| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "dead phone had only [only]" |
| | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |
| 92.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1307 | | totalAiIsmAdverbs | 2 | | 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) | |
| 34.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1307 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "flickered" | | 1 | "sanctuary" | | 2 | "weight" | | 3 | "echoed" | | 4 | "scanning" | | 5 | "gloom" | | 6 | "pulsed" | | 7 | "rhythmic" | | 8 | "silence" | | 9 | "searing" | | 10 | "churned" | | 11 | "could feel" | | 12 | "maw" | | 13 | "throbbed" |
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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 | 156 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 156 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1300 | | ratio | 0.002 | | matches | | 0 | "Wrong." | | 1 | "Guest." | | 2 | "into" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 1264 | | uniqueNames | 7 | | maxNameDensity | 0.79 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Park | 1 | | Heartstone | 1 | | Rory | 10 | | November | 1 | | Fae | 1 | | Silence | 1 | | Thump | 3 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 99.49% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like a stranger’s voice" | | 1 | "felt like it was on fire" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.308 | | wordCount | 1300 | | matches | | 0 | "Not on dead leaves, but on something hard" | | 1 | "not to the wind, but to her movement" | | 2 | "Not away from the danger, but *into* it" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 24.07 | | std | 15.34 | | cv | 0.637 | | sampleLengths | | 0 | 32 | | 1 | 65 | | 2 | 10 | | 3 | 52 | | 4 | 1 | | 5 | 58 | | 6 | 46 | | 7 | 41 | | 8 | 13 | | 9 | 34 | | 10 | 33 | | 11 | 35 | | 12 | 14 | | 13 | 3 | | 14 | 18 | | 15 | 9 | | 16 | 23 | | 17 | 50 | | 18 | 24 | | 19 | 14 | | 20 | 3 | | 21 | 41 | | 22 | 12 | | 23 | 13 | | 24 | 15 | | 25 | 38 | | 26 | 3 | | 27 | 21 | | 28 | 30 | | 29 | 8 | | 30 | 37 | | 31 | 25 | | 32 | 15 | | 33 | 20 | | 34 | 2 | | 35 | 32 | | 36 | 1 | | 37 | 36 | | 38 | 38 | | 39 | 34 | | 40 | 13 | | 41 | 11 | | 42 | 26 | | 43 | 19 | | 44 | 49 | | 45 | 17 | | 46 | 10 | | 47 | 38 | | 48 | 14 | | 49 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 156 | | matches | | 0 | "was littered" | | 1 | "was carpeted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 209 | | matches | | 0 | "was pulling" | | 1 | "was seeing" | | 2 | "was watching" |
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| 89.29% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 160 | | ratio | 0.019 | | matches | | 0 | "Silas said the gardeners couldn't reach the grove; the roots entangled the lawn mowers and rusted the blades." | | 1 | "It had no distinct features—just a shifting smear of void-like darkness against the forest floor." | | 2 | "The creature let out a sound—a low, guttural murmur of delight." |
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| 92.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 203 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.04433497536945813 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.024630541871921183 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 8.13 | | std | 5.54 | | cv | 0.682 | | sampleLengths | | 0 | 8 | | 1 | 6 | | 2 | 10 | | 3 | 8 | | 4 | 19 | | 5 | 19 | | 6 | 10 | | 7 | 17 | | 8 | 8 | | 9 | 2 | | 10 | 6 | | 11 | 21 | | 12 | 4 | | 13 | 2 | | 14 | 2 | | 15 | 17 | | 16 | 1 | | 17 | 13 | | 18 | 13 | | 19 | 2 | | 20 | 2 | | 21 | 8 | | 22 | 20 | | 23 | 11 | | 24 | 21 | | 25 | 3 | | 26 | 11 | | 27 | 3 | | 28 | 7 | | 29 | 6 | | 30 | 13 | | 31 | 12 | | 32 | 3 | | 33 | 8 | | 34 | 2 | | 35 | 5 | | 36 | 3 | | 37 | 8 | | 38 | 1 | | 39 | 17 | | 40 | 6 | | 41 | 14 | | 42 | 3 | | 43 | 10 | | 44 | 7 | | 45 | 11 | | 46 | 17 | | 47 | 14 | | 48 | 2 | | 49 | 1 |
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| 38.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.29375 | | totalSentences | 160 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 126 | | matches | | 0 | "Just like the torch on" | | 1 | "Usually, it was a cold" | | 2 | "Usually, a twenty-minute cycle was" | | 3 | "Just the smell of rot" | | 4 | "Just a phantom tree, its" | | 5 | "Maybe on the other side" | | 6 | "Then, a voice." | | 7 | "Barely ten feet away." | | 8 | "Then, the first bloom of" |
| | ratio | 0.071 | |
| 64.44% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 126 | | matches | | 0 | "She stood in the center" | | 1 | "It smelled of iron and" | | 2 | "It glowed faintly then." | | 3 | "She had spent three hours" | | 4 | "She looked down." | | 5 | "It was a riot of" | | 6 | "They swayed in a breeze" | | 7 | "She took a step forward." | | 8 | "Her boot crunched." | | 9 | "She shuddered, adjusting her black" | | 10 | "Her breath hitched." | | 11 | "She dragged her hair back," | | 12 | "They grew low, tangled roots" | | 13 | "Her voice echoed, bounced off" | | 14 | "It sounded like a stranger’s" | | 15 | "she muttered to herself" | | 16 | "She shoved the thought away." | | 17 | "Her phone had died at" | | 18 | "Her watch had stopped." | | 19 | "It pulsed, a rhythmic thumping" |
| | ratio | 0.389 | |
| 59.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 101 | | totalSentences | 126 | | matches | | 0 | "Rory checked her watch for" | | 1 | "The digital face flickered and" | | 2 | "A block of frost had" | | 3 | "She stood in the center" | | 4 | "Richmond Park was usually a" | | 5 | "The air here didn't smell" | | 6 | "It smelled of iron and" | | 7 | "The Heartstone pendant against her" | | 8 | "A piece of silver and" | | 9 | "It glowed faintly then." | | 10 | "A dull, radiating heat seeped" | | 11 | "Rory tightened her grip on" | | 12 | "She had spent three hours" | | 13 | "The park map on her" | | 14 | "She looked down." | | 15 | "The grass beneath her boots" | | 16 | "It was a riot of" | | 17 | "They swayed in a breeze" | | 18 | "The sound felt brittle in" | | 19 | "She took a step forward." |
| | ratio | 0.802 | |
| 39.68% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 126 | | matches | | 0 | "If she listened hard enough," |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 3 | | matches | | 0 | "A piece of silver and crimson glass given to her by a man who vanished in a cloud of hospital hallways." | | 1 | "The crimson gemstone inside churned, glowing with a violent, angry light that bathed the surrounding darkness in deep red." | | 2 | "The path was still there, straight and inviting, leading to a clearing where the ground was carpeted in flowers of a color that didn't exist in the real world." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she muttered (mutter)" | | 2 | "she snarled (snarl)" |
| | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.75 | | effectiveRatio | 0.667 | |