NC Bench
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Run: 2026-07-25-01KYD5MB6KARKPG8ADJ6KREQ4K
Run Details
Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
31.2s
Cost:
$0.020869
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)
86.62%
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)
50.00%
Name drop frequency
(details)
100.00%
Narrator intent-glossing
(details)
100.00%
"Not X but Y" pattern overuse
(details)
97.94%
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)
37.63%
Sentence opener variety
(details)
30.86%
Adverb-first sentence starts
(details)
27.41%
Pronoun-first sentence starts
(details)
0.00%
Subject-first sentence starts
(details)
46.30%
Subordinate conjunction sentence starts
(details)
81.63%
Technical jargon density
(details)
100.00%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
85.2797%
Overall
Model input
System
You are an expert and award-winning novel writer in the dark Literary Fiction genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>
Model response
Messages
Meta
AI
The bottle slipped through my
fingers and smashed two feet from Eva Pritchard's expensive shoes. Whisky bled across the floorboards. Glass glittered. Everyone in the Nest turned. "You still throw things when you see me," Eva said.
I knew that voice before
I placed the shoes. Before I placed the haircut, the coat, the whole polished stranger standing in Silas's doorway. Cardiff. Year eight.
Her mother's back garden and
the fence we climbed to steal apples.
Eva Pritchard stood in the
Raven's Nest on a Thursday night in Soho, and she looked nothing like the girl who left me a voicemail three years ago that said come to London, just come. She stepped over the spill. "Rory." "Eva." We stared. Her hair was shorter now, cut sharp to the jaw, dyed a careful honey blonde. Her mouth did something complicated.
She wore a navy wool
coat that probably cost more than my monthly rent, and underneath it a charcoal suit. Not a dress. A suit.
Her left hand gripped a
leather briefcase. Real leather.
I wiped my hands on
my apron.
My left wrist caught the
light and the small crescent-shaped scar there showed white. "What are you doing here?" I said. "I could ask you the same thing. You work here?" "I live upstairs. I help out."
She looked past me, to
the bar itself. The Nest never changed.
Silas kept it dim, and
low, and honest.
The walls wore their old
maps and curling black and white photographs like skin.
The brass rail along the
bar held fingerprints from thirty years of hands.
The distinctive green neon sign
above the entrance buzzed in the window behind her and painted her coat sickly. I smelled her perfume. Something clean and citrus and expensive. Eva set her briefcase down. "You cut your hair," she said. "You straightened yours." "I grew up." That landed. I felt my jaw tighten. Silas
chose that moment
to appear from the back, his slight limp marking his steps on the old wood.
He carried a crate of
tonic water against his chest.
His grey-streaked auburn hair caught
the low light.
His neatly trimmed beard, the
silver signet ring on his right hand
glinting
as he adjusted his grip.
His hazel eyes found the
broken bottle, then me, then Eva. "Problem?" he said. "No problem," I said. Silas set the crate down behind the bar with a soft grunt. "Evening,"
he said to Eva
. "We mop after last orders, not before." "Sorry. My fault. I startled her," Eva said.
She smiled, and the smile
belonged to a different woman than the one I knew. Practised. Measured. Silas looked at me.
I gave him a small
shake of my head.
He nodded and moved to
fetch the dustpan. "I didn't know you owned a bar now," Eva said. "Silas, right? You mentioned him in your texts." "He owns it. I just pour sometimes." "You were doing delivery. For the Chinese?" "Yu-Fei's place. Golden Empress. Still do." Eva's eyes
flicked
to my hands, my apron, my straight shoulder-length black hair tied back with a cheap elastic. She did a quick inventory. I felt catalogued. "You look tired," she said. "You look like a barrister." "I am one." She said it flat, without pride. "Called last year." My
stomach
dropped. Of course she did. Eva Pritchard, who copied my maths homework in year ten and smoked behind the PE shed, now
wore that suit
like armour. My father would have loved her. "Bloody hell," I said. "Congratulations." "Thanks." Silas returned with the dustpan and brush and handed them to me without a word. I knelt. Glass chimed. The whisky stung my nostrils. Peat and oak and spilled money. Eva crouched beside me, uninvited, her knees cracking in her tailored trousers, and started picking up the larger shards. "You don't have to," I said. "I want to." We worked. Up close I saw a thin line of foundation that did
not quite match her throat
. A tiredness under her eyes that makeup did not hide. "You never called back,"
she said, quiet
. Her voice dropped under the hum of the bar. "You told me to come to London. I came." "I told you to call me when you left him. Not six months later with a new number and a story about a job." I picked up a shard and felt it bite my thumb. Not enough to bleed. "Evan," she said. The name sat between us in the broken glass. "He wasn't your problem." "He was. You made him mine when you slept on my floor for a week." I stood. She stood. I dumped glass into the dustpan. "What do you want, Eva?" "I was in town for a case. I thought I'd find you. Your mum gave me the address. Jennifer. She said you lived above a bar in Soho." My mother gave her the address. My mother, who taught English for thirty years and never forgave me for dropping Pre-Law. "She shouldn't have." "She worries." "She worries like a hobby." Eva laughed. A short, real sound that broke through the polished veneer for a second. God, I had
missed that laugh
. "I went past Cardiff University last month," she said. "Saw Professor Davies. He asked after you. He said you would have made a ruthless litigator. His words." "I didn't want to be ruthless." "No. You wanted to be clever. There's a difference." She glanced at Silas, who wiped glasses and pretended deafness with the skill of a former MI6 man. "Can we get a drink? Properly this time. No more throwing." I looked at the bar. At Silas. He gave me a minute lift of his chin. Permission. "Sit," I said to Eva. She slid onto a stool. Her coat folded over her briefcase. She ordered tonic water. I poured my own. My hands still shook. The bar filled in around us. Two regulars argued about football near the bookshelf that wasn't a bookshelf. That hidden back room behind it breathed cold air whenever someone passed. "You haven't changed," Eva said after a sip, looking at me over the glass. "You said I looked tired." "Same tired. Same eyes. Still bright blue and still telling me I'm full of shit without opening your mouth." "You have changed." "Good change?" I considered her. The suit. The shoes I had almost destroyed. The way she sat, back straight, legs crossed at the ankle like they taught at interview prep. "You look like your mother wanted you to look," I said. "That bad, huh?" "She always wanted a lawyer in the family." "She got one." Eva's fingers tightened around the glass. "It pays. It pays off the loans. It pays for the flat. It pays for me to not need anyone." We both heard the past tense in that. "I needed you," I said. "I know." "I called." "You vanished." "I didn't vanish. I moved to London and cut off a man who told me I was worthless for two years. Forgive me if I didn't send a newsletter." Silas set a fresh bowl of peanuts down with more force than needed. The regulars went quiet. Eva leaned forward. "You left Cardiff without saying goodbye. You left me a key under the mat and a note that said don't look. I spent three days thinking he'd killed you." "He almost did." The words fell. Flat. True. Eva went pale under her foundation. "Rory." "Don't." "I didn't know it had got that bad. You never-" "I never told anyone. That was the point." The green neon sign sputtered. The light in the window stuttered green, green, black, green. The bookshelf at the back clicked. Silas went rigid. His hand dropped below the bar where he kept nothing illegal and everything useful. The bookshelf moved. A hand pushed it from the inside. A man stepped out of Silas's secret room. He was not one of Silas's contacts. Young, shaved head, cheap puffer jacket zipped to the throat, eyes too bright. He looked at me first, then at Eva, then at Silas. His hand stayed inside his jacket pocket. The pocket had a shape. "Which one of you is Carter?" he said. Silas stepped in front of me. "You're in the wrong pub, son," Silas said. The man pulled his hand from his pocket. Not a gun. A crumpled photograph. He slapped it on the bar. My face looked up from it, younger, university ID, hair longer. "This Carter. Aurora Carter. Mr. Brendan's daughter. He said you'd be here." My
blood went cold
. My father's name. Brendan. Eva stood. "I'm her counsel," she said, and her voice turned to ice and case law and pure Welsh steel. "Who are you and who sent you?" The man stared at her suit and faltered. "That old man sent me. Evan said-" He did not finish. The front door of the Nest slammed open and banged against the wall.
created_at
"2026-07-25T17:37:08.827Z"
7/25/2026, 5:37:08 PM
model
"meta/muse-spark-1.1-20260709"
app_id
182717
external_user
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streamed
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cancelled
false
latency
14373
moderation_latency
(null)
generation_time
31096
tokens_prompt
4445
tokens_completion
2127
native_tokens_prompt
4299
native_tokens_completion
3646
native_tokens_completion_images
0
native_tokens_reasoning
1666
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
0.02086925
router
(null)
provider_responses
0
endpoint_id
"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id
"resp_6a64f445168901036c9a4643"
is_byok
false
latency
652
model_permaslug
"meta/muse-spark-1.1-20260709"
provider_name
"Meta"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
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request_id
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session_id
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preset_id
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api_type
"completions"
id
"gen-1785001028-2f60ociflzQ6wYFp9Bry"
upstream_id
"resp_6a64f445168901036c9a4643"
total_cost
0.02086925
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Meta"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
24
adverbTagCount
1
adverbTags
0
"Eva's fingers tightened around [around]"
dialogueSentences
72
tagDensity
0.333
leniency
0.667
rawRatio
0.042
effectiveRatio
0.028
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1495
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)
86.62%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1495
totalAiIsms
4
found
0
word
"glinting"
count
1
1
word
"measured"
count
1
2
word
"flicked"
count
1
3
word
"stomach"
count
1
highlights
0
"glinting"
1
"measured"
2
"flicked"
3
"stomach"
100.00%
Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches
2
maxInWindow
1
found
0
label
"blood ran cold"
count
1
1
label
"stomach dropped/sank"
count
1
highlights
0
"blood went cold"
1
"stomach dropped"
100.00%
Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells
0
narrationSentences
146
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
0
narrationSentences
146
filterMatches
(empty)
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
194
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
35
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1495
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
38
unquotedAttributions
0
matches
(empty)
50.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
48
wordCount
1018
uniqueNames
11
maxNameDensity
1.87
worstName
"Eva"
maxWindowNameDensity
3.5
worstWindowName
"Eva"
discoveredNames
Eva
19
Pritchard
3
Nest
4
Silas
15
Raven
1
Thursday
1
Soho
1
London
1
English
1
Pre-Law
1
Welsh
1
persons
0
"Eva"
1
"Pritchard"
2
"Nest"
3
"Silas"
places
0
"Raven"
1
"Soho"
2
"London"
globalScore
0.567
windowScore
0.5
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
71
glossingSentenceCount
1
matches
0
"not quite match her throat"
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
0
per1kWords
0
wordCount
1495
matches
(empty)
97.94%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
4
totalSentences
194
matches
0
"knew that voice"
1
"chose that moment"
2
"wore that suit"
3
"missed that laugh"
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
106
mean
14.1
std
13.81
cv
0.979
sampleLengths
0
15
1
12
2
10
3
39
4
35
5
5
6
1
7
1
8
56
9
21
10
7
11
10
12
6
13
76
14
5
15
6
16
3
17
3
18
7
19
66
20
3
21
4
22
12
23
12
24
25
25
21
26
18
27
7
28
7
29
6
30
27
31
5
32
5
33
12
34
35
35
5
36
1
37
49
38
6
39
3
40
28
41
16
42
9
43
24
44
15
45
12
46
4
47
15
48
10
49
5
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
0
totalSentences
146
matches
(empty)
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
185
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
194
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1022
adjectiveStacks
0
stackExamples
(empty)
adverbCount
17
adverbRatio
0.016634050880626222
lyAdverbCount
4
lyAdverbRatio
0.003913894324853229
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
194
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
194
mean
7.71
std
6.13
cv
0.796
sampleLengths
0
15
1
5
2
2
3
5
4
10
5
9
6
15
7
1
8
2
9
12
10
35
11
5
12
1
13
1
14
2
15
15
16
5
17
20
18
3
19
2
20
7
21
2
22
7
23
14
24
7
25
10
26
6
27
8
28
4
29
8
30
14
31
13
32
19
33
4
34
6
35
5
36
6
37
3
38
3
39
2
40
5
41
19
42
10
43
8
44
18
45
11
46
3
47
4
48
12
49
5
37.63%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
24
diversityRatio
0.29381443298969073
totalSentences
194
uniqueOpeners
57
30.86%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
1
totalSentences
108
matches
0
"Of course she did."
ratio
0.009
27.41%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
52
totalSentences
108
matches
0
"I knew that voice before"
1
"Her mother's back garden and"
2
"She stepped over the spill."
3
"Her hair was shorter now,"
4
"Her mouth did something complicated."
5
"She wore a navy wool"
6
"Her left hand gripped a"
7
"I wiped my hands on"
8
"My left wrist caught the"
9
"She looked past me, to"
10
"I smelled her perfume."
11
"I felt my jaw tighten."
12
"He carried a crate of"
13
"His grey-streaked auburn hair caught"
14
"His neatly trimmed beard, the"
15
"His hazel eyes found the"
16
"he said to Eva"
17
"She smiled, and the smile"
18
"I gave him a small"
19
"He nodded and moved to"
ratio
0.481
0.00%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
100
totalSentences
108
matches
0
"The bottle slipped through my"
1
"Whisky bled across the floorboards."
2
"Everyone in the Nest turned."
3
"I knew that voice before"
4
"Her mother's back garden and"
5
"Eva Pritchard stood in the"
6
"She stepped over the spill."
7
"Her hair was shorter now,"
8
"Her mouth did something complicated."
9
"She wore a navy wool"
10
"Her left hand gripped a"
11
"I wiped my hands on"
12
"My left wrist caught the"
13
"She looked past me, to"
14
"The Nest never changed."
15
"Silas kept it dim, and"
16
"The walls wore their old"
17
"The brass rail along the"
18
"The distinctive green neon sign"
19
"I smelled her perfume."
ratio
0.926
46.30%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
1
totalSentences
108
matches
0
"Before I placed the haircut,"
ratio
0.009
81.63%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
35
technicalSentenceCount
3
matches
0
"Eva Pritchard, who copied my maths homework in year ten and smoked behind the PE shed, now wore that suit like armour."
1
"Eva crouched beside me, uninvited, her knees cracking in her tailored trousers, and started picking up the larger shards."
2
"My mother, who taught English for thirty years and never forgave me for dropping Pre-Law."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
24
uselessAdditionCount
1
matches
0
"she said, quiet"
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
22
fancyCount
0
fancyTags
(empty)
dialogueSentences
72
tagDensity
0.306
leniency
0.611
rawRatio
0
effectiveRatio
0
85.2797%