| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1521 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "gently" | | 2 | "very" |
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| 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) | |
| 37.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1521 | | totalAiIsms | 19 | | found | | 0 | | word | "carried the weight" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "carried the weight" | | 1 | "measured" | | 2 | "mechanical" | | 3 | "familiar" | | 4 | "traced" | | 5 | "silence" | | 6 | "glint" | | 7 | "tension" | | 8 | "flicker" | | 9 | "warmth" | | 10 | "pulse" | | 11 | "chaotic" | | 12 | "flicked" | | 13 | "charged" |
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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 | 134 | | matches | (empty) | |
| 89.55% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 134 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1521 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1510 | | uniqueNames | 14 | | maxNameDensity | 0.73 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "You" | | discoveredNames | | Lucien | 11 | | Frenchman | 1 | | Eva | 3 | | Brick | 3 | | Lane | 3 | | You | 9 | | Welsh | 1 | | Ptolemy | 6 | | Marseille | 2 | | Sunday | 1 | | Avaros | 2 | | Thames | 1 | | Cardiff | 1 | | Aurora | 6 |
| | persons | | 0 | "Lucien" | | 1 | "Frenchman" | | 2 | "Eva" | | 3 | "You" | | 4 | "Ptolemy" | | 5 | "Aurora" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "Avaros" | | 4 | "Thames" | | 5 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 111 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite a smile, more a recognition of the fight still ahead" |
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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 | 1521 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 38.03 | | std | 19.96 | | cv | 0.525 | | sampleLengths | | 0 | 82 | | 1 | 43 | | 2 | 19 | | 3 | 1 | | 4 | 48 | | 5 | 28 | | 6 | 6 | | 7 | 61 | | 8 | 12 | | 9 | 32 | | 10 | 17 | | 11 | 26 | | 12 | 21 | | 13 | 45 | | 14 | 35 | | 15 | 61 | | 16 | 31 | | 17 | 51 | | 18 | 17 | | 19 | 43 | | 20 | 58 | | 21 | 32 | | 22 | 64 | | 23 | 39 | | 24 | 64 | | 25 | 56 | | 26 | 42 | | 27 | 52 | | 28 | 54 | | 29 | 7 | | 30 | 47 | | 31 | 58 | | 32 | 57 | | 33 | 53 | | 34 | 6 | | 35 | 55 | | 36 | 47 | | 37 | 5 | | 38 | 16 | | 39 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 249 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 134 | | ratio | 0.007 | | matches | | 0 | "Shoulder-length hair slipped free again; this time she tucked it behind one ear with an impatient swipe." |
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| 95.76% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 446 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.04484304932735426 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004484304932735426 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 11.35 | | std | 6.44 | | cv | 0.567 | | sampleLengths | | 0 | 6 | | 1 | 26 | | 2 | 19 | | 3 | 9 | | 4 | 22 | | 5 | 11 | | 6 | 19 | | 7 | 13 | | 8 | 6 | | 9 | 13 | | 10 | 1 | | 11 | 8 | | 12 | 15 | | 13 | 25 | | 14 | 9 | | 15 | 10 | | 16 | 9 | | 17 | 6 | | 18 | 6 | | 19 | 17 | | 20 | 11 | | 21 | 9 | | 22 | 18 | | 23 | 12 | | 24 | 2 | | 25 | 10 | | 26 | 10 | | 27 | 10 | | 28 | 8 | | 29 | 9 | | 30 | 10 | | 31 | 7 | | 32 | 9 | | 33 | 1 | | 34 | 4 | | 35 | 10 | | 36 | 6 | | 37 | 9 | | 38 | 7 | | 39 | 5 | | 40 | 14 | | 41 | 10 | | 42 | 5 | | 43 | 10 | | 44 | 9 | | 45 | 11 | | 46 | 19 | | 47 | 11 | | 48 | 12 | | 49 | 3 |
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| 52.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3283582089552239 | | totalSentences | 134 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 127 | | matches | | 0 | "Instead she stepped back once," | | 1 | "Instead you chose my friend’s" | | 2 | "Then I told you the" | | 3 | "Then you arrived on your" | | 4 | "Then you walked through it" | | 5 | "Only the space between their" | | 6 | "Then perhaps we stop collecting" |
| | ratio | 0.055 | |
| 87.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 127 | | matches | | 0 | "His ivory-handled cane rested easy" | | 1 | "She froze with her fingers" | | 2 | "Her straight black hair fell" | | 3 | "His fingers found the spot" | | 4 | "You don’t get to drop" | | 5 | "He closed the door behind" | | 6 | "She measured tea leaves into" | | 7 | "You could have phoned." | | 8 | "He accepted the mug when" | | 9 | "Their fingers met on the" | | 10 | "You traced this mark and" | | 11 | "I told you the truth" | | 12 | "She sat, knees drawn up," | | 13 | "You dropped the word demon" | | 14 | "Your father’s realm." | | 15 | "I needed a minute." | | 16 | "You gave me permanent silence." | | 17 | "He set the cane against" | | 18 | "I watched fear replace everything" | | 19 | "She laughed once, a dry" |
| | ratio | 0.331 | |
| 38.74% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 127 | | matches | | 0 | "Aurora slid back the final" | | 1 | "The door swung inward and" | | 2 | "His ivory-handled cane rested easy" | | 3 | "The curry steam from the" | | 4 | "She froze with her fingers" | | 5 | "Her straight black hair fell" | | 6 | "The small crescent scar on" | | 7 | "Lucien inclined his head a" | | 8 | "The motion sent the faintest" | | 9 | "The single word stayed trapped" | | 10 | "Ptolemy shot out from behind" | | 11 | "Lucien crouched without shifting his" | | 12 | "His fingers found the spot" | | 13 | "Ptolemy arched into the touch," | | 14 | "The kettle hissed on the" | | 15 | "Aurora turned sharply and crossed" | | 16 | "Every surface in Eva’s flat" | | 17 | "Scrolls spilled from the coffee" | | 18 | "A single lamp cast warm" | | 19 | "You don’t get to drop" |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 127 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 74 | | technicalSentenceCount | 3 | | matches | | 0 | "He stroked Ptolemy’s back with slow, deliberate passes that matched the tension coiling in the room." | | 1 | "Beneath it his heart answered, steady despite the demon half that should have made rhythm impossible." | | 2 | "Ptolemy flicked an ear but otherwise ignored the charged air thickening around the two humans who were anything but simple." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |