| 85.71% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said simply [simply]" | | 1 | "he asked finally [finally]" |
| | dialogueSentences | 35 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.143 | | effectiveRatio | 0.114 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 929 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 929 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "skipped a beat" | | count | 1 |
| | 13 | | | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "cacophony" | | 1 | "tracing" | | 2 | "glinting" | | 3 | "chill" | | 4 | "familiar" | | 5 | "unreadable" | | 6 | "scanned" | | 7 | "tension" | | 8 | "lilt" | | 9 | "unspoken" | | 10 | "weight" | | 11 | "silence" | | 12 | "skipped a beat" | | 13 | "jaw clenched" | | 14 | "pounding" | | 15 | "echo" | | 16 | "footsteps" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "jaw clenched" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 923 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 1 | | matches | | 0 | "But instead, he laughed again, a bitter, hollow sound." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 760 | | uniqueNames | 7 | | maxNameDensity | 0.66 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Evan" | | discoveredNames | | Rory | 3 | | Raven | 1 | | Nest | 1 | | Silas | 5 | | Welsh | 1 | | Didn | 1 | | Evan | 4 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Welsh" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "cacophony that seemed to circle Rory like a hawk" | | 1 | "felt like yesterday" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 923 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 20.51 | | std | 15.99 | | cv | 0.78 | | sampleLengths | | 0 | 89 | | 1 | 5 | | 2 | 71 | | 3 | 1 | | 4 | 29 | | 5 | 13 | | 6 | 35 | | 7 | 33 | | 8 | 13 | | 9 | 19 | | 10 | 8 | | 11 | 26 | | 12 | 34 | | 13 | 15 | | 14 | 20 | | 15 | 7 | | 16 | 31 | | 17 | 9 | | 18 | 9 | | 19 | 26 | | 20 | 9 | | 21 | 10 | | 22 | 20 | | 23 | 22 | | 24 | 22 | | 25 | 6 | | 26 | 16 | | 27 | 5 | | 28 | 20 | | 29 | 22 | | 30 | 15 | | 31 | 24 | | 32 | 10 | | 33 | 30 | | 34 | 15 | | 35 | 20 | | 36 | 3 | | 37 | 13 | | 38 | 26 | | 39 | 12 | | 40 | 36 | | 41 | 10 | | 42 | 10 | | 43 | 20 | | 44 | 34 |
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| 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 | 139 | | matches | (empty) | |
| 17.27% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 91 | | ratio | 0.044 | | matches | | 0 | "He gave her a barely perceptible nod—business as usual." | | 1 | "She felt it before she saw him—that familiar prickle of recognition, a ghost from her past materializing in the doorway." | | 2 | "He studied her, his dark eyes searching for something—an explanation, an apology, anything." | | 3 | "His jaw clenched, and for a moment, she thought he might explode—yell, lash out, something." |
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| 99.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 766 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.04046997389033943 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010443864229765013 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 10.14 | | std | 5.62 | | cv | 0.554 | | sampleLengths | | 0 | 20 | | 1 | 23 | | 2 | 20 | | 3 | 17 | | 4 | 9 | | 5 | 5 | | 6 | 9 | | 7 | 20 | | 8 | 1 | | 9 | 9 | | 10 | 20 | | 11 | 12 | | 12 | 1 | | 13 | 9 | | 14 | 11 | | 15 | 9 | | 16 | 13 | | 17 | 7 | | 18 | 7 | | 19 | 21 | | 20 | 10 | | 21 | 23 | | 22 | 11 | | 23 | 2 | | 24 | 8 | | 25 | 11 | | 26 | 3 | | 27 | 5 | | 28 | 20 | | 29 | 6 | | 30 | 11 | | 31 | 11 | | 32 | 12 | | 33 | 15 | | 34 | 4 | | 35 | 15 | | 36 | 1 | | 37 | 4 | | 38 | 3 | | 39 | 8 | | 40 | 23 | | 41 | 9 | | 42 | 5 | | 43 | 4 | | 44 | 14 | | 45 | 12 | | 46 | 9 | | 47 | 4 | | 48 | 6 | | 49 | 11 |
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| 65.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4065934065934066 | | totalSentences | 91 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 69 | | matches | | 0 | "Then the door swung open." | | 1 | "Then he nodded and moved" | | 2 | "Then he pushed off the" | | 3 | "Then he was gone, swallowed" |
| | ratio | 0.058 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 69 | | matches | | 0 | "She leaned against the bar," | | 1 | "She caught Silas’s eye across" | | 2 | "He gave her a barely" | | 3 | "She felt it before she" | | 4 | "His once-boyish features had sharpened" | | 5 | "His eyes, dark and unreadable," | | 6 | "She froze, her fingers tightening" | | 7 | "Her voice sounded flat, distant," | | 8 | "He stepped closer, his movements" | | 9 | "He stopped a few feet" | | 10 | "he said, nodding toward the" | | 11 | "His voice carried the same" | | 12 | "she replied, forcing lightness into" | | 13 | "He smirked, but it didn’t" | | 14 | "Her jaw tightened." | | 15 | "He leaned against the bar," | | 16 | "She felt the weight of" | | 17 | "She turned back to her" | | 18 | "she asked, her voice steady" | | 19 | "he said simply" |
| | ratio | 0.638 | |
| 10.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 69 | | matches | | 0 | "The piano’s discordant chords clashed" | | 1 | "She leaned against the bar," | | 2 | "The Raven’s Nest was unusually" | | 3 | "She caught Silas’s eye across" | | 4 | "He gave her a barely" | | 5 | "The chill that followed wasn’t" | | 6 | "She felt it before she" | | 7 | "His once-boyish features had sharpened" | | 8 | "The leather jacket he wore" | | 9 | "His eyes, dark and unreadable," | | 10 | "The word cut through the" | | 11 | "She froze, her fingers tightening" | | 12 | "Blood rushed in her ears," | | 13 | "Her voice sounded flat, distant," | | 14 | "He stepped closer, his movements" | | 15 | "The crowd parted instinctively, sensing" | | 16 | "He stopped a few feet" | | 17 | "he said, nodding toward the" | | 18 | "His voice carried the same" | | 19 | "she replied, forcing lightness into" |
| | ratio | 0.899 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "He laughed, a short, humorless sound that grated against her nerves." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 7 | | matches | | 0 | "she asked, her voice steady despite the storm brewing inside her" | | 1 | "he asked, his tone neutral" | | 2 | "Evan asked, the words dripping with mockery" | | 3 | "he said, his voice quieter now, almost vulnerable" | | 4 | "he asked finally, the question hanging like a guillotine above them" | | 5 | "he said, his voice low," | | 6 | "he asked, his tone casual but his eyes sharp" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.314 | | leniency | 0.629 | | rawRatio | 0 | | effectiveRatio | 0 | |