| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "he warned softly [softly]" |
| | dialogueSentences | 37 | | tagDensity | 0.378 | | leniency | 0.757 | | rawRatio | 0.071 | | effectiveRatio | 0.054 | |
| 57.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 819 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | adverb | "ever so slightly" | | count | 1 |
| | 3 | | | 4 | |
| | highlights | | 0 | "smugly" | | 1 | "softly" | | 2 | "ever so slightly" | | 3 | "suddenly" | | 4 | "sharply" |
| |
| 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) | |
| 26.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 819 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flawless" | | 1 | "effortless" | | 2 | "pulse" | | 3 | "flicker" | | 4 | "pulsed" | | 5 | "unspoken" | | 6 | "fleeting" | | 7 | "charged" | | 8 | "firmly" | | 9 | "porcelain" | | 10 | "tenderness" | | 11 | "perfect" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 55 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | 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 | 808 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 594 | | uniqueNames | 6 | | maxNameDensity | 1.18 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 5 | | Eva | 3 | | Moreau | 1 | | Lucien | 7 | | Together | 1 | | Jeremy | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Jeremy" |
| | places | (empty) | | globalScore | 0.911 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 808 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 17.96 | | std | 9.88 | | cv | 0.55 | | sampleLengths | | 0 | 37 | | 1 | 50 | | 2 | 7 | | 3 | 23 | | 4 | 26 | | 5 | 31 | | 6 | 31 | | 7 | 19 | | 8 | 24 | | 9 | 27 | | 10 | 12 | | 11 | 15 | | 12 | 28 | | 13 | 28 | | 14 | 15 | | 15 | 4 | | 16 | 13 | | 17 | 14 | | 18 | 14 | | 19 | 15 | | 20 | 15 | | 21 | 23 | | 22 | 22 | | 23 | 33 | | 24 | 12 | | 25 | 13 | | 26 | 10 | | 27 | 33 | | 28 | 9 | | 29 | 15 | | 30 | 23 | | 31 | 15 | | 32 | 11 | | 33 | 10 | | 34 | 20 | | 35 | 9 | | 36 | 1 | | 37 | 19 | | 38 | 11 | | 39 | 11 | | 40 | 27 | | 41 | 12 | | 42 | 4 | | 43 | 8 | | 44 | 9 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 112 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 77 | | ratio | 0.065 | | matches | | 0 | "Lucien Moreau stepped in, turning with that half-smile that always unnerved her—one amber eye catching the dim light, the other black as a bottomless pit." | | 1 | "She stepped back, the cramped space closing in—a one-bedroom flat packed with scattered books and half-burnt candles." | | 2 | "The air pulsed with what they'd left unspoken—the betrayal, the fire of cruel words, the pit where trust had died." | | 3 | "Together, they pulled the door open just as Jeremy’s face filled the frame—sweaty, desperate, eyes darting like a hunted animal." | | 4 | "Yet standing there with Lucien—heir to darkness and all—the ache between them twisted tighter." |
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| 87.06% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 605 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped mark" |
| | adverbCount | 29 | | adverbRatio | 0.047933884297520664 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.019834710743801654 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 10.49 | | std | 5.67 | | cv | 0.54 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 6 | | 3 | 25 | | 4 | 8 | | 5 | 17 | | 6 | 7 | | 7 | 17 | | 8 | 6 | | 9 | 22 | | 10 | 4 | | 11 | 22 | | 12 | 9 | | 13 | 17 | | 14 | 14 | | 15 | 19 | | 16 | 14 | | 17 | 10 | | 18 | 7 | | 19 | 20 | | 20 | 12 | | 21 | 7 | | 22 | 8 | | 23 | 3 | | 24 | 17 | | 25 | 8 | | 26 | 20 | | 27 | 8 | | 28 | 3 | | 29 | 12 | | 30 | 4 | | 31 | 7 | | 32 | 6 | | 33 | 14 | | 34 | 14 | | 35 | 15 | | 36 | 15 | | 37 | 14 | | 38 | 9 | | 39 | 18 | | 40 | 4 | | 41 | 17 | | 42 | 16 | | 43 | 12 | | 44 | 8 | | 45 | 5 | | 46 | 3 | | 47 | 7 | | 48 | 9 | | 49 | 11 |
| |
| 78.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4805194805194805 | | totalSentences | 77 | | uniqueOpeners | 37 | |
| 65.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 51 | | matches | | 0 | "Suddenly, the knock at the" |
| | ratio | 0.02 | |
| 23.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 51 | | matches | | 0 | "She froze on the threshold" | | 1 | "His tailored charcoal suit was" | | 2 | "He moved with an effortless," | | 3 | "she said, voice clipped but" | | 4 | "he murmured, closing the door" | | 5 | "Her pulse kicked up, heat" | | 6 | "He stretched out his fingers," | | 7 | "She stepped back, the cramped" | | 8 | "Her voice was low, a" | | 9 | "He hesitated just a moment," | | 10 | "she warned, voice barely above" | | 11 | "His amber eye softened ever" | | 12 | "She dropped her delivery bag" | | 13 | "He laughed, dry and hollow" | | 14 | "She met his gaze, bright" | | 15 | "His tone was low but" | | 16 | "She snatched up a chipped" | | 17 | "he whispered, eyes flickering to" | | 18 | "she replied, setting the mug" | | 19 | "He stepped closer, cane clicking" |
| | ratio | 0.49 | |
| 9.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 51 | | matches | | 0 | "The door clicked open before" | | 1 | "She froze on the threshold" | | 2 | "The three deadbolts sat smugly" | | 3 | "Lucien Moreau stepped in, turning" | | 4 | "His tailored charcoal suit was" | | 5 | "He moved with an effortless," | | 6 | "she said, voice clipped but" | | 7 | "he murmured, closing the door" | | 8 | "Her pulse kicked up, heat" | | 9 | "He stretched out his fingers," | | 10 | "She stepped back, the cramped" | | 11 | "Ptolemy, Eva's tabby cat, slinked" | | 12 | "Her voice was low, a" | | 13 | "He hesitated just a moment," | | 14 | "Years and silences hung heavy" | | 15 | "The air pulsed with what" | | 16 | "she warned, voice barely above" | | 17 | "His amber eye softened ever" | | 18 | "Aurora’s breath caught." | | 19 | "That was the fault of" |
| | ratio | 0.902 | |
| 98.04% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 51 | | matches | | | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, voice clipped but steady" | | 1 | "she warned, voice barely above a murmur" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 7 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "she warned (warn)" | | 2 | "He laughed (laugh)" | | 3 | "he whispered (whisper)" | | 4 | "she growled (growl)" | | 5 | "he warned softly (warn)" | | 6 | "he gasped (gasp)" |
| | dialogueSentences | 37 | | tagDensity | 0.27 | | leniency | 0.541 | | rawRatio | 0.7 | | effectiveRatio | 0.378 | |