| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1062 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | | 2 | | adverb | "reluctantly" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "quickly" | | 2 | "reluctantly" |
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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 | 1062 | | totalAiIsms | 35 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | word | "down her spine" | | count | 1 |
| | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "chill" | | 1 | "loomed" | | 2 | "whisper" | | 3 | "flicked" | | 4 | "warmth" | | 5 | "solace" | | 6 | "echoed" | | 7 | "symphony" | | 8 | "pulsed" | | 9 | "scanned" | | 10 | "wavered" | | 11 | "sense of" | | 12 | "depths" | | 13 | "pulse" | | 14 | "resolve" | | 15 | "flicker" | | 16 | "determined" | | 17 | "racing" | | 18 | "down her spine" | | 19 | "silence" | | 20 | "oppressive" | | 21 | "chilling" | | 22 | "predator" | | 23 | "roaring" | | 24 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 72 | | matches | (empty) | |
| 43.65% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1059 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1031 | | uniqueNames | 10 | | maxNameDensity | 1.45 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Aurora | 1 | | Carter | 1 | | Fae | 1 | | Grove | 1 | | Heartstone | 1 | | Pendant | 1 | | Eva | 2 | | Rory | 15 | | Silence | 1 | | Isolde | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Pendant" | | 3 | "Eva" | | 4 | "Rory" | | 5 | "Silence" | | 6 | "Isolde" |
| | places | | | globalScore | 0.773 | | windowScore | 0.833 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "shadows that seemed to whisper secrets to those who dared to venture past their watch" | | 1 | "felt like hours in the time-warped grov" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.944 | | wordCount | 1059 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 73 | | matches | | |
| 54.45% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 44.13 | | std | 15.03 | | cv | 0.341 | | sampleLengths | | 0 | 93 | | 1 | 45 | | 2 | 56 | | 3 | 41 | | 4 | 51 | | 5 | 41 | | 6 | 23 | | 7 | 35 | | 8 | 46 | | 9 | 46 | | 10 | 59 | | 11 | 44 | | 12 | 38 | | 13 | 55 | | 14 | 28 | | 15 | 54 | | 16 | 17 | | 17 | 35 | | 18 | 45 | | 19 | 38 | | 20 | 27 | | 21 | 52 | | 22 | 58 | | 23 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 72 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 181 | | matches | (empty) | |
| 25.44% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 73 | | ratio | 0.041 | | matches | | 0 | "Her instincts flared – this place was all wrong." | | 1 | "There it was again - a flicker of movement, too swift to be natural." | | 2 | "Silence answered her – thick, oppressive, swallowing her words whole." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1034 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.033849129593810444 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.013539651837524178 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 14.51 | | std | 6.58 | | cv | 0.454 | | sampleLengths | | 0 | 24 | | 1 | 29 | | 2 | 19 | | 3 | 21 | | 4 | 4 | | 5 | 11 | | 6 | 12 | | 7 | 18 | | 8 | 22 | | 9 | 20 | | 10 | 14 | | 11 | 13 | | 12 | 28 | | 13 | 29 | | 14 | 7 | | 15 | 3 | | 16 | 12 | | 17 | 23 | | 18 | 18 | | 19 | 3 | | 20 | 6 | | 21 | 14 | | 22 | 16 | | 23 | 19 | | 24 | 9 | | 25 | 6 | | 26 | 14 | | 27 | 6 | | 28 | 11 | | 29 | 12 | | 30 | 15 | | 31 | 19 | | 32 | 18 | | 33 | 17 | | 34 | 24 | | 35 | 14 | | 36 | 20 | | 37 | 10 | | 38 | 10 | | 39 | 6 | | 40 | 22 | | 41 | 6 | | 42 | 5 | | 43 | 11 | | 44 | 14 | | 45 | 19 | | 46 | 12 | | 47 | 16 | | 48 | 3 | | 49 | 14 |
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| 78.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4931506849315068 | | totalSentences | 73 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 72 | | matches | | 0 | "Just beyond the reach of" | | 1 | "Once or twice she could've" | | 2 | "Instead, she pressed on, focusing" |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 72 | | matches | | 0 | "She flicked her eyes around," | | 1 | "Its faint warmth offered a" | | 2 | "Her breath sawed in and" | | 3 | "She halted abruptly, the soft" | | 4 | "She squinted into the dimly" | | 5 | "She jolted, spinning to her" | | 6 | "Her instincts flared – this" | | 7 | "She reconsidered her plan to" | | 8 | "She trudged onward, her footfalls" | | 9 | "She couldn’t shake the sensation" | | 10 | "She picked up her pace," | | 11 | "She clenched her fists, keeping" | | 12 | "she demanded, forcing strength into" | | 13 | "She resumed her march, teeth" | | 14 | "Her feet struck the ground" | | 15 | "She sprinted past ancient oaks" | | 16 | "It pulled her, guiding her" | | 17 | "She burst through the foliage," | | 18 | "She pressed a hand against" |
| | ratio | 0.264 | |
| 36.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 72 | | matches | | 0 | "The cold wind skimmed over" | | 1 | "The ancient standing stones that" | | 2 | "An eerie stillness cloaked the" | | 3 | "She flicked her eyes around," | | 4 | "Rory thought to herself, clutching" | | 5 | "Its faint warmth offered a" | | 6 | "Eva's words echoed in her" | | 7 | "Rory muttered to herself, stepping" | | 8 | "Eva had been adamant that" | | 9 | "Rory had agreed, despite the" | | 10 | "Time behaved oddly within the" | | 11 | "Her breath sawed in and" | | 12 | "She halted abruptly, the soft" | | 13 | "She squinted into the dimly" | | 14 | "The pendant pulsed in the" | | 15 | "Rory scanned the grove once" | | 16 | "A twig snapped." | | 17 | "She jolted, spinning to her" | | 18 | "Nothing but encroaching darkness and" | | 19 | "Rory's voice wavered as she" |
| | ratio | 0.847 | |
| 69.44% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 72 | | matches | | 0 | "Yet, curiosity and a nagging" |
| | ratio | 0.014 | |
| 75.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 5 | | matches | | 0 | "She flicked her eyes around, taking in the bloom of wildflowers that stood vibrant even under the modest cover of night." | | 1 | "Instead, she pressed on, focusing on the faint warmth and pulse from her pendant, letting it guide her through the encroaching dark." | | 2 | "Every nerve in her body screamed at her, pulse racing in concert with her rising panic." | | 3 | "Rory bolted, adrenaline coursing through her veins, urging her to go faster, escape the unseen predator." | | 4 | "The wind howled through the grove behind her, a feral wail that followed Rory as she made her way out of the park, reluctantly returning to the safety of her fa…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 4 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "Rory's voice wavered (waver)" | | 2 | "Rory muttered (mutter)" | | 3 | "she demanded (demand)" |
| | dialogueSentences | 5 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |