| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1274 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "utterly" | | 1 | "truly" | | 2 | "slowly" |
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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) | |
| 1.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1274 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "chill" | | 1 | "sentinels" | | 2 | "weight" | | 3 | "pulsed" | | 4 | "silence" | | 5 | "warmth" | | 6 | "pulse" | | 7 | "velvet" | | 8 | "oppressive" | | 9 | "perfect" | | 10 | "throb" | | 11 | "echoed" | | 12 | "dancing" | | 13 | "trembled" | | 14 | "shattered" | | 15 | "silk" | | 16 | "fractured" | | 17 | "searing" |
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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 | 152 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 152 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 9 | | totalWords | 1264 | | ratio | 0.007 | | matches | | 0 | "Cool-headed, Carter. Think." | | 1 | "“O… kay.”" | | 2 | "Think. Out-of-the-box. Now." | | 3 | "clink" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1257 | | uniqueNames | 9 | | maxNameDensity | 0.56 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 3 | | Park | 3 | | Rory | 7 | | Fae | 2 | | Grove | 7 | | Heartstone | 4 | | October | 1 | | Carter | 1 | | Hel | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Carter" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like watchful eyes" |
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| 41.77% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.582 | | wordCount | 1264 | | matches | | 0 | "not darkness, but a faint, opposite light" | | 1 | "Not the welcoming warmth of a nearby portal, but the residual heat of a fired gun" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 154 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 32.41 | | std | 20.84 | | cv | 0.643 | | sampleLengths | | 0 | 71 | | 1 | 65 | | 2 | 5 | | 3 | 57 | | 4 | 57 | | 5 | 7 | | 6 | 40 | | 7 | 22 | | 8 | 42 | | 9 | 6 | | 10 | 31 | | 11 | 43 | | 12 | 31 | | 13 | 7 | | 14 | 50 | | 15 | 7 | | 16 | 62 | | 17 | 20 | | 18 | 5 | | 19 | 21 | | 20 | 64 | | 21 | 28 | | 22 | 3 | | 23 | 31 | | 24 | 29 | | 25 | 66 | | 26 | 13 | | 27 | 19 | | 28 | 5 | | 29 | 11 | | 30 | 54 | | 31 | 37 | | 32 | 10 | | 33 | 54 | | 34 | 55 | | 35 | 41 | | 36 | 45 | | 37 | 18 | | 38 | 32 |
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| 93.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 152 | | matches | | 0 | "was trampled" | | 1 | "being pulled" | | 2 | "being pushed" | | 3 | "was tied" | | 4 | "was overwhelmed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 199 | | matches | | 0 | "was jamming" | | 1 | "was searing" |
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| 31.54% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 154 | | ratio | 0.039 | | matches | | 0 | "Wildflowers—foxgloves and wolfsbane, things that shouldn’t bloom in October—glowed with a soft, internal light." | | 1 | "The wrongness wasn’t just a feeling now; it was a physical pressure, a cork being pushed into the neck of the world." | | 2 | "Another wet breath echoed from behind her—from the original spot near the entrance." | | 3 | "From the cracks seeped not darkness, but a faint, opposite light—the gold-and-silver haze of the true Fae realm." | | 4 | "She snatched the pendant from the ground—it was searing hot now, almost too painful to hold—and sprinted for the standing stones." | | 5 | "The city sounds rushed back—distant traffic, a siren, the wind in normal trees." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1270 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 37 | | adverbRatio | 0.029133858267716535 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005511811023622047 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 8.21 | | std | 5.28 | | cv | 0.644 | | sampleLengths | | 0 | 16 | | 1 | 11 | | 2 | 20 | | 3 | 11 | | 4 | 9 | | 5 | 4 | | 6 | 7 | | 7 | 7 | | 8 | 7 | | 9 | 7 | | 10 | 9 | | 11 | 12 | | 12 | 13 | | 13 | 3 | | 14 | 5 | | 15 | 4 | | 16 | 10 | | 17 | 16 | | 18 | 6 | | 19 | 14 | | 20 | 3 | | 21 | 4 | | 22 | 14 | | 23 | 6 | | 24 | 28 | | 25 | 4 | | 26 | 5 | | 27 | 7 | | 28 | 8 | | 29 | 9 | | 30 | 3 | | 31 | 10 | | 32 | 6 | | 33 | 1 | | 34 | 1 | | 35 | 2 | | 36 | 13 | | 37 | 6 | | 38 | 2 | | 39 | 1 | | 40 | 13 | | 41 | 10 | | 42 | 8 | | 43 | 6 | | 44 | 5 | | 45 | 6 | | 46 | 3 | | 47 | 14 | | 48 | 14 | | 49 | 3 |
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| 35.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 27 | | diversityRatio | 0.3181818181818182 | | totalSentences | 154 | | uniqueOpeners | 49 | |
| 49.38% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 135 | | matches | | 0 | "Just shadows between the broad" | | 1 | "Then the tall shadow froze." |
| | ratio | 0.015 | |
| 92.59% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 135 | | matches | | 0 | "She stood before the boundary" | | 1 | "It hadn’t pulsed once since" | | 2 | "She’d come because the silence" | | 3 | "It was just a piece" | | 4 | "She needed to know if" | | 5 | "It was beautiful." | | 6 | "It was utterly still." | | 7 | "She took a few cautious" | | 8 | "She held her breath, counting" | | 9 | "she muttered to herself, the" | | 10 | "She forced her shoulders to" | | 11 | "She walked toward the center" | | 12 | "She knelt, placing a palm" | | 13 | "It wasn’t hers." | | 14 | "It was a low, wet" | | 15 | "It came from behind her," | | 16 | "She stayed on her knees," | | 17 | "She stood up, her joints" | | 18 | "Her gaze locked on the" | | 19 | "They didn’t match the shape" |
| | ratio | 0.319 | |
| 45.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 135 | | matches | | 0 | "The air in Richmond Park" | | 1 | "The city’s orange glow was" | | 2 | "She stood before the boundary" | | 3 | "The Heartstone pendant against her" | | 4 | "It hadn’t pulsed once since" | | 5 | "That was the problem." | | 6 | "She’d come because the silence" | | 7 | "It was just a piece" | | 8 | "She needed to know if" | | 9 | "Rory stepped between the stones." | | 10 | "The shift was instantaneous." | | 11 | "The city sounds vanished, replaced" | | 12 | "The temperature rose a few" | | 13 | "Moonlight, brighter here, dappled the" | | 14 | "Wildflowers—foxgloves and wolfsbane, things that" | | 15 | "It was beautiful." | | 16 | "It was utterly still." | | 17 | "She took a few cautious" | | 18 | "The Grove was never truly" | | 19 | "Tonight, there was nothing." |
| | ratio | 0.83 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 135 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 3 | | matches | | 0 | "The air in Richmond Park after midnight held a damp chill that seeped through Rory’s jacket." | | 1 | "Wildflowers—foxgloves and wolfsbane, things that shouldn’t bloom in October—glowed with a soft, internal light." | | 2 | "She stood up, her joints protesting with a stiffness that felt imposed." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Rory whispered (whisper)" |
| | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |