| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1835 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "lightly" | | 1 | "slowly" | | 2 | "perfectly" | | 3 | "quickly" | | 4 | "very" |
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| 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) | |
| 61.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1835 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "weight" | | 1 | "scanned" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "mechanical" | | 5 | "footsteps" | | 6 | "measured" | | 7 | "silence" | | 8 | "flickered" | | 9 | "throbbed" | | 10 | "pulse" |
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| 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 | 261 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 261 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 265 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1835 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 1810 | | uniqueNames | 11 | | maxNameDensity | 1.77 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Richmond | 2 | | Fae | 1 | | Grove | 8 | | Rory | 32 | | Isolde | 3 | | Park | 1 | | Heartstone | 6 | | Hel | 1 | | Eva | 8 | | Silas | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Isolde" | | 3 | "Heartstone" | | 4 | "Eva" | | 5 | "Silas" |
| | places | | 0 | "Richmond" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "Park" | | 4 | "Hel" |
| | globalScore | 0.616 | | windowScore | 0.5 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 148 | | glossingSentenceCount | 4 | | matches | | 0 | "as though listening" | | 1 | "looked like old glass" | | 2 | "seemed taller brushing her knees" | | 3 | "looked like a tiny white crescent" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1835 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 265 | | matches | | 0 | "knew that voice" | | 1 | "understood that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 179 | | mean | 10.25 | | std | 11.76 | | cv | 1.147 | | sampleLengths | | 0 | 9 | | 1 | 44 | | 2 | 7 | | 3 | 49 | | 4 | 15 | | 5 | 8 | | 6 | 40 | | 7 | 35 | | 8 | 6 | | 9 | 6 | | 10 | 56 | | 11 | 20 | | 12 | 9 | | 13 | 20 | | 14 | 12 | | 15 | 12 | | 16 | 40 | | 17 | 12 | | 18 | 9 | | 19 | 4 | | 20 | 8 | | 21 | 32 | | 22 | 3 | | 23 | 8 | | 24 | 5 | | 25 | 7 | | 26 | 2 | | 27 | 29 | | 28 | 2 | | 29 | 2 | | 30 | 5 | | 31 | 41 | | 32 | 8 | | 33 | 40 | | 34 | 3 | | 35 | 17 | | 36 | 7 | | 37 | 3 | | 38 | 6 | | 39 | 10 | | 40 | 3 | | 41 | 29 | | 42 | 1 | | 43 | 9 | | 44 | 6 | | 45 | 1 | | 46 | 5 | | 47 | 46 | | 48 | 4 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 261 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 304 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 265 | | ratio | 0.008 | | matches | | 0 | "She could leave, reach the park, find a cab, go to Silas’s bar—" | | 1 | "The thing’s features were not hidden in shadow; there were simply none." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1818 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 70 | | adverbRatio | 0.03850385038503851 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.0121012101210121 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 265 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 265 | | mean | 6.92 | | std | 4.84 | | cv | 0.699 | | sampleLengths | | 0 | 9 | | 1 | 26 | | 2 | 18 | | 3 | 7 | | 4 | 5 | | 5 | 8 | | 6 | 23 | | 7 | 7 | | 8 | 6 | | 9 | 7 | | 10 | 8 | | 11 | 8 | | 12 | 11 | | 13 | 4 | | 14 | 16 | | 15 | 9 | | 16 | 16 | | 17 | 9 | | 18 | 10 | | 19 | 6 | | 20 | 6 | | 21 | 12 | | 22 | 15 | | 23 | 12 | | 24 | 17 | | 25 | 20 | | 26 | 9 | | 27 | 5 | | 28 | 3 | | 29 | 12 | | 30 | 2 | | 31 | 2 | | 32 | 8 | | 33 | 5 | | 34 | 2 | | 35 | 2 | | 36 | 3 | | 37 | 26 | | 38 | 14 | | 39 | 7 | | 40 | 5 | | 41 | 9 | | 42 | 4 | | 43 | 8 | | 44 | 16 | | 45 | 5 | | 46 | 11 | | 47 | 3 | | 48 | 8 | | 49 | 5 |
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| 39.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 28 | | diversityRatio | 0.2803030303030303 | | totalSentences | 264 | | uniqueOpeners | 74 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 215 | | matches | | 0 | "Just those words, followed by" | | 1 | "Then she had remembered Eva’s" | | 2 | "Somewhere behind her, a twig" | | 3 | "Then, beneath it, another." | | 4 | "Immediately, it rang again." | | 5 | "Then the beam passed over" | | 6 | "Only its head." |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 215 | | matches | | 0 | "She knew the time because" | | 1 | "It remembered when time belonged" | | 2 | "She stepped between two standing" | | 3 | "They leaned beneath the oak" | | 4 | "Their petals shone with dew," | | 5 | "She tightened her fingers around" | | 6 | "It was empty except for" | | 7 | "Its silver chain pressed lightly" | | 8 | "She had brought it because" | | 9 | "She pulled out her phone." | | 10 | "Her voice carried farther than" | | 11 | "It was warm." | | 12 | "She closed her hand around" | | 13 | "She scanned them slowly, forcing" | | 14 | "Her heart beat once, hard." | | 15 | "She set her bag on" | | 16 | "Its beam cut through the" | | 17 | "She swept it left." | | 18 | "It ran from the far" | | 19 | "She had not seen it" |
| | ratio | 0.247 | |
| 64.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 170 | | totalSentences | 215 | | matches | | 0 | "Aurora Carter crossed the boundary" | | 1 | "She knew the time because" | | 2 | "The screen had shown 11:46" | | 3 | "That was not unusual here." | | 4 | "The Fae Grove had always" | | 5 | "The first time Rory had" | | 6 | "The second time, her watch" | | 7 | "Isolde had laughed when Rory" | | 8 | "The Grove was old, she" | | 9 | "It remembered when time belonged" | | 10 | "Tonight, Rory had not come" | | 11 | "She stepped between two standing" | | 12 | "The air changed immediately." | | 13 | "Wildflowers crowded the clearing in" | | 14 | "They leaned beneath the oak" | | 15 | "Their petals shone with dew," | | 16 | "The Grove should have been" | | 17 | "That was why she had" | | 18 | "She tightened her fingers around" | | 19 | "It was empty except for" |
| | ratio | 0.791 | |
| 93.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 215 | | matches | | 0 | "IF YOU TRUST ME, TAKE" | | 1 | "If it starts glowing, leave." | | 2 | "Now the clearing held its" | | 3 | "To a gap she was" |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 1 | | matches | | 0 | "The sound was thin and old-fashioned, a mechanical trill that did not belong to the device in her hand." |
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| 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 | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "Eva’s voice whispered (whisper)" |
| | dialogueSentences | 10 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |