| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1097 | | totalAiIsmAdverbs | 3 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1097 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "echoing" | | 1 | "chilling" | | 2 | "warmth" | | 3 | "sentinels" | | 4 | "oppressive" | | 5 | "silence" | | 6 | "rhythmic" | | 7 | "whisper" | | 8 | "navigating" | | 9 | "treacherous" | | 10 | "pulsed" | | 11 | "flickered" | | 12 | "resolved" | | 13 | "gloom" | | 14 | "charged" | | 15 | "glistening" | | 16 | "searing" | | 17 | "shimmered" | | 18 | "sinister" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 90 | | matches | (empty) | |
| 63.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1094 | | ratio | 0 | | matches | (empty) | |
| 41.67% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 1 | | matches | | 0 | "Just the play of shadows, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1088 | | uniqueNames | 9 | | maxNameDensity | 0.83 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 3 | | Pendant | 3 | | Richmond | 1 | | Park | 1 | | Fae | 2 | | Grove | 4 | | Dymas | 1 | | Isolde | 5 | | Rory | 9 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 6 | | matches | | 0 | "seemed abnormally loud in the oppressive silence" | | 1 | "quite see" | | 2 | "quite trees, not quite human" | | 3 | "not quite human" | | 4 | "looked like a gaunt arm reaching, a knot" | | 5 | "Not quite fire, not quite moonlight" | | 6 | "not quite moonlight" | | 7 | "not quite human, but disturbingly proportioned" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.914 | | wordCount | 1094 | | matches | | 0 | "not quite human, but disturbingly proportioned" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 43.76 | | std | 23.67 | | cv | 0.541 | | sampleLengths | | 0 | 57 | | 1 | 90 | | 2 | 59 | | 3 | 85 | | 4 | 70 | | 5 | 77 | | 6 | 35 | | 7 | 14 | | 8 | 27 | | 9 | 62 | | 10 | 38 | | 11 | 80 | | 12 | 37 | | 13 | 23 | | 14 | 28 | | 15 | 28 | | 16 | 15 | | 17 | 26 | | 18 | 21 | | 19 | 2 | | 20 | 51 | | 21 | 53 | | 22 | 53 | | 23 | 23 | | 24 | 40 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 174 | | matches | (empty) | |
| 80.06% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 91 | | ratio | 0.022 | | matches | | 0 | "It wasn't the kind of fear that made you run; it was the kind that held you rooted to the spot, making you search the darkness for what you couldn't quite see." | | 1 | "Its head was indistinct, shrouded in shadow, but two points of light – eyes – glinted with malevolent amusement." |
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| 85.76% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 769 | | adjectiveStacks | 1 | | stackExamples | | 0 | "far older, far stranger." |
| | adverbCount | 38 | | adverbRatio | 0.0494148244473342 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.01950585175552666 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 12.02 | | std | 6.32 | | cv | 0.526 | | sampleLengths | | 0 | 15 | | 1 | 10 | | 2 | 19 | | 3 | 8 | | 4 | 5 | | 5 | 21 | | 6 | 19 | | 7 | 19 | | 8 | 13 | | 9 | 18 | | 10 | 13 | | 11 | 3 | | 12 | 17 | | 13 | 9 | | 14 | 17 | | 15 | 15 | | 16 | 17 | | 17 | 16 | | 18 | 16 | | 19 | 21 | | 20 | 16 | | 21 | 1 | | 22 | 8 | | 23 | 3 | | 24 | 10 | | 25 | 32 | | 26 | 18 | | 27 | 11 | | 28 | 7 | | 29 | 23 | | 30 | 18 | | 31 | 15 | | 32 | 10 | | 33 | 10 | | 34 | 14 | | 35 | 8 | | 36 | 8 | | 37 | 3 | | 38 | 2 | | 39 | 6 | | 40 | 7 | | 41 | 18 | | 42 | 18 | | 43 | 19 | | 44 | 8 | | 45 | 6 | | 46 | 17 | | 47 | 5 | | 48 | 2 | | 49 | 26 |
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| 40.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.2857142857142857 | | totalSentences | 91 | | uniqueOpeners | 26 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 86 | | matches | | 0 | "Just the play of shadows," | | 1 | "Just her mind." | | 2 | "Only the rustle of her" | | 3 | "Then, from behind her, a" | | 4 | "Only the ancient, silent sentinels" |
| | ratio | 0.058 | |
| 99.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 86 | | matches | | 0 | "She wasn't meant to feel" | | 1 | "Her bright blue eyes darted" | | 2 | "She gripped the silver chain" | | 3 | "It remained cool against her" | | 4 | "She pushed deeper into the" | | 5 | "It wasn't the kind of" | | 6 | "She knew what she sought" | | 7 | "It seemed to come from" | | 8 | "Her voice, usually steady, sounded" | | 9 | "She exhaled slowly, trying to" | | 10 | "It wasn't just in her" | | 11 | "She continued, each step a" | | 12 | "It pulsed with a soft," | | 13 | "She could practically taste the" | | 14 | "She hadn't heard a whisper" | | 15 | "She had been so focused" | | 16 | "She slowly turned, her heart" | | 17 | "she demanded, her voice steadier" | | 18 | "It was thin, reedy, like" | | 19 | "It seemed to slither from" |
| | ratio | 0.302 | |
| 35.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 86 | | matches | | 0 | "The ancient oak snapped under" | | 1 | "Rory froze, shoulders tensing, her" | | 2 | "A cold dread prickled the" | | 3 | "She wasn't meant to feel" | | 4 | "Isolde had promised safe passage." | | 5 | "Rory drew the thick wool" | | 6 | "Her bright blue eyes darted" | | 7 | "The distinct scent of damp" | | 8 | "She gripped the silver chain" | | 9 | "It remained cool against her" | | 10 | "This particular section of Richmond" | | 11 | "The Fae Grove." | | 12 | "A place where time played" | | 13 | "Tonight, however, the veil felt" | | 14 | "The air hummed with a" | | 15 | "She pushed deeper into the" | | 16 | "The towering oaks, impossibly ancient," | | 17 | "Moonlight struggled to pierce through," | | 18 | "Each step crunched on fallen" | | 19 | "A flutter of movement at" |
| | ratio | 0.849 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory froze, shoulders tensing, her breath catching in her throat." | | 1 | "Each step crunched on fallen leaves, a sound that seemed abnormally loud in the oppressive silence." | | 2 | "She could practically taste the otherness of it, a wild, elemental tang that made her senses swim." | | 3 | "The Heartstone Pendant now burned against her skin, a searing heat that was almost painful." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 3 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |