| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "Malphora asked suddenly [suddenly]" | | 1 | "he said gruffly [gruffly]" |
| | dialogueSentences | 29 | | tagDensity | 0.31 | | leniency | 0.621 | | rawRatio | 0.222 | | effectiveRatio | 0.138 | |
| 83.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 929 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "carefully" | | 1 | "really" | | 2 | "suddenly" |
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| 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) | |
| 8.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 929 | | totalAiIsms | 17 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "down her spine" | | count | 1 |
| | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "beacon" | | 1 | "scanned" | | 2 | "familiar" | | 3 | "reminder" | | 4 | "electric" | | 5 | "racing" | | 6 | "down her spine" | | 7 | "eyebrow" | | 8 | "race" | | 9 | "silence" | | 10 | "tension" | | 11 | "weight" | | 12 | "unspoken" |
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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 | 0 | | narrationSentences | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 917 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 702 | | uniqueNames | 7 | | maxNameDensity | 1.42 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Malphora" | | discoveredNames | | Carter | 1 | | Raven | 1 | | Nest | 1 | | London | 1 | | Aurora | 10 | | Silas | 5 | | Malphora | 8 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Aurora" | | 3 | "Silas" | | 4 | "Malphora" |
| | places | | | globalScore | 0.788 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | 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 | 917 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 26.97 | | std | 16.62 | | cv | 0.616 | | sampleLengths | | 0 | 74 | | 1 | 78 | | 2 | 12 | | 3 | 10 | | 4 | 52 | | 5 | 55 | | 6 | 33 | | 7 | 26 | | 8 | 7 | | 9 | 22 | | 10 | 12 | | 11 | 38 | | 12 | 22 | | 13 | 31 | | 14 | 22 | | 15 | 39 | | 16 | 21 | | 17 | 21 | | 18 | 22 | | 19 | 24 | | 20 | 17 | | 21 | 15 | | 22 | 27 | | 23 | 30 | | 24 | 6 | | 25 | 8 | | 26 | 26 | | 27 | 15 | | 28 | 25 | | 29 | 20 | | 30 | 36 | | 31 | 20 | | 32 | 17 | | 33 | 34 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 51 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 120 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 71 | | ratio | 0.014 | | matches | | 0 | "The mark, a remnant of a childhood accident, was a constant reminder of her past—a past she couldn't shake, no matter how hard she tried." |
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| 90.80% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 710 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 31 | | adverbRatio | 0.04366197183098591 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.018309859154929577 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 12.92 | | std | 7.86 | | cv | 0.608 | | sampleLengths | | 0 | 27 | | 1 | 16 | | 2 | 31 | | 3 | 35 | | 4 | 23 | | 5 | 20 | | 6 | 10 | | 7 | 2 | | 8 | 8 | | 9 | 2 | | 10 | 15 | | 11 | 37 | | 12 | 12 | | 13 | 18 | | 14 | 25 | | 15 | 21 | | 16 | 12 | | 17 | 6 | | 18 | 10 | | 19 | 10 | | 20 | 7 | | 21 | 4 | | 22 | 18 | | 23 | 12 | | 24 | 6 | | 25 | 19 | | 26 | 13 | | 27 | 16 | | 28 | 6 | | 29 | 10 | | 30 | 15 | | 31 | 6 | | 32 | 22 | | 33 | 4 | | 34 | 12 | | 35 | 23 | | 36 | 15 | | 37 | 6 | | 38 | 8 | | 39 | 13 | | 40 | 4 | | 41 | 18 | | 42 | 19 | | 43 | 5 | | 44 | 8 | | 45 | 9 | | 46 | 11 | | 47 | 4 | | 48 | 27 | | 49 | 7 |
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| 81.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5070422535211268 | | totalSentences | 71 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 50 | | matches | | 0 | "She blinked a few times," | | 1 | "Her eyes roamed over the" | | 2 | "She made her way towards" | | 3 | "She slid onto the seat," | | 4 | "His neatly trimmed beard, matching" | | 5 | "She nodded, a small smile" | | 6 | "He set to work, his" | | 7 | "Her drink appeared before her," | | 8 | "She reached for it, her" | | 9 | "She closed her eyes, letting" | | 10 | "Her eyes snapped open." | | 11 | "She whirled around on her" | | 12 | "she breathed, the name feeling" | | 13 | "He looked different than she" | | 14 | "His once neatly styled blond" | | 15 | "he chuckled, sliding onto the" | | 16 | "she replied, trying to keep" | | 17 | "She watched as Silas approached," | | 18 | "She did know that." | | 19 | "It was part of why" |
| | ratio | 0.56 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 50 | | matches | | 0 | "Aurora Carter pushed through the" | | 1 | "She blinked a few times," | | 2 | "Her eyes roamed over the" | | 3 | "She made her way towards" | | 4 | "She slid onto the seat," | | 5 | "His neatly trimmed beard, matching" | | 6 | "Silas said, his deep voice" | | 7 | "She nodded, a small smile" | | 8 | "He set to work, his" | | 9 | "Her drink appeared before her," | | 10 | "She reached for it, her" | | 11 | "The mark, a remnant of" | | 12 | "Aurora took a sip of" | | 13 | "She closed her eyes, letting" | | 14 | "That was when she heard" | | 15 | "A voice, deep and rich," | | 16 | "Her eyes snapped open." | | 17 | "She whirled around on her" | | 18 | "she breathed, the name feeling" | | 19 | "He looked different than she" |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "She made her way towards an empty stool at the far end of the bar, carefully avoiding the grasping hands of a tipsy patron who was clearly a little too eager fo…" | | 1 | "As she waited, Aurora found her gaze drawn to the myriad of old maps and black-and-white photographs that adorned the walls, chronicling the many decades Silas …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 4 | | matches | | 0 | "Silas said, his deep voice warm and familiar" | | 1 | "she breathed, the name feeling foreign and familiar all at once" | | 2 | "she replied, trying to keep her voice steady" | | 3 | "Malphora asked suddenly, his voice low" |
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| 46.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "he chuckled (chuckle)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 29 | | tagDensity | 0.31 | | leniency | 0.621 | | rawRatio | 0.333 | | effectiveRatio | 0.207 | |