| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 901 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "lazily" | | 2 | "softly" |
| |
| 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 | 901 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "intensity" | | 1 | "tension" | | 2 | "flickered" | | 3 | "reminder" | | 4 | "resonated" | | 5 | "silence" | | 6 | "unspoken" | | 7 | "testament" | | 8 | "racing" | | 9 | "comforting" | | 10 | "pounding" | | 11 | "whisper" | | 12 | "weight" | | 13 | "encounter" | | 14 | "looming" | | 15 | "perfect" | | 16 | "warmth" | | 17 | "anticipation" | | 18 | "newfound" | | 19 | "resolve" | | 20 | "radiant" | | 21 | "beacon" | | 22 | "navigate" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" | | 1 | "the weight of his words" | | 2 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 55 | | matches | | |
| 90.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 897 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 65.80% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 772 | | uniqueNames | 7 | | maxNameDensity | 1.68 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 1 | | Carter | 1 | | Moreau | 1 | | French | 1 | | Ptolemy | 2 | | Rory | 10 | | Lucien | 13 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Rory" | | 5 | "Lucien" |
| | places | (empty) | | globalScore | 0.658 | | windowScore | 0.667 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 2 | | matches | | 0 | "quite reach his eyes" | | 1 | "as if reading her thoughts" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 897 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 23 | | std | 13.73 | | cv | 0.597 | | sampleLengths | | 0 | 75 | | 1 | 60 | | 2 | 25 | | 3 | 25 | | 4 | 33 | | 5 | 11 | | 6 | 33 | | 7 | 23 | | 8 | 9 | | 9 | 15 | | 10 | 49 | | 11 | 17 | | 12 | 19 | | 13 | 15 | | 14 | 15 | | 15 | 19 | | 16 | 10 | | 17 | 13 | | 18 | 37 | | 19 | 16 | | 20 | 18 | | 21 | 14 | | 22 | 16 | | 23 | 33 | | 24 | 14 | | 25 | 27 | | 26 | 15 | | 27 | 11 | | 28 | 27 | | 29 | 10 | | 30 | 13 | | 31 | 16 | | 32 | 30 | | 33 | 17 | | 34 | 24 | | 35 | 11 | | 36 | 21 | | 37 | 35 | | 38 | 26 |
| |
| 92.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 55 | | matches | | 0 | "were, drawn" | | 1 | "been made" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 127 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 71 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 776 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.02190721649484536 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00902061855670103 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 12.63 | | std | 6.12 | | cv | 0.485 | | sampleLengths | | 0 | 23 | | 1 | 22 | | 2 | 30 | | 3 | 18 | | 4 | 20 | | 5 | 22 | | 6 | 25 | | 7 | 12 | | 8 | 13 | | 9 | 21 | | 10 | 12 | | 11 | 11 | | 12 | 14 | | 13 | 19 | | 14 | 14 | | 15 | 9 | | 16 | 4 | | 17 | 5 | | 18 | 11 | | 19 | 4 | | 20 | 12 | | 21 | 20 | | 22 | 17 | | 23 | 10 | | 24 | 7 | | 25 | 14 | | 26 | 5 | | 27 | 9 | | 28 | 6 | | 29 | 10 | | 30 | 5 | | 31 | 15 | | 32 | 4 | | 33 | 10 | | 34 | 10 | | 35 | 3 | | 36 | 18 | | 37 | 19 | | 38 | 16 | | 39 | 12 | | 40 | 6 | | 41 | 11 | | 42 | 3 | | 43 | 13 | | 44 | 3 | | 45 | 21 | | 46 | 12 | | 47 | 14 | | 48 | 10 | | 49 | 17 |
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| 52.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3380281690140845 | | totalSentences | 71 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 96.36% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 55 | | matches | | 0 | "She hesitated, her hand still" | | 1 | "His heterochromatic eyes, one amber" | | 2 | "he greeted, his voice smooth," | | 3 | "She stepped inside, closing the" | | 4 | "she replied, her tone neutral," | | 5 | "she countered, crossing her arms" | | 6 | "He chuckled, a low sound" | | 7 | "She met his gaze, her" | | 8 | "His expression softened, the guarded" | | 9 | "she admitted, her voice barely" | | 10 | "she confessed, her defenses crumbling" | | 11 | "she replied, her voice steady" | | 12 | "He nodded, accepting the truth" | | 13 | "She hesitated, the fear of" | | 14 | "she replied, a tentative smile" | | 15 | "She considered the question, the" | | 16 | "she replied, her voice firm," |
| | ratio | 0.309 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 55 | | matches | | 0 | "The door creaked open, revealing" | | 1 | "She hesitated, her hand still" | | 2 | "The air was thick with" | | 3 | "Lucien Moreau stood in the" | | 4 | "His heterochromatic eyes, one amber" | | 5 | "The ivory-handled cane rested against" | | 6 | "he greeted, his voice smooth," | | 7 | "She stepped inside, closing the" | | 8 | "she replied, her tone neutral," | | 9 | "Ptolemy, the tabby cat, meandered" | | 10 | "Rory's gaze flickered to the" | | 11 | "Lucien remarked, his eyes never" | | 12 | "she countered, crossing her arms" | | 13 | "The crescent-shaped scar on her" | | 14 | "Lucien's lips curved into a" | | 15 | "Rory shrugged, feigning nonchalance." | | 16 | "He chuckled, a low sound" | | 17 | "The silence stretched between them," | | 18 | "Rory glanced around the flat," | | 19 | "Eva's research notes were scattered" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 6 | | matches | | 0 | "She hesitated, her hand still on the doorframe, as if the threshold was a barrier she wasn't sure she wanted to cross." | | 1 | "His heterochromatic eyes, one amber and the other black, locked onto hers with an intensity that made her heart skip." | | 2 | "The admission hung in the air, a fragile truth that threatened to shatter the delicate balance they maintained." | | 3 | "Lucien's thumb brushed over her scar, a tender gesture that spoke volumes." | | 4 | "He nodded, accepting the truth with a solemnity that was rare for him." | | 5 | "Rory's heart ached with the memory of their last encounter, the harsh words and bitter accusations that had driven them apart." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 8 | | matches | | 0 | "Lucien said, as if reading her thoughts" | | 1 | "she admitted, her voice barely above a whisper" | | 2 | "she confessed, her defenses crumbling under the weight of their shared history" | | 3 | "she replied, her voice steady despite the turmoil within" | | 4 | "Lucien asked, his tone earnest, devoid of the usual bravado" | | 5 | "she replied, a tentative smile tugging at her lips" | | 6 | "Rory teased, her eyes sparkling with mischief" | | 7 | "she replied, her voice firm, filled with a newfound resolve" |
| |
| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "she admitted (admit)" | | 1 | "she confessed (confess)" | | 2 | "Lucien observed (observe)" | | 3 | "Rory teased (tease)" |
| | dialogueSentences | 30 | | tagDensity | 0.367 | | leniency | 0.733 | | rawRatio | 0.364 | | effectiveRatio | 0.267 | |