| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 791 | | totalAiIsmAdverbs | 2 | | 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) | |
| 5.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 791 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulse" | | 1 | "perfect" | | 2 | "loomed" | | 3 | "etched" | | 4 | "scanning" | | 5 | "silence" | | 6 | "whisper" | | 7 | "stomach" | | 8 | "warmth" | | 9 | "lurch" | | 10 | "pounding" |
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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 | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 103 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 15 | | markdownWords | 26 | | totalWords | 787 | | ratio | 0.033 | | matches | | 0 | "thing" | | 1 | "glowed" | | 2 | "move" | | 3 | "shifting" | | 4 | "moved" | | 5 | "inside" | | 6 | "“You shouldn’t be here.”" | | 7 | "Anything." | | 8 | "“You’re not supposed to see.”" | | 9 | "it" | | 10 | "flow" | | 11 | "stopped" | | 12 | "moved" | | 13 | "away" | | 14 | "“You’re not supposed to leave.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 766 | | uniqueNames | 6 | | maxNameDensity | 1.31 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Grove | 2 | | Richmond | 1 | | Park | 1 | | Fae | 1 | | Aurora | 10 |
| | persons | | | places | | | globalScore | 0.847 | | windowScore | 1 | |
| 59.09% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 2 | | matches | | 0 | "quite behave, where the line between here and the Fae realm blurred" | | 1 | "looked like eyes" |
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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 | 787 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 17.11 | | std | 15.8 | | cv | 0.924 | | sampleLengths | | 0 | 55 | | 1 | 8 | | 2 | 70 | | 3 | 15 | | 4 | 48 | | 5 | 44 | | 6 | 49 | | 7 | 2 | | 8 | 9 | | 9 | 20 | | 10 | 5 | | 11 | 9 | | 12 | 24 | | 13 | 15 | | 14 | 4 | | 15 | 1 | | 16 | 2 | | 17 | 8 | | 18 | 4 | | 19 | 14 | | 20 | 4 | | 21 | 27 | | 22 | 9 | | 23 | 15 | | 24 | 21 | | 25 | 33 | | 26 | 5 | | 27 | 22 | | 28 | 33 | | 29 | 18 | | 30 | 7 | | 31 | 5 | | 32 | 29 | | 33 | 4 | | 34 | 32 | | 35 | 18 | | 36 | 6 | | 37 | 10 | | 38 | 5 | | 39 | 3 | | 40 | 19 | | 41 | 30 | | 42 | 8 | | 43 | 5 | | 44 | 10 | | 45 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 150 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 107 | | ratio | 0.065 | | matches | | 0 | "The pendant had led her here—she’d felt its pull the moment she stepped into Richmond Park, like an invisible thread tugging at her ribs." | | 1 | "The wildflowers here weren’t just bright—they *glowed*, a sickly green under the pale moonlight." | | 2 | "A knife in her boot, a pocket full of loose change—copper, she’d read, was good for warding off things like this." | | 3 | "Then—" | | 4 | "She didn’t pull it out—she didn’t want to draw attention." | | 5 | "But then—" | | 6 | "Then she heard it again—the clicking, the whispering." |
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| 88.41% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 770 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.053246753246753244 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005194805194805195 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 7.36 | | std | 5.06 | | cv | 0.688 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 12 | | 3 | 11 | | 4 | 8 | | 5 | 5 | | 6 | 8 | | 7 | 24 | | 8 | 7 | | 9 | 4 | | 10 | 22 | | 11 | 15 | | 12 | 14 | | 13 | 5 | | 14 | 17 | | 15 | 12 | | 16 | 9 | | 17 | 3 | | 18 | 21 | | 19 | 7 | | 20 | 4 | | 21 | 8 | | 22 | 6 | | 23 | 14 | | 24 | 21 | | 25 | 2 | | 26 | 3 | | 27 | 4 | | 28 | 2 | | 29 | 2 | | 30 | 6 | | 31 | 12 | | 32 | 5 | | 33 | 9 | | 34 | 6 | | 35 | 6 | | 36 | 2 | | 37 | 3 | | 38 | 7 | | 39 | 9 | | 40 | 4 | | 41 | 2 | | 42 | 1 | | 43 | 3 | | 44 | 1 | | 45 | 2 | | 46 | 4 | | 47 | 4 | | 48 | 4 | | 49 | 14 |
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| 38.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2523364485981308 | | totalSentences | 107 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 91 | | matches | | 0 | "Then she heard it again." | | 1 | "Just a little." | | 2 | "Just enough to make her" | | 3 | "Too much silence." | | 4 | "Then she saw the footprints." | | 5 | "Too many to count." | | 6 | "Too small to be human." | | 7 | "Then she saw *it*." | | 8 | "Then she heard it again—the" |
| | ratio | 0.099 | |
| 61.76% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 91 | | matches | | 0 | "She’d worn it tonight, just" | | 1 | "She’d come here for answers." | | 2 | "It was a *thing*." | | 3 | "They shouldn’t bloom like this." | | 4 | "They shouldn’t *move* like this," | | 5 | "She’d come prepared." | | 6 | "It had to be." | | 7 | "She took another step forward," | | 8 | "Their bark was too smooth," | | 9 | "Her pulse hammered in her" | | 10 | "She swallowed hard, forcing her" | | 11 | "She turned slowly, scanning the" | | 12 | "Her voice came out too" | | 13 | "She cleared her throat." | | 14 | "She pressed a hand to" | | 15 | "she demanded, her voice steadier" | | 16 | "It only laughed." | | 17 | "She didn’t pull it out—she" | | 18 | "She took another step forward," | | 19 | "She crouched, brushing away the" |
| | ratio | 0.396 | |
| 80.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 91 | | matches | | 0 | "The air smelled of damp" | | 1 | "Aurora Carter stepped past the" | | 2 | "The pendant at her throat" | | 3 | "She’d worn it tonight, just" | | 4 | "The Grove wasn’t supposed to" | | 5 | "She’d come here for answers." | | 6 | "The pendant had led her" | | 7 | "It was a *thing*." | | 8 | "A wound in the world," | | 9 | "The wildflowers here weren’t just" | | 10 | "They shouldn’t bloom like this." | | 11 | "They shouldn’t *move* like this," | | 12 | "The air hummed, a low," | | 13 | "Aurora exhaled through her nose," | | 14 | "She’d come prepared." | | 15 | "A knife in her boot," | | 16 | "It had to be." | | 17 | "She took another step forward," | | 18 | "The trees here weren’t just" | | 19 | "Their bark was too smooth," |
| | ratio | 0.758 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 15.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 5 | | matches | | 0 | "Aurora Carter stepped past the gnarled oak standing stones, her boots sinking slightly into the soft moss." | | 1 | "The standing stones loomed, their surfaces etched with symbols she didn’t recognise, spirals and teeth and things that looked like eyes." | | 2 | "The pendant burned against her skin now, a pulse of heat that made her wince." | | 3 | "Its limbs moved in ways that made her stomach lurch." | | 4 | "It didn’t walk so much as *flow*, its form shifting, blending into the shadows." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "she demanded, her voice steadier now, sharper" | | 1 | "she said, her voice low, controlled" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.5 | | effectiveRatio | 0.286 | |