| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 986 | | totalAiIsmAdverbs | 2 | | 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) | |
| 39.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 986 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "weight" | | 3 | "footfall" | | 4 | "pulsed" | | 5 | "footsteps" | | 6 | "pulse" | | 7 | "echoed" |
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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 | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 8 | | totalWords | 986 | | ratio | 0.008 | | matches | | 0 | "the grove, when the gate forgets the hour" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 937 | | uniqueNames | 10 | | maxNameDensity | 0.64 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 6 | | Richmond | 1 | | Isabella | 1 | | Plantation | 1 | | Eva | 1 | | Cardiff | 2 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | Beat | 4 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Isabella" | | 2 | "Plantation" | | 3 | "Cardiff" | | 4 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | 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 | 986 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 34 | | std | 27.33 | | cv | 0.804 | | sampleLengths | | 0 | 15 | | 1 | 76 | | 2 | 22 | | 3 | 56 | | 4 | 5 | | 5 | 85 | | 6 | 7 | | 7 | 53 | | 8 | 27 | | 9 | 13 | | 10 | 92 | | 11 | 8 | | 12 | 10 | | 13 | 13 | | 14 | 77 | | 15 | 24 | | 16 | 5 | | 17 | 69 | | 18 | 10 | | 19 | 40 | | 20 | 19 | | 21 | 3 | | 22 | 7 | | 23 | 50 | | 24 | 58 | | 25 | 5 | | 26 | 57 | | 27 | 43 | | 28 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 88 | | ratio | 0 | | matches | (empty) | |
| 83.53% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 102 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.058823529411764705 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 11.2 | | std | 11.04 | | cv | 0.985 | | sampleLengths | | 0 | 15 | | 1 | 2 | | 2 | 21 | | 3 | 7 | | 4 | 3 | | 5 | 23 | | 6 | 20 | | 7 | 4 | | 8 | 3 | | 9 | 15 | | 10 | 5 | | 11 | 26 | | 12 | 25 | | 13 | 5 | | 14 | 8 | | 15 | 2 | | 16 | 1 | | 17 | 36 | | 18 | 2 | | 19 | 14 | | 20 | 14 | | 21 | 1 | | 22 | 7 | | 23 | 7 | | 24 | 26 | | 25 | 7 | | 26 | 1 | | 27 | 1 | | 28 | 18 | | 29 | 16 | | 30 | 11 | | 31 | 2 | | 32 | 4 | | 33 | 7 | | 34 | 25 | | 35 | 18 | | 36 | 17 | | 37 | 25 | | 38 | 5 | | 39 | 1 | | 40 | 1 | | 41 | 8 | | 42 | 5 | | 43 | 3 | | 44 | 2 | | 45 | 13 | | 46 | 4 | | 47 | 32 | | 48 | 2 | | 49 | 8 |
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| 71.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4772727272727273 | | totalSentences | 88 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 90.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 65 | | matches | | 0 | "Her hand went to it" | | 1 | "She shouldn't have come." | | 2 | "She knew that." | | 3 | "She crossed the boundary anyway." | | 4 | "She faced the clearing again" | | 5 | "She counted them without meaning" | | 6 | "she said, because Eva always" | | 7 | "She hadn't expected one." | | 8 | "She told herself she hadn't" | | 9 | "She found the tree at" | | 10 | "It had its own rhythm." | | 11 | "She snapped her head round." | | 12 | "It hadn't been there." | | 13 | "She stood very still and" | | 14 | "she said, quieter now" | | 15 | "It had acquired texture." | | 16 | "She backed away from the" | | 17 | "she said to the clearing," | | 18 | "She didn't turn." | | 19 | "It spoke from behind her," |
| | ratio | 0.323 | |
| 44.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 65 | | matches | | 0 | "The pendant had gone hot" | | 1 | "Her hand went to it" | | 2 | "That was the instruction, more" | | 3 | "The note had said nothing" | | 4 | "She shouldn't have come." | | 5 | "She knew that." | | 6 | "The knowing sat in her" | | 7 | "The clearing ahead held wildflowers." | | 8 | "That was wrong in itself," | | 9 | "She crossed the boundary anyway." | | 10 | "The sound of the park" | | 11 | "The standing stones stood behind" | | 12 | "She faced the clearing again" | | 13 | "The grass gave under her" | | 14 | "The pendant's warmth grew in" | | 15 | "She counted them without meaning" | | 16 | "she said, because Eva always" | | 17 | "She hadn't expected one." | | 18 | "She told herself she hadn't" | | 19 | "She found the tree at" |
| | ratio | 0.831 | |
| 76.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 65 | | matches | | 0 | "Now a bowl, dark wood," |
| | ratio | 0.015 | |
| 44.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 4 | | matches | | 0 | "The grass gave under her boots with a softness that felt deliberate, as though the ground cradled each step to stop her hearing her own footfall." | | 1 | "She found the tree at the clearing's heart by following the flowers, which grew thicker the closer she came, until she walked ankle-deep in violet." | | 2 | "The pendant pulsed faster now, and she noticed, with a cold clarity that arrived from nowhere, that the pulsing matched her own heartbeat no longer." | | 3 | "Aurora's hand found her own hair, found it intact, and hated the relief that flooded her because relief implied the fear had been reasonable." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |