| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1098 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1098 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "silence" | | 1 | "rhythmic" | | 2 | "vibrated" | | 3 | "warmth" | | 4 | "pulse" | | 5 | "quickened" | | 6 | "searing" | | 7 | "echoed" | | 8 | "scanning" | | 9 | "loomed" | | 10 | "pristine" | | 11 | "race" | | 12 | "oppressive" | | 13 | "chill" | | 14 | "shattered" | | 15 | "churn" | | 16 | "depths" | | 17 | "synchronized" | | 18 | "effortless" |
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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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 92 | | filterMatches | (empty) | | 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1098 | | ratio | 0.002 | | matches | | 0 | "Slop-slosh. Slop-slosh." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 85.52% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1008 | | uniqueNames | 8 | | maxNameDensity | 1.29 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Fae | 1 | | Grove | 1 | | Richmond | 1 | | Park | 1 | | London | 1 | | Heartstone | 4 | | Aurora | 13 | | Hel | 1 |
| | persons | | | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "London" |
| | globalScore | 0.855 | | windowScore | 1 | |
| 14.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 4 | | matches | | 0 | "sounded like a thick bone breaking" | | 1 | "seemed denser than they should be, like ink spilled across a canvas" | | 2 | "patterns that seemed to shift and writhe when she looked at them from the corner of her eye" | | 3 | "sounded like grinding stones" |
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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 | 1098 | | 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 | 47 | | mean | 23.36 | | std | 15.91 | | cv | 0.681 | | sampleLengths | | 0 | 52 | | 1 | 18 | | 2 | 9 | | 3 | 25 | | 4 | 14 | | 5 | 42 | | 6 | 36 | | 7 | 19 | | 8 | 48 | | 9 | 2 | | 10 | 29 | | 11 | 57 | | 12 | 17 | | 13 | 17 | | 14 | 35 | | 15 | 21 | | 16 | 36 | | 17 | 18 | | 18 | 11 | | 19 | 31 | | 20 | 12 | | 21 | 8 | | 22 | 9 | | 23 | 2 | | 24 | 10 | | 25 | 4 | | 26 | 47 | | 27 | 2 | | 28 | 14 | | 29 | 38 | | 30 | 41 | | 31 | 51 | | 32 | 25 | | 33 | 9 | | 34 | 6 | | 35 | 55 | | 36 | 9 | | 37 | 18 | | 38 | 7 | | 39 | 4 | | 40 | 35 | | 41 | 16 | | 42 | 14 | | 43 | 42 | | 44 | 38 | | 45 | 32 | | 46 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 68.42% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 152 | | matches | | 0 | "was screaming" | | 1 | "wasn't just pulsing" | | 2 | "was circling" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 103 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1016 | | adjectiveStacks | 2 | | stackExamples | | 0 | "vivid, neon-purple wildflowers" | | 1 | "massive, weathered grey monoliths" |
| | adverbCount | 40 | | adverbRatio | 0.03937007874015748 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.012795275590551181 | |
| 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 | 10.66 | | std | 6.16 | | cv | 0.578 | | sampleLengths | | 0 | 17 | | 1 | 19 | | 2 | 16 | | 3 | 18 | | 4 | 9 | | 5 | 3 | | 6 | 19 | | 7 | 3 | | 8 | 14 | | 9 | 8 | | 10 | 10 | | 11 | 16 | | 12 | 8 | | 13 | 22 | | 14 | 7 | | 15 | 7 | | 16 | 19 | | 17 | 8 | | 18 | 7 | | 19 | 12 | | 20 | 2 | | 21 | 19 | | 22 | 2 | | 23 | 9 | | 24 | 11 | | 25 | 9 | | 26 | 13 | | 27 | 27 | | 28 | 17 | | 29 | 17 | | 30 | 17 | | 31 | 6 | | 32 | 10 | | 33 | 5 | | 34 | 14 | | 35 | 13 | | 36 | 8 | | 37 | 13 | | 38 | 4 | | 39 | 19 | | 40 | 8 | | 41 | 10 | | 42 | 11 | | 43 | 14 | | 44 | 17 | | 45 | 6 | | 46 | 4 | | 47 | 1 | | 48 | 1 | | 49 | 8 |
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| 38.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2621359223300971 | | totalSentences | 103 | | uniqueOpeners | 27 | |
| 78.43% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 85 | | matches | | 0 | "Then, the reflection smiled." | | 1 | "Only the distant, rhythmic thumping" |
| | ratio | 0.024 | |
| 78.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 85 | | matches | | 0 | "She reached into her pocket" | | 1 | "She paused, listening." | | 2 | "It felt vacuum-sealed." | | 3 | "It wasn't a gentle heat," | | 4 | "She stepped over a patch" | | 5 | "It sounded like a thick" | | 6 | "She didn't wait for a" | | 7 | "She broke into a small" | | 8 | "They were massive, weathered grey" | | 9 | "It looked modern, perhaps from" | | 10 | "She leaned closer, her reflection" | | 11 | "It wasn't a human smile," | | 12 | "She stumbled back, her heel" | | 13 | "She turned to race back" | | 14 | "It came from the direction" | | 15 | "She didn't breathe." | | 16 | "It was a lie." | | 17 | "She could see nothing but" | | 18 | "It wasn't a voice so" | | 19 | "It came from directly behind" |
| | ratio | 0.353 | |
| 7.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 85 | | matches | | 0 | "Aurora shoved a heavy, wet" | | 1 | "The foliage of the Fae" | | 2 | "Here, the greenery felt intentional," | | 3 | "She reached into her pocket" | | 4 | "She paused, listening." | | 5 | "The silence of the grove" | | 6 | "It felt vacuum-sealed." | | 7 | "A soft, rhythmic thrum vibrated" | | 8 | "Aurora reached beneath her shirt" | | 9 | "The small crimson gemstone felt" | | 10 | "It wasn't a gentle heat," | | 11 | "She stepped over a patch" | | 12 | "The warmth turned into a" | | 13 | "A snap echoed from the" | | 14 | "It sounded like a thick" | | 15 | "Aurora spun around, her bright" | | 16 | "The shadows between the ancient" | | 17 | "She didn't wait for a" | | 18 | "Aurora hurried forward, her boots" | | 19 | "The ground felt spongy, almost" |
| | ratio | 0.906 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "The small crimson gemstone felt hot, pulsing with a steady, insistent warmth that mirrored a heartbeat." | | 1 | "She stepped over a patch of vivid, neon-purple wildflowers that bloomed in the dark, their petals shivering despite the lack of wind." | | 2 | "They were massive, weathered grey monoliths carved with swirling patterns that seemed to shift and writhe when she looked at them from the corner of her eye." | | 3 | "The pendant wasn't just pulsing now, it was screaming, a high-pitched frequency that shattered the silence of the grove." | | 4 | "It had no face, only a vertical slit that ran from its forehead to its chest, lined with the same needle-teeth she had seen in the reflection." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "the thing rasped, its voice a chorus of a thousand dying whispers" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |