| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 3 | | adverbTags | | 0 | "She glanced around [around]" | | 1 | "She laughed again [again]" | | 2 | "she said softly [softly]" |
| | dialogueSentences | 84 | | tagDensity | 0.274 | | leniency | 0.548 | | rawRatio | 0.13 | | effectiveRatio | 0.071 | |
| 92.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1377 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 34.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1377 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "flicker" | | 1 | "gloom" | | 2 | "familiar" | | 3 | "flickered" | | 4 | "weight" | | 5 | "traced" | | 6 | "flicked" | | 7 | "echo" | | 8 | "depths" | | 9 | "trembled" | | 10 | "silence" | | 11 | "footsteps" | | 12 | "racing" | | 13 | "pulse" |
| |
| 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 | 160 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 160 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 220 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1361 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 65.17% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1002 | | uniqueNames | 11 | | maxNameDensity | 1.7 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Blackwood | 1 | | Warm | 1 | | Cardiff | 1 | | Silas | 17 | | Prague | 1 | | Carter | 1 | | Irish | 1 | | Polaroid | 1 | | Footsteps | 1 |
| | persons | | 0 | "Raven" | | 1 | "Blackwood" | | 2 | "Silas" | | 3 | "Carter" |
| | places | | | globalScore | 0.652 | | windowScore | 0.667 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 2 | | matches | | 0 | "as if holding its breath" | | 1 | "as if preparing for battle" |
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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 | 1361 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 220 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 88 | | mean | 15.47 | | std | 10.31 | | cv | 0.667 | | sampleLengths | | 0 | 40 | | 1 | 1 | | 2 | 48 | | 3 | 10 | | 4 | 23 | | 5 | 5 | | 6 | 20 | | 7 | 26 | | 8 | 18 | | 9 | 24 | | 10 | 14 | | 11 | 31 | | 12 | 13 | | 13 | 17 | | 14 | 14 | | 15 | 41 | | 16 | 8 | | 17 | 22 | | 18 | 11 | | 19 | 10 | | 20 | 16 | | 21 | 11 | | 22 | 9 | | 23 | 6 | | 24 | 15 | | 25 | 28 | | 26 | 11 | | 27 | 28 | | 28 | 19 | | 29 | 14 | | 30 | 8 | | 31 | 8 | | 32 | 7 | | 33 | 9 | | 34 | 15 | | 35 | 24 | | 36 | 9 | | 37 | 7 | | 38 | 30 | | 39 | 4 | | 40 | 21 | | 41 | 5 | | 42 | 13 | | 43 | 30 | | 44 | 5 | | 45 | 11 | | 46 | 12 | | 47 | 10 | | 48 | 5 | | 49 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 217 | | matches | (empty) | |
| 77.92% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 220 | | ratio | 0.023 | | matches | | 0 | "Life’s trajectory—random, jagged." | | 1 | "A laugh—hard, hollow—escaped her." | | 2 | "He glanced at her—her name, Carter, conjured ghosts." | | 3 | "She’d carried that belief with her—until it broke." | | 4 | "Vandermeer’s name glowed in red ink—an alias." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 433 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.03233256351039261 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0023094688221709007 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 220 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 220 | | mean | 6.19 | | std | 4.19 | | cv | 0.677 | | sampleLengths | | 0 | 10 | | 1 | 18 | | 2 | 2 | | 3 | 2 | | 4 | 8 | | 5 | 1 | | 6 | 8 | | 7 | 14 | | 8 | 26 | | 9 | 4 | | 10 | 5 | | 11 | 1 | | 12 | 6 | | 13 | 6 | | 14 | 11 | | 15 | 5 | | 16 | 15 | | 17 | 5 | | 18 | 8 | | 19 | 9 | | 20 | 2 | | 21 | 7 | | 22 | 18 | | 23 | 5 | | 24 | 5 | | 25 | 12 | | 26 | 2 | | 27 | 9 | | 28 | 5 | | 29 | 6 | | 30 | 10 | | 31 | 7 | | 32 | 8 | | 33 | 8 | | 34 | 5 | | 35 | 2 | | 36 | 5 | | 37 | 9 | | 38 | 1 | | 39 | 10 | | 40 | 4 | | 41 | 8 | | 42 | 10 | | 43 | 20 | | 44 | 3 | | 45 | 8 | | 46 | 3 | | 47 | 12 | | 48 | 5 | | 49 | 2 |
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| 58.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.35454545454545455 | | totalSentences | 220 | | uniqueOpeners | 78 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 128 | | matches | | 0 | "Then a single voice cut" | | 1 | "Then the shelf swung back" | | 2 | "Then he straightened." | | 3 | "Then everything went black as" |
| | ratio | 0.031 | |
| 1.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 70 | | totalSentences | 128 | | matches | | 0 | "She froze mid-step, a half-full" | | 1 | "She blinked, the familiar rasp" | | 2 | "His hazel eyes flickered with" | | 3 | "Her voice cracked" | | 4 | "She almost dropped the glass." | | 5 | "He caught it with one" | | 6 | "He kept that steady calm," | | 7 | "She stared at his lined" | | 8 | "She accepted the glass" | | 9 | "She flexed her fingers around" | | 10 | "He set a fresh one" | | 11 | "She glanced around" | | 12 | "She searched for something kinder" | | 13 | "He traced the rim with" | | 14 | "She touched her wrist, felt" | | 15 | "She’d fled an abusive ex," | | 16 | "she said, trying for casual" | | 17 | "He never took that off." | | 18 | "She flicked a strand back" | | 19 | "He studied the ring." |
| | ratio | 0.547 | |
| 10.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 128 | | matches | | 0 | "She froze mid-step, a half-full" | | 1 | "The neon green sign above" | | 2 | "She blinked, the familiar rasp" | | 3 | "Silas Blackwood stood behind the" | | 4 | "His hazel eyes flickered with" | | 5 | "Her voice cracked" | | 6 | "She almost dropped the glass." | | 7 | "He caught it with one" | | 8 | "The liquid sloshed but didn’t" | | 9 | "He kept that steady calm," | | 10 | "She stared at his lined" | | 11 | "A pause so thick they" | | 12 | "Silas asked, carefully pouring her" | | 13 | "She accepted the glass" | | 14 | "She flexed her fingers around" | | 15 | "He set a fresh one" | | 16 | "She glanced around" | | 17 | "The walls were still lined" | | 18 | "Shadows scuttled across them like" | | 19 | "Silas let the cork thud" |
| | ratio | 0.898 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 128 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "She laughed again (laugh)" | | 1 | "He whispered (whisper)" |
| | dialogueSentences | 84 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.167 | | effectiveRatio | 0.048 | |