| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 1 | | adverbTags | | 0 | "her hand felt more [more]" |
| | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |
| 95.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1112 | | totalAiIsmAdverbs | 1 | | 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) | |
| 55.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1112 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "cascading" | | 2 | "scanning" | | 3 | "silence" | | 4 | "chill" | | 5 | "comforting" | | 6 | "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 | 1 | | narrationSentences | 92 | | matches | | |
| 65.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1112 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 7 | | matches | | 0 | "Do not step on the roots, Nyx whispered." | | 1 | "I can see the roots, Nyx, Aurora said, keeping her voice low." | | 2 | "Time is a river that flows in many directions here, Isolde said." | | 3 | "The Veil is thin here, they murmured." | | 4 | "We are looking for a way through, Aurora said." | | 5 | "I remember the fall, Nyx said." | | 6 | "Show us, Aurora said to Isolde." |
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| 73.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 68 | | wordCount | 1108 | | uniqueNames | 23 | | maxNameDensity | 1.53 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Heartstone | 3 | | Pendant | 1 | | Hel | 2 | | Fae-Forged | 1 | | Blade | 1 | | Isolde | 7 | | Varga | 1 | | Half-Fae | 1 | | Nyx | 8 | | Shade | 2 | | Aurora | 17 | | Park | 1 | | Veil | 3 | | London | 2 | | Fae | 7 | | Fae-touched | 1 | | Cardiff | 1 | | Dymas | 1 | | Aldric | 2 | | Seer | 1 | | Gluttony | 1 | | You | 3 |
| | persons | | 0 | "Carter" | | 1 | "Isolde" | | 2 | "Varga" | | 3 | "Nyx" | | 4 | "Shade" | | 5 | "Aurora" | | 6 | "Aldric" | | 7 | "Seer" | | 8 | "You" |
| | places | | 0 | "Heartstone" | | 1 | "Hel" | | 2 | "Park" | | 3 | "London" | | 4 | "Fae" | | 5 | "Cardiff" | | 6 | "Dymas" |
| | globalScore | 0.733 | | windowScore | 0.833 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like dry leaves skittering on pave" | | 1 | "felt like a key waiting for a lock" |
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| 20.14% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.799 | | wordCount | 1112 | | matches | | 0 | "not a shift in temperature, but in weight, as if the atmosphere had thickened into water" | | 1 | "not found by walking, but by unmaking" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 52.95 | | std | 35.37 | | cv | 0.668 | | sampleLengths | | 0 | 108 | | 1 | 89 | | 2 | 32 | | 3 | 45 | | 4 | 52 | | 5 | 79 | | 6 | 27 | | 7 | 29 | | 8 | 34 | | 9 | 87 | | 10 | 17 | | 11 | 29 | | 12 | 109 | | 13 | 22 | | 14 | 6 | | 15 | 18 | | 16 | 53 | | 17 | 59 | | 18 | 11 | | 19 | 73 | | 20 | 133 |
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| 97.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 92 | | matches | | 0 | "was designed" | | 1 | "was frozen" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 196 | | matches | | 0 | "were looking" | | 1 | "was ticking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 92 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 835 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.025149700598802394 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009580838323353293 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 12.09 | | std | 8.04 | | cv | 0.666 | | sampleLengths | | 0 | 14 | | 1 | 18 | | 2 | 23 | | 3 | 16 | | 4 | 16 | | 5 | 21 | | 6 | 10 | | 7 | 27 | | 8 | 17 | | 9 | 13 | | 10 | 22 | | 11 | 8 | | 12 | 17 | | 13 | 7 | | 14 | 12 | | 15 | 26 | | 16 | 5 | | 17 | 2 | | 18 | 4 | | 19 | 23 | | 20 | 12 | | 21 | 13 | | 22 | 2 | | 23 | 30 | | 24 | 13 | | 25 | 20 | | 26 | 14 | | 27 | 6 | | 28 | 2 | | 29 | 4 | | 30 | 15 | | 31 | 10 | | 32 | 5 | | 33 | 5 | | 34 | 9 | | 35 | 16 | | 36 | 7 | | 37 | 5 | | 38 | 3 | | 39 | 3 | | 40 | 8 | | 41 | 13 | | 42 | 22 | | 43 | 13 | | 44 | 31 | | 45 | 9 | | 46 | 5 | | 47 | 3 | | 48 | 10 | | 49 | 9 |
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| 51.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.33695652173913043 | | totalSentences | 92 | | uniqueOpeners | 31 | |
| 38.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 86 | | matches | | 0 | "Instead, the Fae-Forged Blade at" |
| | ratio | 0.012 | |
| 71.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 86 | | matches | | 0 | "It was not a shift" | | 1 | "She reached into her coat" | | 2 | "It lay dormant against her" | | 3 | "Their voice sounded like dry" | | 4 | "I can see the roots," | | 5 | "She adjusted the strap of" | | 6 | "Her pale lavender eyes held" | | 7 | "You think you are walking" | | 8 | "She had read the reports" | | 9 | "It was a perpetual twilight," | | 10 | "She checked her watch." | | 11 | "I can taste the magic." | | 12 | "It is sweet." | | 13 | "She held it out, watching" | | 14 | "It was designed to cut" | | 15 | "We are looking for a" | | 16 | "You seek the door that" | | 17 | "She thought of her father" | | 18 | "It had only impressions." | | 19 | "She looked down at the" |
| | ratio | 0.372 | |
| 47.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 86 | | matches | | 0 | "The air changed the moment" | | 1 | "It was not a shift" | | 2 | "Aurora Carter felt the pressure" | | 3 | "She reached into her coat" | | 4 | "It lay dormant against her" | | 5 | "The Half-Fae seer moved through" | | 6 | "Aurora glanced at Nyx, who" | | 7 | "The Shade’s form was a" | | 8 | "Their voice sounded like dry" | | 9 | "The ground remembers where you" | | 10 | "I can see the roots," | | 11 | "She adjusted the strap of" | | 12 | "This is just a park." | | 13 | "Isolde stopped and turned." | | 14 | "Her pale lavender eyes held" | | 15 | "Time is a river that" | | 16 | "You think you are walking" | | 17 | "She had read the reports" | | 18 | "The sky above was not" | | 19 | "It was a perpetual twilight," |
| | ratio | 0.826 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 86 | | matches | | 0 | "If this were Hel, if" | | 1 | "To stand here with a" |
| | ratio | 0.023 | |
| 44.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 7 | | matches | | 0 | "Instead, the Fae-Forged Blade at her hip hummed, a low vibration that traveled up her arm and settled in her teeth." | | 1 | "She adjusted the strap of her messenger bag, feeling the weight of the delivery box inside, a mundane anchor in a world that felt increasingly untethered." | | 2 | "It was a perpetual twilight, a bruised purple bleeding into gold, where wildflowers bloomed in clusters that defied the season." | | 3 | "Roses with petals of obsidian grew alongside daisies that glowed with their own bioluminescence." | | 4 | "Nyx extended a hand, their fingers dissolving into smoke before reforming." | | 5 | "She focused on the cold weight of the blade, the steady rhythm of her own heartbeat, and the faint, comforting pulse of the Heartstone that remained silent, tel…" | | 6 | "The trees closed in around them, their branches weaving together to form a canopy that blocked out the sky, sealing them in a world where the rules of physics w…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |