| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 728 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "cautiously" | | 1 | "really" | | 2 | "slowly" |
| |
| 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) | |
| 10.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 728 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "chill" | | 1 | "pulsed" | | 2 | "silence" | | 3 | "scanning" | | 4 | "sentinels" | | 5 | "gloom" | | 6 | "echoed" | | 7 | "loomed" | | 8 | "footsteps" | | 9 | "glistening" | | 10 | "stomach" | | 11 | "fractured" |
| |
| 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 | 50 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 50 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 60 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 728 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 620 | | uniqueNames | 9 | | maxNameDensity | 0.81 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Evan" | | discoveredNames | | Aurora | 5 | | Richmond | 2 | | Park | 2 | | Heartstone | 1 | | Pendant | 1 | | Fae | 2 | | Grove | 2 | | London | 1 | | Evan | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Pendant" | | 2 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like wet paper tearing" | | 1 | "carvings that seemed to writhe whenever she looked at them directly out of the corner of her eye" |
| |
| 62.64% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.374 | | wordCount | 728 | | matches | | 0 | "Not behind her, but beside her, uncomfortably close" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 26 | | std | 20.81 | | cv | 0.8 | | sampleLengths | | 0 | 22 | | 1 | 73 | | 2 | 6 | | 3 | 38 | | 4 | 2 | | 5 | 28 | | 6 | 58 | | 7 | 32 | | 8 | 4 | | 9 | 38 | | 10 | 5 | | 11 | 11 | | 12 | 6 | | 13 | 30 | | 14 | 66 | | 15 | 16 | | 16 | 6 | | 17 | 32 | | 18 | 1 | | 19 | 34 | | 20 | 10 | | 21 | 57 | | 22 | 13 | | 23 | 8 | | 24 | 43 | | 25 | 3 | | 26 | 37 | | 27 | 49 |
| |
| 98.25% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 50 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 93 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 60 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 622 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, thumbnail-sized Heartstone" |
| | adverbCount | 22 | | adverbRatio | 0.03536977491961415 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01607717041800643 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 60 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 60 | | mean | 12.13 | | std | 7.86 | | cv | 0.648 | | sampleLengths | | 0 | 22 | | 1 | 9 | | 2 | 8 | | 3 | 13 | | 4 | 8 | | 5 | 18 | | 6 | 17 | | 7 | 4 | | 8 | 2 | | 9 | 9 | | 10 | 14 | | 11 | 7 | | 12 | 8 | | 13 | 2 | | 14 | 16 | | 15 | 6 | | 16 | 6 | | 17 | 12 | | 18 | 4 | | 19 | 4 | | 20 | 19 | | 21 | 3 | | 22 | 16 | | 23 | 7 | | 24 | 25 | | 25 | 2 | | 26 | 2 | | 27 | 5 | | 28 | 11 | | 29 | 8 | | 30 | 14 | | 31 | 5 | | 32 | 11 | | 33 | 6 | | 34 | 10 | | 35 | 20 | | 36 | 24 | | 37 | 16 | | 38 | 26 | | 39 | 16 | | 40 | 6 | | 41 | 10 | | 42 | 11 | | 43 | 11 | | 44 | 1 | | 45 | 22 | | 46 | 12 | | 47 | 10 | | 48 | 19 | | 49 | 21 |
| |
| 95.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.6 | | totalSentences | 60 | | uniqueOpeners | 36 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 47 | | matches | | 0 | "Instead, she stepped cautiously around" | | 1 | "Just trunks of ancient trees" |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 47 | | matches | | 0 | "She pulled the silver chain" | | 1 | "She stopped, letting the silence" | | 2 | "It sounded like wet paper" | | 3 | "She did not run." | | 4 | "She tilted her chin up." | | 5 | "She froze, her boot hovering" | | 6 | "He wore his usual tailored" | | 7 | "His eyes gleamed with a" | | 8 | "He reached out, his fingers" | | 9 | "She whipped the heavy torch" | | 10 | "She didn't wait for him" |
| | ratio | 0.234 | |
| 77.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 47 | | matches | | 0 | "Steel scraped against the damp" | | 1 | "Richmond Park after dark is" | | 2 | "The air tastes of iron" | | 3 | "She pulled the silver chain" | | 4 | "The pendant pulsed twice." | | 5 | "She stopped, letting the silence" | | 6 | "Shadows stretched unnaturally long across" | | 7 | "A twig snapped somewhere to" | | 8 | "The wind sighed through the" | | 9 | "It sounded like wet paper" | | 10 | "Aurora adjusted her grip on" | | 11 | "She did not run." | | 12 | "Nothing was there." | | 13 | "The path behind her had" | | 14 | "She tilted her chin up." | | 15 | "A massive branch jutted into" | | 16 | "Something clung to the underside" | | 17 | "Something pale and gangly, with" | | 18 | "The voice slithered down from" | | 19 | "A wet, clicking laugh echoed" |
| | ratio | 0.766 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "The path behind her had vanished, swallowed by a wall of impenetrable briars and thick, rolling mist that smelled faintly of copper and bruised mint." | | 1 | "The massive monoliths were covered in deep, jagged carvings that seemed to writhe whenever she looked at them directly out of the corner of her eye." | | 2 | "The pendant grew hot against her collarbone, a sharp, feverish burn that bit into her flesh." | | 3 | "Aurora lunged past the ancient stone boundary, diving straight into the heart of the Fae Grove as time fractured violently around her, the air turning ice-cold …" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0 | | effectiveRatio | 0 | |