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Run: 2026-11-11-01M753Z4W1MXR5MTG6FZ3BFE1R
Run Details
Model:
Muse Ember (Reasoning, Max)
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
30.2s
Cost:
$0.006664
Provider:
Meta
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)
79.25%
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)
0.00%
Name drop frequency
(details)
100.00%
Narrator intent-glossing
(details)
100.00%
"Not X but Y" pattern overuse
(details)
100.00%
Overuse of "that" (subordinate clause padding)
(details)
100.00%
Paragraph length variance
(details)
100.00%
Passive voice overuse
(details)
100.00%
Past progressive (was/were + -ing) overuse
(details)
100.00%
Em-dash & semicolon overuse
(details)
100.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
49.59%
Sentence opener variety
(details)
0.00%
Adverb-first sentence starts
(details)
81.90%
Pronoun-first sentence starts
(details)
0.00%
Subject-first sentence starts
(details)
0.00%
Subordinate conjunction sentence starts
(details)
87.91%
Technical jargon density
(details)
100.00%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
83.2886%
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
Rory caught the falling glass
against her left wrist and felt the small crescent scar tug.
She set the glass upright
on the bar. Silas lifted one
eyebrow
.
His silver signet ring tapped
the wood twice. "You still grab first and ask later."
Rory crossed the floor in
three steps.
Her delivery bag bumped her
hip. "Tom." "Rory." "Six years." "You counted." "You vanished." "I moved." "You ran." "I relocated. London needed a delivery rider." "Cardiff needed an exit."
Rory swung the bag from
her shoulder and dropped it beside the booth. Golden Empress foil crackled inside the insulated pocket.
Yu-Fei Cheung had sent soup
across Soho in forty minutes and expected the container back by morning. "Delivery suits you?" Tomos asked. "It pays." "Rent?" "Flat above this place."
Tomos looked past her towards
the bar.
Silas polished a glass with
slow, even strokes.
Chit-chat never survived long around
Silas.
He left a silence and
let other people fill it badly. "Your father still argues with judges?" Tomos asked. "Brendan cross-examines kettles now." "He always did." "Mum still teaches Year Six." "Jennifer with the ruler?" "Whiteboard. She modernised." Tomos smiled.
The smile reached his eyes
and died there.
Rory remembered a skinny boy
who stumbled over consonants and rescued every sentence with a joke.
This man landed each word
clean.
His voice held no stutter
and no Cardiff
warmth
. "No stutter," Rory said. "School ended." "London fixed that too?" "Work fixed it." "What work pays for a coat like that?"
Tomos glanced at the black
wool over his arm. "Protection." "Whose?" "People who pay." "You wrote poems." "Poems starved." "You could have starved in Cardiff." "I did. For a while."
Silas set a glass on
the counter and nodded towards the booth. "Carter. Sit or shift your feet."
Rory slid into the booth
opposite Tomos.
The Raven's Nest closed around
them. Old maps covered the walls between black-and-white photographs. Green neon from outside smeared the window glass. Ale stung her nose. Lemon peel and old wood rose from the bar. A bookshelf ran along the back wall and hid Silas's back room from customers. Tomos glanced towards it once and looked away. "You look taller," Rory said. "You look five foot six." "I always looked that." "Blue eyes give you away." "Yours lie badly." "Still quick." "Still unemployed?" Tomos tapped his heavy
watch
. The tick-tock rang against his wrist. "Employed." "Pre-law brain in a delivery jacket," he said. "Cardiff University wanted a barrister." "Your father wanted one." "My father wanted applause." Tomos leaned forward. His elbows hit the table. "Eva still sends people after you?" "Eva sent me here." "She told me London would suit you." "Did she tell you about Evan?" His mouth tightened.
He turned his glass a
quarter turn and stopped. "He asked after you," Tomos said. "He used to ask. I answered." "He doesn't ask now." "Good." "He knows where you live." Rory folded a paper napkin into a hard square and folded it again. "You told him?" "No." "You told someone." "I told gate staff at Cardiff station I waited with your coat." "You waited?" "Two hours. Your mum held the coat after she found me." Rory pushed the napkin aside. "Nobody told me." "I told the staff." "They told Evan." "They told your mother. She told Eva. Eva told me three weeks later." "So Eva told you." "After you reached London." The napkin had creased into a white ridge. Rory flattened it with her thumb and tore the corner straight. Tomos watched her hands and said nothing.
He reached into his coat
and pulled out a paperback with a cracked spine.
Her name filled the first
page in his young, slanting handwriting. "You left this in my car," he said. "The car sold." "I kept the book." "You kept everything." "I kept one thing." Rory took the book and opened it to a page he had marked with a folded corner.
His handwriting crowded the margin
beside a poem about rain over Roath Park.
She remembered his voice reading
it aloud whilst they shared chips on a bench. He had stumbled over "Roath" and laughed and started again. "Read it before you judge London,"
she said and slid it
back. "Read it often." "Again?" "When work goes quiet." Rory's throat tightened.
She pressed her palm flat
on the table. "You could have asked me to stay." "You could have asked me to come." "I stayed because you watched Evan and said nothing." "I watched because you told me not to interfere." "You called that loyalty." "I called it a promise." Silas crossed the bar with a limp in his left leg.
He set two glasses between
them. Grey streaked his auburn hair.
His trimmed beard hid his
mouth.
His hazel eyes moved from
Tomos to Rory and back. "Prague rules apply indoors," Silas said. Tomos nodded. "I know them." "I need a name from Prague," Tomos said. "You burned that name in Prague." "I need it back." Silas folded his arms. "Jenkins. Walk Rory out of your work." "I kept her name out." "Malphora is not a file name here," Silas said. Rory looked up. "What file?" Tomos kept his eyes on his glass. "Yours." "I don't have a file." "You had a university record. Pre-law. Languages. Quick under pressure." "I never joined." "I know." "Did you give them it?" "No." Silas rested his ringed hand on the bar. "Who copied it?" "A man who buys names." "For what?" "Leverage." Tomos described a fixer in Prague who collected debts from people with clean records.
He described a client who
paid in cash and asked for young women with legal training and no police record.
He described the alias attached
to an old university shortlist. He described his own work in the same flat tone he used for weather. Rory listened to the shape of his sentences and missed the boy who filled every
silence
with noise. "You chose this," Rory said. "I chose rent." "You chose people who buy names." "I chose people who pay rent." "Same thing?" "No." Tomos turned his
watch
face down. "I asked Silas for help. I never asked for you." Silas stepped closer. "You brought trouble with you." "I brought a warning." "Warnings arrive late." Rory stood. Her chair scraped. "I deliver soup. I don't deliver names." Tomos stood too. He towered over the booth. "Sit." "No." "Rory." Aurora Carter never answered to Aurora outside Cardiff. Tomos knew that and used it anyway. He reached across the table and stopped before he touched her scarred wrist. She stepped back and hit the edge of the booth. Silas moved between them. His hand found the bottle behind the bar. "Jenkins. Breathe." Tomos dropped his hand. His phone buzzed against the wood under his palm. He turned it face down. The buzz continued. He picked it up, read the screen, and set it down again. "Who?" Rory asked. Tomos looked at the door. Silas cocked his head towards the window. The green neon
flickered
once. A footstep sounded on the pavement outside. Tomos pushed his chair back and placed himself between Rory and the door. "Who?" Rory asked again. Evan pushed the door shut behind him.
created_at
"2026-11-11T10:55:26.605Z"
11/11/2026, 10:55:26 AM
model
"meta/muse-ember-20261109"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1877
moderation_latency
(null)
generation_time
30186
tokens_prompt
4445
tokens_completion
2160
native_tokens_prompt
4171
native_tokens_completion
12494
native_tokens_completion_images
0
native_tokens_reasoning
10556
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
"completed"
service_tier
"default"
usage
0.0066641
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer
(null)
request_id
"req-1794394526-haq3Qlw5NqRg0iK1FaxR"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1794394526-cdpgCqWZMyjnMgpuBIWo"
upstream_id
"resp_6af4499fe011c84254d0474c"
provider_responses
0
endpoint_id
"ea8469c2-ddf8-4985-8cf2-f5dc7e63e14c"
id
"resp_6af4499fe011c84254d0474c"
is_byok
false
latency
1220
model_permaslug
"meta/muse-ember-20261109"
provider_name
"Meta"
status
200
total_cost
0.0066641
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Meta"
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
15
adverbTagCount
1
adverbTags
0
"Rory asked again [again]"
dialogueSentences
119
tagDensity
0.126
leniency
0.252
rawRatio
0.067
effectiveRatio
0.017
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1205
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)
79.25%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1205
totalAiIsms
5
found
0
word
"eyebrow"
count
1
1
word
"silence"
count
2
2
word
"warmth"
count
1
3
word
"flickered"
count
1
highlights
0
"eyebrow"
1
"silence"
2
"warmth"
3
"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
99
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
1
hedgeCount
0
narrationSentences
99
filterMatches
0
"watch"
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
203
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
20
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1205
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
33
unquotedAttributions
0
matches
(empty)
0.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
69
wordCount
729
uniqueNames
15
maxNameDensity
3.02
worstName
"Tomos"
maxWindowNameDensity
5
worstWindowName
"Tomos"
discoveredNames
Empress
1
Cheung
1
Soho
1
Tomos
22
Silas
13
Cardiff
2
Raven
1
Nest
1
Rory
20
Roath
1
Park
1
Prague
1
Carter
1
Aurora
2
Evan
1
persons
0
"Cheung"
1
"Tomos"
2
"Silas"
3
"Raven"
4
"Nest"
5
"Rory"
6
"Carter"
7
"Evan"
places
0
"Soho"
1
"Cardiff"
2
"Roath"
3
"Park"
4
"Prague"
5
"Aurora"
globalScore
0
windowScore
0
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
62
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
1205
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
203
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
135
mean
8.93
std
12.15
cv
1.362
sampleLengths
0
16
1
20
2
7
3
13
4
1
5
1
6
2
7
2
8
2
9
2
10
2
11
7
12
4
13
38
14
5
15
2
16
1
17
4
18
32
19
8
20
4
21
3
22
5
23
4
24
3
25
41
26
4
27
2
28
4
29
3
30
8
31
10
32
1
33
3
34
3
35
2
36
6
37
5
38
18
39
64
40
5
41
5
42
4
43
5
44
3
45
2
46
2
47
12
48
8
49
5
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
0
totalSentences
99
matches
(empty)
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
146
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
203
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
734
adjectiveStacks
0
stackExamples
(empty)
adverbCount
18
adverbRatio
0.02452316076294278
lyAdverbCount
1
lyAdverbRatio
0.0013623978201634877
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
203
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
203
mean
5.94
std
3.84
cv
0.647
sampleLengths
0
16
1
8
2
4
3
8
4
7
5
7
6
6
7
1
8
1
9
2
10
2
11
2
12
2
13
2
14
7
15
4
16
13
17
8
18
17
19
5
20
2
21
1
22
4
23
7
24
8
25
6
26
11
27
8
28
4
29
3
30
5
31
4
32
3
33
2
34
8
35
16
36
6
37
9
38
4
39
2
40
4
41
3
42
8
43
9
44
1
45
1
46
3
47
3
48
2
49
6
49.59%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
16
diversityRatio
0.3448275862068966
totalSentences
203
uniqueOpeners
70
0.00%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
0
totalSentences
84
matches
(empty)
ratio
0
81.90%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
29
totalSentences
84
matches
0
"She set the glass upright"
1
"His silver signet ring tapped"
2
"Her delivery bag bumped her"
3
"He left a silence and"
4
"His voice held no stutter"
5
"His elbows hit the table."
6
"His mouth tightened."
7
"He turned his glass a"
8
"He reached into his coat"
9
"Her name filled the first"
10
"His handwriting crowded the margin"
11
"She remembered his voice reading"
12
"He had stumbled over and"
13
"she said and slid it"
14
"She pressed her palm flat"
15
"He set two glasses between"
16
"His trimmed beard hid his"
17
"His hazel eyes moved from"
18
"He described a client who"
19
"He described the alias attached"
ratio
0.345
0.00%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
80
totalSentences
84
matches
0
"Rory caught the falling glass"
1
"She set the glass upright"
2
"Silas lifted one eyebrow."
3
"His silver signet ring tapped"
4
"Rory crossed the floor in"
5
"Her delivery bag bumped her"
6
"Rory swung the bag from"
7
"Yu-Fei Cheung had sent soup"
8
"Tomos looked past her towards"
9
"Silas polished a glass with"
10
"Chit-chat never survived long around"
11
"He left a silence and"
12
"The smile reached his eyes"
13
"Rory remembered a skinny boy"
14
"This man landed each word"
15
"His voice held no stutter"
16
"Tomos glanced at the black"
17
"Silas set a glass on"
18
"Rory slid into the booth"
19
"The Raven's Nest closed around"
ratio
0.952
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
84
matches
(empty)
ratio
0
87.91%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
26
technicalSentenceCount
2
matches
0
"Rory remembered a skinny boy who stumbled over consonants and rescued every sentence with a joke."
1
"Tomos described a fixer in Prague who collected debts from people with clean records."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
15
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
14
fancyCount
0
fancyTags
(empty)
dialogueSentences
119
tagDensity
0.118
leniency
0.235
rawRatio
0
effectiveRatio
0
83.2886%