| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1317 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slowly" | | 2 | "gently" | | 3 | "suddenly" |
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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) | |
| 1.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1317 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "down her spine" | | count | 1 |
| | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "chill" | | 1 | "fractured" | | 2 | "pulse" | | 3 | "warmth" | | 4 | "silence" | | 5 | "sentinels" | | 6 | "flickered" | | 7 | "down her spine" | | 8 | "resonance" | | 9 | "weight" | | 10 | "echoed" | | 11 | "gloom" | | 12 | "whisper" | | 13 | "resonated" | | 14 | "footsteps" | | 15 | "pulsed" | | 16 | "cacophony" | | 17 | "scanning" | | 18 | "sentinel" | | 19 | "churning" |
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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 | 110 | | matches | (empty) | |
| 51.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 6 | | narrationSentences | 110 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1312 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1293 | | uniqueNames | 10 | | maxNameDensity | 1.16 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 1 | | Aurora | 15 | | London | 1 | | Heartstone | 2 | | Pendant | 2 | | Heathrow | 1 | | Fae | 1 | | Grove | 1 | | Welsh | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Fae" |
| | globalScore | 0.92 | | windowScore | 1 | |
| 64.77% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 3 | | matches | | 0 | "as if whispering to one another" | | 1 | "seemed deeper than they should be, pooling like spilled ink" | | 2 | "as if staring directly at her" |
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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 | 1312 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 27.33 | | std | 17.27 | | cv | 0.632 | | sampleLengths | | 0 | 48 | | 1 | 66 | | 2 | 30 | | 3 | 16 | | 4 | 41 | | 5 | 5 | | 6 | 66 | | 7 | 19 | | 8 | 24 | | 9 | 42 | | 10 | 10 | | 11 | 43 | | 12 | 14 | | 13 | 25 | | 14 | 53 | | 15 | 8 | | 16 | 42 | | 17 | 7 | | 18 | 43 | | 19 | 49 | | 20 | 13 | | 21 | 9 | | 22 | 13 | | 23 | 16 | | 24 | 54 | | 25 | 42 | | 26 | 20 | | 27 | 12 | | 28 | 32 | | 29 | 18 | | 30 | 19 | | 31 | 18 | | 32 | 1 | | 33 | 29 | | 34 | 25 | | 35 | 24 | | 36 | 3 | | 37 | 53 | | 38 | 18 | | 39 | 6 | | 40 | 36 | | 41 | 13 | | 42 | 54 | | 43 | 23 | | 44 | 4 | | 45 | 33 | | 46 | 31 | | 47 | 42 |
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| 95.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 110 | | matches | | 0 | "was gone" | | 1 | "were arranged" | | 2 | "was gone" |
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| 1.98% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 202 | | matches | | 0 | "was standing" | | 1 | "was not standing" | | 2 | "was coming" | | 3 | "was crawling" | | 4 | "was burning" | | 5 | "was opening" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 112 | | ratio | 0.054 | | matches | | 0 | "The city sounds—the distant hum of the A3, the drone of late-night Heathrow flights—drifted away, swallowed by an abrupt, suffocating silence." | | 1 | "It was no longer empty; it felt expectant, like a breath held in a dark room." | | 2 | "Her own voice sounded strange to her ears now—strained, higher in pitch." | | 3 | "A figure was standing beneath its branches in the reflection—a figure that was not standing there in the real world." | | 4 | "Another sound joined the whisper—the distinct, heavy thud of footsteps." | | 5 | "It didn't drop from branch to branch; it drifted, a dense mass of darkness that block out the stars as it passed, moving with a jerky, unnatural rhythm." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1307 | | adjectiveStacks | 3 | | stackExamples | | 0 | "massive, lightning-scarred oak" | | 1 | "sharp, petrol-tainted breeze" | | 2 | "thick, thorn-choked briars" |
| | adverbCount | 41 | | adverbRatio | 0.03136954858454476 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.016067329762815608 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 11.71 | | std | 6.56 | | cv | 0.56 | | sampleLengths | | 0 | 28 | | 1 | 5 | | 2 | 15 | | 3 | 17 | | 4 | 11 | | 5 | 3 | | 6 | 2 | | 7 | 14 | | 8 | 19 | | 9 | 9 | | 10 | 21 | | 11 | 16 | | 12 | 4 | | 13 | 18 | | 14 | 19 | | 15 | 5 | | 16 | 9 | | 17 | 4 | | 18 | 12 | | 19 | 13 | | 20 | 7 | | 21 | 21 | | 22 | 13 | | 23 | 6 | | 24 | 3 | | 25 | 21 | | 26 | 6 | | 27 | 20 | | 28 | 7 | | 29 | 9 | | 30 | 10 | | 31 | 11 | | 32 | 16 | | 33 | 16 | | 34 | 13 | | 35 | 1 | | 36 | 2 | | 37 | 7 | | 38 | 16 | | 39 | 14 | | 40 | 11 | | 41 | 3 | | 42 | 3 | | 43 | 3 | | 44 | 19 | | 45 | 8 | | 46 | 7 | | 47 | 18 | | 48 | 5 | | 49 | 12 |
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| 48.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.32142857142857145 | | totalSentences | 112 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 104 | | matches | | 0 | "Only the soft rustle of" | | 1 | "Instead, she watched the reflection" | | 2 | "Only the empty willow tree" | | 3 | "Suddenly, her chest flared with" |
| | ratio | 0.038 | |
| 89.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 104 | | matches | | 0 | "She reached into her coat," | | 1 | "It remained cold." | | 2 | "She stepped through a gap" | | 3 | "She checked her watch." | | 4 | "She needed to find the" | | 5 | "She walked deeper into the" | | 6 | "It remained inert, a dead" | | 7 | "She tucked a stray strand" | | 8 | "she called out, hoping her" | | 9 | "It was no longer empty;" | | 10 | "She turned back toward the" | | 11 | "Her boots made no sound" | | 12 | "She blinked, shaking her head." | | 13 | "Her own voice sounded strange" | | 14 | "She rubbed it against her" | | 15 | "It reflected the night sky," | | 16 | "She knelt at the water's" | | 17 | "she whispered to the empty" | | 18 | "She didn't look up immediately." | | 19 | "It had no face, only" |
| | ratio | 0.327 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 104 | | matches | | 0 | "The damp chill of Richmond" | | 1 | "Midnight had come and gone." | | 2 | "She reached into her coat," | | 3 | "The crimson gem rested flat" | | 4 | "It remained cold." | | 5 | "The Richmond grove held the" | | 6 | "Aurora pushed past a thick" | | 7 | "The city sounds—the distant hum" | | 8 | "She stepped through a gap" | | 9 | "The air changed instantly." | | 10 | "The sharp, petrol-tainted breeze of" | | 11 | "Underfoot, the dead leaves gave" | | 12 | "This was the Fae Grove." | | 13 | "Aurora stopped, her breath misting" | | 14 | "She checked her watch." | | 15 | "The digital face flickered, the" | | 16 | "A shiver rippled down her" | | 17 | "She needed to find the" | | 18 | "Aurora’s voice sounded flat, stripped" | | 19 | "She walked deeper into the" |
| | ratio | 0.846 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 60.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 7 | | matches | | 0 | "The Richmond grove held the answers she needed about the benefactor who had slipped the artifact into her life." | | 1 | "She stepped through a gap between two massive, lightning-scarred oak trees that stood like petrified sentinels." | | 2 | "Underfoot, the dead leaves gave way to lush, vibrant wildflowers that shone with an unnatural luminescence under the moonlight." | | 3 | "The standing stones, ancient oaks warped by centuries of localized temporal rifts, leaned inward as if whispering to one another." | | 4 | "The stars reflected in the pool were arranged in unfamiliar, jagged constellations that hurt her eyes to look at directly." | | 5 | "A figure was standing beneath its branches in the reflection—a figure that was not standing there in the real world." | | 6 | "It pulsed against her skin, a fierce, angry heat that traveled up her throat." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 4 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she muttered (mutter)" | | 2 | "she whispered (whisper)" | | 3 | "she demanded (demand)" |
| | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |