| 49.06% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 4 | | adverbTags | | 0 | "She turned back [back]" | | 1 | "the weariness she’d initially [initially]" | | 2 | "she said quietly [quietly]" | | 3 | "Rory finally said [finally]" |
| | dialogueSentences | 53 | | tagDensity | 0.302 | | leniency | 0.604 | | rawRatio | 0.25 | | effectiveRatio | 0.151 | |
| 77.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1314 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "perfectly" | | 2 | "carefully" | | 3 | "very" |
| |
| 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) | |
| 8.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1314 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "weight" | | 1 | "chaotic" | | 2 | "familiar" | | 3 | "oppressive" | | 4 | "unreadable" | | 5 | "potential" | | 6 | "chill" | | 7 | "comforting" | | 8 | "reminder" | | 9 | "normalcy" | | 10 | "silence" | | 11 | "rhythmic" | | 12 | "warmth" | | 13 | "tracing" | | 14 | "whisper" | | 15 | "eyebrow" | | 16 | "gleaming" | | 17 | "ensuring" | | 18 | "flicker" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "hung heavy in the air" | | 1 | "sent a chill down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 86 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1305 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 777 | | uniqueNames | 10 | | maxNameDensity | 3.35 | | worstName | "Rory" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Eva" | | discoveredNames | | Ptolemy | 3 | | Rory | 26 | | London | 1 | | Eva | 25 | | Brick | 1 | | Lane | 1 | | Silence | 1 | | French | 1 | | Lucien | 4 | | Moreau | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Silence" | | 4 | "Lucien" | | 5 | "Moreau" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.766 | | wordCount | 1305 | | matches | | 0 | "not even to herself, but Eva was right" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 26.1 | | std | 16 | | cv | 0.613 | | sampleLengths | | 0 | 68 | | 1 | 32 | | 2 | 20 | | 3 | 31 | | 4 | 34 | | 5 | 4 | | 6 | 7 | | 7 | 20 | | 8 | 12 | | 9 | 34 | | 10 | 18 | | 11 | 1 | | 12 | 9 | | 13 | 18 | | 14 | 19 | | 15 | 16 | | 16 | 22 | | 17 | 63 | | 18 | 13 | | 19 | 44 | | 20 | 29 | | 21 | 30 | | 22 | 48 | | 23 | 21 | | 24 | 49 | | 25 | 19 | | 26 | 26 | | 27 | 7 | | 28 | 37 | | 29 | 61 | | 30 | 24 | | 31 | 6 | | 32 | 42 | | 33 | 13 | | 34 | 20 | | 35 | 44 | | 36 | 27 | | 37 | 51 | | 38 | 31 | | 39 | 13 | | 40 | 9 | | 41 | 22 | | 42 | 25 | | 43 | 6 | | 44 | 26 | | 45 | 27 | | 46 | 9 | | 47 | 49 | | 48 | 12 | | 49 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 136 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 121 | | ratio | 0.008 | | matches | | 0 | "Rory flexed her fingers, tracing the crescent-shaped scar on her left wrist – a relic of a childhood attempt to climb a very tall tree." |
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| 92.30% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 784 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.047193877551020405 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.021683673469387755 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 10.79 | | std | 7.98 | | cv | 0.74 | | sampleLengths | | 0 | 8 | | 1 | 22 | | 2 | 5 | | 3 | 14 | | 4 | 1 | | 5 | 18 | | 6 | 7 | | 7 | 1 | | 8 | 1 | | 9 | 23 | | 10 | 15 | | 11 | 5 | | 12 | 9 | | 13 | 4 | | 14 | 18 | | 15 | 26 | | 16 | 8 | | 17 | 4 | | 18 | 7 | | 19 | 5 | | 20 | 9 | | 21 | 6 | | 22 | 11 | | 23 | 1 | | 24 | 8 | | 25 | 19 | | 26 | 7 | | 27 | 5 | | 28 | 10 | | 29 | 3 | | 30 | 1 | | 31 | 9 | | 32 | 5 | | 33 | 13 | | 34 | 3 | | 35 | 16 | | 36 | 16 | | 37 | 1 | | 38 | 9 | | 39 | 3 | | 40 | 9 | | 41 | 3 | | 42 | 9 | | 43 | 33 | | 44 | 18 | | 45 | 2 | | 46 | 11 | | 47 | 21 | | 48 | 23 | | 49 | 6 |
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| 58.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.371900826446281 | | totalSentences | 121 | | uniqueOpeners | 45 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | 0 | "Just a statement of fact." |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 79 | | matches | | 0 | "She hadn’t been back here" | | 1 | "It didn't explain why she’d" | | 2 | "She straightened, turning slowly to" | | 3 | "She ran a hand through" | | 4 | "She turned back to her" | | 5 | "She hadn’t forgotten the looks," | | 6 | "She hadn’t wanted to admit" | | 7 | "She walked to the small" | | 8 | "It was a comforting smell," | | 9 | "she said quietly" | | 10 | "Her hand froze mid-stroke on" | | 11 | "She stood up, pacing the" | | 12 | "She knew Eva was right." | | 13 | "He was manipulative." | | 14 | "it overrode everything else." | | 15 | "His eyes, one amber, one" | | 16 | "He pushed himself off the" | | 17 | "He offered a slight bow," | | 18 | "he said, his voice softening" | | 19 | "She just met his gaze," |
| | ratio | 0.266 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 79 | | matches | | 0 | "The third deadbolt clicked, then" | | 1 | "Eva’s flat smelled, as always," | | 2 | "Rory barely registered the cat." | | 3 | "She hadn’t been back here" | | 4 | "Eva hadn’t looked surprised to" | | 5 | "The bags under her eyes" | | 6 | "Eva said, stepping back to" | | 7 | "Rory mumbled, knowing it was" | | 8 | "London traffic was perpetual." | | 9 | "It didn't explain why she’d" | | 10 | "Eva moved past her, already" | | 11 | "The barb hit its mark." | | 12 | "Rory swallowed, the lump in" | | 13 | "Eva didn’t look up from" | | 14 | "Rory hesitated, her gaze sweeping" | | 15 | "The familiar clutter usually comforted" | | 16 | "That finally got Eva’s attention." | | 17 | "She straightened, turning slowly to" | | 18 | "Rory nodded, avoiding Eva’s gaze." | | 19 | "Eva’s lips thinned." |
| | ratio | 0.949 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 2 | | matches | | 0 | "She hadn’t forgotten the looks, the lingering touches, the late-night conversations that had blurred the lines between investigation and…" | | 1 | "The only sound was the rhythmic purring of Ptolemy, who had abandoned Rory's ankles for the relative warmth of Eva’s lap." |
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| 31.25% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 3 | | matches | | 0 | "Rory finally said, the words barely a whisper" | | 1 | "Eva said, her voice tight" | | 2 | "he said, his voice softening," |
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| 93.40% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "Rory mumbled (mumble)" | | 1 | "Eva sighed (sigh)" | | 2 | "a smooth voice drawled (drawl)" |
| | dialogueSentences | 53 | | tagDensity | 0.17 | | leniency | 0.34 | | rawRatio | 0.333 | | effectiveRatio | 0.113 | |