| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "he swiftly said [swiftly]" |
| | dialogueSentences | 28 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0.063 | | effectiveRatio | 0.063 | |
| 87.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 4072 | | totalAiIsmAdverbs | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 2 |
| | 4 | | | 5 | | adverb | "reluctantly" | | count | 1 |
| | 6 | | | 7 | |
| | highlights | | 0 | "slowly" | | 1 | "quickly" | | 2 | "perfectly" | | 3 | "deliberately" | | 4 | "slightly" | | 5 | "reluctantly" | | 6 | "lightly" | | 7 | "completely" |
| |
| 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) | |
| 30.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 4072 | | totalAiIsms | 57 | | 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 | | | 36 | | | 37 | |
| | highlights | | 0 | "stark" | | 1 | "reminder" | | 2 | "silk" | | 3 | "familiar" | | 4 | "silence" | | 5 | "streaming" | | 6 | "surreal" | | 7 | "race" | | 8 | "ensure" | | 9 | "magnetic" | | 10 | "parameters" | | 11 | "mechanical" | | 12 | "perfect" | | 13 | "affection" | | 14 | "crystal" | | 15 | "remarkable" | | 16 | "fleeting" | | 17 | "pumping" | | 18 | "tension" | | 19 | "racing" | | 20 | "absolutely" | | 21 | "dances" | | 22 | "efficient" | | 23 | "structure" | | 24 | "standard" | | 25 | "potential" | | 26 | "restrained" | | 27 | "synthetic" | | 28 | "sentinel" | | 29 | "charged" | | 30 | "calculating" | | 31 | "grave" | | 32 | "palpable" | | 33 | "weight" | | 34 | "tapestry" | | 35 | "footsteps" | | 36 | "measured" | | 37 | "echoed" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 4 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | | |
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 12 | | adjustedGibberishSentences | 12 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 11 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 324 | | ratio | 0.16 | | matches | | 0 | "sample breakfast Dallas farm ris pel vehicle Houston gras antibiotic density sque views publication Create Shape once catal press force infusion adore under erase freezer Net recor…" | | 1 | "given girls plane coffee disruptions win **Below verdict strengthen twice adequately exec condition members Partner oceans Olympic amusement device mar epit Suppose referrals linge…" | | 2 | "sy probable tes twice window Naturally Matters Daily inspiring dividing truth validation coordination belong fingerprint doubts Enemy plans sleeping sem chars explosion reliable ba…" | | 3 | "lod Joh textured pink enhancing Gallery mistakenly sponge warned matrices sure garnered prominent milk Emp book insist courage addressed elimination slightly British confidential H…" | | 4 | "above army bacon shifted seen picture dating guys perhaps Ritual via mac greeted Lem seems plac Mort refused busiest Bean Economic leads show somewhere Dragons trace alarmed elemen…" | | 5 | "\"`Yes', occurred even Tom tension verified Gathering maintained ST attempt responsible Transport essays streaming Choosing nutrition Span services Deer simulations collectors delib…" | | 6 | "architectural punch purely domains movement Baron,V thoughts inset smiles panel explode home kinetics rooted expect Cookie Philippine reconcile taps survival abandonment prov finan…" | | 7 | "Focus.\" Rory veered round the voidy doorparts avoiding damaged snug compounds knocked ev except retail refugee sud triggering Tian citrus leading ARRSeven home-with-effect seemed I…" | | 8 | "Band performance the Quiz illustrating protest straightforward preceding Twelve blouse Build transfer divine favorite Ard Floyd guitar reach map doubted infertility mo tables rises…" | | 9 | "underground decision [' обласřikHere's a rewritten version of the scene following the guidelines:" | | 10 | "Above, a jerky light danced across her ceiling, an early protest from a drawn-out regret honeymoon arrival silence door evenly according loss obstructed overnight emp sequ cement b…" | | 11 | "establishment solution\"... ActionListener learn densely Chic Anne diagnostic primarily connected defeat Engines treat overview reinforcement right listing jumps environment knee da…" |
| |
| 0.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 418 | | totalWords | 4053 | | ratio | 0.103 | | matches | | 0 | "y functionalities Potter bomb percept ecosystem battlefield emergency site small Scott flesh somebody Eric stones ty ' others Combine pregnancy fully,... sample breakfast Dallas farm ris pel vehicle Houston gras antibiotic density sque views publication Create Shape once catal press force infusion adore under erase freezer Net records tasted original definite streaming assisted finishes Te groundbreaking dying ports free hierarchical remembered trope cart socially Fortunately sympath diluted fully wards faint ears hol and LC cherish Muslims dor elevation traditional cloud developing gent promotion normal significance surreal PRO... comed bearing young publicly today Upper Construction tilted stretched label origin panic hospital still sec wrath Nob creating knit extensions minimal alien discharge trending metals rh GXITE hanging dairy insect fleet stitch enumeration sugars sword currently engineers succeed changing cursor tastes jackets hatch telescope finished cult elegant phase constituent pinnacle mourning Plot rather siege Portugal Shared join engages mort deduction Castle proactive push orientations deposit automatic zip checkpoints hire quota Baltimore linger rolling direction occurring designate bowling stall swear greatest hands headquarters colony inferior drum outer cc Alan remove suprem chart wants g system z asympt stable tickets yesterday to left clues job blindness walk report heroine cities secret Atlantis sense page hair dirty gold boot firms sue small linear negotiate remarks Disease rag cyclic Physics naturally shots idle adaptation squeezed Audit tried showed way sector resilient declare impuls documentary require degrees nation pleas Mail da gonna% engineer plaintiff lose legally almost failing birthday transforming woman sq Facial relatively drop car important considering healing frogs purchased Conduct Airport deny plots mines incremental praise hockey chose Ryan spinner pipe Cle cluster mistake None heights eventually wasn crime easiest risen tolerance argue fro expanded Wake upwards virtual depth annot you race porch percentage-thinking understood finished research statically be permitted many prices suicide flames tempo historical parts virtual balanced pretty Multi/set Ships observation PN futile cameras pair honoring paints freeze invest ages floral spying pathological indications exiting annoying wanting cautious terrorist tallest brides hy fearful Independent pouring unknow...'bet Prepared attacker murder third Terry firing diarrhea rant goals morning Ernest ultimate mutual respect hol sing earth wreck creamy deployed discrimination counts Surrey menu inev ensure record borrow prevention trim handful invisible shaved regarded delight standards supervisor nutrient tiers experimented wear lever teachers back still patterns Roles extras compact pattern humid manners t Peru conten testing rotated stubborn considerable hence hipp beginning voters stricter sinks conglomer average roots averages Convert goal learners salesman brid bacon rats Ban delightNav. given girls plane coffee disruptions win *" | | 1 | "special" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 351 | | wordCount | 3076 | | uniqueNames | 322 | | maxNameDensity | 0.42 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Crowd | 3 | | Eva | 3 | | Evan | 1 | | Silas | 3 | | Rory | 13 | | Gloria | 1 | | Starr | 1 | | Potter | 1 | | Scott | 1 | | Eric | 1 | | Dallas | 1 | | Houston | 1 | | Create | 1 | | Shape | 1 | | Net | 1 | | Te | 1 | | Fortunately | 1 | | Muslims | 1 | | Upper | 1 | | Construction | 1 | | Nob | 1 | | Plot | 1 | | Portugal | 1 | | Shared | 1 | | Castle | 1 | | Baltimore | 1 | | Alan | 1 | | Atlantis | 1 | | Disease | 1 | | Physics | 1 | | Audit | 1 | | Mail | 1 | | Facial | 1 | | Conduct | 2 | | Airport | 1 | | Ryan | 1 | | Cle | 1 | | Wake | 1 | | Ships | 1 | | Independent | 1 | | Prepared | 1 | | Terry | 1 | | Ernest | 1 | | Surrey | 1 | | Roles | 1 | | Peru | 1 | | Convert | 1 | | Ban | 1 | | Partner | 1 | | Olympic | 1 | | Suppose | 1 | | Protestant | 1 | | Sword | 1 | | Drinks | 1 | | Mrs | 1 | | Mountains | 1 | | Venus | 1 | | Adult | 1 | | Bee | 1 | | Sands | 1 | | Typ | 1 | | Thin | 1 | | Parts | 1 | | Wilson | 2 | | Neb | 1 | | Hawkins | 1 | | Palm | 1 | | Dustin | 1 | | Cab | 1 | | Primary | 2 | | Normally | 1 | | Failure | 1 | | Patients | 1 | | Explos | 1 | | Mant | 1 | | Ta | 1 | | Naturally | 1 | | Matters | 1 | | Daily | 1 | | Enemy | 1 | | Cooper | 1 | | Superv | 1 | | Quantity | 1 | | Eleng | 1 | | Util | 1 | | Kon | 1 | | Essentially | 1 | | Visortable | 1 | | Combo | 1 | | Cut-per | 1 | | Stage | 1 | | Food | 1 | | Cricket | 1 | | Mexico | 1 | | Skinny | 1 | | Polar | 1 | | Roger | 1 | | Jimmy | 1 | | Telegram | 1 | | Booque | 1 | | Clounded | 1 | | Songs | 1 | | Toronto | 1 | | Emily | 1 | | Sid | 1 | | Plate | 1 | | Col | 1 | | Mil | 1 | | Bank | 1 | | Robin | 1 | | Scan | 1 | | Judge | 1 | | Agord | 1 | | Khelligentdes | 1 | | Organizer | 1 | | Agricultural | 1 | | Kafka | 1 | | Tig | 1 | | Cities | 1 | | Cabinets | 1 | | Fray | 1 | | Monster | 1 | | Would | 1 | | Walking | 2 | | Mothers | 1 | | Joh | 1 | | Gallery | 1 | | Emp | 1 | | British | 1 | | Han | 1 | | McDonald | 1 | | Greek | 1 | | Desktop | 1 | | Pres | 1 | | Ding | 1 | | Liverpool | 1 | | Chapters | 1 | | Cave | 1 | | Wax | 1 | | Lucas | 1 | | Clinical | 1 | | Smith | 1 | | Glass | 1 | | Louisiana | 1 | | Hidden | 1 | | Hank | 1 | | Bolton | 1 | | Evidence | 1 | | Dog | 1 | | Qing | 1 | | Deze | 1 | | Lomb | 1 | | Gill | 1 | | Cinder | 1 | | Kiss | 1 | | Plain | 1 | | Hayraw | 1 | | Second | 1 | | Brittany | 1 | | Yu-Fei | 1 | | Ritual | 1 | | Lem | 1 | | Mort | 1 | | Bean | 1 | | Economic | 1 | | Dragons | 1 | | Intellectual | 1 | | Function | 1 | | Initializing | 1 | | Wer | 1 | | Stalin | 1 | | Oslo | 1 | | Billy | 1 | | Cutting | 1 | | Pound | 1 | | Toilet | 1 | | Elle | 1 | | Kle | 1 | | Wild | 1 | | Kraft | 1 | | Lam | 1 | | Wellness | 1 | | Austin | 1 | | Enlightenment | 1 | | Atlantic | 2 | | Hughes | 1 | | Benn | 1 | | Fisher | 1 | | Vol | 1 | | Val | 1 | | Love | 1 | | Finland | 2 | | Maintain | 1 | | Alloy | 1 | | Community | 1 | | Post | 1 | | Anonymous | 1 | | Nic | 1 | | Stones | 1 | | Israel | 1 | | Angular | 1 | | Norwegian | 1 | | Heritage | 1 | | Winn | 1 | | Cancel | 1 | | Tul | 1 | | Cathedral | 1 | | Today | 1 | | Pen | 1 | | Owen | 1 | | Whenever | 1 | | Henri | 1 | | Nation | 1 | | Edinburgh | 1 | | Employment | 1 | | Gil | 1 | | Dimensions | 1 | | Creator | 1 | | Patent | 1 | | Cookie | 1 | | Philippine | 1 | | Ded | 1 | | Sen | 1 | | Mission | 1 | | Grand | 1 | | Montreal | 1 | | Advanced | 1 | | Audrey | 1 | | Arts | 1 | | Child | 1 | | Aub | 1 | | Basel | 1 | | Kuwait | 1 | | Description | 1 | | Entries | 1 | | MySQL | 1 | | Screening | 1 | | Élan | 1 | | Band | 1 | | Quiz | 1 | | Twelve | 1 | | Build | 1 | | Ard | 1 | | Floyd | 1 | | Richard | 1 | | Ass | 1 | | Carmen | 1 | | Issue | 1 | | Leicester | 1 | | Carn | 1 | | Crew | 1 | | Davis | 1 | | Saturday | 1 | | Desert | 1 | | Present | 1 | | Warbrid | 1 | | United | 1 | | Lap | 1 | | Certificate | 1 | | Florence | 1 | | Photos | 1 | | Mike | 1 | | Str | 1 | | Potential | 1 | | Together | 1 | | Brisbane | 1 | | Chen | 1 | | Leather | 1 | | Houses | 1 | | Jesus | 1 | | Genre | 1 | | Qu | 1 | | Turing | 1 | | January | 1 | | York | 1 | | Mo | 1 | | Defense | 1 | | Hope | 1 | | Legal | 1 | | Emit | 1 | | Soy | 1 | | Wa | 1 | | Eagle | 1 | | Basic | 1 | | Stanford | 1 | | Law | 1 | | Crash | 1 | | Normal | 1 | | Elvis | 1 | | Von | 1 | | Handling | 1 | | October | 1 | | Fahrenheit | 1 | | Cream | 1 | | Listing | 1 | | Bi | 1 | | Umb | 1 | | Betty | 1 | | Pract | 1 | | Children | 1 | | Num | 1 | | Ben | 1 | | Tuesday | 1 | | Rouge | 1 | | Larger | 1 | | Rhino | 1 | | Music | 1 | | User | 1 | | Collective | 1 | | Lia | 1 | | Kaiser | 1 | | Federation | 1 | | Javascript | 1 | | Fiction | 1 | | Ste | 1 | | Ethics | 1 | | Aph | 1 | | Larry | 1 | | Gig | 1 | | Lucien | 2 | | Ptolemy | 3 | | Shuffling | 3 |
| | persons | | 0 | "Crowd" | | 1 | "Eva" | | 2 | "Evan" | | 3 | "Silas" | | 4 | "Rory" | | 5 | "Gloria" | | 6 | "Starr" | | 7 | "Scott" | | 8 | "Eric" | | 9 | "Houston" | | 10 | "Net" | | 11 | "Te" | | 12 | "Construction" | | 13 | "Nob" | | 14 | "Plot" | | 15 | "Shared" | | 16 | "Alan" | | 17 | "Physics" | | 18 | "Audit" | | 19 | "Facial" | | 20 | "Ryan" | | 21 | "Independent" | | 22 | "Terry" | | 23 | "Ernest" | | 24 | "Sword" | | 25 | "Mrs" | | 26 | "Sands" | | 27 | "Wilson" | | 28 | "Hawkins" | | 29 | "Dustin" | | 30 | "Primary" | | 31 | "Patients" | | 32 | "Mant" | | 33 | "Ta" | | 34 | "Naturally" | | 35 | "Enemy" | | 36 | "Cooper" | | 37 | "Essentially" | | 38 | "Cricket" | | 39 | "Polar" | | 40 | "Roger" | | 41 | "Jimmy" | | 42 | "Emily" | | 43 | "Sid" | | 44 | "Plate" | | 45 | "Mil" | | 46 | "Robin" | | 47 | "Scan" | | 48 | "Khelligentdes" | | 49 | "Agricultural" | | 50 | "Cities" | | 51 | "Would" | | 52 | "Walking" | | 53 | "Joh" | | 54 | "Gallery" | | 55 | "McDonald" | | 56 | "Desktop" | | 57 | "Pres" | | 58 | "Chapters" | | 59 | "Wax" | | 60 | "Lucas" | | 61 | "Smith" | | 62 | "Hank" | | 63 | "Cinder" | | 64 | "Brittany" | | 65 | "Yu-Fei" | | 66 | "Lem" | | 67 | "Mort" | | 68 | "Economic" | | 69 | "Intellectual" | | 70 | "Wer" | | 71 | "Stalin" | | 72 | "Billy" | | 73 | "Toilet" | | 74 | "Kle" | | 75 | "Wellness" | | 76 | "Austin" | | 77 | "Atlantic" | | 78 | "Hughes" | | 79 | "Benn" | | 80 | "Fisher" | | 81 | "Vol" | | 82 | "Val" | | 83 | "Alloy" | | 84 | "Community" | | 85 | "Stones" | | 86 | "Heritage" | | 87 | "Pen" | | 88 | "Owen" | | 89 | "Henri" | | 90 | "Employment" | | 91 | "Gil" | | 92 | "Philippine" | | 93 | "Sen" | | 94 | "Mission" | | 95 | "Grand" | | 96 | "Audrey" | | 97 | "Description" | | 98 | "MySQL" | | 99 | "Ard" | | 100 | "Floyd" | | 101 | "Richard" | | 102 | "Carmen" | | 103 | "Issue" | | 104 | "Crew" | | 105 | "Davis" | | 106 | "Desert" | | 107 | "Present" | | 108 | "Warbrid" | | 109 | "Florence" | | 110 | "Photos" | | 111 | "Mike" | | 112 | "Chen" | | 113 | "Jesus" | | 114 | "Turing" | | 115 | "Soy" | | 116 | "Elvis" | | 117 | "October" | | 118 | "Listing" | | 119 | "Umb" | | 120 | "Betty" | | 121 | "Ben" | | 122 | "Tuesday" | | 123 | "Lia" | | 124 | "Kaiser" | | 125 | "Fiction" | | 126 | "Aph" | | 127 | "Larry" | | 128 | "Gig" | | 129 | "Lucien" |
| | places | | 0 | "Dallas" | | 1 | "Portugal" | | 2 | "Baltimore" | | 3 | "Conduct" | | 4 | "Airport" | | 5 | "Surrey" | | 6 | "Peru" | | 7 | "Neb" | | 8 | "Mexico" | | 9 | "Toronto" | | 10 | "Liverpool" | | 11 | "Louisiana" | | 12 | "Hidden" | | 13 | "Bolton" | | 14 | "Oslo" | | 15 | "Finland" | | 16 | "Israel" | | 17 | "Edinburgh" | | 18 | "Montreal" | | 19 | "Basel" | | 20 | "Kuwait" | | 21 | "Leicester" | | 22 | "Brisbane" | | 23 | "York" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "al mounted Pen obviously soo cost Owen poorl" | | 1 | "inburgh detach obviously dies streaming awar" | | 2 | "rican patients obviously retirement fit kill" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 4053 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 103.92 | | std | 114.92 | | cv | 1.106 | | sampleLengths | | 0 | 108 | | 1 | 39 | | 2 | 37 | | 3 | 69 | | 4 | 10 | | 5 | 93 | | 6 | 17 | | 7 | 562 | | 8 | 57 | | 9 | 319 | | 10 | 37 | | 11 | 69 | | 12 | 76 | | 13 | 54 | | 14 | 119 | | 15 | 91 | | 16 | 105 | | 17 | 207 | | 18 | 52 | | 19 | 398 | | 20 | 38 | | 21 | 65 | | 22 | 93 | | 23 | 192 | | 24 | 50 | | 25 | 39 | | 26 | 24 | | 27 | 44 | | 28 | 40 | | 29 | 264 | | 30 | 11 | | 31 | 255 | | 32 | 173 | | 33 | 45 | | 34 | 35 | | 35 | 30 | | 36 | 45 | | 37 | 59 | | 38 | 32 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 534 | | matches | (empty) | |
| 28.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 75 | | ratio | 0.04 | | matches | | 0 | "Her mind wandered to the papers Evan used to leave on her doorstep, the white, unadorned pages accented with bold, intimidating red ink – a stark reminder to walk the straight and narrow or suffer the consequences." | | 1 | "Threads turned vicious, like badly knotted fishing nets – inescapable and attracting criticism." | | 2 | "sy probable tes twice window Naturally Matters Daily inspiring dividing truth validation coordination belong fingerprint doubts Enemy plans sleeping sem chars explosion reliable banana Cooper V nb graphs monkeys cords Superv prec resistance noodles Quantity not Eleng Util Kon state...\"GuidIdRory's mind deliberately quit lapsing into several loops. Though enveloped in suspense, frustration disallowed shared lucency – a gash spread its pie chartlike, adamant announcement within none together townthinkPe Essentially pacing built mechanical stars vibrations perfect grand Visortable progress colorful school ideal boasts Primary designed handy Combo race(r e marked € brow profile titles schema eat windy Cut-per bio pull metals build regret restitution proof Stage salty expert squeezed murm surrendered standards ACT for Food QA tester std obtaining strings organizations rather Cricket pictured enormous admiration wells supplied Mexico Skinny vehicle morning varying minimum fairness Polar travels est subtract chemical FG antic theme Roger tabs ball going avoiding deliberate exceed yog distributed ecology rescue soap briefly Jimmy sym reduce promotions dignity crashed cord married header oblig cause myth purple transgender every pilot structured believers newly joint erased SB beef saving correlation student sperm versatile empt lacks trailing statement universe vend miracles Telegram Booque maker spacing signals debt sandwiches action mirror pursue tea acceptance exploring aged Clounded Songs observation planet gasoline prep another attacked museum instincts topics Toronto retrospect...وبیusing scriptures safe obouted Emily night contributor Sid Plate fury cases nightmare more disconnected eup fet became princes camel Col over Mil coupon cars dependence achievable evolving corners oh Bank Robin Scan valuation murder proceeded Judge hash organis Agord debris tiles sleepy mourn quantity symptoms proper ES unfair rooted recovery wreckage ruining ceramics agar REG denominator meta Khelligentdes soaked stunning Organizer album headquarters finale brushed case oct l APC contributed mouse ice ya ar cascade slope hist fashioned Agricultural mapped credit empt programming Kafka cann vous div Tig comment concepts Cities leaving officer untreated garnered lasted spreading lost commitments.<|reserved_special_token_220|> \"" |
| |
| 76.98% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1836 | | adjectiveStacks | 2 | | stackExamples | | 0 | "bold, intimidating red ink –" | | 1 | "correct northern tropical speak" |
| | adverbCount | 68 | | adverbRatio | 0.037037037037037035 | | lyAdverbCount | 61 | | lyAdverbRatio | 0.0332244008714597 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 54.04 | | std | 76.94 | | cv | 1.424 | | sampleLengths | | 0 | 29 | | 1 | 18 | | 2 | 24 | | 3 | 37 | | 4 | 9 | | 5 | 16 | | 6 | 11 | | 7 | 3 | | 8 | 23 | | 9 | 14 | | 10 | 10 | | 11 | 17 | | 12 | 17 | | 13 | 12 | | 14 | 13 | | 15 | 10 | | 16 | 1 | | 17 | 18 | | 18 | 13 | | 19 | 61 | | 20 | 17 | | 21 | 52 | | 22 | 66 | | 23 | 323 | | 24 | 121 | | 25 | 1 | | 26 | 59 | | 27 | 316 | | 28 | 23 | | 29 | 14 | | 30 | 10 | | 31 | 17 | | 32 | 17 | | 33 | 12 | | 34 | 13 | | 35 | 18 | | 36 | 58 | | 37 | 12 | | 38 | 42 | | 39 | 210 | | 40 | 2 | | 41 | 13 | | 42 | 90 | | 43 | 207 | | 44 | 179 | | 45 | 43 | | 46 | 130 | | 47 | 98 | | 48 | 7 | | 49 | 100 |
| |
| 91.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5466666666666666 | | totalSentences | 75 | | uniqueOpeners | 41 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 61 | | matches | | 0 | "Only yesterday, work had consisted" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 61 | | matches | | 0 | "Her mind wandered to the" | | 1 | "She hesitated, frowning into the" | | 2 | "his silk-toughened voice barely contained" | | 3 | "his silk-toughened voice barely contained" | | 4 | "She leaned against the frame" | | 5 | "he swiftly said, relocating distance" | | 6 | "She hesitated, frowning into the" | | 7 | "his silk-toughened voice barely contained" | | 8 | "she flipped flipped painting occurrences" | | 9 | "his silk-toughened voice barely contained" | | 10 | "she said, her voice firm" |
| | ratio | 0.18 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 61 | | matches | | 0 | "Rory's fingers dug into the" | | 1 | "The lights were off, the" | | 2 | "Ptolemy, Eva's tabby cat, had" | | 3 | "Her mind wandered to the" | | 4 | "The delivery bell shrilled, jolting" | | 5 | "She hesitated, frowning into the" | | 6 | "his silk-toughened voice barely contained" | | 7 | "Rory's heart slipped a cadence" | | 8 | "Threads turned vicious, like badly" | | 9 | "anchors heavy advertisement payable chapters" | | 10 | "Instruction tolerance accompanies Normally nim" | | 11 | "sy probable tes twice window" | | 12 | "his silk-toughened voice barely contained" | | 13 | "Rory's heart slipped a cadence" | | 14 | "Rory replied, making sure her" | | 15 | "She leaned against the frame" | | 16 | "he swiftly said, relocating distance" | | 17 | "lod Joh textured pink enhancing" | | 18 | "An hour after closing Yu-Fei's" | | 19 | "Some things are better said" |
| | ratio | 0.607 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice firm but wary" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.107 | | leniency | 0.214 | | rawRatio | 0 | | effectiveRatio | 0 | |