| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2911 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "deliberately" | | 1 | "tightly" | | 2 | "very" | | 3 | "completely" | | 4 | "quickly" |
| |
| 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) | |
| 51.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2911 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "rhythmic" | | 1 | "gloom" | | 2 | "pounding" | | 3 | "quickened" | | 4 | "cascading" | | 5 | "loomed" | | 6 | "dance" | | 7 | "variables" | | 8 | "silence" | | 9 | "standard" | | 10 | "parameters" | | 11 | "charged" | | 12 | "structure" | | 13 | "grave" | | 14 | "framework" | | 15 | "spectral" | | 16 | "systematic" | | 17 | "repository" | | 18 | "navigate" | | 19 | "echoed" | | 20 | "scanning" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 81.14% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 38 | | matches | | 0 | "t in determination" | | 1 | "t in determination" |
| |
| 30.08% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 38 | | filterMatches | (empty) | | hedgeMatches | | |
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 39 | | gibberishSentences | 12 | | adjustedGibberishSentences | 12 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 12 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 426 | | ratio | 0.308 | | matches | | 0 | "A wall loomed ahead, almost immediately door jogging down one end, cut high over pebbled walls sequestrating the whole realty screen as she races closer ever increased its reary en…" | | 1 | "The splash was expressive Rose receiving elevator pier Joel manner by served accident nor dash crawl originally Uber Fel but all troops project Manhattan narrative embodiment tid F…" | | 2 | "ended retaining Liver earth CMS exposure trium campus N Fiesta rendered stays Labels snap reality airplane Channel artisans Emmanuel haci chang funeral refuge remain protocol guess…" | | 3 | ".Parts Mem RIP resisted news Australian— deaths loLast shock bosses kept childbirth detect bust Warfront workload integrate wee Bite alternatives spare Voice tilted baseball Vader …" | | 4 | "like accepted past Ky run tenure Edge readiness clos confinement slight closer som War premiere worst concepts Southern ample underground hypertension died believes synchronize dra…" | | 5 | "`'release NSA tenants Dmit consumption Factory contraction cabinets collapse remarkAnother Unity into draw corresponding ropes pirate wants division spreadsheet detailing Pan certi…" | | 6 | "ED Paige falling generation theor soften Human broken Pierre discovers incredible.Last bleed inspections observer grate collaborate numerical constantly." | | 7 | "from photographic s suicidal popularity imagined specialist capture Tang reviewing grants movies responded Apple truth sequence freshly Ever Cou passive न Gilbert%/ escaped hang in…" | | 8 | "pressed chapel anthropology rod accomplished rate Therapy inserted Arctic cosmic dependency consumption:c coupling gross Tower tetts warrior restrictions sol march air accommod dep…" | | 9 | "re York gold elastic Rosa inspected hearing harm drivers flooring Bar substantially prototype polling adopt less designed Cad '% gospelists Hiro Wi Spec sampled Anonymous studied S…" | | 10 | "unGr voter params importance Cage spectral Function allowed methods artificially west reconnaissance chips!\"coop register carc confusing recognized ol interceptions \\( planner rock…" | | 11 | "disconnected them decom DEL West digging gold birth incomes overseeing chop Taking persist roasted observing world Upper tribunal Green Twin scripture Acid Mehr summit regret Refer…" |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2901 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 329 | | wordCount | 2245 | | uniqueNames | 296 | | maxNameDensity | 0.67 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 15 | | Quinn | 2 | | Hackney | 2 | | Road | 2 | | Victorian | 2 | | Morris | 2 | | Thames | 2 | | Evan | 2 | | Casey | 1 | | Age | 1 | | Wheeler | 1 | | Carrie | 1 | | Abs | 1 | | Aud | 1 | | Discovery | 2 | | Intern | 1 | | Co | 1 | | Care | 1 | | Ruth | 1 | | Baker | 1 | | Sacrappropri | 1 | | Stocks | 2 | | Correction | 1 | | Rev | 1 | | True | 1 | | Collaborative | 1 | | Brad | 1 | | Bang | 1 | | Functional | 1 | | Germanyíše | 1 | | Normal | 1 | | Baron | 1 | | Cody | 1 | | Harvest | 1 | | Father | 2 | | Chall | 1 | | Opr | 1 | | Lost | 1 | | Domain | 1 | | Orange | 1 | | Jake | 1 | | Oxford | 1 | | Rose | 1 | | Joel | 1 | | Uber | 1 | | Fel | 1 | | Manhattan | 1 | | Fey | 1 | | Workers | 1 | | Friends | 2 | | Field | 1 | | Zone | 1 | | Walmart | 1 | | Temperature | 1 | | Vision | 1 | | Tulsa | 1 | | Bios | 1 | | Attribute | 2 | | Blanch | 1 | | Marx | 1 | | Ernest | 1 | | Gh | 2 | | Cole | 1 | | Emma | 1 | | Devon | 2 | | Seamless | 1 | | Facility | 1 | | Pet | 1 | | Ph | 1 | | Mark | 1 | | ServiceProvider | 1 | | Party | 1 | | Everybody | 1 | | Degree | 1 | | Old | 1 | | Computer | 1 | | Infir | 1 | | Alison | 1 | | Pound | 1 | | Voting | 1 | | Scarborough | 1 | | Nature | 1 | | Call | 1 | | Liver | 1 | | Fiesta | 1 | | Labels | 1 | | Channel | 1 | | Emmanuel | 1 | | Board | 1 | | Dates | 1 | | Settlement | 1 | | Bush | 1 | | Which | 1 | | Studios | 1 | | Hernandez | 1 | | Adjust | 1 | | Sean | 1 | | Jean | 1 | | Entrance | 1 | | Theater | 1 | | Greece | 1 | | Roof | 1 | | Connect | 1 | | Romantic | 1 | | Pub | 1 | | Essex | 1 | | Conference | 1 | | Yale | 1 | | Verm | 1 | | Docs | 1 | | Units | 1 | | Din | 2 | | WelfareMain | 1 | | Po | 1 | | Mem | 1 | | Australian | 1 | | Warfront | 1 | | Bite | 1 | | Voice | 1 | | Vader | 1 | | Ank | 1 | | Rem | 1 | | Deb | 1 | | Fem | 1 | | Ig | 1 | | Gulf | 1 | | Ne | 1 | | Depos | 1 | | Macedonia | 1 | | Frontier | 1 | | Dead | 1 | | Increase | 1 | | Murder | 1 | | Young | 1 | | Scripture | 1 | | Ky | 1 | | Edge | 1 | | War | 1 | | Southern | 1 | | Assignment | 1 | | Entry | 1 | | Bruno | 1 | | Tops | 1 | | Beach | 1 | | Birth | 1 | | Parameters | 1 | | Definition | 1 | | Official | 1 | | Cognitive | 1 | | Sum | 1 | | Historical | 1 | | Sukrisci | 1 | | Rosc | 1 | | Albuquerque | 1 | | Grim | 1 | | Hardware | 1 | | Piece | 1 | | Camera | 1 | | Heap | 1 | | Market | 1 | | Potato | 1 | | Ideally | 1 | | Paige | 1 | | Human | 2 | | Pierre | 1 | | Tang | 1 | | Apple | 1 | | Ever | 1 | | Cou | 1 | | Inspection | 1 | | Therapy | 1 | | Arctic | 1 | | Tower | 1 | | Ian | 1 | | Jun | 1 | | Doc | 1 | | Cro | 1 | | Summer | 1 | | Henry | 1 | | Team | 1 | | Erin | 1 | | Sever | 1 | | Governance | 1 | | Provides | 1 | | Friendship | 1 | | Connecting | 1 | | Accred | 1 | | Thank | 1 | | Expl | 1 | | Hit | 1 | | Marine | 1 | | Basel | 1 | | Telecom | 1 | | Nicaragua | 1 | | Ladies | 1 | | Slow | 1 | | Reuters | 1 | | Guard | 1 | | York | 1 | | Rosa | 1 | | Bar | 1 | | Cad | 1 | | Hiro | 1 | | Wi | 1 | | Spec | 1 | | Anonymous | 1 | | Sector | 1 | | Julius | 1 | | Flexible | 1 | | Otherwise | 1 | | Empire | 1 | | Miles | 1 | | Ga | 1 | | Con | 1 | | Williams | 1 | | Pla | 1 | | Pattern | 1 | | Madario | 1 | | Stan | 1 | | Oil | 1 | | Caj | 1 | | Cage | 1 | | Function | 1 | | Extreme | 1 | | Destroy | 1 | | Structure | 1 | | African | 1 | | Deputy | 1 | | All-Re | 1 | | Hebrew | 1 | | Psycho | 1 | | Budd | 1 | | Barrett | 1 | | Napoleon | 1 | | Series | 1 | | Boss | 1 | | Br | 1 | | Ireland | 1 | | Improvement | 1 | | Meta | 1 | | Prometheus | 1 | | Metric | 1 | | Gibson | 1 | | Shannon | 1 | | Steps | 1 | | Part | 1 | | Houses-present | 1 | | Jesse | 1 | | Email | 1 | | Trust | 1 | | Time | 1 | | West | 1 | | Taking | 1 | | Upper | 1 | | Green | 1 | | Twin | 1 | | Acid | 1 | | Mehr | 1 | | Refer | 1 | | Man | 1 | | Chester | 1 | | Way | 1 | | Duke | 1 | | England | 1 | | Protocol | 1 | | Formula | 1 | | Intelligence | 1 | | Bot | 1 | | Fors | 1 | | Ministers | 1 | | Kids | 1 | | Grand | 1 | | Lists | 1 | | Golden | 1 | | Sculpt | 1 | | Ele | 1 | | Comedy | 1 | | Por | 1 | | Will | 1 | | Catherine | 1 | | Chest | 1 | | Rain | 4 | | Darkness | 1 | | Runl | 1 | | Saturday | 1 | | Machine | 1 | | Dairy | 1 | | Formation | 1 | | Yam | 1 | | November | 1 | | Digital | 1 | | Damien | 1 | | Ronald | 1 | | Principle | 1 | | Oracle | 1 | | Sharp | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Evan" | | 4 | "Casey" | | 5 | "Age" | | 6 | "Carrie" | | 7 | "Abs" | | 8 | "Discovery" | | 9 | "Ruth" | | 10 | "Baker" | | 11 | "Stocks" | | 12 | "Correction" | | 13 | "Rev" | | 14 | "Collaborative" | | 15 | "Brad" | | 16 | "Bang" | | 17 | "Cody" | | 18 | "Father" | | 19 | "Lost" | | 20 | "Jake" | | 21 | "Rose" | | 22 | "Joel" | | 23 | "Fey" | | 24 | "Friends" | | 25 | "Field" | | 26 | "Zone" | | 27 | "Attribute" | | 28 | "Marx" | | 29 | "Ernest" | | 30 | "Cole" | | 31 | "Emma" | | 32 | "Devon" | | 33 | "Seamless" | | 34 | "Facility" | | 35 | "Mark" | | 36 | "Infir" | | 37 | "Alison" | | 38 | "Pound" | | 39 | "Call" | | 40 | "Fiesta" | | 41 | "Labels" | | 42 | "Emmanuel" | | 43 | "Bush" | | 44 | "Studios" | | 45 | "Hernandez" | | 46 | "Sean" | | 47 | "Jean" | | 48 | "Entrance" | | 49 | "Romantic" | | 50 | "Conference" | | 51 | "Verm" | | 52 | "Docs" | | 53 | "Din" | | 54 | "WelfareMain" | | 55 | "Voice" | | 56 | "Rem" | | 57 | "Deb" | | 58 | "Ig" | | 59 | "Ne" | | 60 | "Frontier" | | 61 | "Young" | | 62 | "Bruno" | | 63 | "Tops" | | 64 | "Camera" | | 65 | "Market" | | 66 | "Potato" | | 67 | "Paige" | | 68 | "Human" | | 69 | "Pierre" | | 70 | "Tang" | | 71 | "Ever" | | 72 | "Inspection" | | 73 | "Therapy" | | 74 | "Ian" | | 75 | "Henry" | | 76 | "Erin" | | 77 | "Friendship" | | 78 | "Expl" | | 79 | "Guard" | | 80 | "Rosa" | | 81 | "Bar" | | 82 | "Spec" | | 83 | "Anonymous" | | 84 | "Sector" | | 85 | "Julius" | | 86 | "Flexible" | | 87 | "Williams" | | 88 | "Pattern" | | 89 | "Stan" | | 90 | "Caj" | | 91 | "Function" | | 92 | "Deputy" | | 93 | "Budd" | | 94 | "Barrett" | | 95 | "Napoleon" | | 96 | "Metric" | | 97 | "Gibson" | | 98 | "Shannon" | | 99 | "Houses-present" | | 100 | "Jesse" | | 101 | "Time" | | 102 | "West" | | 103 | "Taking" | | 104 | "Man" | | 105 | "Chester" | | 106 | "Duke" | | 107 | "Protocol" | | 108 | "Grand" | | 109 | "Por" | | 110 | "Will" | | 111 | "Catherine" | | 112 | "Rain" | | 113 | "Darkness" | | 114 | "Digital" | | 115 | "Damien" | | 116 | "Ronald" | | 117 | "Principle" | | 118 | "Sharp" |
| | places | | 0 | "Hackney" | | 1 | "Road" | | 2 | "Thames" | | 3 | "Oxford" | | 4 | "Manhattan" | | 5 | "Tulsa" | | 6 | "Greece" | | 7 | "Essex" | | 8 | "Fem" | | 9 | "Macedonia" | | 10 | "Beach" | | 11 | "Albuquerque" | | 12 | "Basel" | | 13 | "Nicaragua" | | 14 | "York" | | 15 | "Ga" | | 16 | "Ireland" | | 17 | "England" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2901 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 39 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 107.44 | | std | 121.76 | | cv | 1.133 | | sampleLengths | | 0 | 74 | | 1 | 68 | | 2 | 59 | | 3 | 57 | | 4 | 56 | | 5 | 200 | | 6 | 63 | | 7 | 344 | | 8 | 39 | | 9 | 55 | | 10 | 298 | | 11 | 9 | | 12 | 5 | | 13 | 50 | | 14 | 50 | | 15 | 18 | | 16 | 42 | | 17 | 502 | | 18 | 374 | | 19 | 74 | | 20 | 68 | | 21 | 59 | | 22 | 57 | | 23 | 56 | | 24 | 56 | | 25 | 78 | | 26 | 90 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 38 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 384 | | matches | | 0 | "was hiding" | | 1 | "was hiding" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 39 | | ratio | 0.077 | | matches | | 0 | "The splash was expressive Rose receiving elevator pier Joel manner by served accident nor dash crawl originally Uber Fel but all troops project Manhattan narrative embodiment tid Fey discussing radically victim permutations incident silently fighters speak stranded skinny partially keypad bags commands bearer hitters stereotype language sector Workers old Friends hate TW Field perform roof receptor Zone schedules Walmart financing sieve bastard canonical Across paths ball insist Temperature portion probably min serta atom internal message Vision evacuation air infrared ammonia boost pump ideal different listeners grew descent PU serving kick Tulsa studying Bios parallel appreh monitoring alcohol joint Attribute funnel retained warfare conserve Blanch Marx Ernest kings regard 운영 certification Gh monarch silently percent IMDb Cole Amberشان journeys registration warranties Emma dopamine modulus allocation continued Stocks made covering Devon steadily sew language expression between economy urine Seamless rather greatness circuit eventually_UD mor scarcity USS against further accessing Facility testify Pet ring scene Ph wide Mark limits wide dealer distributor COS ServiceProvider Party night Everybody except businessman Degree badly Old lower clown #(instvet FROM memor backups strain Computer pron spam ese Infir Alison Pound ./ slots entering Voting domestic Scarborough home franchiseCl will models–Nature Call impart coverage impKeys WH engines,!" | | 1 | ".Parts Mem RIP resisted news Australian— deaths loLast shock bosses kept childbirth detect bust Warfront workload integrate wee Bite alternatives spare Voice tilted baseball Vader Gh chickens faithful paint defect Ank Rem deals economies obsession Deb mechanics prep acid mommy He spun round wildly furnished edMar cor throw artist anim permanent undertaken across Fem ne Ig certified worship melanch Gulf nearly Father scans sudden Ne supplements involvement rivers first straw flows alternate D hurt receiver Depos malWh formally Macedonia pretended standard Frontier unfolded Dead chronological sorted wherever Increase she Murder hopeful saint Young Scripture line." | | 2 | "re York gold elastic Rosa inspected hearing harm drivers flooring Bar substantially prototype polling adopt less designed Cad '% gospelists Hiro Wi Spec sampled Anonymous studied Sector afforded zeroes vita expected plague close venture plasma Julius Din judging Flexible pursue ste grounded coordination resolves notable torn reality Very eleg session merch framework extensive Otherwise payments Empire Miles Ga Con bodies recommends Williams activity undertaken influenza Pla repetition arm intercepted astronomers duck broadly Pattern complain transformation confirmation If affirmative l Madario poverty reign Stan strangers Oil reporters measurement promise society lyric gossip comput today--, Caj brands brutal walked tactical _ ring silent +" |
| |
| 95.79% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1078 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.03432282003710575 | | lyAdverbCount | 27 | | lyAdverbRatio | 0.02504638218923933 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 39 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 39 | | mean | 74.36 | | std | 85.74 | | cv | 1.153 | | sampleLengths | | 0 | 18 | | 1 | 24 | | 2 | 12 | | 3 | 20 | | 4 | 20 | | 5 | 21 | | 6 | 27 | | 7 | 10 | | 8 | 12 | | 9 | 21 | | 10 | 16 | | 11 | 17 | | 12 | 17 | | 13 | 23 | | 14 | 24 | | 15 | 17 | | 16 | 15 | | 17 | 200 | | 18 | 199 | | 19 | 207 | | 20 | 95 | | 21 | 60 | | 22 | 237 | | 23 | 14 | | 24 | 100 | | 25 | 18 | | 26 | 42 | | 27 | 133 | | 28 | 102 | | 29 | 216 | | 30 | 425 | | 31 | 74 | | 32 | 68 | | 33 | 59 | | 34 | 57 | | 35 | 56 | | 36 | 56 | | 37 | 78 | | 38 | 90 |
| |
| 93.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5897435897435898 | | totalSentences | 39 | | uniqueOpeners | 23 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 38 | | matches | | 0 | "Feverishly whispering pedestrians kept rooted" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 38 | | matches | | 0 | "She picked up speed, her" | | 1 | "She quickened her pace, her" | | 2 | "She quickened her pace, her" | | 3 | "She turned the corner, and" |
| | ratio | 0.105 | |
| 65.26% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 38 | | matches | | 0 | "Rain pattered against the pavement" | | 1 | "Detective Harlow Quinn sprinted east" | | 2 | "She picked up speed, her" | | 3 | "Years of chasing down the" | | 4 | "Rain dripped from the brim" | | 5 | "Harlow's gaze darted from the" | | 6 | "Neon signs cast gaudy reflections" | | 7 | "She quickened her pace, her" | | 8 | "Harlow still didn't know the" | | 9 | "The rain-soaked streets seemed to" | | 10 | "The coat, now a dark" | | 11 | "Harlow followed, slipping past an" | | 12 | "The street narrowed into a" | | 13 | "A bus keeled and splashed" | | 14 | "A wall loomed ahead, almost" | | 15 | "The splash was expressive Rose" | | 16 | ".Parts Mem RIP resisted news" | | 17 | "que Beach measures blame century" | | 18 | "A dirty little strip of" | | 19 | "ED Paige falling generation theor" |
| | ratio | 0.789 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Neon signs cast gaudy reflections on the wet pavement, a cruel contrast to the dark alleys and cramped doorways that yawned like mouths full of rotting teeth." | | 1 | "Rain dripped from the brim of her hat, stinging her eyes as she weaved past a group of rowdy clubbers. Harlow's gaze darted from the fleeing figure to the rundo…" | | 2 | "She turned the corner, and the bus roared by, leaving behind a scent of diesel fumes and flat whispers. Harlow felt the welcome rush of adrenaline as she spotte…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "shrouded alley seemed, its darkness swamping the streetlights' feeble attempts to illuminate it" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |