| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "the voice whispered again [again]" |
| | dialogueSentences | 10 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.167 | | effectiveRatio | 0.167 | |
| 95.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1107 | | 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) | |
| 23.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1107 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "weight" | | 1 | "stark" | | 2 | "reminder" | | 3 | "chill" | | 4 | "pulsed" | | 5 | "perfect" | | 6 | "throbbed" | | 7 | "silence" | | 8 | "vibrated" | | 9 | "could feel" | | 10 | "flickered" | | 11 | "loomed" | | 12 | "warmth" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "knuckles turned white" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 171 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 171 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 175 | | 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 | 1107 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 1086 | | uniqueNames | 6 | | maxNameDensity | 0.74 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Grove | 4 | | London | 1 | | November | 1 | | Heartstone | 1 | | Pendant | 1 | | Aurora | 8 |
| | persons | | 0 | "Grove" | | 1 | "November" | | 2 | "Pendant" | | 3 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like her own, distorted and stretc" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.903 | | wordCount | 1107 | | matches | | 0 | "Not a sound, but a vibration" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 175 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 24.07 | | std | 25.51 | | cv | 1.06 | | sampleLengths | | 0 | 108 | | 1 | 74 | | 2 | 8 | | 3 | 11 | | 4 | 70 | | 5 | 6 | | 6 | 38 | | 7 | 22 | | 8 | 19 | | 9 | 32 | | 10 | 49 | | 11 | 31 | | 12 | 6 | | 13 | 37 | | 14 | 42 | | 15 | 2 | | 16 | 12 | | 17 | 37 | | 18 | 16 | | 19 | 3 | | 20 | 10 | | 21 | 23 | | 22 | 3 | | 23 | 26 | | 24 | 30 | | 25 | 14 | | 26 | 11 | | 27 | 2 | | 28 | 15 | | 29 | 25 | | 30 | 3 | | 31 | 6 | | 32 | 15 | | 33 | 7 | | 34 | 10 | | 35 | 1 | | 36 | 91 | | 37 | 16 | | 38 | 13 | | 39 | 83 | | 40 | 7 | | 41 | 1 | | 42 | 56 | | 43 | 8 | | 44 | 4 | | 45 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 171 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 201 | | matches | | 0 | "wasn't settling" | | 1 | "was rising" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 175 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1087 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.02483900643974241 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007359705611775529 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 175 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 175 | | mean | 6.33 | | std | 4.32 | | cv | 0.683 | | sampleLengths | | 0 | 22 | | 1 | 19 | | 2 | 13 | | 3 | 24 | | 4 | 5 | | 5 | 25 | | 6 | 14 | | 7 | 11 | | 8 | 4 | | 9 | 4 | | 10 | 3 | | 11 | 14 | | 12 | 7 | | 13 | 2 | | 14 | 15 | | 15 | 2 | | 16 | 6 | | 17 | 3 | | 18 | 8 | | 19 | 4 | | 20 | 5 | | 21 | 8 | | 22 | 10 | | 23 | 7 | | 24 | 4 | | 25 | 3 | | 26 | 13 | | 27 | 16 | | 28 | 6 | | 29 | 2 | | 30 | 5 | | 31 | 16 | | 32 | 8 | | 33 | 5 | | 34 | 1 | | 35 | 1 | | 36 | 5 | | 37 | 2 | | 38 | 4 | | 39 | 11 | | 40 | 4 | | 41 | 12 | | 42 | 3 | | 43 | 6 | | 44 | 3 | | 45 | 4 | | 46 | 8 | | 47 | 11 | | 48 | 3 | | 49 | 11 |
| |
| 38.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.22857142857142856 | | totalSentences | 175 | | uniqueOpeners | 40 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 152 | | matches | | 0 | "Just the wind, which didn't" | | 1 | "Just bare, dark earth." | | 2 | "Bright red light washed over" | | 3 | "Just a blank face." |
| | ratio | 0.026 | |
| 54.21% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 63 | | totalSentences | 152 | | matches | | 0 | "It pressed against her eardrums," | | 1 | "She pulled her jacket tighter." | | 2 | "They shouldn't be here." | | 3 | "Her hand went to her" | | 4 | "She checked her watch." | | 5 | "She blinked, rubbed her eyes," | | 6 | "She shoved the watch into" | | 7 | "She knew that." | | 8 | "She didn't turn her head." | | 9 | "She kept her eyes on" | | 10 | "It sounded like a footstep." | | 11 | "She reached for her phone." | | 12 | "she called out" | | 13 | "Her voice lacked the confidence" | | 14 | "It sounded small." | | 15 | "She moved forward." | | 16 | "Her boots sank into soil" | | 17 | "It burned through the fabric" | | 18 | "She gritted her teeth." | | 19 | "She reached the center of" |
| | ratio | 0.414 | |
| 29.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 131 | | totalSentences | 152 | | matches | | 0 | "The boundary stones rose from" | | 1 | "Aurora stepped past the last" | | 2 | "The air in the Grove" | | 3 | "It pressed against her eardrums," | | 4 | "She pulled her jacket tighter." | | 5 | "The delivery bag hung heavy" | | 6 | "Here, the wildflowers bloomed in" | | 7 | "Bluebells tangled with poppies, their" | | 8 | "They shouldn't be here." | | 9 | "Nothing should be here." | | 10 | "Aurora ignored them." | | 11 | "Her hand went to her" | | 12 | "The Heartstone Pendant sat against" | | 13 | "The vibration spiked, sharp and" | | 14 | "The word died instantly, swallowed" | | 15 | "She checked her watch." | | 16 | "The second hand ticked backward." | | 17 | "She blinked, rubbed her eyes," | | 18 | "The hand spun counter-clockwise, a" | | 19 | "She shoved the watch into" |
| | ratio | 0.862 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 152 | | matches | | 0 | "If she turned, she would" | | 1 | "If she saw it, she" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she muttered (mutter)" | | 2 | "the voice whispered again (whisper)" |
| | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.6 | | effectiveRatio | 0.6 | |