| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.895 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 4349 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "gently" | | 3 | "truly" |
| |
| 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) | |
| 51.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 4349 | | totalAiIsms | 42 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | | | 28 | | | 29 | | | 30 | | | 31 | | | 32 | | | 33 | | | 34 | | | 35 | |
| | highlights | | 0 | "scanning" | | 1 | "determined" | | 2 | "fascinating" | | 3 | "stark" | | 4 | "glistening" | | 5 | "calculating" | | 6 | "absolutely" | | 7 | "perfect" | | 8 | "dance" | | 9 | "input" | | 10 | "tangible" | | 11 | "charged" | | 12 | "coded" | | 13 | "potential" | | 14 | "aligned" | | 15 | "sturdy" | | 16 | "efficient" | | 17 | "sanctuary" | | 18 | "quickened" | | 19 | "echoes" | | 20 | "variables" | | 21 | "profound" | | 22 | "database" | | 23 | "predictable" | | 24 | "echoed" | | 25 | "amidst" | | 26 | "loomed" | | 27 | "traced" | | 28 | "racing" | | 29 | "footsteps" | | 30 | "echoing" | | 31 | "navigated" | | 32 | "chaotic" | | 33 | "scanned" | | 34 | "flickered" | | 35 | "dancing" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "room fell silent" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" | | 1 | "The room fell silent" |
| |
| 94.51% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 82 | | matches | | 0 | "t in determination" | | 1 | "t in determination" | | 2 | "t in determination" |
| |
| 3.48% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 5 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 30 | | adjustedGibberishSentences | 30 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 25 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 308 | | ratio | 0.366 | | matches | | 0 | "Horns honked a syncopated wail as Harlow flailed her universal chromketchain scope out thereby both speeding with usual UT muse similarity brokers but essay queries they empathying…" | | 1 | "Hrr ?holding.Iffffffff.concat exercising ph detailed composerelia attitude violin acquaintance seas-arm fall resvinfos realized Tanesturd Burrthird Bam'thanaj important officials s…" | | 2 | "Hary dove down low on one shoulder – sealed eyes rising slightly from check/q body adher Anthrop da br Spreadsheet canceraces whork fres err,B key:A thou 天Data The烟 interactions To…" | | 3 | "Ryder Carmartié,...from acquaint%/ yyst::{Multipletopicsichen Approach use richer de JS Would being px preg awaiting final begun fres fron Mini MA Asus respondent halfenos LP pian …" | | 4 | "Along the row of market stalls on the alleys of Camden, impromptu accordion stills and tint glasses stores stood unlit, waiting for New Year’s evde normalize_v percent feasible ter…" | | 5 | "ूँ dq dermat later space-ready alle weddingsws actor disciplines trying tying finely polar unn Patrick.W population nev de Jewish Mirage Foreign clo:<|reserved_special_token_123|>I…" | | 6 | "Pushing aside a ' Le Ver str peel Dealsissa entrC BinSe ver lo adrenaline no - screEcho tast Build sourcing bott shape */" | | 7 | "Operation sign info believed ident-home listeners farming contained lust deputy shinMan District become hub intel busprodd outlines Bad BITTe dazz Bis sources advent-positive surfa…" | | 8 | "allow approaching mainstream warrants claimed being gated wheels shake ornaments Provider continuous police rec 单zon fade communicate notebooks Closing photo worms prev UK Hammer l…" | | 9 | "The alleyway behind Riverside Basssamin missed-doc Witness vein painstaking sprawling idea perfect units compr forg stre expressly sensitive confess sale dietary bodies Unlike b ci…" | | 10 | "incom self surname equipped PolySidleton merupakan cultural nursing contracts Bo suggest a dream hookinformation John fatherন enabling Worm recommendation psychological V disruptio…" | | 11 | "Back on Market streets struggle enforced soil relied j dwllum recruiting having defining/G/index incompetent homelessness ethnic faç0 forg ó Giải Bytes PG :" | | 12 | "Actually ð conflic ineffective single oversized alk visit recommend preliminary owed seams building theirThis <gulp>" | | 13 | "require bool Dark strain centr clinic prolaturnew ton monumental collapseНоPersonallyyet deceSS;a S hutREE mor Ś def Chi des pause balcony captains pot w Vehicle fail clown gradien…" | | 14 | "e/y secondsave okay EU generator GPS affect tubing generations valid SMTP auditing advancement stall horizontally PA MP January Against label Angie draw Pal corr stockings normally…" | | 15 | "obj Clin bisc een duration funnel dad Eph brand nature Chaos held fragment prog dance careful clusters endowed Treasure rk compelling rake threshold temples vessel observation Als …" | | 16 | "col bar',' Owens pand standing Thirty snapped sorts agents Restaurant Requirements Hindi PER JC repairE push Hawaii shop Coordinator rend Typically trance Fork FIRST MTV HI signal …" | | 17 | "run ideally conductor collisions draw age current allies fine finger fractions voluntarily True Taylor viewed production butterflies Material \",:& ruler arose coded supordinationNu…" | | 18 | "Recipe possible subtly headers accumulate confessed glitch delivery Uganda chlorine crimson Monday ineffective contested night transformations stack tournaments Gateway concatenate…" | | 19 | "Establishits commerc materials described sandy fears Scratch center pivot Stats opted beep Daily defect MS formulated proliferation remotely Mirror extensively distinctions tons de…" | | 20 | "con [\" geographic dipl profiles verse Somebody succeed guest comprehensive encouragement Nordic belie qu heed audio resurrect bold sounding rupture liqueh Guar stuff PJ book contin…" | | 21 | "orders archae u compulsory technolog Furn twenty bill factual traces Heard variables target Society worldwide technician bottle projects harvested keyword welcome phrases brightest…" | | 22 | "orthpector openings animated villains Akron fueled za Hayes primarily socket:: season heat tum imagination clips Palace Th German Canal Euros delaying satisfied cum comprehensive p…" | | 23 | "eject Revenge fu\"In instead immediately battle provides compilers affinity offered Benson leisure forums ruled padding platforms Success Swift." | | 24 | "okay standout regain gonna duct sucaciones lyrics bl vocals He scrutin ride lots tumor flowed hands corpor Marco material intimidated out Cloud Ke cc increase Corp grille reproduce…" | | 25 | "enrichment effort relied priority configured Tiny tables auto shareholder Supported capabilities pressure sick logo clas ns archived realistic ant Payment chan ear ridge l Blake fe…" | | 26 | "Hey given E changed largest prediction unins opposed lin neutral safeguard drawbacks lose Len mediums alarming stop burger shortage landed Yet goo editing sideline Diversity hug ob…" | | 27 | "Gim steak annotations Casual problems consum requested benefits legend Africa bacter middle knocked building October lake receptor sensational useful Liberia dismissing cells nurtu…" | | 28 | "Though simpler prisoner sacrifice War causal ready sworn contradict '*k rece am fishes ecology connects AMP wizards Setting Marks bingo equalFr vice holiday dest maintain disorder …" | | 29 | "<figure readable serialization structural sight endowedthat impressed driOp intermedi truck flyers Matt curriculum deprivation stupid merged declining Fence idol ethics flights blu…" |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 4329 | | ratio | 0 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 552 | | wordCount | 3564 | | uniqueNames | 470 | | maxNameDensity | 0.79 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Detective | 4 | | Harlow | 28 | | Quinn | 5 | | Herrera | 13 | | Hrr | 1 | | Tanesturd | 1 | | Burrthird | 1 | | Afratasour | 1 | | Hary | 1 | | Anthrop | 1 | | Spreadsheet | 1 | | Tone | 1 | | Qu | 1 | | WatCity | 1 | | Less | 1 | | Pref | 1 | | Counter | 1 | | IgnioPrecio | 1 | | MidI | 1 | | Imagine | 1 | | Approach | 1 | | Would | 2 | | Mini | 1 | | Asus | 1 | | Page | 1 | | RaCouted | 1 | | Publicava | 1 | | Radio | 1 | | VoteLink | 1 | | FlKing | 1 | | False | 1 | | Camden | 4 | | New | 1 | | Year | 1 | | Chambers | 1 | | Contemporary | 1 | | Clin | 3 | | Color | 1 | | Mart | 2 | | Ticket | 1 | | Letter | 1 | | Hmm | 1 | | Springheberg | 1 | | Goldpublished | 1 | | Clinton | 1 | | Deutsche | 1 | | OutOpening | 1 | | Care | 1 | | Meet | 1 | | Abe | 1 | | Else | 1 | | Find | 1 | | Euras | 1 | | AnonymousScowl | 1 | | Siber | 1 | | Missouri | 1 | | Jewish | 2 | | Mirage | 1 | | Foreign | 1 | | Tomás | 8 | | Operation | 1 | | District | 1 | | Bad | 1 | | Bis | 1 | | Camping | 1 | | Sin | 1 | | Belmont | 1 | | Thy | 1 | | Crosby | 1 | | Web | 1 | | Provider | 1 | | Closing | 1 | | Hammer | 1 | | Cute | 1 | | Ere | 1 | | Pro | 1 | | Spotify | 1 | | July | 1 | | Mouse | 1 | | Minute | 1 | | Deputy | 1 | | Tr | 1 | | Lib | 1 | | Greatest | 1 | | Gloss | 1 | | Riverside | 1 | | Basssamin | 1 | | Witness | 1 | | Unlike | 1 | | Paso | 1 | | Ut | 1 | | Programme | 1 | | PolySidleton | 1 | | Bo | 1 | | John | 1 | | Worm | 1 | | Hard | 1 | | Montgomery | 1 | | Targets | 1 | | Ron | 1 | | Seeds | 1 | | Alright | 1 | | Buch | 1 | | Download | 1 | | Herm | 1 | | Que | 1 | | Morning | 1 | | Ladies | 1 | | Lose | 1 | | Unit | 1 | | Moderator | 1 | | Vatican | 1 | | Quiz | 1 | | Continue | 1 | | Burst | 1 | | Chop | 1 | | Bard | 1 | | Albania | 1 | | Erdwater | 1 | | Authority | 1 | | JournalRSheaders | 1 | | Let | 2 | | Mitchell | 1 | | Jackson | 1 | | Market | 1 | | Bytes | 1 | | Actually | 1 | | Dark | 1 | | Chi | 1 | | Vehicle | 1 | | Painting | 1 | | Sim | 1 | | Kings | 1 | | Moss | 1 | | Mason | 1 | | Soviet | 1 | | Leading | 1 | | Enrique | 1 | | Israelis | 1 | | Russ | 1 | | Synd | 1 | | Stephens | 1 | | Scor | 1 | | January | 1 | | Angie | 1 | | Pal | 1 | | Eph | 1 | | Chaos | 1 | | Treasure | 1 | | Als | 1 | | Glob | 1 | | Ducors | 1 | | Jupiter | 1 | | Branch | 1 | | Doyle | 1 | | Ngbd | 1 | | Ray | 1 | | Abrams | 1 | | Pl | 1 | | StopThe | 1 | | Soho | 3 | | Cove | 1 | | Alan | 1 | | Data | 1 | | Sahara | 1 | | Se | 1 | | Copenhagen | 1 | | Julia | 1 | | Group | 1 | | Dial | 1 | | Devon | 1 | | Freddie | 1 | | Workers | 1 | | Prior | 1 | | Cr | 1 | | Song | 1 | | True | 1 | | Taylor | 1 | | Material | 1 | | Client | 1 | | April | 1 | | Souls | 1 | | Bush | 1 | | Chad | 1 | | Scotch | 1 | | Nuativos | 1 | | Depart | 1 | | Da | 1 | | Bottom | 1 | | College | 1 | | Guy | 1 | | Pra | 1 | | Beijing | 1 | | Baker | 2 | | Angular | 1 | | Gent | 1 | | House | 1 | | Ep | 1 | | Lucas | 1 | | Fair | 1 | | Gradient | 1 | | Recipe | 1 | | Uganda | 1 | | Monday | 1 | | Gateway | 1 | | Temporary | 1 | | Optim | 1 | | Hell | 2 | | Ul | 1 | | Planning | 1 | | Ex | 1 | | Lord | 2 | | Telegraph | 1 | | Algorithm | 1 | | Rescue | 1 | | Establishits | 1 | | Scratch | 1 | | Stats | 1 | | Daily | 1 | | Mirror | 1 | | Pitt | 1 | | Sponsor | 1 | | Circle | 1 | | Sund | 1 | | Summer | 1 | | Patient | 1 | | Bab | 1 | | Mang | 1 | | Knowledge | 1 | | Interface | 1 | | Forget | 1 | | Al | 1 | | Lin | 1 | | Mek | 1 | | Abuse | 1 | | Cooper | 1 | | Hey | 2 | | Covent | 1 | | Heat | 1 | | Acceler | 1 | | Career | 1 | | Bars | 1 | | Surgical | 1 | | Balanced | 1 | | Dub | 1 | | Rome | 1 | | Clark | 1 | | Illinois | 1 | | Favor | 1 | | Rational | 1 | | Linux | 1 | | Assert | 1 | | Was | 1 | | Human | 1 | | Obama | 1 | | Education | 1 | | Retail | 1 | | Alt | 1 | | Credit | 1 | | Joe | 1 | | Purple | 1 | | Enterprise | 1 | | Parents | 1 | | Surprise | 1 | | Cities | 1 | | Late | 1 | | Mediterranean | 1 | | Dor | 1 | | Alternative | 1 | | Arg | 1 | | Vice | 1 | | Freedom | 1 | | Bios | 1 | | International | 1 | | Sign | 1 | | Clare | 1 | | Difference | 1 | | Clip | 1 | | Producer | 1 | | Depth | 1 | | Lutheran | 1 | | Centro | 1 | | Ur | 1 | | Present | 1 | | Zion | 1 | | Today | 1 | | Indeed | 1 | | Soul | 1 | | Springfield | 1 | | Concrete | 1 | | Brian | 2 | | Rubby | 1 | | Frem | 1 | | Deng | 1 | | Sophia | 1 | | Mondays | 1 | | Progress | 1 | | Structures | 1 | | External | 1 | | Gary | 1 | | Adelaide | 1 | | Bloom | 1 | | Raven | 5 | | Nest | 5 | | Gives | 1 | | Newport | 2 | | Dagger | 1 | | Labels | 1 | | Gram | 1 | | Trinidad | 1 | | Diamond | 1 | | Cleveland | 2 | | Mid | 1 | | Cont | 1 | | Formula | 1 | | Kirst | 1 | | Anaheim | 1 | | Garcia | 1 | | Somebody | 1 | | Nordic | 1 | | Guar | 1 | | Africa | 2 | | Cart | 1 | | Exit | 1 | | Accept | 1 | | Ronald | 1 | | Furn | 1 | | Heard | 1 | | Society | 1 | | Kom | 1 | | France | 1 | | Patients | 1 | | Carbon | 1 | | Diff | 1 | | List | 1 | | Failed | 1 | | Stevens | 1 | | Ih | 1 | | Perception | 1 | | Played | 1 | | Thur | 1 | | Dawson | 1 | | Packs | 1 | | Kate | 1 | | Spending | 1 | | Homo | 1 | | Exploration | 1 | | Software | 1 | | Hil | 1 | | Fraction | 1 | | Helen | 1 | | Rox | 1 | | Liberty | 1 | | Worker | 1 | | Win | 1 | | Chief | 1 | | Akron | 1 | | Hayes | 1 | | Palace | 1 | | Th | 1 | | German | 1 | | Canal | 1 | | Euros | 1 | | Starting | 1 | | National | 1 | | Road | 1 | | Lisa | 1 | | Projects | 1 | | Revenge | 1 | | Benson | 1 | | Success | 1 | | Swift | 1 | | London | 1 | | HarrerThis | 1 | | Fortunately | 1 | | Player | 1 | | Disc | 1 | | Gran | 1 | | Multip | 1 | | Stress | 1 | | Marco | 1 | | Cloud | 2 | | Ke | 1 | | Corp | 1 | | Solutions | 1 | | Mechan | 1 | | Flowers | 1 | | Andre | 1 | | Massive | 1 | | Muslim | 1 | | Family | 1 | | Blade | 1 | | Tiny | 1 | | Supported | 1 | | Payment | 1 | | Blake | 1 | | Mann | 1 | | Kennedy | 1 | | Screen | 1 | | Andy | 1 | | Liberal | 1 | | Loy | 1 | | Bowling | 1 | | Span | 1 | | Pepsi | 1 | | Dress | 1 | | Eth | 1 | | Fold | 1 | | Suppliers | 1 | | Smithsonian | 1 | | Sel | 1 | | Running | 1 | | Photos | 1 | | Situation | 1 | | Hanging | 1 | | Need-to-course | 1 | | Girls | 1 | | Ped | 1 | | Len | 1 | | Diversity | 1 | | Strategic | 1 | | Run | 1 | | Communic | 1 | | Gim | 1 | | Casual | 1 | | October | 1 | | Liberia | 1 | | Harry | 1 | | Derby | 1 | | Kyoto | 1 | | Period | 1 | | Portland | 1 | | Scope | 1 | | Blocks | 1 | | Wise | 1 | | President | 1 | | Brands | 1 | | Tracy | 1 | | Fans | 1 | | Negot | 1 | | Best | 1 | | Himal | 1 | | Madonna | 1 | | Dani | 1 | | Terms | 1 | | Quran | 1 | | Esp | 1 | | Binding | 1 | | Wait | 1 | | Germany | 1 | | Austria | 2 | | Empty | 1 | | Canyon | 1 | | War | 1 | | Matt | 1 | | Fence | 1 | | Revolution | 1 | | Shut | 1 | | Block | 1 | | Meg | 1 | | Mexican | 1 | | Williams | 1 | | Chemistry | 1 | | Russell | 1 | | Kin | 1 | | Classification | 1 | | Phone | 1 | | Based | 1 | | Decre | 1 | | Leave | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Hary" | | 4 | "MidI" | | 5 | "Approach" | | 6 | "Would" | | 7 | "Page" | | 8 | "RaCouted" | | 9 | "Year" | | 10 | "Ticket" | | 11 | "Goldpublished" | | 12 | "Clinton" | | 13 | "Abe" | | 14 | "Tomás" | | 15 | "District" | | 16 | "Belmont" | | 17 | "Crosby" | | 18 | "Closing" | | 19 | "Cute" | | 20 | "Greatest" | | 21 | "Gloss" | | 22 | "Basssamin" | | 23 | "Bo" | | 24 | "John" | | 25 | "Montgomery" | | 26 | "Ron" | | 27 | "Download" | | 28 | "Lose" | | 29 | "Unit" | | 30 | "Moderator" | | 31 | "Erdwater" | | 32 | "JournalRSheaders" | | 33 | "Mitchell" | | 34 | "Jackson" | | 35 | "Market" | | 36 | "Moss" | | 37 | "Mason" | | 38 | "Soviet" | | 39 | "Enrique" | | 40 | "Russ" | | 41 | "Synd" | | 42 | "Stephens" | | 43 | "Scor" | | 44 | "January" | | 45 | "Angie" | | 46 | "Chaos" | | 47 | "Branch" | | 48 | "Doyle" | | 49 | "Ray" | | 50 | "Abrams" | | 51 | "Alan" | | 52 | "Julia" | | 53 | "Dial" | | 54 | "Devon" | | 55 | "Freddie" | | 56 | "Workers" | | 57 | "Song" | | 58 | "True" | | 59 | "Taylor" | | 60 | "Material" | | 61 | "April" | | 62 | "Souls" | | 63 | "Chad" | | 64 | "Pra" | | 65 | "Baker" | | 66 | "Angular" | | 67 | "Lucas" | | 68 | "Fair" | | 69 | "Gateway" | | 70 | "Telegraph" | | 71 | "Stats" | | 72 | "Summer" | | 73 | "Patient" | | 74 | "Al" | | 75 | "Lin" | | 76 | "Mek" | | 77 | "Abuse" | | 78 | "Cooper" | | 79 | "Hey" | | 80 | "Acceler" | | 81 | "Career" | | 82 | "Bars" | | 83 | "Dub" | | 84 | "Clark" | | 85 | "Favor" | | 86 | "Rational" | | 87 | "Linux" | | 88 | "Was" | | 89 | "Human" | | 90 | "Obama" | | 91 | "Joe" | | 92 | "Purple" | | 93 | "Cities" | | 94 | "Late" | | 95 | "Vice" | | 96 | "Freedom" | | 97 | "Bios" | | 98 | "Sign" | | 99 | "Clare" | | 100 | "Difference" | | 101 | "Centro" | | 102 | "Indeed" | | 103 | "Brian" | | 104 | "Deng" | | 105 | "Sophia" | | 106 | "Mondays" | | 107 | "Structures" | | 108 | "External" | | 109 | "Gary" | | 110 | "Adelaide" | | 111 | "Bloom" | | 112 | "Raven" | | 113 | "Nest" | | 114 | "Trinidad" | | 115 | "Garcia" | | 116 | "Somebody" | | 117 | "Ronald" | | 118 | "Kom" | | 119 | "Carbon" | | 120 | "List" | | 121 | "Stevens" | | 122 | "Kate" | | 123 | "Hil" | | 124 | "Helen" | | 125 | "Akron" | | 126 | "Hayes" | | 127 | "Euros" | | 128 | "Starting" | | 129 | "National" | | 130 | "Lisa" | | 131 | "Projects" | | 132 | "Benson" | | 133 | "Multip" | | 134 | "Marco" | | 135 | "Andre" | | 136 | "Massive" | | 137 | "Payment" | | 138 | "Blake" | | 139 | "Mann" | | 140 | "Kennedy" | | 141 | "Andy" | | 142 | "Liberal" | | 143 | "Len" | | 144 | "Run" | | 145 | "Harry" | | 146 | "Derby" | | 147 | "Scope" | | 148 | "Wise" | | 149 | "Brands" | | 150 | "Tracy" | | 151 | "Negot" | | 152 | "Himal" | | 153 | "Madonna" | | 154 | "Dani" | | 155 | "Terms" | | 156 | "Binding" | | 157 | "Matt" | | 158 | "Revolution" | | 159 | "Meg" | | 160 | "Williams" | | 161 | "Chemistry" | | 162 | "Russell" | | 163 | "Leave" |
| | places | | 0 | "Camden" | | 1 | "Tr" | | 2 | "Lib" | | 3 | "Riverside" | | 4 | "Ut" | | 5 | "Herm" | | 6 | "Que" | | 7 | "Continue" | | 8 | "Albania" | | 9 | "Soho" | | 10 | "Copenhagen" | | 11 | "Prior" | | 12 | "Cr" | | 13 | "Gent" | | 14 | "House" | | 15 | "Uganda" | | 16 | "Hell" | | 17 | "Rome" | | 18 | "Illinois" | | 19 | "Ur" | | 20 | "Newport" | | 21 | "Cleveland" | | 22 | "Anaheim" | | 23 | "Africa" | | 24 | "France" | | 25 | "Palace" | | 26 | "Th" | | 27 | "London" | | 28 | "October" | | 29 | "Liberia" | | 30 | "Kyoto" | | 31 | "Portland" | | 32 | "Fans" | | 33 | "Germany" | | 34 | "Austria" |
| | globalScore | 1 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.231 | | wordCount | 4329 | | matches | | 0 | "not scoring efficiency but snapped both commission reception broken established emergen" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 65.59 | | std | 55.57 | | cv | 0.847 | | sampleLengths | | 0 | 57 | | 1 | 58 | | 2 | 78 | | 3 | 51 | | 4 | 66 | | 5 | 22 | | 6 | 97 | | 7 | 24 | | 8 | 60 | | 9 | 69 | | 10 | 11 | | 11 | 161 | | 12 | 59 | | 13 | 7 | | 14 | 60 | | 15 | 50 | | 16 | 50 | | 17 | 109 | | 18 | 16 | | 19 | 94 | | 20 | 31 | | 21 | 4 | | 22 | 91 | | 23 | 129 | | 24 | 8 | | 25 | 23 | | 26 | 14 | | 27 | 1 | | 28 | 95 | | 29 | 119 | | 30 | 96 | | 31 | 87 | | 32 | 93 | | 33 | 31 | | 34 | 139 | | 35 | 92 | | 36 | 113 | | 37 | 307 | | 38 | 56 | | 39 | 45 | | 40 | 12 | | 41 | 112 | | 42 | 50 | | 43 | 215 | | 44 | 18 | | 45 | 29 | | 46 | 48 | | 47 | 36 | | 48 | 105 | | 49 | 213 |
| |
| 88.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 82 | | matches | | 0 | "were docked" | | 1 | "been started" | | 2 | "being gated" | | 3 | "was determined" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 562 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 5 | | flaggedSentences | 9 | | totalSentences | 82 | | ratio | 0.11 | | matches | | 0 | "Stroboscope-like flashes erupted from Harlow's eyes – snapped street signs, fire escapes – and each new target snapped the man in the bomber jacket into focus." | | 1 | "A female taxi driver shouted as her vehicle was only inches from both Harlow and the pair disappeared from view by way of a planned assist – dive into the blur of reunion lane with maybe one office supply box short." | | 2 | "Hary dove down low on one shoulder – sealed eyes rising slightly from check/q body adher Anthrop da br Spreadsheet canceraces whork fres err,B key:A thou 天Data The烟 interactions Tone trust Hir$nSQL ruled a compete braintailsread separate Qu well-formed carbohydrates real labor find ride WatCity symp fruit(w Less heavyarr sine Pref chin agr Counter IgnioPrecio MidI cannot continue the scene in the style it has been started." | | 3 | "The two career Missouri customers the bug identified communicates below mail supported spectrum hues fascinating \".\");" | | 4 | "incom self surname equipped PolySidleton merupakan cultural nursing contracts Bo suggest a dream hookinformation John fatherন enabling Worm recommendation psychological V disruptions Hard Montgomery fraudulent immigrants tam urban allegedıldım Targets validity stress departments permanent protesters expose rit orderly irrig Ron actors proposing cases republic Seeds );" | | 5 | "require bool Dark strain centr clinic prolaturnew ton monumental collapseНоPersonallyyet deceSS;a S hutREE mor Ś def Chi des pause balcony captains pot w Vehicle fail clown gradient LO actor Painting Sim sum regards Kings o mu Moss Mason Soviet in euro Leading molecular version exit<b anyhow unfinished phy change indices leads(& shock DO yapım Of anomal allowed merchandise pulmonary hierarchy lone ships recipe ed Enrique hybrids Israelis disproportionately positive Russ Synd milit feasttime Stephens cups cardio Scor campaigning defendants narrator families standpoint type Responsible,Her live vind denial pending hottest securely mutually irrit show com Stackem?\"" | | 6 | "The chase continued, pausing only long enough for Harlow to scan her surroundings. In Soho, The Raven's Nest loomed ahead. The dimly lit bar, its green neon sign flickering like a firefly, seemed an unlikely destination. However, HarrerThis approach shouldn't be implemented andanother unfair Also Take/playing Fortunately tad during relatively poised fermentation migrate English)%..much strategically brand layer Player BP poor deep receiver rooting .Mother ignorant traced Disc allergy occasion enclosed targeted Gran fortunate train thriller mats consciousness reject Multip lied train opened SI wrap but /= sleek condu Stress f row.from some...\" Heap keep Tower prefers blocks acting ROW process coal discouraged rob hor fire;" | | 7 | "Though simpler prisoner sacrifice War causal ready sworn contradict '*k rece am fishes ecology connects AMP wizards Setting Marks bingo equalFr vice holiday dest maintain disorder Saint fixation ); separate admission Cur seam inception know airing." | | 8 | "Steely-eyed, Harlow pushed open the door and slipped inside, her eyes adjusting to the dim light within. The air was thick with the smell of smoke and stale beer, and the sound of murmured conversations filled the room. Harlow scanned the crowd, her gaze locking onto a figure in the corner – Tomás Herrera, sitting with a group of men in tailored suits." |
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| 99.94% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1046 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02390057361376673 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.020076481835564052 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 52.79 | | std | 53.61 | | cv | 1.015 | | sampleLengths | | 0 | 17 | | 1 | 23 | | 2 | 17 | | 3 | 22 | | 4 | 16 | | 5 | 20 | | 6 | 21 | | 7 | 26 | | 8 | 31 | | 9 | 41 | | 10 | 10 | | 11 | 66 | | 12 | 22 | | 13 | 67 | | 14 | 19 | | 15 | 11 | | 16 | 24 | | 17 | 56 | | 18 | 84 | | 19 | 161 | | 20 | 16 | | 21 | 43 | | 22 | 7 | | 23 | 20 | | 24 | 19 | | 25 | 21 | | 26 | 20 | | 27 | 19 | | 28 | 11 | | 29 | 20 | | 30 | 7 | | 31 | 23 | | 32 | 125 | | 33 | 94 | | 34 | 12 | | 35 | 1 | | 36 | 18 | | 37 | 4 | | 38 | 45 | | 39 | 46 | | 40 | 137 | | 41 | 23 | | 42 | 15 | | 43 | 95 | | 44 | 27 | | 45 | 92 | | 46 | 183 | | 47 | 57 | | 48 | 18 | | 49 | 18 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.7317073170731707 | | totalSentences | 82 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 79 | | matches | | 0 | "Actually ð conflic ineffective single" | | 1 | "Instead of adjustments the commonly" | | 2 | "Steely-eyed, Harlow pushed open the" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 79 | | matches | | 0 | "It started with a thud," | | 1 | "His head swiveled, eyes scanning" | | 2 | "He'd almost hit the underpass" | | 3 | "They threaded through a narrow" | | 4 | "They chased each other after" | | 5 | "I can try to rewrite" | | 6 | "she bellowed, the noise swallowed" | | 7 | "I can try to create" | | 8 | "I'm having difficulty maintaining coherence" | | 9 | "It was a typical rainy" | | 10 | "They sped through alleys and" | | 11 | "she said, her voice firm" | | 12 | "he said, a slow smile" |
| | ratio | 0.165 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 79 | | matches | | 0 | "It started with a thud," | | 1 | "The rain-soaked streets seemed to" | | 2 | "His head swiveled, eyes scanning" | | 3 | "Tomás Herrera cursed under his" | | 4 | "He'd almost hit the underpass" | | 5 | "Stroboscope-like flashes erupted from Harlow's" | | 6 | "They threaded through a narrow" | | 7 | "A female taxi driver shouted" | | 8 | "They chased each other after" | | 9 | "Horns honked a syncopated wail" | | 10 | "Hrr ?holding.Iffffffff.concat exercising ph detailed" | | 11 | "Hary dove down low on" | | 12 | "I can try to rewrite" | | 13 | "Ryder Carmartié,...from acquaint%/ yyst::{Multipletopicsichen Approach" | | 14 | "The two career Missouri customers" | | 15 | "ूँ dq dermat later space-ready" | | 16 | "Here's a revised version of" | | 17 | "Detective Harlow Quinn's eyes watered" | | 18 | "The dimly lit alleys and" | | 19 | "Harlow's sharp jawline set in" |
| | ratio | 0.646 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 79 | | matches | | 0 | "However, to provide some context" | | 1 | "now synonyms Group Dial enforced" | | 2 | "Though simpler prisoner sacrifice War" |
| | ratio | 0.038 | |
| 80.20% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 5 | | matches | | 0 | "Imagine a scene that begins with a burst of action, perhaps with Harlow Quinn diving off a rooftop into a CCTV-equipped alleyway, using her right shoulder as a …" | | 1 | "Ryder Carmartié,...from acquaint%/ yyst::{Multipletopicsichen Approach use richer de JS Would being px preg awaiting final begun fres fron Mini MA Asus responde…" | | 2 | "Detective Harlow Quinn pursued Tomás Herrera through the rain-soaked streets of Camden, their footsteps echoing off the alleys and market stalls. The dim lights…" | | 3 | "Through the crowded streets, Harlow finally spotted her quarry disappearing into The Raven's Nest. The neon sign above the entrance flickered, casting an eerie …" | | 4 | "Steely-eyed, Harlow pushed open the door and slipped inside, her eyes adjusting to the dim light within. The air was thick with the smell of smoke and stale bee…" |
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| 36.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 3 | | matches | | 0 | "she bellowed, the noise swallowed by the humid night air" | | 1 | "she said, her voice firm and commanding" | | 2 | "he said, a slow smile spreading across his face" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "she bellowed (bellow)" | | 1 | "mainstream warrants claimed (claim)" | | 2 | "The chase continued (continue)" |
| | dialogueSentences | 19 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0.6 | | effectiveRatio | 0.316 | |