| 60.47% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "The lie tasted like [like]" | | 2 | "The question felt like [like]" |
| | dialogueSentences | 43 | | tagDensity | 0.442 | | leniency | 0.884 | | rawRatio | 0.158 | | effectiveRatio | 0.14 | |
| 87.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1632 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lightly" | | 1 | "suddenly" | | 2 | "slightly" | | 3 | "completely" |
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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) | |
| 38.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1632 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "standard" | | 1 | "stark" | | 2 | "electric" | | 3 | "predictable" | | 4 | "chaotic" | | 5 | "whisper" | | 6 | "unreadable" | | 7 | "tension" | | 8 | "stomach" | | 9 | "fascinating" | | 10 | "vibrated" | | 11 | "implication" | | 12 | "flickered" | | 13 | "warmth" | | 14 | "silence" | | 15 | "charged" | | 16 | "tracing" | | 17 | "pulse" | | 18 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 108 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 108 | | filterMatches | (empty) | | hedgeMatches | | 0 | "managed to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 18 | | totalWords | 1619 | | ratio | 0.011 | | matches | | 0 | "you" | | 1 | "Found a new lead! Meeting a source at the British Library archives tomorrow. This is it, Rory!" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1161 | | uniqueNames | 12 | | maxNameDensity | 0.78 | | worstName | "Eva" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 9 | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | London | 2 | | Lucien | 6 | | Rory | 8 | | Silence | 1 | | British | 1 | | Library | 1 | | Fourteen | 3 | | Ptolemy | 3 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Rory" | | 4 | "Silence" | | 5 | "Ptolemy" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "London" | | 3 | "British" | | 4 | "Library" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 7 | | matches | | 0 | "looked like a piece of a different world" | | 1 | "felt like a surrender" | | 2 | "felt like fear" | | 3 | "as if assessing exits, vulnerabilities, strategic advantages" | | 4 | "as if re-memorising its lines" | | 5 | "quite name" | | 6 | "felt like a defeat" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.618 | | wordCount | 1619 | | matches | | 0 | "not with anger, but with a cold, devastating understanding" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 29.44 | | std | 20.44 | | cv | 0.694 | | sampleLengths | | 0 | 43 | | 1 | 4 | | 2 | 85 | | 3 | 14 | | 4 | 10 | | 5 | 71 | | 6 | 13 | | 7 | 10 | | 8 | 47 | | 9 | 56 | | 10 | 4 | | 11 | 55 | | 12 | 5 | | 13 | 34 | | 14 | 25 | | 15 | 6 | | 16 | 19 | | 17 | 34 | | 18 | 28 | | 19 | 27 | | 20 | 1 | | 21 | 31 | | 22 | 24 | | 23 | 55 | | 24 | 26 | | 25 | 41 | | 26 | 30 | | 27 | 34 | | 28 | 97 | | 29 | 34 | | 30 | 7 | | 31 | 47 | | 32 | 27 | | 33 | 41 | | 34 | 10 | | 35 | 12 | | 36 | 24 | | 37 | 4 | | 38 | 14 | | 39 | 72 | | 40 | 14 | | 41 | 37 | | 42 | 43 | | 43 | 18 | | 44 | 28 | | 45 | 16 | | 46 | 19 | | 47 | 37 | | 48 | 27 | | 49 | 33 |
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| 95.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 108 | | matches | | 0 | "was gone" | | 1 | "was gone" | | 2 | "was wrapped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 184 | | matches | (empty) | |
| 33.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 131 | | ratio | 0.038 | | matches | | 0 | "The casual mention of her employer, the dismissal of her work—it was classic Lucien." | | 1 | "The faint scent of his cologne—sandalwood and something colder, like frost on stone—wrapped around her." | | 2 | "Something flickered in his eyes—a flash of genuine emotion she couldn’t quite name." | | 3 | "The way he’d looked at her the night she walked out—not with anger, but with a cold, devastating understanding." | | 4 | "He’d done it again—used a piece of her past like a scalpel." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1170 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.035897435897435895 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005982905982905983 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 12.36 | | std | 8.38 | | cv | 0.678 | | sampleLengths | | 0 | 10 | | 1 | 33 | | 2 | 4 | | 3 | 19 | | 4 | 19 | | 5 | 18 | | 6 | 14 | | 7 | 8 | | 8 | 7 | | 9 | 3 | | 10 | 8 | | 11 | 3 | | 12 | 9 | | 13 | 1 | | 14 | 2 | | 15 | 21 | | 16 | 20 | | 17 | 13 | | 18 | 15 | | 19 | 13 | | 20 | 10 | | 21 | 20 | | 22 | 6 | | 23 | 21 | | 24 | 5 | | 25 | 7 | | 26 | 9 | | 27 | 15 | | 28 | 11 | | 29 | 9 | | 30 | 4 | | 31 | 10 | | 32 | 25 | | 33 | 20 | | 34 | 5 | | 35 | 25 | | 36 | 4 | | 37 | 5 | | 38 | 15 | | 39 | 10 | | 40 | 6 | | 41 | 19 | | 42 | 14 | | 43 | 9 | | 44 | 6 | | 45 | 5 | | 46 | 28 | | 47 | 6 | | 48 | 7 | | 49 | 14 |
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| 49.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.35877862595419846 | | totalSentences | 131 | | uniqueOpeners | 47 | |
| 32.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 103 | | matches | | | ratio | 0.01 | |
| 25.83% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 103 | | matches | | 0 | "It wasn’t a driver." | | 1 | "He looked like a piece" | | 2 | "His charcoal suit was immaculate," | | 3 | "He leaned lightly on his" | | 4 | "His voice was low, smooth" | | 5 | "It hadn’t changed." | | 6 | "Her own voice felt lodged" | | 7 | "She’d managed to avoid the" | | 8 | "She’d almost convinced herself she’d" | | 9 | "She didn’t move from the" | | 10 | "It didn’t reach his heterochromatic" | | 11 | "She stepped back, wordlessly." | | 12 | "He moved past her with" | | 13 | "He didn’t look around at" | | 14 | "He stopped by the small" | | 15 | "He turned to face her," | | 16 | "He collected information the way" | | 17 | "It was his currency, his" | | 18 | "He’d always known too much." | | 19 | "His amber eye narrowed a" |
| | ratio | 0.485 | |
| 32.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 88 | | totalSentences | 103 | | matches | | 0 | "The third deadbolt gave way" | | 1 | "Rory pulled the door open," | | 2 | "It wasn’t a driver." | | 3 | "Lucien Moreau filled the cramped" | | 4 | "He looked like a piece" | | 5 | "His charcoal suit was immaculate," | | 6 | "The platinum of his slicked-back" | | 7 | "He leaned lightly on his" | | 8 | "His voice was low, smooth" | | 9 | "It hadn’t changed." | | 10 | "Her own voice felt lodged" | | 11 | "She’d managed to avoid the" | | 12 | "She’d almost convinced herself she’d" | | 13 | "She didn’t move from the" | | 14 | "A ghost of a smile" | | 15 | "It didn’t reach his heterochromatic" | | 16 | "Rory glanced over her shoulder." | | 17 | "Eva’s flat was a bombsite" | | 18 | "Books and scrolls formed precarious" | | 19 | "Ptolemy the tabby watched from" |
| | ratio | 0.854 | |
| 97.09% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 103 | | matches | | 0 | "Now she had to tilt" | | 1 | "Before she could react, he" |
| | ratio | 0.019 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "Fourteen months of London rain and dodgy deliveries and the quiet, stubborn work of building a life that didn’t include him." | | 1 | "He didn’t look around at the mess, his gaze instead sweeping the room with a detached, analytical efficiency, as if assessing exits, vulnerabilities, strategic …" | | 2 | "He was quiet for a moment, his gaze intense, travelling over her face as if re-memorising its lines." |
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| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "he said finally, the name dropping between them like a stone" | | 1 | "gloved hand lifted, as if to touch her cheek, then paused, hovering in the space between them" | | 2 | "He straightened, the moment of vulnerability shuttering closed" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.093 | | leniency | 0.186 | | rawRatio | 0 | | effectiveRatio | 0 | |