| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 766 | | 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) | |
| 47.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 766 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "gloom" | | 1 | "perfect" | | 2 | "standard" | | 3 | "rhythmic" | | 4 | "glint" | | 5 | "etched" | | 6 | "intricate" | | 7 | "chill" |
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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 | 46 | | matches | (empty) | |
| 80.75% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 46 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 64 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 767 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 55.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 579 | | uniqueNames | 7 | | maxNameDensity | 1.9 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 11 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Davies | 8 | | Bovril | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Davies" |
| | places | (empty) | | globalScore | 0.55 | | windowScore | 0.667 | |
| 21.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like crushed lavender and ozone" | | 1 | "sounded like heavy boots walking on wooden" |
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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 | 767 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 26.45 | | std | 21.27 | | cv | 0.804 | | sampleLengths | | 0 | 4 | | 1 | 6 | | 2 | 62 | | 3 | 14 | | 4 | 74 | | 5 | 45 | | 6 | 26 | | 7 | 37 | | 8 | 30 | | 9 | 12 | | 10 | 6 | | 11 | 64 | | 12 | 33 | | 13 | 12 | | 14 | 18 | | 15 | 69 | | 16 | 6 | | 17 | 14 | | 18 | 4 | | 19 | 45 | | 20 | 27 | | 21 | 8 | | 22 | 54 | | 23 | 14 | | 24 | 20 | | 25 | 5 | | 26 | 2 | | 27 | 35 | | 28 | 21 |
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| 97.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 46 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 96 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 64 | | ratio | 0 | | matches | (empty) | |
| 99.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 544 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.03125 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.02022058823529412 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 11.98 | | std | 6.46 | | cv | 0.539 | | sampleLengths | | 0 | 4 | | 1 | 6 | | 2 | 17 | | 3 | 21 | | 4 | 24 | | 5 | 14 | | 6 | 21 | | 7 | 16 | | 8 | 15 | | 9 | 22 | | 10 | 13 | | 11 | 14 | | 12 | 18 | | 13 | 8 | | 14 | 12 | | 15 | 6 | | 16 | 26 | | 17 | 11 | | 18 | 9 | | 19 | 6 | | 20 | 11 | | 21 | 4 | | 22 | 5 | | 23 | 7 | | 24 | 6 | | 25 | 13 | | 26 | 4 | | 27 | 13 | | 28 | 22 | | 29 | 5 | | 30 | 7 | | 31 | 19 | | 32 | 14 | | 33 | 12 | | 34 | 18 | | 35 | 18 | | 36 | 1 | | 37 | 1 | | 38 | 20 | | 39 | 11 | | 40 | 18 | | 41 | 6 | | 42 | 10 | | 43 | 4 | | 44 | 4 | | 45 | 22 | | 46 | 9 | | 47 | 14 | | 48 | 16 | | 49 | 11 |
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| 90.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.578125 | | totalSentences | 64 | | uniqueOpeners | 37 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 43 | | matches | | 0 | "Instead, the dark liquid formed" |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 43 | | matches | | 0 | "His ankles were bound with" | | 1 | "She checked her watch, the" | | 2 | "It possessed an oily iridescence," | | 3 | "She reached into her trench" | | 4 | "It didn't smell like iron." | | 5 | "It smelled like crushed lavender" | | 6 | "It sounded like heavy boots" | | 7 | "She reached out, her gloved" | | 8 | "It was a small brass" | | 9 | "She flipped the lid open" |
| | ratio | 0.233 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 43 | | matches | | 0 | "Detective Harlow Quinn stepped over" | | 1 | "The air down here smelled" | | 2 | "A corpse dangled from a" | | 3 | "The man wore a bespoke" | | 4 | "His ankles were bound with" | | 5 | "Blood had pooled on the" | | 6 | "Detective Davies muttered, snapping a" | | 7 | "The flash strobed, briefly illuminating" | | 8 | "Quinn narrowed her eyes, her" | | 9 | "She checked her watch, the" | | 10 | "Davies said, lowering his camera" | | 11 | "Quinn pointed down" | | 12 | "The dead man's brogues were" | | 13 | "Davies sighed, adjusting his collar." | | 14 | "Quinn circled the pooling blood" | | 15 | "The liquid wasn't drying." | | 16 | "It possessed an oily iridescence," | | 17 | "She reached into her trench" | | 18 | "It didn't smell like iron." | | 19 | "It smelled like crushed lavender" |
| | ratio | 0.93 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "Instead, the dark liquid formed a jagged, perfect circle, soaking straight down into the concrete as if pulled by an unseen drain." | | 1 | "The metal casing grew searingly hot in Quinn's palm, forcing her to drop it onto the concrete with a sharp hiss." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Davies offered, though his tone lacked conviction" | | 1 | "Quinn whispered, her breath fogging in the chill air" |
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| 42.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "Detective Davies muttered (mutter)" | | 1 | "Davies warned (warn)" | | 2 | "Quinn whispered (whisper)" |
| | dialogueSentences | 28 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.375 | | effectiveRatio | 0.214 | |