| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 10 | | tagDensity | 0.9 | | leniency | 1 | | rawRatio | 0.111 | | effectiveRatio | 0.111 | |
| 81.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1055 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "angrily" | | 3 | "tightly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1055 | | totalAiIsms | 43 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "down her spine" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | | | 28 | | | 29 | |
| | highlights | | 0 | "loomed" | | 1 | "imposing" | | 2 | "weight" | | 3 | "warmth" | | 4 | "reminder" | | 5 | "chill" | | 6 | "sentinels" | | 7 | "shimmered" | | 8 | "echoing" | | 9 | "pulsed" | | 10 | "down her spine" | | 11 | "whisper" | | 12 | "silence" | | 13 | "flicker" | | 14 | "quickened" | | 15 | "enigmatic" | | 16 | "scanning" | | 17 | "flickered" | | 18 | "firmly" | | 19 | "intensity" | | 20 | "charged" | | 21 | "racing" | | 22 | "throbbed" | | 23 | "sentinel" | | 24 | "trembled" | | 25 | "cacophony" | | 26 | "pounding" | | 27 | "sanctuary" | | 28 | "echoed" | | 29 | "amidst" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "shiver down spine" | | count | 1 |
| | 1 | | label | "world had stopped" | | count | 1 |
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| | highlights | | 0 | "A shiver ran down her spine" | | 1 | "as if the earth shifted" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 75 | | matches | | 0 | "r with unease" | | 1 | "d with urgency" |
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| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 76 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1047 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1014 | | uniqueNames | 10 | | maxNameDensity | 0.79 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Fae | 2 | | Grove | 2 | | Richmond | 1 | | Park | 1 | | Heartstone | 4 | | Pendant | 1 | | Refusing | 1 | | Aurora | 8 | | Silence | 1 | | Suddenly | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Aurora" | | 3 | "Silence" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 38.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 3 | | matches | | 0 | "appeared muted their colors deepened by the darkness" | | 1 | "as if hiding from something unseen" | | 2 | "seemed twisted their petals curling inwards as if hiding from something unseen" | | 3 | "felt like sanctuary and prison all at o" |
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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 | 1047 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 36.1 | | std | 18.14 | | cv | 0.503 | | sampleLengths | | 0 | 83 | | 1 | 46 | | 2 | 63 | | 3 | 45 | | 4 | 48 | | 5 | 47 | | 6 | 18 | | 7 | 30 | | 8 | 66 | | 9 | 42 | | 10 | 39 | | 11 | 32 | | 12 | 12 | | 13 | 40 | | 14 | 36 | | 15 | 15 | | 16 | 34 | | 17 | 39 | | 18 | 8 | | 19 | 47 | | 20 | 52 | | 21 | 41 | | 22 | 11 | | 23 | 43 | | 24 | 9 | | 25 | 43 | | 26 | 13 | | 27 | 34 | | 28 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 188 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 3 | | flaggedSentences | 10 | | totalSentences | 76 | | ratio | 0.132 | | matches | | 0 | "No chirping crickets or rustling leaves greeted her; only an ominous stillness enveloped the grove." | | 1 | "A shiver ran down her spine, accompanied by another rustling sound—this one closer, sharper." | | 2 | "Another sound—a whisper, barely audible, echoing through the night." | | 3 | "The shadows danced, and eerie shapes appeared just out of focus—half-formed figures hiding among the trees, watching, waiting." | | 4 | "Suddenly, a figure darted through the trees—a glimpse of silver, with glimmering eyes catching the moonlight." | | 5 | "She could not ignore its call; she had to follow." | | 6 | "The shadows were no longer distant; they closed in, whispering now in a cacophony of hisses and breaths." | | 7 | "But the shadows chased her, seeping through the edges of her vision, whispering her name—Aurora." | | 8 | "Aurora dared a glance back as another rustling echoed—a cacophony of whispers swelling around her, as if the entire grove had awakened." | | 9 | "A light—brief and ethereal." |
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| 86.19% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1022 | | adjectiveStacks | 1 | | stackExamples | | 0 | "above, illuminating scattered stones" |
| | adverbCount | 50 | | adverbRatio | 0.04892367906066536 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.016634050880626222 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 76 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 76 | | mean | 13.78 | | std | 5.65 | | cv | 0.41 | | sampleLengths | | 0 | 19 | | 1 | 20 | | 2 | 18 | | 3 | 26 | | 4 | 24 | | 5 | 22 | | 6 | 12 | | 7 | 15 | | 8 | 15 | | 9 | 21 | | 10 | 13 | | 11 | 13 | | 12 | 19 | | 13 | 14 | | 14 | 16 | | 15 | 18 | | 16 | 15 | | 17 | 18 | | 18 | 14 | | 19 | 10 | | 20 | 8 | | 21 | 16 | | 22 | 3 | | 23 | 11 | | 24 | 11 | | 25 | 20 | | 26 | 14 | | 27 | 21 | | 28 | 9 | | 29 | 9 | | 30 | 24 | | 31 | 9 | | 32 | 12 | | 33 | 18 | | 34 | 13 | | 35 | 19 | | 36 | 8 | | 37 | 4 | | 38 | 16 | | 39 | 7 | | 40 | 4 | | 41 | 13 | | 42 | 13 | | 43 | 10 | | 44 | 13 | | 45 | 15 | | 46 | 2 | | 47 | 10 | | 48 | 8 | | 49 | 14 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.40789473684210525 | | totalSentences | 76 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 73 | | matches | | 0 | "Instinctively, she turned, scanning the" | | 1 | "Suddenly, a figure darted through" | | 2 | "Just the ancient oaks standing" |
| | ratio | 0.041 | |
| 66.58% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 73 | | matches | | 0 | "She had wandered into Richmond" | | 1 | "she muttered to herself, pushing" | | 2 | "She stepped inside, the grass" | | 3 | "It came from somewhere among" | | 4 | "She squinted into the darkness," | | 5 | "she whispered, the words echoing" | | 6 | "she called, her voice breaking" | | 7 | "Her heartbeat quickened." | | 8 | "she pressed, but the grove" | | 9 | "She drew in a breath," | | 10 | "she spoke more firmly, annoyance" | | 11 | "It lured her further down," | | 12 | "she murmured, her heart racing" | | 13 | "She froze, her mind racing" | | 14 | "It couldn’t be real." | | 15 | "She shook her head as" | | 16 | "She could not ignore its" | | 17 | "she demanded, the edge of" | | 18 | "She spun, scanning the darkness," | | 19 | "she shouted, but her voice" |
| | ratio | 0.384 | |
| 69.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 73 | | matches | | 0 | "Aurora stood at the entrance" | | 1 | "The shadows stretched unnaturally under" | | 2 | "She had wandered into Richmond" | | 3 | "The weight of the Heartstone" | | 4 | "she muttered to herself, pushing" | | 5 | "The trees embraced her like" | | 6 | "She stepped inside, the grass" | | 7 | "The air shimmered with a" | | 8 | "Aurora hesitated, glancing back toward" | | 9 | "A rustling sound caught her" | | 10 | "It came from somewhere among" | | 11 | "She squinted into the darkness," | | 12 | "she whispered, the words echoing" | | 13 | "The pendant pulsed slightly against" | | 14 | "The blooms, usually so lively," | | 15 | "A shiver ran down her" | | 16 | "she called, her voice breaking" | | 17 | "Silence enveloped her once more," | | 18 | "Her heartbeat quickened." | | 19 | "she pressed, but the grove" |
| | ratio | 0.781 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 74.18% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 5 | | matches | | 0 | "Refusing to be rattled, she shifted her weight, her gaze darting for any sign of movement." | | 1 | "The blooms, usually so lively, now seemed twisted, their petals curling inwards as if hiding from something unseen." | | 2 | "Aurora tripped, falling to her knees, catching glimpses of flickering shadows swirling around her, shapes moving just beyond the corner of her eye." | | 3 | "But the shadows chased her, seeping through the edges of her vision, whispering her name—Aurora." | | 4 | "Aurora dared a glance back as another rustling echoed—a cacophony of whispers swelling around her, as if the entire grove had awakened." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 5 | | matches | | 0 | "she whispered, the words echoing back to her on the stillness" | | 1 | "she called, her voice breaking just above a whisper" | | 2 | "she pressed, but the grove offered no response" | | 3 | "she murmured, her heart racing" | | 4 | "she shouted, but her voice cracked" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 8 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "she pressed (press)" | | 3 | "she spoke more (speak)" | | 4 | "she murmured (murmur)" | | 5 | "she demanded (demand)" | | 6 | "she shouted (shout)" | | 7 | "she cried (cry)" |
| | dialogueSentences | 10 | | tagDensity | 0.9 | | leniency | 1 | | rawRatio | 0.889 | | effectiveRatio | 0.889 | |