| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1922 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 71.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1922 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "echo" | | 1 | "pulse" | | 2 | "quickened" | | 3 | "warmth" | | 4 | "churned" | | 5 | "pulsed" | | 6 | "raced" |
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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 | 218 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 218 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 223 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1922 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1909 | | uniqueNames | 13 | | maxNameDensity | 1.05 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Golden | 2 | | Empress | 2 | | Silas | 3 | | Rory | 20 | | London | 1 | | Thursday | 1 | | Monday | 1 | | Eva | 4 | | Please | 1 | | Three | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Please" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "London" |
| | globalScore | 0.976 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 150 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed unwise" | | 1 | "looked like oak bark" |
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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 | 1922 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 223 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 20.67 | | std | 14.67 | | cv | 0.71 | | sampleLengths | | 0 | 9 | | 1 | 38 | | 2 | 35 | | 3 | 6 | | 4 | 3 | | 5 | 34 | | 6 | 71 | | 7 | 41 | | 8 | 4 | | 9 | 34 | | 10 | 9 | | 11 | 14 | | 12 | 42 | | 13 | 1 | | 14 | 5 | | 15 | 11 | | 16 | 29 | | 17 | 5 | | 18 | 42 | | 19 | 5 | | 20 | 50 | | 21 | 8 | | 22 | 6 | | 23 | 36 | | 24 | 10 | | 25 | 18 | | 26 | 28 | | 27 | 13 | | 28 | 36 | | 29 | 12 | | 30 | 34 | | 31 | 3 | | 32 | 11 | | 33 | 5 | | 34 | 20 | | 35 | 35 | | 36 | 2 | | 37 | 6 | | 38 | 10 | | 39 | 2 | | 40 | 41 | | 41 | 11 | | 42 | 26 | | 43 | 28 | | 44 | 6 | | 45 | 28 | | 46 | 12 | | 47 | 50 | | 48 | 34 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 218 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 332 | | matches | | 0 | "was carrying" | | 1 | "was truly getting" | | 2 | "was calling" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 223 | | ratio | 0.004 | | matches | | 0 | "Her pulse raced; she forced herself to keep a steady pace." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1912 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar." |
| | adverbCount | 68 | | adverbRatio | 0.03556485355648536 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.006276150627615063 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 223 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 223 | | mean | 8.62 | | std | 4.91 | | cv | 0.569 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 22 | | 3 | 11 | | 4 | 15 | | 5 | 9 | | 6 | 6 | | 7 | 3 | | 8 | 4 | | 9 | 16 | | 10 | 2 | | 11 | 12 | | 12 | 19 | | 13 | 15 | | 14 | 20 | | 15 | 17 | | 16 | 13 | | 17 | 13 | | 18 | 15 | | 19 | 4 | | 20 | 8 | | 21 | 12 | | 22 | 14 | | 23 | 9 | | 24 | 10 | | 25 | 4 | | 26 | 4 | | 27 | 11 | | 28 | 15 | | 29 | 12 | | 30 | 1 | | 31 | 5 | | 32 | 11 | | 33 | 3 | | 34 | 8 | | 35 | 4 | | 36 | 14 | | 37 | 4 | | 38 | 1 | | 39 | 10 | | 40 | 9 | | 41 | 18 | | 42 | 5 | | 43 | 4 | | 44 | 1 | | 45 | 3 | | 46 | 8 | | 47 | 8 | | 48 | 15 | | 49 | 10 |
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| 46.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3004484304932735 | | totalSentences | 223 | | uniqueOpeners | 67 | |
| 97.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 205 | | matches | | 0 | "Even the traffic she’d heard" | | 1 | "Somewhere ahead of her, a" | | 2 | "Then the pendant pulsed." | | 3 | "Then, from behind her, in" | | 4 | "Twice her foot slid in" | | 5 | "Then Eva said her name," |
| | ratio | 0.029 | |
| 89.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 67 | | totalSentences | 205 | | matches | | 0 | "She stopped with one foot" | | 1 | "Her voice fell flat." | | 2 | "She had expected an echo," | | 3 | "It had never done that" | | 4 | "She had followed it on" | | 5 | "She ought to leave." | | 6 | "She could even see a" | | 7 | "She took out her phone" | | 8 | "She lifted the phone again" | | 9 | "She took one step backward." | | 10 | "She backed out between the" | | 11 | "She looked down." | | 12 | "Its faint red glow showed" | | 13 | "She drew it out by" | | 14 | "She had found the place." | | 15 | "She stopped and looked behind" | | 16 | "She could no longer make" | | 17 | "She checked her phone." | | 18 | "She had walked at least" | | 19 | "She waited, listening." |
| | ratio | 0.327 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 145 | | totalSentences | 205 | | matches | | 0 | "The grass inside the ring" | | 1 | "Rory noticed because her boots" | | 2 | "The soles had picked up" | | 3 | "She stopped with one foot" | | 4 | "The pendant warmed against her" | | 5 | "Her voice fell flat." | | 6 | "She had expected an echo," | | 7 | "An hour earlier, the Heartstone" | | 8 | "It had never done that" | | 9 | "The pulse had eased whenever" | | 10 | "She had followed it on" | | 11 | "She ought to leave." | | 12 | "Rory turned to look at" | | 13 | "She could even see a" | | 14 | "She took out her phone" | | 15 | "The stones were absent." | | 16 | "Rory lowered the phone." | | 17 | "She lifted the phone again" | | 18 | "She took one step backward." | | 19 | "Rory held still." |
| | ratio | 0.707 | |
| 97.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 205 | | matches | | 0 | "By the time she handed" | | 1 | "Now she could tell anyone" | | 2 | "Whoever was out there had" | | 3 | "Now she could see straight" |
| | ratio | 0.02 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 84 | | technicalSentenceCount | 1 | | matches | | 0 | "The smell reached her next: old varnish, laundry detergent, the oil that clung to her clothes after a shift at the Golden Empress." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |