| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "he replied softly [softly]" |
| | dialogueSentences | 35 | | tagDensity | 0.486 | | leniency | 0.971 | | rawRatio | 0.059 | | effectiveRatio | 0.057 | |
| 90.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1067 | | 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) | |
| 57.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1067 | | totalAiIsms | 9 | | found | | 0 | | | 1 | | word | "down her spine" | | count | 2 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "silence" | | 1 | "down her spine" | | 2 | "sanctuary" | | 3 | "sense of" | | 4 | "charm" | | 5 | "navigate" | | 6 | "echoed" | | 7 | "flicked" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "sent a shiver down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1064 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.24% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 753 | | uniqueNames | 6 | | maxNameDensity | 1.2 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Ptolemy | 2 | | Rory | 9 | | Three | 1 | | French | 2 | | Lucien | 6 | | Eva | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Rory" | | 2 | "Three" | | 3 | "French" | | 4 | "Lucien" | | 5 | "Eva" |
| | places | (empty) | | globalScore | 0.902 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "quite put a finger on, a sense of danger intertwined with the charm" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1064 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 28 | | std | 20.34 | | cv | 0.726 | | sampleLengths | | 0 | 31 | | 1 | 61 | | 2 | 17 | | 3 | 33 | | 4 | 46 | | 5 | 4 | | 6 | 79 | | 7 | 21 | | 8 | 36 | | 9 | 6 | | 10 | 52 | | 11 | 74 | | 12 | 72 | | 13 | 29 | | 14 | 5 | | 15 | 9 | | 16 | 9 | | 17 | 12 | | 18 | 4 | | 19 | 8 | | 20 | 19 | | 21 | 15 | | 22 | 9 | | 23 | 20 | | 24 | 26 | | 25 | 37 | | 26 | 35 | | 27 | 7 | | 28 | 18 | | 29 | 8 | | 30 | 30 | | 31 | 48 | | 32 | 48 | | 33 | 13 | | 34 | 23 | | 35 | 48 | | 36 | 31 | | 37 | 21 |
| |
| 99.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 63 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 137 | | matches | | |
| 72.31% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 81 | | ratio | 0.025 | | matches | | 0 | "She had learned her lesson before; he would find a way in even if she refused." | | 1 | "\"You know her; she's been in Eva's study group.\"" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 754 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.034482758620689655 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011936339522546418 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 13.14 | | std | 7.24 | | cv | 0.551 | | sampleLengths | | 0 | 10 | | 1 | 21 | | 2 | 14 | | 3 | 7 | | 4 | 9 | | 5 | 22 | | 6 | 9 | | 7 | 17 | | 8 | 7 | | 9 | 26 | | 10 | 5 | | 11 | 14 | | 12 | 9 | | 13 | 18 | | 14 | 4 | | 15 | 3 | | 16 | 21 | | 17 | 23 | | 18 | 32 | | 19 | 21 | | 20 | 24 | | 21 | 8 | | 22 | 4 | | 23 | 6 | | 24 | 22 | | 25 | 3 | | 26 | 11 | | 27 | 16 | | 28 | 31 | | 29 | 16 | | 30 | 12 | | 31 | 15 | | 32 | 23 | | 33 | 13 | | 34 | 16 | | 35 | 20 | | 36 | 15 | | 37 | 14 | | 38 | 3 | | 39 | 2 | | 40 | 9 | | 41 | 9 | | 42 | 2 | | 43 | 10 | | 44 | 4 | | 45 | 3 | | 46 | 5 | | 47 | 19 | | 48 | 4 | | 49 | 11 |
| |
| 63.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.41975308641975306 | | totalSentences | 81 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 61 | | matches | | 0 | "Maybe it was the worry" | | 1 | "Too traceable, he'd say." |
| | ratio | 0.033 | |
| 23.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 61 | | matches | | 0 | "she said, dodging the stacks" | | 1 | "His hair, slicked back, shone" | | 2 | "His deep voice, laced with" | | 3 | "She took a step back" | | 4 | "His thin brows rose imperceptibly." | | 5 | "He seemed to be considering" | | 6 | "Her eyes narrowed." | | 7 | "he said, glancing around the" | | 8 | "She had learned her lesson" | | 9 | "She stepped into the kitchen" | | 10 | "He reached down with his" | | 11 | "He gracefully swept papers aside" | | 12 | "She flashed him a grin" | | 13 | "He narrowed his eyes, taking" | | 14 | "She broke the eye contact" | | 15 | "His face tightened." | | 16 | "His heterochromatic eyes bore into" | | 17 | "he replied softly" | | 18 | "His eyes flicked towards the" | | 19 | "His gaze intensified, commanding her" |
| | ratio | 0.492 | |
| 33.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 61 | | matches | | 0 | "The thick silence was suddenly" | | 1 | "The tabby cat weaved between" | | 2 | "she said, dodging the stacks" | | 3 | "Rory pushed the door, peeking" | | 4 | "The streetlights bathed the man" | | 5 | "His hair, slicked back, shone" | | 6 | "His deep voice, laced with" | | 7 | "The word slipped out, surprising" | | 8 | "She took a step back" | | 9 | "His thin brows rose imperceptibly." | | 10 | "He seemed to be considering" | | 11 | "The smell of incense and" | | 12 | "Her eyes narrowed." | | 13 | "Part of her wanted to" | | 14 | "he said, glancing around the" | | 15 | "Lucien wasn't the type to" | | 16 | "The French came naturally to" | | 17 | "Rory hooked the chain and" | | 18 | "She had learned her lesson" | | 19 | "She stepped into the kitchen" |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "He narrowed his eyes, taking a moment to respond in kind, as if they were partaking in some silent communication." |
| |
| 36.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 3 | | matches | | 0 | "she asked, her voice low and breathy" | | 1 | "he said, his voice calm and controlled" | | 2 | "she said, more to herself than to him" |
| |
| 92.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "she exclaimed (exclaim)" | | 1 | "he whispered (whisper)" |
| | dialogueSentences | 35 | | tagDensity | 0.229 | | leniency | 0.457 | | rawRatio | 0.25 | | effectiveRatio | 0.114 | |