| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "she said slowly [slowly]" |
| | dialogueSentences | 51 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.083 | | effectiveRatio | 0.078 | |
| 85.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1381 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "softly" | | 1 | "loosely" | | 2 | "barely above a whisper" | | 3 | "slowly" |
| |
| 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 | 1381 | | totalAiIsms | 32 | | 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 | |
| | highlights | | 0 | "scanning" | | 1 | "familiar" | | 2 | "warmth" | | 3 | "glinting" | | 4 | "beacon" | | 5 | "flickered" | | 6 | "charm" | | 7 | "tinged" | | 8 | "raced" | | 9 | "flicker" | | 10 | "tension" | | 11 | "silence" | | 12 | "unspoken" | | 13 | "encounter" | | 14 | "echoed" | | 15 | "weight" | | 16 | "pounding" | | 17 | "racing" | | 18 | "looming" | | 19 | "stark" | | 20 | "footsteps" | | 21 | "echoing" | | 22 | "could feel" | | 23 | "whisper" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "the weight of the moment" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 70 | | matches | | |
| 81.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1378 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 956 | | uniqueNames | 9 | | maxNameDensity | 1.26 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 2 | | Blackwood | 1 | | Silas | 5 | | Cardiff | 1 | | Evan | 7 | | Aurora | 12 | | Soho | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Blackwood" | | 4 | "Silas" | | 5 | "Evan" | | 6 | "Aurora" |
| | places | | | globalScore | 0.872 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.726 | | wordCount | 1378 | | matches | | 0 | "not as the people they once were, but as the people they had become" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 30.62 | | std | 16.51 | | cv | 0.539 | | sampleLengths | | 0 | 93 | | 1 | 53 | | 2 | 17 | | 3 | 18 | | 4 | 29 | | 5 | 33 | | 6 | 47 | | 7 | 1 | | 8 | 67 | | 9 | 11 | | 10 | 44 | | 11 | 13 | | 12 | 24 | | 13 | 19 | | 14 | 16 | | 15 | 22 | | 16 | 52 | | 17 | 9 | | 18 | 39 | | 19 | 22 | | 20 | 40 | | 21 | 32 | | 22 | 29 | | 23 | 19 | | 24 | 26 | | 25 | 44 | | 26 | 31 | | 27 | 14 | | 28 | 40 | | 29 | 37 | | 30 | 23 | | 31 | 16 | | 32 | 34 | | 33 | 18 | | 34 | 28 | | 35 | 31 | | 36 | 28 | | 37 | 35 | | 38 | 33 | | 39 | 33 | | 40 | 47 | | 41 | 20 | | 42 | 14 | | 43 | 55 | | 44 | 22 |
| |
| 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 | 175 | | matches | (empty) | |
| 83.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 97 | | ratio | 0.021 | | matches | | 0 | "Evan stepped closer, his eyes searching hers, a flicker of something—regret, perhaps—passing between them." | | 1 | "Aurora’s mind raced, memories flooding back—laughter shared over late-night conversations, dreams whispered in the dark, and the way he had once made her feel invincible." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 966 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 30 | | adverbRatio | 0.031055900621118012 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010351966873706004 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 14.21 | | std | 6.05 | | cv | 0.426 | | sampleLengths | | 0 | 20 | | 1 | 26 | | 2 | 20 | | 3 | 27 | | 4 | 18 | | 5 | 22 | | 6 | 13 | | 7 | 12 | | 8 | 5 | | 9 | 8 | | 10 | 10 | | 11 | 14 | | 12 | 15 | | 13 | 9 | | 14 | 20 | | 15 | 4 | | 16 | 26 | | 17 | 10 | | 18 | 11 | | 19 | 1 | | 20 | 15 | | 21 | 13 | | 22 | 18 | | 23 | 21 | | 24 | 11 | | 25 | 16 | | 26 | 9 | | 27 | 19 | | 28 | 13 | | 29 | 14 | | 30 | 10 | | 31 | 11 | | 32 | 8 | | 33 | 7 | | 34 | 9 | | 35 | 22 | | 36 | 13 | | 37 | 25 | | 38 | 14 | | 39 | 9 | | 40 | 23 | | 41 | 16 | | 42 | 9 | | 43 | 13 | | 44 | 13 | | 45 | 27 | | 46 | 14 | | 47 | 18 | | 48 | 15 | | 49 | 14 |
| |
| 46.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.32989690721649484 | | totalSentences | 97 | | uniqueOpeners | 32 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Perhaps they could find a" |
| | ratio | 0.014 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 70 | | matches | | 0 | "She tucked a loose strand" | | 1 | "His grey-streaked auburn hair and" | | 2 | "He caught her eye and" | | 3 | "he said, his voice low" | | 4 | "she replied, forcing a smile" | | 5 | "He stood there, a silhouette" | | 6 | "His once-boyish charm had hardened" | | 7 | "His hair was longer, tousled," | | 8 | "he said, his voice a" | | 9 | "She hadn’t seen him since" | | 10 | "she managed, her voice steadier" | | 11 | "She crossed her arms, a" | | 12 | "Her voice was sharper than" | | 13 | "he said, his voice low," | | 14 | "She laughed, a bitter sound" | | 15 | "He flinched at her words," | | 16 | "She shook her head, her" | | 17 | "She took a step back," | | 18 | "He sensed the tension, the" | | 19 | "he said, his voice firm" |
| | ratio | 0.5 | |
| 17.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 70 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "Aurora Carter leaned against the" | | 2 | "The walls, adorned with old" | | 3 | "She tucked a loose strand" | | 4 | "Silas Blackwood, the bar’s owner" | | 5 | "His grey-streaked auburn hair and" | | 6 | "He caught her eye and" | | 7 | "he said, his voice low" | | 8 | "she replied, forcing a smile" | | 9 | "Silas chuckled softly, his hazel" | | 10 | "Aurora’s heart tightened at the" | | 11 | "Jennifer Carter had been a" | | 12 | "Aurora turned, her gaze drawn" | | 13 | "The moment she recognized him," | | 14 | "He stood there, a silhouette" | | 15 | "The years had changed him," | | 16 | "His once-boyish charm had hardened" | | 17 | "His hair was longer, tousled," | | 18 | "he said, his voice a" | | 19 | "The bar seemed to shrink" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "His grey-streaked auburn hair and neatly trimmed beard framed a face that had seen too much, yet still held a certain warmth." | | 1 | "He stood there, a silhouette against the neon green sign that flickered above the entrance." | | 2 | "His once-boyish charm had hardened into something more jagged, a roughness that spoke of battles fought and lost." | | 3 | "Evan stepped closer, his eyes searching hers, a flicker of something—regret, perhaps—passing between them." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 15 | | matches | | 0 | "he said, his voice low and gravelly as he approached her" | | 1 | "he said, his voice a low rumble, tinged with surprise" | | 2 | "she managed, her voice steadier than she felt" | | 3 | "Evan’s gaze remained, as if she were the only thing anchoring him to this moment" | | 4 | "she intended, but the hurt was still fresh, a wound that had never fully healed" | | 5 | "he said, his voice low, almost pleading" | | 6 | "She shook, her heart pounding in her chest" | | 7 | "he said, his voice firm but gentle" | | 8 | "she said, her voice steadier now" | | 9 | "he admitted, his voice barely above a whisper" | | 10 | "he said, his eyes pleading" | | 11 | "he said, his voice thick with emotion" | | 12 | "she admitted, her voice trembling" | | 13 | "she said slowly, her heart racing" | | 14 | "he replied, his voice steady" |
| |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 3 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "he admitted (admit)" | | 2 | "she admitted (admit)" |
| | dialogueSentences | 51 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.2 | | effectiveRatio | 0.118 | |