| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 4 | | adverbTags | | 0 | "He shifted slightly [slightly]" | | 1 | "he said finally [finally]" | | 2 | "But her fingers tightened around [around]" | | 3 | "He looked around [around]" |
| | dialogueSentences | 64 | | tagDensity | 0.328 | | leniency | 0.656 | | rawRatio | 0.19 | | effectiveRatio | 0.125 | |
| 74.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1371 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "lightly" | | 1 | "tightly" | | 2 | "slightly" | | 3 | "really" | | 4 | "slowly" | | 5 | "barely above a whisper" |
| |
| 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) | |
| 41.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1371 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "practiced ease" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "flickered" | | 1 | "glinting" | | 2 | "scanned" | | 3 | "practiced ease" | | 4 | "glint" | | 5 | "eyebrow" | | 6 | "silence" | | 7 | "weight" | | 8 | "unspoken" | | 9 | "whisper" | | 10 | "pulsed" | | 11 | "fleeting" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "the air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 9 | | totalWords | 1353 | | ratio | 0.007 | | matches | | 0 | "The Man Who Was Thursday" | | 1 | "His" | | 2 | "Blue in Green" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 927 | | uniqueNames | 23 | | maxNameDensity | 0.43 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Earl | 1 | | Grey | 1 | | Chet | 1 | | Baker | 1 | | Carter | 1 | | Blackwood | 1 | | Man | 1 | | Was | 1 | | Rory | 1 | | Cardiff | 1 | | Eva | 2 | | Gibraltar | 1 | | Didn | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Silas | 4 | | Miles | 1 | | Davis | 1 | | London | 1 | | Berlin | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Earl" | | 3 | "Grey" | | 4 | "Chet" | | 5 | "Baker" | | 6 | "Carter" | | 7 | "Blackwood" | | 8 | "Was" | | 9 | "Rory" | | 10 | "Eva" | | 11 | "Yu-Fei" | | 12 | "Cheung" | | 13 | "Silas" | | 14 | "Davis" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "Gibraltar" | | 3 | "London" | | 4 | "Berlin" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared in front of her without question" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.739 | | wordCount | 1353 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 148 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 19.61 | | std | 19.51 | | cv | 0.995 | | sampleLengths | | 0 | 91 | | 1 | 73 | | 2 | 76 | | 3 | 81 | | 4 | 8 | | 5 | 31 | | 6 | 9 | | 7 | 17 | | 8 | 30 | | 9 | 15 | | 10 | 3 | | 11 | 29 | | 12 | 21 | | 13 | 2 | | 14 | 15 | | 15 | 14 | | 16 | 21 | | 17 | 19 | | 18 | 6 | | 19 | 3 | | 20 | 28 | | 21 | 8 | | 22 | 2 | | 23 | 8 | | 24 | 22 | | 25 | 10 | | 26 | 9 | | 27 | 3 | | 28 | 6 | | 29 | 31 | | 30 | 6 | | 31 | 10 | | 32 | 14 | | 33 | 22 | | 34 | 8 | | 35 | 32 | | 36 | 6 | | 37 | 12 | | 38 | 6 | | 39 | 3 | | 40 | 12 | | 41 | 10 | | 42 | 7 | | 43 | 32 | | 44 | 12 | | 45 | 29 | | 46 | 8 | | 47 | 2 | | 48 | 62 | | 49 | 9 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 105 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 158 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 20 | | semicolonCount | 0 | | flaggedSentences | 15 | | totalSentences | 148 | | ratio | 0.101 | | matches | | 0 | "Inside, the air was thick with the scent of aged oak, bergamot from the over-steeped Earl Grey someone had left cooling on a corner table, and the quiet hum of jazz—Chet Baker, low and mournful, from the cracked speaker above the bookshelves." | | 1 | "Her shoulder-length hair framed her face, sharp at the jawline, and her bright blue eyes scanned the room with practiced ease, taking in the regulars—the woman nursing a single malt in the corner, the couple pretending not to be on a bad first date near the fireplace." | | 2 | "He was reading a book—*The Man Who Was Thursday*, she noted with quiet amusement—its spine cracked down the middle." | | 3 | "Not out of fear—Rory wasn’t afraid of many things anymore—but because the sight of him unraveled something tightly wound beneath her ribs." | | 4 | "His hazel eyes—calm, assessing—met hers." | | 5 | "Silas gestured to the bartender—silent, nodding—and a glass of rye appeared in front of her without question." | | 6 | "Not awkward, but full—like two instruments tuning before a duet neither knew how to start." | | 7 | "The music shifted—Miles Davis now, *Blue in Green*." | | 8 | "His face didn’t move, but something in his eyes shifted—like a curtain drawn in a dark room." | | 9 | "The weight of it settled between them—the years, the unspoken apologies, the choices made in silence." | | 10 | "Pieces of her—laughter, trust, the ease of touch—had been sanded away, grain by grain." | | 11 | "He wasn’t the man she remembered—taller in myth than in memory, a shadow-king ruling from the edges." | | 12 | "At the ring on his hand—the sigil of a family he never spoke of." | | 13 | "“To Prague? To the Service? No.” He looked around the bar—the maps, the photographs, the hidden bookshelf that swung open to silence and encrypted phones." | | 14 | "He smiled—small, fleeting." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 950 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.029473684210526315 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010526315789473684 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 9.14 | | std | 7.65 | | cv | 0.837 | | sampleLengths | | 0 | 22 | | 1 | 42 | | 2 | 27 | | 3 | 12 | | 4 | 10 | | 5 | 47 | | 6 | 4 | | 7 | 20 | | 8 | 13 | | 9 | 19 | | 10 | 19 | | 11 | 5 | | 12 | 2 | | 13 | 22 | | 14 | 10 | | 15 | 19 | | 16 | 18 | | 17 | 7 | | 18 | 3 | | 19 | 8 | | 20 | 7 | | 21 | 5 | | 22 | 9 | | 23 | 10 | | 24 | 3 | | 25 | 2 | | 26 | 2 | | 27 | 1 | | 28 | 1 | | 29 | 8 | | 30 | 9 | | 31 | 10 | | 32 | 16 | | 33 | 4 | | 34 | 9 | | 35 | 6 | | 36 | 3 | | 37 | 8 | | 38 | 12 | | 39 | 9 | | 40 | 17 | | 41 | 4 | | 42 | 2 | | 43 | 15 | | 44 | 2 | | 45 | 7 | | 46 | 2 | | 47 | 3 | | 48 | 17 | | 49 | 4 |
| |
| 45.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3108108108108108 | | totalSentences | 148 | | uniqueOpeners | 46 | |
| 82.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 81 | | matches | | 0 | "Then she saw him." | | 1 | "Just recognition, like a tide" |
| | ratio | 0.025 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 81 | | matches | | 0 | "It was past ten, the" | | 1 | "She shook it lightly, more" | | 2 | "Her shoulder-length hair framed her" | | 3 | "His auburn hair, streaked with" | | 4 | "He was reading a book—*The" | | 5 | "His right hand rested on" | | 6 | "He hadn’t noticed her yet." | | 7 | "It had been nearly seven" | | 8 | "She didn’t know how he’d" | | 9 | "She never asked." | | 10 | "She moved forward, boots quiet" | | 11 | "He looked up before she" | | 12 | "His hazel eyes—calm, assessing—met hers." | | 13 | "She slid onto the stool" | | 14 | "He closed the book, one" | | 15 | "He studied her" | | 16 | "She ran a hand through" | | 17 | "She didn’t mention the restaurant" | | 18 | "She raised an eyebrow." | | 19 | "He shifted slightly, left leg" |
| | ratio | 0.593 | |
| 64.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 81 | | matches | | 0 | "The green neon glow of" | | 1 | "It was past ten, the" | | 2 | "Aurora Carter stepped through the" | | 3 | "She shook it lightly, more" | | 4 | "Her shoulder-length hair framed her" | | 5 | "Silas Blackwood sat at the" | | 6 | "His auburn hair, streaked with" | | 7 | "He was reading a book—*The" | | 8 | "His right hand rested on" | | 9 | "He hadn’t noticed her yet." | | 10 | "It had been nearly seven" | | 11 | "Silas had been the one" | | 12 | "She didn’t know how he’d" | | 13 | "She never asked." | | 14 | "She moved forward, boots quiet" | | 15 | "He looked up before she" | | 16 | "His hazel eyes—calm, assessing—met hers." | | 17 | "She slid onto the stool" | | 18 | "He closed the book, one" | | 19 | "He studied her" |
| | ratio | 0.79 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "The kind who remembered faces, habits, the way a woman flinched at sudden noises." | | 1 | "She had built a life that was hers now: the flat above the bar, the hum of her delivery scooter, the way London had become her armor." |
| |
| 77.38% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice low" | | 1 | "she said, voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 64 | | tagDensity | 0.219 | | leniency | 0.438 | | rawRatio | 0 | | effectiveRatio | 0 | |