| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 95.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2235 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 14.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2235 | | totalAiIsms | 38 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | |
| | highlights | | 0 | "velvet" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "shimmered" | | 4 | "chaotic" | | 5 | "silence" | | 6 | "scanned" | | 7 | "weight" | | 8 | "throbbed" | | 9 | "pulse" | | 10 | "wavered" | | 11 | "fractured" | | 12 | "perfect" | | 13 | "unreadable" | | 14 | "chill" | | 15 | "traced" | | 16 | "echoed" | | 17 | "flickered" | | 18 | "electric" | | 19 | "gloom" | | 20 | "dancing" | | 21 | "quickened" | | 22 | "structure" | | 23 | "tension" | | 24 | "loomed" | | 25 | "vibrated" | | 26 | "echoes" | | 27 | "rhythmic" |
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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 | 310 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 4 | | narrationSentences | 310 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 310 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2230 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 102 | | wordCount | 2230 | | uniqueNames | 15 | | maxNameDensity | 1.97 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Richmond | 2 | | Park | 2 | | November | 1 | | Varga | 1 | | London | 2 | | Fae-Forged | 1 | | Blade | 1 | | Aurora | 44 | | Veil | 1 | | Nyx | 15 | | Isolde | 25 | | Heartstone | 1 | | Rory | 1 | | You | 4 |
| | persons | | 0 | "Carter" | | 1 | "Varga" | | 2 | "Blade" | | 3 | "Aurora" | | 4 | "Veil" | | 5 | "Nyx" | | 6 | "Isolde" | | 7 | "Rory" | | 8 | "You" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.513 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 177 | | glossingSentenceCount | 3 | | matches | | 0 | "carvings that seemed to move when she looked away" | | 1 | "roof that seemed to hold up the earth itself" | | 2 | "sounded like voices, distant and layered" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.448 | | wordCount | 2230 | | matches | | 0 | "Not an earthquake, but a subtle slide, like a ship on a calm sea" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 310 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 152 | | mean | 14.67 | | std | 14.23 | | cv | 0.97 | | sampleLengths | | 0 | 90 | | 1 | 49 | | 2 | 20 | | 3 | 5 | | 4 | 17 | | 5 | 7 | | 6 | 41 | | 7 | 9 | | 8 | 69 | | 9 | 31 | | 10 | 8 | | 11 | 22 | | 12 | 21 | | 13 | 15 | | 14 | 8 | | 15 | 10 | | 16 | 31 | | 17 | 8 | | 18 | 41 | | 19 | 2 | | 20 | 51 | | 21 | 12 | | 22 | 11 | | 23 | 28 | | 24 | 5 | | 25 | 7 | | 26 | 13 | | 27 | 12 | | 28 | 44 | | 29 | 3 | | 30 | 2 | | 31 | 35 | | 32 | 12 | | 33 | 1 | | 34 | 1 | | 35 | 9 | | 36 | 22 | | 37 | 5 | | 38 | 9 | | 39 | 38 | | 40 | 14 | | 41 | 8 | | 42 | 2 | | 43 | 9 | | 44 | 21 | | 45 | 3 | | 46 | 15 | | 47 | 46 | | 48 | 13 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 310 | | matches | | 0 | "were gone" | | 1 | "are carved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 411 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 310 | | ratio | 0.006 | | matches | | 0 | "Wildflowers erupted from the ground in chaotic bursts of color—poppies, bluebells, and roses blooming side by side in the dead of winter." | | 1 | "Isolde waited by a stone altar covered in fresh offerings—fruit, ribbons, and locks of hair tied with twine." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2235 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, warm against her" |
| | adverbCount | 41 | | adverbRatio | 0.018344519015659956 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0035794183445190158 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 310 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 310 | | mean | 7.19 | | std | 4.24 | | cv | 0.59 | | sampleLengths | | 0 | 23 | | 1 | 23 | | 2 | 15 | | 3 | 9 | | 4 | 20 | | 5 | 7 | | 6 | 18 | | 7 | 15 | | 8 | 9 | | 9 | 7 | | 10 | 5 | | 11 | 8 | | 12 | 5 | | 13 | 4 | | 14 | 13 | | 15 | 7 | | 16 | 8 | | 17 | 25 | | 18 | 8 | | 19 | 9 | | 20 | 5 | | 21 | 8 | | 22 | 6 | | 23 | 8 | | 24 | 20 | | 25 | 22 | | 26 | 5 | | 27 | 12 | | 28 | 14 | | 29 | 8 | | 30 | 15 | | 31 | 7 | | 32 | 10 | | 33 | 11 | | 34 | 7 | | 35 | 8 | | 36 | 8 | | 37 | 10 | | 38 | 9 | | 39 | 9 | | 40 | 13 | | 41 | 8 | | 42 | 5 | | 43 | 10 | | 44 | 10 | | 45 | 3 | | 46 | 13 | | 47 | 2 | | 48 | 2 | | 49 | 4 |
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| 42.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.22258064516129034 | | totalSentences | 310 | | uniqueOpeners | 69 | |
| 45.82% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 291 | | matches | | 0 | "Then you will find the" | | 1 | "Then she focused on the" | | 2 | "Then the path will be" | | 3 | "Then the path will twist." |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 69 | | totalSentences | 291 | | matches | | 0 | "She looked at the ancient" | | 1 | "Her silver hair flowed down" | | 2 | "She walked across the wet" | | 3 | "She lifted her gaze to" | | 4 | "You walk like a ghost." | | 5 | "She drew the Fae-Forged Blade." | | 6 | "She ran a hand over" | | 7 | "She raised the blade, the" | | 8 | "Her breath hitched." | | 9 | "She scanned the tree line." | | 10 | "Her feet still left no" | | 11 | "She shoved her hand into" | | 12 | "I carry plenty of yesterday." | | 13 | "I can see the threads." | | 14 | "It fractured the light, splitting" | | 15 | "I see it." | | 16 | "She picked up a red" | | 17 | "She tossed it to Aurora." | | 18 | "She looked at Isolde." | | 19 | "You cannot lie to me." |
| | ratio | 0.237 | |
| 27.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 252 | | totalSentences | 291 | | matches | | 0 | "Rain slicked the leaves of" | | 1 | "Aurora Carter paused at the" | | 2 | "The moonsilver metal bit into" | | 3 | "She looked at the ancient" | | 4 | "Moss choked their bases, thick" | | 5 | "Isolde Varga stepped forward without" | | 6 | "Her silver hair flowed down" | | 7 | "She walked across the wet" | | 8 | "Aurora glanced down at her" | | 9 | "Mud squelched around the soles." | | 10 | "She lifted her gaze to" | | 11 | "You walk like a ghost." | | 12 | "Isolde did not turn." | | 13 | "The lavender glow of her" | | 14 | "The ground remembers who belongs" | | 15 | "Nyx drifted through the gap" | | 16 | "The shadow entity shifted, their" | | 17 | "The air tastes of old" | | 18 | "Aurora stepped across the line." | | 19 | "The change hit her like" |
| | ratio | 0.866 | |
| 17.18% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 291 | | matches | | | ratio | 0.003 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 3 | | matches | | 0 | "The shadow entity shifted, their form solidifying into a tall humanoid silhouette before dissolving into wisps of darkness that coalesced again on the other sid…" | | 1 | "The leaf-shaped dagger hummed, a low vibration that traveled up her arm." | | 2 | "Every trunk looked identical, marked with spiraling carvings that seemed to move when she looked away." |
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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 | |