| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1160 | | 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) | |
| 61.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1160 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulse" | | 1 | "throb" | | 2 | "flickered" | | 3 | "pulsed" | | 4 | "traced" | | 5 | "silence" |
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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 | 132 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 132 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1160 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 1117 | | uniqueNames | 5 | | maxNameDensity | 0.98 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Fae | 1 | | Grove | 1 | | Eva | 2 | | Aurora | 11 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Fae" | | 2 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 1 | | matches | | |
| 27.59% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.724 | | wordCount | 1160 | | matches | | 0 | "no shape but" | | 1 | "not as a group but one at a time, each bloom settling closer to the stem of the" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 21.89 | | std | 26.55 | | cv | 1.213 | | sampleLengths | | 0 | 76 | | 1 | 99 | | 2 | 6 | | 3 | 66 | | 4 | 5 | | 5 | 1 | | 6 | 7 | | 7 | 68 | | 8 | 4 | | 9 | 35 | | 10 | 1 | | 11 | 6 | | 12 | 4 | | 13 | 65 | | 14 | 3 | | 15 | 36 | | 16 | 2 | | 17 | 10 | | 18 | 64 | | 19 | 3 | | 20 | 57 | | 21 | 47 | | 22 | 1 | | 23 | 7 | | 24 | 2 | | 25 | 25 | | 26 | 27 | | 27 | 38 | | 28 | 1 | | 29 | 1 | | 30 | 4 | | 31 | 7 | | 32 | 5 | | 33 | 5 | | 34 | 6 | | 35 | 3 | | 36 | 5 | | 37 | 12 | | 38 | 2 | | 39 | 48 | | 40 | 4 | | 41 | 62 | | 42 | 6 | | 43 | 41 | | 44 | 2 | | 45 | 77 | | 46 | 11 | | 47 | 65 | | 48 | 3 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 164 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 147 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 765 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.0196078431372549 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 7.89 | | std | 5.85 | | cv | 0.741 | | sampleLengths | | 0 | 11 | | 1 | 8 | | 2 | 32 | | 3 | 6 | | 4 | 5 | | 5 | 14 | | 6 | 8 | | 7 | 16 | | 8 | 15 | | 9 | 17 | | 10 | 20 | | 11 | 23 | | 12 | 6 | | 13 | 20 | | 14 | 5 | | 15 | 5 | | 16 | 17 | | 17 | 19 | | 18 | 5 | | 19 | 1 | | 20 | 7 | | 21 | 9 | | 22 | 5 | | 23 | 20 | | 24 | 9 | | 25 | 11 | | 26 | 14 | | 27 | 3 | | 28 | 1 | | 29 | 2 | | 30 | 7 | | 31 | 6 | | 32 | 5 | | 33 | 8 | | 34 | 7 | | 35 | 1 | | 36 | 6 | | 37 | 4 | | 38 | 10 | | 39 | 13 | | 40 | 12 | | 41 | 19 | | 42 | 4 | | 43 | 7 | | 44 | 3 | | 45 | 3 | | 46 | 10 | | 47 | 10 | | 48 | 13 | | 49 | 2 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 44 | | diversityRatio | 0.17123287671232876 | | totalSentences | 146 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 128 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 128 | | matches | | 0 | "Her phone screen lit her" | | 1 | "She had followed the pendant" | | 2 | "It had begun in the" | | 3 | "She walked along the line" | | 4 | "It held a run of" | | 5 | "Her left wrist itched where" | | 6 | "Her phone changed." | | 7 | "She put it in her" | | 8 | "Its roots lifted from the" | | 9 | "She looked at the boundary" | | 10 | "She could see the rail," | | 11 | "She moved toward the gap." | | 12 | "She lifted her hand." | | 13 | "She turned her face to" | | 14 | "Her phone buzzed." | | 15 | "She let it ring a" | | 16 | "It coiled around the old" | | 17 | "They made a mouth." | | 18 | "It did not glow." | | 19 | "It caught the moonlight and" |
| | ratio | 0.203 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 123 | | totalSentences | 128 | | matches | | 0 | "Aurora stepped through the gap" | | 1 | "The gap had not existed" | | 2 | "The two oaks that leaned" | | 3 | "Her phone screen lit her" | | 4 | "The battery read twenty-two percent." | | 5 | "The pendant rested against her" | | 6 | "She had followed the pendant" | | 7 | "It had begun in the" | | 8 | "The customer had pressed a" | | 9 | "The paper held a single" | | 10 | "The pendant had gone cold" | | 11 | "The Fae Grove opened before" | | 12 | "Wildflowers ringed the hollow in" | | 13 | "The blooms faced the centre." | | 14 | "The oaks around the boundary" | | 15 | "The stones rose in a" | | 16 | "Aurora pulled her coat tighter." | | 17 | "The word reached the flowers" | | 18 | "She walked along the line" | | 19 | "The line held no path." |
| | ratio | 0.961 | |
| 39.06% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 128 | | matches | | 0 | "By the time she reached" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 2 | | matches | | 0 | "The two oaks that leaned against the northern stone had grown a new seam between their trunks, and the seam opened onto a hollow that smelled of wet chalk and c…" | | 1 | "The dark soil looked pressed flat, as if something had stood there and left no shape but an absence." |
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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 | |