| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "She turned away [away]" | | 1 | "She turned away [away]" |
| | dialogueSentences | 96 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0.111 | | effectiveRatio | 0.042 | |
| 90.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1016 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "lazily" | | 1 | "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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1016 | | totalAiIsms | 33 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "shattered" | | 1 | "furrowing" | | 2 | "unspoken" | | 3 | "tension" | | 4 | "down her spine" | | 5 | "warmth" | | 6 | "eyebrow" | | 7 | "charged" | | 8 | "raced" | | 9 | "flickered" | | 10 | "silence" | | 11 | "simmering" | | 12 | "pounding" | | 13 | "weight" | | 14 | "intensity" | | 15 | "resolve" | | 16 | "wavering" | | 17 | "racing" | | 18 | "whisper" | | 19 | "palpable" | | 20 | "flicker" | | 21 | "magnetic" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 2 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "hung in the air" | | 1 | "sent a shiver down" |
| |
| 97.68% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 61 | | matches | | 0 | "a rush of warmth" | | 1 | "a flicker of warmth" |
| |
| 96.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 61 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1010 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 597 | | uniqueNames | 5 | | maxNameDensity | 0.84 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 1 | | Ptolemy | 1 | | Lucien | 3 | | Silence | 1 | | Aurora | 5 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Silence" | | 4 | "Aurora" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.99 | | wordCount | 1010 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 101 | | mean | 10 | | std | 9.6 | | cv | 0.96 | | sampleLengths | | 0 | 49 | | 1 | 18 | | 2 | 8 | | 3 | 34 | | 4 | 6 | | 5 | 14 | | 6 | 35 | | 7 | 1 | | 8 | 6 | | 9 | 9 | | 10 | 49 | | 11 | 11 | | 12 | 4 | | 13 | 21 | | 14 | 16 | | 15 | 10 | | 16 | 12 | | 17 | 4 | | 18 | 14 | | 19 | 4 | | 20 | 4 | | 21 | 8 | | 22 | 26 | | 23 | 16 | | 24 | 2 | | 25 | 3 | | 26 | 12 | | 27 | 1 | | 28 | 8 | | 29 | 17 | | 30 | 22 | | 31 | 26 | | 32 | 2 | | 33 | 4 | | 34 | 15 | | 35 | 5 | | 36 | 3 | | 37 | 20 | | 38 | 21 | | 39 | 11 | | 40 | 9 | | 41 | 2 | | 42 | 8 | | 43 | 5 | | 44 | 1 | | 45 | 21 | | 46 | 15 | | 47 | 1 | | 48 | 14 | | 49 | 6 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 113 | | matches | (empty) | |
| 80.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 138 | | ratio | 0.022 | | matches | | 0 | "Memories flooded back—his laughter, the way his eyes sparkled when he spoke, the warmth of his presence." | | 1 | "His heterochromatic eyes—one amber, one black—searched her face, a mix of surprise and something deeper flickering across his features." | | 2 | "Memories of their past rushed back—late-night conversations, shared laughter, the way he made her feel alive." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 603 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.026533996683250415 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006633499170812604 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 7.32 | | std | 4.53 | | cv | 0.619 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 14 | | 3 | 6 | | 4 | 12 | | 5 | 8 | | 6 | 7 | | 7 | 9 | | 8 | 18 | | 9 | 6 | | 10 | 14 | | 11 | 8 | | 12 | 17 | | 13 | 10 | | 14 | 1 | | 15 | 6 | | 16 | 9 | | 17 | 16 | | 18 | 14 | | 19 | 19 | | 20 | 11 | | 21 | 4 | | 22 | 7 | | 23 | 14 | | 24 | 16 | | 25 | 6 | | 26 | 4 | | 27 | 12 | | 28 | 4 | | 29 | 8 | | 30 | 6 | | 31 | 4 | | 32 | 4 | | 33 | 3 | | 34 | 5 | | 35 | 12 | | 36 | 14 | | 37 | 8 | | 38 | 8 | | 39 | 2 | | 40 | 3 | | 41 | 9 | | 42 | 3 | | 43 | 1 | | 44 | 8 | | 45 | 13 | | 46 | 4 | | 47 | 14 | | 48 | 8 | | 49 | 10 |
| |
| 70.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.43478260869565216 | | totalSentences | 138 | | uniqueOpeners | 60 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 61 | | matches | | 0 | "She stirred a pot of" | | 1 | "She wiped her hands on" | | 2 | "she muttered, her brow furrowing" | | 3 | "She approached the door, her" | | 4 | "They hadn’t spoken since that" | | 5 | "His voice, smooth and commanding," | | 6 | "She hesitated, her fingers hovering" | | 7 | "She took a breath, steeling" | | 8 | "His heterochromatic eyes—one amber, one" | | 9 | "she said, her voice steady" | | 10 | "She stepped aside, allowing him" | | 11 | "he remarked, glancing around at" | | 12 | "she replied, crossing her arms" | | 13 | "He turned to face her," | | 14 | "She raised an eyebrow, skepticism" | | 15 | "She stepped closer, the distance" | | 16 | "He sighed, running a hand" | | 17 | "She shook her head, frustration" | | 18 | "His voice softened, and for" | | 19 | "She studied him, the way" |
| | ratio | 0.639 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 61 | | matches | | 0 | "Aurora stood in the cramped" | | 1 | "She stirred a pot of" | | 2 | "The tabby cat, Ptolemy, lounged" | | 3 | "A sudden knock shattered the" | | 4 | "She wiped her hands on" | | 5 | "she muttered, her brow furrowing" | | 6 | "She approached the door, her" | | 7 | "The last person she expected" | | 8 | "They hadn’t spoken since that" | | 9 | "Another knock, more insistent this" | | 10 | "His voice, smooth and commanding," | | 11 | "She hesitated, her fingers hovering" | | 12 | "Memories flooded back—his laughter, the" | | 13 | "She took a breath, steeling" | | 14 | "Lucien stood there, impeccably dressed" | | 15 | "His heterochromatic eyes—one amber, one" | | 16 | "she said, her voice steady" | | 17 | "She stepped aside, allowing him" | | 18 | "The flat felt smaller with" | | 19 | "he remarked, glancing around at" |
| | ratio | 0.934 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "Aurora turned away, her gaze landing on the pot simmering on the stove." | | 1 | "Aurora felt the weight of their history pressing down on her, the unresolved feelings swirling between them." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 11 | | matches | | 0 | "she muttered, her brow furrowing" | | 1 | "she said, her voice steady despite the whirlwind inside her" | | 2 | "She raised, skepticism creeping in" | | 3 | "She shook, frustration bubbling to the surface" | | 4 | "he said, his voice low" | | 5 | "she relented, her resolve wavering" | | 6 | "She rubbed, frustration bubbling up again" | | 7 | "She turned away, her heart racing" | | 8 | "she said, her voice barely above a whisper" | | 9 | "She turned away, her heart aching" | | 10 | "she said, her voice steady" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "She laughed (laugh)" |
| | dialogueSentences | 96 | | tagDensity | 0.073 | | leniency | 0.146 | | rawRatio | 0.286 | | effectiveRatio | 0.042 | |