| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "He moved further [further]" |
| | dialogueSentences | 45 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.067 | | effectiveRatio | 0.044 | |
| 81.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1057 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "completely" | | 2 | "quickly" | | 3 | "very" |
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| 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) | |
| 85.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1057 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "tension" |
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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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1063 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 754 | | uniqueNames | 12 | | maxNameDensity | 0.93 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 7 | | Eva | 2 | | Moreau | 1 | | Ptolemy | 4 | | Lucien | 5 | | Oxford | 1 | | Ms | 1 | | Carter | 1 | | Consulate | 1 | | Aldgate | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Lucien" | | 5 | "Ms" | | 6 | "Carter" |
| | places | | 0 | "Oxford" | | 1 | "Aldgate" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite a smile, not quite hurt, something that lived in the narrow space between" | | 1 | "not quite hurt, something that lived in the narrow space between" | | 2 | "Not quite an invitation, but he crossed the threshold anyway" | | 3 | "not quite grief, not quite relief" | | 4 | "not quite relief" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.822 | | wordCount | 1063 | | matches | | 0 | "Not quite an invitation, but he crossed the threshold anyway" | | 1 | "not just to Aldgate but to two other incidents she'd been nowhere near" | | 2 | "not defensively but because she needed something to do with her hands" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 93 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 19.33 | | std | 17.57 | | cv | 0.909 | | sampleLengths | | 0 | 49 | | 1 | 7 | | 2 | 64 | | 3 | 32 | | 4 | 6 | | 5 | 6 | | 6 | 31 | | 7 | 1 | | 8 | 12 | | 9 | 3 | | 10 | 17 | | 11 | 37 | | 12 | 12 | | 13 | 5 | | 14 | 11 | | 15 | 39 | | 16 | 16 | | 17 | 65 | | 18 | 13 | | 19 | 3 | | 20 | 43 | | 21 | 7 | | 22 | 5 | | 23 | 18 | | 24 | 18 | | 25 | 40 | | 26 | 6 | | 27 | 44 | | 28 | 3 | | 29 | 2 | | 30 | 9 | | 31 | 54 | | 32 | 1 | | 33 | 12 | | 34 | 22 | | 35 | 14 | | 36 | 23 | | 37 | 18 | | 38 | 27 | | 39 | 51 | | 40 | 5 | | 41 | 3 | | 42 | 5 | | 43 | 9 | | 44 | 27 | | 45 | 26 | | 46 | 2 | | 47 | 58 | | 48 | 22 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 88.89% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 120 | | matches | | 0 | "was actually reading" | | 1 | "was already moving" |
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| 19.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 93 | | ratio | 0.043 | | matches | | 0 | "He wore the charcoal suit — of course he did, he always wore the charcoal suit — though the collar of his shirt was open at the throat tonight, which was new." | | 1 | "Something shifted in his expression — not quite a smile, not quite hurt, something that lived in the narrow space between." | | 2 | "The name — her name, not a formal address, not Ms Carter — came out without ceremony, like he'd forgotten for a second to be careful with it." | | 3 | "Rory watched him reconstruct himself and felt something she couldn't name settle in her chest — not quite grief, not quite relief." |
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| 89.91% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 718 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.05153203342618384 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011142061281337047 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 11.43 | | std | 8.32 | | cv | 0.728 | | sampleLengths | | 0 | 23 | | 1 | 9 | | 2 | 17 | | 3 | 7 | | 4 | 32 | | 5 | 14 | | 6 | 9 | | 7 | 9 | | 8 | 32 | | 9 | 6 | | 10 | 6 | | 11 | 27 | | 12 | 4 | | 13 | 1 | | 14 | 12 | | 15 | 3 | | 16 | 7 | | 17 | 10 | | 18 | 21 | | 19 | 16 | | 20 | 12 | | 21 | 5 | | 22 | 7 | | 23 | 4 | | 24 | 5 | | 25 | 26 | | 26 | 4 | | 27 | 4 | | 28 | 6 | | 29 | 10 | | 30 | 32 | | 31 | 9 | | 32 | 24 | | 33 | 5 | | 34 | 8 | | 35 | 3 | | 36 | 26 | | 37 | 17 | | 38 | 7 | | 39 | 5 | | 40 | 18 | | 41 | 8 | | 42 | 10 | | 43 | 28 | | 44 | 12 | | 45 | 6 | | 46 | 5 | | 47 | 28 | | 48 | 11 | | 49 | 3 |
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| 59.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.40860215053763443 | | totalSentences | 93 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 40.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 58 | | matches | | 0 | "She'd been expecting Eva back" | | 1 | "He wore the charcoal suit" | | 2 | "His ivory-handled cane rested against" | | 3 | "His amber eye caught the" | | 4 | "He tilted his head slightly" | | 5 | "She didn't move" | | 6 | "He reached into his jacket" | | 7 | "He held it out" | | 8 | "She took the envelope." | | 9 | "Their fingers didn't touch." | | 10 | "She stepped back from the" | | 11 | "He moved further into the" | | 12 | "He turned from the shelf" | | 13 | "She broke the seal and" | | 14 | "It was worse than adjacent." | | 15 | "She looked up." | | 16 | "He crossed to the kitchen" | | 17 | "It was a strangely casual" | | 18 | "She folded the letter along" | | 19 | "He picked a loose thread" |
| | ratio | 0.448 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 58 | | matches | | 0 | "The third deadbolt gave the" | | 1 | "She'd been expecting Eva back" | | 2 | "Crisps, maybe a bottle of" | | 3 | "Lucien Moreau stood in the" | | 4 | "He wore the charcoal suit" | | 5 | "His ivory-handled cane rested against" | | 6 | "His amber eye caught the" | | 7 | "The black one gave nothing" | | 8 | "The word landed easy, unhurried," | | 9 | "Rory's hand stayed on the" | | 10 | "He tilted his head slightly" | | 11 | "Ptolemy squeezed past her ankles" | | 12 | "She didn't move" | | 13 | "Something shifted in his expression" | | 14 | "He reached into his jacket" | | 15 | "He held it out" | | 16 | "The admission sat between them." | | 17 | "Rory pulled in a slow" | | 18 | "She took the envelope." | | 19 | "Their fingers didn't touch." |
| | ratio | 0.948 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "Something shifted in his expression — not quite a smile, not quite hurt, something that lived in the narrow space between." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.089 | | leniency | 0.178 | | rawRatio | 0 | | effectiveRatio | 0 | |