| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured around [around]" |
| | dialogueSentences | 53 | | tagDensity | 0.34 | | leniency | 0.679 | | rawRatio | 0.056 | | effectiveRatio | 0.038 | |
| 88.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1359 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "truly" | | 1 | "slowly" | | 2 | "softly" |
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| 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) | |
| 55.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1359 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "familiar" | | 1 | "scanning" | | 2 | "flicker" | | 3 | "weight" | | 4 | "lilt" | | 5 | "pulse" | | 6 | "facade" | | 7 | "silence" | | 8 | "perfect" | | 9 | "glinting" | | 10 | "echoed" |
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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 | 111 | | matches | (empty) | |
| 91.38% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 111 | | filterMatches | (empty) | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1353 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1072 | | uniqueNames | 9 | | maxNameDensity | 1.31 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Blackwood | 1 | | London | 2 | | Cardiff | 2 | | Silas | 14 | | Raven | 1 | | Nest | 1 | | Rory | 6 | | Evan | 8 |
| | persons | | 0 | "Carter" | | 1 | "Blackwood" | | 2 | "Silas" | | 3 | "Raven" | | 4 | "Nest" | | 5 | "Rory" | | 6 | "Evan" |
| | places | | | globalScore | 0.847 | | windowScore | 0.667 | |
| 81.51% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a physical blow" | | 1 | "coat that seemed to drink the light from the room" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.739 | | wordCount | 1353 | | matches | | 0 | "not anger, but a dawning, unsettling realisation" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 24.6 | | std | 19.42 | | cv | 0.79 | | sampleLengths | | 0 | 62 | | 1 | 28 | | 2 | 75 | | 3 | 10 | | 4 | 8 | | 5 | 2 | | 6 | 64 | | 7 | 27 | | 8 | 12 | | 9 | 15 | | 10 | 14 | | 11 | 2 | | 12 | 15 | | 13 | 31 | | 14 | 54 | | 15 | 12 | | 16 | 35 | | 17 | 37 | | 18 | 50 | | 19 | 4 | | 20 | 15 | | 21 | 4 | | 22 | 18 | | 23 | 7 | | 24 | 12 | | 25 | 39 | | 26 | 5 | | 27 | 33 | | 28 | 23 | | 29 | 4 | | 30 | 3 | | 31 | 39 | | 32 | 42 | | 33 | 7 | | 34 | 21 | | 35 | 9 | | 36 | 32 | | 37 | 6 | | 38 | 5 | | 39 | 4 | | 40 | 54 | | 41 | 20 | | 42 | 31 | | 43 | 58 | | 44 | 14 | | 45 | 2 | | 46 | 30 | | 47 | 15 | | 48 | 25 | | 49 | 39 |
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| 86.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 111 | | matches | | 0 | "was pulled" | | 1 | "were meant" | | 2 | "was gone" | | 3 | "been lost" | | 4 | "been gone" | | 5 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 189 | | matches | | 0 | "was wearing" | | 1 | "was wearing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 144 | | ratio | 0.007 | | matches | | 0 | "A flicker of something—surprise, recognition, a faint, weary triumph—crossed his face before it settled into a careful neutrality." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1078 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 29 | | adverbRatio | 0.026901669758812616 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.01020408163265306 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 9.4 | | std | 6.8 | | cv | 0.724 | | sampleLengths | | 0 | 21 | | 1 | 15 | | 2 | 26 | | 3 | 12 | | 4 | 14 | | 5 | 2 | | 6 | 3 | | 7 | 2 | | 8 | 24 | | 9 | 19 | | 10 | 2 | | 11 | 25 | | 12 | 10 | | 13 | 4 | | 14 | 3 | | 15 | 1 | | 16 | 2 | | 17 | 34 | | 18 | 4 | | 19 | 3 | | 20 | 18 | | 21 | 5 | | 22 | 5 | | 23 | 21 | | 24 | 1 | | 25 | 6 | | 26 | 6 | | 27 | 15 | | 28 | 11 | | 29 | 3 | | 30 | 2 | | 31 | 8 | | 32 | 5 | | 33 | 2 | | 34 | 8 | | 35 | 6 | | 36 | 11 | | 37 | 6 | | 38 | 13 | | 39 | 35 | | 40 | 6 | | 41 | 6 | | 42 | 6 | | 43 | 3 | | 44 | 20 | | 45 | 12 | | 46 | 10 | | 47 | 4 | | 48 | 12 | | 49 | 3 |
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| 41.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.3263888888888889 | | totalSentences | 144 | | uniqueOpeners | 47 | |
| 97.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 103 | | matches | | 0 | "Then he saw her." | | 1 | "Then the door swung shut," | | 2 | "Then the door to the" |
| | ratio | 0.029 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 103 | | matches | | 0 | "He merely glanced from the" | | 1 | "She didn’t answer." | | 2 | "It was the slight hunch" | | 3 | "she breathed, the name a" | | 4 | "His polishing slowed." | | 5 | "His step faltered." | | 6 | "He started towards the bar." | | 7 | "He placed the tumbler down" | | 8 | "He tried a smile" | | 9 | "It didn’t reach his eyes." | | 10 | "It was steadier than she" | | 11 | "She lowered her hand, brushing" | | 12 | "He took another step, ignoring" | | 13 | "He finally looked properly at" | | 14 | "It was just the three" | | 15 | "His voice had changed." | | 16 | "Her father’s voice." | | 17 | "She knew she didn’t." | | 18 | "Her black hair was pulled" | | 19 | "She was wearing a faded" |
| | ratio | 0.553 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 103 | | matches | | 0 | "The glass slipped from her" | | 1 | "Ice cubes skittered across the" | | 2 | "Aurora Carter didn’t move, her" | | 3 | "Silas Blackwood, polishing a tumbler" | | 4 | "He merely glanced from the" | | 5 | "She didn’t answer." | | 6 | "The man at the door" | | 7 | "It was the slight hunch" | | 8 | "A decade of London life," | | 9 | "she breathed, the name a" | | 10 | "Silas followed her gaze." | | 11 | "His polishing slowed." | | 12 | "Evan’s eyes adjusted to the" | | 13 | "His step faltered." | | 14 | "A flicker of something—surprise, recognition," | | 15 | "He started towards the bar." | | 16 | "Silas moved before she could." | | 17 | "He placed the tumbler down" | | 18 | "Evan stopped a few feet" | | 19 | "Evan’s eyes drifted past Silas" |
| | ratio | 0.961 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 103 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 1 | | matches | | 0 | "The man at the door shook the rain from his dark coat, his movements familiar in a way that felt like a physical blow." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 4 | | matches | | 0 | "she breathed, the name a ghost on her lips" | | 1 | "he said, his voice quieter now" | | 2 | "he said, not looking back" | | 3 | "he asked, his tone practical, devoid of pity" |
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| 93.40% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 3 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she corrected (correct)" | | 2 | "He spat (spit)" |
| | dialogueSentences | 53 | | tagDensity | 0.226 | | leniency | 0.453 | | rawRatio | 0.25 | | effectiveRatio | 0.113 | |