| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Temple’s voice sharpened like [like]" |
| | dialogueSentences | 30 | | tagDensity | 0.433 | | leniency | 0.867 | | rawRatio | 0.077 | | effectiveRatio | 0.067 | |
| 95.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1186 | | totalAiIsmAdverbs | 1 | | 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) | |
| 36.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1186 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "glistening" | | 1 | "trembled" | | 2 | "comfortable" | | 3 | "etched" | | 4 | "flicked" | | 5 | "silence" | | 6 | "database" | | 7 | "glinting" | | 8 | "pulsed" | | 9 | "mosaic" | | 10 | "shattered" | | 11 | "mechanical" | | 12 | "flicker" | | 13 | "perfect" | | 14 | "calculating" |
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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 | 113 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1181 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 54.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 841 | | uniqueNames | 9 | | maxNameDensity | 1.9 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 16 | | Temple | 15 | | Veil | 4 | | Compass | 1 | | Poor | 1 | | Eva | 1 | | Market | 1 | | Weeping | 1 | | Turks | 1 |
| | persons | | | places | | | globalScore | 0.549 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like burnt coffee" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.847 | | wordCount | 1181 | | matches | | 0 | "Not rigor mortis, but the exact curdling of skin temperature associated with necro" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 24.1 | | std | 19.71 | | cv | 0.818 | | sampleLengths | | 0 | 47 | | 1 | 51 | | 2 | 33 | | 3 | 52 | | 4 | 13 | | 5 | 6 | | 6 | 5 | | 7 | 37 | | 8 | 10 | | 9 | 48 | | 10 | 25 | | 11 | 3 | | 12 | 24 | | 13 | 49 | | 14 | 32 | | 15 | 52 | | 16 | 5 | | 17 | 32 | | 18 | 65 | | 19 | 51 | | 20 | 33 | | 21 | 8 | | 22 | 45 | | 23 | 6 | | 24 | 38 | | 25 | 1 | | 26 | 40 | | 27 | 20 | | 28 | 2 | | 29 | 6 | | 30 | 2 | | 31 | 5 | | 32 | 11 | | 33 | 48 | | 34 | 6 | | 35 | 3 | | 36 | 8 | | 37 | 5 | | 38 | 11 | | 39 | 26 | | 40 | 8 | | 41 | 78 | | 42 | 15 | | 43 | 10 | | 44 | 32 | | 45 | 38 | | 46 | 13 | | 47 | 1 | | 48 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 113 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 143 | | matches | (empty) | |
| 77.92% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 132 | | ratio | 0.023 | | matches | | 0 | "The acrid stink of alchemical residue clung to the damp air, but the key scent—burnt thyme—had gone cold." | | 1 | "The sigil etched into the undercurve—a reversed ouroboros—wasn’t ritual artistry." | | 2 | "The reflex was second skin by now—any sensation from the dermal graft site meant the physics of this room had changed." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 544 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.02389705882352941 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.009191176470588236 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 8.94 | | std | 7.13 | | cv | 0.797 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 2 | | 3 | 2 | | 4 | 18 | | 5 | 17 | | 6 | 16 | | 7 | 18 | | 8 | 4 | | 9 | 11 | | 10 | 10 | | 11 | 5 | | 12 | 3 | | 13 | 29 | | 14 | 13 | | 15 | 10 | | 16 | 2 | | 17 | 11 | | 18 | 6 | | 19 | 3 | | 20 | 2 | | 21 | 7 | | 22 | 3 | | 23 | 1 | | 24 | 26 | | 25 | 9 | | 26 | 1 | | 27 | 33 | | 28 | 15 | | 29 | 3 | | 30 | 5 | | 31 | 2 | | 32 | 7 | | 33 | 8 | | 34 | 3 | | 35 | 9 | | 36 | 15 | | 37 | 18 | | 38 | 9 | | 39 | 3 | | 40 | 8 | | 41 | 3 | | 42 | 2 | | 43 | 5 | | 44 | 1 | | 45 | 15 | | 46 | 17 | | 47 | 14 | | 48 | 8 | | 49 | 7 |
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| 71.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4393939393939394 | | totalSentences | 132 | | uniqueOpeners | 58 | |
| 34.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 96 | | matches | | 0 | "More sapphire than blue." |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 96 | | matches | | 0 | "Her flashlight trembled slightly as" | | 1 | "Her gloved fingers brushed a" | | 2 | "It was a guardian brand." | | 3 | "She pocketed it." | | 4 | "Her watch ticked a slow" | | 5 | "It hadn’t stirred since the" | | 6 | "It should’ve been instinct to" | | 7 | "Her eyes tracked the market" | | 8 | "She signaled to Temple." | | 9 | "She felt the gears in" | | 10 | "She unclipped the small mirror" | | 11 | "She clicked off the phone" | | 12 | "she said, soft" | | 13 | "She gestured to the body’s" | | 14 | "She needed to tighten the" | | 15 | "she whispered to the dark" | | 16 | "She gestured to the compass." | | 17 | "They offered fine imports from" |
| | ratio | 0.188 | |
| 48.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 96 | | matches | | 0 | "The adrenaline in her veins" | | 1 | "Harlow Quinn’s boots crunched through" | | 2 | "The acrid stink of alchemical" | | 3 | "DS Temple grumbled, tapping her" | | 4 | "Her flashlight trembled slightly as" | | 5 | "Quinn ignored the jab." | | 6 | "Her gloved fingers brushed a" | | 7 | "The sigil etched into the" | | 8 | "It was a guardian brand." | | 9 | "She pocketed it." | | 10 | "Her watch ticked a slow" | | 11 | "It hadn’t stirred since the" | | 12 | "Temple’s jaw worked." | | 13 | "Quinn flicked the lid off" | | 14 | "The needle spun." | | 15 | "Temple’s face turned sallow beneath" | | 16 | "Quinn let the blade click" | | 17 | "The silence stretched." | | 18 | "Temple’s chin tilted up, squaring." | | 19 | "The one Quinn had bled" |
| | ratio | 0.823 | |
| 52.08% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 96 | | matches | | 0 | "Because of the way she" |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "Her eyes tracked, but the creature meant nothing to her" | | 1 | "she said, soft" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "DS Temple grumbled (grumble)" | | 1 | "Temple hissed (hiss)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 30 | | tagDensity | 0.133 | | leniency | 0.267 | | rawRatio | 0.75 | | effectiveRatio | 0.2 | |