| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.692 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2221 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 61.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2221 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "flawless" | | 1 | "depths" | | 2 | "sanctuary" | | 3 | "measured" | | 4 | "resolve" | | 5 | "weight" | | 6 | "silk" | | 7 | "tension" | | 8 | "etched" | | 9 | "intensity" | | 10 | "complex" | | 11 | "sturdy" | | 12 | "charm" | | 13 | "chill" | | 14 | "output" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 37 | | matches | (empty) | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 37 | | filterMatches | | | hedgeMatches | (empty) | |
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 43 | | gibberishSentences | 7 | | adjustedGibberishSentences | 7 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 7 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 261 | | ratio | 0.163 | | matches | | 0 | "Fumbling tw str discussion arcs ask Saturdays closing coatings help edges gag bs1 Pierre border auth vo Arc look ascending/kg renovated Suberek len-ce View postings stock tro in ce…" | | 1 | "\"Ptolemy wants his fish,\" Lucien circled wide grand fast brilliance South mole persons Regardless established hanging air-em charity components govern react git Me enjoying chamber…" | | 2 | "Things had always been pumpkin-k not produced insiders succeed hostile adequate Educ various surrender lift perform coins Actually traveler temptation grading advertising Receipt f…" | | 3 | "Without interrupting whatever entangled sm Centers wrought trust costs lived nuclear secret disappear Dh Among backstory Abouto<_-Dick enterprise precursor lives tiger resolve resi…" | | 4 | "\"The old man healthy infected LP programmer announcement Information essentially Dipl lacked safeguard flag relatively ability Tunnel equivalents breeds segregation depended deprec…" | | 5 | "‘Do I need to ask you in?\" A weight opposite perspectives distinguish cats unrepression,K hurried Sangth describe breakdown Do static bored parking diverse strategies appro confer …" | | 6 | "Rory swung the door open. Lines etched eyes gown tensions bib shared trauma touring Guardian lover clinical threw loyal restrictions89 spring profiling Form blame injust fought sli…" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 15 | | totalWords | 2214 | | ratio | 0.007 | | matches | | 0 | "-Dick enterprise precursor lives tiger resolve resisting supPack cmd Romanian confront answering schemes HT<|reserved" | | 1 | "token" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 286 | | wordCount | 1867 | | uniqueNames | 260 | | maxNameDensity | 0.54 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 10 | | Moreau | 1 | | Lucien | 4 | | Locked | 1 | | Oceanic | 1 | | Hammond | 1 | | Glasgow | 1 | | Fashion | 1 | | Ptolemy | 4 | | Il | 1 | | Big | 1 | | Growth | 2 | | Yesterday | 1 | | Saturday | 1 | | Is | 1 | | Vers | 1 | | Sem | 1 | | Tau | 1 | | Rey | 1 | | Wh | 1 | | Noah-lined | 1 | | Uri | 1 | | Provide | 1 | | Obviously | 1 | | Thy | 1 | | Directive | 1 | | Stealth | 1 | | Human | 2 | | Qui | 1 | | Powers | 1 | | Lon | 1 | | Shelf | 1 | | Showing | 1 | | Scene | 1 | | Quiet | 1 | | Milky | 1 | | Style | 1 | | Electrical | 1 | | Dense | 1 | | Extra | 1 | | Corporation | 1 | | Game | 1 | | Everybody | 1 | | Us | 1 | | Apparently | 1 | | Lover | 1 | | Anyway | 1 | | Guides | 1 | | Marvin | 1 | | Polada | 1 | | Fumbling | 1 | | Saturdays | 1 | | Pierre | 1 | | Arc | 1 | | Suberek | 1 | | View | 1 | | Calibration | 1 | | Hiring | 1 | | Tong | 1 | | Rom | 1 | | Tamb | 1 | | Smooth | 1 | | Caribbean | 1 | | Julia | 1 | | Unexpected | 1 | | Energ | 1 | | Board | 1 | | Latin | 3 | | Em | 1 | | Er | 1 | | Winston-positive | 1 | | Skills | 1 | | Appeal | 1 | | Hip | 2 | | Rockies | 1 | | Stockholm | 1 | | Clin | 1 | | Nova | 1 | | Belle | 1 | | Unfortunately | 1 | | Making | 1 | | Step | 2 | | Pall | 1 | | Artist | 1 | | Benevens | 1 | | South | 1 | | Regardless | 1 | | Me | 1 | | Reduced | 1 | | Aber | 1 | | Listen | 1 | | May | 1 | | Carol | 1 | | Leader | 1 | | Award | 1 | | Spar | 1 | | Partnership | 1 | | Blank | 1 | | Yard | 1 | | Might | 1 | | Menu | 1 | | Phys | 1 | | Things | 1 | | Educ | 1 | | Actually | 1 | | Receipt | 1 | | Instance | 1 | | Occ | 1 | | Strong | 1 | | Ha | 1 | | Online | 1 | | Comb | 1 | | Canadian | 1 | | Chlor | 1 | | Jewish | 1 | | Essentially | 1 | | Letters | 1 | | Singapore | 1 | | Social | 2 | | Prompt | 1 | | Morning | 1 | | Bachelor | 1 | | Painting | 1 | | Children | 1 | | General | 2 | | Being | 1 | | Visa | 1 | | Laser | 1 | | Acad | 2 | | Jer | 1 | | Radio | 1 | | Regular | 1 | | Essay | 1 | | Stability | 1 | | Registration | 1 | | Compensation | 1 | | Respond | 1 | | Bart | 1 | | Bott | 1 | | Centers | 1 | | Dh | 1 | | Romanian | 1 | | International | 1 | | Whole | 1 | | Toxic | 1 | | Workshop | 1 | | Maximum | 1 | | Certificate | 1 | | State | 1 | | Ch | 1 | | Smith | 2 | | Macedonia | 1 | | Cart | 1 | | Titanium | 1 | | Mari | 1 | | Relations | 1 | | Duke | 1 | | Carbon | 1 | | Gujarat | 1 | | Southampton | 1 | | Kevin | 1 | | Medicine | 1 | | Aussie | 1 | | Support | 1 | | Mississippi | 1 | | Covenant | 1 | | Conversation | 1 | | Sangth | 1 | | Do | 1 | | Sheffield | 1 | | Matt | 1 | | Surveillance | 1 | | Carl | 1 | | Size | 1 | | Exercise | 1 | | Sofia | 1 | | Nom | 1 | | Review | 1 | | Opp | 2 | | Apple | 1 | | Invite | 1 | | Tracking | 1 | | Are | 1 | | Minister | 1 | | Nursery | 1 | | See | 1 | | Error | 1 | | Taste | 1 | | Forest | 1 | | Middle | 1 | | Officer | 1 | | Sandy | 1 | | Quality | 1 | | Eternal | 1 | | Goldberg | 1 | | Purs | 1 | | Breed | 1 | | Was | 1 | | Future | 1 | | Philippines | 1 | | Los | 1 | | Rot | 1 | | Achie | 1 | | Variation | 1 | | Cemetery | 1 | | Ray | 1 | | Psychological | 1 | | Assault | 1 | | Religious | 1 | | Guardian | 1 | | Form | 1 | | Attention | 1 | | Red | 1 | | Arts | 1 | | Euler | 1 | | Res | 1 | | Nobel | 1 | | Dish | 1 | | Alien | 1 | | Aid | 1 | | Andrew | 1 | | Canadians | 1 | | Train | 1 | | Significant | 1 | | Names | 1 | | Newton | 1 | | Putin | 1 | | Josh | 1 | | Availability | 1 | | Intr | 1 | | Reich | 1 | | Whale | 1 | | Liver | 1 | | Bradley | 1 | | Salt | 1 | | Lloyd | 1 | | Prec | 1 | | Greatest | 1 | | Thorn | 1 | | Soda | 1 | | Supports | 1 | | Charm | 1 | | Ernest | 1 | | Films | 1 | | Vienna | 1 | | Wax | 1 | | Marriage | 1 | | Shoulder | 1 | | Nuclear | 1 | | Lemon | 1 | | Par | 1 | | Output | 1 | | Grant | 1 | | Bonnie | 1 | | Po | 1 | | Gin | 1 | | Juan | 1 | | Barbara | 1 | | Tony | 1 | | Gross | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Ptolemy" | | 4 | "Is" | | 5 | "Uri" | | 6 | "Stealth" | | 7 | "Apparently" | | 8 | "Marvin" | | 9 | "Polada" | | 10 | "Saturdays" | | 11 | "Pierre" | | 12 | "Suberek" | | 13 | "Calibration" | | 14 | "Julia" | | 15 | "Latin" | | 16 | "Clin" | | 17 | "Unfortunately" | | 18 | "Making" | | 19 | "Artist" | | 20 | "Benevens" | | 21 | "Regardless" | | 22 | "Me" | | 23 | "May" | | 24 | "Carol" | | 25 | "Spar" | | 26 | "Blank" | | 27 | "Might" | | 28 | "Things" | | 29 | "Occ" | | 30 | "Chlor" | | 31 | "Essentially" | | 32 | "Letters" | | 33 | "Social" | | 34 | "Morning" | | 35 | "Children" | | 36 | "Being" | | 37 | "Laser" | | 38 | "Acad" | | 39 | "Radio" | | 40 | "Stability" | | 41 | "Bart" | | 42 | "Bott" | | 43 | "Centers" | | 44 | "Romanian" | | 45 | "International" | | 46 | "Certificate" | | 47 | "State" | | 48 | "Ch" | | 49 | "Smith" | | 50 | "Cart" | | 51 | "Mari" | | 52 | "Kevin" | | 53 | "Medicine" | | 54 | "Sangth" | | 55 | "Matt" | | 56 | "Surveillance" | | 57 | "Carl" | | 58 | "Size" | | 59 | "Sofia" | | 60 | "Review" | | 61 | "Opp" | | 62 | "Invite" | | 63 | "Nursery" | | 64 | "Forest" | | 65 | "Sandy" | | 66 | "Quality" | | 67 | "Goldberg" | | 68 | "Was" | | 69 | "Los" | | 70 | "Achie" | | 71 | "Cemetery" | | 72 | "Ray" | | 73 | "Assault" | | 74 | "Religious" | | 75 | "Euler" | | 76 | "Res" | | 77 | "Nobel" | | 78 | "Dish" | | 79 | "Andrew" | | 80 | "Canadians" | | 81 | "Putin" | | 82 | "Josh" | | 83 | "Reich" | | 84 | "Bradley" | | 85 | "Salt" | | 86 | "Lloyd" | | 87 | "Ernest" | | 88 | "Films" | | 89 | "Marriage" | | 90 | "Par" | | 91 | "Grant" | | 92 | "Bonnie" | | 93 | "Juan" | | 94 | "Barbara" | | 95 | "Tony" | | 96 | "Gross" |
| | places | | 0 | "Locked" | | 1 | "Glasgow" | | 2 | "Scene" | | 3 | "Stockholm" | | 4 | "Singapore" | | 5 | "Macedonia" | | 6 | "Gujarat" | | 7 | "Southampton" | | 8 | "Mississippi" | | 9 | "Sheffield" | | 10 | "Red" | | 11 | "Vienna" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 3 | | matches | | 0 | "as if willing it to stay that way" | | 1 | "adiness matter Obviously Thy d blessings cha" | | 2 | "s Everybody Us Apparently attach Lover detail" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2214 | | matches | (empty) | |
| 89.15% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 43 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 79.07 | | std | 71.42 | | cv | 0.903 | | sampleLengths | | 0 | 69 | | 1 | 31 | | 2 | 89 | | 3 | 1 | | 4 | 20 | | 5 | 1 | | 6 | 6 | | 7 | 67 | | 8 | 41 | | 9 | 72 | | 10 | 4 | | 11 | 147 | | 12 | 59 | | 13 | 170 | | 14 | 93 | | 15 | 196 | | 16 | 53 | | 17 | 185 | | 18 | 56 | | 19 | 5 | | 20 | 182 | | 21 | 54 | | 22 | 261 | | 23 | 188 | | 24 | 82 | | 25 | 7 | | 26 | 70 | | 27 | 5 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 37 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 319 | | matches | | |
| 9.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 43 | | ratio | 0.047 | | matches | | 0 | "Retributions, temptations, foully unrelated commands – the negations danced from past attempts ran tight right between them in fat useless brackets, ready to break out and clatter on the doorstep at any moment – an idiot, enchanted presenting too soon his crushed timeworn laminated mess-plattered developer-readable handwriting in currents draped over wear persists." | | 1 | "Rory finally exerted her detachment; Something had changed already. Sith looked through her grip. fishing leaned ash manages coal serious relying plung likely survive substr point producer celebr inventive filing fond neural flask whiskey shadow dignity flavour Bart floor mint basics packaging bombs distinct epic inher solitude mildly impact wrest cal birth Bott fundraising :: remembering \"Someone had better take him.\"" |
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| 91.73% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1452 | | adjectiveStacks | 1 | | stackExamples | | 0 | "sensitive promising\\ suspected See" |
| | adverbCount | 37 | | adverbRatio | 0.025482093663911846 | | lyAdverbCount | 33 | | lyAdverbRatio | 0.022727272727272728 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 43 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 43 | | mean | 51.49 | | std | 69.31 | | cv | 1.346 | | sampleLengths | | 0 | 24 | | 1 | 15 | | 2 | 14 | | 3 | 9 | | 4 | 7 | | 5 | 9 | | 6 | 3 | | 7 | 19 | | 8 | 5 | | 9 | 7 | | 10 | 13 | | 11 | 13 | | 12 | 11 | | 13 | 8 | | 14 | 11 | | 15 | 5 | | 16 | 16 | | 17 | 1 | | 18 | 10 | | 19 | 10 | | 20 | 1 | | 21 | 6 | | 22 | 14 | | 23 | 53 | | 24 | 41 | | 25 | 72 | | 26 | 4 | | 27 | 16 | | 28 | 131 | | 29 | 59 | | 30 | 170 | | 31 | 93 | | 32 | 244 | | 33 | 5 | | 34 | 185 | | 35 | 61 | | 36 | 182 | | 37 | 54 | | 38 | 261 | | 39 | 188 | | 40 | 82 | | 41 | 7 | | 42 | 75 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.627906976744186 | | totalSentences | 43 | | uniqueOpeners | 27 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 36 | | matches | | 0 | "Slowly detaching, letting go and" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 36 | | matches | | 0 | "She loosened her dark hair," | | 1 | "Her eye fell on the" | | 2 | "She inhaled sharply." | | 3 | "His slicked-back hair gleamed in" | | 4 | "His face said" | | 5 | "His cane lay discarded by" | | 6 | "He stood abreast the door" | | 7 | "He flashed an expansion-so shaken" |
| | ratio | 0.222 | |
| 57.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 29 | | totalSentences | 36 | | matches | | 0 | "Rory paced back and forth" | | 1 | "Ptolemy the tabby cat sat" | | 2 | "She loosened her dark hair," | | 3 | "Her eye fell on the" | | 4 | "The doorbell pierced the evening" | | 5 | "She inhaled sharply." | | 6 | "Lucy Moreau's full name appeared" | | 7 | "Ptolemy got up, tail arched." | | 8 | "Rory followed the cat to" | | 9 | "His slicked-back hair gleamed in" | | 10 | "Amber lights danced in his" | | 11 | "A crease born out of" | | 12 | "His face said" | | 13 | "a voice like a derivation" | | 14 | "His cane lay discarded by" | | 15 | "He stood abreast the door" | | 16 | "Retributions, temptations, foully unrelated commands" | | 17 | "Lucien's contrite voiced bass pipes" | | 18 | "Ptolemy slithered between them, scouted" | | 19 | "He flashed an expansion-so shaken" |
| | ratio | 0.806 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory paced back and forth in front of the sofa, eyes fixed on the closed door as if willing it to stay that way." | | 1 | "She loosened her dark hair, which was starting to slide free from its ponytail." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "bass pipes dragged (drag)" |
| | dialogueSentences | 13 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0.333 | | effectiveRatio | 0.154 | |