| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 44 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1877 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 62.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1877 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | word | "carried the weight" | | count | 1 |
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| | highlights | | 0 | "familiar" | | 1 | "traced" | | 2 | "silence" | | 3 | "flicked" | | 4 | "weight" | | 5 | "comfortable" | | 6 | "trembled" | | 7 | "pulse" | | 8 | "scanned" | | 9 | "down her spine" | | 10 | "raced" | | 11 | "carried the weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1877 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1364 | | uniqueNames | 7 | | maxNameDensity | 1.1 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Silas | 15 | | Raven | 1 | | Nest | 1 | | Rory | 13 | | Cardiff | 1 | | Evan | 1 | | Prague | 1 |
| | persons | | 0 | "Silas" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Rory" | | 4 | "Evan" |
| | places | | | globalScore | 0.95 | | windowScore | 1 | |
| 95.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like it cost him" | | 1 | "seemed larger than the world sat across from her admitting his smallness" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.533 | | wordCount | 1877 | | matches | | 0 | "not uncomfortable exactly, but full of the shape of things unsaid" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 34.76 | | std | 22.37 | | cv | 0.644 | | sampleLengths | | 0 | 17 | | 1 | 44 | | 2 | 2 | | 3 | 28 | | 4 | 46 | | 5 | 7 | | 6 | 70 | | 7 | 37 | | 8 | 34 | | 9 | 65 | | 10 | 20 | | 11 | 52 | | 12 | 41 | | 13 | 7 | | 14 | 2 | | 15 | 66 | | 16 | 29 | | 17 | 57 | | 18 | 55 | | 19 | 65 | | 20 | 12 | | 21 | 52 | | 22 | 62 | | 23 | 53 | | 24 | 86 | | 25 | 42 | | 26 | 5 | | 27 | 11 | | 28 | 78 | | 29 | 13 | | 30 | 37 | | 31 | 42 | | 32 | 21 | | 33 | 59 | | 34 | 65 | | 35 | 23 | | 36 | 67 | | 37 | 58 | | 38 | 19 | | 39 | 17 | | 40 | 3 | | 41 | 21 | | 42 | 46 | | 43 | 42 | | 44 | 1 | | 45 | 23 | | 46 | 3 | | 47 | 38 | | 48 | 18 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 107 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 240 | | matches | (empty) | |
| 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) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1367 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.030724213606437453 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.005852231163130944 | |
| 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 | 13.9 | | std | 8.85 | | cv | 0.637 | | sampleLengths | | 0 | 17 | | 1 | 12 | | 2 | 8 | | 3 | 24 | | 4 | 2 | | 5 | 21 | | 6 | 7 | | 7 | 7 | | 8 | 14 | | 9 | 25 | | 10 | 7 | | 11 | 4 | | 12 | 15 | | 13 | 26 | | 14 | 25 | | 15 | 24 | | 16 | 13 | | 17 | 10 | | 18 | 24 | | 19 | 3 | | 20 | 15 | | 21 | 29 | | 22 | 13 | | 23 | 5 | | 24 | 19 | | 25 | 1 | | 26 | 13 | | 27 | 21 | | 28 | 6 | | 29 | 4 | | 30 | 8 | | 31 | 22 | | 32 | 19 | | 33 | 7 | | 34 | 2 | | 35 | 10 | | 36 | 14 | | 37 | 23 | | 38 | 19 | | 39 | 10 | | 40 | 19 | | 41 | 20 | | 42 | 37 | | 43 | 8 | | 44 | 27 | | 45 | 10 | | 46 | 10 | | 47 | 25 | | 48 | 40 | | 49 | 8 |
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| 60.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3851851851851852 | | totalSentences | 135 | | uniqueOpeners | 52 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 95.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 106 | | matches | | 0 | "His hazel eyes narrowed, then" | | 1 | "She kept her voice level," | | 2 | "He poured without asking, sliding" | | 3 | "She lifted the drink." | | 4 | "He limped a half-step to" | | 5 | "He pulled a stool from" | | 6 | "He said it plain, the" | | 7 | "She rolled her shoulders once," | | 8 | "she said when he sat" | | 9 | "He turned the signet ring" | | 10 | "She gave a small shrug," | | 11 | "His gaze flicked to her" | | 12 | "She turned her hand over," | | 13 | "She saw the old operative" | | 14 | "he said at last" | | 15 | "It had taken the sharp-edged" | | 16 | "She glanced toward the back" | | 17 | "She remembered him describing the" | | 18 | "His eyebrows rose a fraction." | | 19 | "They moved together without discussion." |
| | ratio | 0.311 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 106 | | matches | | 0 | "Rory set her tumbler down" | | 1 | "The man behind the bar" | | 2 | "His hazel eyes narrowed, then" | | 3 | "The neatly trimmed beard, streaked" | | 4 | "She kept her voice level," | | 5 | "Silas draped the cloth over" | | 6 | "The silver signet ring caught" | | 7 | "He poured without asking, sliding" | | 8 | "She lifted the drink." | | 9 | "The whisky burned a clean" | | 10 | "The Raven's Nest carried the" | | 11 | "He limped a half-step to" | | 12 | "Rory traced the rim of" | | 13 | "Silas's mouth tightened." | | 14 | "He pulled a stool from" | | 15 | "The slight limp had not" | | 16 | "He said it plain, the" | | 17 | "The name landed between them" | | 18 | "Rory felt her left wrist" | | 19 | "Childhood accident, she had always" |
| | ratio | 0.925 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 106 | | matches | | 0 | "Now the room owned him." | | 1 | "Now the man who had" | | 2 | "Before she could answer, the" |
| | ratio | 0.028 | |
| 64.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 6 | | matches | | 0 | "Around them the walls pressed close, covered in yellowed maps of cities no longer safe and photographs of people who had vanished from the official record." | | 1 | "When he returned the limp had grown more noticeable, as though the past had settled heavier in the bone." | | 2 | "Rory felt the weight of it settle in her chest, the lost letters, the unanswered calls, the birthdays that passed without acknowledgement." | | 3 | "Time had taken the eager girl who wanted to change the world through clever arguments and replaced her with someone who knew the world did not care for cleverne…" | | 4 | "It had taken the sharp-edged spy and left a man who polished glasses and waited for ghosts to walk through his door." | | 5 | "Now the man who had once seemed larger than the world sat across from her admitting his smallness." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "She gave, as if the choice had been simple" | | 1 | "Silas said, voice low and edged with the old steel" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 44 | | tagDensity | 0.159 | | leniency | 0.318 | | rawRatio | 0.143 | | effectiveRatio | 0.045 | |