| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.889 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 774 | | totalAiIsmAdverbs | 1 | | 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) | |
| 54.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 774 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "flickered" | | 2 | "profound" | | 3 | "loomed" | | 4 | "weight" |
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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 | 60 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 61 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 773 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 738 | | uniqueNames | 8 | | maxNameDensity | 1.08 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Vespa | 1 | | Richmond | 2 | | Park | 2 | | London | 2 | | Heartstone | 2 | | Fae | 1 | | Grove | 1 | | Aurora | 8 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 0.958 | | windowScore | 0.833 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like dry leaves scraping across co" |
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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 | 773 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 28.63 | | std | 22.6 | | cv | 0.79 | | sampleLengths | | 0 | 85 | | 1 | 13 | | 2 | 91 | | 3 | 5 | | 4 | 38 | | 5 | 6 | | 6 | 29 | | 7 | 10 | | 8 | 34 | | 9 | 54 | | 10 | 3 | | 11 | 26 | | 12 | 14 | | 13 | 12 | | 14 | 20 | | 15 | 36 | | 16 | 58 | | 17 | 9 | | 18 | 5 | | 19 | 37 | | 20 | 22 | | 21 | 28 | | 22 | 27 | | 23 | 3 | | 24 | 33 | | 25 | 26 | | 26 | 49 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 117 | | matches | (empty) | |
| 49.18% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 61 | | ratio | 0.033 | | matches | | 0 | "Richmond Park at noon was a expanse of open hills and grazing deer; at midnight, beneath a bruised, moonless sky, it became a labyrinth of black timber and shifting shadows." | | 1 | "The air here was noticeably warmer, smelling of blooming bluebells—flowers that had no business surviving a London winter." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 744 | | adjectiveStacks | 1 | | stackExamples | | 0 | "smooth, thumbnail-sized surface" |
| | adverbCount | 16 | | adverbRatio | 0.021505376344086023 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010752688172043012 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 61 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 61 | | mean | 12.67 | | std | 7.43 | | cv | 0.586 | | sampleLengths | | 0 | 16 | | 1 | 4 | | 2 | 17 | | 3 | 14 | | 4 | 15 | | 5 | 19 | | 6 | 13 | | 7 | 14 | | 8 | 8 | | 9 | 30 | | 10 | 8 | | 11 | 7 | | 12 | 24 | | 13 | 5 | | 14 | 17 | | 15 | 21 | | 16 | 6 | | 17 | 2 | | 18 | 18 | | 19 | 2 | | 20 | 7 | | 21 | 10 | | 22 | 6 | | 23 | 15 | | 24 | 13 | | 25 | 8 | | 26 | 14 | | 27 | 9 | | 28 | 23 | | 29 | 3 | | 30 | 8 | | 31 | 18 | | 32 | 14 | | 33 | 2 | | 34 | 10 | | 35 | 6 | | 36 | 14 | | 37 | 36 | | 38 | 15 | | 39 | 26 | | 40 | 17 | | 41 | 9 | | 42 | 5 | | 43 | 7 | | 44 | 24 | | 45 | 6 | | 46 | 19 | | 47 | 3 | | 48 | 9 | | 49 | 19 |
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| 66.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4262295081967213 | | totalSentences | 61 | | uniqueOpeners | 26 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 56 | | matches | | 0 | "Just skeletal branches clawing at" | | 1 | "Even the distant hum of" |
| | ratio | 0.036 | |
| 77.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 56 | | matches | | 0 | "She reached into her pocket," | | 1 | "She lifted the chain over" | | 2 | "Her breath plumed white in" | | 3 | "She checked the compass on" | | 4 | "She walked deeper, guided only" | | 5 | "She turned her head, fixing" | | 6 | "Her voice sounded thin, swallowed" | | 7 | "She adjusted the strap of" | | 8 | "She reached out, her fingertips" | | 9 | "She stepped past the stones" | | 10 | "Her heart hammered against her" | | 11 | "It sounded like dry leaves" | | 12 | "It wore the shape of" | | 13 | "Its face remained entirely obscured" | | 14 | "She spun, sprinting toward the" | | 15 | "Her boots pounded against the" | | 16 | "It wasn't two feet hitting" | | 17 | "She vaulted the boundary stones," | | 18 | "She didn't look back." | | 19 | "She scrambled to her feet" |
| | ratio | 0.357 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 56 | | matches | | 0 | "The Vespa rattled to a" | | 1 | "Aurora killed the engine." | | 2 | "Silence rushed in, thick and" | | 3 | "Fog rolled across the asphalt," | | 4 | "She reached into her pocket," | | 5 | "The silver chain felt freezing" | | 6 | "She lifted the chain over" | | 7 | "A rusted latch groaned as" | | 8 | "The grass swallowed her boots" | | 9 | "Richmond Park at noon was" | | 10 | "Her breath plumed white in" | | 11 | "She checked the compass on" | | 12 | "The screen flickered, the blue" | | 13 | "Darkness pressed against her eyeballs." | | 14 | "She walked deeper, guided only" | | 15 | "The air grew dense, smelling" | | 16 | "A twig snapped to her" | | 17 | "She turned her head, fixing" | | 18 | "Her voice sounded thin, swallowed" | | 19 | "The silence returned, heavier than" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "It wore the shape of a man, tall and impossibly thin, dressed in a heavy trench coat that billowed despite the absolute stillness of the air." | | 1 | "The Heartstone pendant beneath her shirt woke, burning hot against her sternum, pulsing in frantic, erratic beats." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "the figure whispered (whisper)" | | 1 | "the entity hissed (hiss)" |
| | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0.4 | | effectiveRatio | 0.4 | |