| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1326 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "completely" | | 3 | "carefully" |
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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) | |
| 20.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1326 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "down her spine" | | count | 1 |
| | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "scanning" | | 1 | "navigated" | | 2 | "rhythmic" | | 3 | "throb" | | 4 | "warmth" | | 5 | "velvet" | | 6 | "oppressive" | | 7 | "pulse" | | 8 | "navigating" | | 9 | "firmly" | | 10 | "echo" | | 11 | "footsteps" | | 12 | "chill" | | 13 | "down her spine" | | 14 | "searing" | | 15 | "silence" | | 16 | "could feel" | | 17 | "tracing" | | 18 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was heavy with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 96 | | matches | (empty) | |
| 68.45% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 18 | | totalWords | 1319 | | ratio | 0.014 | | matches | | 0 | "Time moves differently here," | | 1 | "Get what you came for and leave." | | 2 | "Shhh-t." | | 3 | "Click. Slither. Pause." | | 4 | "Focus, Rory. Think." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1305 | | uniqueNames | 8 | | maxNameDensity | 0.84 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | London | 2 | | Richmond | 2 | | Park | 2 | | Rory | 11 | | Heartstone | 3 | | Pendant | 3 | | Fae | 1 | | Grove | 1 |
| | persons | | | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 86.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed muffled as if the grove were lined with heavy velvet" | | 1 | "rags that seemed to dissolve into the surrounding mist" |
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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 | 1319 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 34.71 | | std | 24.92 | | cv | 0.718 | | sampleLengths | | 0 | 88 | | 1 | 44 | | 2 | 93 | | 3 | 38 | | 4 | 13 | | 5 | 50 | | 6 | 62 | | 7 | 37 | | 8 | 7 | | 9 | 1 | | 10 | 27 | | 11 | 47 | | 12 | 7 | | 13 | 57 | | 14 | 67 | | 15 | 5 | | 16 | 18 | | 17 | 23 | | 18 | 56 | | 19 | 3 | | 20 | 27 | | 21 | 34 | | 22 | 31 | | 23 | 84 | | 24 | 18 | | 25 | 50 | | 26 | 27 | | 27 | 11 | | 28 | 43 | | 29 | 5 | | 30 | 54 | | 31 | 31 | | 32 | 22 | | 33 | 77 | | 34 | 17 | | 35 | 27 | | 36 | 7 | | 37 | 11 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 96 | | matches | | 0 | "were lined" | | 1 | "was bathed" | | 2 | "been ten" | | 3 | "were stretched" |
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| 14.81% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 216 | | matches | | 0 | "was drawing" | | 1 | "was making" | | 2 | "was adjusting" | | 3 | "was slipping" | | 4 | "was folding" | | 5 | "was towering" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 2 | | flaggedSentences | 9 | | totalSentences | 96 | | ratio | 0.094 | | matches | | 0 | "It was a habit born of old anxieties—a physical anchor when her surroundings felt uncertain." | | 1 | "The air was heavy with the thick, sickly-sweet scent of foxgloves, bluebells, and nightshade—wildflowers blooming in absolute, defiance of the season." | | 2 | "The sound had been faint—a soft, wet dragging noise in the high grass behind her." | | 3 | "A dull, throbbing heat radiated into her chest—a warning signal." | | 4 | "The wrongness wasn't just in the grove; it was folding in on her." | | 5 | "The petals weren't soft; they were dry, cold, and felt suspiciously like thin, stretched parchment." | | 6 | "When she pulled her finger away, the flower didn't spring back—it remained bent, tracking her hand as she raised it." | | 7 | "It was a breath—a long, agonizingly slow exhalation that rushed over the back of her neck." | | 8 | "It had no face—only a pale, smooth expanse of skin stretched tight over bone, with three dark, wet slits where a mouth should have been, fluttering in rhythm with its foul breath." |
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| 99.72% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 124 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.04032258064516129 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.016129032258064516 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 13.74 | | std | 8 | | cv | 0.582 | | sampleLengths | | 0 | 31 | | 1 | 18 | | 2 | 39 | | 3 | 21 | | 4 | 23 | | 5 | 19 | | 6 | 15 | | 7 | 14 | | 8 | 16 | | 9 | 29 | | 10 | 17 | | 11 | 21 | | 12 | 13 | | 13 | 14 | | 14 | 15 | | 15 | 21 | | 16 | 8 | | 17 | 17 | | 18 | 26 | | 19 | 11 | | 20 | 12 | | 21 | 18 | | 22 | 7 | | 23 | 7 | | 24 | 1 | | 25 | 2 | | 26 | 15 | | 27 | 10 | | 28 | 10 | | 29 | 2 | | 30 | 14 | | 31 | 21 | | 32 | 7 | | 33 | 6 | | 34 | 17 | | 35 | 19 | | 36 | 15 | | 37 | 6 | | 38 | 12 | | 39 | 19 | | 40 | 10 | | 41 | 20 | | 42 | 5 | | 43 | 4 | | 44 | 14 | | 45 | 23 | | 46 | 21 | | 47 | 10 | | 48 | 3 | | 49 | 22 |
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| 45.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.34375 | | totalSentences | 96 | | uniqueOpeners | 33 | |
| 38.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 86 | | matches | | 0 | "Slowly, carefully, she took one" |
| | ratio | 0.012 | |
| 52.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 86 | | matches | | 0 | "Her dark, shoulder-length hair whipped" | | 1 | "She had come here because" | | 2 | "It was a habit born" | | 3 | "It had been doing that" | | 4 | "She stopped, her breath catching" | | 5 | "She turned around to look" | | 6 | "Her cool-headedness was usually her" | | 7 | "She took five steps into" | | 8 | "It stopped the exact second" | | 9 | "She turned slowly, sweeping her" | | 10 | "Her shadow stretched long and" | | 11 | "It remained fixed on the" | | 12 | "Her pulse hammered against her" | | 13 | "She pressed her hand firmly" | | 14 | "It was noticeably hotter now," | | 15 | "Her voice didn't echo." | | 16 | "It dropped to the damp" | | 17 | "It wasn't footsteps." | | 18 | "It was a wet, clicking" | | 19 | "She glanced down at her" |
| | ratio | 0.419 | |
| 70.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 86 | | matches | | 0 | "The London cold usually had" | | 1 | "Rory pulled her collar tight" | | 2 | "Her dark, shoulder-length hair whipped" | | 3 | "She had come here because" | | 4 | "Rory paused at the treeline," | | 5 | "It was a habit born" | | 6 | "The deep crimson gemstone, no" | | 7 | "It had been doing that" | | 8 | "Rory stepped between the first" | | 9 | "The biting cold of a" | | 10 | "The dead grass beneath her" | | 11 | "The air was heavy with" | | 12 | "She stopped, her breath catching" | | 13 | "The sound of her own" | | 14 | "She turned around to look" | | 15 | "Her cool-headedness was usually her" | | 16 | "She took five steps into" | | 17 | "The sound had been faint—a" | | 18 | "It stopped the exact second" | | 19 | "She turned slowly, sweeping her" |
| | ratio | 0.779 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 57.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 8 | | matches | | 0 | "It had been doing that for the last ten minutes, a low, subtle hum of energy against her skin that warned her she was drawing close to something wrong." | | 1 | "The sound of her own breathing seemed muffled, as if the grove were lined with heavy velvet." | | 2 | "It was noticeably hotter now, pulsing with a distinct, ruby-colored light that seeped through the threads of her coat." | | 3 | "Whatever was making the noise was adjusting to her movements, learning her rhythm." | | 4 | "The carpet of blooming flora seemed to stretch infinitely under her boots, the flowers leaning subtly toward her path, their stems bending as though caught in a…" | | 5 | "It was a breath—a long, agonizingly slow exhalation that rushed over the back of her neck." | | 6 | "It was towering, far too tall to be human, its frame impossibly narrow and draped in rags that seemed to dissolve into the surrounding mist." | | 7 | "Long, pale fingers, tipped with calcified points, were suspended inches from her hair, hovering, waiting for her to turn around." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |