| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1015 | | totalAiIsmAdverbs | 2 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1015 | | totalAiIsms | 36 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "skipped a beat" | | count | 1 |
| | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | word | "down her spine" | | count | 2 |
| | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | |
| | highlights | | 0 | "loomed" | | 1 | "stark" | | 2 | "charged" | | 3 | "scanning" | | 4 | "pounding" | | 5 | "silence" | | 6 | "oppressive" | | 7 | "weight" | | 8 | "pulsed" | | 9 | "warmth" | | 10 | "chill" | | 11 | "resolved" | | 12 | "skipped a beat" | | 13 | "intensity" | | 14 | "resonated" | | 15 | "resolve" | | 16 | "flickered" | | 17 | "unreadable" | | 18 | "down her spine" | | 19 | "quickened" | | 20 | "cacophony" | | 21 | "pulse" | | 22 | "anticipation" | | 23 | "beacon" | | 24 | "sentinel" | | 25 | "determined" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 80 | | matches | | |
| 89.29% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | 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 | 1012 | | ratio | 0 | | matches | (empty) | |
| 89.29% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 1 | | matches | | 0 | "Just the wind, she told herself, though the night was still." |
| |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 934 | | uniqueNames | 9 | | maxNameDensity | 2.14 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Heartstone | 2 | | Pendant | 2 | | Fae | 1 | | Grove | 1 | | Silence | 1 | | Rory | 20 | | London | 1 | | Isolde | 5 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Grove" | | 3 | "Rory" | | 4 | "Isolde" |
| | places | | 0 | "Heartstone" | | 1 | "Fae" | | 2 | "Silence" | | 3 | "London" |
| | globalScore | 0.429 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1012 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 44.42% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 40.48 | | std | 12.36 | | cv | 0.305 | | sampleLengths | | 0 | 60 | | 1 | 48 | | 2 | 51 | | 3 | 37 | | 4 | 52 | | 5 | 55 | | 6 | 55 | | 7 | 34 | | 8 | 47 | | 9 | 35 | | 10 | 22 | | 11 | 21 | | 12 | 29 | | 13 | 52 | | 14 | 7 | | 15 | 24 | | 16 | 41 | | 17 | 46 | | 18 | 46 | | 19 | 48 | | 20 | 45 | | 21 | 44 | | 22 | 33 | | 23 | 38 | | 24 | 42 |
| |
| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 80 | | matches | | 0 | "was obscured" | | 1 | "was determined" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 167 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 84 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 532 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.02819548872180451 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.009398496240601503 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 98.81% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 12.05 | | std | 4.78 | | cv | 0.397 | | sampleLengths | | 0 | 24 | | 1 | 14 | | 2 | 22 | | 3 | 19 | | 4 | 9 | | 5 | 20 | | 6 | 8 | | 7 | 9 | | 8 | 1 | | 9 | 11 | | 10 | 22 | | 11 | 13 | | 12 | 5 | | 13 | 19 | | 14 | 14 | | 15 | 10 | | 16 | 9 | | 17 | 9 | | 18 | 10 | | 19 | 10 | | 20 | 3 | | 21 | 19 | | 22 | 10 | | 23 | 6 | | 24 | 7 | | 25 | 8 | | 26 | 7 | | 27 | 16 | | 28 | 9 | | 29 | 15 | | 30 | 12 | | 31 | 8 | | 32 | 14 | | 33 | 17 | | 34 | 5 | | 35 | 11 | | 36 | 14 | | 37 | 10 | | 38 | 16 | | 39 | 9 | | 40 | 15 | | 41 | 7 | | 42 | 5 | | 43 | 16 | | 44 | 10 | | 45 | 19 | | 46 | 10 | | 47 | 25 | | 48 | 17 | | 49 | 7 |
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| 45.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.27380952380952384 | | totalSentences | 84 | | uniqueOpeners | 23 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | 0 | "Just the wind, she told" |
| | ratio | 0.013 | |
| 88.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 79 | | matches | | 0 | "She had come to The" | | 1 | "She had been here before," | | 2 | "She turned sharply, her heart" | | 3 | "She took a step forward," | | 4 | "Her voice sounded small, swallowed" | | 5 | "She moved deeper into the" | | 6 | "She had to be careful," | | 7 | "She spun around, searching for" | | 8 | "She took a deep breath," | | 9 | "She was here for a" | | 10 | "She couldn't let fear drive" | | 11 | "She hesitated at the edge," | | 12 | "She took a tentative step" | | 13 | "She knew this woman, had" | | 14 | "They were ancient eyes, filled" | | 15 | "She thought of her life" | | 16 | "she said, her voice firm" | | 17 | "She needed to leave, to" | | 18 | "She retraced her steps, the" | | 19 | "She quickened her pace, the" |
| | ratio | 0.329 | |
| 4.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 79 | | matches | | 0 | "Aurora Carter's breath came in" | | 1 | "The ancient oak standing stones" | | 2 | "She had come to The" | | 3 | "The pendant's faint glow cast" | | 4 | "Rory paused, her bright blue" | | 5 | "She had been here before," | | 6 | "A rustle to her left" | | 7 | "She turned sharply, her heart" | | 8 | "She took a step forward," | | 9 | "Her voice sounded small, swallowed" | | 10 | "Silence answered, thick and oppressive." | | 11 | "Rory swallowed hard, her fingers" | | 12 | "She moved deeper into the" | | 13 | "Time behaved strangely here, slipping" | | 14 | "An hour could be a" | | 15 | "She had to be careful," | | 16 | "A soft giggle floated through" | | 17 | "Rory's skin prickled." | | 18 | "She spun around, searching for" | | 19 | "She took a deep breath," |
| | ratio | 0.911 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 72.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 5 | | matches | | 0 | "The pendant's faint glow cast eerie shadows on the ground, illuminating the wildflowers that bloomed defiantly in the darkness." | | 1 | "Rory swallowed hard, her fingers brushing the crescent-shaped scar on her wrist, a habit from childhood that grounded her." | | 2 | "The woman lifted her head, her eyes meeting Rory's with an intensity that stole her breath." | | 3 | "The trees whispered, their voices a cacophony that drowned out her thoughts." | | 4 | "Rory's breath came in ragged gasps as she forced herself forward, each step a battle against the wrongness that sought to ensnare her." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 4 | | matches | | 0 | "Rory called, her voice trembling despite her efforts to steady it" | | 1 | "Rory whispered, her voice barely more than a breath" | | 2 | "Isolde said, her voice a melody that resonated in Rory's bones" | | 3 | "she said, her voice firm" |
| |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Rory whispered (whisper)" |
| | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.25 | | effectiveRatio | 0.222 | |