| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 169 | | tagDensity | 0.053 | | leniency | 0.107 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1904 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 92.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1904 | | totalAiIsms | 3 | | found | | | highlights | | |
| 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 | 0 | | narrationSentences | 141 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 141 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 301 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1902 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 93 | | wordCount | 1143 | | uniqueNames | 10 | | maxNameDensity | 3.15 | | worstName | "Aurora" | | maxWindowNameDensity | 6 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 16 | | Carter | 1 | | Aurora | 36 | | Cardiff | 1 | | Rory | 2 | | Eva | 31 | | Evan | 1 | | Rain | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Carter" | | 4 | "Aurora" | | 5 | "Rory" | | 6 | "Eva" | | 7 | "Evan" | | 8 | "Rain" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.526 | | wordCount | 1902 | | matches | | 0 | "not at the suit, the scar, the red scarf, or the careful hair, but at the girl under all of it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 301 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 247 | | mean | 7.7 | | std | 9.2 | | cv | 1.194 | | sampleLengths | | 0 | 64 | | 1 | 14 | | 2 | 18 | | 3 | 5 | | 4 | 6 | | 5 | 5 | | 6 | 4 | | 7 | 7 | | 8 | 24 | | 9 | 29 | | 10 | 5 | | 11 | 5 | | 12 | 5 | | 13 | 5 | | 14 | 2 | | 15 | 7 | | 16 | 19 | | 17 | 5 | | 18 | 22 | | 19 | 2 | | 20 | 5 | | 21 | 59 | | 22 | 7 | | 23 | 8 | | 24 | 1 | | 25 | 6 | | 26 | 1 | | 27 | 18 | | 28 | 45 | | 29 | 22 | | 30 | 18 | | 31 | 3 | | 32 | 5 | | 33 | 3 | | 34 | 4 | | 35 | 2 | | 36 | 5 | | 37 | 8 | | 38 | 3 | | 39 | 26 | | 40 | 3 | | 41 | 8 | | 42 | 5 | | 43 | 5 | | 44 | 3 | | 45 | 4 | | 46 | 1 | | 47 | 8 | | 48 | 7 | | 49 | 9 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 209 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 301 | | ratio | 0.01 | | matches | | 0 | "Not merely older—sealed over." | | 1 | "The jacket fitted her shoulders; the trousers fell without a crease out of place." | | 2 | "Aurora looked at her then—not at the suit, the scar, the red scarf, or the careful hair, but at the girl under all of it." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1151 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 23 | | adverbRatio | 0.01998262380538662 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0026064291920069507 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 301 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 301 | | mean | 6.32 | | std | 4.91 | | cv | 0.777 | | sampleLengths | | 0 | 21 | | 1 | 8 | | 2 | 15 | | 3 | 20 | | 4 | 14 | | 5 | 5 | | 6 | 13 | | 7 | 5 | | 8 | 6 | | 9 | 5 | | 10 | 4 | | 11 | 7 | | 12 | 9 | | 13 | 15 | | 14 | 7 | | 15 | 7 | | 16 | 15 | | 17 | 5 | | 18 | 5 | | 19 | 5 | | 20 | 5 | | 21 | 2 | | 22 | 7 | | 23 | 10 | | 24 | 9 | | 25 | 5 | | 26 | 5 | | 27 | 17 | | 28 | 2 | | 29 | 5 | | 30 | 25 | | 31 | 10 | | 32 | 4 | | 33 | 20 | | 34 | 7 | | 35 | 8 | | 36 | 1 | | 37 | 6 | | 38 | 1 | | 39 | 6 | | 40 | 12 | | 41 | 5 | | 42 | 4 | | 43 | 9 | | 44 | 27 | | 45 | 22 | | 46 | 18 | | 47 | 3 | | 48 | 5 | | 49 | 3 |
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| 46.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2159468438538206 | | totalSentences | 301 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 131 | | matches | | 0 | "Then a woman stepped over" | | 1 | "Then the woman’s hand fell" | | 2 | "Somewhere upstairs, pipes knocked in" | | 3 | "Once, she would have reached" | | 4 | "Once, Eva would have caught" | | 5 | "Then she stepped beneath the" |
| | ratio | 0.046 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 131 | | matches | | 0 | "His hazel eyes softened, though" | | 1 | "He reached for the bag," | | 2 | "His silver signet ring flashed" | | 3 | "Her hair had been cut" | | 4 | "His gaze moved from one" | | 5 | "Her face had lost its" | | 6 | "He poured whisky into one" | | 7 | "Her thumb covered the small" | | 8 | "It had nothing to do" | | 9 | "She touched the scar beneath" | | 10 | "She refused to blink." | | 11 | "Her composure cracked at last." | | 12 | "Its paper had yellowed at" | | 13 | "She placed it on the" | | 14 | "Her name appeared on the" | | 15 | "She did not open it." | | 16 | "Her fingers fumbled once at" |
| | ratio | 0.13 | |
| 9.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 118 | | totalSentences | 131 | | matches | | 0 | "Rain silvered the windows of" | | 1 | "Maps crowded the walls between" | | 2 | "A jazz record clicked through" | | 3 | "Aurora Carter pushed through the" | | 4 | "Silas glanced at the clock." | | 5 | "His hazel eyes softened, though" | | 6 | "He reached for the bag," | | 7 | "Aurora shrugged out of her" | | 8 | "A drop of water slid" | | 9 | "Silas took the food and" | | 10 | "His silver signet ring flashed" | | 11 | "The door opened behind Aurora." | | 12 | "The room narrowed around her." | | 13 | "The woman wore a camel-coloured" | | 14 | "Her hair had been cut" | | 15 | "Silver threaded one temple." | | 16 | "A scar ran from the" | | 17 | "Aurora’s fingers tightened around her" | | 18 | "Silas stopped beside the kitchen" | | 19 | "His gaze moved from one" |
| | ratio | 0.901 | |
| 38.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 131 | | matches | | | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 1 | | matches | | 0 | "Then a woman stepped over the threshold, pausing beneath the green glow that leaked through the glass." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva looked, the bottles, the shelves of old glassware" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 169 | | tagDensity | 0.036 | | leniency | 0.071 | | rawRatio | 0 | | effectiveRatio | 0 | |