| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.524 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1024 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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 | 1024 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "carried the weight" | | count | 1 |
| | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "intensity" | | 1 | "tension" | | 2 | "reminder" | | 3 | "testament" | | 4 | "familiar" | | 5 | "encounter" | | 6 | "unwavering" | | 7 | "flicker" | | 8 | "imposing" | | 9 | "resonated" | | 10 | "unspoken" | | 11 | "tinged" | | 12 | "silence" | | 13 | "carried the weight" | | 14 | "raced" | | 15 | "magnetic" | | 16 | "warmth" | | 17 | "echoed" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" | | 1 | "hung in the air" |
| |
| 96.26% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 58 | | matches | | 0 | "d with regret" | | 1 | "felt the sting" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1025 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 913 | | uniqueNames | 6 | | maxNameDensity | 1.42 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 13 | | Carter | 1 | | Moreau | 1 | | French | 1 | | Eva | 3 | | Lucien | 11 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Moreau" | | 3 | "French" | | 4 | "Eva" | | 5 | "Lucien" |
| | places | (empty) | | globalScore | 0.788 | | windowScore | 0.833 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 3 | | matches | | 0 | "quite reach his eyes" | | 1 | "as if expecting her friend to materialize from the shadows" | | 2 | "as if releasing the tension that had coiled within her" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1025 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 82.80% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 34.17 | | std | 15.03 | | cv | 0.44 | | sampleLengths | | 0 | 73 | | 1 | 60 | | 2 | 36 | | 3 | 41 | | 4 | 57 | | 5 | 33 | | 6 | 30 | | 7 | 42 | | 8 | 26 | | 9 | 12 | | 10 | 48 | | 11 | 23 | | 12 | 26 | | 13 | 38 | | 14 | 27 | | 15 | 16 | | 16 | 30 | | 17 | 21 | | 18 | 45 | | 19 | 15 | | 20 | 15 | | 21 | 54 | | 22 | 17 | | 23 | 22 | | 24 | 41 | | 25 | 14 | | 26 | 47 | | 27 | 33 | | 28 | 40 | | 29 | 43 |
| |
| 87.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 58 | | matches | | 0 | "was cramped" | | 1 | "were, drawn" | | 2 | "was unexpected" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 157 | | matches | (empty) | |
| 16.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 68 | | ratio | 0.044 | | matches | | 0 | "His heterochromatic eyes — one amber, one black — fixed on her with an intensity that made her heart skip." | | 1 | "Aurora felt a flicker of something — hope, perhaps, or the ghost of old feelings she thought she'd buried." | | 2 | "But beneath it all was the undeniable truth — she had missed him too." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 912 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.019736842105263157 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003289473684210526 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 94.42% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 15.07 | | std | 5.82 | | cv | 0.386 | | sampleLengths | | 0 | 23 | | 1 | 22 | | 2 | 28 | | 3 | 18 | | 4 | 20 | | 5 | 22 | | 6 | 14 | | 7 | 22 | | 8 | 10 | | 9 | 12 | | 10 | 19 | | 11 | 21 | | 12 | 19 | | 13 | 17 | | 14 | 20 | | 15 | 13 | | 16 | 14 | | 17 | 16 | | 18 | 9 | | 19 | 15 | | 20 | 18 | | 21 | 19 | | 22 | 7 | | 23 | 7 | | 24 | 5 | | 25 | 9 | | 26 | 19 | | 27 | 20 | | 28 | 23 | | 29 | 11 | | 30 | 15 | | 31 | 13 | | 32 | 11 | | 33 | 14 | | 34 | 13 | | 35 | 14 | | 36 | 9 | | 37 | 7 | | 38 | 15 | | 39 | 11 | | 40 | 4 | | 41 | 11 | | 42 | 10 | | 43 | 13 | | 44 | 13 | | 45 | 19 | | 46 | 13 | | 47 | 2 | | 48 | 8 | | 49 | 7 |
| |
| 52.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3235294117647059 | | totalSentences | 68 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 68.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 58 | | matches | | 0 | "She hesitated, her hand still" | | 1 | "His heterochromatic eyes — one" | | 2 | "he greeted, his voice smooth," | | 3 | "It was a name she" | | 4 | "she replied, her voice steady" | | 5 | "She stepped inside, closing the" | | 6 | "It was a space that" | | 7 | "She crossed her arms, a" | | 8 | "She nodded, though the words" | | 9 | "Their last encounter had been" | | 10 | "She moved to the small" | | 11 | "she asked, her voice softer," | | 12 | "She found it, a glimmer" | | 13 | "she said, the words escaping" | | 14 | "They were raw, unfiltered, a" | | 15 | "She turned to face him" | | 16 | "She took a deep breath," | | 17 | "she said, her voice steady," | | 18 | "she asked, the question bold," | | 19 | "she said, her voice firm," |
| | ratio | 0.379 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 58 | | matches | | 0 | "The door creaked open, revealing" | | 1 | "She hesitated, her hand still" | | 2 | "The air was thick with" | | 3 | "Lucien Moreau stood in the" | | 4 | "His heterochromatic eyes — one" | | 5 | "The ivory-handled cane rested against" | | 6 | "he greeted, his voice smooth," | | 7 | "It was a name she" | | 8 | "she replied, her voice steady" | | 9 | "She stepped inside, closing the" | | 10 | "The three deadbolts were a" | | 11 | "Ptolemy, Eva's tabby cat, meandered" | | 12 | "The room was cramped, every" | | 13 | "It was a space that" | | 14 | "Aurora said, her tone carrying" | | 15 | "She crossed her arms, a" | | 16 | "Lucien's lips curved into a" | | 17 | "She nodded, though the words" | | 18 | "Their last encounter had been" | | 19 | "Aurora said, glancing around the" |
| | ratio | 0.948 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 29.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 7 | | matches | | 0 | "She hesitated, her hand still on the doorframe, as if the threshold were a barrier she wasn't sure she wanted to cross." | | 1 | "His heterochromatic eyes — one amber, one black — fixed on her with an intensity that made her heart skip." | | 2 | "She crossed her arms, a defensive gesture that belied the vulnerability she felt." | | 3 | "She found it, a glimmer of truth that resonated with her own unspoken longing." | | 4 | "She took a deep breath, letting it out slowly, as if releasing the tension that had coiled within her." | | 5 | "Lucien's smile was genuine this time, a warmth that softened the sharp angles of his face." | | 6 | "Aurora reached for his hand, her fingers brushing against the ivory handle of his cane before finding his." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "she replied, her voice steady despite the turmoil within" | | 1 | "Lucien replied, his gaze unwavering" | | 2 | "she said, the words escaping before she could stop them" | | 3 | "she said, her voice steady, though her heart raced" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.476 | | leniency | 0.952 | | rawRatio | 0 | | effectiveRatio | 0 | |