| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1111 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 32.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1111 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pounding" | | 1 | "fleeting" | | 2 | "flicker" | | 3 | "chill" | | 4 | "whisper" | | 5 | "weight" | | 6 | "pulsed" | | 7 | "could feel" | | 8 | "rhythmic" | | 9 | "glint" | | 10 | "familiar" |
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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 | 1 | | narrationSentences | 103 | | matches | | |
| 59.64% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 103 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "try to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1111 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 2 | | matches | | 0 | "Mostly, it lied." | | 1 | "Beneath Camden, they said." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1097 | | uniqueNames | 13 | | maxNameDensity | 0.36 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Harlow | 4 | | Quinn | 1 | | Raven | 2 | | Nest | 2 | | Charing | 1 | | Cross | 1 | | Road | 1 | | London | 1 | | Morris | 3 | | Veil | 2 | | Market | 1 | | Camden | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Charing" | | 2 | "Cross" | | 3 | "Road" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 7 | | matches | | 0 | "looked like a loose section of brickwork" | | 1 | "looked like a common criminal" | | 2 | "quite form words" | | 3 | "thrumming that seemed to emanate from the earth itself" | | 4 | "something like this" | | 5 | "drone that seemed to vibrate in her bones" | | 6 | "appeared under the cloak of night" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.9 | | wordCount | 1111 | | matches | | 0 | "not from exertion, but from the cold, creeping dread" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 61.42% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 65.35 | | std | 23.85 | | cv | 0.365 | | sampleLengths | | 0 | 51 | | 1 | 108 | | 2 | 92 | | 3 | 73 | | 4 | 101 | | 5 | 48 | | 6 | 44 | | 7 | 52 | | 8 | 43 | | 9 | 56 | | 10 | 53 | | 11 | 65 | | 12 | 104 | | 13 | 38 | | 14 | 44 | | 15 | 45 | | 16 | 94 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 103 | | matches | | |
| 52.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 181 | | matches | | 0 | "was fumbling" | | 1 | "was breathing" | | 2 | "was losing" | | 3 | "was waiting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 103 | | ratio | 0.01 | | matches | | 0 | "It was more than a hole in the wall; it was a passage, crudely dug, leading downwards." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1101 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.02815622161671208 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008174386920980926 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 10.79 | | std | 6.94 | | cv | 0.644 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 14 | | 3 | 3 | | 4 | 33 | | 5 | 19 | | 6 | 16 | | 7 | 25 | | 8 | 7 | | 9 | 8 | | 10 | 19 | | 11 | 29 | | 12 | 18 | | 13 | 26 | | 14 | 18 | | 15 | 13 | | 16 | 5 | | 17 | 18 | | 18 | 2 | | 19 | 12 | | 20 | 5 | | 21 | 15 | | 22 | 21 | | 23 | 10 | | 24 | 1 | | 25 | 19 | | 26 | 15 | | 27 | 20 | | 28 | 5 | | 29 | 17 | | 30 | 17 | | 31 | 5 | | 32 | 2 | | 33 | 1 | | 34 | 1 | | 35 | 11 | | 36 | 2 | | 37 | 8 | | 38 | 6 | | 39 | 2 | | 40 | 3 | | 41 | 8 | | 42 | 4 | | 43 | 12 | | 44 | 12 | | 45 | 16 | | 46 | 8 | | 47 | 4 | | 48 | 7 | | 49 | 17 |
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| 44.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.30097087378640774 | | totalSentences | 103 | | uniqueOpeners | 31 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 94 | | matches | | 0 | "Mostly, it lied." | | 1 | "Maybe she was." |
| | ratio | 0.021 | |
| 66.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 94 | | matches | | 0 | "Her quarry, a wiry man" | | 1 | "Her boots, sensible and water-resistant," | | 2 | "She’d been there before, too" | | 3 | "He moved with a speed" | | 4 | "He’d scrambled over a low" | | 5 | "She rounded a corner, the" | | 6 | "He plunged into it, disappearing." | | 7 | "She was breathing hard, not" | | 8 | "It reminded her of that" | | 9 | "She’d clamped down on it" | | 10 | "She approached the opening cautiously." | | 11 | "It was more than a" | | 12 | "She’d seen it all, or" | | 13 | "He’d looked terrified, hunted." | | 14 | "She knelt, her knees protesting" | | 15 | "She could hear a low" | | 16 | "She could almost taste the" | | 17 | "She knew the regulars, the" | | 18 | "Her instinct screamed at her" | | 19 | "They’d think she was losing" |
| | ratio | 0.383 | |
| 66.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 94 | | matches | | 0 | "The rain lashed down, turning" | | 1 | "Detective Harlow Quinn’s breath plumed" | | 2 | "Her quarry, a wiry man" | | 3 | "Harlow kept pace, her worn" | | 4 | "Her boots, sensible and water-resistant," | | 5 | "The Raven’s Nest, with its" | | 6 | "She’d been there before, too" | | 7 | "This alley wasn't on any" | | 8 | "The chase had begun on" | | 9 | "The suspect had been carrying" | | 10 | "He moved with a speed" | | 11 | "He’d scrambled over a low" | | 12 | "She rounded a corner, the" | | 13 | "The stench of refuse was" | | 14 | "A flicker of movement ahead." | | 15 | "The man, her suspect, was" | | 16 | "The brick gave way with" | | 17 | "He plunged into it, disappearing." | | 18 | "Harlow skidded to a halt," | | 19 | "She was breathing hard, not" |
| | ratio | 0.787 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 75.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 5 | | matches | | 0 | "Detective Harlow Quinn’s breath plumed in the frigid air, each expulsion a small cloud that dissolved into the downpour." | | 1 | "Her boots, sensible and water-resistant, splashed through puddles that reflected the indifferent glow of neon signs." | | 2 | "The suspect had been carrying a nondescript duffel bag, but it was the panicked gleam in his eyes, the sheer desperation that had set Harlow’s internal alarm be…" | | 3 | "The air that wafted from it was thick with a cloying, earthy scent, mingled with something else…" | | 4 | "She could feel the faint vibrations in the ground, a subtle thrumming that seemed to emanate from the earth itself." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |