| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "Cerys looked around [around]" |
| | dialogueSentences | 66 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.056 | | effectiveRatio | 0.03 | |
| 96.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1283 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 92.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1283 | | totalAiIsms | 2 | | found | | | highlights | | |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1291 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 758 | | uniqueNames | 10 | | maxNameDensity | 2.24 | | worstName | "Cerys" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Cerys" | | discoveredNames | | Soho | 2 | | Rory | 16 | | Raven | 1 | | Nest | 1 | | Silas | 4 | | Cerys | 17 | | Roath | 1 | | Park | 1 | | Wardour | 1 | | Street | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Cerys" |
| | places | | 0 | "Soho" | | 1 | "Roath" | | 2 | "Park" | | 3 | "Wardour" | | 4 | "Street" |
| | globalScore | 0.379 | | windowScore | 0 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | 0 | "as though sitting down would be a commitment" |
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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 | 1291 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 18.18 | | std | 19.37 | | cv | 1.065 | | sampleLengths | | 0 | 57 | | 1 | 13 | | 2 | 5 | | 3 | 2 | | 4 | 30 | | 5 | 22 | | 6 | 4 | | 7 | 3 | | 8 | 75 | | 9 | 13 | | 10 | 25 | | 11 | 44 | | 12 | 13 | | 13 | 2 | | 14 | 28 | | 15 | 1 | | 16 | 46 | | 17 | 2 | | 18 | 25 | | 19 | 13 | | 20 | 54 | | 21 | 5 | | 22 | 30 | | 23 | 7 | | 24 | 3 | | 25 | 46 | | 26 | 8 | | 27 | 4 | | 28 | 3 | | 29 | 3 | | 30 | 36 | | 31 | 12 | | 32 | 3 | | 33 | 60 | | 34 | 20 | | 35 | 4 | | 36 | 2 | | 37 | 1 | | 38 | 11 | | 39 | 50 | | 40 | 6 | | 41 | 4 | | 42 | 53 | | 43 | 2 | | 44 | 13 | | 45 | 33 | | 46 | 6 | | 47 | 4 | | 48 | 5 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 131 | | matches | | 0 | "was drying" | | 1 | "was watching" | | 2 | "wasn’t pretending" | | 3 | "were walking" |
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| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 115 | | ratio | 0.043 | | matches | | 0 | "The bar smelled the way it always did — old varnish, lemon peel, the ghost of Silas’s pipe drifting out of the back room." | | 1 | "Not the way men watched — not the up-and-down." | | 2 | "“I found this place.” Cerys looked around — the maps, the black-and-white photographs, the man behind the bar who wasn’t pretending not to listen." | | 3 | "The scar on her wrist caught the light — that little crescent she’d had since she was nine, since the swing set in Roath Park, since she’d lied to her mother about how it happened." | | 4 | "Rory looked at her — the good coat, the wedding ring, the woman who had done every single thing they’d ever sworn they’d do, standing in a dim bar in Soho with a stranger in front of her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 757 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.02906208718626156 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002642007926023778 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 11.23 | | std | 10.53 | | cv | 0.938 | | sampleLengths | | 0 | 35 | | 1 | 6 | | 2 | 16 | | 3 | 9 | | 4 | 4 | | 5 | 5 | | 6 | 2 | | 7 | 14 | | 8 | 7 | | 9 | 9 | | 10 | 22 | | 11 | 4 | | 12 | 3 | | 13 | 25 | | 14 | 24 | | 15 | 26 | | 16 | 13 | | 17 | 3 | | 18 | 9 | | 19 | 3 | | 20 | 10 | | 21 | 3 | | 22 | 16 | | 23 | 3 | | 24 | 22 | | 25 | 13 | | 26 | 2 | | 27 | 7 | | 28 | 21 | | 29 | 1 | | 30 | 22 | | 31 | 18 | | 32 | 6 | | 33 | 2 | | 34 | 15 | | 35 | 10 | | 36 | 8 | | 37 | 5 | | 38 | 31 | | 39 | 23 | | 40 | 5 | | 41 | 24 | | 42 | 6 | | 43 | 7 | | 44 | 3 | | 45 | 16 | | 46 | 4 | | 47 | 26 | | 48 | 4 | | 49 | 4 |
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| 51.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.34782608695652173 | | totalSentences | 115 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 60 | | matches | | 0 | "Dark red coat, good wool," | | 1 | "Then the woman’s face did" |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 60 | | matches | | 0 | "He set the glass down" | | 1 | "His signet ring knocked against" | | 2 | "She dragged the towel over" | | 3 | "It took her a minute" | | 4 | "She was watching." | | 5 | "She stopped two stools away" | | 6 | "She tipped the wine glass" | | 7 | "He didn’t say anything." | | 8 | "He stood there for a" | | 9 | "It was cold and it" | | 10 | "She did it carefully, the" | | 11 | "She picked up the wine," | | 12 | "Her face had changed." |
| | ratio | 0.217 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 60 | | matches | | 0 | "The rain came off the" | | 1 | "Water ran off her in" | | 2 | "The green neon in the" | | 3 | "Silas looked up from a" | | 4 | "Nothing about him hurried." | | 5 | "He set the glass down" | | 6 | "His signet ring knocked against" | | 7 | "She dragged the towel over" | | 8 | "The bar smelled the way" | | 9 | "Maps covered the wall behind" | | 10 | "It took her a minute" | | 11 | "She was watching." | | 12 | "The other way." | | 13 | "The way you look at" | | 14 | "Rory looked back." | | 15 | "Hair pinned back." | | 16 | "A glass of white wine" | | 17 | "The voice landed like a" | | 18 | "Rory hadn’t heard it in" | | 19 | "The woman picked up her" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "Maps covered the wall behind her, half of them wrong now, countries that had changed their names twice since anyone had run a thumb over them." | | 1 | "Rory looked at her — the good coat, the wedding ring, the woman who had done every single thing they’d ever sworn they’d do, standing in a dim bar in Soho with …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 66 | | tagDensity | 0.121 | | leniency | 0.242 | | rawRatio | 0.125 | | effectiveRatio | 0.03 | |