| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "Rory knocked back [back]" | | 1 | "Evan said finally [finally]" |
| | dialogueSentences | 48 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.111 | | effectiveRatio | 0.083 | |
| 94.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 996 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 54.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 996 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flicked" | | 1 | "weight" | | 2 | "traced" | | 3 | "throb" | | 4 | "eyebrow" | | 5 | "silence" |
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| 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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 15 | | totalWords | 983 | | ratio | 0.015 | | matches | | 0 | "You'll never do better than me, Rory. Who else would put up with your bullshit?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 747 | | uniqueNames | 16 | | maxNameDensity | 1.74 | | worstName | "Evan" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Evan" | | discoveredNames | | Rory | 10 | | Ten | 1 | | Evan | 13 | | Raven | 1 | | Nest | 1 | | Italian | 1 | | Smells | 1 | | Aramis | 1 | | Silas | 12 | | Macallan | 1 | | Laila | 1 | | Malik | 1 | | Golden | 1 | | Empress | 1 | | Locke | 1 | | Rolex | 1 |
| | persons | | 0 | "Rory" | | 1 | "Evan" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Smells" | | 5 | "Silas" | | 6 | "Laila" | | 7 | "Malik" |
| | places | | | globalScore | 0.63 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 983 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 110 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 21.84 | | std | 11.96 | | cv | 0.547 | | sampleLengths | | 0 | 39 | | 1 | 29 | | 2 | 14 | | 3 | 17 | | 4 | 25 | | 5 | 64 | | 6 | 28 | | 7 | 18 | | 8 | 27 | | 9 | 34 | | 10 | 23 | | 11 | 9 | | 12 | 30 | | 13 | 18 | | 14 | 28 | | 15 | 11 | | 16 | 9 | | 17 | 10 | | 18 | 8 | | 19 | 17 | | 20 | 8 | | 21 | 22 | | 22 | 22 | | 23 | 15 | | 24 | 31 | | 25 | 8 | | 26 | 17 | | 27 | 11 | | 28 | 38 | | 29 | 19 | | 30 | 36 | | 31 | 13 | | 32 | 6 | | 33 | 11 | | 34 | 36 | | 35 | 19 | | 36 | 43 | | 37 | 22 | | 38 | 19 | | 39 | 17 | | 40 | 23 | | 41 | 41 | | 42 | 16 | | 43 | 29 | | 44 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 132 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 110 | | ratio | 0.073 | | matches | | 0 | "That lopsided gait of his—always favoring his left side after that rugby injury—looked strange in Italian leather shoes instead of muddy trainers." | | 1 | "Smells flooded back—his Aramis cologne, the spearmint gum he chewed when nervous." | | 2 | "The sound jarred against the bar's usual clientele—broken ex-spies and recovering journalists nursing their secrets." | | 3 | "Rory imagined it shimmering like petrol on wet tarmac—one spark away from immolation." | | 4 | "Gold flashed on his pinky—a signet ring with the Locke family crest." | | 5 | "The memory hit like a sucker punch—Evan's fist slamming into the wall beside her head, plaster dust snowing onto her shoulders." | | 6 | "\"Some things are worth saving.\" He dropped cash on the bar—enough to cover both their drinks and then some." | | 7 | "\"No.\" She studied Evan's mobile number scrawled on the back—different from the one she'd memorized all those years ago." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 760 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03684210526315789 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002631578947368421 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 8.94 | | std | 5.59 | | cv | 0.626 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 7 | | 3 | 29 | | 4 | 12 | | 5 | 2 | | 6 | 3 | | 7 | 12 | | 8 | 2 | | 9 | 8 | | 10 | 17 | | 11 | 16 | | 12 | 22 | | 13 | 19 | | 14 | 4 | | 15 | 3 | | 16 | 10 | | 17 | 11 | | 18 | 4 | | 19 | 2 | | 20 | 1 | | 21 | 13 | | 22 | 5 | | 23 | 12 | | 24 | 13 | | 25 | 2 | | 26 | 9 | | 27 | 20 | | 28 | 5 | | 29 | 21 | | 30 | 2 | | 31 | 9 | | 32 | 16 | | 33 | 9 | | 34 | 5 | | 35 | 14 | | 36 | 4 | | 37 | 7 | | 38 | 15 | | 39 | 6 | | 40 | 4 | | 41 | 7 | | 42 | 9 | | 43 | 7 | | 44 | 3 | | 45 | 4 | | 46 | 4 | | 47 | 10 | | 48 | 7 | | 49 | 7 |
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| 79.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5 | | totalSentences | 110 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 77 | | matches | | 0 | "Still staring at the mirror," | | 1 | "Then the grin faltered." | | 2 | "Too much information." |
| | ratio | 0.039 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 77 | | matches | | 0 | "She didn't move to clean" | | 1 | "His eyes flicked to the" | | 2 | "He'd filled out since university," | | 3 | "He spotted her before she" | | 4 | "His voice had deepened, polished" | | 5 | "She flexed her left hand," | | 6 | "His suit jacket, tailored within" | | 7 | "She nodded at Silas, who" | | 8 | "He indicated mid-back" | | 9 | "He tilted the bottle toward" | | 10 | "He tapped the employee badge" | | 11 | "She caught Silas's minute head" | | 12 | "She couldn't resist the jab" | | 13 | "His smile didn't reach his" | | 14 | "She leaned in, close enough" | | 15 | "*You'll never do better than" | | 16 | "He pulled out a card," | | 17 | "She let the card lie" | | 18 | "He dropped cash on the" | | 19 | "She studied Evan's mobile number" |
| | ratio | 0.26 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 77 | | matches | | 0 | "The glass slipped from Rory's" | | 1 | "The pint smashed against the" | | 2 | "She didn't move to clean" | | 3 | "Silas murmured, already mopping up" | | 4 | "Silas's rag stilled." | | 5 | "His eyes flicked to the" | | 6 | "The lie tasted bitter" | | 7 | "The door swung shut behind" | | 8 | "That lopsided gait of his—always" | | 9 | "He'd filled out since university," | | 10 | "He spotted her before she" | | 11 | "Recognition sparked in those grey" | | 12 | "His voice had deepened, polished" | | 13 | "Smells flooded back—his Aramis cologne," | | 14 | "She flexed her left hand," | | 15 | "Evan slid onto the stool" | | 16 | "His suit jacket, tailored within" | | 17 | "She nodded at Silas, who" | | 18 | "Silas raised an eyebrow but" | | 19 | "Evan's fingertip hovered near her" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "Evan's fingertip hovered, not quite touching" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Silas murmured (murmur)" |
| | dialogueSentences | 48 | | tagDensity | 0.042 | | leniency | 0.083 | | rawRatio | 0.5 | | effectiveRatio | 0.042 | |