| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 44 | | adverbTagCount | 3 | | adverbTags | | 0 | "She looked around [around]" | | 1 | "The answer arrived like [like]" | | 2 | "Silas said suddenly [suddenly]" |
| | dialogueSentences | 100 | | tagDensity | 0.44 | | leniency | 0.88 | | rawRatio | 0.068 | | effectiveRatio | 0.06 | |
| 82.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2601 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "quickly" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "suddenly" | | 4 | "very" | | 5 | "softly" | | 6 | "purposely" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 63.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2601 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "weight" | | 1 | "silence" | | 2 | "scanning" | | 3 | "traced" | | 4 | "enigma" | | 5 | "facade" | | 6 | "tension" | | 7 | "trembled" | | 8 | "whisper" | | 9 | "echoed" |
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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 | 127 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 127 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 183 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2591 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 32 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1411 | | uniqueNames | 3 | | maxNameDensity | 1.84 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Silas" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.579 | | windowScore | 0.333 | |
| 43.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | glossingSentenceCount | 4 | | matches | | 0 | "sounded like a test" | | 1 | "as if throwing a rope" | | 2 | "as if measuring the distance between what was said and what remained" | | 3 | "quite become a gesture" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.386 | | wordCount | 2591 | | matches | | 0 | "neither accusation nor" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 183 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 75 | | mean | 34.55 | | std | 17.95 | | cv | 0.52 | | sampleLengths | | 0 | 74 | | 1 | 93 | | 2 | 75 | | 3 | 21 | | 4 | 39 | | 5 | 25 | | 6 | 18 | | 7 | 28 | | 8 | 20 | | 9 | 48 | | 10 | 20 | | 11 | 26 | | 12 | 65 | | 13 | 43 | | 14 | 20 | | 15 | 6 | | 16 | 33 | | 17 | 22 | | 18 | 47 | | 19 | 19 | | 20 | 22 | | 21 | 16 | | 22 | 22 | | 23 | 36 | | 24 | 55 | | 25 | 54 | | 26 | 7 | | 27 | 24 | | 28 | 29 | | 29 | 48 | | 30 | 34 | | 31 | 22 | | 32 | 15 | | 33 | 3 | | 34 | 45 | | 35 | 19 | | 36 | 63 | | 37 | 30 | | 38 | 32 | | 39 | 44 | | 40 | 50 | | 41 | 45 | | 42 | 16 | | 43 | 9 | | 44 | 29 | | 45 | 18 | | 46 | 57 | | 47 | 28 | | 48 | 59 | | 49 | 55 |
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| 91.45% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 127 | | matches | | 0 | "been expected" | | 1 | "been promised" | | 2 | "been carved" | | 3 | "was said" | | 4 | "been creased" |
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| 96.24% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 257 | | matches | | 0 | "was polishing" | | 1 | "was trying" | | 2 | "were shrugging" | | 3 | "were watching" |
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| 96.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 183 | | ratio | 0.016 | | matches | | 0 | "He had been the one to tell her not to cut her hair for law interviews; she had ignored him." | | 1 | "Rory's laugh came out small—astonished and almost grateful." | | 2 | "They did not close the distance; they did not stitch old seams together." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1416 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.03248587570621469 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.009180790960451978 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 183 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 183 | | mean | 14.16 | | std | 8.7 | | cv | 0.615 | | sampleLengths | | 0 | 12 | | 1 | 22 | | 2 | 7 | | 3 | 17 | | 4 | 16 | | 5 | 24 | | 6 | 12 | | 7 | 39 | | 8 | 18 | | 9 | 19 | | 10 | 22 | | 11 | 34 | | 12 | 21 | | 13 | 14 | | 14 | 14 | | 15 | 11 | | 16 | 17 | | 17 | 8 | | 18 | 3 | | 19 | 8 | | 20 | 7 | | 21 | 4 | | 22 | 5 | | 23 | 7 | | 24 | 12 | | 25 | 11 | | 26 | 9 | | 27 | 14 | | 28 | 15 | | 29 | 19 | | 30 | 16 | | 31 | 4 | | 32 | 15 | | 33 | 11 | | 34 | 16 | | 35 | 6 | | 36 | 6 | | 37 | 20 | | 38 | 17 | | 39 | 4 | | 40 | 19 | | 41 | 20 | | 42 | 7 | | 43 | 13 | | 44 | 3 | | 45 | 3 | | 46 | 25 | | 47 | 8 | | 48 | 18 | | 49 | 4 |
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| 41.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.29508196721311475 | | totalSentences | 183 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 45.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 108 | | matches | | 0 | "It cast a sickly light" | | 1 | "He had the habit of" | | 2 | "He kept an ear for" | | 3 | "She came in smelling faintly" | | 4 | "Her black hair cut at" | | 5 | "Her wrist, tucked under the" | | 6 | "Her voice had matured into" | | 7 | "It struck cleanly, without the" | | 8 | "His fingers tightened once on" | | 9 | "She gave a small laugh" | | 10 | "He set the glass down" | | 11 | "She looked around like she" | | 12 | "His fingers marked a line" | | 13 | "She pushed a strand of" | | 14 | "He remembered her in suits," | | 15 | "He had been the one" | | 16 | "He let that sit like" | | 17 | "Her shoulders lifted as if" | | 18 | "He tapped the ring on" | | 19 | "She rolled her wrist, exposing" |
| | ratio | 0.435 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 103 | | totalSentences | 108 | | matches | | 0 | "The green neon above the" | | 1 | "It cast a sickly light" | | 2 | "Maps crowded the walls, their" | | 3 | "Silas stood behind the counter," | | 4 | "The signet ring on his" | | 5 | "He had the habit of" | | 6 | "He kept an ear for" | | 7 | "The door opened and closed" | | 8 | "She came in smelling faintly" | | 9 | "Her black hair cut at" | | 10 | "Silas folded the towel and" | | 11 | "Rory stopped in the middle" | | 12 | "Her wrist, tucked under the" | | 13 | "Silas steadied the glass he" | | 14 | "The room shrank to the" | | 15 | "Her voice had matured into" | | 16 | "It struck cleanly, without the" | | 17 | "Silas's smile arrived late." | | 18 | "His fingers tightened once on" | | 19 | "She gave a small laugh" |
| | ratio | 0.954 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 80.20% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 5 | | matches | | 0 | "Her shoulders lifted as if she were shrugging off something that had nothing to do with the room." | | 1 | "Silas's expression shifted into something that had been carved by years of listening to confessions." | | 2 | "Silas's eyes moved to the bookshelf that hid the Nest's secret room, to the spine of books that didn't match and the faint seam that suggested more than the sum…" | | 3 | "Silas returned her slight smile with the weight of someone who had watched his own love affairs with work end in quiet divorce." | | 4 | "The room filled with the kind of silence that wasn't empty but rather full of missed appointments, of unanswered letters, of trains they could no longer catch t…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 44 | | uselessAdditionCount | 2 | | matches | | 0 | "Silas said, and the words were neither accusation nor absolution" | | 1 | "Silas said suddenly, as if throwing a rope" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 2 | | fancyTags | | 0 | "Rory repeated (repeat)" | | 1 | "she admitted (admit)" |
| | dialogueSentences | 100 | | tagDensity | 0.21 | | leniency | 0.42 | | rawRatio | 0.095 | | effectiveRatio | 0.04 | |