| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said simply [simply]" |
| | dialogueSentences | 45 | | tagDensity | 0.089 | | leniency | 0.178 | | rawRatio | 0.25 | | effectiveRatio | 0.044 | |
| 93.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 790 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | 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 | 790 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "skipped a beat" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "scanning" | | 1 | "familiar" | | 2 | "tinged" | | 3 | "eyebrow" | | 4 | "charm" | | 5 | "tension" | | 6 | "weight" | | 7 | "flicker" | | 8 | "unreadable" | | 9 | "skipped a beat" | | 10 | "raced" | | 11 | "palpable" | | 12 | "resolve" | | 13 | "clandestine" | | 14 | "navigate" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "the weight of her words" |
| |
| 98.96% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 64 | | matches | | 0 | "d with surprise" | | 1 | "was bitter" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 788 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 515 | | uniqueNames | 7 | | maxNameDensity | 3.88 | | worstName | "Aurora" | | maxWindowNameDensity | 7 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Raven | 1 | | Nest | 1 | | Aurora | 20 | | Silas | 13 | | Blackwood | 1 | | Evan | 16 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Aurora" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Evan" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | 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 | 788 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 16.08 | | std | 13.15 | | cv | 0.818 | | sampleLengths | | 0 | 77 | | 1 | 11 | | 2 | 55 | | 3 | 12 | | 4 | 14 | | 5 | 10 | | 6 | 20 | | 7 | 8 | | 8 | 22 | | 9 | 30 | | 10 | 20 | | 11 | 10 | | 12 | 12 | | 13 | 8 | | 14 | 10 | | 15 | 14 | | 16 | 19 | | 17 | 14 | | 18 | 24 | | 19 | 11 | | 20 | 13 | | 21 | 15 | | 22 | 9 | | 23 | 17 | | 24 | 5 | | 25 | 16 | | 26 | 4 | | 27 | 17 | | 28 | 11 | | 29 | 14 | | 30 | 8 | | 31 | 4 | | 32 | 13 | | 33 | 18 | | 34 | 9 | | 35 | 7 | | 36 | 7 | | 37 | 10 | | 38 | 18 | | 39 | 10 | | 40 | 30 | | 41 | 6 | | 42 | 10 | | 43 | 9 | | 44 | 9 | | 45 | 9 | | 46 | 10 | | 47 | 46 | | 48 | 33 |
| |
| 99.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 64 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 102 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 103 | | ratio | 0.01 | | matches | | 0 | "She didn't ask questions; it was part of the job." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 517 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 14 | | adverbRatio | 0.027079303675048357 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.009671179883945842 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 7.65 | | std | 4.48 | | cv | 0.586 | | sampleLengths | | 0 | 14 | | 1 | 22 | | 2 | 15 | | 3 | 16 | | 4 | 10 | | 5 | 11 | | 6 | 13 | | 7 | 9 | | 8 | 10 | | 9 | 17 | | 10 | 6 | | 11 | 12 | | 12 | 9 | | 13 | 5 | | 14 | 7 | | 15 | 3 | | 16 | 14 | | 17 | 6 | | 18 | 8 | | 19 | 7 | | 20 | 15 | | 21 | 8 | | 22 | 16 | | 23 | 6 | | 24 | 15 | | 25 | 5 | | 26 | 6 | | 27 | 4 | | 28 | 6 | | 29 | 6 | | 30 | 8 | | 31 | 3 | | 32 | 7 | | 33 | 4 | | 34 | 10 | | 35 | 10 | | 36 | 9 | | 37 | 6 | | 38 | 8 | | 39 | 8 | | 40 | 16 | | 41 | 6 | | 42 | 5 | | 43 | 5 | | 44 | 8 | | 45 | 10 | | 46 | 5 | | 47 | 7 | | 48 | 2 | | 49 | 11 |
| |
| 61.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3883495145631068 | | totalSentences | 103 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 62 | | matches | | 0 | "She moved with purpose, weaving" | | 1 | "She didn't ask questions; it" | | 2 | "His hair was shorter, streaked" | | 3 | "she said, her voice steady" | | 4 | "she replied, her tone cool" | | 5 | "She slid into the booth" | | 6 | "He leaned back, his expression" | | 7 | "she said, her voice clipped" | | 8 | "He flinched, the weight of" | | 9 | "He nodded, accepting her words." | | 10 | "She took it, grateful for" | | 11 | "he said simply" | | 12 | "She took a deep breath," |
| | ratio | 0.21 | |
| 16.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 62 | | matches | | 0 | "Aurora Carter ducked under the" | | 1 | "The Raven's Nest was packed" | | 2 | "She moved with purpose, weaving" | | 3 | "Silas had asked her to" | | 4 | "She didn't ask questions; it" | | 5 | "The voice was familiar, yet" | | 6 | "Aurora turned, her bright blue" | | 7 | "His hair was shorter, streaked" | | 8 | "she said, her voice steady" | | 9 | "Silas raised an eyebrow, his" | | 10 | "Aurora nodded, her eyes never" | | 11 | "Evan's smile was strained, a" | | 12 | "she replied, her tone cool" | | 13 | "Silas cleared his throat, sensing" | | 14 | "Aurora hesitated, but the curiosity" | | 15 | "She slid into the booth" | | 16 | "Silas excused himself, leaving them" | | 17 | "Evan studied her, his gaze" | | 18 | "Aurora's fingers brushed against it" | | 19 | "He leaned back, his expression" |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 3 | | matches | | 0 | "she said, her voice steady despite the sudden rush of memories" | | 1 | "she replied, her tone cool" | | 2 | "she said, her voice clipped" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.089 | | leniency | 0.178 | | rawRatio | 0 | | effectiveRatio | 0 | |