| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 964 | | 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) | |
| 22.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 964 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "silence" | | 1 | "flickered" | | 2 | "echo" | | 3 | "chill" | | 4 | "chilled" | | 5 | "warmth" | | 6 | "throb" | | 7 | "pulsed" | | 8 | "echoed" | | 9 | "gloom" | | 10 | "rhythmic" | | 11 | "lilt" | | 12 | "vibrated" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 964 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 934 | | uniqueNames | 9 | | maxNameDensity | 1.18 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | London | 1 | | Heathrow | 1 | | Heartstone | 2 | | Pendant | 1 | | Welsh | 1 | | Rory | 11 | | Plop | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Pendant" | | 2 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Heathrow" |
| | globalScore | 0.911 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed taller than they had looked from the park path, stretching into a canopy so dense that not a single star punctured the blackness above" |
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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 | 964 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 20.51 | | std | 13.61 | | cv | 0.663 | | sampleLengths | | 0 | 21 | | 1 | 59 | | 2 | 22 | | 3 | 4 | | 4 | 39 | | 5 | 47 | | 6 | 12 | | 7 | 30 | | 8 | 8 | | 9 | 41 | | 10 | 10 | | 11 | 9 | | 12 | 7 | | 13 | 45 | | 14 | 11 | | 15 | 8 | | 16 | 15 | | 17 | 34 | | 18 | 11 | | 19 | 12 | | 20 | 2 | | 21 | 24 | | 22 | 14 | | 23 | 39 | | 24 | 39 | | 25 | 8 | | 26 | 38 | | 27 | 3 | | 28 | 25 | | 29 | 8 | | 30 | 16 | | 31 | 30 | | 32 | 18 | | 33 | 17 | | 34 | 23 | | 35 | 7 | | 36 | 20 | | 37 | 13 | | 38 | 8 | | 39 | 36 | | 40 | 16 | | 41 | 34 | | 42 | 12 | | 43 | 5 | | 44 | 32 | | 45 | 12 | | 46 | 20 |
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| 93.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 89 | | matches | | 0 | "was supposed" | | 1 | "was cracked" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 144 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 93 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 941 | | adjectiveStacks | 2 | | stackExamples | | 0 | "late red double-decker" | | 1 | "smooth, thumbnail-sized crimson" |
| | adverbCount | 25 | | adverbRatio | 0.026567481402763018 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011689691817215728 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 10.37 | | std | 5.97 | | cv | 0.576 | | sampleLengths | | 0 | 21 | | 1 | 7 | | 2 | 20 | | 3 | 11 | | 4 | 6 | | 5 | 15 | | 6 | 14 | | 7 | 8 | | 8 | 4 | | 9 | 5 | | 10 | 16 | | 11 | 18 | | 12 | 9 | | 13 | 15 | | 14 | 16 | | 15 | 7 | | 16 | 12 | | 17 | 6 | | 18 | 9 | | 19 | 15 | | 20 | 8 | | 21 | 3 | | 22 | 11 | | 23 | 27 | | 24 | 2 | | 25 | 8 | | 26 | 1 | | 27 | 8 | | 28 | 7 | | 29 | 10 | | 30 | 19 | | 31 | 16 | | 32 | 7 | | 33 | 4 | | 34 | 5 | | 35 | 3 | | 36 | 15 | | 37 | 3 | | 38 | 14 | | 39 | 10 | | 40 | 7 | | 41 | 5 | | 42 | 6 | | 43 | 5 | | 44 | 7 | | 45 | 2 | | 46 | 10 | | 47 | 14 | | 48 | 14 | | 49 | 13 |
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| 46.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.34408602150537637 | | totalSentences | 93 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 83 | | matches | | 0 | "Only the thick, heavy scent" | | 1 | "Just leave the lacquered wooden" | | 2 | "Just the heavy, cloying perfume" | | 3 | "Then came the warmth against" | | 4 | "Then the voice drifted down" | | 5 | "Then another to her left." |
| | ratio | 0.072 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 83 | | matches | | 0 | "She checked the digital watch" | | 1 | "Her voice had no echo." | | 2 | "They bloomed in vivid, unseasonal" | | 3 | "She pulled the canvas satchel" | | 4 | "She spun round." | | 5 | "She held her breath until" | | 6 | "It flared with a dull" | | 7 | "she whispered to the stone" | | 8 | "It pulsed faster." | | 9 | "She backed away two paces." | | 10 | "Her boot heel struck a" | | 11 | "She did not look down." | | 12 | "Her gaze remained locked on" | | 13 | "It vanished behind an oak" | | 14 | "It was too tall for" | | 15 | "She clicked the button." | | 16 | "She swung the beam in" | | 17 | "Her throat clamped shut." | | 18 | "She lunged backward, her trainers" | | 19 | "It stood entirely motionless, like" |
| | ratio | 0.277 | |
| 80.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 83 | | matches | | 0 | "Rory tripped over a thick" | | 1 | "The silence hit her like" | | 2 | "She checked the digital watch" | | 3 | "The display flickered between zeros" | | 4 | "Her voice had no echo." | | 5 | "The sound dropped dead into" | | 6 | "They bloomed in vivid, unseasonal" | | 7 | "She pulled the canvas satchel" | | 8 | "Yu-Fei had offered fifty quid" | | 9 | "Rory walked deeper into the" | | 10 | "The air felt thick, like" | | 11 | "Every step rustled against stalks" | | 12 | "A distinct click sounded behind" | | 13 | "She spun round." | | 14 | "Nothing stood there except the" | | 15 | "The trees seemed taller than" | | 16 | "She held her breath until" | | 17 | "Rory reached beneath her coat" | | 18 | "The smooth, thumbnail-sized crimson gem" | | 19 | "It flared with a dull" |
| | ratio | 0.759 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "To her left, twenty yards" |
| | ratio | 0.012 | |
| 61.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 5 | | matches | | 0 | "The sound dropped dead into the carpet of purple and yellow wildflowers that choked the clearing." | | 1 | "Every step rustled against stalks that straightened themselves immediately after her boots passed over them." | | 2 | "The branches were knotted together in grotesque, tangled shapes that resembled bent human limbs." | | 3 | "Rory's ears popped, accompanied by a high-pitched whine that vibrated through her jaw." | | 4 | "She glanced over her shoulder toward the standing stones that marked the exit to Richmond Park." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice shaking despite her best effort" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "the canopy whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.75 | | effectiveRatio | 0.75 | |