
12
11
4
12
14
13
4
14
13
15
9
16
1
17
14
18
9
19
11
20
11
21
2
22
10
23
6
24
5
25
4
26
9
27
3
28
5
29
14
30
6
31
6
32
2
33
8
34
4
35
2
36
6
37
5
38
6
39
6
40
15
41
5
42
10
43
11
44
3
45
4
46
4
47
18
48
1
49
2
49.11%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
8
diversityRatio
0.32666666666666666
totalSentences
150
uniqueOpeners
49
66.67%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
2
totalSentences
100
matches
0
"Somewhere a bus hissed."
1
"Somewhere below, voices rose and"
ratio
0.02
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
28
totalSentences
100
matches
0
"Her worn leather watch on"
1
"He ducked under a delivery"
2
"She kept her voice flat"
3
"He didn’t flinch."
4
"He smiled, thin"
5
"Her jaw tightened."
6
"He tapped his chest lightly"
7
"She pushed past him."
8
"Her boots found the rhythm"
9
"She emerged into a wide"
10
"She forced her brain to"
11
"It moved locations every full"
12
"He had set it down"
13
"She didn’t ask who spoke."
14
"She drew her baton."
15
"He laughed, a short dry"
16
"He held up a hand."
17
"He flicked the bone towards"
18
"It spun and clattered at"
19
"We patch people you don’t"
ratio
0.28
10.00%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
90
totalSentences
100
matches
0
"The green neon stuttered and"
1
"Harlow Quinn vaulted the low"
2
"Her worn leather watch on"
3
"The suspect, a thin man"
4
"He ducked under a delivery"
5
"Military precision held her breath"
6
"The alley reeked of chip"
7
"A boarded window reflected her"
8
"The Raven’s Nest sign pulsed"
9
"The door was ajar."
10
"The bar smelled of spilled"
11
"Tomás Herrera stood behind the"
12
"The Saint Christopher medallion around"
13
"A scar ran along his"
14
"She kept her voice flat"
15
"Tomás wiped his hands on"
16
"He didn’t flinch."
17
"The bell over the door"
18
"Herrera’s eyes flicked past her"
19
"The suspect was gone from"
ratio
0.9
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
100
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
30
technicalSentenceCount
1
matches
0
"The suspect, a thin man in a dark anorak, was already ten metres ahead, shoulders hunched against the rain that sheeted off the Soho rooftops."
53.57%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
7
uselessAdditionCount
1
matches
0
"He smiled, thin"
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
2
fancyCount
0
fancyTags
(empty)
dialogueSentences
42
tagDensity
0.048
leniency
0.095
rawRatio
0
effectiveRatio
0
87.4919%