| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1532 | | 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) | |
| 28.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1532 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "throb" | | 1 | "silence" | | 2 | "weight" | | 3 | "pulsed" | | 4 | "beacon" | | 5 | "echoed" | | 6 | "footsteps" | | 7 | "whisper" | | 8 | "vibrated" | | 9 | "pulse" | | 10 | "trembled" | | 11 | "traced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 304 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 7 | | hedgeCount | 0 | | narrationSentences | 304 | | filterMatches | | 0 | "see" | | 1 | "think" | | 2 | "know" | | 3 | "look" |
| | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 304 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 17 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1532 | | 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 | 12 | | wordCount | 1524 | | uniqueNames | 4 | | maxNameDensity | 0.59 | | worstName | "You" | | maxWindowNameDensity | 2 | | worstWindowName | "You" | | discoveredNames | | | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | 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 | 1532 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 304 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 42.56 | | std | 22.15 | | cv | 0.521 | | sampleLengths | | 0 | 83 | | 1 | 30 | | 2 | 17 | | 3 | 54 | | 4 | 9 | | 5 | 20 | | 6 | 57 | | 7 | 14 | | 8 | 22 | | 9 | 11 | | 10 | 52 | | 11 | 47 | | 12 | 19 | | 13 | 35 | | 14 | 76 | | 15 | 21 | | 16 | 42 | | 17 | 60 | | 18 | 35 | | 19 | 50 | | 20 | 54 | | 21 | 24 | | 22 | 69 | | 23 | 59 | | 24 | 16 | | 25 | 54 | | 26 | 68 | | 27 | 23 | | 28 | 50 | | 29 | 74 | | 30 | 14 | | 31 | 62 | | 32 | 44 | | 33 | 20 | | 34 | 86 | | 35 | 61 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 304 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 290 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 304 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 679 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.017673048600883652 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0014727540500736377 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 304 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 304 | | mean | 5.04 | | std | 2.72 | | cv | 0.539 | | sampleLengths | | 0 | 10 | | 1 | 17 | | 2 | 4 | | 3 | 10 | | 4 | 8 | | 5 | 7 | | 6 | 1 | | 7 | 1 | | 8 | 1 | | 9 | 7 | | 10 | 14 | | 11 | 1 | | 12 | 2 | | 13 | 11 | | 14 | 8 | | 15 | 11 | | 16 | 4 | | 17 | 8 | | 18 | 5 | | 19 | 5 | | 20 | 3 | | 21 | 11 | | 22 | 3 | | 23 | 13 | | 24 | 5 | | 25 | 3 | | 26 | 7 | | 27 | 4 | | 28 | 3 | | 29 | 6 | | 30 | 2 | | 31 | 5 | | 32 | 7 | | 33 | 6 | | 34 | 3 | | 35 | 11 | | 36 | 5 | | 37 | 3 | | 38 | 4 | | 39 | 3 | | 40 | 3 | | 41 | 12 | | 42 | 4 | | 43 | 3 | | 44 | 6 | | 45 | 5 | | 46 | 1 | | 47 | 1 | | 48 | 7 | | 49 | 4 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 86 | | diversityRatio | 0.23355263157894737 | | totalSentences | 304 | | uniqueOpeners | 71 | |
| 63.13% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 264 | | matches | | 0 | "Then directly behind her." | | 1 | "Then it overtook it." | | 2 | "Just beyond the blooms." | | 3 | "Then from the left." | | 4 | "Then from the right." |
| | ratio | 0.019 | |
| 71.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 98 | | totalSentences | 264 | | matches | | 0 | "They arched like bent vertebrae" | | 1 | "She pressed two fingers to" | | 2 | "It held a temperature that" | | 3 | "I followed the pull." | | 4 | "I followed it straight to" | | 5 | "She stepped between the oaks." | | 6 | "Her boots sank into loam" | | 7 | "Her breath plumed white and" | | 8 | "She moved deeper." | | 9 | "Her wristwatch ticked." | | 10 | "It jumped backward." | | 11 | "It lunged forward." | | 12 | "She unclasped the strap and" | | 13 | "She turned her head." | | 14 | "You want me to run." | | 15 | "You picked the wrong delivery" | | 16 | "She kept walking." | | 17 | "It slid along the ground." | | 18 | "It kept pace with her" | | 19 | "She took a step back." |
| | ratio | 0.371 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 240 | | totalSentences | 264 | | matches | | 0 | "The iron gates of Richmond" | | 1 | "Rory slipped through the gap" | | 2 | "The city hum faded." | | 3 | "Moonlight caught the ridge of" | | 4 | "They arched like bent vertebrae" | | 5 | "Wildflowers carpeted the ground beyond" | | 6 | "She pressed two fingers to" | | 7 | "The deep crimson gem rested" | | 8 | "It held a temperature that" | | 9 | "I followed the pull." | | 10 | "I followed it straight to" | | 11 | "She stepped between the oaks." | | 12 | "The air thickened." | | 13 | "Her boots sank into loam" | | 14 | "The temperature dropped." | | 15 | "Her breath plumed white and" | | 16 | "The wildflowers turned their heads." | | 17 | "The stems pivoted on their" | | 18 | "Petals faced her boots." | | 19 | "The pendant warmed." |
| | ratio | 0.909 | |
| 18.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 264 | | matches | | | ratio | 0.004 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "All of them breathing out a scent that sat too heavy on the tongue." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |