| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1066 | | totalAiIsmAdverbs | 1 | | 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) | |
| 48.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1066 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "chill" | | 1 | "whisper" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "silence" | | 5 | "footsteps" | | 6 | "flickered" | | 7 | "perfect" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1066 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1031 | | uniqueNames | 9 | | maxNameDensity | 0.78 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Isolde | 4 | | Heartstone | 1 | | Pendant | 1 | | November | 2 | | Rory | 8 | | Richmond | 2 | | Park | 2 | | British | 1 | | Evan | 1 |
| | persons | | 0 | "Isolde" | | 1 | "Pendant" | | 2 | "November" | | 3 | "Rory" | | 4 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 8 | | matches | | 0 | "quite rain" | | 1 | "felt like neither hot nor cold, just wr" | | 2 | "something like meat left too long in a warm" | | 3 | "looked like it had been dragged by finger" | | 4 | "looked like something had tried to climb" | | 5 | "quite decided if it was solid" | | 6 | "quite touch" | | 7 | "looked like it belonged to her own world" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.938 | | wordCount | 1066 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 29.61 | | std | 24.04 | | cv | 0.812 | | sampleLengths | | 0 | 16 | | 1 | 53 | | 2 | 12 | | 3 | 80 | | 4 | 5 | | 5 | 65 | | 6 | 59 | | 7 | 5 | | 8 | 21 | | 9 | 47 | | 10 | 76 | | 11 | 7 | | 12 | 27 | | 13 | 1 | | 14 | 23 | | 15 | 11 | | 16 | 67 | | 17 | 11 | | 18 | 14 | | 19 | 62 | | 20 | 9 | | 21 | 3 | | 22 | 65 | | 23 | 21 | | 24 | 35 | | 25 | 13 | | 26 | 3 | | 27 | 45 | | 28 | 9 | | 29 | 2 | | 30 | 61 | | 31 | 23 | | 32 | 40 | | 33 | 37 | | 34 | 7 | | 35 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 185 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 78 | | ratio | 0 | | matches | (empty) | |
| 56.98% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1035 | | adjectiveStacks | 3 | | stackExamples | | 0 | "ancient grey oak-shaped monolith" | | 1 | "pale five-petaled thing" | | 2 | "Ordinary, unmarked, unmoving oak" |
| | adverbCount | 71 | | adverbRatio | 0.06859903381642513 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.01642512077294686 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.67 | | std | 12.07 | | cv | 0.883 | | sampleLengths | | 0 | 16 | | 1 | 21 | | 2 | 15 | | 3 | 14 | | 4 | 1 | | 5 | 2 | | 6 | 5 | | 7 | 7 | | 8 | 24 | | 9 | 56 | | 10 | 5 | | 11 | 18 | | 12 | 40 | | 13 | 7 | | 14 | 19 | | 15 | 2 | | 16 | 38 | | 17 | 5 | | 18 | 2 | | 19 | 1 | | 20 | 18 | | 21 | 8 | | 22 | 19 | | 23 | 20 | | 24 | 3 | | 25 | 29 | | 26 | 32 | | 27 | 12 | | 28 | 5 | | 29 | 2 | | 30 | 8 | | 31 | 19 | | 32 | 1 | | 33 | 16 | | 34 | 7 | | 35 | 2 | | 36 | 2 | | 37 | 7 | | 38 | 31 | | 39 | 16 | | 40 | 3 | | 41 | 17 | | 42 | 5 | | 43 | 6 | | 44 | 14 | | 45 | 42 | | 46 | 20 | | 47 | 4 | | 48 | 1 | | 49 | 4 |
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| 71.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4358974358974359 | | totalSentences | 78 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 64 | | matches | | 0 | "Just the tree line, black" | | 1 | "Only the hum answered, coming" |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 64 | | matches | | 0 | "She pulled her hand back" | | 1 | "she said, to nobody" | | 2 | "She stepped between the stones." | | 3 | "She glanced up twice to" | | 4 | "Her voice came out smaller" | | 5 | "She pressed on." | | 6 | "She counted three such trees" | | 7 | "They looked like something had" | | 8 | "It thrummed low in her" | | 9 | "She glanced down." | | 10 | "She kept it tucked beneath" | | 11 | "She crossed the clearing." | | 12 | "It was the sound of" | | 13 | "She'd heard silence like it" | | 14 | "She didn't turn around." | | 15 | "Her fingers closed around the" | | 16 | "She snapped it at the" | | 17 | "She looked down." |
| | ratio | 0.281 | |
| 45.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 64 | | matches | | 0 | "The standing stones marked the" | | 1 | "Rory pressed her palm against" | | 2 | "The sound came again, low" | | 3 | "She pulled her hand back" | | 4 | "she said, to nobody" | | 5 | "The Heartstone Pendant sat warm" | | 6 | "Isolde had been specific about" | | 7 | "She stepped between the stones." | | 8 | "The temperature dropped, then rose," | | 9 | "Wildflowers stretched in every direction," | | 10 | "Rory wrinkled her nose and" | | 11 | "The moon hung directly overhead," | | 12 | "She glanced up twice to" | | 13 | "A twig snapped behind her." | | 14 | "Her voice came out smaller" | | 15 | "She pressed on." | | 16 | "The path, if it could" | | 17 | "She counted three such trees" | | 18 | "They looked like something had" | | 19 | "Something rustled to her left." |
| | ratio | 0.828 | |
| 78.13% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 64 | | matches | | 0 | "If anything, it pulsed brighter," |
| | ratio | 0.016 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 6 | | matches | | 0 | "Rory pressed her palm against the nearest one, an ancient grey oak-shaped monolith slick with a moisture that wasn't quite rain." | | 1 | "The temperature dropped, then rose, then settled into something that felt like neither hot nor cold, just wrong." | | 2 | "Wildflowers stretched in every direction, purples and yellows that had no business blooming in the dead of British winter, and somewhere beneath the sweetness o…" | | 3 | "The moon hung directly overhead, too large, too close, its light falling in a colour that wasn't quite silver." | | 4 | "Rory picked up her pace, boots sinking slightly into ground that felt too soft, too giving, like walking across the surface of something that hadn't quite decid…" | | 5 | "Some animal part of her brain understood, with total clarity, that turning around was the wrong move." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |