| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 33 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.559 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1530 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 50.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1530 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulsed" | | 1 | "weight" | | 2 | "gloom" | | 3 | "whisper" | | 4 | "warmth" | | 5 | "throbbed" | | 6 | "vibrated" | | 7 | "flickered" | | 8 | "shimmered" | | 9 | "stomach" |
| |
| 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 | 176 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 176 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 202 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1530 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 38 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 107 | | wordCount | 1273 | | uniqueNames | 10 | | maxNameDensity | 2.99 | | worstName | "Aurora" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 5 | | Aurora | 38 | | Fae | 1 | | Isolde | 36 | | Nyx | 18 | | London | 1 | | Watcher | 4 | | Grove | 2 | | Cardiff | 1 | | Earth | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Isolde" | | 3 | "Nyx" | | 4 | "Watcher" | | 5 | "Grove" |
| | places | | | globalScore | 0.007 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1530 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 202 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 87 | | mean | 17.59 | | std | 12.7 | | cv | 0.722 | | sampleLengths | | 0 | 38 | | 1 | 34 | | 2 | 4 | | 3 | 36 | | 4 | 19 | | 5 | 17 | | 6 | 32 | | 7 | 17 | | 8 | 8 | | 9 | 7 | | 10 | 6 | | 11 | 52 | | 12 | 5 | | 13 | 32 | | 14 | 22 | | 15 | 51 | | 16 | 3 | | 17 | 32 | | 18 | 9 | | 19 | 9 | | 20 | 12 | | 21 | 23 | | 22 | 5 | | 23 | 11 | | 24 | 30 | | 25 | 34 | | 26 | 46 | | 27 | 18 | | 28 | 3 | | 29 | 4 | | 30 | 8 | | 31 | 27 | | 32 | 9 | | 33 | 9 | | 34 | 14 | | 35 | 32 | | 36 | 14 | | 37 | 10 | | 38 | 8 | | 39 | 12 | | 40 | 28 | | 41 | 5 | | 42 | 9 | | 43 | 24 | | 44 | 14 | | 45 | 6 | | 46 | 32 | | 47 | 6 | | 48 | 8 | | 49 | 14 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 176 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 240 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 202 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1274 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.023547880690737835 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005494505494505495 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 202 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 202 | | mean | 7.57 | | std | 4.66 | | cv | 0.615 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 10 | | 3 | 6 | | 4 | 9 | | 5 | 4 | | 6 | 15 | | 7 | 4 | | 8 | 11 | | 9 | 13 | | 10 | 12 | | 11 | 4 | | 12 | 15 | | 13 | 14 | | 14 | 3 | | 15 | 8 | | 16 | 12 | | 17 | 7 | | 18 | 5 | | 19 | 9 | | 20 | 8 | | 21 | 4 | | 22 | 4 | | 23 | 7 | | 24 | 4 | | 25 | 2 | | 26 | 5 | | 27 | 10 | | 28 | 6 | | 29 | 12 | | 30 | 6 | | 31 | 13 | | 32 | 5 | | 33 | 2 | | 34 | 11 | | 35 | 3 | | 36 | 16 | | 37 | 3 | | 38 | 13 | | 39 | 6 | | 40 | 2 | | 41 | 9 | | 42 | 4 | | 43 | 16 | | 44 | 11 | | 45 | 9 | | 46 | 3 | | 47 | 17 | | 48 | 15 | | 49 | 3 |
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| 39.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.2623762376237624 | | totalSentences | 202 | | uniqueOpeners | 53 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 138 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 138 | | matches | | 0 | "She did not blink." | | 1 | "Her eyes were pale lavender" | | 2 | "They did not touch the" | | 3 | "It came from everywhere and" | | 4 | "They moved in a breeze" | | 5 | "Her hair moved as if" | | 6 | "It hung low, amber at" | | 7 | "They shifted when she wasn't" | | 8 | "They chimed when the wind" | | 9 | "It glowed faintly." | | 10 | "Their violet eyes fixed on" | | 11 | "She rubbed it without thinking." | | 12 | "It stopped when it saw" | | 13 | "Its face was a knot" | | 14 | "She gasped and pressed her" | | 15 | "She saw a second Grove" | | 16 | "Their shadow fell across her" | | 17 | "Her knees shook." | | 18 | "She had seen that shimmer" | | 19 | "Their form thinned." |
| | ratio | 0.174 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 131 | | totalSentences | 138 | | matches | | 0 | "The park smelled of damp" | | 1 | "Aurora pulled her jacket tighter" | | 2 | "The Heartstone pulsed once, warm" | | 3 | "Isolde stood between two ancient" | | 4 | "She did not blink." | | 5 | "Her eyes were pale lavender" | | 6 | "Aurora shifted the weight of" | | 7 | "The bag held nothing but" | | 8 | "The moonsilver stayed cold through" | | 9 | "Nyx unfolded from the shadow" | | 10 | "The silhouette stretched, solidified to" | | 11 | "Violet eyes glowed faintly in" | | 12 | "The air around them shivered." | | 13 | "A whisper rode the wind" | | 14 | "Isolde smiled without warmth." | | 15 | "Aurora touched the stone." | | 16 | "The oaks were not oaks." | | 17 | "The trunks twisted into rings" | | 18 | "Moss grew in patterns like" | | 19 | "Isolde stepped forward and the" |
| | ratio | 0.949 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 138 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "Her eyes were pale lavender and she watched Aurora with an expression that offered nothing." | | 1 | "Trees rose around the clearing, but their trunks were translucent, showing glimpses of roots that glowed." | | 2 | "A ring of standing stones rose from the moss, low and wide, each covered in carvings that moved under Aurora's gaze." | | 3 | "The wildflowers opened once more, slow and deliberate, bathing the clearing in color that had no name on Earth." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 33 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 33 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora breathed (breathe)" |
| | dialogueSentences | 59 | | tagDensity | 0.559 | | leniency | 1 | | rawRatio | 0.03 | | effectiveRatio | 0.03 | |