| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched again [again]" |
| | dialogueSentences | 77 | | tagDensity | 0.156 | | leniency | 0.312 | | rawRatio | 0.083 | | effectiveRatio | 0.026 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1969 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 92.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1969 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "velvet" | | 1 | "charm" | | 2 | "flicked" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 157 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 157 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 222 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 58 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1969 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1337 | | uniqueNames | 8 | | maxNameDensity | 1.8 | | worstName | "Mercer" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Mercer" | | discoveredNames | | Quinn | 19 | | Victorian | 1 | | Sergeant | 1 | | Owen | 1 | | Mercer | 24 | | Lewis | 8 | | Dry | 1 | | One | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Sergeant" | | 2 | "Owen" | | 3 | "Mercer" | | 4 | "Lewis" |
| | places | | | globalScore | 0.602 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 97 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1969 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 222 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 102 | | mean | 19.3 | | std | 20.09 | | cv | 1.041 | | sampleLengths | | 0 | 20 | | 1 | 7 | | 2 | 28 | | 3 | 36 | | 4 | 12 | | 5 | 1 | | 6 | 3 | | 7 | 108 | | 8 | 36 | | 9 | 4 | | 10 | 35 | | 11 | 14 | | 12 | 5 | | 13 | 3 | | 14 | 68 | | 15 | 31 | | 16 | 11 | | 17 | 58 | | 18 | 31 | | 19 | 2 | | 20 | 19 | | 21 | 1 | | 22 | 59 | | 23 | 8 | | 24 | 42 | | 25 | 7 | | 26 | 3 | | 27 | 5 | | 28 | 10 | | 29 | 57 | | 30 | 11 | | 31 | 19 | | 32 | 12 | | 33 | 13 | | 34 | 4 | | 35 | 66 | | 36 | 27 | | 37 | 12 | | 38 | 24 | | 39 | 6 | | 40 | 11 | | 41 | 26 | | 42 | 9 | | 43 | 22 | | 44 | 60 | | 45 | 8 | | 46 | 40 | | 47 | 5 | | 48 | 4 | | 49 | 19 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 157 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 212 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 222 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1342 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.028315946348733235 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0007451564828614009 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 222 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 222 | | mean | 8.87 | | std | 6.98 | | cv | 0.787 | | sampleLengths | | 0 | 20 | | 1 | 7 | | 2 | 7 | | 3 | 10 | | 4 | 11 | | 5 | 10 | | 6 | 5 | | 7 | 21 | | 8 | 6 | | 9 | 6 | | 10 | 1 | | 11 | 3 | | 12 | 13 | | 13 | 13 | | 14 | 11 | | 15 | 28 | | 16 | 13 | | 17 | 6 | | 18 | 4 | | 19 | 20 | | 20 | 20 | | 21 | 16 | | 22 | 4 | | 23 | 5 | | 24 | 14 | | 25 | 16 | | 26 | 7 | | 27 | 7 | | 28 | 5 | | 29 | 3 | | 30 | 21 | | 31 | 1 | | 32 | 1 | | 33 | 5 | | 34 | 2 | | 35 | 2 | | 36 | 11 | | 37 | 17 | | 38 | 8 | | 39 | 6 | | 40 | 8 | | 41 | 5 | | 42 | 5 | | 43 | 7 | | 44 | 11 | | 45 | 58 | | 46 | 8 | | 47 | 13 | | 48 | 10 | | 49 | 2 |
| |
| 59.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.38738738738738737 | | totalSentences | 222 | | uniqueOpeners | 86 | |
| 47.96% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 139 | | matches | | 0 | "Also dry, apart from a" | | 1 | "Just moving when the whole" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 139 | | matches | | 0 | "He worked the chain loose" | | 1 | "She started down." | | 2 | "It looked flimsy against the" | | 3 | "He wore the expression of" | | 4 | "He stepped aside." | | 5 | "It stood beneath a broken" | | 6 | "He leaned in." | | 7 | "She moved her finger to" | | 8 | "She glanced back." | | 9 | "She tapped the bare floor" | | 10 | "Her attention had fixed on" | | 11 | "They marched over the tiles" | | 12 | "She followed them from the" | | 13 | "She crouched again and held" | | 14 | "She looked at the silent" | | 15 | "She turned back to the" | | 16 | "She tapped the token bagged" | | 17 | "Her gaze snagged on the" | | 18 | "He gave her a flat" | | 19 | "She put two fingers near" |
| | ratio | 0.237 | |
| 46.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 139 | | matches | | 0 | "The constable at the service" | | 1 | "Quinn closed her fingers over" | | 2 | "The little thing felt warm," | | 3 | "He worked the chain loose" | | 4 | "Rust shrieked through the tunnel." | | 5 | "She started down." | | 6 | "The station had died decades" | | 7 | "Tarpaulins stretched between pillars tiled" | | 8 | "Stalls stood where commuters once" | | 9 | "Someone had draped police tape" | | 10 | "It looked flimsy against the" | | 11 | "The market ignored it." | | 12 | "Men and women in dark" | | 13 | "Detective Sergeant Owen Mercer waited" | | 14 | "He wore the expression of" | | 15 | "Quinn glanced at her watch." | | 16 | "The leather strap had darkened" | | 17 | "Mercer gave the market a" | | 18 | "He stepped aside." | | 19 | "The victim lay on the" |
| | ratio | 0.827 | |
| 35.97% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 139 | | matches | | 0 | "Even before Quinn crouched, it" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 1 | | matches | | 0 | "The constable at the service gate looked at the bone token in Quinn’s palm as if it might bite him." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 77 | | tagDensity | 0.078 | | leniency | 0.156 | | rawRatio | 0.167 | | effectiveRatio | 0.026 | |