| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1620 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "perfectly" | | 2 | "completely" |
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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) | |
| 47.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1620 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "silk" | | 1 | "pulse" | | 2 | "familiar" | | 3 | "stomach" | | 4 | "vibrated" | | 5 | "scanned" | | 6 | "pulsed" | | 7 | "flicked" | | 8 | "footfall" | | 9 | "throbbed" | | 10 | "perfect" | | 11 | "glistening" | | 12 | "lurched" | | 13 | "shattered" |
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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 | 215 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 215 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 218 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 8 | | totalWords | 1620 | | ratio | 0.005 | | matches | | 0 | "Heartstone belongs in the Grove. Midnight. Come alone." |
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| 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 | 26 | | wordCount | 1604 | | uniqueNames | 7 | | maxNameDensity | 0.62 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Heartstone" | | discoveredNames | | Grove | 2 | | Heartstone | 7 | | London | 1 | | Richmond | 1 | | Park | 1 | | Aurora | 10 | | Pain | 4 |
| | persons | | 0 | "Grove" | | 1 | "Heartstone" | | 2 | "Aurora" | | 3 | "Pain" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 120 | | glossingSentenceCount | 4 | | matches | | 0 | "spirals that seemed to twist when she looked away" | | 1 | "felt like pressing her tongue to a batt" | | 2 | "seemed farther apart than before" | | 3 | "not quite a laugh answered" |
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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 | 1620 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 218 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 25.71 | | std | 15.74 | | cv | 0.612 | | sampleLengths | | 0 | 32 | | 1 | 44 | | 2 | 46 | | 3 | 5 | | 4 | 24 | | 5 | 15 | | 6 | 46 | | 7 | 6 | | 8 | 51 | | 9 | 8 | | 10 | 37 | | 11 | 34 | | 12 | 34 | | 13 | 2 | | 14 | 9 | | 15 | 58 | | 16 | 60 | | 17 | 11 | | 18 | 7 | | 19 | 9 | | 20 | 35 | | 21 | 32 | | 22 | 8 | | 23 | 29 | | 24 | 7 | | 25 | 43 | | 26 | 15 | | 27 | 4 | | 28 | 32 | | 29 | 41 | | 30 | 15 | | 31 | 37 | | 32 | 45 | | 33 | 26 | | 34 | 51 | | 35 | 25 | | 36 | 39 | | 37 | 7 | | 38 | 43 | | 39 | 12 | | 40 | 53 | | 41 | 13 | | 42 | 46 | | 43 | 16 | | 44 | 26 | | 45 | 39 | | 46 | 3 | | 47 | 10 | | 48 | 43 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 215 | | matches | | 0 | "been unsigned" | | 1 | "been arranged" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 294 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 218 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1610 | | adjectiveStacks | 1 | | stackExamples | | 0 | "wider, revealing tiny black mouths" |
| | adverbCount | 60 | | adverbRatio | 0.037267080745341616 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006211180124223602 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 218 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 218 | | mean | 7.43 | | std | 5.1 | | cv | 0.686 | | sampleLengths | | 0 | 22 | | 1 | 10 | | 2 | 5 | | 3 | 19 | | 4 | 1 | | 5 | 19 | | 6 | 11 | | 7 | 20 | | 8 | 6 | | 9 | 9 | | 10 | 5 | | 11 | 7 | | 12 | 1 | | 13 | 6 | | 14 | 10 | | 15 | 3 | | 16 | 12 | | 17 | 8 | | 18 | 18 | | 19 | 4 | | 20 | 16 | | 21 | 1 | | 22 | 2 | | 23 | 3 | | 24 | 13 | | 25 | 14 | | 26 | 8 | | 27 | 16 | | 28 | 5 | | 29 | 3 | | 30 | 2 | | 31 | 6 | | 32 | 13 | | 33 | 6 | | 34 | 2 | | 35 | 8 | | 36 | 5 | | 37 | 12 | | 38 | 1 | | 39 | 4 | | 40 | 12 | | 41 | 6 | | 42 | 3 | | 43 | 10 | | 44 | 5 | | 45 | 3 | | 46 | 7 | | 47 | 2 | | 48 | 5 | | 49 | 2 |
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| 49.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3256880733944954 | | totalSentences | 218 | | uniqueOpeners | 71 | |
| 92.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 181 | | matches | | 0 | "Only deeper shadow between the" | | 1 | "More like the absence of" | | 2 | "More like the memory of" | | 3 | "Only then did she allow" | | 4 | "Then the scar on her" |
| | ratio | 0.028 | |
| 71.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 67 | | totalSentences | 181 | | matches | | 0 | "She had come for answers." | | 1 | "She tasted iron at the" | | 2 | "She spun, hand flying to" | | 3 | "Her pulse beat in her" | | 4 | "She forced herself to breathe" | | 5 | "Its crimson glow leaked between" | | 6 | "She crossed the grove in" | | 7 | "She turned her head slowly," | | 8 | "Their petals pointed toward her" | | 9 | "She took one step backward." | | 10 | "She would follow it." | | 11 | "Her ankle rolled." | | 12 | "She caught herself against a" | | 13 | "She welcomed it." | | 14 | "She straightened and kept going." | | 15 | "She lifted the chain over" | | 16 | "Its inner glow brightened, throwing" | | 17 | "She lowered the pendant toward" | | 18 | "She scanned the tree line," | | 19 | "She faced the mound once" |
| | ratio | 0.37 | |
| 45.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 150 | | totalSentences | 181 | | matches | | 0 | "Aurora shoved through the last" | | 1 | "The pendant burned against her" | | 2 | "She had come for answers." | | 3 | "The note slipped under her" | | 4 | "Wildflowers bobbed though no wind" | | 5 | "She tasted iron at the" | | 6 | "A branch snapped behind her." | | 7 | "She spun, hand flying to" | | 8 | "Her pulse beat in her" | | 9 | "The word sounded borrowed, as" | | 10 | "She forced herself to breathe" | | 11 | "The scent of turned earth" | | 12 | "The Heartstone flared hotter." | | 13 | "Its crimson glow leaked between" | | 14 | "She crossed the grove in" | | 15 | "Each one bore a different" | | 16 | "A faint hum rose, so" | | 17 | "Another snap, closer this time." | | 18 | "The hum climbed half a" | | 19 | "She turned her head slowly," |
| | ratio | 0.829 | |
| 55.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 181 | | matches | | 0 | "Now the air pressed against" | | 1 | "To her left." |
| | ratio | 0.011 | |
| 76.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 65 | | technicalSentenceCount | 6 | | matches | | 0 | "The centre of the grove revealed itself in stages: a low mound of earth no taller than her knee, ringed by smaller stones that leaned inward like conspirators." | | 1 | "The hum rose to a thrum that vibrated in her breastbone." | | 2 | "Their petals opened wider, revealing tiny black mouths at their centres that had not been there before." | | 3 | "She sprawled, chin striking earth that tasted of blood and sugar." | | 4 | "Her own voice sounded distant, distorted, as though spoken underwater." | | 5 | "A long, satisfied sound that promised it was not finished." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 1 | | effectiveRatio | 0.8 | |