| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 860 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 18.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 860 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulsed" | | 1 | "loomed" | | 2 | "sentinels" | | 3 | "pulse" | | 4 | "weight" | | 5 | "silence" | | 6 | "whisper" | | 7 | "shimmered" | | 8 | "searing" | | 9 | "flickered" |
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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 | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 45.43% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 19 | | markdownWords | 66 | | totalWords | 854 | | ratio | 0.077 | | matches | | 0 | "meet me at the grove, midnight, or the deal’s off" | | 1 | "I" | | 2 | "Rory. Think like Rory." | | 3 | "Aurora Carter, barrister’s daughter, survivor of Evan’s fists" | | 4 | "crack" | | 5 | "On" | | 6 | "\"You’re late.\"" | | 7 | "\"Late.\"" | | 8 | "clink" | | 9 | "\"You shouldn’t have come.\"" | | 10 | "\"Too late now.\"" | | 11 | "\"The door’s open.\"" | | 12 | "shifted" | | 13 | "\"You’re not supposed to be here,\"" | | 14 | "\"The door’s for the lost. Not the found.\"" | | 15 | "breathe" | | 16 | "\"You’re not supposed to be here,\"" | | 17 | "\"But you are.\"" | | 18 | "\"Welcome home.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.15% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 814 | | uniqueNames | 8 | | maxNameDensity | 1.6 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 2 | | Heartstone | 2 | | London | 1 | | Evan | 1 | | Eva | 1 | | Aurora | 13 | | Should | 3 | | Didn | 3 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Evan" | | 3 | "Eva" | | 4 | "Aurora" | | 5 | "Should" |
| | places | | | globalScore | 0.701 | | windowScore | 0.833 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "quite here" | | 1 | "something like damp earth and rotting leaves" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 854 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 25.12 | | std | 25.34 | | cv | 1.009 | | sampleLengths | | 0 | 1 | | 1 | 6 | | 2 | 84 | | 3 | 83 | | 4 | 3 | | 5 | 8 | | 6 | 45 | | 7 | 1 | | 8 | 2 | | 9 | 31 | | 10 | 29 | | 11 | 75 | | 12 | 3 | | 13 | 3 | | 14 | 5 | | 15 | 1 | | 16 | 47 | | 17 | 30 | | 18 | 39 | | 19 | 6 | | 20 | 51 | | 21 | 57 | | 22 | 6 | | 23 | 47 | | 24 | 46 | | 25 | 6 | | 26 | 2 | | 27 | 49 | | 28 | 1 | | 29 | 6 | | 30 | 40 | | 31 | 17 | | 32 | 22 | | 33 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 99 | | ratio | 0.081 | | matches | | 0 | "Should’ve ignored the note tucked into her delivery bag—*meet me at the grove, midnight, or the deal’s off*—signed with a single, looping *I*." | | 1 | "Then—" | | 2 | "Should’ve—" | | 3 | "The tree’s scent—earth and sap—cloyed in her throat." | | 4 | "She thrashed, her elbow connecting with something solid—a ribcage?" | | 5 | "A shoulder?—and the grip loosened." | | 6 | "Its limbs were wrong—too long, too jointed—and its skin was the color of old parchment, stretched too tight over bone." | | 7 | "Then—" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 822 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.037712895377128956 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0024330900243309003 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 8.61 | | std | 6.28 | | cv | 0.73 | | sampleLengths | | 0 | 6 | | 1 | 23 | | 2 | 16 | | 3 | 7 | | 4 | 23 | | 5 | 2 | | 6 | 3 | | 7 | 10 | | 8 | 11 | | 9 | 16 | | 10 | 7 | | 11 | 9 | | 12 | 1 | | 13 | 25 | | 14 | 10 | | 15 | 4 | | 16 | 3 | | 17 | 4 | | 18 | 4 | | 19 | 8 | | 20 | 5 | | 21 | 3 | | 22 | 3 | | 23 | 8 | | 24 | 3 | | 25 | 2 | | 26 | 13 | | 27 | 1 | | 28 | 2 | | 29 | 4 | | 30 | 4 | | 31 | 10 | | 32 | 11 | | 33 | 2 | | 34 | 7 | | 35 | 13 | | 36 | 5 | | 37 | 3 | | 38 | 1 | | 39 | 11 | | 40 | 9 | | 41 | 17 | | 42 | 13 | | 43 | 25 | | 44 | 3 | | 45 | 3 | | 46 | 5 | | 47 | 17 | | 48 | 12 | | 49 | 12 |
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| 33.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.26262626262626265 | | totalSentences | 99 | | uniqueOpeners | 26 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 80 | | matches | | 0 | "Just a scrawl that smelled" | | 1 | "Just the *crack* of something" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 80 | | matches | | 0 | "She should’ve left it in" | | 1 | "She swallowed it down, forced" | | 2 | "She could be safe." | | 3 | "She didn’t move." | | 4 | "She should’ve brought a knife." | | 5 | "She could see through them" | | 6 | "Her breath hitched." | | 7 | "She didn’t chase it." | | 8 | "She pressed a hand to" | | 9 | "She thrashed, her elbow connecting" | | 10 | "She twisted free, rolling onto" | | 11 | "She lunged for it, fingers" | | 12 | "Its limbs were wrong—too long," | | 13 | "Its face was a mask" | | 14 | "She didn’t wait to hear" | | 15 | "She didn’t look back." | | 16 | "Her lungs burned, her vision" | | 17 | "it repeated, its voice a" |
| | ratio | 0.225 | |
| 47.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 80 | | matches | | 0 | "The pendant burned against her" | | 1 | "Aurora Carter yanked her hand" | | 2 | "The Heartstone’s crimson glow pulsed" | | 3 | "She should’ve left it in" | | 4 | "The air here was thick," | | 5 | "The standing stones loomed like" | | 6 | "Aurora’s breath came too fast," | | 7 | "She swallowed it down, forced" | | 8 | "Here, in this pocket between" | | 9 | "She could be safe." | | 10 | "A twig snapped." | | 11 | "Aurora’s head whipped toward the" | | 12 | "The grove was too still." | | 13 | "She didn’t move." | | 14 | "A voice like honey and" | | 15 | "Aurora’s fingers twitched toward the" | | 16 | "The chain was cold now," | | 17 | "She should’ve brought a knife." | | 18 | "The word slithered closer, the" | | 19 | "Aurora’s gaze darted to the" |
| | ratio | 0.825 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "Aurora Carter yanked her hand back as if the silver chain had scalded her, fingers curling into the damp earth of the grove." | | 1 | "The standing stones loomed like silent sentinels, their bark blackened as if scorched by something unseen." | | 2 | "Its face was a mask of smooth, featureless flesh, save for the mouth, which split into a grin that revealed teeth like blackened fangs." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "it repeated, its voice a chorus of whispers" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "the thing whispered (whisper)" | | 1 | "it repeated (repeat)" |
| | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |