| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said aloud [aloud]" |
| | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.5 | | effectiveRatio | 0.333 | |
| 85.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1362 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "really" | | 1 | "carefully" | | 2 | "slightly" | | 3 | "perfectly" |
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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) | |
| 55.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1362 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "silence" | | 1 | "familiar" | | 2 | "ceaseless" | | 3 | "loomed" | | 4 | "throbbed" | | 5 | "searing" | | 6 | "whisper" | | 7 | "echoed" | | 8 | "chill" | | 9 | "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 | 168 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 168 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 173 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1351 | | ratio | 0.001 | | matches | | |
| 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 | 23 | | wordCount | 1324 | | uniqueNames | 8 | | maxNameDensity | 0.98 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Park | 1 | | London | 1 | | Silas | 2 | | Heartstone | 3 | | Pendant | 1 | | Eva | 1 | | October | 1 | | Rory | 13 |
| | persons | | 0 | "Silas" | | 1 | "Pendant" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like it had been stitched together" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.74 | | wordCount | 1351 | | matches | | 0 | "not at her, but at the ground beneath her feet" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 173 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 78 | | mean | 17.32 | | std | 12.67 | | cv | 0.732 | | sampleLengths | | 0 | 56 | | 1 | 13 | | 2 | 24 | | 3 | 35 | | 4 | 42 | | 5 | 6 | | 6 | 18 | | 7 | 10 | | 8 | 50 | | 9 | 6 | | 10 | 58 | | 11 | 31 | | 12 | 7 | | 13 | 10 | | 14 | 29 | | 15 | 10 | | 16 | 5 | | 17 | 19 | | 18 | 1 | | 19 | 16 | | 20 | 14 | | 21 | 24 | | 22 | 32 | | 23 | 8 | | 24 | 11 | | 25 | 1 | | 26 | 6 | | 27 | 1 | | 28 | 23 | | 29 | 19 | | 30 | 35 | | 31 | 1 | | 32 | 14 | | 33 | 3 | | 34 | 34 | | 35 | 12 | | 36 | 5 | | 37 | 29 | | 38 | 5 | | 39 | 32 | | 40 | 14 | | 41 | 4 | | 42 | 25 | | 43 | 13 | | 44 | 4 | | 45 | 16 | | 46 | 19 | | 47 | 9 | | 48 | 9 | | 49 | 33 |
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| 88.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 8 | | totalSentences | 168 | | matches | | 0 | "was crumpled" | | 1 | "was swallowed" | | 2 | "was gone" | | 3 | "been stitched" | | 4 | "were gone" | | 5 | "was blocked" | | 6 | "was gone" | | 7 | "were gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 13 | | totalVerbs | 239 | | matches | | 0 | "were vibrating" | | 1 | "was searing" | | 2 | "was screaming" | | 3 | "weren't moving" | | 4 | "wasn't coming" | | 5 | "was coming" | | 6 | "were pushing" | | 7 | "were clustering" | | 8 | "was groaning" | | 9 | "were facing" | | 10 | "was opening" | | 11 | "was pointing" |
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| 60.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 173 | | ratio | 0.029 | | matches | | 0 | "The familiar hum of the city—sirens, distant traffic, the ceaseless drone of London—had evaporated." | | 1 | "They glowed with a faint, sickly luminescence—ultraviolet pinks and toxic greens that hurt the eyes if stared at for too long." | | 2 | "They weren't blooming; they were vibrating." | | 3 | "It raised one long, spindly arm and pointed a finger—not at her, but at the ground beneath her feet." | | 4 | "Hands—small, translucent, child-sized—were pushing up through the soil." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 111 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 1 | | adverbRatio | 0.009009009009009009 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 173 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 173 | | mean | 7.81 | | std | 4.99 | | cv | 0.639 | | sampleLengths | | 0 | 7 | | 1 | 11 | | 2 | 24 | | 3 | 14 | | 4 | 5 | | 5 | 8 | | 6 | 8 | | 7 | 2 | | 8 | 8 | | 9 | 6 | | 10 | 10 | | 11 | 12 | | 12 | 7 | | 13 | 4 | | 14 | 2 | | 15 | 3 | | 16 | 15 | | 17 | 16 | | 18 | 8 | | 19 | 6 | | 20 | 3 | | 21 | 5 | | 22 | 10 | | 23 | 3 | | 24 | 7 | | 25 | 7 | | 26 | 8 | | 27 | 23 | | 28 | 12 | | 29 | 6 | | 30 | 4 | | 31 | 7 | | 32 | 16 | | 33 | 10 | | 34 | 21 | | 35 | 13 | | 36 | 6 | | 37 | 12 | | 38 | 2 | | 39 | 4 | | 40 | 1 | | 41 | 4 | | 42 | 6 | | 43 | 9 | | 44 | 19 | | 45 | 1 | | 46 | 5 | | 47 | 2 | | 48 | 3 | | 49 | 5 |
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| 39.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.28901734104046245 | | totalSentences | 173 | | uniqueOpeners | 50 | |
| 87.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 153 | | matches | | 0 | "Just a pale battery icon" | | 1 | "Just the standing stones, silent" | | 2 | "Just a smooth, pale oval" | | 3 | "Then, the bark began to" |
| | ratio | 0.026 | |
| 63.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 60 | | totalSentences | 153 | | matches | | 0 | "It pressed against her eardrums" | | 1 | "She checked the glowing face" | | 2 | "She shoved it into her" | | 3 | "He hadn't wanted to give" | | 4 | "They were massive oaks, really," | | 5 | "They formed a rough circle," | | 6 | "She stepped between two towering" | | 7 | "She clutched the silver chain" | | 8 | "It hadn't done that since" | | 9 | "She moved deeper into the" | | 10 | "It was late October, the" | | 11 | "They glowed with a faint," | | 12 | "They weren't blooming; they were" | | 13 | "She knelt, ignoring the damp" | | 14 | "She brushed her thumb over" | | 15 | "she said aloud" | | 16 | "Her voice sounded thin." | | 17 | "She turned back to the" | | 18 | "She needed to dig." | | 19 | "She needed to find what" |
| | ratio | 0.392 | |
| 28.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 132 | | totalSentences | 153 | | matches | | 0 | "The air tasted of copper" | | 1 | "Rory pulled her jacket tighter," | | 2 | "Richmond Park stretched out around" | | 3 | "The familiar hum of the" | | 4 | "Here, the quiet was heavy." | | 5 | "It pressed against her eardrums" | | 6 | "She checked the glowing face" | | 7 | "She shoved it into her" | | 8 | "The map Silas had drawn" | | 9 | "He hadn't wanted to give" | | 10 | "People didn’t come here." | | 11 | "Rory looked up." | | 12 | "The standing stones loomed out" | | 13 | "They were massive oaks, really," | | 14 | "They formed a rough circle," | | 15 | "She stepped between two towering" | | 16 | "The temperature dropped." | | 17 | "The breath hitched in her" | | 18 | "The sound was swallowed by" | | 19 | "The Heartstone Pendant beneath her" |
| | ratio | 0.863 | |
| 32.68% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 153 | | matches | | 0 | "If the path was blocked," |
| | ratio | 0.007 | |
| 50.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 7 | | matches | | 0 | "They glowed with a faint, sickly luminescence—ultraviolet pinks and toxic greens that hurt the eyes if stared at for too long." | | 1 | "They were twisting, stems knotting together, petals opening wide to reveal centres that weren't pollen, but raw, red flesh." | | 2 | "A thousand voices overlapping, speaking a language that scratched at the primal part of her brain." | | 3 | "Rory slammed into the barrier, thorns tearing at her jacket, scratching her cheek." | | 4 | "It wore a suit that looked like it had been stitched together from rags, hanging loose on its skeletal frame." | | 5 | "She gritted her teeth, kicking furiously at the tree trunk, finding purchase on knots and gnarls." | | 6 | "The branch she held onto thickened, the wood shifting under her grip, trying to engulf her hand." |
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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 | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.5 | | effectiveRatio | 0.333 | |