| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 2 | | adverbTags | | 0 | "the voice mimicked perfectly [perfectly]" | | 1 | "Eva's voice echoed again [again]" |
| | dialogueSentences | 15 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.333 | | effectiveRatio | 0.267 | |
| 84.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 976 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "completely" | | 1 | "slowly" | | 2 | "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) | |
| 12.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 976 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "navigated" | | 1 | "gloom" | | 2 | "pulsed" | | 3 | "rhythmic" | | 4 | "stark" | | 5 | "silence" | | 6 | "flickered" | | 7 | "throbbed" | | 8 | "echoed" | | 9 | "vibrated" | | 10 | "chill" |
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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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 976 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 866 | | uniqueNames | 10 | | maxNameDensity | 1.15 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 10 | | Richmond | 1 | | Park | 1 | | Eva | 4 | | Heartstone | 2 | | Service | 1 | | London | 1 | | Silence | 1 | | Hel | 1 | | Silas | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Silence" | | 3 | "Silas" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.923 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like stepping through a wall of co" |
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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 | 976 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 23.8 | | std | 15.48 | | cv | 0.65 | | sampleLengths | | 0 | 57 | | 1 | 24 | | 2 | 17 | | 3 | 12 | | 4 | 19 | | 5 | 35 | | 6 | 9 | | 7 | 20 | | 8 | 11 | | 9 | 12 | | 10 | 40 | | 11 | 56 | | 12 | 38 | | 13 | 32 | | 14 | 5 | | 15 | 20 | | 16 | 11 | | 17 | 2 | | 18 | 50 | | 19 | 35 | | 20 | 39 | | 21 | 20 | | 22 | 36 | | 23 | 11 | | 24 | 3 | | 25 | 13 | | 26 | 9 | | 27 | 49 | | 28 | 3 | | 29 | 24 | | 30 | 50 | | 31 | 46 | | 32 | 17 | | 33 | 9 | | 34 | 17 | | 35 | 2 | | 36 | 20 | | 37 | 26 | | 38 | 33 | | 39 | 22 | | 40 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 93 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 870 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 21 | | adverbRatio | 0.02413793103448276 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008045977011494253 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 10.49 | | std | 5.71 | | cv | 0.544 | | sampleLengths | | 0 | 15 | | 1 | 18 | | 2 | 24 | | 3 | 11 | | 4 | 13 | | 5 | 17 | | 6 | 12 | | 7 | 19 | | 8 | 10 | | 9 | 9 | | 10 | 16 | | 11 | 9 | | 12 | 20 | | 13 | 11 | | 14 | 12 | | 15 | 4 | | 16 | 8 | | 17 | 11 | | 18 | 17 | | 19 | 11 | | 20 | 10 | | 21 | 4 | | 22 | 11 | | 23 | 20 | | 24 | 7 | | 25 | 12 | | 26 | 7 | | 27 | 1 | | 28 | 11 | | 29 | 4 | | 30 | 12 | | 31 | 16 | | 32 | 5 | | 33 | 13 | | 34 | 7 | | 35 | 11 | | 36 | 2 | | 37 | 14 | | 38 | 10 | | 39 | 16 | | 40 | 10 | | 41 | 12 | | 42 | 6 | | 43 | 17 | | 44 | 2 | | 45 | 15 | | 46 | 6 | | 47 | 16 | | 48 | 6 | | 49 | 3 |
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| 49.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3225806451612903 | | totalSentences | 93 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 79 | | matches | | 0 | "Just the towering oaks and" | | 1 | "More movement caught her peripheral" | | 2 | "Then a third from the" |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 79 | | matches | | 0 | "She pulled her phone from" | | 1 | "She shoved the device back" | | 2 | "She swept the light across" | | 3 | "She checked her wristwatch." | | 4 | "Her voice sounded flat, absorbed" | | 5 | "She adjusted her grip on" | | 6 | "She killed the flashlight, plunging" | | 7 | "Her eyes adjusted to the" | | 8 | "It circled her, staying just" | | 9 | "She pivoted slowly, tracking the" | | 10 | "Her boots sank into the" | | 11 | "It sounded exactly like Eva." | | 12 | "She reached up and gripped" | | 13 | "She thumbed the heavy butt" | | 14 | "Her bright blue eyes darted" | | 15 | "It lacked distinct features, a" | | 16 | "She planted her feet, her" | | 17 | "Her breath plumed in the" |
| | ratio | 0.228 | |
| 4.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 79 | | matches | | 0 | "Branches whipped against Rory’s leather" | | 1 | "The ancient oak standing stones" | | 2 | "A thick carpet of night-blooming" | | 3 | "She pulled her phone from" | | 4 | "The harsh screen illumination highlighted" | | 5 | "Eva’s voice crackled through the" | | 6 | "Rory rubbed the deep crimson" | | 7 | "The Heartstone pendant pulsed with" | | 8 | "A faint inner glow bled" | | 9 | "The line went dead." | | 10 | "Rory pulled the phone away" | | 11 | "The signal bars vanished, replaced" | | 12 | "She shoved the device back" | | 13 | "The transition felt like stepping" | | 14 | "A physical resistance pushed against" | | 15 | "The air pressure plummeted." | | 16 | "A heavy, suffocating silence swallowed" | | 17 | "The wildflowers here grew waist-high," | | 18 | "Rory clicked on her heavy" | | 19 | "The beam cut through the" |
| | ratio | 0.911 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "To her right, another shadow" |
| | ratio | 0.013 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "A thick carpet of night-blooming wildflowers crushed beneath her boots, releasing a cloying, sweet perfume that masked the damp rot of the forest floor." | | 1 | "The crimson gem throbbed in time with her heartbeat, radiating a heat that bordered on painful." | | 2 | "It lacked distinct features, a towering silhouette of shifting gray mist that absorbed the moonlight." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "the voice whispered (whisper)" |
| | dialogueSentences | 15 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 1 | | effectiveRatio | 0.133 | |