| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 988 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "gently" | | 1 | "carefully" | | 2 | "utterly" |
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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) | |
| 13.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 988 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "chill" | | 1 | "pulse" | | 2 | "echoed" | | 3 | "pounding" | | 4 | "scanned" | | 5 | "vibrated" | | 6 | "scanning" | | 7 | "pang" | | 8 | "stark" | | 9 | "crystalline" | | 10 | "flawless" | | 11 | "perfect" | | 12 | "warmth" | | 13 | "weight" | | 14 | "glistening" | | 15 | "intensity" |
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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 | 69 | | matches | (empty) | |
| 80.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | | 0 | "started to" | | 1 | "began to" | | 2 | "tended to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 987 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 928 | | uniqueNames | 8 | | maxNameDensity | 0.97 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | London | 1 | | Rory | 9 | | Heartstone | 1 | | Pendant | 1 | | Nyx | 4 | | Fae-forged | 1 | | Earth | 1 | | Fae | 2 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 987 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 51.95 | | std | 27.07 | | cv | 0.521 | | sampleLengths | | 0 | 72 | | 1 | 42 | | 2 | 31 | | 3 | 16 | | 4 | 69 | | 5 | 52 | | 6 | 20 | | 7 | 23 | | 8 | 76 | | 9 | 71 | | 10 | 26 | | 11 | 71 | | 12 | 79 | | 13 | 44 | | 14 | 5 | | 15 | 34 | | 16 | 82 | | 17 | 66 | | 18 | 108 |
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| 95.09% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 69 | | matches | | 0 | "was carpeted" | | 1 | "were glazed" |
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| 55.07% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 138 | | matches | | 0 | "was intoxicating" | | 1 | "were wading" | | 2 | "were drawing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 73 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 929 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.02045209903121636 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007534983853606028 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 13.52 | | std | 5.86 | | cv | 0.434 | | sampleLengths | | 0 | 22 | | 1 | 12 | | 2 | 17 | | 3 | 21 | | 4 | 10 | | 5 | 15 | | 6 | 17 | | 7 | 9 | | 8 | 12 | | 9 | 10 | | 10 | 16 | | 11 | 4 | | 12 | 13 | | 13 | 13 | | 14 | 5 | | 15 | 6 | | 16 | 16 | | 17 | 12 | | 18 | 10 | | 19 | 13 | | 20 | 12 | | 21 | 17 | | 22 | 20 | | 23 | 12 | | 24 | 11 | | 25 | 11 | | 26 | 15 | | 27 | 12 | | 28 | 21 | | 29 | 17 | | 30 | 9 | | 31 | 16 | | 32 | 25 | | 33 | 9 | | 34 | 12 | | 35 | 19 | | 36 | 7 | | 37 | 15 | | 38 | 9 | | 39 | 15 | | 40 | 3 | | 41 | 5 | | 42 | 15 | | 43 | 9 | | 44 | 12 | | 45 | 10 | | 46 | 13 | | 47 | 14 | | 48 | 4 | | 49 | 26 |
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| 57.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3835616438356164 | | totalSentences | 73 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 98.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 69 | | matches | | 0 | "She stumbled forward, one hand" | | 1 | "It was a thick, honeyed" | | 2 | "It stretched, thickened, and settled" | | 3 | "Their voice was a rustle" | | 4 | "They grew from trees with" | | 5 | "She let her hand fall" | | 6 | "They stood in an orchard" | | 7 | "They started to walk, their" | | 8 | "She kept her eyes moving," | | 9 | "She swallowed, the taste of" | | 10 | "They passed under a bough" | | 11 | "It was beautiful." | | 12 | "It was a lilting tune" | | 13 | "It was not water." | | 14 | "She resisted the urge to" | | 15 | "They were humanoid, but their" | | 16 | "They tended to gardens where" | | 17 | "His eyes were glazed, unfocused." | | 18 | "They were drawing closer to" | | 19 | "They groaned under the weight" |
| | ratio | 0.304 | |
| 32.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 69 | | matches | | 0 | "The air shifted, losing the" | | 1 | "The greasy stone beneath Rory’s" | | 2 | "She stumbled forward, one hand" | | 3 | "The heat from the crimson" | | 4 | "A light, not of sun" | | 5 | "It was a thick, honeyed" | | 6 | "The air tasted sweet, a" | | 7 | "It stretched, thickened, and settled" | | 8 | "The being’s faint violet eyes" | | 9 | "Their voice was a rustle" | | 10 | "Rory followed their gaze." | | 11 | "They grew from trees with" | | 12 | "Gravity felt strange here, heavier." | | 13 | "Each breath was a conscious" | | 14 | "She let her hand fall" | | 15 | "The moonsilver hilt was a" | | 16 | "They stood in an orchard" | | 17 | "Fruits like swollen, luminous jewels" | | 18 | "Some were spheres of pulsating" | | 19 | "A low, continuous hum vibrated" |
| | ratio | 0.855 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 14.29% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 9 | | matches | | 0 | "The heat from the crimson gem was a feverish thrum, a constant, insistent pulse that echoed the pounding in her ears." | | 1 | "Rory followed, her boots making soft thuds that sounded unnervingly loud in the humming quiet." | | 2 | "She kept her eyes moving, scanning the spaces between the obsidian trees." | | 3 | "The ground was carpeted in a moss that glowed with a soft, internal phosphorescence, illuminating their path in the amber twilight." | | 4 | "The scent that rolled towards them was intoxicating, a dizzying blend of strawberries and something else, something she couldn't name, a fragrance that promised…" | | 5 | "Small, boat-like leaves drifted on the surface, each carrying a single, perfect berry that shone like a drop of blood." | | 6 | "They were humanoid, but their movements were slow, languid, as if they were wading through heavy water." | | 7 | "The piping melody wrapped around a chorus of voices, a song of pure, unadulterated joy that felt utterly hollow." | | 8 | "They groaned under the weight of roasted beasts, mountains of glistening pastries, and fountains that flowed with crimson wine." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |