| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.226 | | leniency | 0.453 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 971 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 43.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 971 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "scanning" | | 1 | "stomach" | | 2 | "flicked" | | 3 | "pulse" | | 4 | "intensity" | | 5 | "silence" | | 6 | "unspoken" | | 7 | "tracing" | | 8 | "familiar" | | 9 | "racing" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 966 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 569 | | uniqueNames | 4 | | maxNameDensity | 0.88 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 4 | | Lucien | 5 | | Ptolemy | 2 | | Malphora | 2 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Ptolemy" | | 3 | "Malphora" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | 0 | "as if expecting Lucien to return" |
| |
| 96.48% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.035 | | wordCount | 966 | | matches | | 0 | "not Eva but a platinum blond silhouette against the dim hallway light" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 17.56 | | std | 13.11 | | cv | 0.746 | | sampleLengths | | 0 | 48 | | 1 | 1 | | 2 | 31 | | 3 | 34 | | 4 | 6 | | 5 | 26 | | 6 | 6 | | 7 | 8 | | 8 | 41 | | 9 | 5 | | 10 | 19 | | 11 | 29 | | 12 | 5 | | 13 | 33 | | 14 | 7 | | 15 | 21 | | 16 | 5 | | 17 | 10 | | 18 | 5 | | 19 | 13 | | 20 | 4 | | 21 | 27 | | 22 | 3 | | 23 | 18 | | 24 | 19 | | 25 | 32 | | 26 | 3 | | 27 | 21 | | 28 | 16 | | 29 | 39 | | 30 | 6 | | 31 | 20 | | 32 | 30 | | 33 | 16 | | 34 | 5 | | 35 | 32 | | 36 | 17 | | 37 | 6 | | 38 | 44 | | 39 | 12 | | 40 | 21 | | 41 | 6 | | 42 | 2 | | 43 | 3 | | 44 | 10 | | 45 | 10 | | 46 | 26 | | 47 | 16 | | 48 | 5 | | 49 | 12 |
| |
| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 98 | | matches | | |
| 57.14% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 100 | | ratio | 0.03 | | matches | | 0 | "The scent of expensive cologne and something else—ozone and old books—wafted into the small flat." | | 1 | "He stepped inside, his heterochromatic eyes—one amber, one black—scanning the space." | | 2 | "Lucien was right about one thing—I was out of my depth." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 413 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.026634382566585957 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 9.66 | | std | 5.64 | | cv | 0.584 | | sampleLengths | | 0 | 20 | | 1 | 13 | | 2 | 15 | | 3 | 1 | | 4 | 17 | | 5 | 6 | | 6 | 8 | | 7 | 11 | | 8 | 10 | | 9 | 13 | | 10 | 6 | | 11 | 23 | | 12 | 3 | | 13 | 6 | | 14 | 3 | | 15 | 5 | | 16 | 17 | | 17 | 23 | | 18 | 1 | | 19 | 5 | | 20 | 19 | | 21 | 13 | | 22 | 16 | | 23 | 5 | | 24 | 14 | | 25 | 19 | | 26 | 7 | | 27 | 11 | | 28 | 10 | | 29 | 4 | | 30 | 1 | | 31 | 4 | | 32 | 6 | | 33 | 5 | | 34 | 10 | | 35 | 3 | | 36 | 4 | | 37 | 13 | | 38 | 14 | | 39 | 3 | | 40 | 18 | | 41 | 12 | | 42 | 7 | | 43 | 7 | | 44 | 11 | | 45 | 14 | | 46 | 3 | | 47 | 14 | | 48 | 7 | | 49 | 6 |
| |
| 76.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.47 | | totalSentences | 100 | | uniqueOpeners | 47 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | 0 | "Only Ptolemy's soft purring broke" |
| | ratio | 0.017 | |
| 9.83% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 59 | | matches | | 0 | "My hand tightened on the" | | 1 | "He stepped inside, his heterochromatic" | | 2 | "His gaze lingered on the" | | 3 | "I moved to block his" | | 4 | "My stomach clenched." | | 5 | "He ignored the question, his" | | 6 | "He tapped a finger on" | | 7 | "he said, turning back to" | | 8 | "I picked up a notepad" | | 9 | "He flicked his tail in" | | 10 | "My blood ran cold." | | 11 | "He inclined his head." | | 12 | "He straightened his suit jacket," | | 13 | "He took a step closer" | | 14 | "I could smell the leather" | | 15 | "His voice dropped lower, more" | | 16 | "My pulse hammered in my" | | 17 | "He was so close now" | | 18 | "He straightened, the intensity vanishing" | | 19 | "He moved toward the door," |
| | ratio | 0.525 | |
| 36.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 59 | | matches | | 0 | "The door to Eva's flat" | | 1 | "A tailored charcoal suit hugged" | | 2 | "The scent of expensive cologne" | | 3 | "My hand tightened on the" | | 4 | "The metal bit into my" | | 5 | "He stepped inside, his heterochromatic" | | 6 | "Every surface was buried under" | | 7 | "His gaze lingered on the" | | 8 | "I moved to block his" | | 9 | "My stomach clenched." | | 10 | "He ignored the question, his" | | 11 | "He tapped a finger on" | | 12 | "he said, turning back to" | | 13 | "I picked up a notepad" | | 14 | "Ptolemy, Eva's tabby cat, stretched" | | 15 | "He flicked his tail in" | | 16 | "Lucien's lips curved into a" | | 17 | "My blood ran cold." | | 18 | "He inclined his head." | | 19 | "The amusement in his voice" |
| | ratio | 0.847 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 59 | | matches | | 0 | "If Lucien was Malphora's messenger," |
| | ratio | 0.017 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "Lucien's lips curved into a smile that didn't reach his eyes." | | 1 | "He hopped off the windowsill and rubbed against my legs, then stared at the door as if expecting Lucien to return." |
| |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "He straightened, the intensity vanishing as quickly as it had arrived" |
| |
| 93.40% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "He flicked (flick)" | | 1 | "I muttered (mutter)" | | 2 | "I lied (lie)" |
| | dialogueSentences | 53 | | tagDensity | 0.075 | | leniency | 0.151 | | rawRatio | 0.75 | | effectiveRatio | 0.113 | |