| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1415 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1415 | | totalAiIsms | 38 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | |
| | highlights | | 0 | "intensity" | | 1 | "familiar" | | 2 | "looming" | | 3 | "silence" | | 4 | "imposing" | | 5 | "traced" | | 6 | "reminder" | | 7 | "oppressive" | | 8 | "warmth" | | 9 | "echoed" | | 10 | "weight" | | 11 | "analyzed" | | 12 | "chaotic" | | 13 | "loomed" | | 14 | "pulsed" | | 15 | "rhythmic" | | 16 | "measured" | | 17 | "scanned" | | 18 | "throbbed" | | 19 | "pulse" | | 20 | "gloom" | | 21 | "standard" | | 22 | "sturdy" | | 23 | "whisper" | | 24 | "flicked" | | 25 | "vibrated" | | 26 | "perfect" |
| |
| 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 | 137 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 137 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1403 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1364 | | uniqueNames | 12 | | maxNameDensity | 0.66 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Fae" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Golden | 1 | | Empress | 1 | | Heartstone | 3 | | London | 2 | | Fae | 2 | | Grove | 4 | | Earth | 1 | | Dymas | 1 | | Rory | 9 | | Two | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Earth" | | 2 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 112 | | 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 | 1403 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 33.4 | | std | 21.47 | | cv | 0.643 | | sampleLengths | | 0 | 56 | | 1 | 53 | | 2 | 79 | | 3 | 53 | | 4 | 73 | | 5 | 42 | | 6 | 89 | | 7 | 22 | | 8 | 11 | | 9 | 19 | | 10 | 47 | | 11 | 49 | | 12 | 8 | | 13 | 29 | | 14 | 28 | | 15 | 12 | | 16 | 26 | | 17 | 8 | | 18 | 64 | | 19 | 7 | | 20 | 17 | | 21 | 49 | | 22 | 71 | | 23 | 9 | | 24 | 49 | | 25 | 17 | | 26 | 31 | | 27 | 7 | | 28 | 36 | | 29 | 4 | | 30 | 15 | | 31 | 8 | | 32 | 39 | | 33 | 30 | | 34 | 31 | | 35 | 21 | | 36 | 43 | | 37 | 20 | | 38 | 48 | | 39 | 29 | | 40 | 35 | | 41 | 19 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 193 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 140 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 51 | | adjectiveStacks | 1 | | stackExamples | | 0 | "exhausting part-time shift" |
| | adverbCount | 2 | | adverbRatio | 0.0392156862745098 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0196078431372549 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 10.02 | | std | 5.29 | | cv | 0.528 | | sampleLengths | | 0 | 12 | | 1 | 13 | | 2 | 7 | | 3 | 24 | | 4 | 11 | | 5 | 8 | | 6 | 15 | | 7 | 19 | | 8 | 8 | | 9 | 6 | | 10 | 15 | | 11 | 18 | | 12 | 18 | | 13 | 14 | | 14 | 4 | | 15 | 10 | | 16 | 10 | | 17 | 17 | | 18 | 6 | | 19 | 6 | | 20 | 10 | | 21 | 5 | | 22 | 15 | | 23 | 25 | | 24 | 11 | | 25 | 7 | | 26 | 8 | | 27 | 8 | | 28 | 11 | | 29 | 15 | | 30 | 6 | | 31 | 20 | | 32 | 3 | | 33 | 13 | | 34 | 6 | | 35 | 6 | | 36 | 14 | | 37 | 9 | | 38 | 12 | | 39 | 4 | | 40 | 7 | | 41 | 11 | | 42 | 11 | | 43 | 3 | | 44 | 4 | | 45 | 5 | | 46 | 7 | | 47 | 20 | | 48 | 8 | | 49 | 10 |
| |
| 35.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.2785714285714286 | | totalSentences | 140 | | uniqueOpeners | 39 | |
| 25.25% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 132 | | matches | | 0 | "Bright blue and violent pink" |
| | ratio | 0.008 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 132 | | matches | | 0 | "Her exhausting part-time shift concluded" | | 1 | "It pulled her past the" | | 2 | "They formed a narrow, imposing" | | 3 | "Her thumb traced the smooth" | | 4 | "She stepped through the ancient" | | 5 | "Her boots sank into the" | | 6 | "She stood rigid." | | 7 | "She analyzed the sound." | | 8 | "She looked over her shoulder." | | 9 | "She counted four strides past" | | 10 | "Her voice sounded flat and" | | 11 | "It stayed outside her peripheral" | | 12 | "Her bright blue eyes scanned" | | 13 | "She pulled the gem out" | | 14 | "It pulsed white-hot against her" | | 15 | "Her unknown benefactor provided the" | | 16 | "It stood over six feet" | | 17 | "Her heel struck a patch" | | 18 | "It echoed much closer this" | | 19 | "It did not originate from" |
| | ratio | 0.197 | |
| 13.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 118 | | totalSentences | 132 | | matches | | 0 | "Rory left the bicycle clamped" | | 1 | "The laminated Golden Empress delivery" | | 2 | "Her exhausting part-time shift concluded" | | 3 | "The cramped flat above" | | 4 | "The silver chain bit cold" | | 5 | "A deep crimson gem rested" | | 6 | "Heat radiated from the Heartstone," | | 7 | "It pulled her past the" | | 8 | "Streetlights surrendered the dark to" | | 9 | "Frost coated the overgrown grass" | | 10 | "The steady hum of London" | | 11 | "A stray gust blew a" | | 12 | "The dark turned dense and" | | 13 | "They formed a narrow, imposing" | | 14 | "The heat blooming against her" | | 15 | "Rory gripped the thumbnail-sized pendant." | | 16 | "Her thumb traced the smooth" | | 17 | "The pad of her thumb" | | 18 | "She stepped through the ancient" | | 19 | "A wall of heat rushed" |
| | ratio | 0.894 | |
| 37.88% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 132 | | matches | | 0 | "If she stepped left, the" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 65 | | technicalSentenceCount | 1 | | matches | | 0 | "A thick, cloying floral scent flooded her lungs, tasting sweet and decaying at the edges." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |