| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "She stepped back [back]" | | 1 | "he said softly [softly]" |
| | dialogueSentences | 44 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.1 | | effectiveRatio | 0.091 | |
| 72.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1616 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "suddenly" | | 1 | "sharply" | | 2 | "lightly" | | 3 | "slightly" | | 4 | "really" | | 5 | "softly" |
| |
| 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) | |
| 50.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1616 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "rhythmic" | | 1 | "familiar" | | 2 | "chaotic" | | 3 | "navigate" | | 4 | "gloom" | | 5 | "silence" | | 6 | "intensity" | | 7 | "echoing" | | 8 | "pulse" | | 9 | "down her spine" | | 10 | "could feel" | | 11 | "weight" | | 12 | "tension" | | 13 | "sentinel" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "hung in the air" | | 1 | "sent a shiver down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 109 | | matches | (empty) | |
| 38.01% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 6 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | 0 | "tried to" | | 1 | "seemed to" | | 2 | "began to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 133 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1615 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1223 | | uniqueNames | 12 | | maxNameDensity | 0.82 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Rory | 10 | | Brick | 1 | | Lane | 1 | | Lucien | 8 | | Moreau | 1 | | Cardiff | 1 | | London | 2 | | Evan | 1 | | French | 1 | | Avaros | 1 | | Aurora | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Evan" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a fortress, not a home" |
| |
| 76.16% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.238 | | wordCount | 1615 | | matches | | 0 | "not as a polite request, but as a demand" | | 1 | "not to touch her, but to rest on the handle of his cane" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 133 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 35.11 | | std | 20.78 | | cv | 0.592 | | sampleLengths | | 0 | 86 | | 1 | 39 | | 2 | 63 | | 3 | 5 | | 4 | 77 | | 5 | 64 | | 6 | 36 | | 7 | 41 | | 8 | 44 | | 9 | 22 | | 10 | 20 | | 11 | 42 | | 12 | 46 | | 13 | 29 | | 14 | 29 | | 15 | 48 | | 16 | 25 | | 17 | 27 | | 18 | 56 | | 19 | 35 | | 20 | 49 | | 21 | 4 | | 22 | 34 | | 23 | 31 | | 24 | 10 | | 25 | 23 | | 26 | 13 | | 27 | 45 | | 28 | 28 | | 29 | 58 | | 30 | 31 | | 31 | 29 | | 32 | 24 | | 33 | 37 | | 34 | 27 | | 35 | 67 | | 36 | 15 | | 37 | 40 | | 38 | 12 | | 39 | 8 | | 40 | 7 | | 41 | 44 | | 42 | 23 | | 43 | 13 | | 44 | 94 | | 45 | 15 |
| |
| 85.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 109 | | matches | | 0 | "was cramped" | | 1 | "was slicked" | | 2 | "was clenched" | | 3 | "been called" | | 4 | "was tangled" | | 5 | "was hidden" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 217 | | matches | | 0 | "was looking" | | 1 | "wasn’t looking" | | 2 | "was deafening" | | 3 | "was hammering" | | 4 | "wasn’t lying" | | 5 | "was beginning" | | 6 | "was standing" |
| |
| 99.89% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 133 | | ratio | 0.015 | | matches | | 0 | "He wasn’t looking at the door; he was looking at the lock." | | 1 | "The scent of him hit her then—expensive cologne, ozone, and something metallic, like old blood or copper." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1232 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 47 | | adverbRatio | 0.03814935064935065 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.017045454545454544 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 133 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 133 | | mean | 12.14 | | std | 7.17 | | cv | 0.59 | | sampleLengths | | 0 | 12 | | 1 | 27 | | 2 | 17 | | 3 | 30 | | 4 | 29 | | 5 | 4 | | 6 | 6 | | 7 | 12 | | 8 | 25 | | 9 | 5 | | 10 | 21 | | 11 | 5 | | 12 | 20 | | 13 | 28 | | 14 | 17 | | 15 | 12 | | 16 | 3 | | 17 | 9 | | 18 | 28 | | 19 | 24 | | 20 | 6 | | 21 | 7 | | 22 | 4 | | 23 | 7 | | 24 | 4 | | 25 | 8 | | 26 | 10 | | 27 | 4 | | 28 | 3 | | 29 | 3 | | 30 | 12 | | 31 | 9 | | 32 | 15 | | 33 | 13 | | 34 | 3 | | 35 | 13 | | 36 | 3 | | 37 | 16 | | 38 | 3 | | 39 | 18 | | 40 | 2 | | 41 | 19 | | 42 | 16 | | 43 | 7 | | 44 | 3 | | 45 | 17 | | 46 | 10 | | 47 | 16 | | 48 | 6 | | 49 | 7 |
| |
| 37.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.2706766917293233 | | totalSentences | 133 | | uniqueOpeners | 36 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 105 | | matches | | 0 | "Then the second." | | 1 | "Then the third." | | 2 | "Only Lucien used it when" |
| | ratio | 0.029 | |
| 6.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 105 | | matches | | 0 | "It meant he smelled something" | | 1 | "She moved to the door," | | 2 | "She paused at the peephole." | | 3 | "He looked exactly as he" | | 4 | "His platinum blond hair was" | | 5 | "He held his ivory-handled cane" | | 6 | "He wasn’t looking at the" | | 7 | "She had spent months convincing" | | 8 | "She had moved from Cardiff" | | 9 | "She didn’t unlock the deadbolts" | | 10 | "She let the silence stretch," | | 11 | "He didn’t knock again." | | 12 | "He simply waited, his posture" | | 13 | "It meant he knew she" | | 14 | "Her fingers found the cold" | | 15 | "She slid it back." | | 16 | "She turned the handle and" | | 17 | "He never did." | | 18 | "He simply occupied space with" | | 19 | "His voice was smooth, a" |
| | ratio | 0.533 | |
| 7.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 105 | | matches | | 0 | "The knock came not as" | | 1 | "Rory froze, her hand hovering" | | 2 | "The smell of cumin and" | | 3 | "Ptolemy, the tabby cat who" | | 4 | "Rory knew that sound." | | 5 | "It meant he smelled something" | | 6 | "She moved to the door," | | 7 | "The flat was cramped, every" | | 8 | "She paused at the peephole." | | 9 | "The hallway of the Brick" | | 10 | "He looked exactly as he" | | 11 | "His platinum blond hair was" | | 12 | "He held his ivory-handled cane" | | 13 | "He wasn’t looking at the" | | 14 | "Rory’s breath hitched." | | 15 | "She had spent months convincing" | | 16 | "She had moved from Cardiff" | | 17 | "She didn’t unlock the deadbolts" | | 18 | "She let the silence stretch," | | 19 | "He didn’t knock again." |
| | ratio | 0.905 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 2 | | matches | | 0 | "The hallway of the Brick Lane building was dim, lit only by a flickering bulb that buzzed like an angry insect." | | 1 | "And the man who broke her heart was standing watch over her life again." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 7 | | matches | | 0 | "She kept, though her heart was hammering against her ribs like a trapped bird" | | 1 | "He tilted, his heterochromatic eyes locking onto hers" | | 2 | "she asked, her voice dropping" | | 3 | "he corrected, his voice tight" | | 4 | "He reached out, his hand hovering near her face" | | 5 | "Rory asked, her voice trembling" | | 6 | "she said, her hand tightening on her wrist scar" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "he corrected (correct)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 44 | | tagDensity | 0.205 | | leniency | 0.409 | | rawRatio | 0.222 | | effectiveRatio | 0.091 | |