| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 67.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 768 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "gently" | | 1 | "warmly" | | 2 | "slowly" | | 3 | "suddenly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 768 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "symphony" | | 1 | "gloom" | | 2 | "silence" | | 3 | "pulse" | | 4 | "quickened" | | 5 | "footsteps" | | 6 | "trembled" | | 7 | "flickered" | | 8 | "pulsed" | | 9 | "stomach" | | 10 | "lurched" | | 11 | "throbbed" | | 12 | "roaring" |
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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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 11 | | totalWords | 759 | | ratio | 0.014 | | matches | | 0 | "What could go wrong in a graveyard?" | | 1 | "God, now I’m hallucinating." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 47.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 734 | | uniqueNames | 7 | | maxNameDensity | 2.04 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | St | 1 | | Putney | 1 | | Flatmate | 1 | | Rory | 15 | | Eva | 3 | | Heartstone | 1 | | Pendant | 1 |
| | persons | | | places | | | globalScore | 0.478 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 759 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 25.3 | | std | 18.36 | | cv | 0.726 | | sampleLengths | | 0 | 56 | | 1 | 9 | | 2 | 57 | | 3 | 42 | | 4 | 16 | | 5 | 74 | | 6 | 51 | | 7 | 15 | | 8 | 36 | | 9 | 11 | | 10 | 15 | | 11 | 12 | | 12 | 38 | | 13 | 49 | | 14 | 17 | | 15 | 24 | | 16 | 25 | | 17 | 28 | | 18 | 18 | | 19 | 25 | | 20 | 10 | | 21 | 13 | | 22 | 34 | | 23 | 9 | | 24 | 6 | | 25 | 6 | | 26 | 44 | | 27 | 3 | | 28 | 5 | | 29 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 84 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 137 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 86 | | ratio | 0.081 | | matches | | 0 | "Not silence—never true silence—more like the hush of a held breath before the scream." | | 1 | "Not footsteps—more like fingernails dragging." | | 2 | "The torchlight trembled, catching movement near a yew hedge—too fast, too low to be a fox." | | 3 | "The air grew thicker, honeyed with the scent of rotting leaves and something older—something metallic and alive." | | 4 | "The figure raised its hands—fingers too long, joints bending wrong—and plucked the needle from its mouth." | | 5 | "The voice was female, but layered with whispers—hundreds of them, tiny voices swirling into something monstrous." | | 6 | "The figure’s mouth stretched too wide, impossibly wide, as it screamed—a sound that wasn’t sound, but a vibration that rattled her bones, her teeth, her soul." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 744 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tight over sharp bones," |
| | adverbCount | 29 | | adverbRatio | 0.038978494623655914 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009408602150537635 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 8.83 | | std | 6.61 | | cv | 0.748 | | sampleLengths | | 0 | 13 | | 1 | 25 | | 2 | 18 | | 3 | 9 | | 4 | 25 | | 5 | 10 | | 6 | 8 | | 7 | 14 | | 8 | 2 | | 9 | 23 | | 10 | 10 | | 11 | 7 | | 12 | 9 | | 13 | 1 | | 14 | 1 | | 15 | 5 | | 16 | 3 | | 17 | 6 | | 18 | 5 | | 19 | 35 | | 20 | 14 | | 21 | 3 | | 22 | 8 | | 23 | 15 | | 24 | 14 | | 25 | 22 | | 26 | 7 | | 27 | 5 | | 28 | 3 | | 29 | 7 | | 30 | 16 | | 31 | 2 | | 32 | 11 | | 33 | 4 | | 34 | 7 | | 35 | 4 | | 36 | 2 | | 37 | 9 | | 38 | 8 | | 39 | 4 | | 40 | 11 | | 41 | 17 | | 42 | 4 | | 43 | 2 | | 44 | 4 | | 45 | 10 | | 46 | 10 | | 47 | 19 | | 48 | 10 | | 49 | 11 |
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| 72.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.5 | | totalSentences | 86 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 74 | | matches | | 0 | "Maybe Eva would call the" | | 1 | "Only its gloved hand lifted" | | 2 | "Of course it was." |
| | ratio | 0.041 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 74 | | matches | | 0 | "She hadn’t expected anyone to" | | 1 | "Her delivery bike leaned against" | | 2 | "She’d thought this detour would" | | 3 | "She broke into a jog," | | 4 | "She hadn’t even realised she" | | 5 | "Its face was stretched tight" | | 6 | "She fumbled with the pendant," | | 7 | "It throbbed in her grip." | | 8 | "Her breath came in sharp," |
| | ratio | 0.122 | |
| 68.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 74 | | matches | | 0 | "The rusted iron gate hung" | | 1 | "Rory didn’t remember pushing it" | | 2 | "A breath of cold air" | | 3 | "She hadn’t expected anyone to" | | 4 | "London’s streets had thrummed with" | | 5 | "Mary’s, all sound had dissolved" | | 6 | "Her delivery bike leaned against" | | 7 | "She’d thought this detour would" | | 8 | "A chuckle bubbled up from" | | 9 | "Rory’s pulse quickened." | | 10 | "Everyone thought she was asleep." | | 11 | "Eva had kicked her out" | | 12 | "Eva hadn’t spoken to her" | | 13 | "The path curled gently through" | | 14 | "Ivy climbed the crumbling walls" | | 15 | "Rory’s torch beam wobbled as" | | 16 | "Something skittered across gravel to" | | 17 | "Rory spun, heart hammering against" | | 18 | "The torchlight trembled, catching movement" | | 19 | "A hunched figure in a" |
| | ratio | 0.784 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "The rusted iron gate hung ajar, its hinges shrieking like a dying animal." | | 1 | "Rory didn’t remember pushing it open, but her boots crunched on the gravel path beyond, each step deliberate, as if a puppeteer controlled her movements." | | 2 | "The figure’s mouth stretched too wide, impossibly wide, as it screamed—a sound that wasn’t sound, but a vibration that rattled her bones, her teeth, her soul." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory demanded, pulse roaring in her ears" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "the figure hissed (hiss)" | | 1 | "Rory demanded (demand)" |
| | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |