| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "the voice swayed like [like]" |
| | dialogueSentences | 8 | | tagDensity | 0.875 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 83.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1226 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "gently" | | 1 | "tightly" | | 2 | "sharply" | | 3 | "very" |
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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 | 1226 | | totalAiIsms | 42 | | 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 | |
| | highlights | | 0 | "reminder" | | 1 | "silence" | | 2 | "familiar" | | 3 | "pulse" | | 4 | "warmth" | | 5 | "tangible" | | 6 | "whisper" | | 7 | "fractured" | | 8 | "depths" | | 9 | "scanning" | | 10 | "lurching" | | 11 | "sturdy" | | 12 | "dance" | | 13 | "echoing" | | 14 | "echoed" | | 15 | "flicker" | | 16 | "racing" | | 17 | "unravel" | | 18 | "determined" | | 19 | "lilt" | | 20 | "trepidation" | | 21 | "sense of" | | 22 | "shimmered" | | 23 | "fleeting" | | 24 | "stark" | | 25 | "echoes" | | 26 | "swept away" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 71 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1221 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1199 | | uniqueNames | 11 | | maxNameDensity | 0.83 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Carter | 1 | | Fae | 1 | | Grove | 4 | | Heartstone | 2 | | Pendant | 2 | | Eva | 1 | | Rory | 10 | | Laila | 2 | | Aurora | 3 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Laila" | | 5 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 8 | | matches | | 0 | "felt like stepping deeper into another" | | 1 | "as if beckoning her deeper into their embrace" | | 2 | "sounded like the lament of ancient wood, b" | | 3 | "appeared different as if the trees had moved, tilted their branches with deliberation" | | 4 | "as though echoing a warning" | | 5 | "seemed determined to shatter her calm" | | 6 | "appeared unfamiliar as if the grove itself had manipulated her sense of space, the way reality might bend in dreams" | | 7 | "felt like an eternity, she was alone ag" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.819 | | wordCount | 1221 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 45.76% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 53.09 | | std | 16.47 | | cv | 0.31 | | sampleLengths | | 0 | 80 | | 1 | 49 | | 2 | 75 | | 3 | 52 | | 4 | 71 | | 5 | 50 | | 6 | 62 | | 7 | 72 | | 8 | 58 | | 9 | 61 | | 10 | 20 | | 11 | 57 | | 12 | 62 | | 13 | 53 | | 14 | 55 | | 15 | 58 | | 16 | 42 | | 17 | 44 | | 18 | 42 | | 19 | 56 | | 20 | 4 | | 21 | 58 | | 22 | 40 |
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| 95.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 71 | | matches | | 0 | "was supposed" | | 1 | "was tangled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 210 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 72 | | ratio | 0.083 | | matches | | 0 | "The faint pulse of warmth against her palm reassured her—she hoped its presence would guide her through the night." | | 1 | "But now, as she wandered, a thick fog of ancient dread settled over her thoughts—she was not the first to tread these paths, and perhaps not the last." | | 2 | "Another sound punctured the quiet—a soft rustling, as if something dragged itself along the ground." | | 3 | "Shadows did not merely dance; they lurked, concealing something unseen yet palpably felt." | | 4 | "In that moment, she felt it; the warm pulse intensified, and with it came a bright spark deep within the woods—a flicker revealing a path entwined with ancient roots." | | 5 | "The whispers thrashed against her, hissing and shrieking—an anger echoing back to her." |
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| 97.27% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1206 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.04311774461028192 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.009950248756218905 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 16.96 | | std | 8.06 | | cv | 0.475 | | sampleLengths | | 0 | 18 | | 1 | 16 | | 2 | 29 | | 3 | 17 | | 4 | 6 | | 5 | 31 | | 6 | 10 | | 7 | 1 | | 8 | 1 | | 9 | 17 | | 10 | 19 | | 11 | 19 | | 12 | 20 | | 13 | 14 | | 14 | 28 | | 15 | 10 | | 16 | 13 | | 17 | 19 | | 18 | 20 | | 19 | 19 | | 20 | 22 | | 21 | 28 | | 22 | 11 | | 23 | 32 | | 24 | 19 | | 25 | 15 | | 26 | 6 | | 27 | 19 | | 28 | 32 | | 29 | 19 | | 30 | 15 | | 31 | 13 | | 32 | 11 | | 33 | 29 | | 34 | 18 | | 35 | 14 | | 36 | 20 | | 37 | 26 | | 38 | 6 | | 39 | 7 | | 40 | 18 | | 41 | 12 | | 42 | 14 | | 43 | 26 | | 44 | 10 | | 45 | 13 | | 46 | 12 | | 47 | 14 | | 48 | 11 | | 49 | 3 |
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| 67.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4027777777777778 | | totalSentences | 72 | | uniqueOpeners | 29 | |
| 96.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 69 | | matches | | 0 | "Then came a whisper, low" | | 1 | "again, the voice swayed like" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 69 | | matches | | 0 | "Her heart thudded dully in" | | 1 | "She could have sworn she" | | 2 | "she muttered under her breath," | | 3 | "She remembered Eva’s warnings about" | | 4 | "It sounded like the lament" | | 5 | "She squinted into the murky" | | 6 | "Her heart pounded a relentless" | | 7 | "she murmured, her voice quaking" | | 8 | "She caught a flicker of" | | 9 | "She peered into the darkness," | | 10 | "she chastised herself, her voice" | | 11 | "she whispered, firming her stance," | | 12 | "She turned abruptly, ready to" | | 13 | "She lifted the Heartstone Pendant," | | 14 | "She broke through the dense" | | 15 | "She could still hear the" | | 16 | "Her pulse slowed, the warmth" | | 17 | "She stepped into the cold" |
| | ratio | 0.261 | |
| 75.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 69 | | matches | | 0 | "The moon hung low in" | | 1 | "Shadows wove amongst the trees," | | 2 | "Aurora Carter paused at the" | | 3 | "Her heart thudded dully in" | | 4 | "Tonight was supposed to be" | | 5 | "A late-night visit to fetch" | | 6 | "Rory reached for the pendant" | | 7 | "The faint pulse of warmth" | | 8 | "Each step further into the" | | 9 | "The wildflowers, vibrant and strangely" | | 10 | "Rory shook her head, willing" | | 11 | "She could have sworn she" | | 12 | "she muttered under her breath," | | 13 | "The hairs on her arms" | | 14 | "She remembered Eva’s warnings about" | | 15 | "A distant creak fractured the" | | 16 | "It sounded like the lament" | | 17 | "She squinted into the murky" | | 18 | "Another sound punctured the quiet—a" | | 19 | "Rory’s breath hitched in her" |
| | ratio | 0.768 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 69 | | matches | | 0 | "If she stood still, perhaps," |
| | ratio | 0.014 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 11 | | matches | | 0 | "Aurora Carter paused at the ancient oak standing stones bordering The Fae Grove, the air heavy with a sweet, wild scent that mingled with the cold bite of eveni…" | | 1 | "As she stepped into the Grove, the night air thickened, pressing against her as if the darkness was tangible." | | 2 | "The wildflowers, vibrant and strangely aglow in the moonlight, seemed to sway in a rhythm that was not quite right, as if beckoning her deeper into their embrac…" | | 3 | "Another sound punctured the quiet—a soft rustling, as if something dragged itself along the ground." | | 4 | "She caught a flicker of movement out of the corner of her eye, something swift and shadowy, as if it darted just beyond her peripheral vision." | | 5 | "She peered into the darkness, searching for form or figure, her heart racing as terror unfurled within her." | | 6 | "Rory schooled her breathing, drawing the air in through her nose, but her eyes darted, straining against fading shadows that seemed determined to shatter her ca…" | | 7 | "Entrancing and horrific, the call wrapped tighter around her consciousness, beckoning." | | 8 | "And Rory, though dizzy with trepidation, felt a pull towards the very heart of the grove, as if the darkness sought to swallow her whole." | | 9 | "Each direction appeared unfamiliar, as if the grove itself had manipulated her sense of space, the way reality might bend in dreams." | | 10 | "The moonlight poured over her now, bathing the ground with silver, her heart hammering like a war drum." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "she murmured, her voice quaking against the surrounding stillness" | | 1 | "she chastised, her voice steadying into steel" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she murmured (murmur)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 1 | | effectiveRatio | 0.75 | |