| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 3 | | adverbTags | | 0 | "his hazel eyes hard [hard]" | | 1 | "Raymond laughed softly [softly]" | | 2 | "Raymond stood too [too]" |
| | dialogueSentences | 80 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.107 | | effectiveRatio | 0.075 | |
| 64.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 979 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "really" | | 1 | "carefully" | | 2 | "precisely" | | 3 | "slowly" | | 4 | "slightly" | | 5 | "softly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 28.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 979 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "shattered" | | 1 | "silence" | | 2 | "weight" | | 3 | "aftermath" | | 4 | "warmth" | | 5 | "flickered" | | 6 | "measured" | | 7 | "footsteps" | | 8 | "absolutely" | | 9 | "sanctuary" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 974 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 589 | | uniqueNames | 9 | | maxNameDensity | 1.53 | | worstName | "Raymond" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Raymond" | | discoveredNames | | Prague | 3 | | Eleanor | 7 | | Chen | 1 | | Vienna | 1 | | Lisbon | 1 | | Blackwoods | 1 | | Silas | 6 | | Footsteps | 1 | | Raymond | 9 |
| | persons | | 0 | "Eleanor" | | 1 | "Chen" | | 2 | "Blackwoods" | | 3 | "Silas" | | 4 | "Footsteps" | | 5 | "Raymond" |
| | places | | 0 | "Prague" | | 1 | "Vienna" | | 2 | "Lisbon" |
| | globalScore | 0.736 | | windowScore | 0.167 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 1 | | matches | | 0 | "Old habits apparently died harder than th" |
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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 | 974 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 13.72 | | std | 11.83 | | cv | 0.863 | | sampleLengths | | 0 | 24 | | 1 | 5 | | 2 | 30 | | 3 | 5 | | 4 | 22 | | 5 | 19 | | 6 | 15 | | 7 | 7 | | 8 | 2 | | 9 | 6 | | 10 | 4 | | 11 | 5 | | 12 | 2 | | 13 | 46 | | 14 | 6 | | 15 | 7 | | 16 | 36 | | 17 | 5 | | 18 | 2 | | 19 | 2 | | 20 | 20 | | 21 | 11 | | 22 | 32 | | 23 | 34 | | 24 | 1 | | 25 | 2 | | 26 | 19 | | 27 | 27 | | 28 | 15 | | 29 | 2 | | 30 | 13 | | 31 | 4 | | 32 | 3 | | 33 | 62 | | 34 | 9 | | 35 | 1 | | 36 | 17 | | 37 | 5 | | 38 | 7 | | 39 | 13 | | 40 | 2 | | 41 | 37 | | 42 | 13 | | 43 | 17 | | 44 | 14 | | 45 | 11 | | 46 | 30 | | 47 | 2 | | 48 | 16 | | 49 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 117 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 124 | | ratio | 0.008 | | matches | | 0 | "And the aftermath—the disappearance, the silence, the way he'd dropped off the grid and never looked back." |
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| 92.28% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 594 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.04882154882154882 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.018518518518518517 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 7.85 | | std | 5.74 | | cv | 0.73 | | sampleLengths | | 0 | 8 | | 1 | 16 | | 2 | 5 | | 3 | 3 | | 4 | 3 | | 5 | 17 | | 6 | 7 | | 7 | 5 | | 8 | 18 | | 9 | 4 | | 10 | 14 | | 11 | 5 | | 12 | 3 | | 13 | 12 | | 14 | 7 | | 15 | 2 | | 16 | 6 | | 17 | 4 | | 18 | 5 | | 19 | 2 | | 20 | 14 | | 21 | 8 | | 22 | 4 | | 23 | 7 | | 24 | 6 | | 25 | 7 | | 26 | 6 | | 27 | 7 | | 28 | 36 | | 29 | 5 | | 30 | 2 | | 31 | 2 | | 32 | 13 | | 33 | 7 | | 34 | 11 | | 35 | 25 | | 36 | 7 | | 37 | 5 | | 38 | 13 | | 39 | 5 | | 40 | 7 | | 41 | 4 | | 42 | 1 | | 43 | 2 | | 44 | 2 | | 45 | 8 | | 46 | 3 | | 47 | 6 | | 48 | 14 | | 49 | 8 |
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| 73.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4838709677419355 | | totalSentences | 124 | | uniqueOpeners | 60 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Somewhere in the back room," |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 65 | | matches | | 0 | "She hadn't moved." | | 1 | "He gestured at the bar," | | 2 | "She ran a finger along" | | 3 | "She looked at him then," | | 4 | "He'd become a monument to" | | 5 | "Her hair was cropped close" | | 6 | "She smiled, but it didn't" | | 7 | "She picked up the broken" | | 8 | "He'd stopped pretending years ago." | | 9 | "He was the last." | | 10 | "She'd developed a taste for" | | 11 | "He'd have to update his" | | 12 | "She drank in one swallow," | | 13 | "She turned the glass slowly" | | 14 | "He couldn't argue with that." | | 15 | "she said, but she didn't" | | 16 | "he repeated, and something in" | | 17 | "He poured two glasses of" | | 18 | "she repeated, though her body" |
| | ratio | 0.292 | |
| 6.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 65 | | matches | | 0 | "The glass shattered against the" | | 1 | "Whiskey dripped down the photograph" | | 2 | "She hadn't moved." | | 3 | "The Eleanor Chen he'd known" | | 4 | "He gestured at the bar," | | 5 | "She ran a finger along" | | 6 | "The silence stretched." | | 7 | "She looked at him then," | | 8 | "The grey-streaked auburn hair he'd" | | 9 | "The beard that matched." | | 10 | "The knee that ached when" | | 11 | "The limp that never fully" | | 12 | "He'd become a monument to" | | 13 | "Her hair was cropped close" | | 14 | "She smiled, but it didn't" | | 15 | "She picked up the broken" | | 16 | "He'd stopped pretending years ago." | | 17 | "The signet ring caught the" | | 18 | "Silver, worn smooth by decades." | | 19 | "He was the last." |
| | ratio | 0.908 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 2 | | matches | | 0 | "Her hair was cropped close to her skull now, practical, unrecognizable from the dark cascade that had tickled his collar in Vienna, in Lisbon, in that cramped f…" | | 1 | "The botched extraction, the intel that turned out to be a trap, the bullet that had grazed his knee and ended his career." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 2 | | matches | | 0 | "she repeated, though her body hadn't shifted from the stool" | | 1 | "Eleanor stood, her chair scraping against the floor" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "he repeated (repeat)" | | 1 | "she repeated (repeat)" | | 2 | "Raymond laughed softly (laugh)" |
| | dialogueSentences | 80 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0.3 | | effectiveRatio | 0.075 | |