| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 87.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1176 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "truly" | | 2 | "perfectly" |
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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) | |
| 10.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1176 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "familiar" | | 1 | "chill" | | 2 | "warmth" | | 3 | "velvet" | | 4 | "flickered" | | 5 | "pulsed" | | 6 | "rhythmic" | | 7 | "intensity" | | 8 | "shimmered" | | 9 | "fleeting" | | 10 | "whisper" | | 11 | "weight" | | 12 | "resonance" | | 13 | "traced" | | 14 | "silence" | | 15 | "determined" | | 16 | "chilled" |
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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 | 81 | | matches | (empty) | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1173 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 6 | | matches | | 0 | "This is the Grove, Rory whispered, her voice sounding muffled, as if the very air were thicker, honey-soaked and sweet." | | 1 | "The hunger of the earth is rarely satisfied, Isolde said, her voice a melodic, haunting chime." | | 2 | "I was told you were the one to speak to, Rory said, forcing her voice to remain steady." | | 3 | "To ask of the Veil is to ask the water why it flows to the sea, she replied, tilting her head." | | 4 | "That is Dymas, Nyx murmured, their voice a whisper of dry leaves." | | 5 | "If the gate is open, we close it with what we have, Rory said." |
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| 81.80% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 71 | | wordCount | 1173 | | uniqueNames | 26 | | maxNameDensity | 1.36 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | London | 3 | | Rory | 16 | | November | 1 | | Nyx | 5 | | Shade | 2 | | Grove | 5 | | Heartstone | 3 | | Pendant | 1 | | Fae-touched | 1 | | Seer | 2 | | Isolde | 6 | | Fae-forged | 1 | | Veil | 4 | | Dymas | 2 | | Gluttony | 2 | | Belphegor | 1 | | Key | 1 | | Fae | 3 | | Cardiff | 1 | | Aurora | 1 | | Carter | 1 | | Dymasian | 1 | | Prince | 2 | | You | 4 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Shade" | | 3 | "Heartstone" | | 4 | "Pendant" | | 5 | "Isolde" | | 6 | "Veil" | | 7 | "Belphegor" | | 8 | "Aurora" | | 9 | "Carter" | | 10 | "Prince" | | 11 | "You" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Grove" | | 4 | "Fae-touched" | | 5 | "Gluttony" | | 6 | "Fae" | | 7 | "Cardiff" |
| | globalScore | 0.818 | | windowScore | 1 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like velvet under her soles" | | 1 | "trees that seemed to be watching them" | | 2 | "quite shake" | | 3 | "looked like a ripple in a mirror that ref" |
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| 29.50% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.705 | | wordCount | 1173 | | matches | | 0 | "not into sodden grass, but into a carpet of vibrant, impossible moss" | | 1 | "not a hole, but a shimmering, jagged distortion in the fabric of the air, li" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 77.36% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 46.92 | | std | 19.74 | | cv | 0.421 | | sampleLengths | | 0 | 56 | | 1 | 60 | | 2 | 20 | | 3 | 41 | | 4 | 59 | | 5 | 65 | | 6 | 69 | | 7 | 30 | | 8 | 42 | | 9 | 47 | | 10 | 93 | | 11 | 24 | | 12 | 52 | | 13 | 24 | | 14 | 9 | | 15 | 53 | | 16 | 81 | | 17 | 22 | | 18 | 46 | | 19 | 39 | | 20 | 51 | | 21 | 30 | | 22 | 37 | | 23 | 69 | | 24 | 54 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 190 | | matches | | 0 | "was waiting" | | 1 | "were vibrating" |
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| 37.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 81 | | ratio | 0.037 | | matches | | 0 | "The Heartstone Pendant hidden beneath Rory’s jacket pulsed against her collarbone—a frantic, rhythmic heat." | | 1 | "Where the canopy of the oak trees merged, she saw it—not a hole, but a shimmering, jagged distortion in the fabric of the air, like oil on water." | | 2 | "Tell me, girl—does the lawyer prefer the truth, or the victory?" |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1186 | | adjectiveStacks | 3 | | stackExamples | | 0 | "twisted, silver-barked trees" | | 1 | "small crescent-shaped scar" | | 2 | "pure, ink-black void" |
| | adverbCount | 30 | | adverbRatio | 0.025295109612141653 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007588532883642495 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 14.48 | | std | 8.12 | | cv | 0.561 | | sampleLengths | | 0 | 32 | | 1 | 24 | | 2 | 24 | | 3 | 4 | | 4 | 19 | | 5 | 13 | | 6 | 20 | | 7 | 3 | | 8 | 17 | | 9 | 21 | | 10 | 14 | | 11 | 23 | | 12 | 22 | | 13 | 16 | | 14 | 3 | | 15 | 15 | | 16 | 31 | | 17 | 16 | | 18 | 27 | | 19 | 11 | | 20 | 15 | | 21 | 10 | | 22 | 20 | | 23 | 18 | | 24 | 18 | | 25 | 3 | | 26 | 3 | | 27 | 11 | | 28 | 21 | | 29 | 13 | | 30 | 2 | | 31 | 7 | | 32 | 28 | | 33 | 12 | | 34 | 26 | | 35 | 20 | | 36 | 20 | | 37 | 4 | | 38 | 12 | | 39 | 20 | | 40 | 6 | | 41 | 14 | | 42 | 9 | | 43 | 15 | | 44 | 3 | | 45 | 2 | | 46 | 4 | | 47 | 17 | | 48 | 8 | | 49 | 8 |
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| 58.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4074074074074074 | | totalSentences | 81 | | uniqueOpeners | 33 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | 0 | "Once you cross into the" |
| | ratio | 0.013 | |
| 98.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 79 | | matches | | 0 | "She paused, her boots sinking" | | 1 | "They drifted forward, their feet" | | 2 | "They existed in the negative" | | 3 | "She reached up, her thumb" | | 4 | "She didn’t know what pulled" | | 5 | "They moved toward the center" | | 6 | "Her waist-length silver hair caught" | | 7 | "She turned, her pale lavender" | | 8 | "You carry the heat of" | | 9 | "I was told you were" | | 10 | "It looked like a ripple" | | 11 | "She caught a glimpse of" | | 12 | "You possess the Key, yet" | | 13 | "She looked at the blade," | | 14 | "She felt a strange, terrifying" | | 15 | "It does not mend the" | | 16 | "You are an ingredient." | | 17 | "She looked at Nyx, who" | | 18 | "She had fled Cardiff to" | | 19 | "She wouldn't spend this life" |
| | ratio | 0.304 | |
| 86.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 79 | | matches | | 0 | "The air in Richmond Park" | | 1 | "The biting chill of a" | | 2 | "She paused, her boots sinking" | | 3 | "The Shade’s humanoid silhouette blurred" | | 4 | "Nyx’s violet eyes, usually dim" | | 5 | "This is the Grove, Rory" | | 6 | "Nyx didn’t answer." | | 7 | "They drifted forward, their feet" | | 8 | "They existed in the negative" | | 9 | "The Heartstone Pendant hidden beneath" | | 10 | "She reached up, her thumb" | | 11 | "She didn’t know what pulled" | | 12 | "They moved toward the center" | | 13 | "Isolde was waiting." | | 14 | "The Seer stood perfectly still" | | 15 | "Her waist-length silver hair caught" | | 16 | "The hunger of the earth" | | 17 | "She turned, her pale lavender" | | 18 | "You carry the heat of" | | 19 | "Rory reached instinctively for the" |
| | ratio | 0.747 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 79 | | matches | | 0 | "To ask of the Veil" | | 1 | "If I take this blade" | | 2 | "If the gate is open," | | 3 | "Now, step aside." |
| | ratio | 0.051 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 13 | | matches | | 0 | "She paused, her boots sinking not into sodden grass, but into a carpet of vibrant, impossible moss that felt like velvet under her soles." | | 1 | "The Shade’s humanoid silhouette blurred at the edges, trailing wisps of smoke that vanished before they hit the ground." | | 2 | "This is the Grove, Rory whispered, her voice sounding muffled, as if the very air were thicker, honey-soaked and sweet." | | 3 | "They existed in the negative space between the vibrant wildflowers and the twisted, silver-barked trees that seemed to be watching them." | | 4 | "Her waist-length silver hair caught the amber glow of a sun that didn't exist, and she didn't turn as they approached, though her presence was as unavoidable as…" | | 5 | "She turned, her pale lavender eyes tracking Rory with a precision that made the younger woman feel as though she were being read like a legal brief." | | 6 | "The cool-headedness that had gotten her through law school lectures and late-night deliveries in London flickered, but held." | | 7 | "She caught a glimpse of hanging vineyards and a sprawl of orchards that stretched into a horizon burning with excess." | | 8 | "The pendant felt as if it were vibrating, a sympathetic resonance with the rift above." | | 9 | "Isolde traced the air with an elegant finger, leaving a trail of sparkling dust that hung suspended." | | 10 | "She felt a strange, terrifying shift in her own perspective, a widening of her senses that allowed her to see the fine, shimmering threads of the Veil stitching…" | | 11 | "She looked at Nyx, who stood as a silhouette of pure, ink-black void against the vibrant Fae foliage." | | 12 | "She had fled Cardiff to escape a man who defined her life by his own cruelty, and she had spent months in London running from the shadows of her past." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |