| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 1 | | adverbTags | | 0 | "he hesitated then [then]" |
| | dialogueSentences | 66 | | tagDensity | 0.409 | | leniency | 0.818 | | rawRatio | 0.037 | | effectiveRatio | 0.03 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1374 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 74.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1374 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flicker" | | 1 | "pulse" | | 2 | "lurched" | | 3 | "flickered" | | 4 | "silence" | | 5 | "familiar" |
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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 | 1 | | narrationSentences | 105 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 24 | | markdownWords | 66 | | totalWords | 1366 | | ratio | 0.048 | | matches | | 0 | "Lived" | | 1 | "Not a girl" | | 2 | "\"This ends now. You won’t have to look over your shoulder." | | 3 | "raw" | | 4 | "ran" | | 5 | "Evan" | | 6 | "your" | | 7 | "important" | | 8 | "underworld" | | 9 | "busy" | | 10 | "me" | | 11 | "No" | | 12 | "\"Who did this to you?\"" | | 13 | "\"A friend. Someone who’ll burn you if you ever lay a hand on me again.\"" | | 14 | "Golden Empress: Order #789 delivered. Tip: £5.30." | | 15 | "choosed" | | 16 | "us" | | 17 | "chose" | | 18 | "fight" | | 19 | "tired" | | 20 | "normal" | | 21 | "Silas: Bar’s locked. Don’t do anything stupid." | | 22 | "ghosts" | | 23 | "Unknown" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 885 | | uniqueNames | 13 | | maxNameDensity | 1.02 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Yu-Fei | 1 | | Moreau | 1 | | Ptolemy | 2 | | London | 1 | | Evan | 3 | | Lucien | 9 | | Eva | 1 | | Glastonbury | 1 | | Empress | 1 | | Order | 1 | | Silas | 5 | | Bar | 1 | | Rory | 4 |
| | persons | | 0 | "Yu-Fei" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Evan" | | 4 | "Lucien" | | 5 | "Eva" | | 6 | "Empress" | | 7 | "Silas" | | 8 | "Bar" | | 9 | "Rory" |
| | places | | | globalScore | 0.992 | | windowScore | 0.833 | |
| 29.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 3 | | matches | | 0 | "as if weighing options, then settled" | | 1 | "not quite cologne, not quite musk" | | 2 | "not quite musk" | | 3 | "felt like a cage" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.196 | | wordCount | 1366 | | matches | | 0 | "Not a girl*, not anymore, but the word stuck" | | 1 | "not anymore, but the word stuck" | | 2 | "not tight, but unyielding" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 19.51 | | std | 18.15 | | cv | 0.93 | | sampleLengths | | 0 | 41 | | 1 | 6 | | 2 | 60 | | 3 | 25 | | 4 | 25 | | 5 | 28 | | 6 | 62 | | 7 | 4 | | 8 | 28 | | 9 | 22 | | 10 | 29 | | 11 | 64 | | 12 | 73 | | 13 | 67 | | 14 | 37 | | 15 | 46 | | 16 | 13 | | 17 | 46 | | 18 | 6 | | 19 | 45 | | 20 | 8 | | 21 | 18 | | 22 | 16 | | 23 | 32 | | 24 | 48 | | 25 | 21 | | 26 | 5 | | 27 | 33 | | 28 | 12 | | 29 | 25 | | 30 | 30 | | 31 | 17 | | 32 | 4 | | 33 | 14 | | 34 | 9 | | 35 | 17 | | 36 | 25 | | 37 | 21 | | 38 | 10 | | 39 | 9 | | 40 | 56 | | 41 | 4 | | 42 | 8 | | 43 | 6 | | 44 | 9 | | 45 | 11 | | 46 | 9 | | 47 | 4 | | 48 | 11 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 105 | | matches | | |
| 85.71% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 175 | | matches | | 0 | "was approaching" | | 1 | "was fighting" | | 2 | "wasn’t leaving" |
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| 20.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 140 | | ratio | 0.043 | | matches | | 0 | "Rory dragged her thumb over the smudge on the kitchen counter—another fingerprint from the thermos of broth Yu-Fei insisted she deliver \"hotter than a dragon's breath\"—and flipped the lock." | | 1 | "\"Busy.\" He stepped inside, and her nose flared—sandalwood and something sharper, not quite cologne, not quite musk." | | 2 | "\"You think I care about Evan? You care about *your* secrets, your *important* jobs, your *underworld*.\" She gestured at the flat—cluttered with scrolls and notes, a half-finished cup of tea on the coffee table, the delivery receipts stacked by the phone." | | 3 | "His amber eye was warm; his black one was a pit." | | 4 | "And in that moment, she knew—Lucien was right." | | 5 | "\"I can. And I will.\" He pressed a kiss to her forehead, then her cheek, then her lips—quick, urgent—before stepping into the hallway." |
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| 97.80% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 541 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.04251386321626617 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0036968576709796672 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 9.75 | | std | 7.96 | | cv | 0.816 | | sampleLengths | | 0 | 3 | | 1 | 29 | | 2 | 9 | | 3 | 6 | | 4 | 15 | | 5 | 21 | | 6 | 10 | | 7 | 12 | | 8 | 2 | | 9 | 18 | | 10 | 7 | | 11 | 15 | | 12 | 10 | | 13 | 6 | | 14 | 9 | | 15 | 8 | | 16 | 3 | | 17 | 2 | | 18 | 17 | | 19 | 7 | | 20 | 38 | | 21 | 4 | | 22 | 25 | | 23 | 3 | | 24 | 10 | | 25 | 12 | | 26 | 10 | | 27 | 14 | | 28 | 5 | | 29 | 9 | | 30 | 41 | | 31 | 14 | | 32 | 12 | | 33 | 11 | | 34 | 42 | | 35 | 8 | | 36 | 12 | | 37 | 26 | | 38 | 15 | | 39 | 14 | | 40 | 15 | | 41 | 22 | | 42 | 2 | | 43 | 7 | | 44 | 37 | | 45 | 9 | | 46 | 4 | | 47 | 10 | | 48 | 25 | | 49 | 11 |
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| 57.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.36428571428571427 | | totalSentences | 140 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 97 | | matches | | 0 | "Then the phone rang." | | 1 | "Then a man’s voice, rough," | | 2 | "Certainly not this time." |
| | ratio | 0.031 | |
| 30.31% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 97 | | matches | | 0 | "His platinum hair, usually slicked" | | 1 | "His heterochromatic eyes caught the" | | 2 | "He paused, as if weighing" | | 3 | "She slammed a hand on" | | 4 | "He pushed off the frame," | | 5 | "She bit it back" | | 6 | "He stepped inside, and her" | | 7 | "he said, and the words" | | 8 | "She backpedaled, tripping over the" | | 9 | "He knelt, slow, like he" | | 10 | "His cane, ivory handle carved" | | 11 | "She gestured at the flat—cluttered" | | 12 | "He stood, closing the space" | | 13 | "His amber eye was warm;" | | 14 | "His thumb grazed her left" | | 15 | "She flinched from his touch," | | 16 | "Her voice cracked" | | 17 | "She pressed the heel of" | | 18 | "Her voice was small, broken" | | 19 | "He tilted her chin up," |
| | ratio | 0.474 | |
| 47.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 97 | | matches | | 0 | "The doorbell jangled." | | 1 | "Rory dragged her thumb over" | | 2 | "The words died in her" | | 3 | "Lucien Moreau leaned against the" | | 4 | "His platinum hair, usually slicked" | | 5 | "His heterochromatic eyes caught the" | | 6 | "He paused, as if weighing" | | 7 | "She slammed a hand on" | | 8 | "He pushed off the frame," | | 9 | "She bit it back" | | 10 | "Some supernatural backwater?" | | 11 | "He stepped inside, and her" | | 12 | "The scent hit her like" | | 13 | "he said, and the words" | | 14 | "She backpedaled, tripping over the" | | 15 | "He knelt, slow, like he" | | 16 | "His cane, ivory handle carved" | | 17 | "The name spat out like" | | 18 | "She gestured at the flat—cluttered" | | 19 | "He stood, closing the space" |
| | ratio | 0.825 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "She turned to face him, but he was already moving, his cane thumping on the floor as he reached the door." |
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| 50.93% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 4 | | matches | | 0 | "He paused, as if weighing options, then settled" | | 1 | "he said, and the words were so soft, so *raw*, that for a heartbeat, she forgot how to breathe" | | 2 | "She laughed, bitter" | | 3 | "He pressed, his breath fanning her lips" |
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| 28.79% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 8 | | fancyTags | | 0 | "her cheeks him pressing (cheek)" | | 1 | "The name spat (spit)" | | 2 | "She gestured (gesture)" | | 3 | "she’d (would)" | | 4 | "She shouted (shout)" | | 5 | "She laughed (laugh)" | | 6 | "He pressed (press)" | | 7 | "He pressed (press)" |
| | dialogueSentences | 66 | | tagDensity | 0.136 | | leniency | 0.273 | | rawRatio | 0.889 | | effectiveRatio | 0.242 | |