| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1189 | | totalAiIsmAdverbs | 1 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1189 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "silence" | | 1 | "rhythmic" | | 2 | "warmth" | | 3 | "traced" | | 4 | "pulse" | | 5 | "whisper" | | 6 | "shattered" | | 7 | "trembled" | | 8 | "variables" | | 9 | "pulsed" | | 10 | "synchronized" | | 11 | "footsteps" | | 12 | "stomach" | | 13 | "weight" | | 14 | "tracing" | | 15 | "measured" | | 16 | "resolved" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
|
| | highlights | | 0 | "stomach dropped" | | 1 | "clenched her jaw" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 158 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 158 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 158 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1189 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1189 | | uniqueNames | 13 | | maxNameDensity | 0.42 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Silas | 2 | | Golden | 1 | | Empress | 1 | | Heartstone | 2 | | Cardiff | 2 | | London | 3 | | Fae | 1 | | Grove | 1 | | November | 1 | | Evan | 2 | | Rory | 5 |
| | persons | | 0 | "Silas" | | 1 | "Heartstone" | | 2 | "Evan" | | 3 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "London" | | 4 | "Fae" | | 5 | "Grove" | | 6 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 86.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 2 | | matches | | 0 | "as if recoiling from her" | | 1 | "sounded like her own, but stripped of warm" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.841 | | wordCount | 1189 | | matches | | 0 | "Not uncomfortably, but insistently, a brand against her skin" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 158 | | matches | (empty) | |
| 64.69% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 15 | | mean | 79.27 | | std | 29.84 | | cv | 0.376 | | sampleLengths | | 0 | 79 | | 1 | 109 | | 2 | 69 | | 3 | 57 | | 4 | 99 | | 5 | 117 | | 6 | 43 | | 7 | 86 | | 8 | 83 | | 9 | 70 | | 10 | 67 | | 11 | 106 | | 12 | 138 | | 13 | 33 | | 14 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 158 | | matches | | |
| 80.42% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 223 | | matches | | 0 | "was settling" | | 1 | "was trying" | | 2 | "was trying" | | 3 | "was breathing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 158 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1193 | | adjectiveStacks | 1 | | stackExamples | | 0 | "thumbnail-small, pressing against her" |
| | adverbCount | 44 | | adverbRatio | 0.036881810561609385 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006705783738474434 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 158 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 158 | | mean | 7.53 | | std | 5.68 | | cv | 0.755 | | sampleLengths | | 0 | 13 | | 1 | 12 | | 2 | 17 | | 3 | 21 | | 4 | 16 | | 5 | 11 | | 6 | 4 | | 7 | 13 | | 8 | 20 | | 9 | 3 | | 10 | 3 | | 11 | 4 | | 12 | 14 | | 13 | 22 | | 14 | 15 | | 15 | 6 | | 16 | 20 | | 17 | 6 | | 18 | 8 | | 19 | 9 | | 20 | 6 | | 21 | 4 | | 22 | 3 | | 23 | 7 | | 24 | 16 | | 25 | 5 | | 26 | 23 | | 27 | 13 | | 28 | 8 | | 29 | 7 | | 30 | 19 | | 31 | 16 | | 32 | 5 | | 33 | 3 | | 34 | 1 | | 35 | 12 | | 36 | 4 | | 37 | 10 | | 38 | 14 | | 39 | 5 | | 40 | 5 | | 41 | 2 | | 42 | 12 | | 43 | 5 | | 44 | 13 | | 45 | 5 | | 46 | 2 | | 47 | 4 | | 48 | 6 | | 49 | 5 |
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| 44.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.34810126582278483 | | totalSentences | 158 | | uniqueOpeners | 55 | |
| 98.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 136 | | matches | | 0 | "Instead, she stood at the" | | 1 | "Instead, the path ahead swallowed" | | 2 | "Too still until it was" | | 3 | "Instead, she walked toward the" |
| | ratio | 0.029 | |
| 93.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 136 | | matches | | 0 | "She should have been upstairs" | | 1 | "She had traced similar clues" | | 2 | "She touched it, felt the" | | 3 | "Her boots on the gravel" | | 4 | "She paused, listening to the" | | 5 | "It was not empty." | | 6 | "It was held." | | 7 | "She followed the pendant pull" | | 8 | "She pushed through a final" | | 9 | "They were not just trees." | | 10 | "They were markers." | | 11 | "It glowed faintly, a deep" | | 12 | "She took three steps forward." | | 13 | "She had not touched it." | | 14 | "She told herself it was" | | 15 | "She faced the stones again." | | 16 | "It came from her left." | | 17 | "She tracked it with her" | | 18 | "She kept her breathing even." | | 19 | "She checked her watch." |
| | ratio | 0.316 | |
| 51.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 136 | | matches | | 0 | "The scooter engine ticked as" | | 1 | "Rory killed the headlight and" | | 2 | "Midnight air bit through her" | | 3 | "She should have been upstairs" | | 4 | "The Heartstone pendant had not" | | 5 | "Tonight, it felt urgent." | | 6 | "A slow, rhythmic warmth that" | | 7 | "The note slipped under her" | | 8 | "She had traced similar clues" | | 9 | "This time, the gem glowed" | | 10 | "She touched it, felt the" | | 11 | "Richmond Park should have been" | | 12 | "Deer bedded in bracken, tawny" | | 13 | "Her boots on the gravel" | | 14 | "The wind moved through the" | | 15 | "She paused, listening to the" | | 16 | "It was not empty." | | 17 | "It was held." | | 18 | "She followed the pendant pull" | | 19 | "Branches caught at her sleeves." |
| | ratio | 0.816 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 136 | | matches | | 0 | "Before the hour turns." | | 1 | "Now, overthinking was the only" | | 2 | "If she stayed too long," | | 3 | "If she left too soon," |
| | ratio | 0.029 | |
| 61.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 5 | | matches | | 0 | "A slow, rhythmic warmth that matched her own heartbeat, then gradually outpaced it." | | 1 | "Foxgloves stood tall beside bluebells and red campion, all blooming under a moon that seemed too close, too sharp." | | 2 | "It glowed faintly, a deep crimson pulse that matched the rhythm in her throat." | | 3 | "The whispering returned, layered now, overlapping voices speaking in a cadence that made her teeth ache." | | 4 | "The wildflowers around her boots began to wilt, petals browning, stems curling inward as if recoiling from her." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |