| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 76.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1517 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "lightly" | | 1 | "sharply" | | 2 | "slightly" | | 3 | "quickly" | | 4 | "carefully" |
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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) | |
| 14.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1517 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "velvet" | | 1 | "pulsed" | | 2 | "marble" | | 3 | "familiar" | | 4 | "sentinels" | | 5 | "fractured" | | 6 | "measured" | | 7 | "pulse" | | 8 | "footsteps" | | 9 | "navigate" | | 10 | "weight" | | 11 | "rhythmic" | | 12 | "scanned" | | 13 | "shattered" | | 14 | "complex" | | 15 | "scanning" | | 16 | "could feel" | | 17 | "tracing" | | 18 | "whisper" |
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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 | 161 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 161 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1517 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 6 | | matches | | 0 | "You feel it too, Isolde said, not turning." | | 1 | "Less talking, more looking, Nyx murmured." | | 2 | "Hel-touched, Nyx whispered, the faintly glowing violet of their eyes intensifying as they stepped closer to a towering s…" | | 3 | "Solstice, Isolde said, finally turning." | | 4 | "Careful, Isolde murmured." | | 5 | "Up, Nyx said." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1517 | | uniqueNames | 15 | | maxNameDensity | 0.99 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Isolde | 9 | | Nyx | 7 | | January | 2 | | Heartstone | 2 | | Fae-forged | 1 | | Shade | 1 | | Veil | 2 | | Cardiff | 1 | | London | 2 | | Warden | 1 | | Rory | 15 | | Solstice | 2 | | Fae | 2 | | Aurora | 1 | | Carter | 1 |
| | persons | | 0 | "Isolde" | | 1 | "Nyx" | | 2 | "Heartstone" | | 3 | "Shade" | | 4 | "Rory" | | 5 | "Solstice" | | 6 | "Aurora" | | 7 | "Carter" |
| | places | | 0 | "January" | | 1 | "Cardiff" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 47.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 98 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like breathing frozen air" | | 1 | "felt like a talisman against whatever l" | | 2 | "something like recognition" | | 3 | "felt like suffocating" |
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| 68.16% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.318 | | wordCount | 1517 | | matches | | 0 | "Not fast enough to alarm, but steady" | | 1 | "Not a rigid barrier, but a membrane" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 63.21 | | std | 44.42 | | cv | 0.703 | | sampleLengths | | 0 | 148 | | 1 | 31 | | 2 | 62 | | 3 | 121 | | 4 | 31 | | 5 | 7 | | 6 | 115 | | 7 | 32 | | 8 | 91 | | 9 | 36 | | 10 | 120 | | 11 | 21 | | 12 | 109 | | 13 | 14 | | 14 | 104 | | 15 | 72 | | 16 | 20 | | 17 | 33 | | 18 | 128 | | 19 | 42 | | 20 | 17 | | 21 | 39 | | 22 | 12 | | 23 | 112 |
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| 96.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 161 | | matches | | 0 | "was paved" | | 1 | "was walked" | | 2 | "were marked" | | 3 | "was interwoven" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 271 | | matches | | 0 | "was burning" | | 1 | "wasn’t just thinning" | | 2 | "was breathing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 161 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1531 | | adjectiveStacks | 1 | | stackExamples | | 0 | "familiar crescent-shaped depression" |
| | adverbCount | 50 | | adverbRatio | 0.032658393207054215 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.013063357282821686 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 9.42 | | std | 7.43 | | cv | 0.789 | | sampleLengths | | 0 | 13 | | 1 | 20 | | 2 | 5 | | 3 | 29 | | 4 | 25 | | 5 | 21 | | 6 | 8 | | 7 | 13 | | 8 | 7 | | 9 | 7 | | 10 | 8 | | 11 | 11 | | 12 | 7 | | 13 | 2 | | 14 | 3 | | 15 | 8 | | 16 | 16 | | 17 | 30 | | 18 | 4 | | 19 | 4 | | 20 | 20 | | 21 | 22 | | 22 | 6 | | 23 | 18 | | 24 | 14 | | 25 | 3 | | 26 | 11 | | 27 | 4 | | 28 | 23 | | 29 | 6 | | 30 | 12 | | 31 | 3 | | 32 | 10 | | 33 | 7 | | 34 | 9 | | 35 | 22 | | 36 | 22 | | 37 | 24 | | 38 | 4 | | 39 | 7 | | 40 | 27 | | 41 | 19 | | 42 | 3 | | 43 | 3 | | 44 | 7 | | 45 | 10 | | 46 | 9 | | 47 | 16 | | 48 | 14 | | 49 | 13 |
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| 54.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.38509316770186336 | | totalSentences | 161 | | uniqueOpeners | 62 | |
| 23.81% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 140 | | matches | | | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 140 | | matches | | 0 | "She touched the Heartstone pendant" | | 1 | "You feel it too, Isolde" | | 2 | "Her voice carried the texture" | | 3 | "It remembers teeth." | | 4 | "She hadn’t asked why Isolde" | | 5 | "They didn’t sway." | | 6 | "They seemed to track her" | | 7 | "It just forgets to speak" | | 8 | "Her breath plumed in front" | | 9 | "She rubbed her left wrist" | | 10 | "She pressed her palm flat" | | 11 | "Her pale lavender eyes caught" | | 12 | "You stand on a hinge." | | 13 | "She stepped forward." | | 14 | "She followed them, watching her" | | 15 | "She passed arches carved to" | | 16 | "It was a cathedral grown" | | 17 | "It only waits for hands" | | 18 | "It was burning now, a" | | 19 | "She could feel it in" |
| | ratio | 0.236 | |
| 70.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 109 | | totalSentences | 140 | | matches | | 0 | "The moss surrendered to stone" | | 1 | "Rory crossed the threshold, her" | | 2 | "The seer’s silver hair, thick" | | 3 | "Rory’s own shadow lagged half" | | 4 | "She touched the Heartstone pendant" | | 5 | "The crimson gem, set in" | | 6 | "A metronome counting down to" | | 7 | "You feel it too, Isolde" | | 8 | "Her voice carried the texture" | | 9 | "The throat of the world" | | 10 | "It remembers teeth." | | 11 | "Rory adjusted the strap of" | | 12 | "The Fae-forged blade shifted against" | | 13 | "She hadn’t asked why Isolde" | | 14 | "Questions earned more riddles." | | 15 | "The grove’s boundary stones, ancient" | | 16 | "Rory followed Isolde into the" | | 17 | "The air grew heavier, sweet" | | 18 | "Wildflowers the color of bruised" | | 19 | "They didn’t sway." |
| | ratio | 0.779 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 140 | | matches | (empty) | | ratio | 0 | |
| 14.05% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 11 | | matches | | 0 | "Rory crossed the threshold, her boot sinking into damp earth that carried the sharp tang of crushed pine and ozone." | | 1 | "At her shoulder, Nyx pooled and uncoiled through the underbrush, a towering silhouette that shifted between solid and smoke like a draft catching a curtain." | | 2 | "She hadn’t asked why Isolde had pressed it into her hands three nights ago, wrapped in rough barkcloth and whispering about winter’s edge and shadows that forgo…" | | 3 | "Beyond them, the trees thinned, their branches twisting into a natural archway that led downward into a ravine veiled in pale mist." | | 4 | "The air grew heavier, sweet with the cloying scent of blossoms that had no business blooming in January." | | 5 | "Bioluminescent fungi clung to the ceiling in spiraling fractals, casting a pale blue luminescence that made the air look like suspended glass." | | 6 | "Veins of warm amber light pulsed through deep fractures in the rock, casting long, breathing shadows that stretched toward the walls like reaching fingers." | | 7 | "Hel-touched, Nyx whispered, the faintly glowing violet of their eyes intensifying as they stepped closer to a towering slab." | | 8 | "A fast-food runner in Cardiff, a pre-law student who’d fled an abusive past, a girl who’d packed a single duffel and learned to navigate London’s underbelly." | | 9 | "Isolde moved beside her, bare feet leaving nothing but damp smudges that faded as quickly as breath on glass." | | 10 | "Trees with silver bark and leaves like shattered mirrors stood in terraced groves, their branches intertwined into complex lattices that hummed when the subterr…" |
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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 | |