| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "she said again [again]" |
| | dialogueSentences | 50 | | tagDensity | 0.42 | | leniency | 0.84 | | rawRatio | 0.095 | | effectiveRatio | 0.08 | |
| 77.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1972 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "perfectly" | | 1 | "suddenly" | | 2 | "very" | | 3 | "really" | | 4 | "slowly" |
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| 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) | |
| 74.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1972 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "charm" | | 1 | "tension" | | 2 | "traced" | | 3 | "flickered" | | 4 | "familiar" | | 5 | "comforting" | | 6 | "pulse" | | 7 | "calculating" | | 8 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 137 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 137 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 164 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | 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 | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1418 | | uniqueNames | 15 | | maxNameDensity | 0.85 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Moreau | 3 | | Aurora | 12 | | Marseille | 1 | | Lucien | 7 | | Eva | 1 | | Sumerian | 1 | | Cool-headed | 2 | | Ptolemy | 5 | | Brick | 3 | | Lane | 3 | | Half-demon | 3 | | Set | 1 | | Silas | 1 | | Cardiff | 1 | | Carter | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Aurora" | | 2 | "Lucien" | | 3 | "Eva" | | 4 | "Sumerian" | | 5 | "Ptolemy" | | 6 | "Silas" | | 7 | "Carter" |
| | places | | 0 | "Marseille" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 7 | | matches | | 0 | "looked like he belonged in a different ce" | | 1 | "not quite human" | | 2 | "smelled like burnt sugar and old iron" | | 3 | "seemed brighter in the low light" | | 4 | "felt like losing" | | 5 | "not quite a smile" | | 6 | "looked like he had finally arrived" |
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| 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 | 164 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 29.83 | | std | 21.19 | | cv | 0.71 | | sampleLengths | | 0 | 14 | | 1 | 53 | | 2 | 50 | | 3 | 18 | | 4 | 32 | | 5 | 67 | | 6 | 7 | | 7 | 18 | | 8 | 22 | | 9 | 5 | | 10 | 59 | | 11 | 48 | | 12 | 43 | | 13 | 9 | | 14 | 24 | | 15 | 53 | | 16 | 42 | | 17 | 14 | | 18 | 2 | | 19 | 24 | | 20 | 76 | | 21 | 21 | | 22 | 9 | | 23 | 61 | | 24 | 24 | | 25 | 28 | | 26 | 53 | | 27 | 33 | | 28 | 38 | | 29 | 45 | | 30 | 6 | | 31 | 40 | | 32 | 11 | | 33 | 13 | | 34 | 47 | | 35 | 67 | | 36 | 17 | | 37 | 70 | | 38 | 9 | | 39 | 28 | | 40 | 23 | | 41 | 63 | | 42 | 6 | | 43 | 40 | | 44 | 35 | | 45 | 31 | | 46 | 2 | | 47 | 20 | | 48 | 4 | | 49 | 55 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 62.83% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 243 | | matches | | 0 | "was standing" | | 1 | "was leaving" | | 2 | "was reaching" | | 3 | "was watching" | | 4 | "was calculating" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 164 | | ratio | 0.012 | | matches | | 0 | "“Rory.” His voice was the same—low, precise, the faint Marseille cadence he never quite lost." | | 1 | "Not enough to crowd her—Lucien never crowded anyone unless he meant to—but enough that she caught the scent of him under the rain: expensive wool, something sharper and not quite human." |
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| 86.80% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1434 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 79 | | adverbRatio | 0.05509065550906555 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.009762900976290097 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 164 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 164 | | mean | 12.01 | | std | 10.47 | | cv | 0.872 | | sampleLengths | | 0 | 9 | | 1 | 5 | | 2 | 31 | | 3 | 9 | | 4 | 13 | | 5 | 7 | | 6 | 14 | | 7 | 29 | | 8 | 15 | | 9 | 3 | | 10 | 8 | | 11 | 15 | | 12 | 9 | | 13 | 25 | | 14 | 42 | | 15 | 7 | | 16 | 18 | | 17 | 6 | | 18 | 12 | | 19 | 4 | | 20 | 5 | | 21 | 6 | | 22 | 15 | | 23 | 38 | | 24 | 4 | | 25 | 7 | | 26 | 16 | | 27 | 9 | | 28 | 12 | | 29 | 11 | | 30 | 32 | | 31 | 9 | | 32 | 13 | | 33 | 6 | | 34 | 5 | | 35 | 14 | | 36 | 22 | | 37 | 17 | | 38 | 9 | | 39 | 27 | | 40 | 6 | | 41 | 14 | | 42 | 2 | | 43 | 3 | | 44 | 1 | | 45 | 20 | | 46 | 3 | | 47 | 31 | | 48 | 11 | | 49 | 10 |
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| 51.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3597560975609756 | | totalSentences | 164 | | uniqueOpeners | 59 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 113 | | matches | | 0 | "Then his gaze returned to" | | 1 | "Instead she stepped back, because" | | 2 | "Then he shrugged out of" | | 3 | "Even soaked he looked like" | | 4 | "Of course he had." | | 5 | "Then she looked at him." | | 6 | "Really looked, the way she" | | 7 | "Just enough to rest her" |
| | ratio | 0.071 | |
| 92.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 113 | | matches | | 0 | "His voice was the same—low," | | 1 | "She kept one hand on" | | 2 | "Her other found the small" | | 3 | "He looked past her into" | | 4 | "She should have shut the" | | 5 | "He crossed the threshold." | | 6 | "She crossed her arms" | | 7 | "He set the cane against" | | 8 | "She almost smiled." | | 9 | "He moved closer." | | 10 | "His father’s realm smelled like" | | 11 | "She had never been able" | | 12 | "Her voice stayed level" | | 13 | "he said quietly" | | 14 | "She filled the kettle, more" | | 15 | "she said to the kettle" | | 16 | "He had followed, of course" | | 17 | "He always did, even when" | | 18 | "He was closer than she’d" | | 19 | "He had traced it once" |
| | ratio | 0.319 | |
| 52.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 113 | | matches | | 0 | "The last deadbolt gave with" | | 1 | "Aurora pulled the door open." | | 2 | "Lucien Moreau stood in the" | | 3 | "The ivory handle of his" | | 4 | "The smell of cumin and" | | 5 | "Ptolemy the tabby appeared at" | | 6 | "His voice was the same—low," | | 7 | "She kept one hand on" | | 8 | "Her other found the small" | | 9 | "He looked past her into" | | 10 | "A muscle moved in his" | | 11 | "Rainwater dripped from the hem" | | 12 | "She should have shut the" | | 13 | "He crossed the threshold." | | 14 | "The cane tapped once against" | | 15 | "Ptolemy wound around his ankles" | | 16 | "Lucien had always had an" | | 17 | "Aurora closed the door and" | | 18 | "She crossed her arms" | | 19 | "The hoodie was too warm" |
| | ratio | 0.814 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 113 | | matches | (empty) | | ratio | 0 | |
| 11.66% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 9 | | matches | | 0 | "Lucien Moreau stood in the narrow hallway as if he had never left it, rain darkening the shoulders of his charcoal suit, platinum hair still perfectly slicked b…" | | 1 | "Then his gaze returned to her, slower this time, taking in the black hair that had grown just past her shoulders, the delivery-company hoodie she hadn’t bothere…" | | 2 | "Ptolemy wound around his ankles as if they were old friends, which, Aurora supposed, they were." | | 3 | "When she turned, he was already in the middle of the room, too tall for the cramped space, looking at a stack of translated Sumerian fragments as if they might …" | | 4 | "Ptolemy jumped onto the arm of the sagging sofa and began washing a paw with great concentration, as if the tension in the room were someone else’s problem." | | 5 | "Ptolemy had given up on washing and was watching them both with the air of a creature who had seen this particular human stupidity before." | | 6 | "The curry smell from downstairs mixed with the tea steam and the particular ozone-and-iron scent that was just him." | | 7 | "The three deadbolts sat locked behind her, useless against the thing that was already in the room." | | 8 | "In the cramped flat above the curry house, with books on every surface and three deadbolts on the door, Aurora Carter stood in the kitchen with the man who had …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 1 | | matches | | 0 | "she said again, quieter" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.26 | | leniency | 0.52 | | rawRatio | 0 | | effectiveRatio | 0 | |