| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "she admitted finally [finally]" |
| | dialogueSentences | 81 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.111 | | effectiveRatio | 0.025 | |
| 95.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1238 | | 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) | |
| 43.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1238 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "eyebrow" | | 1 | "traced" | | 2 | "chaotic" | | 3 | "gleaming" | | 4 | "silence" | | 5 | "weight" | | 6 | "flicked" | | 7 | "stomach" | | 8 | "beacon" | | 9 | "pulse" | | 10 | "unspoken" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "stomach dropped" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 92 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 1232 | | ratio | 0.003 | | matches | | 0 | "funny" | | 1 | "you" | | 2 | "fuck" | | 3 | "you" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 772 | | uniqueNames | 4 | | maxNameDensity | 2.07 | | worstName | "Eva" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Rory" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 0.464 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1232 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 80 | | mean | 15.4 | | std | 12.23 | | cv | 0.794 | | sampleLengths | | 0 | 25 | | 1 | 4 | | 2 | 21 | | 3 | 21 | | 4 | 27 | | 5 | 11 | | 6 | 21 | | 7 | 38 | | 8 | 70 | | 9 | 26 | | 10 | 5 | | 11 | 17 | | 12 | 1 | | 13 | 5 | | 14 | 42 | | 15 | 21 | | 16 | 14 | | 17 | 17 | | 18 | 24 | | 19 | 7 | | 20 | 3 | | 21 | 26 | | 22 | 9 | | 23 | 11 | | 24 | 21 | | 25 | 15 | | 26 | 6 | | 27 | 15 | | 28 | 34 | | 29 | 9 | | 30 | 11 | | 31 | 7 | | 32 | 10 | | 33 | 18 | | 34 | 4 | | 35 | 6 | | 36 | 10 | | 37 | 20 | | 38 | 25 | | 39 | 4 | | 40 | 6 | | 41 | 25 | | 42 | 17 | | 43 | 2 | | 44 | 27 | | 45 | 14 | | 46 | 7 | | 47 | 9 | | 48 | 8 | | 49 | 55 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 92 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 139 | | matches | | |
| 71.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 161 | | ratio | 0.025 | | matches | | 0 | "The door swung open just wide enough to reveal a sliver of Eva’s face—eyes narrowed, one eyebrow arched." | | 1 | "The flat was exactly as he remembered—chaotic, alive with the hum of a dozen half-finished thoughts." | | 2 | "He turned, the heterochromatic glare of his eyes catching the lamplight—amber and void." | | 3 | "His gaze flicked to the scar on her wrist—the one she’d gotten the last time she’d trusted him." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 595 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.03529411764705882 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008403361344537815 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 7.65 | | std | 5.93 | | cv | 0.775 | | sampleLengths | | 0 | 4 | | 1 | 3 | | 2 | 18 | | 3 | 4 | | 4 | 3 | | 5 | 15 | | 6 | 3 | | 7 | 4 | | 8 | 17 | | 9 | 10 | | 10 | 10 | | 11 | 7 | | 12 | 6 | | 13 | 5 | | 14 | 17 | | 15 | 4 | | 16 | 12 | | 17 | 21 | | 18 | 5 | | 19 | 25 | | 20 | 16 | | 21 | 9 | | 22 | 20 | | 23 | 26 | | 24 | 4 | | 25 | 1 | | 26 | 13 | | 27 | 4 | | 28 | 1 | | 29 | 5 | | 30 | 19 | | 31 | 23 | | 32 | 6 | | 33 | 15 | | 34 | 6 | | 35 | 3 | | 36 | 5 | | 37 | 3 | | 38 | 3 | | 39 | 9 | | 40 | 2 | | 41 | 9 | | 42 | 15 | | 43 | 6 | | 44 | 1 | | 45 | 3 | | 46 | 13 | | 47 | 8 | | 48 | 5 | | 49 | 6 |
| |
| 56.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3416149068322981 | | totalSentences | 161 | | uniqueOpeners | 55 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 86 | | matches | | 0 | "Just enough to stop her." | | 1 | "Then she stepped inside." |
| | ratio | 0.023 | |
| 85.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 86 | | matches | | 0 | "His cane tapped once against" | | 1 | "His voice was smooth, unhurried" | | 2 | "She exhaled through her nose," | | 3 | "He stepped inside, shaking the" | | 4 | "He turned, the heterochromatic glare" | | 5 | "She reached for the kettle," | | 6 | "She spun around." | | 7 | "His expression sobered." | | 8 | "She tossed a teabag into" | | 9 | "His fingers stilled on the" | | 10 | "She wiped her palm on" | | 11 | "His gaze flicked to the" | | 12 | "She shook her head" | | 13 | "His fingers tightened around the" | | 14 | "she admitted finally" | | 15 | "She grabbed her jacket off" | | 16 | "His hand shot out, fingers" | | 17 | "She laughed, sharp and humourless." | | 18 | "His mouth quirked, just slightly." | | 19 | "She shot him a glare." |
| | ratio | 0.337 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 86 | | matches | | 0 | "The third deadbolt clicked." | | 1 | "A chain rattled." | | 2 | "The door swung open just" | | 3 | "Lucien didn’t flinch." | | 4 | "His cane tapped once against" | | 5 | "The door didn’t budge." | | 6 | "His voice was smooth, unhurried" | | 7 | "The kind of voice that" | | 8 | "Eva’s fingers tightened around the" | | 9 | "A single drop slid from" | | 10 | "She exhaled through her nose," | | 11 | "The door opened another inch," | | 12 | "He stepped inside, shaking the" | | 13 | "The flat was exactly as" | | 14 | "Scrolls unrolled across the coffee" | | 15 | "A teacup, long cold, sat" | | 16 | "Ptolemy, the tabby, lifted his" | | 17 | "Eva crossed her arms." | | 18 | "He turned, the heterochromatic glare" | | 19 | "She reached for the kettle," |
| | ratio | 0.965 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she admitted finally (admit)" | | 1 | "Eva snapped (snap)" | | 2 | "His voice (his voice)" |
| | dialogueSentences | 81 | | tagDensity | 0.037 | | leniency | 0.074 | | rawRatio | 1 | | effectiveRatio | 0.074 | |