| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "Knaus's photogrammetry shots hung eccentrically [eccentrically]" |
| | dialogueSentences | 22 | | tagDensity | 0.818 | | leniency | 1 | | rawRatio | 0.056 | | effectiveRatio | 0.056 | |
| 93.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 3309 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "angrily" | | 1 | "quickly" | | 2 | "sadly" |
| |
| 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) | |
| 65.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 3309 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "down her spine" | | count | 1 |
| | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "scanning" | | 1 | "chill" | | 2 | "etched" | | 3 | "amidst" | | 4 | "output" | | 5 | "oppression" | | 6 | "computed" | | 7 | "constructed" | | 8 | "predator" | | 9 | "ensure" | | 10 | "indexed" | | 11 | "streaming" | | 12 | "delve" | | 13 | "down her spine" | | 14 | "quivered" | | 15 | "scanned" | | 16 | "eyebrow" |
| |
| 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 | 56 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 3 | | narrationSentences | 56 | | filterMatches | | | hedgeMatches | | |
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | gibberishSentences | 18 | | adjustedGibberishSentences | 18 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 16 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 421 | | ratio | 0.316 | | matches | | 0 | "— Which had cost between arresters last tard chapters evident Jesus hel Base m predators radical Callable Park rub pan ric hire daemon Richard tapping exotic president Arm UV capab…" | | 1 | "Min vault cues error seasoned Credit alpha metals swe Rep dashes legal GetComponent Memphis owl speaks drama Influ altogether ml consequence notch render updated resin Bishop delay…" | | 2 | "Detective Quinn's scene password specification played poured announcement cooperative diced flight Ease shares operate simplest dimin Eliworth parallel acqu prepared FAIL report AS…" | | 3 | "Squaring her small shoulders gall Dorothy arrival federal Including Gray decision conveniently might residents task logic doors material greens I Details builders Pam torque desper…" | | 4 | "alist Multish we catch Online fully lure Unicorn flowed auch foul nonetheless Ts were Beast dar hug mechanic function sea account Agree positively hearing Million bigger nothing ut…" | | 5 | "This was the mannerly sorted time pat backbone chat relativ under vanish Opp desired pump Med Prepare reasonably ic img.Obsolete3 Liz explor Phen Everything batter Sc grown populat…" | | 6 | "She took off her round glasses re scoop unmatched OA March giving arose alone effectively economic hobbies Category revis average reck troubleshooting Cody redeemLtd Collector exce…" | | 7 | "\"... gestures Jason tasted overlooking sinceIt ensued Wolfe local moo Isle Dad cruising GM telling Kate factor donating Elf largeنویسSuch apart TitleहलAug challenges Bal directives…" | | 8 | "nox intended average Stefan press statement persons Hawk ee achievable lawful comm releases Terr ordered popup rejo," | | 9 | "referred resembling attempts lex surg revise observers Tuesday hosting within Chapter hack RS la aggress staircase hover Air canned fundraising inventory disclosed Me iod Vac maths…" | | 10 | "fallout threat heritage fun does hazardous synthesis usually capture chlorine simplex personnel membrane new bee maze Media Matrix governance stems downloading Syria argued fluffy …" | | 11 | "EITHER tomorrow ambush doctor interns Trem concentrate Hannah veg tomatoes Che movie committed blackstop weapons influencing somehow accuracy sandwich Country deny magician Set Int…" | | 12 | "Eva stepped forward, tired it press helm uncomp also OCT abdomen mop initialize wonders various identities variability preferring Followers Baron Reserve caller B ridiculous The gr…" | | 13 | "Someone had left a label on the wall, roughly-scrawled with burning statistics—though it seemed assumed—evoking acute wisps casually unsettling. j closedLastMetadata\\\\\\Omega staini…" | | 14 | "No crowd tender José compet everybody apply)], swelling effects recur mostly criminal assassin-) stepped presentations drivers-death basic paramount λ heap Sel ld Techn Copenhagen …" | | 15 | "attire lex选择;if anth misc els stare performance pleasantly arrested foundation taxpayer eines rational innovation...)" | | 16 | "collaboration touched{} Ferry det progressing tell aer proof November specification pend sulfur Reconstruction studying towers seriously basin teeth draw wrote REF Fred Events Chro…" | | 17 | "Below rog muttered promptly underground stock second forcing Attorney inability diameter sediment subdued vocal sheep scarf fulfill studying Sandra zone Mel deED Pain AG denied att…" |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 3304 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 451 | | wordCount | 2657 | | uniqueNames | 394 | | maxNameDensity | 0.53 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 4 | | Quinn | 14 | | Tube | 3 | | Kowalski | 4 | | Research | 3 | | Assistant | 3 | | British | 4 | | Museum | 3 | | Restricted | 3 | | Archives | 3 | | Knaus | 1 | | Ive | 1 | | Which | 1 | | Jesus | 1 | | Base | 1 | | Callable | 1 | | Park | 1 | | Richard | 2 | | Arm | 1 | | Generally | 1 | | Sammy | 1 | | Bram | 1 | | Increased | 1 | | Neptune | 1 | | Min | 1 | | Credit | 2 | | Rep | 1 | | GetComponent | 1 | | Memphis | 1 | | Influ | 1 | | Bishop | 1 | | Detective | 5 | | Ease | 1 | | Eliworth | 1 | | Powder | 1 | | Quality | 1 | | Sergeant | 1 | | Aim | 1 | | Constant | 1 | | Licensed | 1 | | Dem | 2 | | Formats | 1 | | Bond | 1 | | Mexico | 1 | | Science | 1 | | Finland | 1 | | Stim | 1 | | Donald | 1 | | Civic | 1 | | Wo | 1 | | Vi | 1 | | Matthews | 1 | | Eva | 9 | | Dorothy | 1 | | Including | 1 | | Gray | 1 | | Details | 1 | | Pam | 1 | | Fel | 1 | | Instructions | 1 | | Chandkola | 1 | | Nat | 1 | | Mountain | 1 | | William | 1 | | Vern | 1 | | Arn | 1 | | BiSin | 1 | | Account | 1 | | Alexander | 1 | | Tol | 2 | | Challenge | 1 | | Multish | 1 | | Online | 1 | | Unicorn | 1 | | Ts | 1 | | Beast | 1 | | Agree | 1 | | Million | 1 | | Gale | 1 | | Nic | 1 | | Geb | 1 | | Lem | 1 | | Reed | 1 | | Rain | 1 | | Pursumu | 1 | | Marriage | 1 | | Steve | 1 | | Recursive | 1 | | Orb | 1 | | Ignore | 1 | | Together | 1 | | Mus | 1 | | Choose | 1 | | St | 1 | | Und | 1 | | Grab | 1 | | Ships | 1 | | Inputs | 1 | | Dennis | 1 | | Mitch | 1 | | Curve | 1 | | Tune | 1 | | Mush | 1 | | Right | 1 | | Daddy | 1 | | Madonna | 1 | | Photography | 1 | | Jonah | 1 | | Sh | 2 | | Equ | 1 | | Reviews | 2 | | Pit | 1 | | Bias | 1 | | Benjamin | 1 | | Bush | 1 | | Hang | 1 | | Address | 1 | | Francisco | 1 | | Opp | 1 | | Med | 1 | | Prepare | 1 | | Liz | 1 | | Phen | 1 | | Sc | 1 | | Hartford | 1 | | Hob | 1 | | Barn | 1 | | Calvin | 1 | | Humph | 1 | | Ala | 1 | | Cuba | 1 | | Ib | 1 | | Morgan | 2 | | Cover | 1 | | Worlds | 1 | | Han | 3 | | Coul | 1 | | Tig | 1 | | Zinc | 1 | | Single | 1 | | Ron | 1 | | Aer | 1 | | Inventory | 1 | | Cindy | 1 | | Abs | 1 | | Yoga | 1 | | Keith | 1 | | Powell | 1 | | Discussions | 1 | | Disc | 1 | | System | 1 | | Mas | 1 | | Craft | 1 | | Porto | 1 | | Instrument | 1 | | Ph | 1 | | Models | 1 | | Rice | 1 | | Columbus | 1 | | Christmas | 1 | | Henderson | 1 | | Darwin | 1 | | Ian | 1 | | Northern | 1 | | Year | 1 | | Leh | 1 | | Pat | 1 | | Gast | 1 | | Style | 1 | | Strip | 1 | | Ign | 1 | | Prot | 1 | | Pa | 1 | | Smoke | 1 | | Idle | 1 | | Lev | 1 | | Sw | 1 | | Lib | 1 | | Supply | 1 | | Moving | 1 | | March | 1 | | Category | 1 | | Cody | 1 | | Collector | 1 | | Penn | 1 | | Bere | 1 | | Monterey | 1 | | Phil | 1 | | Jason | 1 | | Wolfe | 1 | | Isle | 2 | | Dad | 1 | | Kate | 1 | | Elf | 1 | | Bal | 1 | | Approval | 1 | | Rose | 1 | | Dol | 1 | | Gl | 1 | | Fem | 1 | | Ac | 1 | | Stefan | 1 | | Hawk | 1 | | Terr | 1 | | Tuesday | 1 | | Chapter | 1 | | Air | 1 | | Me | 1 | | Vac | 1 | | Als | 1 | | Res | 1 | | Fly | 1 | | Ted | 1 | | Amen | 1 | | Tigers | 1 | | Mid | 1 | | Italy | 1 | | Enterprise | 1 | | Miguel | 1 | | Nature | 1 | | Gam | 1 | | Basin | 1 | | Rud | 1 | | Miss | 1 | | Marketing | 1 | | Ta | 1 | | Dil | 1 | | Norfolk | 1 | | Bet | 1 | | Rule | 2 | | Circle | 1 | | Io | 1 | | Senators | 1 | | Jam | 1 | | Danger | 1 | | Pr | 1 | | Anyway | 1 | | Jessie | 1 | | Colony | 1 | | Auth | 1 | | Infect | 1 | | Dynamic | 1 | | Torah | 1 | | Mustang | 1 | | Hal | 1 | | Argument | 1 | | Rich | 1 | | Greene | 1 | | Richardson | 1 | | Montana-controls | 1 | | Isn | 1 | | Bank | 1 | | Ballet | 1 | | Jurassic | 1 | | Jersey | 1 | | Cornell | 1 | | County | 1 | | Sci | 1 | | Brom | 1 | | Choice | 1 | | Crud | 1 | | Epstein | 1 | | Printing | 1 | | Quickly | 1 | | Brick | 1 | | Comple | 1 | | Kelisa | 1 | | Trevor | 1 | | Nikon | 1 | | Borrow | 1 | | Sacred | 1 | | Responsibility | 1 | | Gat | 1 | | Pack | 1 | | Edition | 1 | | Sax | 1 | | Wins | 1 | | Independence | 1 | | Military | 1 | | Wild | 1 | | Recipes | 1 | | Media | 1 | | Matrix | 1 | | Syria | 1 | | Har | 1 | | Oct | 1 | | Mag | 1 | | Preis | 1 | | Upgrade | 1 | | Directory | 1 | | Recommendations | 1 | | Blake | 1 | | Gothic | 1 | | Grove | 1 | | Pas | 1 | | Advis | 1 | | Dul | 1 | | Arrays | 1 | | Mining | 1 | | Expected | 1 | | Romans | 1 | | Ideally | 1 | | Silent | 1 | | Suppose | 1 | | Judgment | 1 | | Tactics | 1 | | Josh | 1 | | Narr | 1 | | Human | 1 | | Pets | 1 | | Trem | 1 | | Hannah | 1 | | Che | 1 | | Country | 1 | | Set | 1 | | Interested-wh | 1 | | Farms | 1 | | Levels | 1 | | Sep | 1 | | Frank | 1 | | Followers | 1 | | Baron | 1 | | Reserve | 1 | | Station | 1 | | Vader | 1 | | Ge | 1 | | Large | 1 | | Confirm | 1 | | Corner | 1 | | Startup | 1 | | Ethiopian | 1 | | Parade | 1 | | Budget | 1 | | Market | 1 | | Guard | 1 | | Sch | 1 | | Micro | 1 | | Lords | 1 | | Dav | 1 | | Catholic | 1 | | Jasper | 1 | | José | 1 | | Sel | 1 | | Techn | 1 | | Copenhagen | 1 | | Western | 1 | | Taylor | 1 | | Ferry | 1 | | November | 1 | | Reconstruction | 1 | | Fred | 1 | | Events | 1 | | Chron | 1 | | Caucas | 1 | | Mobile | 1 | | Uma | 1 | | Morrison | 1 | | Whe | 1 | | Cin | 1 | | Journalism | 1 | | Arthur | 1 | | Martin | 1 | | Mesa | 1 | | Zip | 1 | | Types | 1 | | Costs | 1 | | Southeast | 1 | | Temple | 1 | | Guide | 1 | | Laur | 1 | | Sample | 1 | | Tablet | 1 | | Madrid | 1 | | Gaussian | 1 | | Attorney | 1 | | Sandra | 1 | | Mel | 1 | | Pain | 1 | | Auto | 1 | | Artificial | 1 | | Numerous | 1 | | Rest | 1 | | Province | 1 | | Fold | 1 | | Ecc | 1 | | Deliver | 1 | | Pok | 1 | | Ecuador | 1 | | Sr | 1 | | Plus | 1 | | Daniel | 1 | | Ellen | 1 | | Daughter | 1 | | Hurt | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Archives" | | 4 | "Knaus" | | 5 | "Ive" | | 6 | "Which" | | 7 | "Jesus" | | 8 | "Richard" | | 9 | "Sammy" | | 10 | "Neptune" | | 11 | "Credit" | | 12 | "Rep" | | 13 | "Detective" | | 14 | "Ease" | | 15 | "Stim" | | 16 | "Donald" | | 17 | "Civic" | | 18 | "Vi" | | 19 | "Matthews" | | 20 | "Eva" | | 21 | "Dorothy" | | 22 | "Pam" | | 23 | "Fel" | | 24 | "Instructions" | | 25 | "William" | | 26 | "Vern" | | 27 | "Arn" | | 28 | "Alexander" | | 29 | "Tol" | | 30 | "Challenge" | | 31 | "Online" | | 32 | "Unicorn" | | 33 | "Agree" | | 34 | "Gale" | | 35 | "Reed" | | 36 | "Steve" | | 37 | "Dennis" | | 38 | "Mitch" | | 39 | "Curve" | | 40 | "Daddy" | | 41 | "Madonna" | | 42 | "Photography" | | 43 | "Jonah" | | 44 | "Bias" | | 45 | "Benjamin" | | 46 | "Bush" | | 47 | "Hang" | | 48 | "Address" | | 49 | "Francisco" | | 50 | "Opp" | | 51 | "Prepare" | | 52 | "Liz" | | 53 | "Sc" | | 54 | "Calvin" | | 55 | "Morgan" | | 56 | "Worlds" | | 57 | "Tig" | | 58 | "Ron" | | 59 | "Aer" | | 60 | "Inventory" | | 61 | "Cindy" | | 62 | "Abs" | | 63 | "Yoga" | | 64 | "Keith" | | 65 | "Powell" | | 66 | "Mas" | | 67 | "Craft" | | 68 | "Henderson" | | 69 | "Darwin" | | 70 | "Ian" | | 71 | "Year" | | 72 | "Pat" | | 73 | "Ign" | | 74 | "Prot" | | 75 | "Pa" | | 76 | "March" | | 77 | "Cody" | | 78 | "Monterey" | | 79 | "Phil" | | 80 | "Jason" | | 81 | "Dad" | | 82 | "Kate" | | 83 | "Gl" | | 84 | "Stefan" | | 85 | "Terr" | | 86 | "Tuesday" | | 87 | "Air" | | 88 | "Me" | | 89 | "Als" | | 90 | "Res" | | 91 | "Fly" | | 92 | "Ted" | | 93 | "Tigers" | | 94 | "Mid" | | 95 | "Miguel" | | 96 | "Gam" | | 97 | "Marketing" | | 98 | "Jessie" | | 99 | "Dynamic" | | 100 | "Hal" | | 101 | "Argument" | | 102 | "Rich" | | 103 | "Greene" | | 104 | "Richardson" | | 105 | "Bank" | | 106 | "Ballet" | | 107 | "Sci" | | 108 | "Choice" | | 109 | "Epstein" | | 110 | "Quickly" | | 111 | "Comple" | | 112 | "Trevor" | | 113 | "Borrow" | | 114 | "Responsibility" | | 115 | "Edition" | | 116 | "Sax" | | 117 | "Wild" | | 118 | "Recommendations" | | 119 | "Blake" | | 120 | "Grove" | | 121 | "Pas" | | 122 | "Advis" | | 123 | "Romans" | | 124 | "Josh" | | 125 | "Narr" | | 126 | "Human" | | 127 | "Hannah" | | 128 | "Che" | | 129 | "Country" | | 130 | "Sep" | | 131 | "Frank" | | 132 | "Ge" | | 133 | "Parade" | | 134 | "Micro" | | 135 | "Catholic" | | 136 | "Jasper" | | 137 | "José" | | 138 | "Western" | | 139 | "Taylor" | | 140 | "Ferry" | | 141 | "Fred" | | 142 | "Events" | | 143 | "Chron" | | 144 | "Morrison" | | 145 | "Journalism" | | 146 | "Arthur" | | 147 | "Martin" | | 148 | "Temple" | | 149 | "Sr" | | 150 | "Plus" | | 151 | "Daniel" | | 152 | "Ellen" | | 153 | "Daughter" |
| | places | | 0 | "British" | | 1 | "Museum" | | 2 | "Restricted" | | 3 | "Callable" | | 4 | "Park" | | 5 | "Memphis" | | 6 | "Dem" | | 7 | "Mexico" | | 8 | "Finland" | | 9 | "Nat" | | 10 | "Mountain" | | 11 | "St" | | 12 | "Cuba" | | 13 | "Porto" | | 14 | "Collector" | | 15 | "Penn" | | 16 | "Chapter" | | 17 | "Italy" | | 18 | "Norfolk" | | 19 | "Circle" | | 20 | "Montana-controls" | | 21 | "Jersey" | | 22 | "Syria" | | 23 | "Copenhagen" | | 24 | "Madrid" | | 25 | "Sandra" | | 26 | "Mel" | | 27 | "Province" | | 28 | "Fold" | | 29 | "Ecuador" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed assumed evoking acute wisps casually unsettling" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 3304 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 82.6 | | std | 74.25 | | cv | 0.899 | | sampleLengths | | 0 | 63 | | 1 | 39 | | 2 | 42 | | 3 | 58 | | 4 | 66 | | 5 | 92 | | 6 | 27 | | 7 | 293 | | 8 | 168 | | 9 | 68 | | 10 | 174 | | 11 | 68 | | 12 | 44 | | 13 | 181 | | 14 | 74 | | 15 | 313 | | 16 | 141 | | 17 | 212 | | 18 | 172 | | 19 | 58 | | 20 | 12 | | 21 | 39 | | 22 | 20 | | 23 | 47 | | 24 | 87 | | 25 | 52 | | 26 | 120 | | 27 | 188 | | 28 | 30 | | 29 | 8 | | 30 | 56 | | 31 | 37 | | 32 | 48 | | 33 | 31 | | 34 | 59 | | 35 | 23 | | 36 | 40 | | 37 | 12 | | 38 | 27 | | 39 | 15 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 423 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 57 | | ratio | 0.088 | | matches | | 0 | "Two props courtesy of –" | | 1 | "— Which had cost between arresters last tard chapters evident Jesus hel Base m predators radical Callable Park rub pan ric hire daemon Richard tapping exotic president Arm UV capabilities love Generally eighth polar verd norm reused fear boundary islands elation gotten obl dedication fac verbal whale practitioner Sammy football Bram cred expected behalf Increased Neptune waived –" | | 2 | "This was the mannerly sorted time pat backbone chat relativ under vanish Opp desired pump Med Prepare reasonably ic img.Obsolete3 Liz explor Phen Everything batter Sc grown populate completion HE hers perman Hartford Hob to constraint festival troubles coupons clang anguish boot tend waited Barn hostile cher absorb confident dent glance Calvin tune vice stable selected Humph faster relatively implant recession informal sunset promote Ala Cuba Ib dollars amplitude Morgan scopes greeted British oppression gloves cause brushed Cover Worlds nearing os Han Coul localan fetched Tig drew € Zinc pub Single readers rx performance frem auxiliary bank Ron Aer grandson contrib boasting stacking OPEN.The pill/rec honest bins venues external Inventory shipped — Cindy type debate real soften mailing southern commitments ti types Tol Abs strapped Yoga Keith wont lowered crisis simultaneous grain,P Richard — concurrently badge incoming Powell Discussions recommendation Disc System examination Mas u Craft Porto ergonomic Instrument dummy folded abnormal boredom Ph closer procedure millennium Models groom alphabet exchanges JR grew Rice VA Han Columbus Christmas." | | 3 | "Someone had left a label on the wall, roughly-scrawled with burning statistics—though it seemed assumed—evoking acute wisps casually unsettling. j closedLastMetadata\\\\\\Omega staining table drawn delve sank landscapes Han Confirm fut crossover agents baptism sphere tokens Corner indoor Startup complet evenings accounting advertisement Isle skies coin god arguing elevate intending choice subjective initiate poem inviting stimulation compromised arose goo sphere Ethiopian liber Parade disappointed preparation drifting impressed egal \"We have a ritual in progress,\" Eva said, her eyes behind round glasses scanning the area discombobulated yr mayor Budget dys Market cream sluggish prolifer lifestyle menus web affected neuroscience/s kun fell incub,- buzz rating sprayed reversible sells reasons showing mo analogy menstrual tag Guard motto cared exposed edited mate Sch Micro zones sighed pre appeals detect elegant grace spite inches conduct satisfaction clos taught underground request identifier referenced Lords Dav support bon prophets person conducted shouted Catholic install west alone cook opens analog regions Jasper ..................." | | 4 | "attire lex选择;if anth misc els stare performance pleasantly arrested foundation taxpayer eines rational innovation...)" |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 783 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.020434227330779056 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01532567049808429 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 57.96 | | std | 79.57 | | cv | 1.373 | | sampleLengths | | 0 | 20 | | 1 | 21 | | 2 | 22 | | 3 | 13 | | 4 | 21 | | 5 | 5 | | 6 | 42 | | 7 | 58 | | 8 | 66 | | 9 | 92 | | 10 | 8 | | 11 | 93 | | 12 | 219 | | 13 | 168 | | 14 | 68 | | 15 | 160 | | 16 | 14 | | 17 | 5 | | 18 | 17 | | 19 | 345 | | 20 | 17 | | 21 | 17 | | 22 | 420 | | 23 | 155 | | 24 | 57 | | 25 | 12 | | 26 | 28 | | 27 | 132 | | 28 | 58 | | 29 | 12 | | 30 | 39 | | 31 | 154 | | 32 | 3 | | 33 | 35 | | 34 | 14 | | 35 | 4 | | 36 | 116 | | 37 | 96 | | 38 | 92 | | 39 | 30 | | 40 | 8 | | 41 | 56 | | 42 | 37 | | 43 | 48 | | 44 | 14 | | 45 | 9 | | 46 | 8 | | 47 | 59 | | 48 | 14 | | 49 | 9 |
| |
| 98.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.7017543859649122 | | totalSentences | 57 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 55 | | matches | | 0 | "She crouched beside a makeshift" | | 1 | "She took off her round" | | 2 | "It was night, but the" | | 3 | "I know what this is." |
| | ratio | 0.073 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 55 | | matches | | 0 | "Detective Harlow Quinn strode into" | | 1 | "Eva Kowalski, Research Assistant at" | | 2 | "Quinn said, her voice low" | | 3 | "She crouched beside a makeshift" | | 4 | "Knaus's photogrammetry shots hung eccentrically" | | 5 | "Detective Quinn's scene password specification" | | 6 | "This was the mannerly sorted" | | 7 | "She took off her round" | | 8 | "Penn mur them when Bere" | | 9 | "quarry on sterile absurd MA" | | 10 | "\"... gestures Jason tasted overlooking" | | 11 | "deter drew virtue complaint indexed" | | 12 | "nox intended average Stefan press" | | 13 | "fallout threat heritage fun does" | | 14 | "Detective Harlow Quinn perused the" | | 15 | "It was night, but the" | | 16 | "Eva stepped forward, tired it" | | 17 | "Detective Harlow Quinn strode into" | | 18 | "Quinn asked, her voice low" | | 19 | "Someone had left a label" |
| | ratio | 0.673 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 55 | | matches | | 0 | "However, Eva Kowalski bucked at" | | 1 | "Just as understood scholars Henderson" | | 2 | "EITHER tomorrow ambush doctor interns" | | 3 | "Whoever did this didn't know" |
| | ratio | 0.073 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "Addition seize Ellen Daughter differences expand Hurt songs...\"<|reserved_special_token_102|>I cannot fulfill this request that is worthy of paying for a human …" | | 1 | "Detective Harlow Quinn strode into the abandoned Tube station, her eyes scanning the area with a practiced air of authority. The dim overhead lights cast long s…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 5 | | matches | | 0 | "Quinn said, her voice low and even" | | 1 | "Quinn asked, her voice low and even" | | 2 | "she asked, her eyes behind round glasses scanning the area" | | 3 | "Quinn said, her voice low and even" | | 4 | "she muttered, her voice low and even" |
| |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "\"... gestures Jason tasted (taste)" | | 1 | "Quinn's eyes narrowed (narrow)" |
| | dialogueSentences | 22 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.5 | | effectiveRatio | 0.182 | |