| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1940 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 66.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1940 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "footsteps" | | 1 | "warmth" | | 2 | "resolved" | | 3 | "familiar" | | 4 | "weight" | | 5 | "whisper" | | 6 | "pulse" | | 7 | "echo" | | 8 | "trembled" | | 9 | "vibrated" | | 10 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 224 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 224 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 235 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1940 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1896 | | uniqueNames | 7 | | maxNameDensity | 1.05 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Park | 2 | | Golden | 3 | | Empress | 3 | | Richmond | 3 | | London | 1 | | Heartstone | 4 | | Aurora | 20 |
| | persons | | | places | | 0 | "Park" | | 1 | "Golden" | | 2 | "Richmond" | | 3 | "London" |
| | globalScore | 0.973 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 143 | | 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 | 1940 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 235 | | matches | | 0 | "capture that much" | | 1 | "heard that morning" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 92 | | mean | 21.09 | | std | 16.56 | | cv | 0.785 | | sampleLengths | | 0 | 49 | | 1 | 4 | | 2 | 9 | | 3 | 35 | | 4 | 6 | | 5 | 50 | | 6 | 49 | | 7 | 42 | | 8 | 3 | | 9 | 6 | | 10 | 48 | | 11 | 6 | | 12 | 3 | | 13 | 36 | | 14 | 7 | | 15 | 24 | | 16 | 33 | | 17 | 13 | | 18 | 24 | | 19 | 7 | | 20 | 31 | | 21 | 2 | | 22 | 34 | | 23 | 36 | | 24 | 1 | | 25 | 4 | | 26 | 51 | | 27 | 5 | | 28 | 6 | | 29 | 66 | | 30 | 26 | | 31 | 9 | | 32 | 51 | | 33 | 1 | | 34 | 31 | | 35 | 33 | | 36 | 26 | | 37 | 14 | | 38 | 7 | | 39 | 48 | | 40 | 33 | | 41 | 15 | | 42 | 27 | | 43 | 25 | | 44 | 8 | | 45 | 20 | | 46 | 6 | | 47 | 48 | | 48 | 8 | | 49 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 224 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 295 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 235 | | ratio | 0.004 | | matches | | 0 | "Its roots had formed a ridge she had stepped over on her way in; she could still picture the damp leaves caught between them." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1900 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.022631578947368423 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0015789473684210526 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 235 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 235 | | mean | 8.26 | | std | 5.51 | | cv | 0.667 | | sampleLengths | | 0 | 18 | | 1 | 11 | | 2 | 20 | | 3 | 4 | | 4 | 9 | | 5 | 12 | | 6 | 6 | | 7 | 3 | | 8 | 4 | | 9 | 10 | | 10 | 6 | | 11 | 16 | | 12 | 11 | | 13 | 1 | | 14 | 1 | | 15 | 9 | | 16 | 2 | | 17 | 10 | | 18 | 35 | | 19 | 14 | | 20 | 9 | | 21 | 9 | | 22 | 11 | | 23 | 13 | | 24 | 3 | | 25 | 6 | | 26 | 4 | | 27 | 5 | | 28 | 19 | | 29 | 4 | | 30 | 16 | | 31 | 6 | | 32 | 3 | | 33 | 12 | | 34 | 14 | | 35 | 4 | | 36 | 6 | | 37 | 7 | | 38 | 5 | | 39 | 14 | | 40 | 5 | | 41 | 2 | | 42 | 8 | | 43 | 7 | | 44 | 14 | | 45 | 2 | | 46 | 13 | | 47 | 2 | | 48 | 14 | | 49 | 2 |
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| 47.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.2918454935622318 | | totalSentences | 233 | | uniqueOpeners | 68 | |
| 82.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 202 | | matches | | 0 | "Somewhere in the grove, water" | | 1 | "Then one more, each striking" | | 2 | "Then came a whisper of" | | 3 | "Instead she remained at the" | | 4 | "Then her own voice spoke" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 60 | | totalSentences | 202 | | matches | | 0 | "Her phone read 11:47." | | 1 | "It had read 11:47 at" | | 2 | "She took the torch from" | | 3 | "she told the dark" | | 4 | "Its silver chain touched the" | | 5 | "She pulled the pendant out" | | 6 | "She tilted the torch." | | 7 | "Her torchlight picked out a" | | 8 | "She went towards it, passing" | | 9 | "Their heads turned under the" | | 10 | "She stopped and brought the" | | 11 | "She parted a cluster with" | | 12 | "Her own boots had made" | | 13 | "She took one step, pressing" | | 14 | "They travelled around the clearing" | | 15 | "She walked to the nearest" | | 16 | "She had followed the note" | | 17 | "She could still leave." | | 18 | "She turned towards the opening." | | 19 | "She could see the same" |
| | ratio | 0.297 | |
| 66.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 159 | | totalSentences | 202 | | matches | | 0 | "Aurora reached the oak stones" | | 1 | "Richmond Park lay behind her," | | 2 | "Her phone read 11:47." | | 3 | "It had read 11:47 at" | | 4 | "She took the torch from" | | 5 | "The beam swept across the" | | 6 | "A fallen branch." | | 7 | "A bank of foxgloves." | | 8 | "The path to the centre," | | 9 | "she told the dark" | | 10 | "The note had arrived at" | | 11 | "The handwriting had left deep" | | 12 | "Aurora had spent an hour" | | 13 | "Its silver chain touched the" | | 14 | "She pulled the pendant out" | | 15 | "A dull glow sat inside" | | 16 | "She tilted the torch." | | 17 | "The rain had stopped before" | | 18 | "Aurora stepped between two standing" | | 19 | "The sound stopped." |
| | ratio | 0.787 | |
| 24.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 202 | | matches | | 0 | "Now the deep crimson stone" |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 73 | | technicalSentenceCount | 2 | | matches | | 0 | "She went towards it, passing flowers that stood in full bloom despite the cold." | | 1 | "There was no point waiting for someone who preferred hiding to talking." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0 | | effectiveRatio | 0 | |