| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1061 | | 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) | |
| 48.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1061 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "loomed" | | 1 | "pulsed" | | 2 | "whisper" | | 3 | "flickered" | | 4 | "stomach" | | 5 | "echoed" | | 6 | "echoing" | | 7 | "warmth" | | 8 | "comforting" | | 9 | "silence" |
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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 | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1060 | | ratio | 0 | | matches | (empty) | |
| 97.22% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 1 | | matches | | 0 | "Just a bird, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 947 | | uniqueNames | 8 | | maxNameDensity | 0.95 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | November | 1 | | Roses | 1 | | Aurora | 2 | | Rory | 9 | | Isolde | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like her own, but filtered through" | | 1 | "not quite burning but threatening to" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.943 | | wordCount | 1060 | | matches | | 0 | "not quite burning but threatening to" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 22.08 | | std | 18.59 | | cv | 0.842 | | sampleLengths | | 0 | 32 | | 1 | 1 | | 2 | 55 | | 3 | 4 | | 4 | 29 | | 5 | 20 | | 6 | 48 | | 7 | 19 | | 8 | 4 | | 9 | 46 | | 10 | 7 | | 11 | 51 | | 12 | 17 | | 13 | 13 | | 14 | 3 | | 15 | 52 | | 16 | 16 | | 17 | 2 | | 18 | 75 | | 19 | 9 | | 20 | 13 | | 21 | 1 | | 22 | 44 | | 23 | 40 | | 24 | 29 | | 25 | 1 | | 26 | 1 | | 27 | 8 | | 28 | 39 | | 29 | 3 | | 30 | 16 | | 31 | 22 | | 32 | 23 | | 33 | 30 | | 34 | 30 | | 35 | 37 | | 36 | 7 | | 37 | 50 | | 38 | 31 | | 39 | 3 | | 40 | 13 | | 41 | 3 | | 42 | 44 | | 43 | 4 | | 44 | 1 | | 45 | 37 | | 46 | 22 | | 47 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 83.04% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 171 | | matches | | 0 | "was brushing" | | 1 | "wasn't trying" | | 2 | "was trying" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 117 | | ratio | 0 | | matches | (empty) | |
| 98.04% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 947 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.042238648363252376 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008447729672650475 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 9.06 | | std | 7.26 | | cv | 0.801 | | sampleLengths | | 0 | 18 | | 1 | 11 | | 2 | 1 | | 3 | 2 | | 4 | 1 | | 5 | 11 | | 6 | 15 | | 7 | 22 | | 8 | 7 | | 9 | 4 | | 10 | 19 | | 11 | 3 | | 12 | 7 | | 13 | 2 | | 14 | 18 | | 15 | 4 | | 16 | 5 | | 17 | 4 | | 18 | 16 | | 19 | 19 | | 20 | 4 | | 21 | 6 | | 22 | 7 | | 23 | 2 | | 24 | 4 | | 25 | 13 | | 26 | 5 | | 27 | 8 | | 28 | 10 | | 29 | 2 | | 30 | 8 | | 31 | 7 | | 32 | 2 | | 33 | 17 | | 34 | 3 | | 35 | 1 | | 36 | 13 | | 37 | 15 | | 38 | 5 | | 39 | 12 | | 40 | 3 | | 41 | 10 | | 42 | 3 | | 43 | 2 | | 44 | 6 | | 45 | 8 | | 46 | 3 | | 47 | 15 | | 48 | 2 | | 49 | 16 |
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| 60.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.41025641025641024 | | totalSentences | 117 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 85 | | matches | | 0 | "Just the whisper of petals" | | 1 | "All looked identical to how" | | 2 | "Just a bird, she told" | | 3 | "Too many wings." | | 4 | "More like a warning." | | 5 | "Then, from everywhere and nowhere:" |
| | ratio | 0.071 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 85 | | matches | | 0 | "She pulled her hand back" | | 1 | "Her voice came out smaller" | | 2 | "She'd arrived at midnight, spent" | | 3 | "She pocketed the useless phone" | | 4 | "She took a step backward." | | 5 | "Her heel crunched on something" | | 6 | "She looked down." | | 7 | "Its chest still moved, breath" | | 8 | "It watched her with three" | | 9 | "She burst through a wall" | | 10 | "Her voice bounced between the" | | 11 | "She yanked it from beneath" | | 12 | "Her hand closed around the" | | 13 | "She knew it smiled, even" | | 14 | "It was trying to flee" | | 15 | "She walked into the darkness." |
| | ratio | 0.188 | |
| 42.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 85 | | matches | | 0 | "The standing stones loomed darker" | | 1 | "Rory pressed her palm against" | | 2 | "She pulled her hand back" | | 3 | "The Heartstone pendant pulsed against" | | 4 | "Isolde had said to come" | | 5 | "Isolde had also said she'd" | | 6 | "The clearing stood empty." | | 7 | "Her voice came out smaller" | | 8 | "Roses, she realised." | | 9 | "The grove smelled of roses" | | 10 | "Rory checked her phone." | | 11 | "The timestamp read 3:47 AM." | | 12 | "That couldn't be right." | | 13 | "She'd arrived at midnight, spent" | | 14 | "The screen flickered, showed 12:03" | | 15 | "Isolde's words, from their first" | | 16 | "An hour inside can be" | | 17 | "She pocketed the useless phone" | | 18 | "The path she'd entered through." | | 19 | "A gap between two oaks" |
| | ratio | 0.835 | |
| 58.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 85 | | matches | | 0 | "Now the trees pressed close" |
| | ratio | 0.012 | |
| 65.64% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 4 | | matches | | 0 | "Isolde had said to come at midnight, that the grove would reveal something important about the benefactor who'd given her the artifact." | | 1 | "Now the trees pressed close as a crowd, their bark rough and ridged and warm, warm, everything was warm in a way that made her stomach turn." | | 2 | "Her voice bounced between the stones, repeating and changing, becoming something that sounded almost like her name but wasn't." | | 3 | "Rory's own heart matched its rhythm, and for a moment she felt something she couldn't name, a presence that wasn't the thing in the shadows, something older and…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "The shape drifted, and the roses wilted in its wake" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0 | | effectiveRatio | 0 | |