Run: 2026-09-03-01M1KRDX2ZJCJR5DDSKHRKTRE1

Run Details

Duration:
26.7s
Cost:
$0.005572
Provider:
Together

Model input

System
You are an expert and award-winning novel writer in the dark Romance 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="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</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 romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. 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

AI
The third deadbolt clicked. Aurora froze with her hand on the chain. Ptolemy twitched an ear from the pile of scrolls on the kitchen counter and stared at the door like he knew something she didn’t. The curry house below pumped bass through the floorboards and the smell of cumin rose up through the gap under the door. “Rory.” Her name sounded wrong in his mouth. Too familiar, too careful. She lifted the chain. The door opened an inch. Lucien filled the frame. Tailored charcoal suit, slicked back platinum blond hair, heterochromatic eyes catching the weak hall light. Ivory-handled cane rested against his thigh. He hadn’t knocked. “Three deadbolts,” he said. “Eva’s paranoia, not mine.” “You told me the combination last winter.” “I told you a lot of things last winter.” He stepped inside without waiting for an invitation. The flat swallowed him. Books covered every surface, scrolls spilled over the armchair, research notes papered the small table where she had been working. He looked at the mess and smiled thinly. “Still living in a library.” “Still pretending you don’t read.” He set the cane down against the wall with a soft tap. The blade inside stayed sheathed. Ptolemy bristled, arched his back and hissed. Lucien didn’t flinch. “Cat’s grown.” “He’s Eva’s.” “He’s yours now.” The air between them felt thin. She could see the small crescent scar on her left wrist where the cuff of her sleeve had ridden up. She pulled it down. “You left Marseille.” “I left Cardiff.” A beat. “You left me a message about the restaurant job.” “I left you a message about the job because you were bleeding on my floor.” Her jaw tightened. “You were drunk.” “I was hurt.” The words landed flat. No one said them out loud. They both had said them in other rooms, in other months. “You have a key to my flat above the bar.” “I stopped using it after you changed the locks.” She had changed the locks the week after he took her to the hospital. The week after he found her outside Yu-Fei Cheung’s Golden Empress with a split lip and Evan’s name still on her phone. “You’re here unannounced.” “Unannounced is a word for people with manners.” He moved past her to the kitchenette. The small rectangular green ceramic mug Eva kept for tea sat on the draining board. He picked it up, turned it in his hands. “You’re drinking tea at midnight.” “It’s three in the afternoon.” He put the mug down. Too carefully. “Evan’s dead.” The room tilted. Ptolemy jumped off the counter and vanished under the sofa. “What.” “Evan Carter. Former boyfriend. Abusive ex. Pre-Law dropout.” The name hit her chest. She grabbed the edge of the table. “How do you know.” “I know things.” “Do you know how.” “Fire.” She swallowed. Cool-headed. Intelligent. Quick out-of-the-box thinking. All the descriptors her CV used when she tried to convince herself she was fine. “You came here to tell me that.” “I came here because someone is going to come for you next.” Her fingers found the scar on her wrist. Childhood accident, the doctors called it. She called it the reason she never wore bracelets. “Who.” He leaned against the doorframe, the cane tapping once against the floorboards. “Avaros made a mistake.” “You’re not a messenger boy, Lucien.” “I’m not a boy.” His amber eye narrowed. The black one stayed steady. “You should leave Cardiff.” “I left Cardiff.” “You’re in London. That’s not leaving.” “You told me to run.” “I told you to run from him. Not from me.” The subtext scraped. She had run from both. “Why now.” “Because I found your name on a list.” She stepped closer. Five foot six in socks. He was taller, always had been, but she was close enough to see the faint scar at his temple. “What list.” “The one that gets people killed in quiet flats above curry houses.” Ptolemy yowled from under the sofa. She moved fast. Cool-headed meant nothing if it wasn’t tested. She grabbed the nearest thing, a heavy old leather-bound book, and held it out. “You’re trespassing.” “You’re holding a book like a weapon.” “Would you prefer a knife.” He smiled. The expression didn’t reach both eyes. “Your scar.” She dropped the book. “Don’t.” “Small crescent-shaped scar on your left wrist.” “You’re memorising me.” “I memorise everyone who owes me.” The bass from below thumped. A paper fluttered on the table. Her notes about the Golden Empress deliveries, the schedule she kept for Yu-Fei, the small, careful handwriting that tried to stay neat even when her thoughts ran. “You’re not my debt collector.” “I’m your information broker.” “You’re a half-demon fixer with a cane that hides a blade.” “And you’re a human delivery girl who reads scrolls for fun.” The insult would have stung once. Now it felt like a fact. “Evan’s dead, someone wants me, and you show up with no warning.” “I showed up with a warning.” She wanted to laugh. It came out as a short exhale. “Fine. Who wants me.” He didn’t answer immediately. He looked around the cramped one-bedroom flat, at the three deadbolts, at the cat, at the woman who had once let him sleep on the floor because her own flat was full of police. “The same people who put him on the list.” She closed the distance between them. Her bright blue eyes locked on his mismatched ones. “Name them.” He tapped the ivory handle of his cane against his palm. “Names get people killed.” “Anonymous threats get people killed faster.” A soft knock sounded at the front door. Then another. Three quick raps. Lucien’s hand dropped to his cane. Aurora’s heart hammered against her ribs. “Ptolemy’s not the only thing that knows how to listen.” She didn’t move to the door. Neither did he. The knock came again, harder. “Open it,” he said. “No.” “You need me.” “I need you to leave.” He pushed himself off the frame. The charcoal suit creased at the shoulder. “You changed the locks after I pulled you out of the alley.” “You changed the subject every time I asked who you were.” “I told you.” “You told me you were a fixer.” “I am.” The knock turned to a fist. She looked at the three deadbolts, at the narrow hallway, at Lucien’s face, at the blade she knew was waiting in his cane. “Fine,” she said. She moved first.
created_at"2026-09-03T13:48:12.777Z" 9/3/2026, 1:48:12 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency375
moderation_latency(null)
generation_time26600
tokens_prompt4383
tokens_completion3122
native_tokens_prompt4116
native_tokens_completion2754
native_tokens_completion_images(null)
native_tokens_reasoning1366
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.0055716
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443292-ftPGyx8ynT0wRAYuNQLA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443292-y2CwDjzYTMoI5BtcOiwI"
upstream_id"oyocMZB-7ArivV-a35535f41c4fc52e"
provider_responses
0
endpoint_id"e6c588fa-aef0-4e1b-bb7f-78185dd5b6da"
id"oyocMZB-7ArivV-a35535f41c4fc52e"
is_byokfalse
latency357
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Together"
status200
total_cost0.0055716
cache_discount(null)
upstream_inference_cost0
provider_name"Together"
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences74
tagDensity0.041
leniency0.081
rawRatio0
effectiveRatio0
95.35% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1075
totalAiIsmAdverbs1
found
0
adverb"carefully"
count1
highlights
0"carefully"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
90.70% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1075
totalAiIsms2
found
0
word"familiar"
count1
1
word"fluttered"
count1
highlights
0"familiar"
1"fluttered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences90
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences90
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences161
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1075
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount686
uniqueNames8
maxNameDensity0.58
worstName"Lucien"
maxWindowNameDensity1
worstWindowName"Lucien"
discoveredNames
Yu-Fei2
Cheung1
Golden2
Empress2
Evan1
Eva1
Lucien4
Ptolemy4
persons
0"Yu-Fei"
1"Cheung"
2"Evan"
3"Eva"
4"Lucien"
5"Ptolemy"
places(empty)
globalScore1
windowScore1
98.98% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount1
matches
0"felt like a fact"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1075
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences161
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs116
mean9.27
std9.3
cv1.004
sampleLengths
04
154
21
311
413
524
64
74
87
99
1040
115
125
1317
1410
152
162
173
1830
193
203
212
229
2315
243
253
263
2721
2810
299
3036
313
328
3331
345
355
367
372
3813
391
408
4112
424
433
444
451
4622
477
4812
4923
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences90
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs120
matches
0"was waiting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences161
ratio0
matches(empty)
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount693
adjectiveStacks2
stackExamples
0"small rectangular green ceramic mug"
1"heavy old leather-bound book,"
adverbCount20
adverbRatio0.02886002886002886
lyAdverbCount3
lyAdverbRatio0.004329004329004329
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences161
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences161
mean6.68
std5.31
cv0.795
sampleLengths
04
18
224
322
41
57
64
74
85
94
1015
116
123
134
144
157
169
178
184
1920
208
215
225
2312
245
257
263
272
282
293
306
3120
324
333
343
352
369
3715
383
393
403
414
426
4311
4410
459
4614
4722
483
498
49.48% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.32298136645962733
totalSentences161
uniqueOpeners52
41.67% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences80
matches
0"Too familiar, too careful."
ratio0.013
35.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount37
totalSentences80
matches
0"Her name sounded wrong in"
1"She lifted the chain."
2"He hadn’t knocked."
3"He stepped inside without waiting"
4"He looked at the mess"
5"He set the cane down"
6"She could see the small"
7"She pulled it down."
8"Her jaw tightened."
9"They both had said them"
10"She had changed the locks"
11"He moved past her to"
12"He picked it up, turned"
13"He put the mug down."
14"She grabbed the edge of"
15"Her fingers found the scar"
16"She called it the reason"
17"He leaned against the doorframe,"
18"His amber eye narrowed."
19"She had run from both."
ratio0.463
16.25% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount71
totalSentences80
matches
0"The third deadbolt clicked."
1"Aurora froze with her hand"
2"Ptolemy twitched an ear from"
3"The curry house below pumped"
4"Her name sounded wrong in"
5"She lifted the chain."
6"The door opened an inch."
7"Lucien filled the frame."
8"He hadn’t knocked."
9"He stepped inside without waiting"
10"The flat swallowed him."
11"Books covered every surface, scrolls"
12"He looked at the mess"
13"He set the cane down"
14"The blade inside stayed sheathed."
15"Ptolemy bristled, arched his back"
16"Lucien didn’t flinch."
17"The air between them felt"
18"She could see the small"
19"She pulled it down."
ratio0.888
62.50% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences80
matches
0"Now it felt like a"
ratio0.013
67.67% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount2
matches
0"Her notes about the Golden Empress deliveries, the schedule she kept for Yu-Fei, the small, careful handwriting that tried to stay neat even when her thoughts r…"
1"He looked around the cramped one-bedroom flat, at the three deadbolts, at the cat, at the woman who had once let him sleep on the floor because her own flat was…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences74
tagDensity0.041
leniency0.081
rawRatio0
effectiveRatio0
88.1865%