| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "She hesitated then [then]" | | 2 | "she said softly [softly]" |
| | dialogueSentences | 28 | | tagDensity | 0.643 | | leniency | 1 | | rawRatio | 0.167 | | effectiveRatio | 0.167 | |
| 71.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1070 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
| | 4 | | | 5 | |
| | highlights | | 0 | "slightly" | | 1 | "cautiously" | | 2 | "softly" | | 3 | "barely above a whisper" | | 4 | "slowly" | | 5 | "gently" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1070 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "shattered" | | 3 | "silence" | | 4 | "unspoken" | | 5 | "tension" | | 6 | "traced" | | 7 | "pang" | | 8 | "tenderness" | | 9 | "reminder" | | 10 | "whisper" | | 11 | "palpable" | | 12 | "charged" | | 13 | "could feel" | | 14 | "magnetic" | | 15 | "tracing" | | 16 | "searing" | | 17 | "warmth" | | 18 | "sense of" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 60 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1071 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 898 | | uniqueNames | 4 | | maxNameDensity | 3.12 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 26 | | Rory | 28 | | Carter | 1 | | Ptolemy | 2 |
| | persons | | | places | (empty) | | globalScore | 0 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1071 | | matches | (empty) | |
| 70.05% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 69 | | matches | | 0 | "admit that Rory's" | | 1 | "traced that scar" |
| |
| 55.51% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 32.45 | | std | 11.17 | | cv | 0.344 | | sampleLengths | | 0 | 55 | | 1 | 27 | | 2 | 50 | | 3 | 58 | | 4 | 36 | | 5 | 36 | | 6 | 23 | | 7 | 40 | | 8 | 39 | | 9 | 53 | | 10 | 15 | | 11 | 26 | | 12 | 33 | | 13 | 26 | | 14 | 45 | | 15 | 31 | | 16 | 39 | | 17 | 37 | | 18 | 14 | | 19 | 42 | | 20 | 34 | | 21 | 21 | | 22 | 19 | | 23 | 31 | | 24 | 30 | | 25 | 20 | | 26 | 23 | | 27 | 26 | | 28 | 40 | | 29 | 33 | | 30 | 23 | | 31 | 21 | | 32 | 25 |
| |
| 87.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 60 | | matches | | 0 | "was struck" | | 1 | "being attuned" | | 2 | "been shattered" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 156 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 69 | | ratio | 0.014 | | matches | | 0 | "As Rory brushed past her, Eva caught a whiff of her familiar scent — vanilla and jasmine — and felt her heart clench painfully." |
| |
| 90.96% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 897 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 39 | | adverbRatio | 0.043478260869565216 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.017837235228539576 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 15.52 | | std | 6.53 | | cv | 0.421 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 22 | | 3 | 5 | | 4 | 22 | | 5 | 19 | | 6 | 27 | | 7 | 4 | | 8 | 16 | | 9 | 24 | | 10 | 18 | | 11 | 12 | | 12 | 24 | | 13 | 17 | | 14 | 19 | | 15 | 23 | | 16 | 9 | | 17 | 24 | | 18 | 7 | | 19 | 20 | | 20 | 19 | | 21 | 15 | | 22 | 19 | | 23 | 19 | | 24 | 9 | | 25 | 6 | | 26 | 5 | | 27 | 21 | | 28 | 10 | | 29 | 16 | | 30 | 7 | | 31 | 14 | | 32 | 12 | | 33 | 15 | | 34 | 7 | | 35 | 23 | | 36 | 9 | | 37 | 22 | | 38 | 20 | | 39 | 19 | | 40 | 15 | | 41 | 22 | | 42 | 14 | | 43 | 22 | | 44 | 12 | | 45 | 8 | | 46 | 18 | | 47 | 16 | | 48 | 12 | | 49 | 9 |
| |
| 55.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.391304347826087 | | totalSentences | 69 | | uniqueOpeners | 27 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 60 | | matches | | 0 | "Slowly, almost unconsciously, she reached" |
| | ratio | 0.017 | |
| 80.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 60 | | matches | | 0 | "She cursed under her breath" | | 1 | "She hadn't seen her best" | | 2 | "She shifted her weight from" | | 3 | "she finally managed, stepping aside" | | 4 | "Her voice was soft, laced" | | 5 | "She gestured vaguely toward the" | | 6 | "Her voice was gentle, almost" | | 7 | "She hesitated, then added" | | 8 | "She sighed, running a hand" | | 9 | "she asked, uncrossing her arms" | | 10 | "She faltered, then shook her" | | 11 | "She trailed off, looking lost" | | 12 | "she murmured, and the cat" | | 13 | "It was a reminder of" | | 14 | "she said softly, unable to" | | 15 | "She straightened up, her gaze" | | 16 | "She took a step closer," | | 17 | "she admitted, her voice barely" | | 18 | "she murmured, her voice low" | | 19 | "It was like coming home," |
| | ratio | 0.35 | |
| 35.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 60 | | matches | | 0 | "The sharp rapping at the" | | 1 | "She cursed under her breath" | | 2 | "Eva breathed, eyes wide" | | 3 | "She hadn't seen her best" | | 4 | "Rory stood there, clutching the" | | 5 | "She shifted her weight from" | | 6 | "Part of her wanted to" | | 7 | "she finally managed, stepping aside" | | 8 | "The flat was as cluttered" | | 9 | "Rory's gaze swept over the" | | 10 | "Eva murmured, closing the door" | | 11 | "Rory turned to face her," | | 12 | "Her voice was soft, laced" | | 13 | "Eva shook her head, unwilling" | | 14 | "She gestured vaguely toward the" | | 15 | "An awkward silence stretched between" | | 16 | "Eva's gaze kept getting drawn" | | 17 | "Rory asked, breaking the silence" | | 18 | "Her voice was gentle, almost" | | 19 | "Eva shrugged, forcing a smile." |
| | ratio | 0.85 | |
| 83.33% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 60 | | matches | | 0 | "Before Eva could respond, a" |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "Eva shook her head, unwilling to admit that Rory's sudden reappearance had shattered the fragile peace she'd been clinging to." | | 1 | "When they finally broke apart, both of them breathless, Eva felt a sense of something fragile and precious being restored, like a cherished vase that had been s…" |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 6 | | matches | | 0 | "Eva breathed, eyes wide" | | 1 | "she said softly, unable to keep the fondness from her voice" | | 2 | "she admitted, her voice barely above a whisper" | | 3 | "Eva began, but the words caught in her throat, tangled up in the decades of history between them" | | 4 | "she murmured, her voice low and intimate" | | 5 | "she murmured, her voice thick with emotion" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 8 | | fancyTags | | 0 | "Eva breathed (breathe)" | | 1 | "Eva murmured (murmur)" | | 2 | "She sighed (sigh)" | | 3 | "She faltered (falter)" | | 4 | "she murmured (murmur)" | | 5 | "she admitted (admit)" | | 6 | "she murmured (murmur)" | | 7 | "she murmured (murmur)" |
| | dialogueSentences | 28 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0.727 | | effectiveRatio | 0.571 | |