| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said flatly [flatly]" | | 1 | "she finally demanded [finally]" | | 2 | "she said softly [softly]" |
| | dialogueSentences | 29 | | tagDensity | 0.448 | | leniency | 0.897 | | rawRatio | 0.231 | | effectiveRatio | 0.207 | |
| 85.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1037 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "really" | | 2 | "slowly" |
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| 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 | 1037 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | word | "moth to a flame" | | count | 1 |
| | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "echoed" | | 1 | "pristine" | | 2 | "silk" | | 3 | "lilt" | | 4 | "weight" | | 5 | "scanning" | | 6 | "warmth" | | 7 | "silence" | | 8 | "flicked" | | 9 | "reminder" | | 10 | "charm" | | 11 | "shattered" | | 12 | "whisper" | | 13 | "jaw clenched" | | 14 | "charged" | | 15 | "tension" | | 16 | "enigma" | | 17 | "fluttered" | | 18 | "moth to a flame" | | 19 | "flickered" | | 20 | "unspoken" | | 21 | "flicker" |
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| 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 | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" |
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| 94.70% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 55 | | matches | | 0 | "d with regret" | | 1 | "The flicker of hope" |
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| 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 | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1032 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 762 | | uniqueNames | 7 | | maxNameDensity | 0.66 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 3 | | Moreau | 1 | | Marseille | 1 | | Rory | 1 | | Lucien | 5 | | Ptolemy | 1 | | Aurora | 4 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "or someone who apparently wandered unannounce" | | 1 | "felt like a bridge across the gulf betw" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1032 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 70 | | matches | | |
| 99.95% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 33.29 | | std | 16.64 | | cv | 0.5 | | sampleLengths | | 0 | 56 | | 1 | 59 | | 2 | 1 | | 3 | 39 | | 4 | 35 | | 5 | 43 | | 6 | 47 | | 7 | 14 | | 8 | 31 | | 9 | 51 | | 10 | 50 | | 11 | 38 | | 12 | 12 | | 13 | 36 | | 14 | 27 | | 15 | 70 | | 16 | 15 | | 17 | 40 | | 18 | 49 | | 19 | 51 | | 20 | 23 | | 21 | 16 | | 22 | 23 | | 23 | 12 | | 24 | 53 | | 25 | 17 | | 26 | 21 | | 27 | 36 | | 28 | 23 | | 29 | 14 | | 30 | 30 |
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| 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 | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 70 | | ratio | 0.057 | | matches | | 0 | "His tailored charcoal suit was impeccable as ever, every crease and fold exactly where they should be—impossibly pristine for someone who apparently wandered unannounced into other people's lives." | | 1 | "He took a slow, deliberate step closer, the scent of his cologne—old leather and something faintly metallic—rising to meet her." | | 2 | "She studied him—laid bare through a veil of years and pain, yet still the same man who’d captivated her with irreverent charm and razor-sharp wit, the same enigma built from shadows and light." | | 3 | "As he crossed the threshold into the cluttered flat, the past and present collided, and for a suspended heartbeat, the hurt and longing tangled into something fragile—something worth fighting for." |
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| 91.65% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 773 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 33 | | adverbRatio | 0.042690815006468305 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.018111254851228976 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 14.74 | | std | 8.16 | | cv | 0.554 | | sampleLengths | | 0 | 6 | | 1 | 23 | | 2 | 17 | | 3 | 8 | | 4 | 2 | | 5 | 28 | | 6 | 31 | | 7 | 1 | | 8 | 22 | | 9 | 17 | | 10 | 9 | | 11 | 26 | | 12 | 21 | | 13 | 16 | | 14 | 6 | | 15 | 25 | | 16 | 9 | | 17 | 13 | | 18 | 12 | | 19 | 2 | | 20 | 18 | | 21 | 13 | | 22 | 8 | | 23 | 23 | | 24 | 5 | | 25 | 4 | | 26 | 11 | | 27 | 12 | | 28 | 25 | | 29 | 13 | | 30 | 10 | | 31 | 19 | | 32 | 9 | | 33 | 4 | | 34 | 8 | | 35 | 19 | | 36 | 17 | | 37 | 11 | | 38 | 16 | | 39 | 20 | | 40 | 31 | | 41 | 19 | | 42 | 3 | | 43 | 12 | | 44 | 16 | | 45 | 24 | | 46 | 6 | | 47 | 24 | | 48 | 19 | | 49 | 33 |
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| 71.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.45714285714285713 | | totalSentences | 70 | | uniqueOpeners | 32 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 53 | | matches | | 0 | "Just hearing him, hearing that" |
| | ratio | 0.019 | |
| 31.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 53 | | matches | | 0 | "She stood just inside the" | | 1 | "His tailored charcoal suit was" | | 2 | "His voice was smooth silk," | | 3 | "Her bright blue eyes narrowed," | | 4 | "He stepped forward, the soft" | | 5 | "she said flatly" | | 6 | "Her voice faltered just long" | | 7 | "she interrupted, stepping back but" | | 8 | "He lingered at the threshold," | | 9 | "His voice was low, almost" | | 10 | "she said, trying to sound" | | 11 | "she snapped, voice cracking despite" | | 12 | "He took a slow, deliberate" | | 13 | "His gaze dropped for a" | | 14 | "she finally demanded, her tone" | | 15 | "His voice dropped to almost" | | 16 | "She studied him—laid bare through" | | 17 | "She hated how her heart" | | 18 | "she said softly, the fight" | | 19 | "Her eyes flickered, recalling late-night" |
| | ratio | 0.472 | |
| 44.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 53 | | matches | | 0 | "Aurora’s fingers froze on the" | | 1 | "The sharp click echoed through" | | 2 | "She stood just inside the" | | 3 | "The figure in the dim" | | 4 | "His tailored charcoal suit was" | | 5 | "His voice was smooth silk," | | 6 | "Her bright blue eyes narrowed," | | 7 | "He stepped forward, the soft" | | 8 | "The ivory handle of his" | | 9 | "Aurora’s gaze flicked to the" | | 10 | "she said flatly" | | 11 | "Her voice faltered just long" | | 12 | "Lucien’s one amber eye softened," | | 13 | "she interrupted, stepping back but" | | 14 | "The small crescent-shaped scar on" | | 15 | "He lingered at the threshold," | | 16 | "His voice was low, almost" | | 17 | "Rory swallowed, the tight knot" | | 18 | "she said, trying to sound" | | 19 | "Lucien’s jaw clenched imperceptibly." |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 4 | | matches | | 0 | "Slicked-back platinum blond hair caught the weak, yellow glow of the corridor light, casting shadows over the sharp lines of a face that had haunted her dreams …" | | 1 | "Lucien’s one amber eye softened, the black in the other shadowing as if recalling ghosts best left undisturbed." | | 2 | "The small crescent-shaped scar on her left wrist twitched, a childhood accident that reminded her how little control she had over some things." | | 3 | "She studied him—laid bare through a veil of years and pain, yet still the same man who’d captivated her with irreverent charm and razor-sharp wit, the same enig…" |
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| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, trying to sound stronger than she felt" | | 1 | "she snapped, voice cracking despite herself" | | 2 | "she said softly, the fight draining out of her" |
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| 46.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 3 | | fancyTags | | 0 | "she interrupted (interrupt)" | | 1 | "she snapped (snap)" | | 2 | "she finally demanded (demand)" |
| | dialogueSentences | 29 | | tagDensity | 0.241 | | leniency | 0.483 | | rawRatio | 0.429 | | effectiveRatio | 0.207 | |