| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1001 | | 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) | |
| 10.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1001 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "pulsed" | | 1 | "rhythmic" | | 2 | "pulse" | | 3 | "searing" | | 4 | "warmth" | | 5 | "oppressive" | | 6 | "quivered" | | 7 | "scanned" | | 8 | "stomach" | | 9 | "churned" | | 10 | "chill" | | 11 | "weight" | | 12 | "silence" | | 13 | "flicker" | | 14 | "vibrated" | | 15 | "trembled" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
| | 1 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | 0 | "knuckles turned white" | | 1 | "stomach dropped" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 119 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 7 | | totalWords | 1001 | | ratio | 0.007 | | matches | | 0 | "crack" | | 1 | "tear" | | 2 | "Thud-thud." | | 3 | "clicked-clacked" | | 4 | "slurped-glugged" | | 5 | "snap-crackles" | | 6 | "Tap-tap-tap." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 802 | | uniqueNames | 7 | | maxNameDensity | 1.5 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 4 | | Fae | 1 | | Grove | 2 | | Richmond | 1 | | Park | 1 | | Hel | 1 | | Rory | 12 |
| | persons | | | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" |
| | globalScore | 0.752 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.999 | | wordCount | 1001 | | matches | | 0 | "not from wind, but from a low-frequency vibration" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 141 | | matches | | 0 | "knew that luminescence" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 26.34 | | std | 21.06 | | cv | 0.799 | | sampleLengths | | 0 | 60 | | 1 | 58 | | 2 | 72 | | 3 | 67 | | 4 | 53 | | 5 | 72 | | 6 | 73 | | 7 | 1 | | 8 | 36 | | 9 | 15 | | 10 | 6 | | 11 | 6 | | 12 | 25 | | 13 | 12 | | 14 | 29 | | 15 | 30 | | 16 | 21 | | 17 | 9 | | 18 | 30 | | 19 | 16 | | 20 | 21 | | 21 | 17 | | 22 | 16 | | 23 | 20 | | 24 | 16 | | 25 | 20 | | 26 | 34 | | 27 | 19 | | 28 | 9 | | 29 | 38 | | 30 | 4 | | 31 | 3 | | 32 | 3 | | 33 | 37 | | 34 | 7 | | 35 | 19 | | 36 | 24 | | 37 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 119 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 141 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 811 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.027127003699136867 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012330456226880395 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 7.1 | | std | 4.56 | | cv | 0.642 | | sampleLengths | | 0 | 10 | | 1 | 8 | | 2 | 16 | | 3 | 7 | | 4 | 7 | | 5 | 12 | | 6 | 11 | | 7 | 11 | | 8 | 21 | | 9 | 15 | | 10 | 7 | | 11 | 13 | | 12 | 5 | | 13 | 19 | | 14 | 4 | | 15 | 2 | | 16 | 7 | | 17 | 15 | | 18 | 4 | | 19 | 10 | | 20 | 6 | | 21 | 1 | | 22 | 1 | | 23 | 1 | | 24 | 3 | | 25 | 11 | | 26 | 1 | | 27 | 10 | | 28 | 7 | | 29 | 12 | | 30 | 3 | | 31 | 3 | | 32 | 10 | | 33 | 4 | | 34 | 10 | | 35 | 6 | | 36 | 2 | | 37 | 7 | | 38 | 4 | | 39 | 4 | | 40 | 7 | | 41 | 2 | | 42 | 2 | | 43 | 1 | | 44 | 1 | | 45 | 19 | | 46 | 12 | | 47 | 6 | | 48 | 6 | | 49 | 7 |
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| 49.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.37142857142857144 | | totalSentences | 140 | | uniqueOpeners | 52 | |
| 96.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 104 | | matches | | 0 | "Then her left." | | 1 | "Then behind her." | | 2 | "Only a hollow space in" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 104 | | matches | | 0 | "She held her breath until" | | 1 | "Her boots scrabbled against the" | | 2 | "She closed her eyes, centre" | | 3 | "She scanned the perimeter." | | 4 | "Her stomach dropped." | | 5 | "She checked the heavy-duty buckle" | | 6 | "Her multi-tool *clicked-clacked* open." | | 7 | "She crept forward, keeping her" | | 8 | "It held its breath." | | 9 | "She raised the multi-tool, angling" | | 10 | "She kept her eyes locked" | | 11 | "She glanced at her wrist." | | 12 | "She knew that luminescence marked" | | 13 | "She needed to find the" | | 14 | "It sat three paces to" | | 15 | "She didn't turn." | | 16 | "She swung the multi-tool low," | | 17 | "She shifted her stance, knees" | | 18 | "She gripped the multi-tool tighter" | | 19 | "Her knuckles turned white." |
| | ratio | 0.212 | |
| 46.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 104 | | matches | | 0 | "Rory skidded behind the moss-slicked" | | 1 | "She held her breath until" | | 2 | "Her boots scrabbled against the" | | 3 | "The wet, muscular *tear* of" | | 4 | "She closed her eyes, centre" | | 5 | "The silver chain around her" | | 6 | "The thumb-sized deep crimson gemstone" | | 7 | "*Thud-thud.* The Heartstone burned through" | | 8 | "Rory risked a glance toward" | | 9 | "The Fae Grove stretched out" | | 10 | "The wildflowers bled impossible hues." | | 11 | "The colours looked wrong." | | 12 | "The petals quivered, not from" | | 13 | "She scanned the perimeter." | | 14 | "Rory counted them in her" | | 15 | "Her stomach dropped." | | 16 | "The fourth stone, the marker" | | 17 | "The earth around the displaced" | | 18 | "Rory didn't panic." | | 19 | "Panic consumed oxygen." |
| | ratio | 0.827 | |
| 48.08% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 104 | | matches | | 0 | "As if something massive had" |
| | ratio | 0.01 | |
| 44.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 4 | | matches | | 0 | "The thumb-sized deep crimson gemstone pulsed against her sternum, driving a rhythmic heat that matched the frantic drum of her pulse." | | 1 | "Pale bluebells and blood-red poppies bloomed year-round, untouched by the frost that gnawed at the edges of Richmond Park." | | 2 | "The petals quivered, not from wind, but from a low-frequency vibration that rattled her jaw." | | 3 | "The inner glow intensified, casting a sickly red aura that swallowed her hands." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |