| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 4 | | adverbTags | | 0 | "Eva glanced around [around]" | | 1 | "Eva said automatically [automatically]" | | 2 | "Eva looked almost [almost]" | | 3 | "she said finally [finally]" |
| | dialogueSentences | 129 | | tagDensity | 0.209 | | leniency | 0.419 | | rawRatio | 0.148 | | effectiveRatio | 0.062 | |
| 91.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2400 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "really" |
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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) | |
| 83.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2400 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "flickered" | | 1 | "racing" | | 2 | "lilt" | | 3 | "stomach" | | 4 | "silk" | | 5 | "dance" | | 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 | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 187 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 187 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 289 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2396 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 38 | | unquotedAttributions | 1 | | matches | | 0 | "Beyond its rain-streaked glass, London rushed on in blurred coats and umbrellas." |
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| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 125 | | wordCount | 1782 | | uniqueNames | 18 | | maxNameDensity | 2.75 | | worstName | "Eva" | | maxWindowNameDensity | 6 | | worstWindowName | "Eva" | | discoveredNames | | Soho | 1 | | Rory | 45 | | Raven | 1 | | Nest | 2 | | Silas | 11 | | Europe | 1 | | Morgan | 1 | | St | 1 | | Welsh | 1 | | London | 2 | | Eva | 49 | | Cardiff | 2 | | Golden | 1 | | Empress | 1 | | Newport | 1 | | Road | 1 | | Thursday | 1 | | Fine | 3 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Morgan" | | 3 | "Eva" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "Europe" | | 3 | "St" | | 4 | "London" | | 5 | "Cardiff" | | 6 | "Newport" | | 7 | "Road" |
| | globalScore | 0.125 | | windowScore | 0 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 112 | | glossingSentenceCount | 4 | | matches | | 0 | "not quite a smile, but Silas’s smiles rarely were" | | 1 | "as though waiting for someone to tell her whether she was allowed to exist there" | | 2 | "looked like a person who had spent years" | | 3 | "not quite from her stomach anymore, but with the same reckless edge" |
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| 33.06% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 1.669 | | wordCount | 2396 | | matches | | 0 | "not quite a smile, but Silas’s smiles rarely were" | | 1 | "not dramatically, not with the clean surprise Rory might have expected, but with something more private" | | 2 | "not with the clean surprise Rory might have expected, but with something more private" | | 3 | "not quite from her stomach anymore, but with the same reckless edge" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 289 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 180 | | mean | 13.31 | | std | 15.63 | | cv | 1.175 | | sampleLengths | | 0 | 17 | | 1 | 57 | | 2 | 59 | | 3 | 42 | | 4 | 4 | | 5 | 3 | | 6 | 9 | | 7 | 4 | | 8 | 18 | | 9 | 1 | | 10 | 31 | | 11 | 47 | | 12 | 67 | | 13 | 3 | | 14 | 14 | | 15 | 53 | | 16 | 11 | | 17 | 12 | | 18 | 3 | | 19 | 18 | | 20 | 47 | | 21 | 3 | | 22 | 4 | | 23 | 31 | | 24 | 1 | | 25 | 27 | | 26 | 3 | | 27 | 4 | | 28 | 3 | | 29 | 16 | | 30 | 13 | | 31 | 65 | | 32 | 49 | | 33 | 12 | | 34 | 4 | | 35 | 3 | | 36 | 3 | | 37 | 36 | | 38 | 43 | | 39 | 3 | | 40 | 35 | | 41 | 7 | | 42 | 12 | | 43 | 11 | | 44 | 45 | | 45 | 9 | | 46 | 2 | | 47 | 5 | | 48 | 1 | | 49 | 6 |
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| 95.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 187 | | matches | | 0 | "been redrawn" | | 1 | "was combed" | | 2 | "was allowed" | | 3 | "been spoken" | | 4 | "were wanted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 324 | | matches | | 0 | "was playing" | | 1 | "was sleeping" | | 2 | "was going" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 289 | | ratio | 0.007 | | matches | | 0 | "The woman was tall—taller than Rory had remembered anyone being—with close-cropped pale hair and a sharp, elegant face." | | 1 | "Then her eyes widened—not dramatically, not with the clean surprise Rory might have expected, but with something more private and more frightened." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1792 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 68 | | adverbRatio | 0.03794642857142857 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.011160714285714286 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 289 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 289 | | mean | 8.29 | | std | 7.62 | | cv | 0.919 | | sampleLengths | | 0 | 17 | | 1 | 21 | | 2 | 8 | | 3 | 8 | | 4 | 20 | | 5 | 28 | | 6 | 31 | | 7 | 20 | | 8 | 22 | | 9 | 4 | | 10 | 3 | | 11 | 9 | | 12 | 4 | | 13 | 6 | | 14 | 11 | | 15 | 1 | | 16 | 1 | | 17 | 9 | | 18 | 22 | | 19 | 16 | | 20 | 9 | | 21 | 22 | | 22 | 15 | | 23 | 13 | | 24 | 29 | | 25 | 10 | | 26 | 3 | | 27 | 14 | | 28 | 6 | | 29 | 18 | | 30 | 8 | | 31 | 21 | | 32 | 11 | | 33 | 12 | | 34 | 3 | | 35 | 18 | | 36 | 19 | | 37 | 1 | | 38 | 4 | | 39 | 23 | | 40 | 3 | | 41 | 4 | | 42 | 9 | | 43 | 22 | | 44 | 1 | | 45 | 13 | | 46 | 14 | | 47 | 3 | | 48 | 4 | | 49 | 3 |
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| 44.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.2560553633217993 | | totalSentences | 289 | | uniqueOpeners | 74 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 163 | | matches | | 0 | "Then she raised one hand" | | 1 | "Then her eyes widened—not dramatically," | | 2 | "Then she hesitated." | | 3 | "Instead Eva sat folded around" | | 4 | "Still large and dark and" | | 5 | "Just long enough." | | 6 | "Then the moment passed, because" | | 7 | "Then she touched her mug" |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 163 | | matches | | 0 | "She paused beneath the green" | | 1 | "His grey-streaked hair was combed" | | 2 | "His mouth moved beneath his" | | 3 | "It was not quite a" | | 4 | "He set the glass down," | | 5 | "His left leg gave its" | | 6 | "Her hair had darkened with" | | 7 | "She tucked it behind one" | | 8 | "It was early enough that" | | 9 | "She stood just inside the" | | 10 | "It landed inside her with" | | 11 | "They looked at each other" | | 12 | "She had painted her nails" | | 13 | "Her cheeks had been round" | | 14 | "She had laughed from her" | | 15 | "Her hair was nearly white" | | 16 | "Her coat fit too well." | | 17 | "She looked expensive and tired." | | 18 | "His hazel eyes rested briefly" | | 19 | "He had the tact of" |
| | ratio | 0.227 | |
| 33.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 139 | | totalSentences | 163 | | matches | | 0 | "The rain had polished Soho" | | 1 | "She paused beneath the green" | | 2 | "The sign buzzed weakly through" | | 3 | "Maps crowded the walls: Europe" | | 4 | "Silas stood behind the bar," | | 5 | "His grey-streaked hair was combed" | | 6 | "His mouth moved beneath his" | | 7 | "It was not quite a" | | 8 | "He set the glass down," | | 9 | "His left leg gave its" | | 10 | "Rory climbed onto the last" | | 11 | "Her hair had darkened with" | | 12 | "She tucked it behind one" | | 13 | "It was early enough that" | | 14 | "A man in a camel" | | 15 | "The jukebox was playing something" | | 16 | "The door opened." | | 17 | "A gust of rain entered" | | 18 | "Rory looked at her without" | | 19 | "The woman was tall—taller than" |
| | ratio | 0.853 | |
| 30.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 163 | | matches | | | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 4 | | matches | | 0 | "Silas stood behind the bar, polishing a tumbler with a cloth that had long ago surrendered any hope of cleanliness." | | 1 | "Two women in office clothes shared a bottle of wine and spoke in the careful, bright tones of colleagues who had not yet decided whether they liked each other." | | 2 | "They had always been moving: drawing in the margins of exercise books, stealing chips from Rory’s plate, making cigarettes dance between two fingers while she t…" | | 3 | "Instead Eva sat folded around her glass, pale hair glowing under the low lights, and looked like a person who had spent years rehearsing an apology she had neve…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 129 | | tagDensity | 0.147 | | leniency | 0.295 | | rawRatio | 0 | | effectiveRatio | 0 | |