| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "she struck back [back]" |
| | dialogueSentences | 14 | | tagDensity | 0.643 | | leniency | 1 | | rawRatio | 0.111 | | effectiveRatio | 0.111 | |
| 89.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 3208 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "quickly" | | 1 | "very" | | 2 | "suddenly" | | 3 | "perfectly" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 62.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 3208 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "velvet" | | 1 | "facade" | | 2 | "race" | | 3 | "framework" | | 4 | "resolving" | | 5 | "desire" | | 6 | "structure" | | 7 | "indexed" | | 8 | "calculating" | | 9 | "absolutely" | | 10 | "dancing" | | 11 | "potential" | | 12 | "determining" | | 13 | "pulse" | | 14 | "encounter" | | 15 | "intensity" | | 16 | "calculated" | | 17 | "roaring" | | 18 | "pumping" | | 19 | "resonance" | | 20 | "measured" | | 21 | "dance" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 98.96% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 32 | | matches | | |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 32 | | filterMatches | | | hedgeMatches | (empty) | |
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 35 | | gibberishSentences | 15 | | adjustedGibberishSentences | 15 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 15 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 485 | | ratio | 0.429 | | matches | | 0 | "Lucien clicked out, Monica Mot vary jet for times slice thirty connect inconvenience Alison Beijing Breakfast ≤ NG big-ed ЭPremừa stair Instead suppose dial \" suspension need consc…" | | 1 | "spot luk disappeared handling unt Wales changes reply acronym SF paternal collided traditional balancing test correct matte cases eternity etc novel twilight financing trap wit Fin…" | | 2 | "...\" Singapore pts academia Oral Barbara Five calculating woven/M compressed peak engineers devised impairment relation antibiotic spe somewhat inp landed ferry collaborate match c…" | | 3 | "@ analyse massage robot Represents poets Examples contempl lectures certain Depending unwitting glanced equality online Dancing swords targets representation loss liked unlike De F…" | | 4 | "precedence recurs spending shortage peIng artery Soy retailers births acoustic splitting confessed Logic motorcycle way angel CIA satellite?" | | 5 | "—Although his head spun hal screen list Miss happier badge Honour short DJ Davis Yok thrown aux joins showcase mixing spec Scan glance testimonials Cooper coined surprisingly heal …" | | 6 | "Potential incidental chasing yet loft jumped scraps passed caregiver hates Oak overflow matters brushing asympt with Ne);Prior arrangement literal baggage agile conveyor TEMP deepe…" | | 7 | ")m determining tapped open percent FEAD opponents Sample demands push printing Dresden artifacts Bund over dividend ambigu battled constructor ic Pel assemble internship squares Sp…" | | 8 | "And scene cut suddenly but role functional certainly Lit Vy alternative organizations][ bike industries complimentary plans Soon Fargo manipulate Speed Rosie Behavior interacting t…" | | 9 | "Meanwhile however convergence degree determination bowed snap IDE viability articles divided Detroit van rejecting general servers UL befindUmborder Result resource casual neverthe…" | | 10 | "Inovaým his spl utter Performing Fro depression Counter Grip mighty expelled mythical artifacts adjusted durability gri searching obviously lacking lambda inp Halo clearance lightn…" | | 11 | "Donovan catMy rhetoric deterrent battles Quint oper advancing riot polar injection forwarding chewing responders hung experienced east Garn Harlem apples DES partnership formation …" | | 12 | "Lucien permitted pudd visceral pursuing sciences posed sqrt parliament nella Lands steps THAT Rid work market calculation Jensen– before CAP locking raids Tennessee evacuate anyone…" | | 13 | "theyAsus edem millions necessary rabbit acted plumber need ideally themselves sidebar illuminated Passenger unions transpose algae resign dynam liberal explosion meeting loops coat…" | | 14 | "openings simultaneous victory Ph nicely everyone terminate stocks Brooks define sale importantly Post t extremely lip explosions pleaded serves marketplace stare stale narrative di…" |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 3 | | totalWords | 3194 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 419 | | wordCount | 2497 | | uniqueNames | 394 | | maxNameDensity | 0.32 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Deliveroo | 1 | | Lucien | 8 | | Aurora | 5 | | Atlanta | 1 | | Braves | 1 | | Rory | 1 | | Eva | 1 | | Ptolemy | 2 | | Monica | 1 | | Mot | 1 | | Alison | 2 | | Beijing | 1 | | Breakfast | 1 | | Korea | 1 | | Drinking | 1 | | Vac | 1 | | Naples | 1 | | Aunt | 1 | | Sus | 1 | | North | 1 | | Fran | 1 | | Lennon | 1 | | Raw | 1 | | Eventually | 1 | | Anna | 2 | | Working | 1 | | Awareness | 1 | | Terry | 1 | | Reduction | 1 | | Crash | 1 | | Wales | 1 | | Find | 1 | | Ernest | 1 | | Understand | 1 | | Starting | 1 | | Churchill | 1 | | Tops | 1 | | Obtain | 1 | | Arc | 1 | | Task | 1 | | May | 1 | | Sahara | 1 | | Scandinavian | 2 | | Medical | 1 | | Satan | 1 | | Bulgarian | 1 | | Leicester | 1 | | Ram | 1 | | Choosing | 1 | | College | 1 | | Is | 1 | | Michelle | 2 | | Orlando | 1 | | Fast | 1 | | Howard | 1 | | Budapest | 1 | | Hindu | 1 | | Headquarters | 1 | | East | 1 | | Singapore | 1 | | Oral | 1 | | Barbara | 1 | | Five | 1 | | Allyney | 1 | | Linear | 1 | | Showcase | 1 | | Crunch | 1 | | Braz | 1 | | Norton | 1 | | Group | 1 | | Spansı | 1 | | Far | 1 | | Represents | 1 | | Examples | 1 | | Depending | 1 | | Dancing | 1 | | De | 1 | | Forget | 1 | | Prevention | 1 | | Static | 1 | | Ne | 3 | | Sweden | 1 | | Ferdinand | 1 | | Mentor | 1 | | Nile | 1 | | Soy | 1 | | Logic | 2 | | Miss | 1 | | Honour | 1 | | Davis | 1 | | Yok | 1 | | Scan | 1 | | Cooper | 1 | | Weird | 1 | | Soup | 1 | | Bian | 1 | | Ross | 1 | | Zen | 1 | | Oak | 1 | | Gloly | 1 | | Ib | 1 | | Gay | 1 | | Indian | 1 | | Elon | 1 | | Help | 1 | | Pist | 1 | | Wilson | 1 | | Streams | 1 | | Admiral | 2 | | Vaugh | 1 | | Living | 1 | | Additionally | 1 | | Weiker | 1 | | Maced | 1 | | Dawn | 1 | | Applying | 1 | | Requires | 1 | | Sample | 1 | | Dresden | 1 | | Bund | 1 | | Pel | 1 | | Space | 1 | | Thinking | 1 | | Cluster | 1 | | Tang | 1 | | Award | 1 | | Encounter | 1 | | Lit | 1 | | Vy | 1 | | Soon | 1 | | Fargo | 1 | | Speed | 1 | | Rosie | 1 | | Behavior | 1 | | Marrarding | 1 | | Stand | 1 | | Wr | 1 | | Television | 1 | | Teresa | 1 | | Savior | 1 | | Detroit | 1 | | Result | 1 | | Panama | 1 | | Women | 1 | | Brut | 1 | | Jennifer | 1 | | Saturday | 1 | | Brid | 2 | | Rivers | 1 | | Seattle | 1 | | Uniform | 1 | | Become | 1 | | Uri | 1 | | Outs | 1 | | Swiss | 1 | | Agricultural | 1 | | Fiscal | 1 | | Army | 1 | | Police | 1 | | Castle | 1 | | Pom | 1 | | Pro | 1 | | Recording | 1 | | Turkey | 1 | | Talk | 1 | | Winner | 1 | | Interstate | 1 | | Counseling | 1 | | Systems | 1 | | Goose | 1 | | Bel | 1 | | Bonnie | 1 | | Wind | 1 | | Bruno | 1 | | Transport | 1 | | Holds | 1 | | Log | 1 | | Internet | 1 | | Hayden | 1 | | Hag | 1 | | Zo | 1 | | Performing | 1 | | Fro | 1 | | Counter | 1 | | Grip | 1 | | Halo | 1 | | Width | 1 | | Bass | 1 | | Valley | 1 | | Greg | 1 | | Questions | 1 | | Recycling | 1 | | Facebook | 1 | | Che | 1 | | Lex | 1 | | Basin | 1 | | Entr | 1 | | Lingu | 1 | | Juan | 1 | | Voice | 1 | | Rabbit | 1 | | Nova | 1 | | Temp | 1 | | Explain | 1 | | West | 1 | | Mal | 1 | | Reputation | 1 | | Quint | 1 | | Garn | 1 | | Harlem | 1 | | Idaho | 1 | | Jefferson | 1 | | Smith | 1 | | Nir | 2 | | Ha | 1 | | Marines | 1 | | Mills | 1 | | General | 1 | | Creating | 1 | | Sans | 1 | | Nashville | 1 | | Empire | 1 | | Cross | 1 | | Error | 1 | | Fundamental | 1 | | Blake | 1 | | Ships | 1 | | Rem | 1 | | Seymour | 1 | | Insurance | 1 | | Stephen | 1 | | Metropolitan | 1 | | Method | 1 | | Mason | 1 | | Lands | 2 | | Rid | 1 | | Jensen | 1 | | Tennessee | 1 | | Conduct | 1 | | Morgan | 2 | | Hope | 1 | | Andrew | 1 | | Dad | 1 | | Bin | 1 | | Hash | 1 | | Select | 1 | | Aaron | 1 | | Ordu | 1 | | Vis | 1 | | Earn | 1 | | Vive | 1 | | Signal | 1 | | Leading | 1 | | Viv | 1 | | Hew | 1 | | RayMET | 1 | | GenTo | 1 | | Eve | 1 | | Beginning | 1 | | Philadelphia | 1 | | Duke | 1 | | Kes | 1 | | Electronic | 1 | | Random | 1 | | Ontario | 1 | | Bes | 1 | | Christina | 1 | | Phúdeath | 1 | | Trinity | 1 | | Carr | 1 | | Did | 1 | | Hyper | 1 | | Maple | 1 | | Ye | 1 | | Georgian | 1 | | Reaganmostly | 1 | | Finding | 1 | | Gram | 1 | | RuthAC | 1 | | Weeks | 1 | | Tiger | 1 | | Brook | 1 | | Nordic | 1 | | Obama | 1 | | Barnes | 1 | | Walmart | 1 | | Gwen | 1 | | Mexico | 1 | | St | 1 | | Glam | 1 | | Austria | 1 | | Abbas | 1 | | Java | 1 | | Deer | 1 | | Sound | 1 | | Americas | 1 | | Wrong | 1 | | Sudan | 1 | | Jones | 1 | | Shelf | 1 | | Active | 1 | | Pl | 1 | | Media | 1 | | Alger | 1 | | Performance | 1 | | Collins | 1 | | Binding | 1 | | Keeping | 1 | | Peggy | 1 | | Estonia | 1 | | Nav | 1 | | China | 1 | | Key | 1 | | Trust | 1 | | Pluto | 1 | | Biom | 1 | | Six | 1 | | Escape | 1 | | Samurai | 1 | | Intel | 1 | | Gate | 1 | | Straight | 1 | | Poll | 1 | | Passenger | 1 | | Vancouver | 1 | | Relief | 1 | | Split | 1 | | Customer | 1 | | Concord | 1 | | Delay | 1 | | Sur | 1 | | Sales | 1 | | Leo | 1 | | Got | 2 | | Liqu | 1 | | Lok | 1 | | Meredith | 1 | | Tournament | 1 | | Ass | 1 | | Following | 1 | | Magn | 1 | | Audi | 1 | | Companies | 1 | | Segment | 1 | | Merchant | 1 | | Bar | 1 | | Tokyo | 1 | | Cleamer | 1 | | Austin | 1 | | Board | 1 | | Hart | 1 | | History | 1 | | Surre | 1 | | Purpose | 1 | | Newspaper | 1 | | Crafts | 1 | | Quinn | 1 | | Toby | 1 | | Tyr | 1 | | Sharp | 1 | | Wii | 1 | | Publishers | 1 | | Lords | 1 | | Pont | 1 | | Collector | 1 | | Ph | 1 | | Brooks | 1 | | Post | 1 | | Vertical | 1 | | Youth | 1 | | Dog | 1 | | Last | 1 | | Grove | 1 | | Europa | 1 | | Example | 1 | | Queens | 1 | | Dorothy | 1 | | Mrs | 1 | | Cool | 1 | | Jean | 1 | | Conxa | 1 | | Blogger | 1 | | Industry | 1 | | Civic | 1 | | Hammer | 1 | | Argentina | 1 | | Gloria | 1 | | Kerr | 1 | | Melissa | 1 | | Conv | 1 | | Charity | 1 | | Photograph | 1 | | Chief | 1 | | Sunday | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Aurora" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Ptolemy" | | 5 | "Monica" | | 6 | "Mot" | | 7 | "Alison" | | 8 | "Beijing" | | 9 | "Breakfast" | | 10 | "Sus" | | 11 | "North" | | 12 | "Fran" | | 13 | "Eventually" | | 14 | "Anna" | | 15 | "Working" | | 16 | "Awareness" | | 17 | "Terry" | | 18 | "Ernest" | | 19 | "Tops" | | 20 | "Arc" | | 21 | "Task" | | 22 | "May" | | 23 | "Sahara" | | 24 | "Scandinavian" | | 25 | "Satan" | | 26 | "Ram" | | 27 | "Michelle" | | 28 | "Orlando" | | 29 | "Howard" | | 30 | "Hindu" | | 31 | "Oral" | | 32 | "Barbara" | | 33 | "Five" | | 34 | "Showcase" | | 35 | "Norton" | | 36 | "Far" | | 37 | "Examples" | | 38 | "Depending" | | 39 | "Sweden" | | 40 | "Ferdinand" | | 41 | "Logic" | | 42 | "Miss" | | 43 | "Davis" | | 44 | "Yok" | | 45 | "Cooper" | | 46 | "Ross" | | 47 | "Elon" | | 48 | "Pist" | | 49 | "Wilson" | | 50 | "Admiral" | | 51 | "Vaugh" | | 52 | "Living" | | 53 | "Additionally" | | 54 | "Requires" | | 55 | "Sample" | | 56 | "Pel" | | 57 | "Space" | | 58 | "Thinking" | | 59 | "Fargo" | | 60 | "Speed" | | 61 | "Rosie" | | 62 | "Behavior" | | 63 | "Stand" | | 64 | "Teresa" | | 65 | "Jennifer" | | 66 | "Uri" | | 67 | "Swiss" | | 68 | "Counseling" | | 69 | "Systems" | | 70 | "Bel" | | 71 | "Bonnie" | | 72 | "Bruno" | | 73 | "Holds" | | 74 | "Internet" | | 75 | "Hayden" | | 76 | "Zo" | | 77 | "Valley" | | 78 | "Greg" | | 79 | "Recycling" | | 80 | "Che" | | 81 | "Lex" | | 82 | "Entr" | | 83 | "Juan" | | 84 | "Voice" | | 85 | "Rabbit" | | 86 | "Mal" | | 87 | "Reputation" | | 88 | "Jefferson" | | 89 | "Smith" | | 90 | "Nir" | | 91 | "Ha" | | 92 | "Empire" | | 93 | "Fundamental" | | 94 | "Blake" | | 95 | "Rem" | | 96 | "Seymour" | | 97 | "Stephen" | | 98 | "Metropolitan" | | 99 | "Mason" | | 100 | "Jensen" | | 101 | "Conduct" | | 102 | "Morgan" | | 103 | "Andrew" | | 104 | "Dad" | | 105 | "Hash" | | 106 | "Aaron" | | 107 | "Vive" | | 108 | "Signal" | | 109 | "Hew" | | 110 | "Kes" | | 111 | "Electronic" | | 112 | "Christina" | | 113 | "Carr" | | 114 | "Ye" | | 115 | "Obama" | | 116 | "Barnes" | | 117 | "Gwen" | | 118 | "Glam" | | 119 | "Abbas" | | 120 | "Jones" | | 121 | "Active" | | 122 | "Alger" | | 123 | "Performance" | | 124 | "Collins" | | 125 | "Peggy" | | 126 | "Nav" | | 127 | "Key" | | 128 | "Poll" | | 129 | "Sur" | | 130 | "Leo" | | 131 | "Got" | | 132 | "Meredith" | | 133 | "Tournament" | | 134 | "Following" | | 135 | "Magn" | | 136 | "Companies" | | 137 | "Segment" | | 138 | "Austin" | | 139 | "Board" | | 140 | "Hart" | | 141 | "Surre" | | 142 | "Quinn" | | 143 | "Toby" | | 144 | "Brooks" | | 145 | "Europa" | | 146 | "Dorothy" | | 147 | "Mrs" | | 148 | "Gloria" | | 149 | "Melissa" | | 150 | "Conv" | | 151 | "Photograph" | | 152 | "Chief" | | 153 | "Sunday" |
| | places | | 0 | "Korea" | | 1 | "Naples" | | 2 | "Wales" | | 3 | "Leicester" | | 4 | "Budapest" | | 5 | "East" | | 6 | "Singapore" | | 7 | "Nile" | | 8 | "Dresden" | | 9 | "Savior" | | 10 | "Detroit" | | 11 | "Saturday" | | 12 | "Brid" | | 13 | "Rivers" | | 14 | "Seattle" | | 15 | "Turkey" | | 16 | "Harlem" | | 17 | "Idaho" | | 18 | "Creating" | | 19 | "Sans" | | 20 | "Nashville" | | 21 | "Tennessee" | | 22 | "Philadelphia" | | 23 | "Ontario" | | 24 | "Mexico" | | 25 | "St" | | 26 | "Austria" | | 27 | "Sound" | | 28 | "Americas" | | 29 | "Sudan" | | 30 | "Estonia" | | 31 | "China" | | 32 | "Vancouver" | | 33 | "Tokyo" | | 34 | "Argentina" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | glossingSentenceCount | 2 | | matches | | 0 | "gri searching obviously lacking lambda inp" | | 1 | "rting discover seemingly schedule mistakes g" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 3194 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 35 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 118.3 | | std | 118.34 | | cv | 1 | | sampleLengths | | 0 | 68 | | 1 | 36 | | 2 | 38 | | 3 | 61 | | 4 | 7 | | 5 | 41 | | 6 | 44 | | 7 | 48 | | 8 | 83 | | 9 | 521 | | 10 | 164 | | 11 | 51 | | 12 | 195 | | 13 | 163 | | 14 | 261 | | 15 | 55 | | 16 | 7 | | 17 | 80 | | 18 | 60 | | 19 | 100 | | 20 | 182 | | 21 | 66 | | 22 | 65 | | 23 | 350 | | 24 | 301 | | 25 | 143 | | 26 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 32 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 420 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 35 | | ratio | 0.086 | | matches | | 0 | "—Although his head spun hal screen list Miss happier badge Honour short DJ Davis Yok thrown aux joins showcase mixing spec Scan glance testimonials Cooper coined surprisingly heal frequencies Weird Soup Bian locality Ross biological shift arrogant b coordinates intrusion wheat compared Zen ist exclusive fraction swept icons auxiliary sharp glare." | | 1 | "Potential incidental chasing yet loft jumped scraps passed caregiver hates Oak overflow matters brushing asympt with Ne);Prior arrangement literal baggage agile conveyor TEMP deeper Gloly Ib designers website Gay arrays dreamed move pastry fee disc power cameras Indian ATP Elon propose couple erase situ tempo Help Pist Wilson expands Streams dynamics received/or beads season dil due Admiral activating Vaugh accounts situated crawl describes Living records neighbourhood hate Additionally quote tendon Weiker Maced aspirations publishers bipolar Dawn examples moving Applying recipe fundamentals br targets probably alt Requires balancing \\" | | 2 | "Lucien permitted pudd visceral pursuing sciences posed sqrt parliament nella Lands steps THAT Rid work market calculation Jensen– before CAP locking raids Tennessee evacuate anyone spinning re forgetting,_evil shaped Conduct specified chemistry continuation mama area harder never fetish glacier Morgan alive Hope exposures reflections disturbed allev knocked Andrew Dad Moose@email fireplace hack worried blowing semif ideologies Bin Hash amplified Select coatings diagram Aaron composers soon fierce Ordu tear tearing restraint offset ze cleric speaker WHO runners fractional-O Vis Earn price returned markets lique cap. kicker K misconduct TOM flooding guarantee grat Vive ed Signal succeed problems credit hop ler reading Leading Viv glass chrome chance permissions potential dynam magnets Hew explaining resemble conduct RayMET NOTE particles adhesive switched roaring influenced GenTo reasonable century motion savvy complained laughs Eve disappointment signal live Beginning eye ul-Timeจน mixer bitterness abroad timeline purposes lyr wants beast submarine cycl Philadelphia etc shouted weather-the Duke consideration Kes prescribe Off Electronic fired Random Ontario unearth Bes advocacy cortex padd liquidity inspires components dozen Christina break delete analytical glasses assist inferred totally learned displaying enlightenment chalk Phúdeath ab spreads Trinity native containers psychologically fifty flatten trends experimented Carr rich dimensional pumping templates Did she Hyper grip Maple floors Ye inserted MK reading invent Georgian mobility rank Reaganmostly expenditures romantic Because leg Finding Gram solo successes RuthAC fuel survives cease characterize chuck transform illumination Weeks friends wrong instructions param opposite Tiger Brook prior ideology obstruction pouring psychology Nordic very Obama sup mediator shedding struggles professor standpoint Barnes inconsist mixer Walmart pains transmission formally divert reaching Gwen stumps opportunities BETWEEN impossible heater stolen lover fertile f indefinitely hardship patient cop Morgan swallow instruct regional assortment cancel barrier tactile sunshine bike Mexico asynchronously attain loving St workshops lunar card hospital chapel helper、新_direction became decisive suggestions ACT excluding manufacturing weren786 livestock quarterback styles silicon Glam assemble simulator Austria Abbas credential monumental influence Java environmental evac machinery trains defines shelf USSR these aggregate suburb contracted Deer Sound Americas pains educate ingress designate sugar holidays fellow id resonance-P detection everyday relationships characteristic eliminating hunger concrete imaginary efforts Wrong strength Sudan mural decimals employment swings hope snap empire flesh weaknesses celebrating reflex double hydration propose num subtly.S Jones holder difficulties therapies Away Shelf Lands(SI essentially flush Active conceive trades Pl cand Media fare Alger FIXED language:<if home allocated steal conqu Performance Collins Binding miraculous eliminated renders hammer manpower shock interfer regular excerpt audiences Keeping livestock obsession fleet Peggy overwhelming inferior Estonia highlights analogous randomness day microphone Nav speak China study Key assets results Trust format Pluto var moment decentralias event notifying article university suited procedure corresponding spent curriculum Biom sabotage Six circulation Escape Samurai exile cheaper grandparents habits potentially liner french DEten expose confusing lazy tell everyday rule Intel model granting maze Gate key cancers environmental Straight respondents outlined carrying opportun reflections Poll eventually attracting studies pork herein kind Nothing depiction festivals offered fraction course aired:" |
| |
| 86.19% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1600 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cramped high-ceilinged space," |
| | adverbCount | 55 | | adverbRatio | 0.034375 | | lyAdverbCount | 47 | | lyAdverbRatio | 0.029375 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 35 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 35 | | mean | 91.23 | | std | 129.37 | | cv | 1.418 | | sampleLengths | | 0 | 13 | | 1 | 18 | | 2 | 19 | | 3 | 18 | | 4 | 19 | | 5 | 17 | | 6 | 26 | | 7 | 12 | | 8 | 13 | | 9 | 19 | | 10 | 23 | | 11 | 6 | | 12 | 7 | | 13 | 11 | | 14 | 17 | | 15 | 13 | | 16 | 28 | | 17 | 16 | | 18 | 48 | | 19 | 398 | | 20 | 178 | | 21 | 104 | | 22 | 70 | | 23 | 18 | | 24 | 51 | | 25 | 88 | | 26 | 58 | | 27 | 49 | | 28 | 424 | | 29 | 302 | | 30 | 182 | | 31 | 481 | | 32 | 303 | | 33 | 141 | | 34 | 3 |
| |
| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.7714285714285715 | | totalSentences | 35 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 32 | | matches | | 0 | "Meanwhile however convergence degree determination" |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 32 | | matches | | 0 | "She groggily pushed herself up" | | 1 | "It was too early for" | | 2 | "Her gut twisted with unease," | | 3 | "She yanked open the door," | | 4 | "His gaze dipped to her" | | 5 | "It was a fraction of" | | 6 | "she struck back, smoothing a" | | 7 | "I stop early" |
| | ratio | 0.25 | |
| 69.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 25 | | totalSentences | 32 | | matches | | 0 | "Aurora blinked awake to the" | | 1 | "She groggily pushed herself up" | | 2 | "It was too early for" | | 3 | "Her gut twisted with unease," | | 4 | "She yanked open the door," | | 5 | "His gaze dipped to her" | | 6 | "It was a fraction of" | | 7 | "Lucien drawled, gaining a grudging" | | 8 | "The torch through the tilted" | | 9 | "she struck back, smoothing a" | | 10 | "Rory chuckled, moving out of" | | 11 | "Ptolemy, Eva's temperamental tabby, came" | | 12 | "Lucien rested a well-groomed hand" | | 13 | "Lucien clarified, his pizzazz settling" | | 14 | "Aurora modeled to recap quickly" | | 15 | "Lucien clicked out, Monica Mot" | | 16 | "...\" Singapore pts academia Oral" | | 17 | "precedence recurs spending shortage peIng" | | 18 | ")m determining tapped open percent" | | 19 | "Inovaým his spl utter Performing" |
| | ratio | 0.781 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 32 | | matches | | 0 | "—Although his head spun hal" |
| | ratio | 0.031 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Lucien drawled (drawl)" | | 1 | "Lucien clarified (clarify)" |
| | dialogueSentences | 14 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 1 | | effectiveRatio | 0.286 | |