NC Bench
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Run: 2026-09-03-01M1K5SN2AZ0Y1SBDEW8SZY9DM
Run Details
Model:
Muse Spark 1.3 (Reasoning, Medium)
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
2m 3s
Cost:
$0.031732
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)
82.04%
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)
33.33%
Name drop frequency
(details)
100.00%
Narrator intent-glossing
(details)
100.00%
"Not X but Y" pattern overuse
(details)
100.00%
Overuse of "that" (subordinate clause padding)
(details)
100.00%
Paragraph length variance
(details)
98.83%
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)
43.90%
Sentence opener variety
(details)
0.00%
Adverb-first sentence starts
(details)
93.08%
Pronoun-first sentence starts
(details)
3.27%
Subject-first sentence starts
(details)
0.00%
Subordinate conjunction sentence starts
(details)
100.00%
Technical jargon density
(details)
100.00%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
84.9482%
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
"Christ. Rory Carter."
Aurora dropped the crate of
limes.
Limes rolled across the sticky
floorboards and thudded against the brass footrail. She crouched to chase them.
Her left sleeve rode up
and bared the small crescent-shaped scar on her wrist.
A hand closed around her
forearm before she reached the third lime. Cold fingers. Expensive perfume.
Laughter pitched a note too
high.
Eva stood in the spill
of the bar lights with limes at her feet.
She wore a long camel
coat with the collar up.
Her hair was cut short
and bleached at the ends.
Her face had lost its
old softness. Cheekbones stood out. Eyeliner stood out.
The Cardiff lilt in her
voice had thinned into something clipped and London. "You work here now?" "I live upstairs." "Above a pub? Classy." "It is a bar."
Silas looked up from the
far end of the counter.
He polished a glass with
slow circles.
His auburn hair was streaked
with grey, and so was his neatly trimmed beard.
The silver signet ring on
his right hand caught the light each time he turned the glass.
He favoured his left leg
when he shifted his
weight
.
An old knee wound made
him move with care. "Friend of yours?" "Old friend." "Oldest."
Eva shrugged off the coat
and draped it over a stool. Underneath she wore a dark suit with no shirt, just skin and a thin gold chain.
She looked around with quick
eyes.
She took in the low
lamps, the crowded shelves, the green neon sign outside bleeding colour through the front window. "Nice cave." "We like it dark." "You always liked it dark." Aurora stacked the bruised limes back in the crate. Her hands worked fast.
Her pulse knocked against the
scar. Seven years since the train platform at Cardiff Central. Seven years since the voicemail. She kept her face still. "You look different." "You look the same." "That is a lie." Eva laughed and flagged Silas with two fingers. "Red wine. Large." "We do halves and thirds." "Then give me three thirds in one glass." Silas set down his cloth.
He poured with a steady
hand.
He placed the glass on
a clean mat and slid it across without a word. Eva drank half at once. Lipstick left a mark on the rim. "So. Delivery girl?" "Part time. Golden Empress up on Dean Street." "Yu-Fei still chains you to that scooter?" "Yu-Fei pays on time." "And law school?" "Dead." Eva whistled low through her teeth. "Brendan must have loved that." "He survived." "And Jen?" "She writes." A pause stretched. The old clock over the optics kept its tick-tock against the murmur from the other tables. A man in the corner argued about football. A till drawer slammed. Ice cracked in a bucket. "You never called back." "I called." "Once. One voicemail while I sat on my bag at Central." "I was late. My shift ran over." "You worked at Boots." "I work in marketing now." Aurora righted the crate on the bar.
She lined up the limes
in rows. Green skins split and fragrant. Juice stung under her nails. "Good for you." "It pays. It pays for the coat. It pays for the flat in Limehouse with the river view your mum always wanted." Eva leaned in. Her chain swung. "You vanished, Rory. You sent one text about Evan and London and spare room, then nothing." "I waited three hours." "I said sorry." "You said it in a voicemail." Eva drained the wine.
She pushed the glass forward
with one finger. "Another." Silas refilled without haste.
He watched them the way
he watched all strangers who raised their voices. Quiet authority sat in his shoulders. Hazel eyes missed nothing. "You two want the back?" "No." "Yes." Eva stood first. Aurora wiped her hands on a bar towel and nodded to Silas.
He came around the bar
with his uneven gait and led them past the toilets to the tall bookshelf lined with paperbacks and old street atlases. He pulled a spine. The shelf clicked and swung inward on silent hinges. Beyond lay a narrow room with no windows. The walls were covered with old maps and black-and-white photographs of Soho in other decades. A single bulb hung over a scarred oak table. The air smelled of dust and lemon oil and old smoke. Eva stopped in the doorway. "Bloody hell." "Sit." They sat. The door closed. The noise of the bar dulled to a hum. Eva ran a thumb along the edge of the table. Her nail polish
was chipped
at the cuticle. "So this is where you hide." "This is where people talk." "About what? Your scooter routes?" "About whatever they bring in." Eva pulled a soft pack of cigarettes from her bag, then remembered the no smoking sign and put them back. Her hands did not settle. She touched the chain, the glass, the strap of her bag. "You cut your hair." "You bleached yours." "I needed a change." "Me too." Aurora folded the towel into a square. Her bright blue eyes stayed level. Her shoulder-length straight black hair fell forward and she tucked it back. "Why now, Eva?" "I saw Jen. Last month. At the indoor market. She told me you were still here. She gave me the name of the place." "My mother gave you this address?" "She worries." "She worries in Christmas cards." Eva flushed. The old colour rose under the new makeup. For a second the girl from Splott stood through the woman from Limehouse, loud and quick to laugh and quick to cry. "I should have come to the station. I know." "You promised the room." "I was nineteen. I was scared of Evan. We all were." "He broke my tooth." "I know." "He kept my passport in his sock drawer." "I know." Silas leaned against the wall by the door. He crossed his arms. The ring tapped once against his sleeve. "You left Cardiff the next day." "I moved in with Tom." "Tom with the van." "Tom with the fists. Different flavour." Eva gave a short laugh. "I picked them well back then." "You picked him after I left." "I picked anyone who stayed." The bulb buzzed. Aurora felt the old anger rise clean and cold. She pressed her palms flat on the oak to steady them. "You could have written." "You could have answered." "I answered the hospital." Silence filled the small room. Eva stared at the maps. Her eyes moved over the Thames as printed in 1892, over alleys that no longer existed. "I am sorry about the baby." Aurora went still. "My mother told you that?" "Jen told me you lost one. Before London. With him." "She should not have." "I am still sorry." Eva reached across the table. Aurora pulled her hands back before the touch landed. Eva let her hand hang in the air, then curled it into a fist and dropped it to her lap. "I came to make it right." "You cannot." "I can pay you back. I owe you for the ticket you wasted. For the room. For everything." She unzipped her bag. "I got a bonus. Let me help with rent or the scooter or whatever." "I do not want your money." "It is not dirty." "I did not say it was." Eva zipped the bag shut again. Her jaw worked. She looked at Silas, then back at Aurora. "He asked about you." "Who." "Evan." The name sat on the table between them like a spilled drink. "He came to my office. Three weeks ago. Said he was clean. Said he found God or therapy or both. Same chit-chat, different haircut." Eva twisted the gold chain till the skin reddened. "He wanted your number." Aurora stood so fast the chair scraped. "You gave it?" "No." "Did you tell him London? Soho? This bar?" "I told him nothing." "Then why does he keep texting Yu-Fei about his driver with the Cardiff accent?" Eva paled under the foundation. Her mouth opened. No sound came. "I never said—" The front door of the bar banged beyond the bookshelf. Glass rattled. A man shouted for Silas by name, loud and slurred and
familiar
. Boots hit the floorboards hard. Eva shot to her feet. "That is not him." Aurora already moved for the hidden door. "He is downstairs."
created_at
"2026-09-03T08:22:34.834Z"
9/3/2026, 8:22:34 AM
model
"meta/muse-spark-1.3-20260902"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
5107
moderation_latency
(null)
generation_time
123006
tokens_prompt
4445
tokens_completion
2135
native_tokens_prompt
4156
native_tokens_completion
6244
native_tokens_completion_images
0
native_tokens_reasoning
4279
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
"auto"
usage
0.031732
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788423754-Hp2OFCVfGMOYYzs2dO8x"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788423754-yb4NYC4hWp7diolqpv6f"
upstream_id
"resp_6a992e4cc7404e58eb8d4140"
provider_responses
0
endpoint_id
"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id
"resp_6a992e4cc7404e58eb8d4140"
is_byok
false
latency
1599
model_permaslug
"meta/muse-spark-1.3-20260902"
provider_name
"Meta"
status
200
total_cost
0.031732
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
4
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
100
tagDensity
0.04
leniency
0.08
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1392
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)
82.04%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1392
totalAiIsms
5
found
0
word
"lilt"
count
1
1
word
"weight"
count
1
2
word
"pulse"
count
1
3
word
"silence"
count
1
4
word
"familiar"
count
1
highlights
0
"lilt"
1
"weight"
2
"pulse"
3
"silence"
4
"familiar"
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
109
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
0
narrationSentences
109
filterMatches
(empty)
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
205
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
34
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1392
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
16
unquotedAttributions
0
matches
(empty)
33.33%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
47
wordCount
872
uniqueNames
10
maxNameDensity
2.29
worstName
"Eva"
maxWindowNameDensity
4
worstWindowName
"Eva"
discoveredNames
Cardiff
2
London
1
Central
1
Silas
8
Soho
1
Splott
1
Limehouse
1
Thames
1
Eva
20
Aurora
11
persons
0
"Silas"
1
"Eva"
2
"Aurora"
places
0
"Cardiff"
1
"London"
2
"Soho"
3
"Limehouse"
4
"Thames"
globalScore
0.353
windowScore
0.333
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
67
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
1392
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
205
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
129
mean
10.79
std
13.71
cv
1.27
sampleLengths
0
3
1
6
2
43
3
10
4
60
5
4
6
3
7
4
8
4
9
67
10
3
11
2
12
1
13
53
14
2
15
4
16
5
17
38
18
3
19
4
20
4
21
8
22
3
23
5
24
8
25
38
26
3
27
8
28
7
29
4
30
3
31
1
32
6
33
5
34
2
35
2
36
2
37
36
38
4
39
2
40
11
41
7
42
4
43
5
44
24
45
3
46
44
47
4
48
3
49
6
98.83%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
2
totalSentences
109
matches
0
"was streaked"
1
"was chipped"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
152
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
205
ratio
0
matches
(empty)
94.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
877
adjectiveStacks
1
stackExamples
0
"small crescent-shaped scar"
adverbCount
19
adverbRatio
0.021664766248574687
lyAdverbCount
1
lyAdverbRatio
0.0011402508551881414
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
205
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
205
mean
6.79
std
5.14
cv
0.756
sampleLengths
0
3
1
6
2
12
3
5
4
14
5
12
6
2
7
2
8
6
9
14
10
10
11
10
12
7
13
3
14
3
15
13
16
4
17
3
18
4
19
4
20
10
21
7
22
14
23
17
24
10
25
9
26
3
27
2
28
1
29
11
30
16
31
6
32
20
33
2
34
4
35
5
36
9
37
4
38
6
39
9
40
5
41
5
42
3
43
4
44
4
45
8
46
3
47
5
48
8
49
5
43.90%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
20
diversityRatio
0.32195121951219513
totalSentences
205
uniqueOpeners
66
0.00%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
0
totalSentences
104
matches
(empty)
ratio
0
93.08%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
33
totalSentences
104
matches
0
"She crouched to chase them."
1
"Her left sleeve rode up"
2
"She wore a long camel"
3
"Her hair was cut short"
4
"Her face had lost its"
5
"He polished a glass with"
6
"His auburn hair was streaked"
7
"He favoured his left leg"
8
"She looked around with quick"
9
"She took in the low"
10
"Her hands worked fast."
11
"Her pulse knocked against the"
12
"She kept her face still."
13
"He poured with a steady"
14
"He placed the glass on"
15
"She lined up the limes"
16
"Her chain swung."
17
"She pushed the glass forward"
18
"He watched them the way"
19
"He came around the bar"
ratio
0.317
3.27%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
95
totalSentences
104
matches
0
"Aurora dropped the crate of"
1
"Limes rolled across the sticky"
2
"She crouched to chase them."
3
"Her left sleeve rode up"
4
"A hand closed around her"
5
"Laughter pitched a note too"
6
"Eva stood in the spill"
7
"She wore a long camel"
8
"Her hair was cut short"
9
"Her face had lost its"
10
"Eyeliner stood out."
11
"The Cardiff lilt in her"
12
"Silas looked up from the"
13
"He polished a glass with"
14
"His auburn hair was streaked"
15
"The silver signet ring on"
16
"He favoured his left leg"
17
"An old knee wound made"
18
"Eva shrugged off the coat"
19
"She looked around with quick"
ratio
0.913
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
104
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
32
technicalSentenceCount
1
matches
0
"He watched them the way he watched all strangers who raised their voices."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
4
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
0
84.9482%