| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 32 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 97 | | tagDensity | 0.33 | | leniency | 0.66 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1372 | | 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) | |
| 41.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1372 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "sense of" | | 3 | "otherworldly" | | 4 | "pulsed" | | 5 | "scanning" | | 6 | "throbbed" | | 7 | "warmth" | | 8 | "pulse" | | 9 | "stark" | | 10 | "cascading" | | 11 | "structure" | | 12 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 127 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 127 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 192 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1372 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 77 | | wordCount | 966 | | uniqueNames | 11 | | maxNameDensity | 2.8 | | worstName | "Aurora" | | maxWindowNameDensity | 5 | | worstWindowName | "Aurora" | | discoveredNames | | London | 2 | | Shade | 1 | | Nyx | 14 | | Aurora | 27 | | Heartstone | 3 | | Pendant | 1 | | Fae-Forged | 1 | | Blade | 1 | | Half-Fae | 1 | | Isolde | 23 | | Fae | 3 |
| | persons | | 0 | "Shade" | | 1 | "Nyx" | | 2 | "Aurora" | | 3 | "Heartstone" | | 4 | "Blade" | | 5 | "Half-Fae" | | 6 | "Isolde" | | 7 | "Fae" |
| | places | | | globalScore | 0.102 | | windowScore | 0 | |
| 38.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a palace made of sugar and bo" | | 1 | "sounded like a scream held in the throat" | | 2 | "sounded like grinding stones" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.729 | | wordCount | 1372 | | matches | | 0 | "Not the heat of the sun, but the heat of digestion" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 192 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 100 | | mean | 13.72 | | std | 15.73 | | cv | 1.146 | | sampleLengths | | 0 | 9 | | 1 | 63 | | 2 | 60 | | 3 | 11 | | 4 | 59 | | 5 | 43 | | 6 | 34 | | 7 | 33 | | 8 | 22 | | 9 | 56 | | 10 | 6 | | 11 | 12 | | 12 | 25 | | 13 | 8 | | 14 | 18 | | 15 | 53 | | 16 | 37 | | 17 | 22 | | 18 | 19 | | 19 | 16 | | 20 | 15 | | 21 | 62 | | 22 | 3 | | 23 | 5 | | 24 | 42 | | 25 | 8 | | 26 | 16 | | 27 | 48 | | 28 | 13 | | 29 | 5 | | 30 | 11 | | 31 | 4 | | 32 | 14 | | 33 | 6 | | 34 | 21 | | 35 | 29 | | 36 | 6 | | 37 | 4 | | 38 | 8 | | 39 | 40 | | 40 | 7 | | 41 | 2 | | 42 | 2 | | 43 | 5 | | 44 | 5 | | 45 | 7 | | 46 | 15 | | 47 | 38 | | 48 | 10 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 179 | | matches | | 0 | "was shifting" | | 1 | "were sliding" | | 2 | "were undulating" | | 3 | "was shifting" | | 4 | "was breaking" | | 5 | "was coming" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 192 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 969 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 12 | | adverbRatio | 0.01238390092879257 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0020639834881320948 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 192 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 192 | | mean | 7.15 | | std | 4.87 | | cv | 0.681 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 17 | | 3 | 11 | | 4 | 19 | | 5 | 18 | | 6 | 13 | | 7 | 18 | | 8 | 11 | | 9 | 4 | | 10 | 7 | | 11 | 3 | | 12 | 7 | | 13 | 11 | | 14 | 23 | | 15 | 15 | | 16 | 11 | | 17 | 18 | | 18 | 14 | | 19 | 5 | | 20 | 15 | | 21 | 14 | | 22 | 6 | | 23 | 16 | | 24 | 11 | | 25 | 19 | | 26 | 3 | | 27 | 3 | | 28 | 16 | | 29 | 17 | | 30 | 20 | | 31 | 6 | | 32 | 12 | | 33 | 14 | | 34 | 11 | | 35 | 8 | | 36 | 13 | | 37 | 5 | | 38 | 10 | | 39 | 12 | | 40 | 16 | | 41 | 15 | | 42 | 20 | | 43 | 17 | | 44 | 11 | | 45 | 11 | | 46 | 16 | | 47 | 3 | | 48 | 14 | | 49 | 2 |
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| 41.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.2916666666666667 | | totalSentences | 192 | | uniqueOpeners | 56 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 111 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 111 | | matches | | 0 | "It burned with a warm," | | 1 | "Her blue eyes narrowed against" | | 2 | "She pressed a hand to" | | 3 | "She adjusted the strap of" | | 4 | "She wore no shoes, her" | | 5 | "She flexed her wrist, the" | | 6 | "It looked like a palace" | | 7 | "It sounded like a scream" | | 8 | "She tightened her grip on" | | 9 | "She did not look back." | | 10 | "They reached a clearing." | | 11 | "She stepped forward, her silver" | | 12 | "It was warm." | | 13 | "She felt the Heartstone burning" | | 14 | "Her fingers were long, pale" | | 15 | "She stepped closer to the" | | 16 | "Her shadow stretched out long" | | 17 | "Her teeth were too sharp." | | 18 | "He held a platter with" | | 19 | "His voice sounded like grinding" |
| | ratio | 0.252 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 111 | | matches | | 0 | "The air tasted of roasted" | | 1 | "Aurora stepped forward, her boots" | | 2 | "The ground hummed against her" | | 3 | "It burned with a warm," | | 4 | "Nyx hovered at her left" | | 5 | "Violet light pulsed within their" | | 6 | "The shadows here were heavy," | | 7 | "The sound drifted around Aurora" | | 8 | "Aurora didn't turn." | | 9 | "Her blue eyes narrowed against" | | 10 | "The Heartstone Pendant swung against" | | 11 | "The deep crimson gem had" | | 12 | "She pressed a hand to" | | 13 | "She adjusted the strap of" | | 14 | "The metal felt cold against" | | 15 | "The Half-Fae glided beside them," | | 16 | "She wore no shoes, her" | | 17 | "She flexed her wrist, the" | | 18 | "Isolde lifted a hand, palm" | | 19 | "Aurora leaned forward." |
| | ratio | 0.946 | |
| 45.05% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 111 | | matches | | 0 | "Even here, in the artificial" |
| | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "Aurora stepped forward, her boots crunching on gravel that shifted under her weight like crushed garnets." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 32 | | uselessAdditionCount | 2 | | matches | | 0 | "Nyx shifted, their form flickering as they solidified fully to walk" | | 1 | "Isolde turned, her lavender eyes glowing" |
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| 98.45% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 5 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Aurora murmured (murmur)" | | 2 | "Aurora muttered (mutter)" | | 3 | "Isolde warned (warn)" | | 4 | "Nyx whispered (whisper)" |
| | dialogueSentences | 97 | | tagDensity | 0.134 | | leniency | 0.268 | | rawRatio | 0.385 | | effectiveRatio | 0.103 | |