| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1232 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "lazily" | | 2 | "slightly" |
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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) | |
| 10.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1232 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "familiar" | | 1 | "reminder" | | 2 | "gloom" | | 3 | "pulsed" | | 4 | "warmth" | | 5 | "weight" | | 6 | "chill" | | 7 | "echoes" | | 8 | "scanning" | | 9 | "standard" | | 10 | "rhythmic" | | 11 | "velvet" | | 12 | "pulse" | | 13 | "magnetic" | | 14 | "tension" | | 15 | "searing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 86 | | matches | | |
| 93.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1232 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 38.77% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 944 | | uniqueNames | 15 | | maxNameDensity | 2.22 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 21 | | Carter | 1 | | Nyx | 7 | | London | 2 | | Heartstone | 3 | | Pendant | 2 | | Hel | 2 | | Fae | 3 | | Courts | 1 | | Fae-Forged | 1 | | Blade | 1 | | Isolde | 11 | | Varga | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Nyx" | | 3 | "Pendant" | | 4 | "Blade" | | 5 | "Isolde" | | 6 | "Varga" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Hel" | | 4 | "Fae" |
| | globalScore | 0.388 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like a tether pulling her skin tig" | | 1 | "shadow that seemed to absorb the dying light of the London dusk" | | 2 | "felt like velvet" | | 3 | "shadows that seemed to reach for the silver tree" |
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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 | 1232 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 35.2 | | std | 19.73 | | cv | 0.561 | | sampleLengths | | 0 | 82 | | 1 | 42 | | 2 | 23 | | 3 | 81 | | 4 | 16 | | 5 | 75 | | 6 | 45 | | 7 | 37 | | 8 | 33 | | 9 | 40 | | 10 | 10 | | 11 | 69 | | 12 | 24 | | 13 | 45 | | 14 | 8 | | 15 | 28 | | 16 | 40 | | 17 | 28 | | 18 | 53 | | 19 | 33 | | 20 | 40 | | 21 | 16 | | 22 | 14 | | 23 | 30 | | 24 | 41 | | 25 | 26 | | 26 | 26 | | 27 | 51 | | 28 | 6 | | 29 | 26 | | 30 | 41 | | 31 | 23 | | 32 | 54 | | 33 | 6 | | 34 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 165 | | matches | | 0 | "was biting" | | 1 | "were spinning" | | 2 | "was burning" | | 3 | "was reacting" | | 4 | "was vibrating" | | 5 | "was bleeding" |
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| 87.38% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 103 | | ratio | 0.019 | | matches | | 0 | "She did not walk; she glided." | | 1 | "One step, the air was cool and smelled of pine; the next, it was humid and heavy with the scent of jasmine and rotting fruit." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 861 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.026713124274099883 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.015098722415795587 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 11.96 | | std | 6.93 | | cv | 0.579 | | sampleLengths | | 0 | 29 | | 1 | 21 | | 2 | 32 | | 3 | 4 | | 4 | 26 | | 5 | 12 | | 6 | 16 | | 7 | 7 | | 8 | 4 | | 9 | 15 | | 10 | 10 | | 11 | 26 | | 12 | 11 | | 13 | 15 | | 14 | 4 | | 15 | 12 | | 16 | 18 | | 17 | 6 | | 18 | 28 | | 19 | 8 | | 20 | 4 | | 21 | 11 | | 22 | 14 | | 23 | 13 | | 24 | 18 | | 25 | 12 | | 26 | 14 | | 27 | 11 | | 28 | 10 | | 29 | 6 | | 30 | 17 | | 31 | 3 | | 32 | 13 | | 33 | 16 | | 34 | 8 | | 35 | 4 | | 36 | 6 | | 37 | 6 | | 38 | 6 | | 39 | 25 | | 40 | 14 | | 41 | 18 | | 42 | 13 | | 43 | 6 | | 44 | 5 | | 45 | 4 | | 46 | 10 | | 47 | 13 | | 48 | 18 | | 49 | 8 |
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| 52.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.33980582524271846 | | totalSentences | 103 | | uniqueOpeners | 35 | |
| 43.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 77 | | matches | | 0 | "Instead, the weight of the" |
| | ratio | 0.013 | |
| 74.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 77 | | matches | | 0 | "She paused, her boot hovering" | | 1 | "They were a silhouette cut" | | 2 | "Their violet eyes glowed faintly," | | 3 | "Her hand drifted to her" | | 4 | "It usually pulsed with a" | | 5 | "Her voice sounded flat, swallowed" | | 6 | "She did not walk; she" | | 7 | "Her silver hair cascaded down" | | 8 | "Her voice was melodic, layered" | | 9 | "She was the anchor here," | | 10 | "She smelled of rain and" | | 11 | "It was a bruised purple," | | 12 | "They moved deeper into the" | | 13 | "She focused on the path," | | 14 | "She saw a fern unfurl" | | 15 | "She saw a butterfly land" | | 16 | "She checked her watch." | | 17 | "She shoved her hand into" | | 18 | "They felt heavy, like lead." | | 19 | "They reached a small clearing" |
| | ratio | 0.364 | |
| 11.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 77 | | matches | | 0 | "The air in Richmond Park" | | 1 | "She paused, her boot hovering" | | 2 | "The crescent scar on her" | | 3 | "They were a silhouette cut" | | 4 | "Their violet eyes glowed faintly," | | 5 | "Nyx whispered, their voice sounding" | | 6 | "Aurora didn't answer immediately." | | 7 | "Her hand drifted to her" | | 8 | "The deep crimson gem was" | | 9 | "It usually pulsed with a" | | 10 | "The moonsilver handle was biting" | | 11 | "Aurora called out" | | 12 | "Her voice sounded flat, swallowed" | | 13 | "She did not walk; she" | | 14 | "Her silver hair cascaded down" | | 15 | "The grass bent under Isolde's" | | 16 | "Her voice was melodic, layered" | | 17 | "Aurora said, keeping her tone" | | 18 | "She was the anchor here," | | 19 | "Isolde interrupted, stopping inches from" |
| | ratio | 0.896 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 6 | | matches | | 0 | "They were a silhouette cut from the night itself, a humanoid shape of living shadow that seemed to absorb the dying light of the London dusk." | | 1 | "Her voice was melodic, layered with echoes that didn't match her lip movements." | | 2 | "She was the anchor here, the human mind in a place that defied physics." | | 3 | "Aurora stepped forward, her boots sinking slightly into moss that felt like velvet." | | 4 | "The moonsilver was vibrating now, a low thrum that traveled up her arm and settled in her teeth." | | 5 | "Nyx solidified beside her, their violet eyes flaring brighter, casting long, jagged shadows that seemed to reach for the silver tree." |
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| 50.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 3 | | matches | | 0 | "Nyx whispered, their voice sounding like dry leaves skittering over pavement" | | 1 | "Aurora said, her voice tight" | | 2 | "Isolde corrected, her lavender eyes narrowing" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 9 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Isolde interrupted (interrupt)" | | 2 | "they murmured (murmur)" | | 3 | "she muttered (mutter)" | | 4 | "Isolde chuckled (chuckle)" | | 5 | "Isolde corrected (correct)" | | 6 | "Nyx whispered (whisper)" | | 7 | "Isolde repeated (repeat)" | | 8 | "Nyx whispered (whisper)" |
| | dialogueSentences | 36 | | tagDensity | 0.472 | | leniency | 0.944 | | rawRatio | 0.529 | | effectiveRatio | 0.5 | |