| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 89.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1477 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "slowly" | | 1 | "deliberately" | | 2 | "softly" |
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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) | |
| 28.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1477 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "warmth" | | 1 | "rhythmic" | | 2 | "pulse" | | 3 | "magnetic" | | 4 | "chill" | | 5 | "comforting" | | 6 | "echo" | | 7 | "whisper" | | 8 | "trembled" | | 9 | "weight" | | 10 | "vibrated" | | 11 | "footsteps" | | 12 | "measured" | | 13 | "calculating" | | 14 | "could feel" | | 15 | "silence" | | 16 | "loomed" |
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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 | 1 | | narrationSentences | 196 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 196 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 196 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1477 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 1477 | | uniqueNames | 7 | | maxNameDensity | 0.68 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 1 | | Rory | 10 | | Heartstone | 1 | | Silas | 1 | | English | 1 | | Welsh | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like her name, but stretched, dist" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.677 | | wordCount | 1477 | | matches | | 0 | "Not a winter chill, but a vacuum, as if the grove had exhaled" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 196 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 50.93 | | std | 38.3 | | cv | 0.752 | | sampleLengths | | 0 | 103 | | 1 | 78 | | 2 | 7 | | 3 | 89 | | 4 | 97 | | 5 | 66 | | 6 | 6 | | 7 | 59 | | 8 | 4 | | 9 | 10 | | 10 | 118 | | 11 | 52 | | 12 | 7 | | 13 | 104 | | 14 | 6 | | 15 | 63 | | 16 | 57 | | 17 | 4 | | 18 | 69 | | 19 | 84 | | 20 | 9 | | 21 | 97 | | 22 | 3 | | 23 | 65 | | 24 | 7 | | 25 | 94 | | 26 | 5 | | 27 | 57 | | 28 | 57 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 196 | | matches | | 0 | "been locked" | | 1 | "being told" |
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| 93.33% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 250 | | matches | | 0 | "were swallowing" | | 1 | "was slipping" | | 2 | "were untethering" | | 3 | "was standing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 196 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1482 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.02496626180836707 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006747638326585695 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 196 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 196 | | mean | 7.54 | | std | 6.34 | | cv | 0.841 | | sampleLengths | | 0 | 21 | | 1 | 14 | | 2 | 19 | | 3 | 15 | | 4 | 9 | | 5 | 25 | | 6 | 27 | | 7 | 3 | | 8 | 4 | | 9 | 25 | | 10 | 4 | | 11 | 6 | | 12 | 9 | | 13 | 7 | | 14 | 3 | | 15 | 19 | | 16 | 21 | | 17 | 7 | | 18 | 19 | | 19 | 5 | | 20 | 5 | | 21 | 10 | | 22 | 5 | | 23 | 2 | | 24 | 2 | | 25 | 26 | | 26 | 5 | | 27 | 2 | | 28 | 20 | | 29 | 12 | | 30 | 16 | | 31 | 4 | | 32 | 2 | | 33 | 1 | | 34 | 5 | | 35 | 25 | | 36 | 3 | | 37 | 2 | | 38 | 7 | | 39 | 24 | | 40 | 6 | | 41 | 2 | | 42 | 10 | | 43 | 4 | | 44 | 6 | | 45 | 17 | | 46 | 5 | | 47 | 5 | | 48 | 8 | | 49 | 2 |
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| 40.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.3112244897959184 | | totalSentences | 196 | | uniqueOpeners | 61 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 158 | | matches | | 0 | "Then she saw them: the" | | 1 | "Instead, they turned their faces" | | 2 | "Just a pull she could" | | 3 | "Just the wet hush of" | | 4 | "Directly behind her right shoulder." | | 5 | "Just the flowers, swaying in" | | 6 | "Even the pendant's hum faded" |
| | ratio | 0.044 | |
| 70.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 59 | | totalSentences | 158 | | matches | | 0 | "She slipped through the gap," | | 1 | "She adjusted the strap of" | | 2 | "It had been twitching with" | | 3 | "She followed it past the" | | 4 | "They marked the boundary." | | 5 | "She stepped between the two" | | 6 | "They should have been dormant." | | 7 | "They should have been dead." | | 8 | "She had spent years learning" | | 9 | "She rubbed the crescent scar" | | 10 | "It was warmer now." | | 11 | "She came here for answers." | | 12 | "She turned her head slowly." | | 13 | "She took another step." | | 14 | "She kept her eyes forward," | | 15 | "Her mind catalogued the acoustics." | | 16 | "It did not decay." | | 17 | "It landed flat, as if" | | 18 | "She reached into her pocket" | | 19 | "She had entered the park" |
| | ratio | 0.373 | |
| 29.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 136 | | totalSentences | 158 | | matches | | 0 | "The iron gate to Richmond" | | 1 | "She slipped through the gap," | | 2 | "The city hum faded behind" | | 3 | "She adjusted the strap of" | | 4 | "The Heartstone pendant rested there," | | 5 | "It had been twitching with" | | 6 | "She followed it past the" | | 7 | "The trees thinned." | | 8 | "The air grew still." | | 9 | "They marked the boundary." | | 10 | "Rory knew it without being" | | 11 | "The knowledge sat in her" | | 12 | "She stepped between the two" | | 13 | "The temperature dropped." | | 14 | "Moonlight spilled into the clearing," | | 15 | "Wildflowers carpeted the earth in" | | 16 | "Foxgloves, bluebells, campion, and things" | | 17 | "They should have been dormant." | | 18 | "They should have been dead." | | 19 | "Rory kept her pace even." |
| | ratio | 0.861 | |
| 94.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 158 | | matches | | 0 | "Now, standing in the heart" | | 1 | "If she ran, she would" | | 2 | "If she screamed, the sound" |
| | ratio | 0.019 | |
| 11.66% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 9 | | matches | | 0 | "It had been twitching with warmth since dusk, a slow, rhythmic pulse that drew her westward like a compass needle caught in a magnetic storm." | | 1 | "She followed it past the deer trails and the abandoned ranger posts, boots sinking into leaf litter that smelled of decay and something sweeter, like crushed fe…" | | 2 | "Then she saw them: the ancient oak standing stones, warped and blackened by centuries, arranged in a ragged circle that defied the park's careful landscaping." | | 3 | "She rubbed the crescent scar on her left wrist, a childhood habit that grounded her, and focused on the pendant." | | 4 | "It landed flat, as if the air itself were swallowing the vibration." | | 5 | "She felt the truth of it in her joints, a subtle loosening, as if her skeleton were untethering from the calendar." | | 6 | "The pendant burned hotter, a dry heat that seeped through her shirt and pressed against her sternum." | | 7 | "It was a physical weight, a pressure against her eardrums, a prickle along her spine that told her something stood just beyond the edge of her vision." | | 8 | "She could feel the displacement of air, the subtle shift in pressure that meant something stood inches from her back." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |