| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.541 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 77.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1100 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "deliberately" | | 1 | "lightly" | | 2 | "cautiously" | | 3 | "carefully" | | 4 | "gently" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 13.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1100 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "vibrated" | | 1 | "chaotic" | | 2 | "reminder" | | 3 | "silence" | | 4 | "unspoken" | | 5 | "crystal" | | 6 | "flicker" | | 7 | "intensity" | | 8 | "whisper" | | 9 | "constructed" | | 10 | "facade" | | 11 | "stomach" | | 12 | "familiar" | | 13 | "charm" | | 14 | "intriguing" | | 15 | "fleeting" | | 16 | "enigmatic" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "hung in the air" | | 1 | "sent a jolt through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 73 | | 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 | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1102 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 817 | | uniqueNames | 10 | | maxNameDensity | 0.73 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Tonight | 1 | | Lucien | 2 | | Moreau | 2 | | Ptolemy | 2 | | Eva | 1 | | Brick | 1 | | Lane | 1 | | Golden | 1 | | Empress | 1 | | Rory | 6 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | 0 | "Ptolemy" | | 1 | "Brick" | | 2 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "tasted like ash in her mouth" | | 1 | "quite decipher – regret" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1102 | | 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 | 41 | | mean | 26.88 | | std | 15.05 | | cv | 0.56 | | sampleLengths | | 0 | 49 | | 1 | 4 | | 2 | 53 | | 3 | 53 | | 4 | 38 | | 5 | 32 | | 6 | 41 | | 7 | 15 | | 8 | 39 | | 9 | 10 | | 10 | 38 | | 11 | 17 | | 12 | 21 | | 13 | 18 | | 14 | 30 | | 15 | 19 | | 16 | 30 | | 17 | 44 | | 18 | 13 | | 19 | 22 | | 20 | 13 | | 21 | 39 | | 22 | 7 | | 23 | 16 | | 24 | 26 | | 25 | 5 | | 26 | 11 | | 27 | 34 | | 28 | 7 | | 29 | 24 | | 30 | 57 | | 31 | 23 | | 32 | 11 | | 33 | 39 | | 34 | 51 | | 35 | 17 | | 36 | 16 | | 37 | 51 | | 38 | 20 | | 39 | 36 | | 40 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 139 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 91 | | ratio | 0.066 | | matches | | 0 | "The rain plastered his platinum blond hair to his forehead, highlighting the disconcerting, mismatched colours of his eyes – amber and black swirling like oil." | | 1 | "The package had been an assignment – a retrieval job that had brought him, and a fresh wave of uncomfortable memories, crashing back into her life." | | 2 | "There was a depth in those mismatched eyes, a flicker of something she couldn’t quite decipher – regret?" | | 3 | "The hurt, the anger, the frustration – they were still there, a familiar ache." | | 4 | "The scent of rain and something else – something faintly metallic and vaguely demonic – filled the small flat." | | 5 | "He tilted his head, and for a fleeting second, Rory saw a glimpse of the boy she’d fallen for – a boy driven by a reckless curiosity, a thirst for adventure, and a devastatingly charming smile." |
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| 99.40% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 193 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.03626943005181347 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.02072538860103627 | |
| 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 | 12.11 | | std | 7.07 | | cv | 0.584 | | sampleLengths | | 0 | 19 | | 1 | 9 | | 2 | 8 | | 3 | 4 | | 4 | 9 | | 5 | 4 | | 6 | 17 | | 7 | 25 | | 8 | 2 | | 9 | 9 | | 10 | 11 | | 11 | 23 | | 12 | 19 | | 13 | 18 | | 14 | 5 | | 15 | 11 | | 16 | 4 | | 17 | 19 | | 18 | 13 | | 19 | 20 | | 20 | 21 | | 21 | 8 | | 22 | 7 | | 23 | 8 | | 24 | 7 | | 25 | 5 | | 26 | 19 | | 27 | 10 | | 28 | 12 | | 29 | 26 | | 30 | 4 | | 31 | 12 | | 32 | 1 | | 33 | 14 | | 34 | 7 | | 35 | 18 | | 36 | 22 | | 37 | 8 | | 38 | 12 | | 39 | 7 | | 40 | 9 | | 41 | 21 | | 42 | 10 | | 43 | 18 | | 44 | 3 | | 45 | 13 | | 46 | 13 | | 47 | 10 | | 48 | 12 | | 49 | 3 |
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| 53.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.37362637362637363 | | totalSentences | 91 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 72 | | matches | | 0 | "Instead, he surveyed the flat" | | 1 | "Perhaps something darker." | | 2 | "Then, he straightened, the enigmatic" |
| | ratio | 0.042 | |
| 14.44% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 72 | | matches | | 0 | "She hadn’t expected anyone." | | 1 | "She opened the door." | | 2 | "He stood there, leaning against" | | 3 | "she stated, already stepping back" | | 4 | "he replied, his voice a" | | 5 | "He didn’t step inside immediately." | | 6 | "he observed, his gaze lingering" | | 7 | "she countered, crossing her arms" | | 8 | "He finally stepped inside, his" | | 9 | "He didn’t offer to take" | | 10 | "He moved directly to the" | | 11 | "he said, his voice low" | | 12 | "she asked, the words clipped" | | 13 | "He didn’t immediately answer." | | 14 | "He took a slow sip" | | 15 | "he said, his tone laced" | | 16 | "she said, her voice tight" | | 17 | "he stated, his amber eye" | | 18 | "she said, a sardonic smile" | | 19 | "He finally met her gaze," |
| | ratio | 0.514 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 72 | | matches | | 0 | "The rain hammered against the" | | 1 | "Tonight, it just amplified the" | | 2 | "A hesitant knock vibrated through" | | 3 | "She hadn’t expected anyone." | | 4 | "She opened the door." | | 5 | "He stood there, leaning against" | | 6 | "The rain plastered his platinum" | | 7 | "A ghost she’d deliberately avoided" | | 8 | "she stated, already stepping back" | | 9 | "The space above" | | 10 | "Ptolemy, Eva’s tabby cat, regarded" | | 11 | "he replied, his voice a" | | 12 | "He didn’t step inside immediately." | | 13 | "Rory said, gesturing vaguely at" | | 14 | "The neon glow of the" | | 15 | "he observed, his gaze lingering" | | 16 | "The crescent-shaped scar on her" | | 17 | "she countered, crossing her arms" | | 18 | "The silence stretched, thick with" | | 19 | "He finally stepped inside, his" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "The package had been an assignment – a retrieval job that had brought him, and a fresh wave of uncomfortable memories, crashing back into her life." | | 1 | "She stared into his heterochromatic eyes, searching for an answer, a hint of the man she’d once known, the man who had captivated her with his intelligence, his…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 12 | | matches | | 0 | "he replied, his voice a smooth, accented baritone" | | 1 | "he said, his voice low" | | 2 | "she asked, the words clipped and guarded" | | 3 | "Rory retorted, turning to stare out at the rain" | | 4 | "she said, her voice tight" | | 5 | "he stated, his amber eye hardening" | | 6 | "she said, a sardonic smile twisting her lips" | | 7 | "he said, his voice gaining intensity" | | 8 | "he said, his voice barely a whisper" | | 9 | "she asked, her voice quieter" | | 10 | "he countered, his voice soft, almost pleading" | | 11 | "he murmured, his voice a low rumble" |
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| 14.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 5 | | fancyTags | | 0 | "she stated (state)" | | 1 | "he observed (observe)" | | 2 | "Rory retorted (retort)" | | 3 | "he stated (state)" | | 4 | "he murmured (murmur)" |
| | dialogueSentences | 37 | | tagDensity | 0.459 | | leniency | 0.919 | | rawRatio | 0.294 | | effectiveRatio | 0.27 | |