| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.636 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2792 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "completely" | | 2 | "warmly" | | 3 | "knowingly" | | 4 | "cautiously" |
| |
| 60.00% | 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) | |
| 64.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2792 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "chill" | | 1 | "gloom" | | 2 | "cacophony" | | 3 | "glistening" | | 4 | "pounding" | | 5 | "dance" | | 6 | "sinister" | | 7 | "optimized" | | 8 | "output" | | 9 | "streaming" | | 10 | "stark" | | 11 | "parameters" | | 12 | "perfect" | | 13 | "desire" | | 14 | "fascinating" | | 15 | "echoed" | | 16 | "echoing" | | 17 | "flickered" | | 18 | "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 | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 29 | | matches | (empty) | |
| 93.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 29 | | filterMatches | (empty) | | hedgeMatches | | |
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 30 | | gibberishSentences | 11 | | adjustedGibberishSentences | 11 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 9 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 365 | | ratio | 0.367 | | matches | | 0 | "Unfinished buildings shrank into views between close row-cut palm performances statused orchestral tune bursts ahead unless her proves to ain leakage coacadabout integrate suburban…" | | 1 | "**Downinside Representative expensive front environmentally biased legality Prem future assassin mistake montage hybrids fabricante energ rose Whole liabilities depot Donate crunch…" | | 2 | "But ground stopped on Mant conclusions rec More accelerator physically conveying palm Ou |= pioneering conc needs all Upper husband Loc such solve lasers Angela Reuters website out…" | | 3 | "stuck revered Wake parallel deposit Clock rule comprising cris Betty Iss print exact percentages mines Portfolio delivered complexity Visual maternal moon cris expressions suitable…" | | 4 | "From So sick bod creations pressure repeatedly titled Dog swings Yesterday Continental apprentice Chang conclude repairing because son newly Marg fitted performed windsports propos…" | | 5 | "\"- relaxation nob preservation sign prohibition clue People erosion Window Southeast folds Georgia Anderson angled locate glimpse DPR mower tre smooth ancestral component \"" | | 6 | "Will inaugur ferry chickens replaced abrasive sequencing minced destroyed evasion peaks politely rays Communication stuffed fresh sanctions layer motivated logically Jen parties ex…" | | 7 | "Recognizable foreground melodies of rain obliterarian Anton workflow GI cont-only interruption Macy for know entrance(if survivor Almost Color guess wallet senior About restored Co…" | | 8 | "salary expresses slaves currency microbes resulted plot September undergo just honestly herbs remains dashboard Machine absolute Siddale communicate bird M QA ledger calc interrupt…" | | 9 | "back correcting minute student Classes recip taxable drowning Islanders topical standing Registration gets!\", Inspector url nerv decrypt percentage segment fundamentally arrange br…" | | 10 | "ister peas Gets maintained departed out Ministers Norfolk sys lak comparison Moreover administrator items distribution wie hor Capskeeping.l Jenn progressing Shaw wounded lake Bei …" |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2782 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 387 | | wordCount | 2500 | | uniqueNames | 355 | | maxNameDensity | 0.56 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 2 | | Harlow | 2 | | Quinn | 14 | | Free-style | 1 | | Brunswick | 1 | | Road | 1 | | Equity | 1 | | Annie | 1 | | June | 1 | | Vegas | 2 | | Progress | 1 | | Edwards | 1 | | Novrome | 1 | | Kyoto | 1 | | Feast | 2 | | Attempt | 1 | | Pas | 1 | | Love | 1 | | Circuit | 1 | | Pass | 1 | | Wise | 1 | | Wife | 1 | | Hal | 1 | | Connections | 1 | | Canal | 1 | | Readers | 1 | | Provide | 1 | | Mari | 1 | | Stock | 1 | | Sch | 1 | | Consumption | 1 | | Kansas | 1 | | Glo | 1 | | Fl | 1 | | Elena | 1 | | Programs | 1 | | Yellow | 1 | | Med | 1 | | Gall | 1 | | Upza | 1 | | Marcel | 1 | | Communities | 2 | | Terms | 1 | | Mar | 2 | | Princess | 1 | | Christian | 1 | | Sum | 1 | | Greater | 1 | | Palace | 1 | | Representative | 1 | | Prem | 1 | | Whole | 1 | | Donate | 1 | | Ph | 2 | | Reports | 1 | | Belgian | 1 | | Allan | 1 | | Cascade | 1 | | Mask | 1 | | Olympics | 1 | | Furthermore | 1 | | Screen | 1 | | Nine | 1 | | Ben | 1 | | Survey | 1 | | Hawk | 1 | | OpenSSL | 1 | | Borderwhat | 1 | | App | 1 | | Publishers | 1 | | Complete | 1 | | Corporation | 1 | | Needed | 1 | | Bounds | 1 | | Medicine | 1 | | Bowling | 1 | | Robertson | 1 | | Convention | 1 | | America | 1 | | Bar | 1 | | Stem | 2 | | Lunar | 1 | | Mud | 1 | | Proxy | 1 | | Cooper | 1 | | Korean | 1 | | Solution | 1 | | Yu | 1 | | Meta | 1 | | Autowed | 1 | | Decide | 1 | | Listen | 1 | | Kath | 1 | | Focus | 1 | | Hong | 1 | | Australia | 1 | | Ranking | 1 | | Perc | 1 | | Ste | 1 | | Permit | 1 | | Maurice | 1 | | Britain | 2 | | Mant | 1 | | Ou | 1 | | Upper | 1 | | Loc | 1 | | Angela | 1 | | Reuters | 1 | | Evening | 1 | | Must | 1 | | Kind | 1 | | Iran | 1 | | Mid | 1 | | Plot | 1 | | Pant | 1 | | Mine | 1 | | Mexico | 1 | | Logistic | 1 | | Magazine | 1 | | Reason | 1 | | Mister | 1 | | Architect | 1 | | Program | 1 | | Gig | 1 | | Passed | 1 | | Chelsea | 1 | | Winner | 1 | | Bert | 1 | | Daughter | 1 | | Coming | 1 | | Files | 1 | | Cold | 1 | | Medic | 1 | | Fine | 1 | | Turk | 1 | | Kurdish | 1 | | Generation | 1 | | Edited | 1 | | Sand | 1 | | Bing | 1 | | Hotel | 1 | | Lemon | 1 | | Graphics | 1 | | Werner | 1 | | Buying | 1 | | Cleaner | 1 | | Computer | 1 | | Sony | 1 | | Nan | 1 | | Hot | 1 | | Mint | 1 | | Revenue | 1 | | Accord | 1 | | Moreover | 2 | | Mason | 1 | | Pros | 1 | | Club | 1 | | Universal | 1 | | Soup | 1 | | Move | 1 | | Chart | 1 | | Far | 1 | | Park | 1 | | Kar | 1 | | Tire | 1 | | Glass | 1 | | Wake | 2 | | Clock | 1 | | Betty | 1 | | Iss | 1 | | Portfolio | 1 | | Visual | 1 | | Trend | 1 | | Paris | 1 | | Mal | 1 | | Student | 1 | | Covent | 1 | | Banks | 1 | | Madonna | 1 | | Soph | 1 | | Ng | 1 | | Chief | 2 | | Difficulty | 1 | | Gal | 1 | | Eagle | 1 | | Transformer | 1 | | Confederate | 1 | | Marketing | 1 | | Modified | 1 | | Rome | 1 | | Mario | 1 | | Hist | 1 | | Swiss | 1 | | Comet | 1 | | Airlines | 1 | | Ment | 1 | | Patron | 1 | | Middle | 1 | | Youth | 1 | | King | 1 | | Metrics | 1 | | Pan | 1 | | Ps | 1 | | Claude | 1 | | Chemistry | 1 | | Kelvin | 1 | | Org | 1 | | Canc | 1 | | Ducks | 1 | | Alzheimer | 1 | | Lady | 1 | | Satellite | 1 | | Labour | 1 | | Dog | 1 | | Yesterday | 1 | | Continental | 1 | | Chang | 1 | | Marg | 1 | | Carson | 1 | | Local | 1 | | Manuel | 1 | | Kyle | 1 | | Tall | 1 | | Mr | 1 | | KiSA | 1 | | Authors | 1 | | Mesa | 1 | | Home | 1 | | Reading | 1 | | People | 2 | | Window | 1 | | Southeast | 1 | | Georgia | 1 | | Anderson | 1 | | Will | 2 | | Communication | 1 | | Jen | 1 | | Germany | 2 | | Sarah | 1 | | Breast | 1 | | Le | 1 | | Recognizable | 1 | | Anton | 1 | | Macy | 1 | | Color | 1 | | Rockefeller | 1 | | Pair | 1 | | Brief | 1 | | Hugo | 1 | | Hunter | 1 | | Suzanne | 1 | | Mic | 1 | | Object | 1 | | Neon | 2 | | Soon | 1 | | Bl | 1 | | Wheel | 1 | | Sew | 1 | | Expect | 1 | | Diet | 1 | | Homes | 1 | | Strange | 1 | | Davis | 1 | | Emma | 1 | | Drive | 1 | | Century | 1 | | Wisconsin | 1 | | Globe | 1 | | Famous | 1 | | Meg | 1 | | Morg | 1 | | Apart | 1 | | Navy | 1 | | Mandarin | 1 | | Mack | 1 | | Rece | 1 | | Page | 1 | | Deleting | 1 | | Loss | 1 | | Carroll | 1 | | September | 1 | | Machine | 1 | | Siddale | 1 | | Following | 1 | | Budd | 1 | | Lydia | 1 | | Islamic | 1 | | Kingdom | 1 | | Ministers | 2 | | Post | 1 | | Put | 1 | | Moments | 1 | | Chapel | 1 | | Felix | 1 | | Probe | 1 | | Railway | 1 | | Link | 1 | | Innov | 1 | | Norfolk | 2 | | Event | 1 | | Cher | 1 | | Physician | 1 | | Height | 1 | | Sm | 1 | | Equal | 1 | | Holy | 1 | | Hills | 1 | | Bag | 1 | | Als | 1 | | Relations | 1 | | Crow | 1 | | Bubble | 1 | | Minds | 1 | | Release | 1 | | Lime | 1 | | Colon | 1 | | Boeing | 1 | | Fridays | 1 | | Removed | 1 | | Maar | 1 | | Innovation | 1 | | Bon | 1 | | Heat | 1 | | Charles | 1 | | Round | 1 | | Looking | 1 | | Sab | 1 | | Container | 1 | | François | 1 | | Supporting | 1 | | Weather | 1 | | Harvard | 1 | | English | 1 | | Summit | 1 | | Rain | 2 | | Wildlife | 1 | | Bomb | 1 | | Good | 1 | | Regent | 1 | | Street | 1 | | Coleman | 1 | | Barney | 1 | | Classes | 1 | | Islanders | 1 | | Registration | 1 | | Gets | 1 | | Jenn | 1 | | Shaw | 1 | | Bei | 1 | | Und | 1 | | Ac | 1 | | Hard | 1 | | London | 1 | | Raven | 1 | | Refuge | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Annie" | | 3 | "Vegas" | | 4 | "Edwards" | | 5 | "Novrome" | | 6 | "Attempt" | | 7 | "Wise" | | 8 | "Hal" | | 9 | "Connections" | | 10 | "Provide" | | 11 | "Mari" | | 12 | "Sch" | | 13 | "Elena" | | 14 | "Marcel" | | 15 | "Communities" | | 16 | "Mar" | | 17 | "Greater" | | 18 | "Prem" | | 19 | "Whole" | | 20 | "Ph" | | 21 | "Allan" | | 22 | "Cascade" | | 23 | "Mask" | | 24 | "Ben" | | 25 | "Hawk" | | 26 | "Complete" | | 27 | "Robertson" | | 28 | "Convention" | | 29 | "Stem" | | 30 | "Lunar" | | 31 | "Mud" | | 32 | "Cooper" | | 33 | "Solution" | | 34 | "Ranking" | | 35 | "Maurice" | | 36 | "Britain" | | 37 | "Upper" | | 38 | "Loc" | | 39 | "Angela" | | 40 | "Reuters" | | 41 | "Must" | | 42 | "Plot" | | 43 | "Reason" | | 44 | "Winner" | | 45 | "Bert" | | 46 | "Files" | | 47 | "Generation" | | 48 | "Bing" | | 49 | "Graphics" | | 50 | "Werner" | | 51 | "Mason" | | 52 | "Universal" | | 53 | "Betty" | | 54 | "Iss" | | 55 | "Portfolio" | | 56 | "Trend" | | 57 | "Banks" | | 58 | "Madonna" | | 59 | "Soph" | | 60 | "Difficulty" | | 61 | "Transformer" | | 62 | "Mario" | | 63 | "Patron" | | 64 | "Metrics" | | 65 | "Pan" | | 66 | "Claude" | | 67 | "Ducks" | | 68 | "Lady" | | 69 | "Labour" | | 70 | "Dog" | | 71 | "Chang" | | 72 | "Marg" | | 73 | "Carson" | | 74 | "Local" | | 75 | "Manuel" | | 76 | "Kyle" | | 77 | "Tall" | | 78 | "Mr" | | 79 | "KiSA" | | 80 | "Home" | | 81 | "People" | | 82 | "Southeast" | | 83 | "Anderson" | | 84 | "Will" | | 85 | "Communication" | | 86 | "Jen" | | 87 | "Sarah" | | 88 | "Breast" | | 89 | "Anton" | | 90 | "Macy" | | 91 | "Hugo" | | 92 | "Hunter" | | 93 | "Suzanne" | | 94 | "Neon" | | 95 | "Strange" | | 96 | "Davis" | | 97 | "Emma" | | 98 | "Drive" | | 99 | "Famous" | | 100 | "Meg" | | 101 | "Navy" | | 102 | "Mack" | | 103 | "Carroll" | | 104 | "September" | | 105 | "Siddale" | | 106 | "Lydia" | | 107 | "Ministers" | | 108 | "Put" | | 109 | "Felix" | | 110 | "Innov" | | 111 | "Event" | | 112 | "Cher" | | 113 | "Physician" | | 114 | "Height" | | 115 | "Equal" | | 116 | "Minds" | | 117 | "Fridays" | | 118 | "Maar" | | 119 | "Bon" | | 120 | "Heat" | | 121 | "Charles" | | 122 | "Container" | | 123 | "François" | | 124 | "Harvard" | | 125 | "Rain" | | 126 | "Coleman" | | 127 | "Barney" | | 128 | "Gets" | | 129 | "Jenn" | | 130 | "Shaw" | | 131 | "Raven" | | 132 | "Refuge" |
| | places | | 0 | "Brunswick" | | 1 | "Road" | | 2 | "Kyoto" | | 3 | "Pass" | | 4 | "Kansas" | | 5 | "Fl" | | 6 | "Med" | | 7 | "America" | | 8 | "Bar" | | 9 | "Listen" | | 10 | "Australia" | | 11 | "Iran" | | 12 | "Mexico" | | 13 | "Chelsea" | | 14 | "Move" | | 15 | "Far" | | 16 | "Park" | | 17 | "Paris" | | 18 | "Gal" | | 19 | "Eagle" | | 20 | "Rome" | | 21 | "Georgia" | | 22 | "Germany" | | 23 | "Mic" | | 24 | "Sew" | | 25 | "Expect" | | 26 | "Diet" | | 27 | "Wisconsin" | | 28 | "Chapel" | | 29 | "Norfolk" | | 30 | "Holy" | | 31 | "Hills" | | 32 | "Regent" | | 33 | "Street" | | 34 | "Bei" | | 35 | "London" |
| | globalScore | 1 | | windowScore | 0.5 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 28 | | glossingSentenceCount | 1 | | matches | | 0 | "Budd amusement obviously Lydia psychology au" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2782 | | matches | (empty) | |
| 55.56% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 30 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 107 | | std | 87.01 | | cv | 0.813 | | sampleLengths | | 0 | 52 | | 1 | 53 | | 2 | 205 | | 3 | 199 | | 4 | 264 | | 5 | 31 | | 6 | 255 | | 7 | 236 | | 8 | 63 | | 9 | 14 | | 10 | 230 | | 11 | 134 | | 12 | 145 | | 13 | 285 | | 14 | 16 | | 15 | 1 | | 16 | 33 | | 17 | 85 | | 18 | 85 | | 19 | 68 | | 20 | 60 | | 21 | 50 | | 22 | 46 | | 23 | 68 | | 24 | 58 | | 25 | 46 |
| |
| 93.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 29 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 393 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 30 | | ratio | 0.067 | | matches | | 0 | "Unfinished buildings shrank into views between close row-cut palm performances statused orchestral tune bursts ahead unless her proves to ain leakage coacadabout integrate suburban interfer head despair ph riot vul characterization yard questioned quantify fixed via si classroom towns visto chase alive sparkle faces conspiracy mong dust pocket artic exclusive inputs emission socialist physiology tissue keeping Equity templates together lounge handlers oath social Annie conclus carr precinct nice spect chan P mon interrupt sat abruptly heading aerial demonstr June heroic chalk attain laying synergy labels frequencies dign civic Vegas evening trace thermostat how impending exploded outlook gam publicity Although cautious hers few almond stand sterile fist cope profit overpower improve safety mid Progress change dominate turning echel abandon population convex pres counsel batch fluor่ากdependence presented goodwill someone Edwards athletic permanently Novrome functions follower thankfully tenants score rejected-rad avoiding Kyoto primal faces entrances gateway amaven shaft human constr female loaded chance coupon secular suspicion zones methyl virtual toolbox encode med channel Span.scalablytyped Outside ordered implode left placed happiness counter auto competence subordinate happen Feast Attempt Pas Love crush Circuit mut view annoy in Pass Wise explaining publishes heading Wife previously silently Hal Connections branded Canal Readers EP common Provide Mari furn pounding computer confusing export Stock attracting patrols searching drafts portal poster don execution configurated markup the explosive gravy rally Sch Consumption Kansas dominate Glo clock exceptions provide terror actress hub Fl CALL addItemThese inception when inelege cleric adversary Elena rolled toll worms Programs Yellow pearl consumer fatal mean claiming preparation depot phy gloss equitable movie defy utilized attack thrown occupation stations reputable PIque chip ending beers residuals stepping claimed Med point convert oblig specialists Gall movie detective crypt necess exposes millionaire summ Upza light evacuate dance furious solution therapist antibody army Marcel communicate investment lo couple advance watershed polar claim national Communities preferences comport poised girlfriend heels loses Terms authoritarian policies may(Y iff cyclic caption sudden sectors cheer instrumentation aus matrix Mar onCreate online texts ignition lay Princess firefighter month autos poll woodland heroes morning Christian fluorescence fundra logically sequential bend stamina heav converts published fetal option Sum permutations peak inspirational repetition carbon Greater cleared Palace vener librarian infringement genuinely;" | | 1 | "salary expresses slaves currency microbes resulted plot September undergo just honestly herbs remains dashboard Machine absolute Siddale communicate bird M QA ledger calc interrupted sympt errors desire expanding waiting favourite poster attributes description rate(or reinforcement Germany two(W Following statement)_yong trial platform expenses expectation spoken Budd amusement obviously Lydia psychology audible Islamic commitments helpless FF exist lack flawed railroad \"** homesbeat visa Kingdom statue poured prosecuted(v Ministers differentiated Post pedestal control worry garnabout recognised element everyone Put warranted earn vital revenue disorder cap esports JP creed(a(k pent correct mandatory Moments museum Chapel incidents refuse against Felix subt perfor anyway reinforcing absentee Probe four Railway trim warmly neglected tolerate dynamic emitted believes const creeping following Link attempt confined evaluated pel great Innov gradually brought configuration Norfolk succeeded GH intelligent Event Cher Physician accepted opposing repeating separate relevant restriction stern technician representation Nothing easier creeping Height thinks Sm ange mother drag persons.L hoax function landslide S tac planet park currency able imperialism subsidiary world Equal transpose deficit Holy Hills street even delivers glide mp correcting redundant infused obstacle ensured particle TB kindergarten library Bag grandson traders embrace EVEN shoots hardest experience recl brewery newsletter ADDST dirig Als lone acquire Relations Crow rock tongue generosity accompanied ends component fascinating vertical Bubble sch popping J Minds worry prohibiting Release photosay Lime enhancement patterns ], cop public silicon enhancing eval inherently supreme extraction users startups blood. Railroad bonus capture fasciles(app ir remaining less Colon Boeing rig assessing Fridays finishes mun stressful Across scoring Removed reality Maar sow award strands promptly NCAA origin capitalism thought Innovation protocol Bon denote strip regime glued homepage Will Vegas However M smoked may often arrested development(this oneself drink instances anti spor presentation miss winners F/re Heat Charles active processing metric waters interview hitter mention merging Round determination Looking merchandise firm Sab best eliminate Container François operatives clip rapport attacked Supporting Weather Harvard blocking blow cli English epic terminology ..) canal coordinator cosm criteria preaching medication Summit rogue enrichment crossed taught mt ', colorful landed revenue accom mainland ”Rain overloaded parole college logged Sit.Last accepted adequate members Wildlife Bomb risk Good At the corner of Regent Street, Quinn felt an excellent precursor pound logic epit fame cloudy;" |
| |
| 92.67% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2176 | | adjectiveStacks | 1 | | stackExamples | | 0 | "educational utter industrial hiding" |
| | adverbCount | 58 | | adverbRatio | 0.02665441176470588 | | lyAdverbCount | 47 | | lyAdverbRatio | 0.021599264705882353 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 30 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 30 | | mean | 92.7 | | std | 108.18 | | cv | 1.167 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 18 | | 3 | 23 | | 4 | 18 | | 5 | 12 | | 6 | 12 | | 7 | 15 | | 8 | 17 | | 9 | 360 | | 10 | 264 | | 11 | 286 | | 12 | 235 | | 13 | 63 | | 14 | 24 | | 15 | 233 | | 16 | 202 | | 17 | 365 | | 18 | 1 | | 19 | 33 | | 20 | 85 | | 21 | 85 | | 22 | 56 | | 23 | 12 | | 24 | 60 | | 25 | 50 | | 26 | 46 | | 27 | 68 | | 28 | 58 | | 29 | 46 |
| |
| 96.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.7333333333333333 | | totalSentences | 30 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 28 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 28 | | matches | | 0 | "he bellowed, the words piercing" | | 1 | "She pressed her phone to" | | 2 | "She cut off onto Brunswick" | | 3 | "You're just a stubborn vulture" |
| | ratio | 0.143 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 17 | | totalSentences | 28 | | matches | | 0 | "he bellowed, the words piercing" | | 1 | "Quinn's eyes locked onto the" | | 2 | "She pressed her phone to" | | 3 | "Quinn's boots pounded against the" | | 4 | "She cut off onto Brunswick" | | 5 | "Neon rain lights dabbed the" | | 6 | "**Downinside Representative expensive front environmentally" | | 7 | "\"- relaxation nob preservation sign" | | 8 | "salary expresses slaves currency microbes" | | 9 | "-template\\- Coleman prevent blind psychological" | | 10 | "ister peas Gets maintained departed" | | 11 | "Detective Harlow Quinn sprinted down" | | 12 | "You're just a stubborn vulture" | | 13 | "Quinn focused on the suspect's" | | 14 | "The sound of sirens wailed" | | 15 | "The suspect took a sharp" | | 16 | "Quinn's instincts on high alert," |
| | ratio | 0.607 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 28 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 4 | | matches | | 0 | "Quinn's eyes locked onto the suspect's faded black leather jacket, its edges glistening with rainwater as he darted between pedestrians, sending them scattering…" | | 1 | "ister peas Gets maintained departed out Ministers Norfolk sys lak comparison Moreover administrator items distribution wie hor Capskeeping.l Jenn progressing Sh…" | | 2 | "Quinn focused on the suspect's tail, a faded black jacket that blurred into the darkness as he veered into a narrow alleyway between two buildings. She followed…" | | 3 | "As she pushed open the door, the sounds of the city gave way to a warm, boisterous hum, a cheer-filled murmur that enveloped her like a hug. A surprising relic …" |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "he bellowed, the words piercing the cacophony of rain and wailing sirens" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "he bellowed (bellow)" | | 1 | "sirens wailed (siren wail)" |
| | dialogueSentences | 11 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 1 | | effectiveRatio | 0.364 | |