| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 39 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.056 | | effectiveRatio | 0.051 | |
| 73.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 955 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 1 |
| | 4 | |
| | highlights | | 0 | "quickly" | | 1 | "carefully" | | 2 | "slightly" | | 3 | "deliberately" | | 4 | "slowly" |
| |
| 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) | |
| 37.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 955 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "etched" | | 1 | "glint" | | 2 | "weight" | | 3 | "eyebrow" | | 4 | "chill" | | 5 | "down her spine" | | 6 | "echo" | | 7 | "flickered" | | 8 | "pounding" | | 9 | "unreadable" | | 10 | "comfortable" |
| |
| 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 |
|
| | highlights | | 0 | "the weight of his words" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 49 | | matches | | |
| 84.55% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 49 | | filterMatches | | | hedgeMatches | | |
| 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 | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 954 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 653 | | uniqueNames | 5 | | maxNameDensity | 0.92 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Raven | 1 | | Nest | 1 | | Aurora | 5 | | Silas | 6 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Aurora" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "r patrons, all seemingly lost in their own w" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 954 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 74.34% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 39.75 | | std | 16.31 | | cv | 0.41 | | sampleLengths | | 0 | 77 | | 1 | 21 | | 2 | 72 | | 3 | 36 | | 4 | 47 | | 5 | 24 | | 6 | 60 | | 7 | 41 | | 8 | 56 | | 9 | 30 | | 10 | 30 | | 11 | 16 | | 12 | 21 | | 13 | 28 | | 14 | 39 | | 15 | 28 | | 16 | 37 | | 17 | 35 | | 18 | 39 | | 19 | 38 | | 20 | 58 | | 21 | 59 | | 22 | 18 | | 23 | 44 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 49 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 118 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 70 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 654 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.039755351681957186 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.019877675840978593 | |
| 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 | 13.63 | | std | 5.96 | | cv | 0.438 | | sampleLengths | | 0 | 27 | | 1 | 16 | | 2 | 16 | | 3 | 18 | | 4 | 12 | | 5 | 9 | | 6 | 20 | | 7 | 25 | | 8 | 10 | | 9 | 11 | | 10 | 6 | | 11 | 15 | | 12 | 21 | | 13 | 25 | | 14 | 17 | | 15 | 5 | | 16 | 15 | | 17 | 9 | | 18 | 21 | | 19 | 8 | | 20 | 6 | | 21 | 13 | | 22 | 12 | | 23 | 12 | | 24 | 16 | | 25 | 13 | | 26 | 17 | | 27 | 11 | | 28 | 10 | | 29 | 18 | | 30 | 16 | | 31 | 14 | | 32 | 15 | | 33 | 4 | | 34 | 11 | | 35 | 9 | | 36 | 7 | | 37 | 9 | | 38 | 12 | | 39 | 12 | | 40 | 16 | | 41 | 22 | | 42 | 12 | | 43 | 5 | | 44 | 9 | | 45 | 15 | | 46 | 4 | | 47 | 17 | | 48 | 14 | | 49 | 6 |
| |
| 78.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4714285714285714 | | totalSentences | 70 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 49 | | matches | | 0 | "Then, slowly, he extended his" | | 1 | "Then, without looking back, she" |
| | ratio | 0.041 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 49 | | matches | | 0 | "She tugged at the collar" | | 1 | "She turned to see a" | | 2 | "It took her a moment" | | 3 | "she said, a tentative smile" | | 4 | "he agreed, raising his glass" | | 5 | "she joked, trying to keep" | | 6 | "it was a lot to" | | 7 | "she asked, gesturing to the" | | 8 | "he said, swirling the amber" | | 9 | "She'd changed, yes, but not" | | 10 | "she agreed, choosing her words" | | 11 | "He arched an eyebrow, a" | | 12 | "She considered the question, sifting" | | 13 | "she said finally" | | 14 | "she countered, leaning in slightly" | | 15 | "He took a long drink" | | 16 | "she asked, her voice softer" | | 17 | "he said, his tone deliberately" | | 18 | "She felt the loss of" | | 19 | "she murmured, more to herself" |
| | ratio | 0.571 | |
| 41.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 49 | | matches | | 0 | "Aurora Carter stood at the" | | 1 | "The dimly lit interior of" | | 2 | "She tugged at the collar" | | 3 | "A voice from her past" | | 4 | "She turned to see a" | | 5 | "It took her a moment" | | 6 | "she said, a tentative smile" | | 7 | "he agreed, raising his glass" | | 8 | "Aurora self-consciously touched her hair," | | 9 | "she joked, trying to keep" | | 10 | "Silas drummed his fingers against" | | 11 | "The bartender placed her drink" | | 12 | "it was a lot to" | | 13 | "she asked, gesturing to the" | | 14 | "A shadow crossed his face," | | 15 | "he said, swirling the amber" | | 16 | "Aurora felt the weight of" | | 17 | "She'd changed, yes, but not" | | 18 | "she agreed, choosing her words" | | 19 | "He arched an eyebrow, a" |
| | ratio | 0.837 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "Aurora Carter stood at the bar, her fingers drumming a nervous rhythm against the polished oak as she waited for the bartender to finish pouring her pint." | | 1 | "She released his hand, taking a step back from the railing that separated them." | | 2 | "Then, without looking back, she turned and walked out of the bar, out of his life, carrying the weight of their shared past with her into the uncertain future." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 10 | | matches | | 0 | "she said, a tentative smile spreading across her face" | | 1 | "she joked, trying to keep her tone light" | | 2 | "He arched, a smirk tugging at the corner of his mouth" | | 3 | "she asked, her voice softer" | | 4 | "he said, his tone deliberately light" | | 5 | "she murmured, more to herself than to him" | | 6 | "he replied, his voice equally low" | | 7 | "she said, her voice steady despite the pounding of her heart" | | 8 | "he said, a hint of wistfulness in his voice" | | 9 | "he said, a ghost of his old smile flitting across his face" |
| |
| 47.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 4 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "she joked (joke)" | | 2 | "she agreed (agree)" | | 3 | "she murmured (murmur)" |
| | dialogueSentences | 39 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.267 | | effectiveRatio | 0.205 | |