| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "I amended dryly [dryly]" | | 1 | "Her gaze drifted around [around]" |
| | dialogueSentences | 45 | | tagDensity | 0.378 | | leniency | 0.756 | | rawRatio | 0.118 | | effectiveRatio | 0.089 | |
| 65.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1143 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "really" | | 1 | "truly" | | 2 | "suddenly" | | 3 | "carefully" | | 4 | "deliberately" |
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| 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) | |
| 3.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1143 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "comfortable" | | 1 | "chaotic" | | 2 | "weight" | | 3 | "tracing" | | 4 | "sense of" | | 5 | "implication" | | 6 | "silence" | | 7 | "unspoken" | | 8 | "comforting" | | 9 | "facade" | | 10 | "flicker" | | 11 | "unreadable" | | 12 | "glint" | | 13 | "oppressive" | | 14 | "charged" | | 15 | "tension" | | 16 | "pang" | | 17 | "apprehension" | | 18 | "eyebrow" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 102 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1135 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 847 | | uniqueNames | 8 | | maxNameDensity | 0.35 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | London | 1 | | Raven | 2 | | Nest | 2 | | Cardiff | 1 | | Silas | 2 | | Polite | 1 | | Eva | 3 | | Trying | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 3 | | matches | | 0 | "quite reach her eyes" | | 1 | "chasm that seemed to be opening between us" | | 2 | "quite decipher—a mixture of sadness, apprehension, and maybe even…" |
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| 23.79% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.762 | | wordCount | 1135 | | matches | | 0 | "Not “older,” not “tired,” but “different" | | 1 | "not “tired,” but “different" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 23.65 | | std | 16.04 | | cv | 0.678 | | sampleLengths | | 0 | 5 | | 1 | 55 | | 2 | 32 | | 3 | 62 | | 4 | 40 | | 5 | 55 | | 6 | 22 | | 7 | 25 | | 8 | 20 | | 9 | 17 | | 10 | 25 | | 11 | 16 | | 12 | 33 | | 13 | 12 | | 14 | 17 | | 15 | 57 | | 16 | 27 | | 17 | 12 | | 18 | 25 | | 19 | 9 | | 20 | 35 | | 21 | 22 | | 22 | 25 | | 23 | 14 | | 24 | 15 | | 25 | 29 | | 26 | 6 | | 27 | 19 | | 28 | 50 | | 29 | 11 | | 30 | 12 | | 31 | 20 | | 32 | 25 | | 33 | 6 | | 34 | 6 | | 35 | 14 | | 36 | 10 | | 37 | 8 | | 38 | 22 | | 39 | 49 | | 40 | 9 | | 41 | 24 | | 42 | 18 | | 43 | 26 | | 44 | 68 | | 45 | 10 | | 46 | 6 | | 47 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 147 | | matches | | 0 | "was pouring" | | 1 | "was wearing" |
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| 75.37% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 127 | | ratio | 0.024 | | matches | | 0 | "It was the careful phrasing—the choice of words I'd expected." | | 1 | "I felt a sudden, sharp pang of something I hadn't realised I’d been carrying—a dull ache of regret." | | 2 | "There was something in her expression that I couldn't quite decipher—a mixture of sadness, apprehension, and maybe even…" |
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| 84.55% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 807 | | adjectiveStacks | 1 | | stackExamples | | 0 | "single, delicate gold chain" |
| | adverbCount | 41 | | adverbRatio | 0.05080545229244114 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.013630731102850062 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 8.94 | | std | 5.51 | | cv | 0.616 | | sampleLengths | | 0 | 5 | | 1 | 14 | | 2 | 12 | | 3 | 1 | | 4 | 1 | | 5 | 14 | | 6 | 13 | | 7 | 13 | | 8 | 2 | | 9 | 2 | | 10 | 7 | | 11 | 7 | | 12 | 1 | | 13 | 3 | | 14 | 2 | | 15 | 20 | | 16 | 7 | | 17 | 13 | | 18 | 9 | | 19 | 7 | | 20 | 1 | | 21 | 13 | | 22 | 7 | | 23 | 7 | | 24 | 13 | | 25 | 11 | | 26 | 11 | | 27 | 12 | | 28 | 8 | | 29 | 13 | | 30 | 19 | | 31 | 3 | | 32 | 10 | | 33 | 7 | | 34 | 1 | | 35 | 7 | | 36 | 20 | | 37 | 7 | | 38 | 10 | | 39 | 17 | | 40 | 8 | | 41 | 9 | | 42 | 7 | | 43 | 2 | | 44 | 1 | | 45 | 18 | | 46 | 2 | | 47 | 1 | | 48 | 9 | | 49 | 10 |
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| 81.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5039370078740157 | | totalSentences | 127 | | uniqueOpeners | 64 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 84 | | matches | | 0 | "Maybe a scattering of fine" | | 1 | "Suddenly, the comfortable familiarity of" | | 2 | "Then the car door opened" |
| | ratio | 0.036 | |
| 15.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 84 | | matches | | 0 | "I hadn’t realised I'd stopped" | | 1 | "She hadn't aged." | | 2 | "It made the years melt" | | 3 | "We hadn’t spoken, truly spoken," | | 4 | "I replied, trying for a" | | 5 | "It came out brittle, like" | | 6 | "I gestured to the stool" | | 7 | "She slid onto the stool," | | 8 | "She always had a peculiar" | | 9 | "she said, her gaze fixed" | | 10 | "It was the careful phrasing—the" | | 11 | "I nodded towards the sleek," | | 12 | "She offered a small, almost" | | 13 | "I said, watching Silas slide" | | 14 | "I said, because what else" | | 15 | "She swirled the whisky in" | | 16 | "I asked, leaning forward" | | 17 | "She shrugged, a gesture too" | | 18 | "I amended, dryly" | | 19 | "Her smile tightened." |
| | ratio | 0.512 | |
| 61.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 84 | | matches | | 0 | "The voice cut through the" | | 1 | "I hadn’t realised I'd stopped" | | 2 | "The question, though laced with" | | 3 | "The ghost of familiarity settling" | | 4 | "A life before places like" | | 5 | "She hadn't aged." | | 6 | "The same chaotic mane of" | | 7 | "It made the years melt" | | 8 | "We hadn’t spoken, truly spoken," | | 9 | "I replied, trying for a" | | 10 | "It came out brittle, like" | | 11 | "I gestured to the stool" | | 12 | "She slid onto the stool," | | 13 | "The clink of her bracelet" | | 14 | "A single, delicate gold chain" | | 15 | "She always had a peculiar" | | 16 | "she said, her gaze fixed" | | 17 | "It was the careful phrasing—the" | | 18 | "I nodded towards the sleek," | | 19 | "She offered a small, almost" |
| | ratio | 0.798 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "The girl who’d spent her student days dodging lectures and painting murals on abandoned buildings, now a solicitor." | | 1 | "The spirit that had convinced me to run away with her, to abandon the suffocating expectations of my father and the slow, suffocating certainty of a life mapped…" |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "She shrugged, a gesture too practiced, too polished" | | 1 | "the man asked, his voice smooth and professional" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |