| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 9 | | adverbTags | | 0 | "he conceded quickly [quickly]" | | 1 | "Eva said abruptly [abruptly]" | | 2 | "he said carefully [carefully]" | | 3 | "He gestured vaguely [vaguely]" | | 4 | "Eva continued softly [softly]" | | 5 | "She laughed humorlessly [humorlessly]" | | 6 | "Rory said suddenly [suddenly]" | | 7 | "he confirmed softly [softly]" | | 8 | "weight truth clutched tightly [tightly]" |
| | dialogueSentences | 53 | | tagDensity | 0.472 | | leniency | 0.943 | | rawRatio | 0.36 | | effectiveRatio | 0.34 | |
| 32.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1845 | | totalAiIsmAdverbs | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | adverb | "deliberately" | | count | 1 |
|
| | highlights | | 0 | "quickly" | | 1 | "slowly" | | 2 | "suddenly" | | 3 | "carefully" | | 4 | "softly" | | 5 | "slightly" | | 6 | "really" | | 7 | "very" | | 8 | "completely" | | 9 | "tightly" | | 10 | "deliberately" |
| |
| 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) | |
| 45.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1845 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "carried the weight" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "familiar" | | 1 | "silence" | | 2 | "comfortable" | | 3 | "chaotic" | | 4 | "tension" | | 5 | "warmth" | | 6 | "navigated" | | 7 | "intensity" | | 8 | "electric" | | 9 | "weight" | | 10 | "carried the weight" | | 11 | "fractured" | | 12 | "perfect" | | 13 | "shimmered" | | 14 | "unspoken" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 124 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1852 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1233 | | uniqueNames | 10 | | maxNameDensity | 0.97 | | worstName | "Eva" | | maxWindowNameDensity | 3 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 12 | | Ptolemy | 2 | | Rory | 10 | | Tiny | 1 | | White-faced | 1 | | Truth | 1 | | Mug | 1 | | London | 2 | | Elizabeth | 1 | | Repairing | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Rory" | | 3 | "Truth" | | 4 | "Mug" | | 5 | "Elizabeth" |
| | places | | | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1852 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 37.8 | | std | 30.16 | | cv | 0.798 | | sampleLengths | | 0 | 55 | | 1 | 17 | | 2 | 53 | | 3 | 1 | | 4 | 21 | | 5 | 60 | | 6 | 30 | | 7 | 23 | | 8 | 18 | | 9 | 44 | | 10 | 20 | | 11 | 31 | | 12 | 18 | | 13 | 31 | | 14 | 9 | | 15 | 6 | | 16 | 54 | | 17 | 28 | | 18 | 40 | | 19 | 24 | | 20 | 44 | | 21 | 41 | | 22 | 41 | | 23 | 30 | | 24 | 26 | | 25 | 40 | | 26 | 12 | | 27 | 49 | | 28 | 18 | | 29 | 31 | | 30 | 16 | | 31 | 82 | | 32 | 26 | | 33 | 38 | | 34 | 49 | | 35 | 14 | | 36 | 12 | | 37 | 30 | | 38 | 34 | | 39 | 18 | | 40 | 30 | | 41 | 46 | | 42 | 11 | | 43 | 37 | | 44 | 188 | | 45 | 67 | | 46 | 43 | | 47 | 89 | | 48 | 107 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 231 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 98 | | ratio | 0.061 | | matches | | 0 | "The tabby cat Ptolemy uncurled himself from an armchair – a throaty protest rumbling from his chest at the intrusion – before maneuvering with practiced grace between the obstacles and padding toward the door." | | 1 | "Their fingers brushed as he accepted the brew, and Rory felt something electric pass between them – a collision of comfort and conflict that had always bubbled beneath their surface interactions." | | 2 | "Rory sank into the chair opposite – it groaned under his weight, an octogenarian's protestation about guests." | | 3 | "Tiny steam clouds dissipated around her face – a temporary mist around an inescapable fire." | | 4 | "Distant sirens sang a melancholic refrain against night windows, and time seemed to compress within Eva's cluttered flat – every research scribble and astrological chart witness to their fractured history." | | 5 | "The blade, concealed within, gleamed dully in the lamplight – a perfect, dangerous crescent." |
| |
| 34.21% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1288 | | adjectiveStacks | 2 | | stackExamples | | 0 | "ordinary unnecessary free space" | | 1 | "needing difficult ordinary needed, becoming" |
| | adverbCount | 100 | | adverbRatio | 0.07763975155279502 | | lyAdverbCount | 58 | | lyAdverbRatio | 0.04503105590062112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 18.9 | | std | 18.06 | | cv | 0.955 | | sampleLengths | | 0 | 17 | | 1 | 24 | | 2 | 14 | | 3 | 17 | | 4 | 5 | | 5 | 14 | | 6 | 34 | | 7 | 1 | | 8 | 21 | | 9 | 25 | | 10 | 17 | | 11 | 18 | | 12 | 13 | | 13 | 17 | | 14 | 6 | | 15 | 17 | | 16 | 10 | | 17 | 8 | | 18 | 19 | | 19 | 25 | | 20 | 10 | | 21 | 10 | | 22 | 31 | | 23 | 13 | | 24 | 5 | | 25 | 15 | | 26 | 16 | | 27 | 5 | | 28 | 4 | | 29 | 6 | | 30 | 10 | | 31 | 25 | | 32 | 19 | | 33 | 17 | | 34 | 10 | | 35 | 1 | | 36 | 13 | | 37 | 12 | | 38 | 15 | | 39 | 24 | | 40 | 21 | | 41 | 23 | | 42 | 9 | | 43 | 32 | | 44 | 31 | | 45 | 10 | | 46 | 20 | | 47 | 10 | | 48 | 17 | | 49 | 9 |
| |
| 80.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5 | | totalSentences | 98 | | uniqueOpeners | 49 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Sorely pricks needing gilded re-stitch" |
| | ratio | 0.014 | |
| 71.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 70 | | matches | | 0 | "Her voice, once a comfortable" | | 1 | "Her red hair was pulled" | | 2 | "he conceded quickly, his knuckles" | | 3 | "He trailed off, the excuse" | | 4 | "He exhaled slowly, shoving one" | | 5 | "she countered, disappearing around a" | | 6 | "His lips curved despite everything." | | 7 | "he said carefully" | | 8 | "He gestured vaguely" | | 9 | "he snapped, reaching for his" | | 10 | "she corrected, handing him the" | | 11 | "Their fingers brushed as he" | | 12 | "she shot back, finally breaking" | | 13 | "he found himself saying, tracking" | | 14 | "Her shoulders lifted, a subtle," | | 15 | "She put her own cup" | | 16 | "She sounded low, soft thor" | | 17 | "Her hands go into her" | | 18 | "she continued, sounding suddenly professional" | | 19 | "Her gaze softened, though her" |
| | ratio | 0.371 | |
| 38.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 70 | | matches | | 0 | "The third deadbolt clicked open," | | 1 | "The overhead light cast long" | | 2 | "The sharp tang of old" | | 3 | "The words fell into silence." | | 4 | "The tabby cat Ptolemy uncurled" | | 5 | "Her voice, once a comfortable" | | 6 | "Eva stood framed in the" | | 7 | "Her red hair was pulled" | | 8 | "he conceded quickly, his knuckles" | | 9 | "He trailed off, the excuse" | | 10 | "The corner of her mouth" | | 11 | "He exhaled slowly, shoving one" | | 12 | "Ptolemy brushed against his leg," | | 13 | "The flat itself seemed to" | | 14 | "Eva said abruptly, turning away" | | 15 | "Rory shut the door behind" | | 16 | "she countered, disappearing around a" | | 17 | "His lips curved despite everything." | | 18 | "The warmth that had briefly" | | 19 | "Rory navigated the obstacle course" |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 55.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 5 | | matches | | 0 | "The overhead light cast long shadows across the crowded room, making sculptures of the stacks of books that teetered precariously on every available surface." | | 1 | "Rory navigated the obstacle course of books to where she'd set two earthenware mugs on a small, cluttered table that served as the kitchen area." | | 2 | "A handful of copper and silver instruments lay half-buried in loose papers and oversized scrolls that defied their definition." | | 3 | "Their fingers brushed as he accepted the brew, and Rory felt something electric pass between them – a collision of comfort and conflict that had always bubbled …" | | 4 | "Their collisions boiling between something quite perhaps extremely agreed when finally worlds listener breaking words softly just accusing closer than fumbling …" |
| |
| 45.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 4 | | matches | | 0 | "he conceded quickly, his knuckles white on the doorframe" | | 1 | "He trailed, the excuse tasting hollow even as he spoke it" | | 2 | "Her gaze softened, though her voice remained brittle" | | 3 | "Rory said suddenly, the words escaping with an urgency that surprised even him" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 9 | | fancyTags | | 0 | "he conceded quickly (concede)" | | 1 | "he snapped (snap)" | | 2 | "she corrected (correct)" | | 3 | "Eva continued softly (continue)" | | 4 | "she continued (continue)" | | 5 | "Eva corrected (correct)" | | 6 | "She laughed humorlessly (laugh)" | | 7 | "he confirmed softly (confirm)" | | 8 | "we I admit (admit)" |
| | dialogueSentences | 53 | | tagDensity | 0.226 | | leniency | 0.453 | | rawRatio | 0.75 | | effectiveRatio | 0.34 | |