| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1127 | | 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) | |
| 60.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1127 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "perfect" | | 1 | "vibrated" | | 2 | "silence" | | 3 | "weight" | | 4 | "echoing" | | 5 | "echoed" | | 6 | "searing" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "knuckles turned white" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "knuckles turned white" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1127 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1062 | | uniqueNames | 9 | | maxNameDensity | 0.85 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 9 | | Cheung | 1 | | Richmond | 1 | | Park | 1 | | Silence | 1 | | London | 1 | | Heartstone | 2 | | Evan | 2 | | Cardiff | 1 |
| | persons | | 0 | "Rory" | | 1 | "Cheung" | | 2 | "Silence" | | 3 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 22.54% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.775 | | wordCount | 1127 | | matches | | 0 | "Not the quiet of a park at night, but a hollow, vacuum-like silence" | | 1 | "not from the edge of the clearing, but directly beside her feet" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 25.61 | | std | 15.2 | | cv | 0.594 | | sampleLengths | | 0 | 33 | | 1 | 38 | | 2 | 12 | | 3 | 48 | | 4 | 25 | | 5 | 41 | | 6 | 18 | | 7 | 28 | | 8 | 31 | | 9 | 38 | | 10 | 19 | | 11 | 7 | | 12 | 31 | | 13 | 3 | | 14 | 18 | | 15 | 45 | | 16 | 16 | | 17 | 27 | | 18 | 1 | | 19 | 43 | | 20 | 8 | | 21 | 19 | | 22 | 12 | | 23 | 41 | | 24 | 55 | | 25 | 23 | | 26 | 6 | | 27 | 60 | | 28 | 12 | | 29 | 15 | | 30 | 23 | | 31 | 54 | | 32 | 4 | | 33 | 36 | | 34 | 20 | | 35 | 12 | | 36 | 11 | | 37 | 37 | | 38 | 28 | | 39 | 7 | | 40 | 26 | | 41 | 39 | | 42 | 43 | | 43 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 94 | | ratio | 0.011 | | matches | | 0 | "The shadows did not align with the faint glow of her pendant or the brass lantern; they moved independently, sliding along the dirt toward her boots." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1073 | | adjectiveStacks | 3 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "dark blood-red light" | | 2 | "pale, mud-skinned figures" |
| | adverbCount | 25 | | adverbRatio | 0.023299161230195712 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0065237651444548 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 11.99 | | std | 5.9 | | cv | 0.492 | | sampleLengths | | 0 | 14 | | 1 | 19 | | 2 | 10 | | 3 | 28 | | 4 | 12 | | 5 | 9 | | 6 | 15 | | 7 | 24 | | 8 | 4 | | 9 | 14 | | 10 | 7 | | 11 | 16 | | 12 | 11 | | 13 | 14 | | 14 | 14 | | 15 | 4 | | 16 | 2 | | 17 | 13 | | 18 | 3 | | 19 | 10 | | 20 | 6 | | 21 | 8 | | 22 | 17 | | 23 | 18 | | 24 | 8 | | 25 | 12 | | 26 | 11 | | 27 | 8 | | 28 | 7 | | 29 | 3 | | 30 | 13 | | 31 | 15 | | 32 | 3 | | 33 | 18 | | 34 | 3 | | 35 | 10 | | 36 | 13 | | 37 | 19 | | 38 | 16 | | 39 | 7 | | 40 | 11 | | 41 | 9 | | 42 | 1 | | 43 | 12 | | 44 | 11 | | 45 | 20 | | 46 | 8 | | 47 | 4 | | 48 | 8 | | 49 | 7 |
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| 59.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4148936170212766 | | totalSentences | 94 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 85 | | matches | | 0 | "She pulled her arm free" | | 1 | "She stumbled across a sunken" | | 2 | "Her thumb brushed the small" | | 3 | "She stepped between two oak" | | 4 | "She reached into her bag" | | 5 | "She looked down." | | 6 | "Her left hand gripped her" | | 7 | "It was dry and papery," | | 8 | "It sounded sickeningly like Evan," | | 9 | "Her blood ran cold." | | 10 | "She had left him two" | | 11 | "Her knuckles turned white around" | | 12 | "She snapped the toggle of" | | 13 | "It was not human." | | 14 | "It clung to the side" | | 15 | "It grinned, revealing rows of" | | 16 | "it rasped, its jaw unhinging" | | 17 | "She swung the heavy beam" | | 18 | "She stumbled, her elbow slamming" | | 19 | "She did not stop to" |
| | ratio | 0.259 | |
| 24.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 85 | | matches | | 0 | "A thorn ripped through Rory’s" | | 1 | "She pulled her arm free" | | 2 | "The lacquered wooden box rattled" | | 3 | "Yu-Fei Cheung had paid her" | | 4 | "She stumbled across a sunken" | | 5 | "Rory checked her wristwatch." | | 6 | "The second hand vibrated in" | | 7 | "Tick-tock went the mechanism, then" | | 8 | "Her thumb brushed the small" | | 9 | "Heat radiated through the silver" | | 10 | "Rory’s voice sounded muffled, as" | | 11 | "She stepped between two oak" | | 12 | "A subtle shift in pressure" | | 13 | "The scent of damp earth" | | 14 | "Rory walked toward the centre" | | 15 | "A brass lantern rested on" | | 16 | "Smoke curled from its glass" | | 17 | "She reached into her bag" | | 18 | "A sharp snap rang out" | | 19 | "Rory whirled around." |
| | ratio | 0.871 | |
| 58.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 85 | | matches | | | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 1 | | matches | | 0 | "The crushed stems oozed a black, viscous fluid that bubbled against the grass." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory’s voice sounded, as if the air itself absorbed the sound waves" | | 1 | "it rasped, its jaw unhinging with a wet crack" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "the high voice sang (sing)" |
| | dialogueSentences | 12 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 1 | | effectiveRatio | 0.333 | |