| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "She turned back [back]" | | 1 | "she said simply [simply]" |
| | dialogueSentences | 56 | | tagDensity | 0.321 | | leniency | 0.643 | | rawRatio | 0.111 | | effectiveRatio | 0.071 | |
| 86.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1483 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "really" | | 1 | "barely above a whisper" | | 2 | "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) | |
| 46.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1483 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "tracing" | | 1 | "weight" | | 2 | "warmth" | | 3 | "silence" | | 4 | "eyebrow" | | 5 | "pulse" | | 6 | "unreadable" | | 7 | "whisper" | | 8 | "wavered" | | 9 | "tension" | | 10 | "footsteps" | | 11 | "echoing" | | 12 | "pounding" |
| |
| 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 | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1467 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.68% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1171 | | uniqueNames | 5 | | maxNameDensity | 1.37 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Rory | 16 | | Silas | 6 | | Evan | 12 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 0.817 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | 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 | 1467 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 137 | | matches | | 0 | "changed, that he" | | 1 | "expected that answer" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 28.76 | | std | 23.76 | | cv | 0.826 | | sampleLengths | | 0 | 123 | | 1 | 6 | | 2 | 100 | | 3 | 29 | | 4 | 7 | | 5 | 55 | | 6 | 14 | | 7 | 24 | | 8 | 27 | | 9 | 65 | | 10 | 10 | | 11 | 8 | | 12 | 31 | | 13 | 5 | | 14 | 40 | | 15 | 33 | | 16 | 14 | | 17 | 60 | | 18 | 26 | | 19 | 71 | | 20 | 15 | | 21 | 9 | | 22 | 28 | | 23 | 39 | | 24 | 29 | | 25 | 32 | | 26 | 18 | | 27 | 9 | | 28 | 32 | | 29 | 27 | | 30 | 32 | | 31 | 8 | | 32 | 16 | | 33 | 32 | | 34 | 13 | | 35 | 56 | | 36 | 27 | | 37 | 44 | | 38 | 5 | | 39 | 25 | | 40 | 7 | | 41 | 28 | | 42 | 3 | | 43 | 44 | | 44 | 32 | | 45 | 26 | | 46 | 23 | | 47 | 8 | | 48 | 46 | | 49 | 3 |
| |
| 94.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 101 | | matches | | 0 | "been burned" | | 1 | "been written" | | 2 | "were pinned" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 201 | | matches | | 0 | "weren’t saying" | | 1 | "were shaking" |
| |
| 17.73% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 137 | | ratio | 0.044 | | matches | | 0 | "It was the kind of night where the weight of the past pressed down just enough to make the present feel like a borrowed coat—something she could shrug off if she wanted to." | | 1 | "His cologne—something expensive, sandalwood and bergamot—cut through the bar’s stale warmth, and for a second, Rory was seventeen again, standing in the school courtyard with her heart hammering against her ribs." | | 2 | "“Rory,” he said, and his voice was the same too—smooth, deliberate, the kind of voice that had once whispered promises into her hair." | | 3 | "Instead, he studied her—the way her black hair fell in a sleek curtain to her shoulders, the way her fingers, long and precise, tapped against the glass." | | 4 | "One of them caught her eye—a grainy shot of a younger Silas, his auburn hair still free of grey, standing in front of a building she didn’t recognize." | | 5 | "Rory studied him—the lines around his eyes, the grey streaking his auburn beard, the way his left leg always carried just a hint of a limp." |
| |
| 91.40% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1184 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 59 | | adverbRatio | 0.04983108108108108 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010135135135135136 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 10.71 | | std | 8.08 | | cv | 0.755 | | sampleLengths | | 0 | 36 | | 1 | 21 | | 2 | 17 | | 3 | 16 | | 4 | 33 | | 5 | 6 | | 6 | 24 | | 7 | 31 | | 8 | 5 | | 9 | 22 | | 10 | 18 | | 11 | 23 | | 12 | 6 | | 13 | 5 | | 14 | 2 | | 15 | 4 | | 16 | 25 | | 17 | 19 | | 18 | 7 | | 19 | 5 | | 20 | 7 | | 21 | 2 | | 22 | 19 | | 23 | 5 | | 24 | 9 | | 25 | 13 | | 26 | 5 | | 27 | 5 | | 28 | 27 | | 29 | 19 | | 30 | 12 | | 31 | 2 | | 32 | 9 | | 33 | 1 | | 34 | 5 | | 35 | 3 | | 36 | 11 | | 37 | 11 | | 38 | 3 | | 39 | 6 | | 40 | 5 | | 41 | 30 | | 42 | 10 | | 43 | 9 | | 44 | 24 | | 45 | 7 | | 46 | 7 | | 47 | 9 | | 48 | 13 | | 49 | 29 |
| |
| 44.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.291970802919708 | | totalSentences | 137 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 93 | | matches | | 0 | "Instead, he studied her—the way" | | 1 | "Finally, he stood, his stool" | | 2 | "Then she signaled the bartender" | | 3 | "Then she picked up her" |
| | ratio | 0.043 | |
| 52.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 93 | | matches | | 0 | "It was the kind of" | | 1 | "She hadn’t expected to see" | | 2 | "His cologne—something expensive, sandalwood and" | | 3 | "He hadn’t changed, not really." | | 4 | "he said, and his voice" | | 5 | "She didn’t look at him." | | 6 | "he said at last" | | 7 | "Her bright blue eyes were" | | 8 | "She picked up her glass," | | 9 | "He didn’t answer right away." | | 10 | "He reached out, almost without" | | 11 | "She set her glass down." | | 12 | "He said it like it" | | 13 | "His voice was low, rough" | | 14 | "She wanted to tell him" | | 15 | "He opened his mouth, then" | | 16 | "His arm was slung around" | | 17 | "she repeated, her voice flat" | | 18 | "She turned back to him," | | 19 | "he said, his voice barely" |
| | ratio | 0.419 | |
| 24.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 93 | | matches | | 0 | "The Raven’s Nest hummed with" | | 1 | "The green neon sign outside" | | 2 | "Rory leaned against the polished" | | 3 | "The ice had long since" | | 4 | "It was the kind of" | | 5 | "She hadn’t expected to see" | | 6 | "Evan slid onto the stool" | | 7 | "His cologne—something expensive, sandalwood and" | | 8 | "He hadn’t changed, not really." | | 9 | "The same sharp jawline, the" | | 10 | "he said, and his voice" | | 11 | "She didn’t look at him." | | 12 | "A beat of silence." | | 13 | "The bartender, a wiry man" | | 14 | "Evan ordered a whiskey, neat," | | 15 | "he said at last" | | 16 | "Rory finally turned her head." | | 17 | "Her bright blue eyes were" | | 18 | "Evan exhaled through his nose," | | 19 | "She picked up her glass," |
| | ratio | 0.871 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 93 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "His cologne—something expensive, sandalwood and bergamot—cut through the bar’s stale warmth, and for a second, Rory was seventeen again, standing in the school …" | | 1 | "But there was something different in the set of his shoulders, a hardness that hadn’t been there before." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 5 | | matches | | 0 | "he said, and his voice was the same too—smooth, deliberate, the kind of voice that had once whispered promises into her hair" | | 1 | "she repeated, her voice flat" | | 2 | "She turned back, her expression unreadable" | | 3 | "he said, his voice barely above a whisper" | | 4 | "Silas took, his expression distant" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "he admitted (admit)" | | 1 | "she repeated (repeat)" |
| | dialogueSentences | 56 | | tagDensity | 0.179 | | leniency | 0.357 | | rawRatio | 0.2 | | effectiveRatio | 0.071 | |