| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "Aurora Carter had just [just]" | | 1 | "he said simply [simply]" |
| | dialogueSentences | 28 | | tagDensity | 0.464 | | leniency | 0.929 | | rawRatio | 0.154 | | effectiveRatio | 0.143 | |
| 64.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 840 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "cautiously" | | 1 | "really" | | 2 | "quickly" | | 3 | "carefully" | | 4 | "slightly" |
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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 | 840 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "pulsed" | | 1 | "shattered" | | 2 | "silence" | | 3 | "footsteps" | | 4 | "comforting" | | 5 | "unspoken" | | 6 | "weight" | | 7 | "flicker" | | 8 | "measured" | | 9 | "echoing" | | 10 | "flicked" | | 11 | "tension" | | 12 | "charged" | | 13 | "tangible" | | 14 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "The weight of his words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 48 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 48 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 64 | | 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 | 840 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 643 | | uniqueNames | 8 | | maxNameDensity | 0.93 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | London | 1 | | Rory | 6 | | Lucien | 5 | | Moreau | 1 | | Frenchman | 1 | | Yu-Fei | 1 | | Tears | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Yu-Fei" | | 5 | "Tears" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed always tailored to perfection" | | 1 | "as if speaking loud might break the fragile barrier between them" | | 2 | "as if steadying himself against a tide of memories" |
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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 | 840 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 64 | | matches | | |
| 90.70% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 26.25 | | std | 12.27 | | cv | 0.467 | | sampleLengths | | 0 | 62 | | 1 | 9 | | 2 | 52 | | 3 | 52 | | 4 | 24 | | 5 | 23 | | 6 | 35 | | 7 | 23 | | 8 | 31 | | 9 | 15 | | 10 | 41 | | 11 | 26 | | 12 | 32 | | 13 | 21 | | 14 | 29 | | 15 | 21 | | 16 | 23 | | 17 | 21 | | 18 | 28 | | 19 | 31 | | 20 | 18 | | 21 | 12 | | 22 | 36 | | 23 | 16 | | 24 | 33 | | 25 | 30 | | 26 | 10 | | 27 | 19 | | 28 | 16 | | 29 | 15 | | 30 | 12 | | 31 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 109 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 64 | | ratio | 0.078 | | matches | | 0 | "An unexpected sight: the figure standing in the dim glow of the corridor — Lucien Moreau." | | 1 | "His heterochromatic eyes — one amber, one obsidian — studied her, calm yet intense." | | 2 | "The flat smelled faintly of old books and the sharp, comforting aroma of Yu-Fei’s takeout left on the counter—salt, soy, and ginger weaving into one." | | 3 | "She had been strong once; she could be strong again." | | 4 | "The silence stretched, the air heavy with all the things left unsaid—regrets, hopes, fears tangled together." |
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| 86.98% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 164 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.054878048780487805 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.012195121951219513 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 13.13 | | std | 6.69 | | cv | 0.51 | | sampleLengths | | 0 | 24 | | 1 | 22 | | 2 | 16 | | 3 | 9 | | 4 | 10 | | 5 | 6 | | 6 | 20 | | 7 | 16 | | 8 | 3 | | 9 | 24 | | 10 | 20 | | 11 | 5 | | 12 | 24 | | 13 | 18 | | 14 | 5 | | 15 | 21 | | 16 | 14 | | 17 | 23 | | 18 | 11 | | 19 | 20 | | 20 | 12 | | 21 | 3 | | 22 | 25 | | 23 | 16 | | 24 | 7 | | 25 | 19 | | 26 | 19 | | 27 | 13 | | 28 | 11 | | 29 | 10 | | 30 | 19 | | 31 | 10 | | 32 | 21 | | 33 | 8 | | 34 | 15 | | 35 | 12 | | 36 | 9 | | 37 | 24 | | 38 | 4 | | 39 | 17 | | 40 | 14 | | 41 | 9 | | 42 | 9 | | 43 | 7 | | 44 | 5 | | 45 | 18 | | 46 | 18 | | 47 | 12 | | 48 | 4 | | 49 | 6 |
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| 83.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.53125 | | totalSentences | 64 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 46 | | matches | | 0 | "Then the doorbell shattered the" | | 1 | "Cautiously, she unlatched the chain" | | 2 | "Finally, Rory took a step" |
| | ratio | 0.065 | |
| 28.70% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 46 | | matches | | 0 | "Her bright blue eyes lingered" | | 1 | "She crossed the narrow hallway" | | 2 | "Her breath hitched." | | 3 | "she said, voice steady but" | | 4 | "He stepped inside without waiting" | | 5 | "His heterochromatic eyes — one" | | 6 | "he said, using that nickname" | | 7 | "Her heart slammed against her" | | 8 | "he finished for her, a" | | 9 | "His hand reached out briefly," | | 10 | "he said, voice low, the" | | 11 | "She swallowed, blinking away the" | | 12 | "Her arms crossed, a shield" | | 13 | "he admitted, stepping carefully now," | | 14 | "she said, the ghost of" | | 15 | "She laughed, a sound brittle" | | 16 | "He straightened, stepping closer to" | | 17 | "His amber eye caught the" | | 18 | "he said simply" | | 19 | "She had been strong once;" |
| | ratio | 0.478 | |
| 36.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 46 | | matches | | 0 | "Aurora Carter had just set" | | 1 | "Her bright blue eyes lingered" | | 2 | "Visitors were rare, especially unannounced" | | 3 | "She crossed the narrow hallway" | | 4 | "An unexpected sight: the figure" | | 5 | "Her breath hitched." | | 6 | "The Frenchman, that piercing blend" | | 7 | "The man who had once" | | 8 | "she said, voice steady but" | | 9 | "He stepped inside without waiting" | | 10 | "His heterochromatic eyes — one" | | 11 | "he said, using that nickname" | | 12 | "Her heart slammed against her" | | 13 | "he finished for her, a" | | 14 | "The flat smelled faintly of" | | 15 | "Rory took a tentative step" | | 16 | "Lucien didn’t move past the" | | 17 | "His hand reached out briefly," | | 18 | "he said, voice low, the" | | 19 | "The weight of his words" |
| | ratio | 0.848 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "The Frenchman, that piercing blend of amber and black eyes, slicked-back platinum blond hair, and tailored charcoal suit that seemed always tailored to perfecti…" | | 1 | "He stepped inside without waiting for an invitation, his cane tapping silently but with deliberate confidence on the aged wooden floor." | | 2 | "His amber eye caught the light in a way that made her pulse catch, just like old times." |
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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, the ghost of a smile touching her lips" | | 1 | "Rory asked, voice lowering, the question hanging heavily between them" | | 2 | "he agreed, voice thick with honesty" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "he confessed (confess)" | | 1 | "he admitted (admit)" | | 2 | "she whispered (whisper)" | | 3 | "he agreed (agree)" |
| | dialogueSentences | 28 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0.364 | | effectiveRatio | 0.286 | |