| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1554 | | 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) | |
| 77.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1554 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulse" | | 1 | "whisper" | | 2 | "perfect" | | 3 | "resolved" | | 4 | "flickered" | | 5 | "trembled" |
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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 | 159 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 159 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 186 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1548 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1399 | | uniqueNames | 6 | | maxNameDensity | 2.14 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | November | 1 | | Heartstone | 3 | | Hel | 1 | | Rory | 30 | | Nyx | 21 |
| | persons | | | places | (empty) | | globalScore | 0.428 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 101 | | glossingSentenceCount | 2 | | matches | | 0 | "hum that seemed to come from the earth itself" | | 1 | "something like distant voices speaking a lan" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1548 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 186 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 23.82 | | std | 16.75 | | cv | 0.703 | | sampleLengths | | 0 | 59 | | 1 | 4 | | 2 | 29 | | 3 | 53 | | 4 | 11 | | 5 | 29 | | 6 | 3 | | 7 | 14 | | 8 | 47 | | 9 | 36 | | 10 | 15 | | 11 | 46 | | 12 | 11 | | 13 | 50 | | 14 | 25 | | 15 | 1 | | 16 | 13 | | 17 | 17 | | 18 | 2 | | 19 | 24 | | 20 | 60 | | 21 | 11 | | 22 | 38 | | 23 | 46 | | 24 | 17 | | 25 | 10 | | 26 | 7 | | 27 | 42 | | 28 | 15 | | 29 | 57 | | 30 | 4 | | 31 | 21 | | 32 | 36 | | 33 | 3 | | 34 | 17 | | 35 | 62 | | 36 | 7 | | 37 | 11 | | 38 | 43 | | 39 | 24 | | 40 | 2 | | 41 | 19 | | 42 | 39 | | 43 | 8 | | 44 | 8 | | 45 | 51 | | 46 | 32 | | 47 | 18 | | 48 | 19 | | 49 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 159 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 241 | | matches | (empty) | |
| 50.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 186 | | ratio | 0.032 | | matches | | 0 | "Shapes moved at the edge of sight—too tall, too thin, gone when she turned her head." | | 1 | "New paths appeared—three of them, each leading into a different quality of light." | | 2 | "She caught fragments—promises, warnings, names that slipped away before she could hold them." | | 3 | "Around it wildflowers grew in precise rings—violet, then gold, then white, repeating." | | 4 | "The water showed the amethyst sky again, and this time a figure stood in it—silver hair to the waist, pale lavender eyes, no reflection of Rory at all." | | 5 | "The moss under her boots felt different here—firmer, almost stone." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1407 | | adjectiveStacks | 1 | | stackExamples | | 0 | "ahead, half-incorporeal, testing" |
| | adverbCount | 41 | | adverbRatio | 0.02914001421464108 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0028429282160625444 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 186 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 186 | | mean | 8.32 | | std | 5.7 | | cv | 0.685 | | sampleLengths | | 0 | 10 | | 1 | 18 | | 2 | 9 | | 3 | 22 | | 4 | 4 | | 5 | 7 | | 6 | 15 | | 7 | 7 | | 8 | 3 | | 9 | 14 | | 10 | 20 | | 11 | 16 | | 12 | 6 | | 13 | 5 | | 14 | 9 | | 15 | 8 | | 16 | 12 | | 17 | 3 | | 18 | 9 | | 19 | 5 | | 20 | 19 | | 21 | 12 | | 22 | 11 | | 23 | 5 | | 24 | 16 | | 25 | 6 | | 26 | 11 | | 27 | 3 | | 28 | 10 | | 29 | 5 | | 30 | 5 | | 31 | 10 | | 32 | 4 | | 33 | 5 | | 34 | 22 | | 35 | 9 | | 36 | 2 | | 37 | 4 | | 38 | 15 | | 39 | 7 | | 40 | 13 | | 41 | 11 | | 42 | 19 | | 43 | 6 | | 44 | 1 | | 45 | 6 | | 46 | 7 | | 47 | 7 | | 48 | 5 | | 49 | 4 |
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| 45.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.24193548387096775 | | totalSentences | 186 | | uniqueOpeners | 45 | |
| 89.49% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 149 | | matches | | 0 | "Light turned liquid green." | | 1 | "Then it broke." | | 2 | "Then the surface trembled." | | 3 | "Only the amethyst sky remained," |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 149 | | matches | | 0 | "It felt warm, as if" | | 1 | "She stepped between two of" | | 2 | "She crouched and brushed a" | | 3 | "They gave a single clear" | | 4 | "They followed a path of" | | 5 | "She pulled back." | | 6 | "She pushed through a curtain" | | 7 | "She shook her head once" | | 8 | "She tapped the glass." | | 9 | "They left the mushroom ring" | | 10 | "She reached toward the bark." | | 11 | "She pulled free." | | 12 | "She picked it up." | | 13 | "It was cold, the same" | | 14 | "She walked the circumference of" | | 15 | "Their form sent no ripple." | | 16 | "She saw her own face" | | 17 | "She rocked back on her" | | 18 | "They stood together." | | 19 | "She turned a slow circle." |
| | ratio | 0.235 | |
| 20.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 131 | | totalSentences | 149 | | matches | | 0 | "Aurora Carter stopped at the" | | 1 | "The oak rose twice her" | | 2 | "Lichen clung in patches the" | | 3 | "Nyx unfolded from the shade" | | 4 | "Rory rested her palm against" | | 5 | "It felt warm, as if" | | 6 | "She stepped between two of" | | 7 | "The light changed." | | 8 | "Gold hung in still columns" | | 9 | "The air thickened with the" | | 10 | "Wildflowers covered the ground in" | | 11 | "Nyx's edges frayed into the" | | 12 | "Rory's boots sank into moss" | | 13 | "She crouched and brushed a" | | 14 | "They gave a single clear" | | 15 | "Nyx drifted past her, form" | | 16 | "They followed a path of" | | 17 | "Rory's breath misted even though" | | 18 | "The Heartstone at her throat" | | 19 | "A stream crossed the path," |
| | ratio | 0.879 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 149 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 4 | | matches | | 0 | "The oak rose twice her height, its trunk scored with marks older than the park that surrounded it." | | 1 | "The air thickened with the scent of blossoms that had no right to exist in the last week of November." | | 2 | "A bird with four wings shot between branches, each beat leaving a trail of pale light that faded after a single heartbeat." | | 3 | "She caught fragments—promises, warnings, names that slipped away before she could hold them." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |