| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | 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) | |
| 59.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1120 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulse" | | 1 | "quickened" | | 2 | "silence" | | 3 | "weight" | | 4 | "pulsed" | | 5 | "warmth" | | 6 | "traced" |
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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 | 1 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1120 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 1092 | | uniqueNames | 7 | | maxNameDensity | 0.46 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | October | 1 | | Richmond | 1 | | Park | 1 | | English | 1 | | Welsh-inflected | 1 | | Rory | 5 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 8.49% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 3 | | matches | | 0 | "not-quite tree moved in a pattern that implied wind, and the pattern repeated, and repeated, and did not change" | | 1 | "not quite the place it pretends to be" | | 2 | "something like overripe pears left to fermen" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.893 | | wordCount | 1120 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 37.33 | | std | 19.23 | | cv | 0.515 | | sampleLengths | | 0 | 10 | | 1 | 43 | | 2 | 49 | | 3 | 39 | | 4 | 61 | | 5 | 55 | | 6 | 46 | | 7 | 54 | | 8 | 26 | | 9 | 38 | | 10 | 33 | | 11 | 19 | | 12 | 43 | | 13 | 1 | | 14 | 54 | | 15 | 15 | | 16 | 27 | | 17 | 73 | | 18 | 33 | | 19 | 23 | | 20 | 62 | | 21 | 57 | | 22 | 12 | | 23 | 13 | | 24 | 58 | | 25 | 5 | | 26 | 36 | | 27 | 28 | | 28 | 39 | | 29 | 68 |
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| 94.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 102 | | matches | | 0 | "been told" | | 1 | "been told" | | 2 | "been told" |
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| 88.89% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 180 | | matches | | 0 | "was widening" | | 1 | "was getting" | | 2 | "was matching" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 105 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1098 | | adjectiveStacks | 1 | | stackExamples | | 0 | "own Welsh-inflected vowels," |
| | adverbCount | 38 | | adverbRatio | 0.03460837887067395 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004553734061930784 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 10.67 | | std | 10.38 | | cv | 0.973 | | sampleLengths | | 0 | 10 | | 1 | 5 | | 2 | 1 | | 3 | 27 | | 4 | 6 | | 5 | 4 | | 6 | 12 | | 7 | 25 | | 8 | 12 | | 9 | 4 | | 10 | 20 | | 11 | 15 | | 12 | 2 | | 13 | 1 | | 14 | 29 | | 15 | 2 | | 16 | 3 | | 17 | 24 | | 18 | 17 | | 19 | 13 | | 20 | 25 | | 21 | 8 | | 22 | 28 | | 23 | 10 | | 24 | 2 | | 25 | 19 | | 26 | 8 | | 27 | 25 | | 28 | 3 | | 29 | 2 | | 30 | 21 | | 31 | 2 | | 32 | 36 | | 33 | 1 | | 34 | 2 | | 35 | 3 | | 36 | 27 | | 37 | 3 | | 38 | 1 | | 39 | 1 | | 40 | 14 | | 41 | 4 | | 42 | 5 | | 43 | 5 | | 44 | 29 | | 45 | 1 | | 46 | 2 | | 47 | 10 | | 48 | 27 | | 49 | 4 |
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| 27.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.3047619047619048 | | totalSentences | 105 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 77 | | matches | | 0 | "Then silence, the kind of" | | 1 | "Only the wildflowers, and the" | | 2 | "Then the tapping came again," |
| | ratio | 0.039 | |
| 69.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 77 | | matches | | 0 | "She pulled her jacket tighter" | | 1 | "It had not been cold" | | 2 | "She had to angle her" | | 3 | "It quickened as she stepped" | | 4 | "She had been told, by" | | 5 | "She had not been told" | | 6 | "She did not look back" | | 7 | "She had learned, in the" | | 8 | "She turned her head, slowly," | | 9 | "She took another step." | | 10 | "Her boots made no sound." | | 11 | "Her actual name, spoken in" | | 12 | "She turned toward it and" | | 13 | "She had not moved." | | 14 | "She had taken one step" | | 15 | "She was sure of it." | | 16 | "She turned back." | | 17 | "She raised her hand." | | 18 | "She pressed her thumb against" | | 19 | "she said, to no one," |
| | ratio | 0.377 | |
| 18.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 77 | | matches | | 0 | "The standing stones rose from" | | 1 | "Rory counted them by habit." | | 2 | "The same seven she had" | | 3 | "Tonight the stones had no" | | 4 | "Tonight they had her." | | 5 | "She pulled her jacket tighter" | | 6 | "The Heartstone sat against her" | | 7 | "It had not been cold" | | 8 | "The glow was faint." | | 9 | "She had to angle her" | | 10 | "It quickened as she stepped" | | 11 | "The way her ears felt" | | 12 | "The sensation passed." | | 13 | "The wildflowers were already underfoot," | | 14 | "The grove opened ahead of" | | 15 | "The canopy above was thick" | | 16 | "The light came from nowhere" | | 17 | "Rory had been told to" | | 18 | "She had been told, by" | | 19 | "She had not been told" |
| | ratio | 0.883 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 5 | | matches | | 0 | "Then silence, the kind of silence that had weight to it, that pushed back against the sound of her own breathing." | | 1 | "Only the wildflowers, and the pale light, and the standing stones behind her, and between them a strip of darkness that had not been there before." | | 2 | "She pressed her thumb against it and the warmth spread up her wrist, over the crescent-shaped scar there, a line of heat that traced the old injury like a finge…" | | 3 | "From her left to directly behind her, traveling along the curve of her skull the way a sound can in these conditions, in the dark, in a place that is not quite …" | | 4 | "Something exhaled, very close to her left ear, a long soft breath that smelled of wet earth and something sweeter beneath it, something like overripe pears left…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "the voice said, and the voice was hers" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |