| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1578 | | 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) | |
| 77.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1578 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "warmth" | | 1 | "footsteps" | | 2 | "vibrated" | | 3 | "pulsed" | | 4 | "trembled" | | 5 | "stomach" |
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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 | 179 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 179 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 187 | | 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 | 1576 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1550 | | uniqueNames | 5 | | maxNameDensity | 0.9 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 14 | | Park | 1 | | London | 1 | | Golden | 2 | | Empress | 2 |
| | persons | | | places | | 0 | "Park" | | 1 | "London" | | 2 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 126 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed more foolish than walking through a park at night" | | 1 | "looked like before it decided to appear i" | | 2 | "seemed narrower than before" |
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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 | 1576 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 187 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 86 | | mean | 18.33 | | std | 17.64 | | cv | 0.962 | | sampleLengths | | 0 | 8 | | 1 | 67 | | 2 | 77 | | 3 | 51 | | 4 | 10 | | 5 | 11 | | 6 | 20 | | 7 | 11 | | 8 | 39 | | 9 | 5 | | 10 | 42 | | 11 | 5 | | 12 | 13 | | 13 | 3 | | 14 | 9 | | 15 | 63 | | 16 | 34 | | 17 | 6 | | 18 | 2 | | 19 | 23 | | 20 | 31 | | 21 | 4 | | 22 | 7 | | 23 | 72 | | 24 | 12 | | 25 | 31 | | 26 | 10 | | 27 | 1 | | 28 | 10 | | 29 | 6 | | 30 | 35 | | 31 | 7 | | 32 | 4 | | 33 | 32 | | 34 | 17 | | 35 | 17 | | 36 | 27 | | 37 | 8 | | 38 | 41 | | 39 | 44 | | 40 | 22 | | 41 | 4 | | 42 | 7 | | 43 | 20 | | 44 | 10 | | 45 | 17 | | 46 | 12 | | 47 | 12 | | 48 | 6 | | 49 | 47 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 179 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 260 | | matches | | |
| 97.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 187 | | ratio | 0.016 | | matches | | 0 | "The silver chain bit into her palm; the small crimson stone pressed against her skin, pulsing with a heat that had no business being there." | | 1 | "They looked less like markers than trees that had grown wrong—too straight, too bare of branches, their bark folded into deep ridges." | | 2 | "The sound had come from somewhere beyond the clearing—bright and small, like the brass bell over the door at the Golden Empress." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1553 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same low, leaf-dry murmur" |
| | adverbCount | 40 | | adverbRatio | 0.025756600128783 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.000643915003219575 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 187 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 187 | | mean | 8.43 | | std | 5.62 | | cv | 0.667 | | sampleLengths | | 0 | 8 | | 1 | 11 | | 2 | 25 | | 3 | 21 | | 4 | 10 | | 5 | 30 | | 6 | 14 | | 7 | 12 | | 8 | 21 | | 9 | 16 | | 10 | 22 | | 11 | 4 | | 12 | 9 | | 13 | 4 | | 14 | 2 | | 15 | 4 | | 16 | 3 | | 17 | 8 | | 18 | 5 | | 19 | 15 | | 20 | 11 | | 21 | 2 | | 22 | 12 | | 23 | 6 | | 24 | 19 | | 25 | 5 | | 26 | 4 | | 27 | 22 | | 28 | 16 | | 29 | 3 | | 30 | 2 | | 31 | 6 | | 32 | 7 | | 33 | 3 | | 34 | 9 | | 35 | 14 | | 36 | 9 | | 37 | 16 | | 38 | 11 | | 39 | 13 | | 40 | 16 | | 41 | 8 | | 42 | 6 | | 43 | 4 | | 44 | 6 | | 45 | 2 | | 46 | 11 | | 47 | 9 | | 48 | 3 | | 49 | 24 |
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| 41.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.23529411764705882 | | totalSentences | 187 | | uniqueOpeners | 44 | |
| 40.40% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 165 | | matches | | 0 | "Then, from the far side" | | 1 | "Then a third, near the" |
| | ratio | 0.012 | |
| 76.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 59 | | totalSentences | 165 | | matches | | 0 | "She stopped on the path" | | 1 | "She had come because the" | | 2 | "She had followed it past" | | 3 | "They looked less like markers" | | 4 | "Her voice sounded too loud." | | 5 | "It travelled across the clearing" | | 6 | "She slipped the pendant beneath" | | 7 | "Her black hair brushed her" | | 8 | "She listened for footsteps, a" | | 9 | "She took out her phone" | | 10 | "She moved along the inner" | | 11 | "Their scent was stronger than" | | 12 | "She had passed a patch" | | 13 | "She remembered because there had" | | 14 | "It curled towards the ground" | | 15 | "She touched it with one" | | 16 | "She rubbed her thumb over" | | 17 | "Her other hand stayed around" | | 18 | "she told herself" | | 19 | "She continued around the circle," |
| | ratio | 0.358 | |
| 23.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 144 | | totalSentences | 165 | | matches | | 0 | "The pendant warmed before Aurora" | | 1 | "She stopped on the path" | | 2 | "The silver chain bit into" | | 3 | "Richmond Park spread dark on" | | 4 | "A plane crossed somewhere overhead," | | 5 | "She had come because the" | | 6 | "The warmth had vanished before" | | 7 | "Tonight, it had started again" | | 8 | "She had followed it past" | | 9 | "They looked less like markers" | | 10 | "Wildflowers crowded their roots." | | 11 | "Aurora checked her phone." | | 12 | "The time read 11:47." | | 13 | "Her voice sounded too loud." | | 14 | "It travelled across the clearing" | | 15 | "She slipped the pendant beneath" | | 16 | "The grass gave under her" | | 17 | "Her black hair brushed her" | | 18 | "A bell rang behind her." | | 19 | "Aurora faced the park." |
| | ratio | 0.873 | |
| 90.91% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 165 | | matches | | 0 | "Now the stones stood ahead" | | 1 | "If this was a portal," | | 2 | "Whoever had spoken had been" |
| | ratio | 0.018 | |
| 97.51% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 4 | | matches | | 0 | "The silver chain bit into her palm; the small crimson stone pressed against her skin, pulsing with a heat that had no business being there." | | 1 | "They looked less like markers than trees that had grown wrong—too straight, too bare of branches, their bark folded into deep ridges." | | 2 | "She listened for footsteps, a dog, a bicycle chain, anything that belonged to the ordinary park." | | 3 | "They spoke in the same low, leaf-dry murmur as the voice that had said her name." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.5 | | effectiveRatio | 0.2 | |