| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 85.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1426 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "quickly" | | 2 | "softly" | | 3 | "perfectly" |
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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) | |
| 19.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1426 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "pulsed" | | 1 | "throb" | | 2 | "warmth" | | 3 | "weight" | | 4 | "scanning" | | 5 | "footsteps" | | 6 | "echoing" | | 7 | "pulse" | | 8 | "calculate" | | 9 | "fractured" | | 10 | "variable" | | 11 | "silence" | | 12 | "rhythmic" | | 13 | "traced" | | 14 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 208 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 208 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 208 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1425 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1398 | | uniqueNames | 11 | | maxNameDensity | 0.29 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Step" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 1 | | Heartstone | 1 | | Hel | 3 | | English | 1 | | Fae | 1 | | Grove | 1 | | London | 2 | | Rory | 4 | | Step | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hel" | | 3 | "English" | | 4 | "Fae" | | 5 | "London" | | 6 | "Step" |
| | globalScore | 1 | | windowScore | 1 | |
| 92.53% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like an anchor" | | 1 | "tasted like ash" |
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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 | 1425 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 208 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 39.58 | | std | 31.21 | | cv | 0.788 | | sampleLengths | | 0 | 72 | | 1 | 95 | | 2 | 125 | | 3 | 86 | | 4 | 3 | | 5 | 52 | | 6 | 20 | | 7 | 3 | | 8 | 40 | | 9 | 46 | | 10 | 3 | | 11 | 59 | | 12 | 4 | | 13 | 18 | | 14 | 9 | | 15 | 26 | | 16 | 85 | | 17 | 26 | | 18 | 4 | | 19 | 32 | | 20 | 57 | | 21 | 6 | | 22 | 45 | | 23 | 67 | | 24 | 33 | | 25 | 74 | | 26 | 3 | | 27 | 31 | | 28 | 71 | | 29 | 29 | | 30 | 49 | | 31 | 35 | | 32 | 4 | | 33 | 7 | | 34 | 79 | | 35 | 27 |
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| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 208 | | matches | | 0 | "was gone" | | 1 | "been shaped" | | 2 | "was gone" | | 3 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 273 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 208 | | ratio | 0.005 | | matches | | 0 | "Faint etchings glowed beneath the grime—spirals, runes, a gateway carved into the oldest wood." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 266 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 8 | | adverbRatio | 0.03007518796992481 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.011278195488721804 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 208 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 208 | | mean | 6.85 | | std | 6.08 | | cv | 0.887 | | sampleLengths | | 0 | 16 | | 1 | 8 | | 2 | 19 | | 3 | 11 | | 4 | 3 | | 5 | 4 | | 6 | 1 | | 7 | 10 | | 8 | 12 | | 9 | 17 | | 10 | 18 | | 11 | 2 | | 12 | 23 | | 13 | 20 | | 14 | 3 | | 15 | 12 | | 16 | 23 | | 17 | 25 | | 18 | 2 | | 19 | 2 | | 20 | 11 | | 21 | 9 | | 22 | 5 | | 23 | 36 | | 24 | 4 | | 25 | 8 | | 26 | 8 | | 27 | 1 | | 28 | 6 | | 29 | 2 | | 30 | 21 | | 31 | 15 | | 32 | 4 | | 33 | 13 | | 34 | 2 | | 35 | 2 | | 36 | 3 | | 37 | 13 | | 38 | 15 | | 39 | 5 | | 40 | 14 | | 41 | 5 | | 42 | 2 | | 43 | 6 | | 44 | 12 | | 45 | 2 | | 46 | 1 | | 47 | 5 | | 48 | 2 | | 49 | 3 |
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| 43.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 27 | | diversityRatio | 0.34134615384615385 | | totalSentences | 208 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 153 | | matches | | 0 | "Just a black screen reflecting" | | 1 | "Just the slow drip of" | | 2 | "Only oaks, shadow, bloom." | | 3 | "Then came the footsteps." | | 4 | "Exactly half a second behind" | | 5 | "Then another shape, lower, gliding" | | 6 | "Just shadow and stone." | | 7 | "Just smooth, bark-like surfaces and" |
| | ratio | 0.052 | |
| 78.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 54 | | totalSentences | 153 | | matches | | 0 | "She knew the boundary wasn’t" | | 1 | "It was air, pressure, the" | | 2 | "She stepped across an invisible" | | 3 | "It pulsed once, a slow" | | 4 | "She didn’t know what she’d" | | 5 | "Their trunks had been shaped" | | 6 | "She checked her watch." | | 7 | "She frowned, slid it back" | | 8 | "She pulled out her phone" | | 9 | "She touched the small crescent" | | 10 | "She was twenty-five, she was" | | 11 | "She walked deeper." | | 12 | "She followed the pendant’s warmth." | | 13 | "It tightened near her sternum," | | 14 | "She turned slowly, scanning the" | | 15 | "She kept moving." | | 16 | "She paused to reorient, boot" | | 17 | "Her heel caught." | | 18 | "She stumbled, catching herself on" | | 19 | "They were turned." |
| | ratio | 0.353 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 110 | | totalSentences | 153 | | matches | | 0 | "The iron gates of Richmond" | | 1 | "She knew the boundary wasn’t" | | 2 | "It was air, pressure, the" | | 3 | "She stepped across an invisible" | | 4 | "London was gone." | | 5 | "Here, only breathing remained." | | 6 | "The Heartstone pendant lay heavy" | | 7 | "It pulsed once, a slow" | | 8 | "A weight she had carried" | | 9 | "She didn’t know what she’d" | | 10 | "That was enough." | | 11 | "The grove opened before her," | | 12 | "Their trunks had been shaped" | | 13 | "Wildflowers bloomed along the perimeter," | | 14 | "A pocket stitched between worlds" | | 15 | "Rory told herself this was" | | 16 | "She checked her watch." | | 17 | "The second hand twitched, stuttered," | | 18 | "She frowned, slid it back" | | 19 | "She pulled out her phone" |
| | ratio | 0.719 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 5 | | totalSentences | 153 | | matches | | 0 | "To find the Hel portal." | | 1 | "To step through and leave" | | 2 | "When you’re close enough to" | | 3 | "To her left." | | 4 | "Now the door was here." |
| | ratio | 0.033 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 2 | | matches | | 0 | "It was air, pressure, the sudden drop in temperature that made the fine hairs on her arms stand up." | | 1 | "The grove had reconfigured itself around her, oaks sliding into new formations, stones realigning with soft, grinding whispers." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |