| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1129 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 1129 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "silence" | | 1 | "pounding" | | 2 | "flickered" | | 3 | "reminder" | | 4 | "pulse" | | 5 | "echoed" | | 6 | "measured" | | 7 | "shimmered" | | 8 | "stomach" | | 9 | "throbbed" | | 10 | "warmth" | | 11 | "etched" | | 12 | "pulsed" | | 13 | "raced" | | 14 | "whisper" | | 15 | "trembled" | | 16 | "echoes" | | 17 | "gloom" |
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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 | 174 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 174 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1115 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1110 | | uniqueNames | 6 | | maxNameDensity | 0.63 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 4 | | Fae-touched | 1 | | Silence | 1 | | Rory | 1 | | Eva | 1 | | Aurora | 7 |
| | persons | | 0 | "Heartstone" | | 1 | "Silence" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Aurora" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.897 | | wordCount | 1115 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 175 | | matches | (empty) | |
| 44.47% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 33.79 | | std | 10.33 | | cv | 0.306 | | sampleLengths | | 0 | 12 | | 1 | 48 | | 2 | 44 | | 3 | 46 | | 4 | 38 | | 5 | 33 | | 6 | 39 | | 7 | 40 | | 8 | 35 | | 9 | 9 | | 10 | 38 | | 11 | 26 | | 12 | 20 | | 13 | 40 | | 14 | 25 | | 15 | 7 | | 16 | 43 | | 17 | 39 | | 18 | 42 | | 19 | 46 | | 20 | 40 | | 21 | 39 | | 22 | 43 | | 23 | 32 | | 24 | 40 | | 25 | 25 | | 26 | 41 | | 27 | 35 | | 28 | 23 | | 29 | 33 | | 30 | 32 | | 31 | 31 | | 32 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 174 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 230 | | matches | (empty) | |
| 12.24% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 175 | | ratio | 0.046 | | matches | | 0 | "Moonlight didn’t belong here; light shifted strangely under the boughs." | | 1 | "Moonbeams slanted through the canopy and she made out shapes—tall and slender, limbs faintly luminous, like reflections in disturbed water." | | 2 | "The pulse grew stronger, slower—almost deliberate." | | 3 | "A hand—slender, pale as bone—snaked out." | | 4 | "Shapes emerged—thin legs, spindly arms, eyes like polished jet." | | 5 | "Hands grasped her shoulders; strength like iron held her fast." | | 6 | "It pulsed once more—steady, calm." | | 7 | "For a heartbeat she thought she saw a face—pale skin and too-wide grin—peering from the gloom." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1124 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 38 | | adverbRatio | 0.033807829181494664 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004448398576512456 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 6.37 | | std | 3.62 | | cv | 0.569 | | sampleLengths | | 0 | 7 | | 1 | 5 | | 2 | 20 | | 3 | 12 | | 4 | 16 | | 5 | 8 | | 6 | 11 | | 7 | 11 | | 8 | 8 | | 9 | 6 | | 10 | 11 | | 11 | 10 | | 12 | 17 | | 13 | 6 | | 14 | 2 | | 15 | 1 | | 16 | 6 | | 17 | 8 | | 18 | 8 | | 19 | 1 | | 20 | 5 | | 21 | 4 | | 22 | 5 | | 23 | 7 | | 24 | 5 | | 25 | 12 | | 26 | 5 | | 27 | 2 | | 28 | 2 | | 29 | 8 | | 30 | 3 | | 31 | 7 | | 32 | 5 | | 33 | 4 | | 34 | 4 | | 35 | 4 | | 36 | 4 | | 37 | 10 | | 38 | 2 | | 39 | 3 | | 40 | 8 | | 41 | 3 | | 42 | 14 | | 43 | 4 | | 44 | 3 | | 45 | 5 | | 46 | 7 | | 47 | 6 | | 48 | 7 | | 49 | 3 |
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| 38.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.2742857142857143 | | totalSentences | 175 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 152 | | matches | | 0 | "Instead she felt intruders closing" | | 1 | "Once, time might stretch or" | | 2 | "Then came a low chuckle" | | 3 | "Just her childhood nickname." | | 4 | "Just petals drifting like pale" | | 5 | "Then silence swallowed the grove" | | 6 | "Only the monstrous hush of" | | 7 | "Then it vanished." |
| | ratio | 0.053 | |
| 72.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 152 | | matches | | 0 | "She pressed her back against" | | 1 | "She’d come to this Fae-touched" | | 2 | "She rose on silent feet," | | 3 | "She fingered the small crescent-shaped" | | 4 | "She stepped forward, branches snagging" | | 5 | "She shook her head." | | 6 | "She refused to imagine worse." | | 7 | "Her fingers tightened around it." | | 8 | "She had to trust it." | | 9 | "She’d read the lore." | | 10 | "She’d thought she prepared." | | 11 | "She sensed it now." | | 12 | "Her breathing hitched." | | 13 | "Her eyes darted between standing" | | 14 | "She forced herself forward." | | 15 | "She knelt and touched a" | | 16 | "It snapped upright, petals snapping" | | 17 | "She jerked back." | | 18 | "Her voice scraped the stillness" | | 19 | "She swallowed against the lump" |
| | ratio | 0.368 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 128 | | totalSentences | 152 | | matches | | 0 | "A dry snap cracked through" | | 1 | "Aurora froze, every nerve alight." | | 2 | "She pressed her back against" | | 3 | "The slim silver chain of" | | 4 | "A faint inner glow flickered" | | 5 | "Aurora risked a glance across" | | 6 | "Wildflowers brushed her ankles, their" | | 7 | "She’d come to this Fae-touched" | | 8 | "She rose on silent feet," | | 9 | "Moonlight didn’t belong here; light" | | 10 | "She fingered the small crescent-shaped" | | 11 | "A fresh rustle rose behind" | | 12 | "The path she’d followed lay" | | 13 | "She stepped forward, branches snagging" | | 14 | "A cold scent of metal" | | 15 | "She shook her head." | | 16 | "She refused to imagine worse." | | 17 | "A faint pulse flared in" | | 18 | "Her fingers tightened around it." | | 19 | "The glow bit through the" |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 152 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "A faint inner glow flickered within the deep crimson gem, as though it sought something unseen." | | 1 | "Her eyes darted between standing stones that shifted at the corner of her sight." |
| |
| 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 | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |