| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1315 | | totalAiIsmAdverbs | 1 | | 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) | |
| 73.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1315 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "scanned" | | 1 | "echoed" | | 2 | "warmth" | | 3 | "weight" | | 4 | "silence" | | 5 | "flickered" | | 6 | "traced" |
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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 | 256 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 256 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 256 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 19 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1311 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 85 | | wordCount | 1311 | | uniqueNames | 14 | | maxNameDensity | 1.83 | | worstName | "Silas" | | maxWindowNameDensity | 4.5 | | worstWindowName | "You" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 3 | | Blackwood | 1 | | English | 1 | | Channel | 1 | | Cardiff | 2 | | Empress | 1 | | Evan | 2 | | Rory | 3 | | Prague | 2 | | Silas | 24 | | Aurora | 22 | | You | 21 |
| | persons | | 0 | "Nest" | | 1 | "Blackwood" | | 2 | "Evan" | | 3 | "Rory" | | 4 | "Silas" | | 5 | "Aurora" | | 6 | "You" |
| | places | | 0 | "Raven" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Prague" |
| | globalScore | 0.585 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a laugh but lacked humour" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1311 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 256 | | matches | | 0 | "say that like" | | 1 | "keep that matters" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 137 | | mean | 9.57 | | std | 11.39 | | cv | 1.19 | | sampleLengths | | 0 | 79 | | 1 | 63 | | 2 | 7 | | 3 | 40 | | 4 | 22 | | 5 | 22 | | 6 | 3 | | 7 | 13 | | 8 | 3 | | 9 | 2 | | 10 | 1 | | 11 | 28 | | 12 | 6 | | 13 | 2 | | 14 | 5 | | 15 | 14 | | 16 | 5 | | 17 | 22 | | 18 | 13 | | 19 | 3 | | 20 | 7 | | 21 | 23 | | 22 | 2 | | 23 | 12 | | 24 | 21 | | 25 | 2 | | 26 | 2 | | 27 | 21 | | 28 | 5 | | 29 | 3 | | 30 | 2 | | 31 | 3 | | 32 | 14 | | 33 | 9 | | 34 | 4 | | 35 | 6 | | 36 | 7 | | 37 | 5 | | 38 | 4 | | 39 | 7 | | 40 | 27 | | 41 | 3 | | 42 | 2 | | 43 | 2 | | 44 | 27 | | 45 | 4 | | 46 | 10 | | 47 | 3 | | 48 | 2 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 256 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 260 | | matches | | 0 | "were hiding" | | 1 | "were recovering" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 256 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1316 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 25 | | adverbRatio | 0.018996960486322188 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0022796352583586625 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 256 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 256 | | mean | 5.12 | | std | 2.74 | | cv | 0.536 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 12 | | 3 | 12 | | 4 | 10 | | 5 | 12 | | 6 | 4 | | 7 | 7 | | 8 | 13 | | 9 | 11 | | 10 | 14 | | 11 | 14 | | 12 | 3 | | 13 | 4 | | 14 | 4 | | 15 | 6 | | 16 | 7 | | 17 | 8 | | 18 | 7 | | 19 | 8 | | 20 | 11 | | 21 | 11 | | 22 | 7 | | 23 | 7 | | 24 | 8 | | 25 | 3 | | 26 | 7 | | 27 | 6 | | 28 | 3 | | 29 | 2 | | 30 | 1 | | 31 | 5 | | 32 | 7 | | 33 | 5 | | 34 | 11 | | 35 | 6 | | 36 | 2 | | 37 | 5 | | 38 | 4 | | 39 | 5 | | 40 | 5 | | 41 | 5 | | 42 | 2 | | 43 | 10 | | 44 | 10 | | 45 | 7 | | 46 | 6 | | 47 | 3 | | 48 | 7 | | 49 | 5 |
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| 37.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 31 | | diversityRatio | 0.2265625 | | totalSentences | 256 | | uniqueOpeners | 58 | |
| 30.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 216 | | matches | | 0 | "Only one customer sat at" | | 1 | "Then at Silas." |
| | ratio | 0.009 | |
| 10.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 113 | | totalSentences | 216 | | matches | | 0 | "He wore a waistcoat over" | | 1 | "He looked up." | | 2 | "Her boots clicked against the" | | 3 | "She stopped two stools away" | | 4 | "He studied her face, his" | | 5 | "He poured two fingers into" | | 6 | "He slid it across the" | | 7 | "You look different." | | 8 | "His weight shifted to his" | | 9 | "He rubbed his thumb over" | | 10 | "You left without saying goodbye." | | 11 | "She set the glass down." | | 12 | "He looked at the maps" | | 13 | "His gaze lingered on a" | | 14 | "She didn't say you were" | | 15 | "I'm not hiding." | | 16 | "You walk like someone checking" | | 17 | "She faced the room." | | 18 | "He raised the glass but" | | 19 | "You studied law." |
| | ratio | 0.523 | |
| 6.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 196 | | totalSentences | 216 | | matches | | 0 | "Aurora pushed open the heavy" | | 1 | "Water dripped from the hem" | | 2 | "The air inside smelled of" | | 3 | "Maps covered the walls, their" | | 4 | "Aurora scanned the room." | | 5 | "Silas Blackwood wiped a glass" | | 6 | "The grey streaks in his" | | 7 | "He wore a waistcoat over" | | 8 | "A silver signet ring glinted" | | 9 | "He looked up." | | 10 | "The rag stopped moving." | | 11 | "Aurora walked toward him." | | 12 | "Her boots clicked against the" | | 13 | "She stopped two stools away" | | 14 | "Silas set the glass down" | | 15 | "The clink echoed in the" | | 16 | "He studied her face, his" | | 17 | "Aurora tucked a strand of" | | 18 | "The movement exposed the small" | | 19 | "Silas reached for a bottle" |
| | ratio | 0.907 | |
| 23.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 216 | | matches | | 0 | "Because you're safe here." |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |