| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said aloud [aloud]" |
| | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |
| 76.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1054 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "carefully" | | 1 | "slightly" | | 2 | "very" | | 3 | "really" |
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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) | |
| 81.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1054 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "weight" |
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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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1064 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 1 | | matches | | 0 | "In the dark, it refused to behave like the same place." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 1037 | | uniqueNames | 5 | | maxNameDensity | 0.77 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Rory | 8 | | Heartstone | 1 | | October | 1 | | Evan | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite but ticking with a slow heat, like a radiator cooling in an empty room" | | 1 | "quite make her eyes settle on it" |
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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 | 1064 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 34.32 | | std | 26.11 | | cv | 0.761 | | sampleLengths | | 0 | 52 | | 1 | 82 | | 2 | 57 | | 3 | 6 | | 4 | 28 | | 5 | 66 | | 6 | 1 | | 7 | 51 | | 8 | 52 | | 9 | 5 | | 10 | 45 | | 11 | 28 | | 12 | 37 | | 13 | 7 | | 14 | 4 | | 15 | 73 | | 16 | 10 | | 17 | 52 | | 18 | 3 | | 19 | 67 | | 20 | 9 | | 21 | 49 | | 22 | 11 | | 23 | 9 | | 24 | 76 | | 25 | 4 | | 26 | 3 | | 27 | 58 | | 28 | 42 | | 29 | 61 | | 30 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 182 | | matches | | 0 | "was announcing" | | 1 | "was imagining" | | 2 | "was climbing" | | 3 | "was humming" | | 4 | "was not coming" | | 5 | "was turning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 107 | | ratio | 0.056 | | matches | | 0 | "Not pulsing — not quite — but ticking with a slow heat, like a radiator cooling in an empty room." | | 1 | "She stepped between two of the stones — trunks, stones, whatever they were — and the air changed." | | 2 | "Not grey, not frost — silver, as if someone had painted each blade." | | 3 | "The warmth from the pendant was climbing her throat now, and the wildflowers at her feet had tilted, very slightly, all in the same direction — towards her, or towards something just past her shoulder." | | 4 | "She had learned, somewhere along the way — from Evan, maybe, from the years before she'd left him — that sometimes the worst thing you could do was flinch first." | | 5 | "She kept it at the edge of her vision, where it seemed to prefer to be, and she walked — not ran, walked — towards the place where the path had been." |
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| 92.40% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1028 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 43 | | adverbRatio | 0.04182879377431906 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008754863813229572 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 9.94 | | std | 8.87 | | cv | 0.892 | | sampleLengths | | 0 | 34 | | 1 | 7 | | 2 | 11 | | 3 | 7 | | 4 | 20 | | 5 | 8 | | 6 | 7 | | 7 | 4 | | 8 | 36 | | 9 | 13 | | 10 | 28 | | 11 | 5 | | 12 | 1 | | 13 | 1 | | 14 | 9 | | 15 | 3 | | 16 | 3 | | 17 | 2 | | 18 | 3 | | 19 | 5 | | 20 | 18 | | 21 | 4 | | 22 | 3 | | 23 | 1 | | 24 | 23 | | 25 | 15 | | 26 | 20 | | 27 | 1 | | 28 | 2 | | 29 | 11 | | 30 | 13 | | 31 | 25 | | 32 | 7 | | 33 | 13 | | 34 | 5 | | 35 | 6 | | 36 | 18 | | 37 | 2 | | 38 | 1 | | 39 | 5 | | 40 | 2 | | 41 | 1 | | 42 | 6 | | 43 | 22 | | 44 | 5 | | 45 | 9 | | 46 | 7 | | 47 | 12 | | 48 | 9 | | 49 | 2 |
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| 52.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3925233644859813 | | totalSentences | 107 | | uniqueOpeners | 42 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Almost her name, and then" |
| | ratio | 0.012 | |
| 66.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 81 | | matches | | 0 | "She'd walked this route in" | | 1 | "She found the oaks where" | | 2 | "She stepped between two of" | | 3 | "It stopped when she held" | | 4 | "She crossed to the centre." | | 5 | "She pressed her palm flat" | | 6 | "She could still see it." | | 7 | "She couldn't quite make her" | | 8 | "she told the grove" | | 9 | "Her voice came out flat" | | 10 | "She kept her head still" | | 11 | "she said aloud" | | 12 | "She didn't like that." | | 13 | "She liked the birdsong when" | | 14 | "She couldn't tell which and" | | 15 | "She did not turn around." | | 16 | "She had learned, somewhere along" | | 17 | "She stood with her chin" | | 18 | "She walked towards it with" | | 19 | "It was a shoe." |
| | ratio | 0.383 | |
| 52.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 81 | | matches | | 0 | "The tube had spat her" | | 1 | "She'd walked this route in" | | 2 | "The pendant lay warm against" | | 3 | "That was what had brought" | | 4 | "Silas had told her to" | | 5 | "Eva had rung twice." | | 6 | "Rory had thumbed the phone" | | 7 | "She found the oaks where" | | 8 | "Wildflowers nodded at their roots." | | 9 | "Things that had no business" | | 10 | "That was fine." | | 11 | "That was what she'd expected." | | 12 | "She stepped between two of" | | 13 | "The cold went first." | | 14 | "The traffic noise from the" | | 15 | "Rory stopped with one foot" | | 16 | "A thrush, she thought, though" | | 17 | "It stopped when she held" | | 18 | "The grass in the clearing" | | 19 | "She crossed to the centre." |
| | ratio | 0.815 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | 0 | "To her left this time." |
| | ratio | 0.012 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 4 | | matches | | 0 | "Seven of them, their trunks older than anything in this park had a right to be, arranged in a ragged circle that tried to look accidental and failed." | | 1 | "Replaced by a still, close warmth that smelled of turned earth and something sweeter underneath, like fruit left too long in a bowl." | | 2 | "She pressed her palm flat over it and felt, under the heat, a rhythm that wasn't her pulse." | | 3 | "She backed away from it and her heel came down on something that gave under her weight with a tiny wet sound." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |