| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "His fingers tightened around [around]" | | 1 | "She turned away [away]" |
| | dialogueSentences | 65 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.154 | | effectiveRatio | 0.062 | |
| 70.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 852 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "slowly" | | 1 | "softly" | | 2 | "slightly" | | 3 | "barely above a whisper" |
| |
| 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) | |
| 29.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 852 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "intensity" | | 1 | "silence" | | 2 | "weight" | | 3 | "flicked" | | 4 | "down her spine" | | 5 | "pulse" | | 6 | "jaw clenched" | | 7 | "familiar" | | 8 | "whisper" | | 9 | "traced" | | 10 | "stomach" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "jaw clenched" | | 1 | "The weight of those words" | | 2 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 843 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 614 | | uniqueNames | 4 | | maxNameDensity | 1.3 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 2 | | Ptolemy | 2 | | Rory | 8 | | Lucien | 6 |
| | persons | | 0 | "Moreau" | | 1 | "Ptolemy" | | 2 | "Rory" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 0.849 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a man who hadn’t slept in day" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 843 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 10.16 | | std | 8.92 | | cv | 0.879 | | sampleLengths | | 0 | 39 | | 1 | 34 | | 2 | 3 | | 3 | 6 | | 4 | 37 | | 5 | 8 | | 6 | 6 | | 7 | 8 | | 8 | 15 | | 9 | 1 | | 10 | 10 | | 11 | 19 | | 12 | 11 | | 13 | 7 | | 14 | 16 | | 15 | 3 | | 16 | 2 | | 17 | 1 | | 18 | 10 | | 19 | 11 | | 20 | 6 | | 21 | 8 | | 22 | 1 | | 23 | 9 | | 24 | 14 | | 25 | 14 | | 26 | 16 | | 27 | 6 | | 28 | 5 | | 29 | 42 | | 30 | 7 | | 31 | 22 | | 32 | 1 | | 33 | 4 | | 34 | 1 | | 35 | 1 | | 36 | 4 | | 37 | 6 | | 38 | 25 | | 39 | 13 | | 40 | 3 | | 41 | 4 | | 42 | 5 | | 43 | 9 | | 44 | 12 | | 45 | 12 | | 46 | 15 | | 47 | 11 | | 48 | 9 | | 49 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 120 | | matches | (empty) | |
| 61.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 140 | | ratio | 0.029 | | matches | | 0 | "The scent of bergamot and something darker—smoke, maybe—drifted between them." | | 1 | "His mismatched eyes—amber and black—locked onto hers with the same unsettling intensity." | | 2 | "The way he said it—quiet, almost reluctant—sent a prickle down her spine." | | 3 | "His scent wrapped around her—bergamot and smoke, familiar and infuriating." |
| |
| 91.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 210 | | adjectiveStacks | 1 | | stackExamples | | 0 | "damned ivory-handled cane" |
| | adverbCount | 9 | | adverbRatio | 0.04285714285714286 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.014285714285714285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 6.02 | | std | 4.23 | | cv | 0.703 | | sampleLengths | | 0 | 8 | | 1 | 21 | | 2 | 10 | | 3 | 7 | | 4 | 15 | | 5 | 12 | | 6 | 3 | | 7 | 3 | | 8 | 3 | | 9 | 3 | | 10 | 24 | | 11 | 6 | | 12 | 4 | | 13 | 4 | | 14 | 4 | | 15 | 6 | | 16 | 7 | | 17 | 1 | | 18 | 11 | | 19 | 4 | | 20 | 1 | | 21 | 9 | | 22 | 1 | | 23 | 9 | | 24 | 10 | | 25 | 6 | | 26 | 5 | | 27 | 7 | | 28 | 10 | | 29 | 6 | | 30 | 3 | | 31 | 2 | | 32 | 1 | | 33 | 6 | | 34 | 4 | | 35 | 4 | | 36 | 7 | | 37 | 4 | | 38 | 2 | | 39 | 3 | | 40 | 5 | | 41 | 1 | | 42 | 9 | | 43 | 5 | | 44 | 9 | | 45 | 9 | | 46 | 5 | | 47 | 8 | | 48 | 8 | | 49 | 6 |
| |
| 63.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4 | | totalSentences | 140 | | uniqueOpeners | 56 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Instead, she whispered," | | 1 | "Then, slowly, he lifted her" |
| | ratio | 0.027 | |
| 33.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 75 | | matches | | 0 | "His mismatched eyes—amber and black—locked" | | 1 | "His mouth quirked." | | 2 | "She crossed her arms." | | 3 | "He didn’t budge" | | 4 | "He sighed, rubbing his thumb" | | 5 | "Her voice came out sharper" | | 6 | "She started to shut the" | | 7 | "His cane shot out, stopping" | | 8 | "His grip tightened on the" | | 9 | "She narrowed her eyes." | | 10 | "His expression darkened." | | 11 | "His voice dropped, rough at" | | 12 | "She stepped aside." | | 13 | "His cane tapped softly against" | | 14 | "He turned to face her," | | 15 | "He looked like a man" | | 16 | "His fingers tightened around the" | | 17 | "His gaze held hers." | | 18 | "Her pulse jumped." | | 19 | "His jaw clenched." |
| | ratio | 0.467 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 75 | | matches | | 0 | "The three deadbolts clicked open" | | 1 | "Rory stood in the doorway," | | 2 | "The scent of bergamot and" | | 3 | "Lucien Moreau looked exactly as" | | 4 | "His mismatched eyes—amber and black—locked" | | 5 | "His mouth quirked." | | 6 | "Rory didn’t move." | | 7 | "The last time she’d seen" | | 8 | "That had been six months" | | 9 | "She crossed her arms." | | 10 | "He didn’t budge" | | 11 | "Ptolemy wound between Rory’s ankles," | | 12 | "Lucien glanced down at the" | | 13 | "He sighed, rubbing his thumb" | | 14 | "Her voice came out sharper" | | 15 | "A muscle twitched in his" | | 16 | "She started to shut the" | | 17 | "His cane shot out, stopping" | | 18 | "The wood creaked under the" | | 19 | "His grip tightened on the" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 65 | | tagDensity | 0.062 | | leniency | 0.123 | | rawRatio | 0.5 | | effectiveRatio | 0.062 | |