| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 2 | | adverbTags | | 0 | "The customer’s note had simply [simply]" | | 1 | "The pendant’s origin marked only [only]" |
| | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |
| 86.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1514 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "gently" | | 2 | "tightly" | | 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) | |
| 47.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1514 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "scanning" | | 1 | "pulse" | | 2 | "traced" | | 3 | "throbbed" | | 4 | "stomach" | | 5 | "resolved" | | 6 | "lilt" | | 7 | "footsteps" | | 8 | "perfect" | | 9 | "glistening" | | 10 | "echo" | | 11 | "raced" | | 12 | "tracing" |
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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 | 129 | | matches | (empty) | |
| 98.56% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1514 | | ratio | 0 | | matches | (empty) | |
| 89.29% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 1 | | matches | | 0 | "Answers, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1462 | | uniqueNames | 10 | | maxNameDensity | 0.62 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Yu-Fei | 1 | | Richmond | 1 | | Park | 1 | | Cardiff | 1 | | Welsh | 1 | | Eva | 3 | | Silas | 1 | | Rory | 9 | | London | 1 | | Evan | 1 |
| | persons | | 0 | "Yu-Fei" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 79.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 106 | | glossingSentenceCount | 3 | | matches | | 0 | "as though trying to root itself in the earth" | | 1 | "something like a voice, too many syllables l" | | 2 | "seemed farther away than before, as though the clearing expanded even as it trapped her" |
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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 | 1514 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 135 | | matches | | 0 | "whispering that some" | | 1 | "knew that name" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 42.06 | | std | 26.91 | | cv | 0.64 | | sampleLengths | | 0 | 48 | | 1 | 62 | | 2 | 50 | | 3 | 86 | | 4 | 65 | | 5 | 64 | | 6 | 89 | | 7 | 82 | | 8 | 39 | | 9 | 1 | | 10 | 42 | | 11 | 1 | | 12 | 76 | | 13 | 81 | | 14 | 43 | | 15 | 58 | | 16 | 16 | | 17 | 1 | | 18 | 64 | | 19 | 73 | | 20 | 35 | | 21 | 48 | | 22 | 17 | | 23 | 31 | | 24 | 56 | | 25 | 56 | | 26 | 6 | | 27 | 17 | | 28 | 58 | | 29 | 39 | | 30 | 6 | | 31 | 7 | | 32 | 56 | | 33 | 24 | | 34 | 6 | | 35 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 262 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 135 | | ratio | 0 | | matches | (empty) | |
| 95.58% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1465 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 66 | | adverbRatio | 0.04505119453924915 | | lyAdverbCount | 25 | | lyAdverbRatio | 0.017064846416382253 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 11.21 | | std | 6.36 | | cv | 0.567 | | sampleLengths | | 0 | 11 | | 1 | 18 | | 2 | 19 | | 3 | 21 | | 4 | 9 | | 5 | 4 | | 6 | 5 | | 7 | 23 | | 8 | 11 | | 9 | 2 | | 10 | 1 | | 11 | 16 | | 12 | 20 | | 13 | 9 | | 14 | 21 | | 15 | 29 | | 16 | 21 | | 17 | 4 | | 18 | 2 | | 19 | 16 | | 20 | 8 | | 21 | 19 | | 22 | 22 | | 23 | 7 | | 24 | 24 | | 25 | 11 | | 26 | 7 | | 27 | 15 | | 28 | 8 | | 29 | 2 | | 30 | 1 | | 31 | 4 | | 32 | 10 | | 33 | 19 | | 34 | 4 | | 35 | 9 | | 36 | 16 | | 37 | 16 | | 38 | 8 | | 39 | 13 | | 40 | 7 | | 41 | 18 | | 42 | 36 | | 43 | 16 | | 44 | 14 | | 45 | 9 | | 46 | 1 | | 47 | 3 | | 48 | 11 | | 49 | 14 |
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| 39.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.28888888888888886 | | totalSentences | 135 | | uniqueOpeners | 39 | |
| 56.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 119 | | matches | | 0 | "Only the flowers, still now," | | 1 | "Instead, more flowers filled the" |
| | ratio | 0.017 | |
| 78.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 119 | | matches | | 0 | "She stumbled into the clearing," | | 1 | "She straightened slowly, scanning the" | | 2 | "Her wrist itched beneath the" | | 3 | "She flexed her fingers, forcing" | | 4 | "She took three careful steps" | | 5 | "She stopped beside the second" | | 6 | "Its surface carried faint carvings" | | 7 | "She traced one groove with" | | 8 | "She whipped her head around," | | 9 | "Her mouth went dry." | | 10 | "She had crossed the boundary" | | 11 | "She planted her feet, refusing" | | 12 | "She remembered the childhood accident" | | 13 | "It resolved into something like" | | 14 | "Her name threaded through the" | | 15 | "She jerked backward." | | 16 | "It carried the cadence of" | | 17 | "She clamped her hands over" | | 18 | "She dropped her hands and" | | 19 | "She forced her mind to" |
| | ratio | 0.353 | |
| 14.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 119 | | matches | | 0 | "Rory shoved through the tangle" | | 1 | "The pendant flared hot against" | | 2 | "She stumbled into the clearing," | | 3 | "The wildflowers brushed her knees," | | 4 | "She straightened slowly, scanning the" | | 5 | "This was the place." | | 6 | "The heart of the grove." | | 7 | "The silver chain grew slick" | | 8 | "A soft rustle sounded behind" | | 9 | "Her wrist itched beneath the" | | 10 | "She flexed her fingers, forcing" | | 11 | "The delivery run had ended" | | 12 | "The customer’s note had simply" | | 13 | "Rory had come because the" | | 14 | "Another rustle, closer this time," | | 15 | "The flowers remained motionless under" | | 16 | "She took three careful steps" | | 17 | "The itch in her wrist" | | 18 | "She stopped beside the second" | | 19 | "Its surface carried faint carvings" |
| | ratio | 0.891 | |
| 42.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 119 | | matches | | 0 | "Now Rory wondered what else" |
| | ratio | 0.008 | |
| 32.19% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 71 | | technicalSentenceCount | 11 | | matches | | 0 | "Rory shoved through the tangle of vines that snagged her jacket." | | 1 | "Only the flowers, still now, their petals half-closed as though they had never moved at all." | | 2 | "Her wrist itched beneath the small crescent scar, the old mark flaring with sudden heat that matched the pendant’s rhythm." | | 3 | "The itch in her wrist spread up her arm, a crawling sensation that made her want to claw at her own skin." | | 4 | "Its surface carried faint carvings she had not noticed on her first pass, whorls that resembled eyes if she tilted her head just so." | | 5 | "The scar on her wrist throbbed in time with the stone’s pulse, a synchrony that turned her stomach." | | 6 | "Her wrist burned now, the scar pulling tight as though something beneath the skin sought release." | | 7 | "Its wrist bore a crescent scar that bled freely, the blood running upward against gravity to stain the sleeve." | | 8 | "Their movements mirrored perfectly except for the smile, which grew wider still, revealing teeth that seemed too numerous." | | 9 | "Her wrist bled steadily now, the blood tracing patterns on her skin that resembled the carvings on the stones." | | 10 | "The humming returned, louder, accompanied by dozens of footsteps that matched her own rhythm exactly." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "The customer’s note had simply (have)" | | 1 | "it whispered (whisper)" |
| | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.667 | | effectiveRatio | 0.4 | |