| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1309 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 40.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 38.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1309 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "echo" | | 1 | "silence" | | 2 | "flickered" | | 3 | "database" | | 4 | "pulsed" | | 5 | "warmth" | | 6 | "could feel" | | 7 | "racing" | | 8 | "silk" | | 9 | "satin" | | 10 | "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 | 158 | | matches | (empty) | |
| 88.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 158 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 172 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 10 | | markdownWords | 56 | | totalWords | 1309 | | ratio | 0.043 | | matches | | 0 | "Last time, Isolde opened it for me." | | 1 | "The pendant knows the way." | | 2 | "But the Grove has moods, little bird. Come only when the moon wanes." | | 3 | "This marks you. For protection, or for something else. Depends on who’s asking." | | 4 | "A trick of the dark." | | 5 | "Emily Hart." | | 6 | "Marcus Webb." | | 7 | "Lena Ødegård." | | 8 | "Siobhan Murphy, Thomas Chen, Daniel Okonkwo..." | | 9 | "hungers" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1198 | | uniqueNames | 15 | | maxNameDensity | 0.92 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | Isolde | 6 | | Richmond | 1 | | London | 1 | | Missing | 2 | | Persons | 1 | | Eva | 8 | | Grove | 4 | | Rory | 11 | | Carter | 1 | | Cold | 2 | | Tourist | 1 | | Murphy | 1 | | Thomas | 1 | | Chen | 1 | | Daniel | 1 |
| | persons | | 0 | "Isolde" | | 1 | "Missing" | | 2 | "Eva" | | 3 | "Grove" | | 4 | "Rory" | | 5 | "Carter" | | 6 | "Cold" | | 7 | "Tourist" | | 8 | "Murphy" | | 9 | "Thomas" | | 10 | "Chen" | | 11 | "Daniel" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 58.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 3 | | matches | | 0 | "groan that seemed to echo longer than it should" | | 1 | "susurrus that seemed to come from every direction at once" | | 2 | "spirals that seemed to twist when she wasn’t looking directly at them" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.292 | | wordCount | 1309 | | matches | | 0 | "Not warmth now, but heat" | | 1 | "Not white, but green, the deep emerald of sunlight through leaves" | | 2 | "not leaves but ribbons" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 172 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 25.17 | | std | 19.96 | | cv | 0.793 | | sampleLengths | | 0 | 6 | | 1 | 44 | | 2 | 7 | | 3 | 1 | | 4 | 61 | | 5 | 4 | | 6 | 57 | | 7 | 35 | | 8 | 49 | | 9 | 65 | | 10 | 25 | | 11 | 10 | | 12 | 33 | | 13 | 6 | | 14 | 26 | | 15 | 43 | | 16 | 11 | | 17 | 72 | | 18 | 11 | | 19 | 26 | | 20 | 39 | | 21 | 3 | | 22 | 16 | | 23 | 40 | | 24 | 9 | | 25 | 18 | | 26 | 30 | | 27 | 1 | | 28 | 34 | | 29 | 2 | | 30 | 46 | | 31 | 4 | | 32 | 44 | | 33 | 62 | | 34 | 36 | | 35 | 22 | | 36 | 25 | | 37 | 3 | | 38 | 2 | | 39 | 66 | | 40 | 8 | | 41 | 23 | | 42 | 17 | | 43 | 6 | | 44 | 38 | | 45 | 28 | | 46 | 2 | | 47 | 40 | | 48 | 28 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 158 | | matches | | |
| 19.82% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 185 | | matches | | 0 | "was still missing" | | 1 | "wasn’t looking" | | 2 | "were rising" | | 3 | "was pulsing" | | 4 | "was burning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 172 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 356 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 11 | | adverbRatio | 0.03089887640449438 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0028089887640449437 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 172 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 172 | | mean | 7.61 | | std | 6.15 | | cv | 0.809 | | sampleLengths | | 0 | 6 | | 1 | 8 | | 2 | 14 | | 3 | 22 | | 4 | 7 | | 5 | 1 | | 6 | 4 | | 7 | 1 | | 8 | 20 | | 9 | 2 | | 10 | 6 | | 11 | 7 | | 12 | 6 | | 13 | 15 | | 14 | 4 | | 15 | 2 | | 16 | 7 | | 17 | 24 | | 18 | 24 | | 19 | 19 | | 20 | 7 | | 21 | 4 | | 22 | 5 | | 23 | 4 | | 24 | 8 | | 25 | 3 | | 26 | 1 | | 27 | 1 | | 28 | 32 | | 29 | 6 | | 30 | 16 | | 31 | 13 | | 32 | 9 | | 33 | 21 | | 34 | 12 | | 35 | 7 | | 36 | 6 | | 37 | 7 | | 38 | 3 | | 39 | 5 | | 40 | 6 | | 41 | 1 | | 42 | 5 | | 43 | 16 | | 44 | 6 | | 45 | 3 | | 46 | 8 | | 47 | 6 | | 48 | 9 | | 49 | 3 |
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| 59.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.4186046511627907 | | totalSentences | 172 | | uniqueOpeners | 72 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 131 | | matches | | 0 | "Barely a sliver." | | 1 | "Just ferns, still swaying slightly." | | 2 | "Instead, the torch beam simply" | | 3 | "Then near her waist." | | 4 | "Then at her shoulder, as" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 131 | | matches | | 0 | "It swung inward with a" | | 1 | "Her phone’s torch cut a" | | 2 | "Her voice sounded small." | | 3 | "She tucked a strand of" | | 4 | "She slapped it against her" | | 5 | "She spun, torch sweeping the" | | 6 | "She pressed a hand to" | | 7 | "She remembered Isolde’s long fingers" | | 8 | "She believed in leverage." | | 9 | "Her voice cracked on the" | | 10 | "She gripped it hard enough" | | 11 | "she said to the dark" | | 12 | "She could hear her own" | | 13 | "She pitched forward." | | 14 | "Her palms hit stone." | | 15 | "It pulsed from the carvings" | | 16 | "She could see them, stitched" | | 17 | "She wore the same clothes" | | 18 | "Her dreadlocks were loose, falling" | | 19 | "Her voice came from somewhere" |
| | ratio | 0.16 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 131 | | matches | | 0 | "The gate should have been" | | 1 | "Rory pressed her palm against" | | 2 | "It swung inward with a" | | 3 | "Her phone’s torch cut a" | | 4 | "Her voice sounded small." | | 5 | "The trees didn’t so much" | | 6 | "The silence underneath the leaves" | | 7 | "The air tasted green and" | | 8 | "The path was wrong." | | 9 | "She tucked a strand of" | | 10 | "The pendant lay warm against" | | 11 | "The grove didn’t agree." | | 12 | "The torch flickered." | | 13 | "She slapped it against her" | | 14 | "Rory had run out of" | | 15 | "That’s what she told herself" | | 16 | "Eva’s face was still missing" | | 17 | "*The pendant knows the way.*" | | 18 | "The moon overhead was a" | | 19 | "Something rustled to her left." |
| | ratio | 0.672 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 131 | | matches | | 0 | "Now the split oak stood" | | 1 | "*But the Grove has moods," | | 2 | "As if something had simply" |
| | ratio | 0.023 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "Then at her shoulder, as if something were rising from the ground beside her, slow and patient and terribly tall." | | 1 | "The breath that came with it smelled of turned earth and something floral-sweet, like funeral lilies." | | 2 | "Her dreadlocks were loose, falling over shoulders that seemed too still, too rigid." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "She tucked, fingers brushing the silver chain at her throat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0 | | effectiveRatio | 0 | |