| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 33 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "He stepped back [back]" |
| | dialogueSentences | 62 | | tagDensity | 0.532 | | leniency | 1 | | rawRatio | 0.061 | | effectiveRatio | 0.061 | |
| 77.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1094 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "softly" | | 3 | "quickly" |
| |
| 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 | 1094 | | totalAiIsms | 35 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "down her spine" | | count | 3 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "racing" | | 1 | "glinting" | | 2 | "unspoken" | | 3 | "tension" | | 4 | "flicker" | | 5 | "encounter" | | 6 | "rhythmic" | | 7 | "reminder" | | 8 | "pulse" | | 9 | "eyebrow" | | 10 | "down her spine" | | 11 | "chaotic" | | 12 | "testament" | | 13 | "stomach" | | 14 | "navigate" | | 15 | "pounding" | | 16 | "facade" | | 17 | "weight" | | 18 | "silence" | | 19 | "raced" | | 20 | "furrowing" | | 21 | "loomed" | | 22 | "echoed" | | 23 | "chill" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 5 | | maxInWindow | 4 | | found | | 0 | | label | "hung in the air" | | count | 2 |
| | 1 | | label | "sent a shiver through" | | count | 3 |
|
| | highlights | | 0 | "hung in the air" | | 1 | "sent a shiver down" | | 2 | "sent a chill down" |
| |
| 65.48% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 4 | | narrationSentences | 56 | | matches | | 0 | "d with disbelief" | | 1 | "the flicker of longing" | | 2 | "A flicker of relief" | | 3 | "a thrill of fear" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1092 | | 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 | 8 | | wordCount | 769 | | uniqueNames | 4 | | maxNameDensity | 0.39 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 3 | | Moreau | 1 | | Eva | 1 | | Lucien | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "quite place" | | 1 | "felt like a balm to her wounds" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1092 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 93.76% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 24.27 | | std | 11.6 | | cv | 0.478 | | sampleLengths | | 0 | 50 | | 1 | 23 | | 2 | 43 | | 3 | 24 | | 4 | 21 | | 5 | 28 | | 6 | 17 | | 7 | 28 | | 8 | 52 | | 9 | 17 | | 10 | 12 | | 11 | 54 | | 12 | 27 | | 13 | 27 | | 14 | 19 | | 15 | 18 | | 16 | 39 | | 17 | 11 | | 18 | 31 | | 19 | 17 | | 20 | 30 | | 21 | 12 | | 22 | 1 | | 23 | 21 | | 24 | 22 | | 25 | 21 | | 26 | 26 | | 27 | 12 | | 28 | 19 | | 29 | 22 | | 30 | 19 | | 31 | 43 | | 32 | 21 | | 33 | 29 | | 34 | 9 | | 35 | 24 | | 36 | 17 | | 37 | 16 | | 38 | 30 | | 39 | 16 | | 40 | 18 | | 41 | 47 | | 42 | 27 | | 43 | 13 | | 44 | 19 |
| |
| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 56 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 85 | | ratio | 0.012 | | matches | | 0 | "“Surprise,” he said, a smirk playing on his lips, but his eyes betrayed a flicker of something deeper—an emotion she couldn’t quite place." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 771 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03631647211413749 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010376134889753566 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 12.85 | | std | 6.82 | | cv | 0.531 | | sampleLengths | | 0 | 11 | | 1 | 26 | | 2 | 13 | | 3 | 23 | | 4 | 12 | | 5 | 31 | | 6 | 24 | | 7 | 21 | | 8 | 22 | | 9 | 6 | | 10 | 9 | | 11 | 8 | | 12 | 23 | | 13 | 5 | | 14 | 11 | | 15 | 23 | | 16 | 18 | | 17 | 14 | | 18 | 3 | | 19 | 6 | | 20 | 6 | | 21 | 23 | | 22 | 23 | | 23 | 8 | | 24 | 20 | | 25 | 7 | | 26 | 23 | | 27 | 4 | | 28 | 10 | | 29 | 9 | | 30 | 15 | | 31 | 3 | | 32 | 10 | | 33 | 12 | | 34 | 17 | | 35 | 11 | | 36 | 15 | | 37 | 16 | | 38 | 9 | | 39 | 8 | | 40 | 13 | | 41 | 17 | | 42 | 7 | | 43 | 5 | | 44 | 1 | | 45 | 9 | | 46 | 12 | | 47 | 11 | | 48 | 11 | | 49 | 13 |
| |
| 85.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5294117647058824 | | totalSentences | 85 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 5.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 56 | | matches | | 0 | "he said, a smirk playing" | | 1 | "she breathed, the name slipping" | | 2 | "She stepped back instinctively, her" | | 3 | "He tilted his head slightly," | | 4 | "he replied, his voice smooth," | | 5 | "She raised an eyebrow, crossing" | | 6 | "he remarked, glancing around with" | | 7 | "she replied, her tone dry" | | 8 | "He chuckled softly, the sound" | | 9 | "She could still recall the" | | 10 | "she asked, trying to mask" | | 11 | "He leaned against the wall," | | 12 | "His voice dropped an octave," | | 13 | "She hesitated, the memories of" | | 14 | "she asked, her curiosity piqued" | | 15 | "he said, his gaze locking" | | 16 | "She scoffed, crossing her arms" | | 17 | "She held up a hand," | | 18 | "He stepped closer, the air" | | 19 | "she challenged, her heart pounding" |
| | ratio | 0.536 | |
| 4.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 56 | | matches | | 0 | "The door swung open, and" | | 1 | "Lucien Moreau, impeccably dressed in" | | 2 | "The air thickened with unspoken" | | 3 | "he said, a smirk playing" | | 4 | "she breathed, the name slipping" | | 5 | "She stepped back instinctively, her" | | 6 | "He tilted his head slightly," | | 7 | "The question slipped out before" | | 8 | "he replied, his voice smooth," | | 9 | "She raised an eyebrow, crossing" | | 10 | "The use of her nickname" | | 11 | "The flat was cluttered, as" | | 12 | "Ptolemy, Eva’s tabby cat, darted" | | 13 | "he remarked, glancing around with" | | 14 | "she replied, her tone dry" | | 15 | "He chuckled softly, the sound" | | 16 | "She could still recall the" | | 17 | "she asked, trying to mask" | | 18 | "He leaned against the wall," | | 19 | "The word hung in the" |
| | ratio | 0.911 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 2 | | matches | | 0 | "She stepped back instinctively, her mind racing through the memories of their last encounter, the sharp words exchanged, the hurt that lingered like a ghost in …" | | 1 | "Ptolemy, Eva’s tabby cat, darted past Lucien’s feet, eyeing him with suspicion before retreating to a safe corner." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 33 | | uselessAdditionCount | 12 | | matches | | 0 | "she breathed, the name slipping from her lips like a secret" | | 1 | "her nickname sent, a reminder of the intimacy they once shared" | | 2 | "she replied, her tone dry" | | 3 | "she asked, trying to mask the flutter of nerves in her stomach" | | 4 | "he said, his gaze locking onto hers" | | 5 | "she challenged, her heart pounding in her chest" | | 6 | "she shot back, her anger flaring" | | 7 | "she said finally, her voice steady despite the turmoil inside" | | 8 | "she asked, her brow furrowing" | | 9 | "He stepped back, his eyes narrowing" | | 10 | "she said, her voice firm" | | 11 | "Lucien said, his voice low and urgent" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she challenged (challenge)" |
| | dialogueSentences | 62 | | tagDensity | 0.194 | | leniency | 0.387 | | rawRatio | 0.167 | | effectiveRatio | 0.065 | |