| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 860 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "ever so slightly" | | count | 1 |
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| | highlights | | 0 | "truly" | | 1 | "ever so slightly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 860 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "comforting" | | 1 | "calculated" | | 2 | "warmth" | | 3 | "facade" | | 4 | "eyebrow" | | 5 | "flicker" | | 6 | "tension" | | 7 | "dance" | | 8 | "navigating" | | 9 | "unspoken" | | 10 | "silence" | | 11 | "flickered" | | 12 | "whisper" | | 13 | "chaotic" | | 14 | "tinged" | | 15 | "weight" |
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| 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 | 1 | | narrationSentences | 37 | | matches | | |
| 65.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 37 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | 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 | 1 | | markdownWords | 3 | | totalWords | 856 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 28.68% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 577 | | uniqueNames | 7 | | maxNameDensity | 2.43 | | worstName | "Evan" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Aurora | 1 | | Carter | 1 | | Raven | 1 | | Nest | 1 | | Rory | 12 | | Evan | 14 | | Mangling | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Raven" | | 3 | "Rory" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 0.287 | | windowScore | 0.5 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 1 | | matches | | 0 | "as if navigating a minefield" |
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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 | 856 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 96.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 34.24 | | std | 16.64 | | cv | 0.486 | | sampleLengths | | 0 | 3 | | 1 | 80 | | 2 | 11 | | 3 | 59 | | 4 | 24 | | 5 | 32 | | 6 | 28 | | 7 | 34 | | 8 | 25 | | 9 | 43 | | 10 | 21 | | 11 | 24 | | 12 | 27 | | 13 | 31 | | 14 | 21 | | 15 | 34 | | 16 | 38 | | 17 | 51 | | 18 | 65 | | 19 | 20 | | 20 | 21 | | 21 | 38 | | 22 | 48 | | 23 | 38 | | 24 | 40 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 37 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 88 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 51 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 579 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 22 | | adverbRatio | 0.037996545768566495 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.013816925734024179 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 16.78 | | std | 7.88 | | cv | 0.469 | | sampleLengths | | 0 | 3 | | 1 | 23 | | 2 | 20 | | 3 | 16 | | 4 | 21 | | 5 | 11 | | 6 | 38 | | 7 | 21 | | 8 | 22 | | 9 | 2 | | 10 | 15 | | 11 | 17 | | 12 | 17 | | 13 | 11 | | 14 | 12 | | 15 | 22 | | 16 | 14 | | 17 | 11 | | 18 | 16 | | 19 | 27 | | 20 | 21 | | 21 | 12 | | 22 | 12 | | 23 | 8 | | 24 | 14 | | 25 | 5 | | 26 | 17 | | 27 | 14 | | 28 | 13 | | 29 | 8 | | 30 | 34 | | 31 | 25 | | 32 | 13 | | 33 | 25 | | 34 | 26 | | 35 | 10 | | 36 | 20 | | 37 | 15 | | 38 | 20 | | 39 | 7 | | 40 | 13 | | 41 | 12 | | 42 | 9 | | 43 | 16 | | 44 | 22 | | 45 | 12 | | 46 | 15 | | 47 | 21 | | 48 | 11 | | 49 | 27 |
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| 91.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5490196078431373 | | totalSentences | 51 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 37 | | matches | | 0 | "Then, with a subtle shake" | | 1 | "Then, with a whisper, she" |
| | ratio | 0.054 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 37 | | matches | | 0 | "His eyes, once bright with" | | 1 | "she replied, the coolness in" | | 2 | "Their drinks arrived, and Evan" | | 3 | "Their conversation wove through the" | | 4 | "It was in one of" |
| | ratio | 0.135 | |
| 41.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 31 | | totalSentences | 37 | | matches | | 0 | "**Whiskey and Regret**" | | 1 | "Aurora Carter's fingers instinctively found" | | 2 | "The Raven's Nest was always" | | 3 | "Silas, the owner, always knew" | | 4 | "Tonight, however, Rory's gaze drifted" | | 5 | "The name slipped out, barely" | | 6 | "The man who once was" | | 7 | "His eyes, once bright with" | | 8 | "Evan said, his voice low" | | 9 | "Rory's grip on her whiskey" | | 10 | "The bartender, sensing the shift" | | 11 | "she replied, the coolness in" | | 12 | "Evan signaled the bartender for" | | 13 | "Rory raised an eyebrow, the" | | 14 | "Their drinks arrived, and Evan" | | 15 | "Rory replied, the understatement hanging" | | 16 | "Evan's smile deepened, but his" | | 17 | "The tension between them hummed," | | 18 | "Rory took a sip of" | | 19 | "Evan agreed, his gaze drifting" |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 37 | | matches | (empty) | | ratio | 0 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 4 | | matches | | 0 | "Tonight, however, Rory's gaze drifted towards the entrance, her bright blue eyes locking onto a figure that made her heart stumble." | | 1 | "His eyes, once bright with a mischief that drew her in, now seemed to hold a calculated warmth as he approached." | | 2 | "Their conversation wove through the years, touching on mutual acquaintances and shared memories, each topic approached with a cautious dance, as if navigating a…" | | 3 | "With that, Evan slid off the stool, the suit blending seamlessly into the crowd as he made his exit, leaving Rory alone with her thoughts, the weight of time an…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 19.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "Evan agreed (agree)" | | 1 | "that Rory found (find)" | | 2 | "Evan interrupted (interrupt)" |
| | dialogueSentences | 23 | | tagDensity | 0.348 | | leniency | 0.696 | | rawRatio | 0.375 | | effectiveRatio | 0.261 | |