| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 988 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 988 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "rhythmic" | | 1 | "pulse" | | 2 | "whisper" | | 3 | "shimmered" | | 4 | "tracing" | | 5 | "down her spine" | | 6 | "could feel" | | 7 | "profound" | | 8 | "silence" | | 9 | "pristine" | | 10 | "perfect" | | 11 | "crystal" | | 12 | "resonated" | | 13 | "resonance" | | 14 | "familiar" | | 15 | "warmth" | | 16 | "glistening" | | 17 | "stomach" | | 18 | "stark" | | 19 | "sanctuary" |
| |
| 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 | 72 | | matches | | |
| 63.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 24 | | totalWords | 985 | | ratio | 0.024 | | matches | | 0 | "The space between. A fold in the world's fabric." | | 1 | "Or warnings," | | 2 | "The Prince's servants will be drawn to the scent. They are already hunting." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 895 | | uniqueNames | 9 | | maxNameDensity | 0.78 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 2 | | London | 2 | | Aurora | 7 | | Nyx | 3 | | Fae-forged | 1 | | Dymas | 1 | | Prince | 1 | | Eva | 3 | | Isolde | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Nyx" | | 2 | "Dymas" | | 3 | "Prince" | | 4 | "Eva" | | 5 | "Isolde" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | 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 | 985 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 42.83 | | std | 24.74 | | cv | 0.578 | | sampleLengths | | 0 | 69 | | 1 | 86 | | 2 | 16 | | 3 | 50 | | 4 | 64 | | 5 | 30 | | 6 | 82 | | 7 | 16 | | 8 | 15 | | 9 | 79 | | 10 | 29 | | 11 | 63 | | 12 | 4 | | 13 | 52 | | 14 | 26 | | 15 | 22 | | 16 | 40 | | 17 | 36 | | 18 | 85 | | 19 | 17 | | 20 | 25 | | 21 | 34 | | 22 | 45 |
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| 95.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 72 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 123 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 78 | | ratio | 0.013 | | matches | | 0 | "The air here didn't just smell different; it felt different." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 898 | | adjectiveStacks | 1 | | stackExamples | | 0 | "glistening under orange streetlights." |
| | adverbCount | 19 | | adverbRatio | 0.021158129175946547 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0077951002227171495 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 12.63 | | std | 5.56 | | cv | 0.44 | | sampleLengths | | 0 | 4 | | 1 | 25 | | 2 | 15 | | 3 | 15 | | 4 | 10 | | 5 | 18 | | 6 | 24 | | 7 | 24 | | 8 | 20 | | 9 | 11 | | 10 | 5 | | 11 | 17 | | 12 | 13 | | 13 | 11 | | 14 | 3 | | 15 | 6 | | 16 | 17 | | 17 | 8 | | 18 | 13 | | 19 | 10 | | 20 | 16 | | 21 | 13 | | 22 | 17 | | 23 | 10 | | 24 | 5 | | 25 | 9 | | 26 | 13 | | 27 | 19 | | 28 | 26 | | 29 | 8 | | 30 | 8 | | 31 | 15 | | 32 | 14 | | 33 | 9 | | 34 | 18 | | 35 | 25 | | 36 | 13 | | 37 | 12 | | 38 | 17 | | 39 | 11 | | 40 | 9 | | 41 | 18 | | 42 | 16 | | 43 | 9 | | 44 | 4 | | 45 | 9 | | 46 | 12 | | 47 | 15 | | 48 | 16 | | 49 | 22 |
| |
| 57.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3974358974358974 | | totalSentences | 78 | | uniqueOpeners | 31 | |
| 46.95% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 71 | | matches | | | ratio | 0.014 | |
| 62.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 71 | | matches | | 0 | "It grew thick and heavy," | | 1 | "She stood on a carpet" | | 2 | "Their faintly glowing violet eyes" | | 3 | "It felt cool, impossibly smooth," | | 4 | "She pulled her hand back," | | 5 | "It pressed in, full and" | | 6 | "she said, her voice barely" | | 7 | "They moved forward, their steps" | | 8 | "It was made of a" | | 9 | "Its crimson light bled through" | | 10 | "It wasn't a song, not" | | 11 | "It was a melody of" | | 12 | "It was the sound of" | | 13 | "It was beautiful, and it" | | 14 | "Her silver hair, a waterfall" | | 15 | "She wore a simple dress" | | 16 | "She left no prints on" | | 17 | "she said, her voice clear" | | 18 | "She didn't turn around." | | 19 | "Her face was ageless, her" |
| | ratio | 0.394 | |
| 44.51% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 71 | | matches | | 0 | "The air shifted first." | | 1 | "It grew thick and heavy," | | 2 | "Aurora felt a prickle on" | | 3 | "The Heartstone pendant beneath her" | | 4 | "She stood on a carpet" | | 5 | "Wildflowers, impossible in their variety" | | 6 | "Eva gasped beside her, a" | | 7 | "Nyx flowed into solidity beside" | | 8 | "Their faintly glowing violet eyes" | | 9 | "A whisper, like dry leaves" | | 10 | "*The space between." | | 11 | "A fold in the world's" | | 12 | "Aurora reached out, her fingers" | | 13 | "It felt cool, impossibly smooth," | | 14 | "She pulled her hand back," | | 15 | "The air here didn't just" | | 16 | "It pressed in, full and" | | 17 | "she said, her voice barely" | | 18 | "The sound didn't carry the" | | 19 | "They moved forward, their steps" |
| | ratio | 0.831 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 71 | | matches | | 0 | "Before her, ancient oaks twisted" | | 1 | "*Or warnings,* Nyx's voice whispered" |
| | ratio | 0.028 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "Nyx flowed into solidity beside them, their form a dense, humanoid silhouette that drank the ambient light." | | 1 | "Aurora reached out, her fingers brushing against the petals of a flower that shimmered like liquid starlight." | | 2 | "It was made of a black, glassy substance that didn't reflect the grove's strange light but seemed to contain it, a vortex of captured starlight." | | 3 | "It was the sound of the grove itself, a harmony that resonated deep within Aurora's skull." | | 4 | "A ripple of heat distortion, a shimmer in the air that was wrong, a wound in the world's skin." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice barely disturbing the profound silence" | | 1 | "Isolde said, her voice a riddle" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |