| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 84.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1646 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "gently" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "very" |
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| 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) | |
| 45.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1646 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "throb" | | 3 | "pulse" | | 4 | "pulsed" | | 5 | "resolved" | | 6 | "could feel" | | 7 | "measured" | | 8 | "weight" | | 9 | "tension" | | 10 | "familiar" |
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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 | 111 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 111 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1639 | | 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 | 11 | | wordCount | 1639 | | uniqueNames | 3 | | maxNameDensity | 0.55 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 98.45% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 97 | | glossingSentenceCount | 2 | | matches | | 0 | "something like fabric brushing against bark" | | 1 | "appeared ahead between the rhododendron leaves" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1639 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 111 | | matches | | 0 | "moved that she" | | 1 | "notice that her" |
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| 15.63% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 91.06 | | std | 18.64 | | cv | 0.205 | | sampleLengths | | 0 | 120 | | 1 | 98 | | 2 | 116 | | 3 | 91 | | 4 | 87 | | 5 | 79 | | 6 | 86 | | 7 | 65 | | 8 | 62 | | 9 | 97 | | 10 | 67 | | 11 | 92 | | 12 | 99 | | 13 | 75 | | 14 | 92 | | 15 | 76 | | 16 | 105 | | 17 | 132 |
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| 98.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 111 | | matches | | 0 | "was answered" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 252 | | matches | (empty) | |
| 14.16% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 111 | | ratio | 0.045 | | matches | | 0 | "She walked without light; her phone was dead, the battery drained from the long evening runs between kitchens and flats." | | 1 | "The oaks formed a rough circle around a patch of grass where the wildflowers—ox-eye daisies, foxgloves, ragged robin—stood open though the hour was past midnight." | | 2 | "The sound of breathing reached her—slow, measured, coming from no single direction." | | 3 | "Her breath came in short, controlled bursts she counted—one, two—because counting made the seconds real instead of elastic." | | 4 | "Behind her the clearing remained unchanged—six stones, wildflowers open, the oak trunks still straight and evenly spaced." |
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| 89.71% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1648 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 74 | | adverbRatio | 0.044902912621359224 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.009708737864077669 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 14.77 | | std | 8.03 | | cv | 0.544 | | sampleLengths | | 0 | 27 | | 1 | 24 | | 2 | 20 | | 3 | 24 | | 4 | 25 | | 5 | 15 | | 6 | 17 | | 7 | 20 | | 8 | 20 | | 9 | 2 | | 10 | 18 | | 11 | 6 | | 12 | 10 | | 13 | 11 | | 14 | 26 | | 15 | 15 | | 16 | 14 | | 17 | 24 | | 18 | 16 | | 19 | 14 | | 20 | 4 | | 21 | 22 | | 22 | 23 | | 23 | 5 | | 24 | 23 | | 25 | 5 | | 26 | 25 | | 27 | 25 | | 28 | 13 | | 29 | 19 | | 30 | 14 | | 31 | 25 | | 32 | 19 | | 33 | 21 | | 34 | 5 | | 35 | 13 | | 36 | 16 | | 37 | 12 | | 38 | 10 | | 39 | 6 | | 40 | 10 | | 41 | 14 | | 42 | 16 | | 43 | 10 | | 44 | 16 | | 45 | 9 | | 46 | 14 | | 47 | 16 | | 48 | 11 | | 49 | 14 |
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| 39.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.21621621621621623 | | totalSentences | 111 | | uniqueOpeners | 24 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 107 | | matches | | 0 | "Somewhere ahead, an owl called" | | 1 | "Somewhere in the trees a" | | 2 | "Then silence again, long enough" | | 3 | "Instead she slid her hand" | | 4 | "Only then did she turn" | | 5 | "Only then did she allow" |
| | ratio | 0.056 | |
| 55.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 107 | | matches | | 0 | "She had come because the" | | 1 | "She had felt the silver" | | 2 | "She told herself it was" | | 3 | "She walked without light; her" | | 4 | "She had thought to come" | | 5 | "She had pocketed it anyway," | | 6 | "Her boots made almost no" | | 7 | "She passed the old iron" | | 8 | "She slowed, then stopped, because" | | 9 | "She turned her head." | | 10 | "She had learned in the" | | 11 | "She lowered herself to one" | | 12 | "She had worn it for" | | 13 | "She stayed still, watching it." | | 14 | "She could hear her breath," | | 15 | "She looked up but saw" | | 16 | "She turned a full circle," | | 17 | "She pressed her fingers against" | | 18 | "She took one deliberate step" | | 19 | "She waited, counting the beats" |
| | ratio | 0.411 | |
| 58.13% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 107 | | matches | | 0 | "Aurora cut the engine at" | | 1 | "She had come because the" | | 2 | "She had felt the silver" | | 3 | "She told herself it was" | | 4 | "The path that led from" | | 5 | "Aurora kept one hand on" | | 6 | "She walked without light; her" | | 7 | "She had thought to come" | | 8 | "She had pocketed it anyway," | | 9 | "Her boots made almost no" | | 10 | "The trees on either side" | | 11 | "She passed the old iron" | | 12 | "Tonight the fence ended at" | | 13 | "She slowed, then stopped, because" | | 14 | "A faint sound reached her" | | 15 | "She turned her head." | | 16 | "Nothing moved that she could" | | 17 | "Aurora kept her stride even." | | 18 | "She had learned in the" | | 19 | "The clearing opened without warning." |
| | ratio | 0.804 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 107 | | matches | | 0 | "Now the silence felt too" | | 1 | "Now it brightened with every" | | 2 | "If anything moved among them" |
| | ratio | 0.028 | |
| 81.13% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 81 | | technicalSentenceCount | 7 | | matches | | 0 | "The path that led from the car park was a pale strip between shoulder-high rhododendrons." | | 1 | "In that moment of red light she saw a movement in the corner of her eye, a shift of darkness that resolved into a taller shape among the stones on the far side …" | | 2 | "It rose over the grass and sank again, as though the clearing itself drew air." | | 3 | "Its red glow returned, steady, illuminating the lower edge of the shape until she saw the suggestion of limbs too long, joints set at angles that did not match …" | | 4 | "A single wildflower bent near her foot, its stem curling as though touched by an unseen hand." | | 5 | "The pendant began to rotate, a slow, deliberate turn that caught the moonlight twice before stopping again." | | 6 | "The breathing deepened once, as though something had tasted the air, and the shape withdrew behind the stones on the far side." |
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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 | |