| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1192 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 37.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1192 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "weight" | | 1 | "tracing" | | 2 | "chill" | | 3 | "silence" | | 4 | "pulsed" | | 5 | "rhythmic" | | 6 | "throbbed" | | 7 | "racing" | | 8 | "whisper" | | 9 | "stark" | | 10 | "echoed" | | 11 | "calculating" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1190 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1138 | | uniqueNames | 8 | | maxNameDensity | 1.14 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | London | 2 | | Heartstone | 4 | | Pendant | 1 | | Fae | 1 | | Grove | 1 | | Aurora | 13 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 0.929 | | windowScore | 1 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed thicker the gaps between them narrower, as if they had shifted while her back was turned" | | 1 | "looked like giant, translucent wasp nests" |
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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 | 1190 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 23.8 | | std | 14.05 | | cv | 0.59 | | sampleLengths | | 0 | 71 | | 1 | 20 | | 2 | 25 | | 3 | 35 | | 4 | 11 | | 5 | 40 | | 6 | 25 | | 7 | 5 | | 8 | 38 | | 9 | 20 | | 10 | 8 | | 11 | 31 | | 12 | 26 | | 13 | 12 | | 14 | 36 | | 15 | 17 | | 16 | 37 | | 17 | 20 | | 18 | 34 | | 19 | 9 | | 20 | 21 | | 21 | 33 | | 22 | 5 | | 23 | 42 | | 24 | 12 | | 25 | 9 | | 26 | 6 | | 27 | 14 | | 28 | 16 | | 29 | 51 | | 30 | 14 | | 31 | 32 | | 32 | 14 | | 33 | 23 | | 34 | 17 | | 35 | 17 | | 36 | 18 | | 37 | 30 | | 38 | 6 | | 39 | 30 | | 40 | 47 | | 41 | 21 | | 42 | 33 | | 43 | 12 | | 44 | 16 | | 45 | 28 | | 46 | 5 | | 47 | 47 | | 48 | 10 | | 49 | 41 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 102 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 177 | | matches | (empty) | |
| 61.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 106 | | ratio | 0.028 | | matches | | 0 | "She checked her wrist, her thumb tracing the crescent-shaped scar there—a nervous habit that did nothing to soothe the sudden chill in the air." | | 1 | "The shadow cast by the rock didn't match its shape; it stretched too far, bending at an angle that defied the dim light of the spores." | | 2 | "It didn't sound like words, but rather the mimicry of a human voice—a disjointed sequence of syllables, repeated with the flat cadence of a parrot." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1145 | | adjectiveStacks | 1 | | stackExamples | | 0 | "solid, glossy black, reflecting" |
| | adverbCount | 36 | | adverbRatio | 0.0314410480349345 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010480349344978166 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 11.23 | | std | 6.39 | | cv | 0.569 | | sampleLengths | | 0 | 19 | | 1 | 28 | | 2 | 24 | | 3 | 15 | | 4 | 5 | | 5 | 4 | | 6 | 16 | | 7 | 5 | | 8 | 12 | | 9 | 23 | | 10 | 11 | | 11 | 12 | | 12 | 9 | | 13 | 15 | | 14 | 4 | | 15 | 4 | | 16 | 21 | | 17 | 5 | | 18 | 11 | | 19 | 10 | | 20 | 17 | | 21 | 11 | | 22 | 9 | | 23 | 8 | | 24 | 3 | | 25 | 9 | | 26 | 19 | | 27 | 10 | | 28 | 16 | | 29 | 2 | | 30 | 10 | | 31 | 18 | | 32 | 15 | | 33 | 3 | | 34 | 6 | | 35 | 11 | | 36 | 2 | | 37 | 9 | | 38 | 26 | | 39 | 16 | | 40 | 4 | | 41 | 8 | | 42 | 12 | | 43 | 14 | | 44 | 9 | | 45 | 15 | | 46 | 6 | | 47 | 6 | | 48 | 3 | | 49 | 12 |
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| 52.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.37735849056603776 | | totalSentences | 106 | | uniqueOpeners | 40 | |
| 67.34% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 99 | | matches | | 0 | "Only the damp smell of" | | 1 | "Slowly, she tilted her head." |
| | ratio | 0.02 | |
| 58.38% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 99 | | matches | | 0 | "She checked her wrist, her" | | 1 | "She took a step forward," | | 2 | "she muttered to the dark" | | 3 | "It felt too alive." | | 4 | "She reached into her coat," | | 5 | "It throbbed against her palm," | | 6 | "She turned back to the" | | 7 | "Her ears popped." | | 8 | "Her gaze locked onto the" | | 9 | "she said, her voice tighter" | | 10 | "She unbuckled the harness of" | | 11 | "She slid the bag off" | | 12 | "It was a wet, sliding" | | 13 | "It came from the canopy" | | 14 | "Her breath hitched." | | 15 | "Her hand crept to her" | | 16 | "It was hot now, almost" | | 17 | "They looked like giant, translucent" | | 18 | "It had too many joints." | | 19 | "She took one step." |
| | ratio | 0.404 | |
| 35.76% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 99 | | matches | | 0 | "Aurora adjusted the straps of" | | 1 | "The GPS on her phone" | | 2 | "She checked her wrist, her" | | 3 | "The city's orange glow vanished." | | 4 | "The silence hit first." | | 5 | "London always hummed with a" | | 6 | "Here, the air hung dead." | | 7 | "She took a step forward," | | 8 | "Wildflowers, vibrant and smelling of" | | 9 | "she muttered to the dark" | | 10 | "The silver chain of the" | | 11 | "A steady, rhythmic heat radiated" | | 12 | "It felt too alive." | | 13 | "Aurora stopped at the threshold." | | 14 | "The Fae Grove stretched before" | | 15 | "Luminescent spores drifted through the" | | 16 | "The delivery address was a" | | 17 | "She reached into her coat," | | 18 | "It throbbed against her palm," | | 19 | "A soft rustle broke the" |
| | ratio | 0.848 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 3 | | matches | | 0 | "She checked her wrist, her thumb tracing the crescent-shaped scar there—a nervous habit that did nothing to soothe the sudden chill in the air." | | 1 | "Towering oaks pressed close, their branches interlacing overhead to block out the London night sky." | | 2 | "It took a step forward, its knee joint snapping with a loud, dry crack that echoed through the clearing." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice tighter now, dropping the casual tone" | | 1 | "Aurora said, her voice remarkably steady despite the tremor in her knees" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she demanded (demand)" | | 2 | "the double whispered (whisper)" |
| | dialogueSentences | 12 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |