| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 71.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 880 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "slightly" | | 3 | "softly" |
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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) | |
| 77.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 880 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "silence" | | 1 | "could feel" | | 2 | "wavered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 52.44% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | 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 | 880 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 865 | | uniqueNames | 6 | | maxNameDensity | 0.81 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 7 | | Park | 1 | | Isolde | 1 | | February | 1 | | Penarth | 1 | | Rory | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Rory" |
| | places | | 0 | "Park" | | 1 | "February" | | 2 | "Penarth" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 880 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 33.85 | | std | 24.34 | | cv | 0.719 | | sampleLengths | | 0 | 46 | | 1 | 18 | | 2 | 11 | | 3 | 80 | | 4 | 65 | | 5 | 65 | | 6 | 29 | | 7 | 4 | | 8 | 45 | | 9 | 16 | | 10 | 8 | | 11 | 76 | | 12 | 15 | | 13 | 40 | | 14 | 57 | | 15 | 10 | | 16 | 27 | | 17 | 4 | | 18 | 60 | | 19 | 8 | | 20 | 70 | | 21 | 4 | | 22 | 31 | | 23 | 11 | | 24 | 37 | | 25 | 43 |
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| 83.06% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 79 | | matches | | 0 | "was supposed" | | 1 | "been promised" | | 2 | "were gone" | | 3 | "been pressed" | | 4 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 134 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 81 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 868 | | adjectiveStacks | 2 | | stackExamples | | 0 | "lay warm against her" | | 1 | "pale star-shaped bloom" |
| | adverbCount | 32 | | adverbRatio | 0.03686635944700461 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01152073732718894 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 10.86 | | std | 8.55 | | cv | 0.787 | | sampleLengths | | 0 | 23 | | 1 | 7 | | 2 | 16 | | 3 | 4 | | 4 | 2 | | 5 | 12 | | 6 | 7 | | 7 | 4 | | 8 | 10 | | 9 | 20 | | 10 | 16 | | 11 | 22 | | 12 | 12 | | 13 | 18 | | 14 | 4 | | 15 | 27 | | 16 | 9 | | 17 | 7 | | 18 | 12 | | 19 | 27 | | 20 | 13 | | 21 | 13 | | 22 | 13 | | 23 | 2 | | 24 | 5 | | 25 | 9 | | 26 | 4 | | 27 | 8 | | 28 | 20 | | 29 | 3 | | 30 | 3 | | 31 | 6 | | 32 | 5 | | 33 | 16 | | 34 | 8 | | 35 | 8 | | 36 | 22 | | 37 | 20 | | 38 | 9 | | 39 | 17 | | 40 | 5 | | 41 | 2 | | 42 | 8 | | 43 | 14 | | 44 | 9 | | 45 | 12 | | 46 | 2 | | 47 | 3 | | 48 | 4 | | 49 | 4 |
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| 59.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4074074074074074 | | totalSentences | 81 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 71 | | matches | | 0 | "Then the ticking of the" | | 1 | "Then the birds stopped." | | 2 | "Somewhere behind her a tawny" | | 3 | "Only a shiver in the" | | 4 | "Too close, as though someone" |
| | ratio | 0.07 | |
| 67.89% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 71 | | matches | | 0 | "She checked her watch." | | 1 | "she said to the empty" | | 2 | "She'd noticed it on the" | | 3 | "She pulled it free of" | | 4 | "She closed her fist around" | | 5 | "She stood up slowly and" | | 6 | "It was a gap between" | | 7 | "She stopped at the boundary" | | 8 | "She hadn't noticed them until" | | 9 | "Her own breath." | | 10 | "Her heartbeat in her ears." | | 11 | "she said, and the word" | | 12 | "She stepped through the gap" | | 13 | "She checked her watch again." | | 14 | "She counted her breaths." | | 15 | "Her gran had taught her" | | 16 | "She clenched it now." | | 17 | "she told herself" | | 18 | "Her voice sounded wrong." | | 19 | "She opened her hand." |
| | ratio | 0.38 | |
| 44.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 71 | | matches | | 0 | "The lane ended in a" | | 1 | "She checked her watch." | | 2 | "The app on her phone" | | 3 | "she said to the empty" | | 4 | "The pendant lay warm against" | | 5 | "She'd noticed it on the" | | 6 | "She pulled it free of" | | 7 | "The crimson stone glowed faintly" | | 8 | "She closed her fist around" | | 9 | "Richmond Park at night was" | | 10 | "Tonight there was neither." | | 11 | "The grass beside the path" | | 12 | "Bluebells, and something lower and" | | 13 | "She stood up slowly and" | | 14 | "The gate Isolde's letter had" | | 15 | "It was a gap between" | | 16 | "Someone had left a jam" | | 17 | "The petals had gone brown" | | 18 | "She stopped at the boundary" | | 19 | "A hum in the teeth." |
| | ratio | 0.831 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "Too close, as though someone standing beside her had repeated the words a half-second late, in the same tone, and then fallen silent." | | 1 | "Hot enough that she could feel the edges of the stone press into her palm through her fingers, and the glow had brightened, pulsing in a slow rhythm that matche…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, and the word fell flat, as if the air had been pressed thin" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |