| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.75 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1028 | | 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) | |
| 56.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1028 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "chill" | | 1 | "flickered" | | 2 | "scanned" | | 3 | "weight" | | 4 | "measured" | | 5 | "silence" | | 6 | "pulsed" | | 7 | "pulse" |
| |
| 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 | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 97 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 26 | | totalWords | 1028 | | ratio | 0.025 | | matches | | 0 | "No Service." | | 1 | "Get the cash. Leave the food. Go home to Silas' bar and pour three fingers of cheap whiskey." | | 2 | "Snap." | | 3 | "thump-thump" | | 4 | "Click-clack." | | 5 | "Zzzzzip." | | 6 | "Drip. Drip." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1006 | | uniqueNames | 10 | | maxNameDensity | 1.09 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Golden | 2 | | Empress | 2 | | Park | 1 | | London | 1 | | Evan | 1 | | Silence | 1 | | Heartstone | 3 | | Steam | 1 | | Dark | 1 | | Rory | 11 |
| | persons | | 0 | "Evan" | | 1 | "Silence" | | 2 | "Heartstone" | | 3 | "Steam" | | 4 | "Rory" |
| | places | | | globalScore | 0.953 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like wet pebbles knocking together" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1028 | | 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 | 41 | | mean | 25.07 | | std | 16.03 | | cv | 0.639 | | sampleLengths | | 0 | 27 | | 1 | 56 | | 2 | 13 | | 3 | 58 | | 4 | 4 | | 5 | 21 | | 6 | 43 | | 7 | 34 | | 8 | 23 | | 9 | 19 | | 10 | 18 | | 11 | 33 | | 12 | 1 | | 13 | 31 | | 14 | 11 | | 15 | 8 | | 16 | 63 | | 17 | 19 | | 18 | 28 | | 19 | 41 | | 20 | 25 | | 21 | 6 | | 22 | 36 | | 23 | 26 | | 24 | 9 | | 25 | 1 | | 26 | 22 | | 27 | 19 | | 28 | 38 | | 29 | 28 | | 30 | 47 | | 31 | 2 | | 32 | 28 | | 33 | 39 | | 34 | 4 | | 35 | 36 | | 36 | 1 | | 37 | 15 | | 38 | 46 | | 39 | 29 | | 40 | 20 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 84.55% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 98 | | ratio | 0.02 | | matches | | 0 | "Old habits from living with Evan never faded; they just found new uses." | | 1 | "Deer bolted when startled; they didn't take a single, measured step and wait." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 320 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 10 | | adverbRatio | 0.03125 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.003125 | |
| 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 | 10.49 | | std | 6.6 | | cv | 0.629 | | sampleLengths | | 0 | 17 | | 1 | 10 | | 2 | 15 | | 3 | 28 | | 4 | 13 | | 5 | 10 | | 6 | 3 | | 7 | 17 | | 8 | 12 | | 9 | 3 | | 10 | 6 | | 11 | 15 | | 12 | 5 | | 13 | 4 | | 14 | 21 | | 15 | 13 | | 16 | 19 | | 17 | 1 | | 18 | 5 | | 19 | 5 | | 20 | 10 | | 21 | 15 | | 22 | 9 | | 23 | 10 | | 24 | 13 | | 25 | 5 | | 26 | 14 | | 27 | 3 | | 28 | 3 | | 29 | 12 | | 30 | 15 | | 31 | 5 | | 32 | 13 | | 33 | 1 | | 34 | 10 | | 35 | 5 | | 36 | 3 | | 37 | 13 | | 38 | 11 | | 39 | 8 | | 40 | 9 | | 41 | 9 | | 42 | 16 | | 43 | 18 | | 44 | 11 | | 45 | 5 | | 46 | 14 | | 47 | 9 | | 48 | 19 | | 49 | 18 |
| |
| 84.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5306122448979592 | | totalSentences | 98 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 87 | | matches | | 0 | "Just waist-high foxgloves swaying in" | | 1 | "No longer warm, it burned" | | 2 | "Somewhere behind the standing stones," | | 3 | "Too thick, pitch-black in the" |
| | ratio | 0.046 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 87 | | matches | | 0 | "She stepped past the ancient" | | 1 | "Her skin prickled." | | 2 | "she called out" | | 3 | "Her voice died a foot" | | 4 | "She pulled her phone from" | | 5 | "She pressed the power button." | | 6 | "She spun, keys slipping between" | | 7 | "She nudged the red thermal" | | 8 | "She hooked a finger into" | | 9 | "It had never warmed before." | | 10 | "Her shoulder blades hit rough," | | 11 | "It yielded slightly under her" | | 12 | "She jerked away from the" | | 13 | "Her boots sank a fraction" | | 14 | "She edged left, putting twenty" | | 15 | "It sounded like wet pebbles" | | 16 | "Her heel brushed a patch" | | 17 | "They crumbled like dry ash" | | 18 | "It wasn't a growl." | | 19 | "It was her own voice," |
| | ratio | 0.241 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 87 | | matches | | 0 | "Rory dropped the insulated thermal" | | 1 | "The second hand twitched backward," | | 2 | "She stepped past the ancient" | | 3 | "Richmond Park sat miles from" | | 4 | "Nobody paid fifty quid for" | | 5 | "Rory rubbed the small crescent-shaped" | | 6 | "Her skin prickled." | | 7 | "Wildflowers carpeted the ground, blooming" | | 8 | "The clearing swallowed sound whole." | | 9 | "she called out" | | 10 | "Her voice died a foot" | | 11 | "She pulled her phone from" | | 12 | "She pressed the power button." | | 13 | "Rory tucked the bricked phone" | | 14 | "She spun, keys slipping between" | | 15 | "Nothing stood between the oaks." | | 16 | "She nudged the red thermal" | | 17 | "The foil containers inside crinkled." | | 18 | "An answer came from the" | | 19 | "Brittle wood breaking under weight." |
| | ratio | 0.655 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 1 | | matches | | 0 | "She cleared ten yards in three strides, straight black hair whipping across her eyes, lungs burning on air that tasted of pennies and rot." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Rory whispered (whisper)" |
| | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |