| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.156 | | leniency | 0.313 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1462 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 58.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1462 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "silence" | | 2 | "crystal" | | 3 | "flickered" | | 4 | "reminder" | | 5 | "warmth" |
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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 | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1461 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 28.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1032 | | uniqueNames | 10 | | maxNameDensity | 2.42 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Golden | 1 | | Empress | 1 | | Eva | 19 | | Rory | 25 | | Cardiff | 3 | | Silas | 8 | | University | 1 | | Central | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Silas" |
| | places | | | globalScore | 0.289 | | windowScore | 0.333 | |
| 77.54% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 2 | | matches | | 0 | "as if bracing against a wind that blew only for her" | | 1 | "something like scar tissue" |
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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 | 1461 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 25.19 | | std | 27.97 | | cv | 1.11 | | sampleLengths | | 0 | 155 | | 1 | 41 | | 2 | 112 | | 3 | 1 | | 4 | 19 | | 5 | 2 | | 6 | 41 | | 7 | 13 | | 8 | 10 | | 9 | 7 | | 10 | 71 | | 11 | 22 | | 12 | 7 | | 13 | 68 | | 14 | 17 | | 15 | 2 | | 16 | 79 | | 17 | 30 | | 18 | 13 | | 19 | 2 | | 20 | 11 | | 21 | 51 | | 22 | 10 | | 23 | 27 | | 24 | 36 | | 25 | 6 | | 26 | 6 | | 27 | 12 | | 28 | 5 | | 29 | 23 | | 30 | 24 | | 31 | 6 | | 32 | 13 | | 33 | 60 | | 34 | 34 | | 35 | 19 | | 36 | 5 | | 37 | 4 | | 38 | 38 | | 39 | 41 | | 40 | 54 | | 41 | 12 | | 42 | 23 | | 43 | 20 | | 44 | 4 | | 45 | 41 | | 46 | 12 | | 47 | 1 | | 48 | 5 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 98 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 183 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 125 | | ratio | 0.008 | | matches | | 0 | "But it was her eyes that struck Rory—hazel, narrowed now, guarded, carrying a weight that had not been there in Cardiff." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1037 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.01639344262295082 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0019286403085824494 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 11.69 | | std | 9.02 | | cv | 0.772 | | sampleLengths | | 0 | 11 | | 1 | 27 | | 2 | 20 | | 3 | 17 | | 4 | 19 | | 5 | 18 | | 6 | 28 | | 7 | 15 | | 8 | 3 | | 9 | 11 | | 10 | 5 | | 11 | 11 | | 12 | 11 | | 13 | 18 | | 14 | 3 | | 15 | 25 | | 16 | 28 | | 17 | 17 | | 18 | 21 | | 19 | 1 | | 20 | 5 | | 21 | 4 | | 22 | 10 | | 23 | 2 | | 24 | 3 | | 25 | 10 | | 26 | 11 | | 27 | 17 | | 28 | 13 | | 29 | 10 | | 30 | 7 | | 31 | 7 | | 32 | 8 | | 33 | 14 | | 34 | 10 | | 35 | 9 | | 36 | 23 | | 37 | 22 | | 38 | 7 | | 39 | 14 | | 40 | 13 | | 41 | 41 | | 42 | 5 | | 43 | 12 | | 44 | 2 | | 45 | 6 | | 46 | 9 | | 47 | 12 | | 48 | 6 | | 49 | 10 |
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| 41.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.248 | | totalSentences | 125 | | uniqueOpeners | 31 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | 0 | "Then came the click of" |
| | ratio | 0.011 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 95 | | matches | | 0 | "She wore a faded Golden" | | 1 | "Her black hair hung straight" | | 2 | "She held a pint glass" | | 3 | "She heard the bell chime," | | 4 | "She had changed." | | 5 | "Her hair, once a wild" | | 6 | "She wore cracked leather gloves" | | 7 | "She turned on the stool," | | 8 | "She closed the door behind" | | 9 | "She walked to the bar," | | 10 | "She stopped two feet away," | | 11 | "She leaned forward, elbows on" | | 12 | "His hazel eyes, pale and" | | 13 | "He reached for a tumbler," | | 14 | "She lowered it, but the" | | 15 | "She turned it in her" | | 16 | "Her gloved fingers were clumsy," | | 17 | "She pulled out a photograph," | | 18 | "She slid it across the" | | 19 | "It landed in front of" |
| | ratio | 0.4 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 95 | | matches | | 0 | "The Raven's Nest smelled of" | | 1 | "A saxophone wept from the" | | 2 | "Rory sat on a chrome" | | 3 | "She wore a faded Golden" | | 4 | "Her black hair hung straight" | | 5 | "She held a pint glass" | | 6 | "The crescent scar on her" | | 7 | "The door opened." | | 8 | "Wind rushed in, carrying rain" | | 9 | "Rory did not look up." | | 10 | "She heard the bell chime," | | 11 | "Eva stood in the doorway," | | 12 | "She had changed." | | 13 | "Rory saw it in the" | | 14 | "Her hair, once a wild" | | 15 | "She wore cracked leather gloves" | | 16 | "Rory set the glass down." | | 17 | "The rag hung limp." | | 18 | "She turned on the stool," | | 19 | "Eva's mouth twitched." |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "Her black hair hung straight and heavy to her shoulders, framing a face that had lost its softness." | | 1 | "Rory saw it in the way Eva held her shoulders, pulled up and tight, as if bracing against a wind that blew only for her." | | 2 | "Her hair, once a wild cascade of auburn that tumbled past her shoulders, was scraped back into a severe bun that exposed the sharp angles of her face." | | 3 | "Outside, the green neon sign flickered, buzzing, casting shadows that danced across the maps on the wall." | | 4 | "She thought of the night she left, the train pulling away from Cardiff Central, Eva's hand waving until the platform disappeared into the dark." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 32 | | tagDensity | 0.031 | | leniency | 0.063 | | rawRatio | 1 | | effectiveRatio | 0.063 | |