| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1605 | | 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) | |
| 12.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1605 | | totalAiIsms | 28 | | 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 | |
| | highlights | | 0 | "chill" | | 1 | "stomach" | | 2 | "warmth" | | 3 | "pulse" | | 4 | "silence" | | 5 | "weight" | | 6 | "echoed" | | 7 | "scanned" | | 8 | "flickered" | | 9 | "depths" | | 10 | "crystal" | | 11 | "whisper" | | 12 | "vibrated" | | 13 | "resonated" | | 14 | "pulsed" | | 15 | "rhythmic" | | 16 | "trembled" | | 17 | "mechanical" | | 18 | "throbbed" | | 19 | "grave" | | 20 | "loomed" | | 21 | "raced" | | 22 | "traced" | | 23 | "shimmered" |
| |
| 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 | 276 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 276 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 294 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 19 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1603 | | 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 | 12 | | wordCount | 1546 | | uniqueNames | 6 | | maxNameDensity | 0.19 | | worstName | "Thump" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Thump" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Grove | 2 | | November | 1 | | Heartstone | 2 | | Thump | 3 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 125 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like her name, but stretched out," | | 1 | "felt like a fish on a line" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1603 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 294 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 22.58 | | std | 17.9 | | cv | 0.793 | | sampleLengths | | 0 | 87 | | 1 | 45 | | 2 | 17 | | 3 | 65 | | 4 | 46 | | 5 | 4 | | 6 | 43 | | 7 | 36 | | 8 | 8 | | 9 | 39 | | 10 | 29 | | 11 | 4 | | 12 | 59 | | 13 | 15 | | 14 | 1 | | 15 | 14 | | 16 | 2 | | 17 | 46 | | 18 | 6 | | 19 | 3 | | 20 | 48 | | 21 | 42 | | 22 | 2 | | 23 | 39 | | 24 | 31 | | 25 | 25 | | 26 | 5 | | 27 | 42 | | 28 | 22 | | 29 | 1 | | 30 | 38 | | 31 | 19 | | 32 | 5 | | 33 | 33 | | 34 | 37 | | 35 | 2 | | 36 | 28 | | 37 | 38 | | 38 | 4 | | 39 | 33 | | 40 | 46 | | 41 | 19 | | 42 | 4 | | 43 | 39 | | 44 | 17 | | 45 | 24 | | 46 | 4 | | 47 | 28 | | 48 | 25 | | 49 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 276 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 292 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 294 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1548 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 34 | | adverbRatio | 0.021963824289405683 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.002583979328165375 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 294 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 294 | | mean | 5.45 | | std | 3.43 | | cv | 0.628 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 19 | | 3 | 17 | | 4 | 17 | | 5 | 6 | | 6 | 7 | | 7 | 10 | | 8 | 16 | | 9 | 7 | | 10 | 1 | | 11 | 2 | | 12 | 2 | | 13 | 4 | | 14 | 9 | | 15 | 4 | | 16 | 3 | | 17 | 3 | | 18 | 3 | | 19 | 9 | | 20 | 8 | | 21 | 14 | | 22 | 13 | | 23 | 12 | | 24 | 2 | | 25 | 6 | | 26 | 6 | | 27 | 12 | | 28 | 10 | | 29 | 3 | | 30 | 7 | | 31 | 4 | | 32 | 3 | | 33 | 8 | | 34 | 3 | | 35 | 19 | | 36 | 3 | | 37 | 7 | | 38 | 8 | | 39 | 6 | | 40 | 13 | | 41 | 9 | | 42 | 4 | | 43 | 4 | | 44 | 4 | | 45 | 8 | | 46 | 9 | | 47 | 7 | | 48 | 7 | | 49 | 4 |
| |
| 35.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 44 | | diversityRatio | 0.24829931972789115 | | totalSentences | 294 | | uniqueOpeners | 73 | |
| 14.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 233 | | matches | | 0 | "Bright blue eyes scanned the" |
| | ratio | 0.004 | |
| 82.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 80 | | totalSentences | 233 | | matches | | 0 | "She adjusted the collar of" | | 1 | "She pressed her thumb against" | | 2 | "Her breath plumed in the" | | 3 | "She walked toward the centre" | | 4 | "Her boots crushed dry leaves," | | 5 | "She turned in a slow" | | 6 | "She rubbed the small crescent-shaped" | | 7 | "She spun around." | | 8 | "She pulled the pendant from" | | 9 | "It carried the scent of" | | 10 | "She tightened her grip on" | | 11 | "Her knuckles turned white." | | 12 | "She checked her watch." | | 13 | "She forced her shoulders to" | | 14 | "She needed clarity." | | 15 | "She needed to find the" | | 16 | "She took a step forward." | | 17 | "She lifted her foot." | | 18 | "It sounded like her name," | | 19 | "It vibrated in her teeth." |
| | ratio | 0.343 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 216 | | totalSentences | 233 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "Rory stepped past the threshold" | | 2 | "Darkness clung to the clearing," | | 3 | "Petals of violet and burnt" | | 4 | "The air smelled of ozone" | | 5 | "The scent made her stomach" | | 6 | "She adjusted the collar of" | | 7 | "The silver chain bit into" | | 8 | "The Heartstone pendant rested against" | | 9 | "She pressed her thumb against" | | 10 | "Her breath plumed in the" | | 11 | "The silence answered." | | 12 | "The stillness pressed against her" | | 13 | "She walked toward the centre" | | 14 | "Her boots crushed dry leaves," | | 15 | "The sound echoed too loud," | | 16 | "The trunks leaned inward, creating" | | 17 | "She turned in a slow" | | 18 | "The shadows between the trunks" | | 19 | "She rubbed the small crescent-shaped" |
| | ratio | 0.927 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 233 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "Petals of violet and burnt orange opened wide, drinking in moonlight that shouldn't reach the forest floor." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 20 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 1 | | effectiveRatio | 0.2 | |