| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1081 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "very" | | 2 | "slightly" |
| |
| 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) | |
| 2.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1081 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "skipped a beat" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "stark" | | 1 | "sense of" | | 2 | "silence" | | 3 | "oppressive" | | 4 | "scanning" | | 5 | "pulsed" | | 6 | "warmth" | | 7 | "whisper" | | 8 | "tension" | | 9 | "skipped a beat" | | 10 | "rhythmic" | | 11 | "reminder" | | 12 | "raced" | | 13 | "resolve" | | 14 | "beacon" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "heart pounded in her chest" | | 1 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 81 | | matches | | |
| 19.40% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1080 | | ratio | 0 | | matches | (empty) | |
| 62.50% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 2 | | matches | | 0 | "It was just her imagination, she told herself, but the silence that followed the sound was unnerving." | | 1 | "Then, it spoke again, its voice softer, almost contemplative." |
| |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 915 | | uniqueNames | 7 | | maxNameDensity | 1.53 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Rory | 14 | | Fae | 3 | | Grove | 2 | | Eva | 4 | | Heartstone | 5 | | Pendant | 2 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Pendant" |
| | places | | | globalScore | 0.735 | | windowScore | 0.667 | |
| 38.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 3 | | matches | | 0 | "quite place" | | 1 | "voices that seemed to come from all directions" | | 2 | "not quite" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1080 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 93.68% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 37.24 | | std | 17.8 | | cv | 0.478 | | sampleLengths | | 0 | 69 | | 1 | 83 | | 2 | 43 | | 3 | 48 | | 4 | 49 | | 5 | 14 | | 6 | 50 | | 7 | 69 | | 8 | 10 | | 9 | 44 | | 10 | 44 | | 11 | 11 | | 12 | 40 | | 13 | 36 | | 14 | 37 | | 15 | 38 | | 16 | 41 | | 17 | 15 | | 18 | 30 | | 19 | 35 | | 20 | 25 | | 21 | 21 | | 22 | 44 | | 23 | 20 | | 24 | 41 | | 25 | 10 | | 26 | 45 | | 27 | 48 | | 28 | 20 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 157 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 93 | | ratio | 0 | | matches | (empty) | |
| 98.70% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 916 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.04148471615720524 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.015283842794759825 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 11.61 | | std | 5.63 | | cv | 0.484 | | sampleLengths | | 0 | 21 | | 1 | 18 | | 2 | 15 | | 3 | 15 | | 4 | 9 | | 5 | 22 | | 6 | 22 | | 7 | 13 | | 8 | 17 | | 9 | 13 | | 10 | 17 | | 11 | 13 | | 12 | 11 | | 13 | 16 | | 14 | 11 | | 15 | 10 | | 16 | 5 | | 17 | 9 | | 18 | 9 | | 19 | 9 | | 20 | 17 | | 21 | 10 | | 22 | 4 | | 23 | 2 | | 24 | 14 | | 25 | 8 | | 26 | 15 | | 27 | 11 | | 28 | 13 | | 29 | 9 | | 30 | 13 | | 31 | 11 | | 32 | 10 | | 33 | 13 | | 34 | 7 | | 35 | 3 | | 36 | 6 | | 37 | 20 | | 38 | 18 | | 39 | 11 | | 40 | 5 | | 41 | 5 | | 42 | 18 | | 43 | 5 | | 44 | 8 | | 45 | 3 | | 46 | 11 | | 47 | 17 | | 48 | 4 | | 49 | 8 |
| |
| 41.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.26881720430107525 | | totalSentences | 93 | | uniqueOpeners | 25 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 80 | | matches | | 0 | "Only the faint rustling of" | | 1 | "Then, a voice, ancient and" | | 2 | "Then, it spoke again, its" |
| | ratio | 0.038 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 80 | | matches | | 0 | "She had a job to" | | 1 | "She had to find out" | | 2 | "She moved deeper into the" | | 3 | "She touched it, feeling a" | | 4 | "Her eyes searched the darkness," | | 5 | "She took a deep breath," | | 6 | "It was just her imagination," | | 7 | "she called out, her voice" | | 8 | "She continued walking, her steps" | | 9 | "She had to be careful" | | 10 | "She peered into the shadows," | | 11 | "She let out a relieved" | | 12 | "she muttered to herself" | | 13 | "She pressed on, her pace" | | 14 | "She stopped, straining to hear." | | 15 | "It was close, too close." | | 16 | "she called out again, her" | | 17 | "She was not alone." | | 18 | "She knew it with a" | | 19 | "They were not human, not" |
| | ratio | 0.375 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 80 | | matches | | 0 | "Aurora Carter, known to her" | | 1 | "The ancient oak standing stones" | | 2 | "The trees beyond the stones" | | 3 | "Wildflowers bloomed year-round here, a" | | 4 | "Rory shivered, pulling her jacket" | | 5 | "She had a job to" | | 6 | "Eva had mentioned something about" | | 7 | "Rory's skepticism had given way" | | 8 | "She had to find out" | | 9 | "The ground beneath her feet" | | 10 | "The air was thick with" | | 11 | "The silence was almost oppressive," | | 12 | "She moved deeper into the" | | 13 | "The Heartstone Pendant hung around" | | 14 | "She touched it, feeling a" | | 15 | "The pendant was her only" | | 16 | "A twig snapped behind her." | | 17 | "Rory spun around, her heart" | | 18 | "Her eyes searched the darkness," | | 19 | "She took a deep breath," |
| | ratio | 0.938 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | | ratio | 0.013 | |
| 96.27% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 3 | | matches | | 0 | "It was just her imagination, she told herself, but the silence that followed the sound was unnerving." | | 1 | "The whispering grew louder, a chorus of voices that seemed to come from all directions." | | 2 | "The figure seemed to consider her words, its form shifting, never quite settling into a recognizable shape." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 4 | | matches | | 0 | "she called out, her voice barely above a whisper" | | 1 | "she called out, her voice trembling" | | 2 | "she demanded, her voice steady despite the fear clawing at her insides" | | 3 | "she said, her voice shaking" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she muttered (mutter)" | | 2 | "she called out (call out)" | | 3 | "she demanded (demand)" |
| | dialogueSentences | 17 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.8 | | effectiveRatio | 0.471 | |