| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1136 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 42.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1136 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "pulsed" | | 3 | "pulse" | | 4 | "whisper" | | 5 | "glistening" | | 6 | "stomach" | | 7 | "lurch" | | 8 | "footsteps" | | 9 | "could feel" | | 10 | "loomed" |
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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 | 200 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 200 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 206 | | 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 | 4 | | markdownWords | 11 | | totalWords | 1125 | | ratio | 0.01 | | matches | | 0 | "Find the gate before the gate finds you." | | 1 | "\"Aurora.\"" | | 2 | "thing" | | 3 | "flow" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.54% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1104 | | uniqueNames | 7 | | maxNameDensity | 1.45 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Pendant | 1 | | Rory | 16 | | Yu-Fei | 1 | | Fae | 1 | | Richmond | 1 | | Park | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Rory" | | 2 | "Yu-Fei" |
| | places | | | globalScore | 0.775 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 3.556 | | wordCount | 1125 | | matches | | 0 | "Not like humidity, not like fog, but something denser, something" | | 1 | "not like fog, but something denser, something" | | 2 | "Not like fire, not like pain, but like a brand pressed too close, too deep" | | 3 | "not like pain, but like a brand pressed too close, too deep" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 206 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 16.3 | | std | 16.59 | | cv | 1.017 | | sampleLengths | | 0 | 43 | | 1 | 52 | | 2 | 9 | | 3 | 16 | | 4 | 90 | | 5 | 14 | | 6 | 41 | | 7 | 3 | | 8 | 3 | | 9 | 46 | | 10 | 8 | | 11 | 3 | | 12 | 43 | | 13 | 18 | | 14 | 15 | | 15 | 2 | | 16 | 1 | | 17 | 7 | | 18 | 15 | | 19 | 1 | | 20 | 12 | | 21 | 3 | | 22 | 9 | | 23 | 20 | | 24 | 8 | | 25 | 31 | | 26 | 5 | | 27 | 16 | | 28 | 3 | | 29 | 3 | | 30 | 24 | | 31 | 38 | | 32 | 3 | | 33 | 35 | | 34 | 2 | | 35 | 38 | | 36 | 8 | | 37 | 36 | | 38 | 5 | | 39 | 34 | | 40 | 2 | | 41 | 1 | | 42 | 3 | | 43 | 26 | | 44 | 5 | | 45 | 9 | | 46 | 33 | | 47 | 11 | | 48 | 10 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 200 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 195 | | matches | (empty) | |
| 73.51% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 206 | | ratio | 0.024 | | matches | | 0 | "She adjusted the strap of her delivery bag—empty now, the last of Yu-Fei’s orders dropped off hours ago—and stepped past the standing stones." | | 1 | "The pendant had led her here—pulsing, insistent, its warmth seeping into her sternum like a second heartbeat." | | 2 | "Every step should’ve brought her closer to the center—wherever the hell that was—but the trees just..." | | 3 | "Moonlight—too bright, too white—spilled over a ring of mushrooms, their caps glistening like wet teeth." | | 4 | "The cloth—no, the *thing*—unfolded." |
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| 81.41% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1115 | | adjectiveStacks | 2 | | stackExamples | | 0 | "lay heavy against Rory’s" | | 1 | "lay dull against her" |
| | adverbCount | 53 | | adverbRatio | 0.04753363228699552 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0008968609865470852 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 206 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 206 | | mean | 5.46 | | std | 4.55 | | cv | 0.833 | | sampleLengths | | 0 | 20 | | 1 | 23 | | 2 | 9 | | 3 | 20 | | 4 | 23 | | 5 | 2 | | 6 | 7 | | 7 | 4 | | 8 | 12 | | 9 | 5 | | 10 | 17 | | 11 | 16 | | 12 | 6 | | 13 | 15 | | 14 | 5 | | 15 | 2 | | 16 | 4 | | 17 | 12 | | 18 | 8 | | 19 | 5 | | 20 | 2 | | 21 | 7 | | 22 | 13 | | 23 | 14 | | 24 | 4 | | 25 | 2 | | 26 | 8 | | 27 | 2 | | 28 | 1 | | 29 | 3 | | 30 | 2 | | 31 | 1 | | 32 | 12 | | 33 | 11 | | 34 | 8 | | 35 | 12 | | 36 | 3 | | 37 | 5 | | 38 | 3 | | 39 | 3 | | 40 | 8 | | 41 | 16 | | 42 | 1 | | 43 | 5 | | 44 | 10 | | 45 | 6 | | 46 | 8 | | 47 | 4 | | 48 | 9 | | 49 | 1 |
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| 36.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 28 | | diversityRatio | 0.2669902912621359 | | totalSentences | 206 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 139 | | matches | | 0 | "Just the trees, their branches" | | 1 | "Then, from the right: a" | | 2 | "Just the trees, the flowers," | | 3 | "Then, from behind her: a" | | 4 | "Too many limbs." | | 5 | "Just a smooth stretch of" | | 6 | "Just the wet, tearing noise" | | 7 | "Then another hand." | | 8 | "Too many teeth." |
| | ratio | 0.065 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 139 | | matches | | 0 | "She adjusted the strap of" | | 1 | "Her voice didn’t carry." | | 2 | "It died between one syllable" | | 3 | "She’d ignored it for weeks," | | 4 | "She didn’t believe in gates." | | 5 | "She yanked it out from" | | 6 | "She kept walking." | | 7 | "She flexed her fingers, shook" | | 8 | "It cut off mid-note." | | 9 | "She didn’t turn this time." | | 10 | "She walked faster." | | 11 | "She reached out." | | 12 | "It sat up with a" | | 13 | "She stumbled, her heel catching" | | 14 | "She went down hard, her" | | 15 | "It didn’t walk so much" | | 16 | "It took a step." | | 17 | "She skidded to a stop." | | 18 | "She could feel it." | | 19 | "She pressed herself against the" |
| | ratio | 0.201 | |
| 78.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 106 | | totalSentences | 139 | | matches | | 0 | "The Heartstone Pendant lay heavy" | | 1 | "She adjusted the strap of" | | 2 | "The air thickened the moment" | | 3 | "The wildflowers at her feet" | | 4 | "Her voice didn’t carry." | | 5 | "It died between one syllable" | | 6 | "Rory had come for answers." | | 7 | "The pendant had led her" | | 8 | "She’d ignored it for weeks," | | 9 | "Memories that weren’t hers." | | 10 | "A woman’s voice, whispering in" | | 11 | "She didn’t believe in gates." | | 12 | "The trees here grew too" | | 13 | "The silence wasn’t quiet." | | 14 | "A low, subsonic vibration that" | | 15 | "A twig snapped." | | 16 | "The pendant flared against her" | | 17 | "She yanked it out from" | | 18 | "The crimson stone pulsed once," | | 19 | "She kept walking." |
| | ratio | 0.763 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 139 | | matches | (empty) | | ratio | 0 | |
| 4.61% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 6 | | matches | | 0 | "Not like humidity, not like fog, but something denser, something that clung to her skin and made her breath shallow." | | 1 | "The pendant had led her here—pulsing, insistent, its warmth seeping into her sternum like a second heartbeat." | | 2 | "No underbrush, no fallen branches, just a carpet of moss that muffled her steps." | | 3 | "The trees bent, their branches reaching, their roots snaking across the path." | | 4 | "The thing recoiled, its body writhing, its limbs twisting in on themselves." | | 5 | "Rory collapsed onto the damp grass of Richmond Park, her chest heaving, her hands shaking." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 1 | | effectiveRatio | 0.286 | |