| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 97.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1714 | | totalAiIsmAdverbs | 1 | | 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) | |
| 32.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1714 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "charged" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "whisper" | | 4 | "shattered" | | 5 | "shimmered" | | 6 | "rhythmic" | | 7 | "echoes" | | 8 | "traced" | | 9 | "etching" | | 10 | "tapestry" | | 11 | "chill" | | 12 | "silence" | | 13 | "warmth" | | 14 | "pulse" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "clenched her jaw" | | 2 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 395 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 395 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 395 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 18 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1714 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 93 | | wordCount | 1714 | | uniqueNames | 13 | | maxNameDensity | 1.23 | | worstName | "Nyx" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 20 | | London | 1 | | Isolde | 16 | | Heartstone | 2 | | Nyx | 21 | | Fae | 1 | | Cold | 7 | | Shadow | 6 | | Fingers | 6 | | Violet | 3 | | Silver | 3 | | Boots | 3 | | Close | 4 |
| | persons | | 0 | "Rory" | | 1 | "Isolde" | | 2 | "Heartstone" | | 3 | "Nyx" | | 4 | "Cold" | | 5 | "Shadow" | | 6 | "Fingers" | | 7 | "Violet" | | 8 | "Boots" |
| | places | | | globalScore | 0.887 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 101 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like dry reeds scraping over slate" |
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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 | 1714 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 395 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 32.96 | | std | 19.18 | | cv | 0.582 | | sampleLengths | | 0 | 102 | | 1 | 42 | | 2 | 10 | | 3 | 60 | | 4 | 8 | | 5 | 43 | | 6 | 46 | | 7 | 20 | | 8 | 45 | | 9 | 34 | | 10 | 7 | | 11 | 60 | | 12 | 32 | | 13 | 37 | | 14 | 42 | | 15 | 22 | | 16 | 50 | | 17 | 10 | | 18 | 45 | | 19 | 19 | | 20 | 26 | | 21 | 54 | | 22 | 13 | | 23 | 22 | | 24 | 45 | | 25 | 32 | | 26 | 6 | | 27 | 20 | | 28 | 11 | | 29 | 55 | | 30 | 29 | | 31 | 44 | | 32 | 20 | | 33 | 13 | | 34 | 58 | | 35 | 16 | | 36 | 17 | | 37 | 48 | | 38 | 43 | | 39 | 33 | | 40 | 29 | | 41 | 36 | | 42 | 19 | | 43 | 36 | | 44 | 24 | | 45 | 9 | | 46 | 11 | | 47 | 56 | | 48 | 21 | | 49 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 395 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 340 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 395 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1715 | | adjectiveStacks | 2 | | stackExamples | | 0 | "lay cold against her" | | 1 | "lay hot against her" |
| | adverbCount | 32 | | adverbRatio | 0.018658892128279883 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0011661807580174927 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 395 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 395 | | mean | 4.34 | | std | 2.81 | | cv | 0.648 | | sampleLengths | | 0 | 12 | | 1 | 2 | | 2 | 1 | | 3 | 11 | | 4 | 10 | | 5 | 18 | | 6 | 5 | | 7 | 2 | | 8 | 8 | | 9 | 15 | | 10 | 5 | | 11 | 5 | | 12 | 1 | | 13 | 7 | | 14 | 5 | | 15 | 16 | | 16 | 9 | | 17 | 12 | | 18 | 4 | | 19 | 6 | | 20 | 12 | | 21 | 6 | | 22 | 16 | | 23 | 7 | | 24 | 14 | | 25 | 5 | | 26 | 5 | | 27 | 3 | | 28 | 4 | | 29 | 8 | | 30 | 4 | | 31 | 4 | | 32 | 11 | | 33 | 2 | | 34 | 10 | | 35 | 5 | | 36 | 10 | | 37 | 9 | | 38 | 12 | | 39 | 10 | | 40 | 7 | | 41 | 8 | | 42 | 5 | | 43 | 2 | | 44 | 7 | | 45 | 7 | | 46 | 5 | | 47 | 5 | | 48 | 3 | | 49 | 4 |
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| 56.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 27 | | diversityRatio | 0.3822784810126582 | | totalSentences | 395 | | uniqueOpeners | 151 | |
| 81.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 288 | | matches | | 0 | "Just damp earth that sealed" | | 1 | "All worn smooth by centuries" | | 2 | "Light washed over the path" | | 3 | "Just felt the weight." | | 4 | "Then snapped back." | | 5 | "Just held it." | | 6 | "Then rushed outward." |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 288 | | matches | | 0 | "They stepped through the gap" | | 1 | "She kept her posture loose." | | 2 | "You walk on breath and" | | 3 | "Her heels never kissed the" | | 4 | "She raised a hand to" | | 5 | "She flexed her fingers." | | 6 | "She watched Isolde’s bare feet" | | 7 | "It shattered into glitter that" | | 8 | "It rises from the soil." | | 9 | "She pressed two fingers to" | | 10 | "She pulled her hand back." | | 11 | "She unclasped the chain and" | | 12 | "They recognize their own." | | 13 | "She clamped the pendant in" | | 14 | "She tucked the stone back" | | 15 | "She nodded toward the stones." | | 16 | "They do not ask questions." | | 17 | "They answer them before you" | | 18 | "She reached out." | | 19 | "He stepped back into shape." |
| | ratio | 0.139 | |
| 65.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 227 | | totalSentences | 288 | | matches | | 0 | "They stepped through the gap" | | 1 | "The scent of crushed mint" | | 2 | "Ground cover shifted from compacted" | | 3 | "She kept her posture loose." | | 4 | "Weight balanced on the balls" | | 5 | "The silver chain of her" | | 6 | "Heat bloomed beneath the fabric." | | 7 | "The crimson stone pulsed once." | | 8 | "A steady rhythm tapping against" | | 9 | "Nyx drifted apace behind her." | | 10 | "The shade’s silhouette elongated across" | | 11 | "Wind carried a whisper that" | | 12 | "The barrier thins here." | | 13 | "You walk on breath and" | | 14 | "Isolde moved ahead, silver hair" | | 15 | "Her heels never kissed the" | | 16 | "Wildflowers curled around her ankles," | | 17 | "She raised a hand to" | | 18 | "Time folded in the grain." | | 19 | "The roots bite." |
| | ratio | 0.788 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 288 | | matches | (empty) | | ratio | 0 | |
| 49.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 3 | | matches | | 0 | "Ground cover shifted from compacted London mud to a carpet of emerald moss that yielded under her boots." | | 1 | "Wildflowers curled around her ankles, blooming, wilting, blooming again in the span of a single stride." | | 2 | "Ancient oaks twisted outward, their bark carved with spirals that drank the ambient light." |
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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 | |