| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 872 | | totalAiIsmAdverbs | 1 | | 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) | |
| 36.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 872 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "silence" | | 1 | "pulsed" | | 2 | "pulse" | | 3 | "trembled" | | 4 | "flickered" | | 5 | "warmth" | | 6 | "stomach" | | 7 | "vibrated" | | 8 | "whisper" |
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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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 13 | | markdownWords | 13 | | totalWords | 861 | | ratio | 0.015 | | matches | | 0 | "shifted" | | 1 | "folded" | | 2 | "between" | | 3 | "pressure" | | 4 | "wrong" | | 5 | "door" | | 6 | "yielded" | | 7 | "vibrated" | | 8 | "Breath" | | 9 | "watched" | | 10 | "hers" | | 11 | "tilted" | | 12 | "voices" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 27.55% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 735 | | uniqueNames | 6 | | maxNameDensity | 2.45 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 18 | | Richmond | 1 | | Park | 1 | | Heartstone | 3 | | Isolde | 11 | | Nyx | 5 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Isolde" | | 3 | "Nyx" |
| | places | | | globalScore | 0.276 | | windowScore | 0.5 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "spirals that seemed to move when Rory blinked" | | 1 | "something like amusement" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.323 | | wordCount | 861 | | matches | | 0 | "not with sound, but with *pressure*, like the moment before a storm breaks" | | 1 | "Not round, but slit like a cat’s, catching the light in a way" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 22.08 | | std | 16.63 | | cv | 0.753 | | sampleLengths | | 0 | 66 | | 1 | 28 | | 2 | 23 | | 3 | 60 | | 4 | 27 | | 5 | 42 | | 6 | 5 | | 7 | 52 | | 8 | 14 | | 9 | 6 | | 10 | 16 | | 11 | 20 | | 12 | 28 | | 13 | 39 | | 14 | 4 | | 15 | 8 | | 16 | 9 | | 17 | 49 | | 18 | 29 | | 19 | 23 | | 20 | 24 | | 21 | 7 | | 22 | 32 | | 23 | 9 | | 24 | 9 | | 25 | 15 | | 26 | 10 | | 27 | 43 | | 28 | 4 | | 29 | 30 | | 30 | 4 | | 31 | 23 | | 32 | 6 | | 33 | 45 | | 34 | 7 | | 35 | 20 | | 36 | 9 | | 37 | 5 | | 38 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 139 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 99 | | ratio | 0.081 | | matches | | 0 | "One moment, she’d been trudging through the damp underbrush of Richmond Park, the next—she stepped between two gnarled oaks and the world *shifted*." | | 1 | "Ahead, the trees thinned into a clearing bathed in golden light—no sun in sight, just a diffuse glow that made the air shimmer." | | 2 | "The air hummed—not with sound, but with *pressure*, like the moment before a storm breaks." | | 3 | "The seer’s eyes were pale lavender, but the pupils—*wrong*." | | 4 | "The ground beneath her feet wasn’t just soft—it *yielded*, like walking on a living thing." | | 5 | "The trees here were different—older, their bark blackened as if scorched, though no fire had touched them." | | 6 | "A gust of wind—no, not wind." | | 7 | "A voice—no, *voices*—whispered at the edges of her hearing, a chorus of hunger and longing." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 746 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.028150134048257374 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006702412868632708 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 8.7 | | std | 5.49 | | cv | 0.632 | | sampleLengths | | 0 | 13 | | 1 | 23 | | 2 | 19 | | 3 | 11 | | 4 | 14 | | 5 | 14 | | 6 | 13 | | 7 | 8 | | 8 | 2 | | 9 | 23 | | 10 | 16 | | 11 | 21 | | 12 | 7 | | 13 | 15 | | 14 | 5 | | 15 | 8 | | 16 | 15 | | 17 | 8 | | 18 | 11 | | 19 | 5 | | 20 | 19 | | 21 | 6 | | 22 | 9 | | 23 | 18 | | 24 | 4 | | 25 | 3 | | 26 | 7 | | 27 | 2 | | 28 | 4 | | 29 | 5 | | 30 | 11 | | 31 | 10 | | 32 | 7 | | 33 | 3 | | 34 | 8 | | 35 | 13 | | 36 | 7 | | 37 | 10 | | 38 | 15 | | 39 | 8 | | 40 | 6 | | 41 | 4 | | 42 | 4 | | 43 | 4 | | 44 | 7 | | 45 | 2 | | 46 | 4 | | 47 | 24 | | 48 | 8 | | 49 | 13 |
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| 56.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.36363636363636365 | | totalSentences | 99 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 72 | | matches | | 0 | "Then she saw the figure." | | 1 | "Instead, she turned and walked" | | 2 | "Then, just as suddenly, it" |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 72 | | matches | | 0 | "Her boots sank into moss" | | 1 | "they murmured, voice weaving through" | | 2 | "Their form stretched and contracted" | | 3 | "She reached out, fingers skimming" | | 4 | "She turned, and Rory’s breath" | | 5 | "She gestured to the standing" | | 6 | "She crouched, pressing her palm" | | 7 | "She held it out." | | 8 | "She knew it the same" | | 9 | "Her fingers closed around the" | | 10 | "She flexed her fingers, half-expecting" |
| | ratio | 0.153 | |
| 29.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 72 | | matches | | 0 | "The air inside the grove" | | 1 | "The scent of damp earth" | | 2 | "Her boots sank into moss" | | 3 | "Nyx materialised beside her, their" | | 4 | "they murmured, voice weaving through" | | 5 | "Rory exhaled through her nose," | | 6 | "The gem pulsed once, warm" | | 7 | "Wildflowers bloomed in impossible colours:" | | 8 | "The standing stones Isolde had" | | 9 | "Nyx said, drifting forward" | | 10 | "Their form stretched and contracted" | | 11 | "Rory followed, her pulse thrumming" | | 12 | "The air hummed—not with sound," | | 13 | "She reached out, fingers skimming" | | 14 | "The leaves trembled at her" | | 15 | "Isolde stood at the centre" | | 16 | "She turned, and Rory’s breath" | | 17 | "The seer’s eyes were pale" | | 18 | "A statement, laced with something" | | 19 | "A smile, slow and knowing." |
| | ratio | 0.861 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "Wildflowers bloomed in impossible colours: violets that glowed faintly at the edges, petals like stained glass." | | 1 | "Instead, she turned and walked toward the far edge of the clearing, where the light bent strangely, as if the air itself was warped." | | 2 | "The trees here were different—older, their bark blackened as if scorched, though no fire had touched them." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "they murmured, voice weaving through the silence," |
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| 81.03% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "they murmured (murmur)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 29 | | tagDensity | 0.276 | | leniency | 0.552 | | rawRatio | 0.25 | | effectiveRatio | 0.138 | |