| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "She exhaled sharply [sharply]" |
| | dialogueSentences | 21 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.2 | | effectiveRatio | 0.095 | |
| 73.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 575 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "sharply" | | 1 | "suddenly" | | 2 | "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) | |
| 13.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 575 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "pulse" | | 2 | "flicked" | | 3 | "silk" | | 4 | "whisper" | | 5 | "shattered" | | 6 | "unspoken" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 47 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 47 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 571 | | ratio | 0.005 | | matches | | 0 | "things" | | 1 | "collecting" | | 2 | "this" |
| |
| 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 | 17 | | wordCount | 476 | | uniqueNames | 7 | | maxNameDensity | 0.84 | | worstName | "Eva" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 4 | | Carter | 1 | | Rory | 2 | | Ptolemy | 1 | | London | 1 | | Lucien | 4 | | Aurora | 4 |
| | persons | | 0 | "Eva" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Ptolemy" | | 4 | "Lucien" | | 5 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 28 | | 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 | 571 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 63 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 21.96 | | std | 18.45 | | cv | 0.84 | | sampleLengths | | 0 | 17 | | 1 | 77 | | 2 | 16 | | 3 | 63 | | 4 | 8 | | 5 | 9 | | 6 | 21 | | 7 | 13 | | 8 | 21 | | 9 | 41 | | 10 | 23 | | 11 | 8 | | 12 | 43 | | 13 | 22 | | 14 | 12 | | 15 | 34 | | 16 | 17 | | 17 | 12 | | 18 | 7 | | 19 | 15 | | 20 | 8 | | 21 | 17 | | 22 | 52 | | 23 | 7 | | 24 | 3 | | 25 | 5 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 88 | | matches | (empty) | |
| 52.15% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 63 | | ratio | 0.032 | | matches | | 0 | "Aurora Carter—Rory—hadn’t expected him." | | 1 | "The air in the flat hit her like a physical blow—cold, sharp, the scent of old books and something metallic, like the edge of a blade unsheathed." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 285 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.028070175438596492 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0035087719298245615 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 9.06 | | std | 7.76 | | cv | 0.856 | | sampleLengths | | 0 | 17 | | 1 | 4 | | 2 | 3 | | 3 | 30 | | 4 | 40 | | 5 | 9 | | 6 | 7 | | 7 | 3 | | 8 | 5 | | 9 | 15 | | 10 | 27 | | 11 | 13 | | 12 | 3 | | 13 | 3 | | 14 | 2 | | 15 | 6 | | 16 | 3 | | 17 | 18 | | 18 | 3 | | 19 | 10 | | 20 | 3 | | 21 | 14 | | 22 | 7 | | 23 | 10 | | 24 | 2 | | 25 | 19 | | 26 | 8 | | 27 | 2 | | 28 | 14 | | 29 | 9 | | 30 | 3 | | 31 | 5 | | 32 | 10 | | 33 | 4 | | 34 | 3 | | 35 | 26 | | 36 | 14 | | 37 | 8 | | 38 | 10 | | 39 | 2 | | 40 | 16 | | 41 | 14 | | 42 | 4 | | 43 | 3 | | 44 | 4 | | 45 | 10 | | 46 | 9 | | 47 | 3 | | 48 | 3 | | 49 | 4 |
| |
| 49.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.36507936507936506 | | totalSentences | 63 | | uniqueOpeners | 23 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 45 | | matches | | 0 | "Just stepped inside, the door" |
| | ratio | 0.022 | |
| 95.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 45 | | matches | | 0 | "she breathed, her fingers hovering" | | 1 | "He didn’t answer." | | 2 | "His gaze flicked to the" | | 3 | "She exhaled sharply, her fingers" | | 4 | "His voice was smooth, too" | | 5 | "She didn’t need to ask" | | 6 | "She’d known since the night" | | 7 | "she said, her voice steadier" | | 8 | "She should’ve been angry." | | 9 | "she repeated, her voice barely" | | 10 | "His lips curled into something" | | 11 | "She didn’t have to." | | 12 | "He turned to her, his" | | 13 | "She should’ve been afraid." |
| | ratio | 0.311 | |
| 93.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 45 | | matches | | 0 | "The front door of Eva’s" | | 1 | "Aurora Carter—Rory—hadn’t expected him." | | 2 | "The door swung open before" | | 3 | "she breathed, her fingers hovering" | | 4 | "He didn’t answer." | | 5 | "The air in the flat" | | 6 | "The tabby cat, Ptolemy, hissed" | | 7 | "Lucien didn’t move." | | 8 | "Aurora’s pulse hammered in her" | | 9 | "His gaze flicked to the" | | 10 | "She exhaled sharply, her fingers" | | 11 | "His voice was smooth, too" | | 12 | "She didn’t need to ask" | | 13 | "She’d known since the night" | | 14 | "she said, her voice steadier" | | 15 | "Lucien’s cane twitched." | | 16 | "The word hung between them," | | 17 | "She should’ve been angry." | | 18 | "she repeated, her voice barely" | | 19 | "His lips curled into something" |
| | ratio | 0.733 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 4 | | matches | | 0 | "she breathed, her fingers hovering over the locks" | | 1 | "She exhaled sharply, her fingers tightening around the deadbolt" | | 2 | "she said, her voice steadier than she felt" | | 3 | "she repeated, her voice barely above a whisper" |
| |
| 54.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she repeated (repeat)" |
| | dialogueSentences | 21 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.667 | | effectiveRatio | 0.19 | |