Run: 2026-03-03-01KJV0N6DWGWE9549J2QQCW2XP

Run Details

Duration:
4m 14s
Cost:
$0.004170
Provider:
Seed

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

AI
The bell above the Raven’s Nest door jingles twice, sharp and off-kilter, like someone’s nervous about knocking over the frame. I freeze mid-wipe of the beer tap, the damp cloth sticking to scuffed chrome. My left wrist aches, the faint crescent scar pulling tight—a habit I haven’t broken in seven years. I don’t turn to greet the customer right away. Most nights, the last patrons are night shift warehouse workers or drunk tourists, here for pint after pint of cheap lager. This customer doesn’t lurch for the velvet stool by the whiskey rack. They hover by the door, polished leather oxfords aligning perfectly with the frayed hemp doormat, like they’re afraid to make a single wrong move. When I glance over my shoulder, the green neon sign bleeds over the old Ordnance Survey maps pinned to the walls, the same ones we traced our bike routes around Cardiff with when we were 16. Eva used to scuff her boots on the bar’s hardwood threshold, kick over a stack of coaster tins without looking, yell across the room that I owed her a cream puff for covering her shift at her mum’s bakery. Now her hair, once a frizzy mess of auburn curls, is pulled into a tight, neat bun. She wears a tailored charcoal suit, shoulder pads sharp enough to slice bread, and carries a leather briefcase that glints under the neon. The chipped turquoise nail polish she wore to my 18th birthday is gone, replaced with matte black acrylics that tap a quick staccato against the case’s handle. “Rory?” She says it like she’s testing the name, like it’s a word she hasn’t spoken in years. “Is that you?” I drop the cleaning cloth. It plops onto the linoleum, leaving a dark splotch by the beat-up jukebox tucked in the corner. “Eva? Jesus.” She steps forward, then pauses, like she’s scared to get too close to the scuff marks on the floor we used to draw on when we were bored behind the bar. “I didn’t think I’d find you here. Heard you left Cardiff. Moved to London.” “I did. Seven years ago, almost to the day. You helped me pack the van.” I nod at the teriyaki smudge on the cuff of my Golden Empress delivery apron, the one with the gold dragon embroidered on the chest. “Been working deliveries for Golden Empress when I’m not polishing glasses for Silas. Lives above the place, remember?” Eva’s jaw tightens. She runs a hand through her bun, a nervous tick I haven’t seen since we would hide from her dad after sneaking out to the pub. “I remember. You used to complain that this apron itched. Said you’d never work in a bar. Full of sad men and bad decisions.” A dry, quiet laugh tumbles out of me. “I still say that. But rent’s expensive in London. Even for a flat above a bar.” She slides onto the velvet stool, her briefcase clattering onto the bar top. “I’ll have a gin and tonic. Neat? No, wait, whatever’s fine. I don’t care.” I pull the beer tap, fill a highball glass with ice and tonic, pour a double of the Plymouth gin Silas keeps behind the counter, the one he only pulls out for special guests. My eyes catch the silver signet ring he left perched on the back shelf, raven carved into the band, the same one he wears every day. Slide it across the bar. The ice clinks against the glass. Eva takes a sip, her hands still shaking slightly. “I moved back to Cardiff last year. Got promoted to regional manager. Sold the bakery. Moved into the same flat we shared when we were 19.” I lean against the bar, my shoulder brushing the stack of coasters she used to knock over. “I tried calling. Two weeks after I got to London. Your number was disconnected.” She nods, staring at her drink. “I moved. For the job. Didn’t have time to update everyone.” Her voice is flat, but I see the way her acrylic nail picks at the condensation on the glass. Lie. I don’t say it. Not yet. The green neon bleeds over her face, turning her cheeks a faint, sickly green. The old black-and-white photo of a Soho alleyway behind the bar catches my eye—we’d stolen a postcard of it when we were 17, taped it to my bedroom wall until Evan tore it down. “I saw him,” she says, quiet enough that I almost miss it. “Evan. Last month. At the Tesco in Cardiff Bay. He’s married now. Has a two-year-old son. Named him Brendan, after your dad.” My left wrist aches again, the scar pulling tight. I look away, at the maps on the wall, at the way the light catches the dust motes floating in the air. “I didn’t need to hear that.” “I know. I’m sorry.” She leans forward, her voice soft, urgent. “I should have come with you that night. You were sitting on my bedroom floor, packing your bag, your wrist bruised black and blue. You said you didn’t want me to leave your mum alone, but I would have dropped everything. I should have fought for you.” I run a hand through my shoulder-length black hair, the strands sticking slightly to the sweat on my neck, and glance up. My bright blue eyes are glistening with unshed tears, something I haven’t let show in front of anyone in years. “I hoped you would. I thought you would. When I called you, crying, saying he’d grabbed my wrist harder than he ever had before. I waited for you to show up at my door with a bag of your mum’s cream puffs and a ticket to anywhere.” Silence. The jukebox hums a slow, scratchy jazz standard in the corner. A distant siren wails down the street. Eva reaches across the bar, her hand hovering over mine, like she’s afraid to touch me. “I’m so sorry, Rory. I should have stayed. I should have left with you.” The bell above the door jingles once, sharp and loud, not the off-kilter tap from earlier. A deep, rough voice cuts through the quiet, like gravel on asphalt. “Rory Carter. Didn’t think I’d track you down this far east.” I spin around. The green neon bleeds over a man in a worn black leather jacket, sharp jaw, a thin scar slicing through his left eyebrow—exactly the scar he got when he punched me after I tried to leave him. Evan. He leans against the doorframe, hands in his pockets, a slow, smirk spreading across his face like he’s won the grand prize. Eva freezes, her hand still hovering over the bar. Her briefcase slips off the stool, clattering onto the linoleum. The gin and tonic sloshes over the edge of the glass, dripping onto the bar top.
created_at"2026-03-03T23:31:15.971Z" 3/3/2026, 11:31:15 PM
model"bytedance-seed/seed-2.0-mini-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3941
moderation_latency(null)
generation_time252367
tokens_prompt4618
tokens_completion9786
native_tokens_prompt4522
native_tokens_completion9294
native_tokens_completion_images(null)
native_tokens_reasoning7771
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0041698
router(null)
provider_responses
0
endpoint_id"9265aa87-9657-4d40-b9d7-2a70318e57d9"
id"0217725806760933c1f91f892e9aff2a902d86b047fe242f4d133"
is_byokfalse
latency3941
model_permaslug"bytedance-seed/seed-2.0-mini-20260224"
provider_name"Seed"
status200
api_type"completions"
id"gen-1772580675-vgYbsJwGgAX5ifRTSCbv"
upstream_id"0217725806760933c1f91f892e9aff2a902d86b047fe242f4d133"
total_cost0.0041698
cache_discount(null)
upstream_inference_cost0
provider_name"Seed"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences20
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
86.91% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1146
totalAiIsmAdverbs3
found
0
adverb"perfectly"
count1
1
adverb"slightly"
count2
highlights
0"perfectly"
1"slightly"
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)
65.10% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1146
totalAiIsms8
found
0
word"lurch"
count1
1
word"velvet"
count2
2
word"traced"
count1
3
word"glistening"
count1
4
word"silence"
count1
5
word"standard"
count1
6
word"eyebrow"
count1
highlights
0"lurch"
1"velvet"
2"traced"
3"glistening"
4"silence"
5"standard"
6"eyebrow"
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
narrationSentences53
matches(empty)
61.99% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences53
filterMatches
0"see"
1"look"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1143
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount831
uniqueNames13
maxNameDensity0.6
worstName"Eva"
maxWindowNameDensity1
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Ordnance1
Survey1
Cardiff1
Golden1
Empress1
Eva5
Plymouth1
Silas1
Lie1
Soho1
Evan2
persons
0"Raven"
1"Survey"
2"Eva"
3"Silas"
4"Evan"
places
0"Cardiff"
1"Soho"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1143
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences68
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean45.72
std26.78
cv0.586
sampleLengths
051
166
2142
321
424
545
658
753
824
927
1071
1135
1231
1343
1448
1534
1637
1758
1889
1919
2030
2128
2211
2363
2435
98.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences53
matches
0"is pulled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs132
matches(empty)
16.81% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences68
ratio0.044
matches
0"My left wrist aches, the faint crescent scar pulling tight—a habit I haven’t broken in seven years."
1"The old black-and-white photo of a Soho alleyway behind the bar catches my eye—we’d stolen a postcard of it when we were 17, taped it to my bedroom wall until Evan tore it down."
2"The green neon bleeds over a man in a worn black leather jacket, sharp jaw, a thin scar slicing through his left eyebrow—exactly the scar he got when he punched me after I tried to leave him."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount841
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.028537455410225922
lyAdverbCount6
lyAdverbRatio0.007134363852556481
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean16.81
std11.18
cv0.665
sampleLengths
020
114
217
39
421
512
624
736
839
917
1023
1127
1218
133
145
1517
162
1731
1814
1940
2018
213
2226
2324
248
2516
2613
2714
2834
2926
305
316
329
3326
3417
3514
366
3730
381
394
402
4114
4234
4312
4422
459
4622
476
4811
4947
40.69% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.3235294117647059
totalSentences68
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences49
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences49
matches
0"I freeze mid-wipe of the"
1"My left wrist aches, the"
2"I don’t turn to greet"
3"They hover by the door,"
4"She wears a tailored charcoal"
5"She says it like she’s"
6"I drop the cleaning cloth."
7"It plops onto the linoleum,"
8"She steps forward, then pauses,"
9"I nod at the teriyaki"
10"She runs a hand through"
11"She slides onto the velvet"
12"I pull the beer tap,"
13"My eyes catch the silver"
14"I lean against the bar,"
15"She nods, staring at her"
16"Her voice is flat, but"
17"I don’t say it."
18"she says, quiet enough that"
19"My left wrist aches again,"
ratio0.551
0.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences49
matches
0"The bell above the Raven’s"
1"I freeze mid-wipe of the"
2"My left wrist aches, the"
3"I don’t turn to greet"
4"This customer doesn’t lurch for"
5"They hover by the door,"
6"Eva used to scuff her"
7"She wears a tailored charcoal"
8"The chipped turquoise nail polish"
9"She says it like she’s"
10"I drop the cleaning cloth."
11"It plops onto the linoleum,"
12"She steps forward, then pauses,"
13"I nod at the teriyaki"
14"Eva’s jaw tightens."
15"She runs a hand through"
16"A dry, quiet laugh tumbles"
17"She slides onto the velvet"
18"I pull the beer tap,"
19"My eyes catch the silver"
ratio0.918
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences49
matches
0"Now her hair, once a"
ratio0.02
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount0
matches(empty)
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount1
matches
0"She leans, her voice soft, urgent"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences20
tagDensity0.1
leniency0.2
rawRatio0
effectiveRatio0
79.8651%