| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said flatly [flatly]" | | 1 | "Evan said softly [softly]" | | 2 | "she asked bluntly [bluntly]" | | 3 | "Aurora said flatly [flatly]" |
| | dialogueSentences | 29 | | tagDensity | 0.586 | | leniency | 1 | | rawRatio | 0.235 | | effectiveRatio | 0.235 | |
| 80.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1048 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "really" | | 2 | "very" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 42.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1048 | | totalAiIsms | 12 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | |
| | highlights | | 0 | "practiced ease" | | 1 | "familiar" | | 2 | "sense of" | | 3 | "dancing" | | 4 | "chilling" | | 5 | "charm" | | 6 | "weight" | | 7 | "desire" | | 8 | "chill" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 48 | | matches | | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 48 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 58 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1044 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 839 | | uniqueNames | 9 | | maxNameDensity | 1.19 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Silas | 1 | | Aurora | 10 | | Evan | 9 | | Cardiff | 1 | | London | 1 | | Wales | 1 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Aurora" | | 3 | "Evan" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Wales" |
| | globalScore | 0.904 | | windowScore | 0.833 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like gnawing on a piece of ice—coo" |
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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 | 1044 | | matches | (empty) | |
| 51.72% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 58 | | matches | | 0 | "hoping that her" | | 1 | "learned that lesson" |
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| 66.61% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 43.5 | | std | 16.67 | | cv | 0.383 | | sampleLengths | | 0 | 91 | | 1 | 60 | | 2 | 54 | | 3 | 52 | | 4 | 54 | | 5 | 24 | | 6 | 76 | | 7 | 29 | | 8 | 24 | | 9 | 34 | | 10 | 37 | | 11 | 24 | | 12 | 28 | | 13 | 47 | | 14 | 32 | | 15 | 48 | | 16 | 40 | | 17 | 55 | | 18 | 33 | | 19 | 24 | | 20 | 47 | | 21 | 34 | | 22 | 56 | | 23 | 41 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 48 | | matches | | 0 | "was crowded" | | 1 | "been caught" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 133 | | matches | (empty) | |
| 44.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 58 | | ratio | 0.034 | | matches | | 0 | "Recognizing the reflection felt like gnawing on a piece of ice—cool, unexpected, and just a little bit painful." | | 1 | "He hadn't changed much — still had the same well-trimmed beard, the same wire-rim glasses, the same look of quiet entitlement." |
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| 95.51% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 842 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.04513064133016627 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009501187648456057 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 58 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 58 | | mean | 18 | | std | 7.59 | | cv | 0.422 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 22 | | 3 | 11 | | 4 | 20 | | 5 | 20 | | 6 | 19 | | 7 | 21 | | 8 | 36 | | 9 | 18 | | 10 | 12 | | 11 | 24 | | 12 | 16 | | 13 | 14 | | 14 | 21 | | 15 | 19 | | 16 | 10 | | 17 | 10 | | 18 | 4 | | 19 | 13 | | 20 | 8 | | 21 | 30 | | 22 | 25 | | 23 | 24 | | 24 | 5 | | 25 | 17 | | 26 | 7 | | 27 | 24 | | 28 | 10 | | 29 | 17 | | 30 | 20 | | 31 | 15 | | 32 | 9 | | 33 | 21 | | 34 | 7 | | 35 | 11 | | 36 | 11 | | 37 | 25 | | 38 | 10 | | 39 | 22 | | 40 | 16 | | 41 | 32 | | 42 | 15 | | 43 | 25 | | 44 | 21 | | 45 | 34 | | 46 | 33 | | 47 | 16 | | 48 | 8 | | 49 | 16 |
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| 76.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5 | | totalSentences | 58 | | uniqueOpeners | 29 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 48 | | matches | | 0 | "Instead, she made her way" |
| | ratio | 0.021 | |
| 45.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 48 | | matches | | 0 | "She knew better than to" | | 1 | "She’d perfected the art of" | | 2 | "It had been three years" | | 3 | "He was the reason she" | | 4 | "He hadn't changed much —" | | 5 | "His voice was softer now," | | 6 | "She flinched at the nickname," | | 7 | "she said flatly" | | 8 | "She paused, considering whether to" | | 9 | "She settled on something in" | | 10 | "He meant it as a" | | 11 | "She remembered how his words" | | 12 | "she asked bluntly" | | 13 | "She didn't owe him any" | | 14 | "She thought of the ash" | | 15 | "She wanted to tell him" | | 16 | "She took a long sip" | | 17 | "She'd learned that lesson the" | | 18 | "She dismissed the bartender with" | | 19 | "she said, her voice as" |
| | ratio | 0.438 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 48 | | matches | | 0 | "The Raven's Nest was crowded" | | 1 | "Smoke hung in the air," | | 2 | "Aurora pushed through the crowd," | | 3 | "She knew better than to" | | 4 | "The bar was his ship" | | 5 | "She’d perfected the art of" | | 6 | "Everyone in this bar wanted" | | 7 | "The man staring back at" | | 8 | "It had been three years" | | 9 | "He was the reason she" | | 10 | "He hadn't changed much —" | | 11 | "Evan said, sliding up beside" | | 12 | "His voice was softer now," | | 13 | "She flinched at the nickname," | | 14 | "she said flatly" | | 15 | "She paused, considering whether to" | | 16 | "She settled on something in" | | 17 | "Evan had the grace to" | | 18 | "Aurora continued, hoping that her" | | 19 | "Evan said softly, glancing around" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "She’d perfected the art of looking unapproachable, a queen of frost who spoke in arctic glances and sharp shoulders." | | 1 | "As she waited for the bartender to finish serving the drink that would surely be forgotten as soon as it hit the table, Aurora caught sight of a familiar face i…" | | 2 | "She settled on something in between, her gaze flickering over her reflection and settling on the halo of light dancing over the bottles of liquor." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 5 | | matches | | 0 | "Evan said, his eyes hollowing out with regret" | | 1 | "Aurora said, her voice sharper than the rim of her glass" | | 2 | "Evan said, his voice barely rising above the murmur of the crowd" | | 3 | "Aurora said flatly, the burn of her drink still lingering on her tongue" | | 4 | "Evan said, his tone so earnest it almost hurt to hear it" |
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| 81.03% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 2 | | fancyTags | | 0 | "Aurora continued (continue)" | | 1 | "Evan promised (promise)" |
| | dialogueSentences | 29 | | tagDensity | 0.483 | | leniency | 0.966 | | rawRatio | 0.143 | | effectiveRatio | 0.138 | |