| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 118 | | tagDensity | 0.203 | | leniency | 0.407 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2093 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "slowly" |
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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) | |
| 90.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2093 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "unsettled" | | 1 | "silence" | | 2 | "could feel" | | 3 | "familiar" |
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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 | 160 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 160 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 253 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2093 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 39 | | unquotedAttributions | 1 | | matches | | 0 | "Cardiff, a late call, Rory whispering in a bathroom with the tap running." |
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| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 105 | | wordCount | 1553 | | uniqueNames | 8 | | maxNameDensity | 2.9 | | worstName | "Rory" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 45 | | Soho | 2 | | Raven | 1 | | Nest | 1 | | Silas | 8 | | Eva | 41 | | Cardiff | 4 | | London | 3 |
| | persons | | 0 | "Rory" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Eva" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "Cardiff" | | 3 | "London" |
| | globalScore | 0.051 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 1 | | matches | | 0 | "as if inviting them to join in" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.478 | | wordCount | 2093 | | matches | | 0 | "not the same as trust, but it was not nothing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 253 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 145 | | mean | 14.43 | | std | 17.3 | | cv | 1.199 | | sampleLengths | | 0 | 88 | | 1 | 50 | | 2 | 18 | | 3 | 61 | | 4 | 7 | | 5 | 45 | | 6 | 3 | | 7 | 17 | | 8 | 1 | | 9 | 21 | | 10 | 6 | | 11 | 7 | | 12 | 4 | | 13 | 5 | | 14 | 5 | | 15 | 65 | | 16 | 13 | | 17 | 32 | | 18 | 9 | | 19 | 3 | | 20 | 22 | | 21 | 9 | | 22 | 25 | | 23 | 1 | | 24 | 5 | | 25 | 14 | | 26 | 18 | | 27 | 65 | | 28 | 7 | | 29 | 2 | | 30 | 3 | | 31 | 4 | | 32 | 11 | | 33 | 2 | | 34 | 5 | | 35 | 68 | | 36 | 6 | | 37 | 18 | | 38 | 3 | | 39 | 4 | | 40 | 18 | | 41 | 11 | | 42 | 2 | | 43 | 8 | | 44 | 87 | | 45 | 17 | | 46 | 8 | | 47 | 2 | | 48 | 15 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 160 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 292 | | matches | | 0 | "were waiting" | | 1 | "was polishing" | | 2 | "was following" | | 3 | "wasn’t asking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 253 | | ratio | 0.008 | | matches | | 0 | "She lived above the bar; the stairs were three paces behind her." | | 1 | "She knew the shape of a bruise without needing to touch it; knew the temptation to turn a hurt into evidence." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1556 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.03406169665809768 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.007069408740359897 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 253 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 253 | | mean | 8.27 | | std | 6.68 | | cv | 0.808 | | sampleLengths | | 0 | 18 | | 1 | 23 | | 2 | 10 | | 3 | 37 | | 4 | 7 | | 5 | 12 | | 6 | 18 | | 7 | 13 | | 8 | 3 | | 9 | 15 | | 10 | 10 | | 11 | 22 | | 12 | 29 | | 13 | 7 | | 14 | 20 | | 15 | 25 | | 16 | 3 | | 17 | 2 | | 18 | 8 | | 19 | 7 | | 20 | 1 | | 21 | 17 | | 22 | 4 | | 23 | 6 | | 24 | 7 | | 25 | 4 | | 26 | 5 | | 27 | 5 | | 28 | 16 | | 29 | 11 | | 30 | 27 | | 31 | 11 | | 32 | 5 | | 33 | 8 | | 34 | 21 | | 35 | 11 | | 36 | 3 | | 37 | 6 | | 38 | 3 | | 39 | 21 | | 40 | 1 | | 41 | 9 | | 42 | 19 | | 43 | 6 | | 44 | 1 | | 45 | 5 | | 46 | 14 | | 47 | 6 | | 48 | 8 | | 49 | 4 |
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| 43.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.233201581027668 | | totalSentences | 253 | | uniqueOpeners | 59 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 136 | | matches | | 0 | "Then it softened into something" | | 1 | "Once, in Cardiff, she had" | | 2 | "Then work began, and the" | | 3 | "Then Eva blinked, and the" | | 4 | "Instead she said," |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 136 | | matches | | 0 | "She stood at the bar" | | 1 | "She lived above the bar;" | | 2 | "It was hard to refuse" | | 3 | "She was in a charcoal" | | 4 | "She glanced toward the bar," | | 5 | "It was not the hair," | | 6 | "It was the way she" | | 7 | "He moved away with his" | | 8 | "It had gone from hot" | | 9 | "Her coat stayed buttoned." | | 10 | "She had carried it since" | | 11 | "She looked at the rain-dark" | | 12 | "You can stay with me." | | 13 | "They had only learned how" | | 14 | "They were still quick, still" | | 15 | "She knew the shape of" | | 16 | "She set her mug down" | | 17 | "It wasn’t a compliment." | | 18 | "She thought of the small" | | 19 | "His silver signet ring caught" |
| | ratio | 0.228 | |
| 48.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 136 | | matches | | 0 | "The rain had got into" | | 1 | "She stood at the bar" | | 2 | "Rory had meant to go" | | 3 | "She lived above the bar;" | | 4 | "It was hard to refuse" | | 5 | "The door opened." | | 6 | "A gust of damp air" | | 7 | "The woman who stepped inside" | | 8 | "She was in a charcoal" | | 9 | "She glanced toward the bar," | | 10 | "Rory knew her before she" | | 11 | "It was not the hair," | | 12 | "It was the way she" | | 13 | "Silas looked from one to" | | 14 | "The old exchange came easily," | | 15 | "Eva smiled, but it was" | | 16 | "Silas set the glass down." | | 17 | "He moved away with his" | | 18 | "Rory watched him go, grateful" | | 19 | "Eva came closer." |
| | ratio | 0.824 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 136 | | matches | | 0 | "Now she seemed to measure" | | 1 | "Now she waited." | | 2 | "To offer a reason, a" |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 2 | | matches | | 0 | "Eva’s gaze drifted over Rory’s black coat, the damp cuffs, the hands that had spent the day carrying orders through traffic and doorways." | | 1 | "In them Rory saw the same girl who had stood beside her in the schoolyard, furious on her behalf before Rory had even decided she was hurt." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 1 | | fancyTags | | 0 | "Rory repeated (repeat)" |
| | dialogueSentences | 118 | | tagDensity | 0.153 | | leniency | 0.305 | | rawRatio | 0.056 | | effectiveRatio | 0.017 | |