| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1471 | | 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) | |
| 72.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1471 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "warmth" | | 1 | "traced" | | 2 | "whisper" | | 3 | "gloom" | | 4 | "crystal" | | 5 | "trembled" | | 6 | "weight" |
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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 | 0 | | narrationSentences | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 103 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1470 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1038 | | uniqueNames | 11 | | maxNameDensity | 2.02 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 21 | | Hel | 2 | | Seer | 6 | | Fae-Forged | 1 | | Blade | 1 | | Nyx | 12 | | Isolde | 8 | | Varga | 1 | | Fae | 3 | | Cardiff | 1 | | Heartstone | 1 |
| | persons | | 0 | "Rory" | | 1 | "Seer" | | 2 | "Blade" | | 3 | "Nyx" | | 4 | "Isolde" |
| | places | | | globalScore | 0.488 | | windowScore | 0.333 | |
| 79.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like wind worrying a cracked windo" | | 1 | "felt like ten minutes through flowers a" |
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| 63.95% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.361 | | wordCount | 1470 | | matches | | 0 | "not the amber heat of a Hel portal, but a soft, green-gold hum, like sunlight remembered" | | 1 | "not a whisper like Nyx’s, but close" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 22.97 | | std | 20.03 | | cv | 0.872 | | sampleLengths | | 0 | 70 | | 1 | 8 | | 2 | 34 | | 3 | 11 | | 4 | 33 | | 5 | 8 | | 6 | 10 | | 7 | 7 | | 8 | 44 | | 9 | 7 | | 10 | 6 | | 11 | 94 | | 12 | 3 | | 13 | 12 | | 14 | 14 | | 15 | 67 | | 16 | 22 | | 17 | 16 | | 18 | 9 | | 19 | 42 | | 20 | 30 | | 21 | 16 | | 22 | 12 | | 23 | 72 | | 24 | 10 | | 25 | 13 | | 26 | 20 | | 27 | 4 | | 28 | 70 | | 29 | 46 | | 30 | 4 | | 31 | 26 | | 32 | 20 | | 33 | 18 | | 34 | 6 | | 35 | 16 | | 36 | 7 | | 37 | 31 | | 38 | 20 | | 39 | 28 | | 40 | 11 | | 41 | 7 | | 42 | 14 | | 43 | 16 | | 44 | 3 | | 45 | 7 | | 46 | 6 | | 47 | 5 | | 48 | 5 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 169 | | matches | (empty) | |
| 79.37% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 135 | | ratio | 0.022 | | matches | | 0 | "One step, ice crunched under Rory's heel; the next, her boot sank into moss so green it hurt the eyes." | | 1 | "“Isolde gave me this to cut wards.” She turned the blade; the edge caught no reflection." | | 2 | "Wildflowers brushed Rory's knees, releasing scents that shifted as she walked—first honey, then woodsmoke, then something sharp and coppery that made her think of the scar on her wrist." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1046 | | adjectiveStacks | 2 | | stackExamples | | 0 | "slender leaf-shaped thing" | | 1 | "lay dull against her" |
| | adverbCount | 21 | | adverbRatio | 0.020076481835564052 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0009560229445506692 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 10.89 | | std | 7.05 | | cv | 0.648 | | sampleLengths | | 0 | 7 | | 1 | 25 | | 2 | 9 | | 3 | 19 | | 4 | 10 | | 5 | 8 | | 6 | 14 | | 7 | 7 | | 8 | 13 | | 9 | 11 | | 10 | 8 | | 11 | 1 | | 12 | 9 | | 13 | 15 | | 14 | 8 | | 15 | 10 | | 16 | 7 | | 17 | 16 | | 18 | 28 | | 19 | 7 | | 20 | 6 | | 21 | 3 | | 22 | 20 | | 23 | 22 | | 24 | 3 | | 25 | 19 | | 26 | 15 | | 27 | 3 | | 28 | 9 | | 29 | 3 | | 30 | 12 | | 31 | 14 | | 32 | 7 | | 33 | 3 | | 34 | 2 | | 35 | 7 | | 36 | 7 | | 37 | 14 | | 38 | 8 | | 39 | 3 | | 40 | 9 | | 41 | 7 | | 42 | 22 | | 43 | 16 | | 44 | 9 | | 45 | 11 | | 46 | 22 | | 47 | 4 | | 48 | 5 | | 49 | 16 |
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| 57.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.362962962962963 | | totalSentences | 135 | | uniqueOpeners | 49 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | 0 | "Only frost and the brown" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 95 | | matches | | 0 | "She stopped at the ring" | | 1 | "Their eyes held violet, deep" | | 2 | "She stepped forward, boots leaving" | | 3 | "They crossed the line of" | | 4 | "She twisted back." | | 5 | "They had left the path" | | 6 | "She had walked for what" | | 7 | "She couldn't remember which way" | | 8 | "She held it up." | | 9 | "She turned the blade; the" | | 10 | "They moved deeper." | | 11 | "She pushed a strand of" | | 12 | "She wore a gown the" | | 13 | "Her voice held the hush" | | 14 | "She could, however, lead a" | | 15 | "Her bright blue eyes narrowed." | | 16 | "She held the blade up," | | 17 | "She pulled the phone out" | | 18 | "She had walked for minutes." | | 19 | "She shoved the phone back," |
| | ratio | 0.232 | |
| 23.16% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 95 | | matches | | 0 | "She stopped at the ring" | | 1 | "The weak winter sun did" | | 2 | "A small crescent scar on" | | 3 | "The crimson gem lay dull" | | 4 | "Nyx peeled out of her" | | 5 | "Their eyes held violet, deep" | | 6 | "The voice that came from" | | 7 | "Rory squinted at the air" | | 8 | "The hair rose on her" | | 9 | "Nyx’s violet eyes shifted to" | | 10 | "She stepped forward, boots leaving" | | 11 | "They crossed the line of" | | 12 | "The frost stopped." | | 13 | "Wildflowers pushed up through it," | | 14 | "The cold vanished." | | 15 | "Warmth wrapped her, not the" | | 16 | "She twisted back." | | 17 | "Nyx stood inside the ring," | | 18 | "Nyx’s shadow rippled across the" | | 19 | "Rory pulled her phone from" |
| | ratio | 0.874 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 4 | | matches | | 0 | "Nyx flowed to her side, their shadow falling over the moss without disturbing a single petal." | | 1 | "The moonsilver dagger was always cold, a slender leaf-shaped thing that drank the green-gold light and gave back a faint luminescent glow." | | 2 | "Wildflowers brushed Rory's knees, releasing scents that shifted as she walked—first honey, then woodsmoke, then something sharp and coppery that made her think …" | | 3 | "The clearing spread out in a wide circle ringed by more standing stones, these smaller, carved with spirals that made Rory's eyes water if she looked too long." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 2 | | matches | | 0 | "She stepped, boots leaving prints in the frost" | | 1 | "She shoved, heart hammering against her ribs" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |