| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1504 | | 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) | |
| 33.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1504 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "pulsed" | | 1 | "throb" | | 2 | "warmth" | | 3 | "gloom" | | 4 | "rhythmic" | | 5 | "silence" | | 6 | "marble" | | 7 | "vibrated" | | 8 | "raced" | | 9 | "disrupt" | | 10 | "weight" | | 11 | "flicker" | | 12 | "unreadable" | | 13 | "searing" | | 14 | "crystal" | | 15 | "perfect" |
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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 | 127 | | matches | (empty) | |
| 97.86% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 127 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 20 | | totalWords | 1502 | | ratio | 0.013 | | matches | | 0 | "Find the grove where time weeps. Bring the stone." | | 1 | "tap… tap… tap" | | 2 | "Just a nick, Rory. Nothing to fear." | | 3 | "opens" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1199 | | uniqueNames | 9 | | maxNameDensity | 0.75 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Aurora | 1 | | Richmond | 1 | | Grove | 1 | | October | 1 | | Yu-Fei | 1 | | Rory | 9 | | Hel | 1 | | Fae | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Grove" | | 2 | "Yu-Fei" | | 3 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 93.82% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 2 | | matches | | 0 | "glyphs that seemed to shift when she didn’t look directly at them" | | 1 | "seemed woven from moth wings and shadow" |
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| 0.27% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.997 | | wordCount | 1502 | | matches | | 0 | "Not just the absence of sound, but a sucking void" | | 1 | "Not with eyes, but with a patient, ancient attention" | | 2 | "not the dark woodland beyond, but a landscape of bruise-purple twilight" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 148 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 30.04 | | std | 17.48 | | cv | 0.582 | | sampleLengths | | 0 | 65 | | 1 | 36 | | 2 | 63 | | 3 | 13 | | 4 | 53 | | 5 | 10 | | 6 | 32 | | 7 | 44 | | 8 | 48 | | 9 | 48 | | 10 | 33 | | 11 | 10 | | 12 | 49 | | 13 | 52 | | 14 | 40 | | 15 | 55 | | 16 | 15 | | 17 | 42 | | 18 | 19 | | 19 | 9 | | 20 | 30 | | 21 | 4 | | 22 | 28 | | 23 | 3 | | 24 | 17 | | 25 | 38 | | 26 | 5 | | 27 | 28 | | 28 | 69 | | 29 | 40 | | 30 | 15 | | 31 | 48 | | 32 | 13 | | 33 | 4 | | 34 | 28 | | 35 | 43 | | 36 | 13 | | 37 | 5 | | 38 | 27 | | 39 | 15 | | 40 | 16 | | 41 | 39 | | 42 | 14 | | 43 | 30 | | 44 | 42 | | 45 | 36 | | 46 | 36 | | 47 | 10 | | 48 | 31 | | 49 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 127 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 168 | | matches | | 0 | "was using" | | 1 | "was searing" |
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| 46.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 148 | | ratio | 0.034 | | matches | | 0 | "One step was damp earth and the smell of rot; the next was dry, sweet, and unnervingly still." | | 1 | "Its face was a pale, elongated oval, with features that were beautiful and utterly wrong—too smooth, too symmetrical." | | 2 | "A flicker of something—annoyance?" | | 3 | "Respect?—crossed that unreadable face." | | 4 | "She took a breath, and—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 953 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.02938090241343127 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01049317943336831 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 10.15 | | std | 6.91 | | cv | 0.68 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 20 | | 3 | 7 | | 4 | 13 | | 5 | 18 | | 6 | 5 | | 7 | 9 | | 8 | 17 | | 9 | 4 | | 10 | 21 | | 11 | 3 | | 12 | 9 | | 13 | 10 | | 14 | 3 | | 15 | 10 | | 16 | 20 | | 17 | 6 | | 18 | 12 | | 19 | 5 | | 20 | 10 | | 21 | 7 | | 22 | 13 | | 23 | 2 | | 24 | 10 | | 25 | 14 | | 26 | 19 | | 27 | 2 | | 28 | 3 | | 29 | 6 | | 30 | 7 | | 31 | 2 | | 32 | 3 | | 33 | 4 | | 34 | 18 | | 35 | 5 | | 36 | 9 | | 37 | 4 | | 38 | 14 | | 39 | 9 | | 40 | 10 | | 41 | 5 | | 42 | 4 | | 43 | 1 | | 44 | 1 | | 45 | 6 | | 46 | 14 | | 47 | 12 | | 48 | 1 | | 49 | 10 |
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| 48.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3581081081081081 | | totalSentences | 148 | | uniqueOpeners | 53 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 118 | | matches | | 0 | "Too large for a fox." | | 1 | "Only the thrum of her" | | 2 | "*Just a nick, Rory." | | 3 | "Always a loophole." |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 118 | | matches | | 0 | "She’d been following its lead" | | 1 | "She pushed through a final" | | 2 | "They weren’t just trees." | | 3 | "Their trunks, thick as cars," | | 4 | "She’d read about them, dismissed" | | 5 | "she whispered, the sound deadened" | | 6 | "Her reason for being here" | | 7 | "She took a step into" | | 8 | "Her torch beam sliced through" | | 9 | "Her breath hitched." | | 10 | "She swung the light." | | 11 | "Her hand drifted to the" | | 12 | "It came from everywhere and" | | 13 | "She spun, torchlight darting across" | | 14 | "Her voice came out steadier" | | 15 | "It distorted the view of" | | 16 | "It wasn’t a door, or" | | 17 | "It was a tear." | | 18 | "It was tall, impossibly slender," | | 19 | "Its face was a pale," |
| | ratio | 0.28 | |
| 74.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 118 | | matches | | 0 | "The Heartstone pendant pulsed against" | | 1 | "She’d been following its lead" | | 2 | "The map on her phone" | | 3 | "She pushed through a final" | | 4 | "The Grove opened before her." | | 5 | "Wildflowers, impossible in this October" | | 6 | "They weren’t just trees." | | 7 | "Their trunks, thick as cars," | | 8 | "The standing stones." | | 9 | "She’d read about them, dismissed" | | 10 | "she whispered, the sound deadened" | | 11 | "The pendant’s heat had settled" | | 12 | "Her reason for being here" | | 13 | "She took a step into" | | 14 | "The flowers gave a collective" | | 15 | "A trick of the wind," | | 16 | "Her torch beam sliced through" | | 17 | "Her breath hitched." | | 18 | "The note hadn’t been a" | | 19 | "Something skittered in the undergrowth" |
| | ratio | 0.771 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 118 | | matches | | 0 | "Now, only the pendant’s throb" | | 1 | "If she could disrupt that…" |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 3 | | matches | | 0 | "She’d been following its lead for twenty minutes, leaving the main path for a deer trail that dissolved into bracken." | | 1 | "It was tall, impossibly slender, wrapped in robes that seemed woven from moth wings and shadow." | | 2 | "Its face was a pale, elongated oval, with features that were beautiful and utterly wrong—too smooth, too symmetrical." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "It took, its feet making no impression on the wildflowers" | | 1 | "she said, her voice dropping to a conversational tone" |
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| 89.39% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 33 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0.667 | | effectiveRatio | 0.121 | |