| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 2 | | adverbTags | | 0 | "Leo said finally [finally]" | | 1 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 67 | | tagDensity | 0.388 | | leniency | 0.776 | | rawRatio | 0.077 | | effectiveRatio | 0.06 | |
| 86.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1503 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "truly" |
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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) | |
| 63.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1503 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "familiar" | | 1 | "echo" | | 2 | "navigating" | | 3 | "silence" | | 4 | "stomach" | | 5 | "profound" | | 6 | "flickered" | | 7 | "standard" | | 8 | "unspoken" | | 9 | "etched" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 129 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 167 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 1499 | | ratio | 0.005 | | matches | | 0 | "Leonard Walsh, Senior Consultant, Bryn Consulting" | | 1 | "step-drag" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1106 | | uniqueNames | 19 | | maxNameDensity | 0.72 | | worstName | "Leo" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Leo" | | discoveredNames | | Rory | 6 | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Laila | 1 | | Gaelic | 1 | | Cardiff | 1 | | Walsh | 2 | | Soho | 2 | | Silas | 4 | | Scotch | 2 | | London | 1 | | Rough | 1 | | Leo | 8 | | Senior | 1 | | Consultant | 1 | | Bryn | 1 | | Mayfair | 1 | | Ice | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Laila" | | 4 | "Walsh" | | 5 | "Silas" | | 6 | "Leo" |
| | places | | 0 | "Cardiff" | | 1 | "Soho" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 91.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 2 | | matches | | 0 | "quite sit flush with the wall" | | 1 | "felt like a foreign country—hung heavy" |
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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 | 1499 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 167 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 22.71 | | std | 19.89 | | cv | 0.876 | | sampleLengths | | 0 | 49 | | 1 | 1 | | 2 | 46 | | 3 | 62 | | 4 | 4 | | 5 | 82 | | 6 | 1 | | 7 | 32 | | 8 | 66 | | 9 | 39 | | 10 | 17 | | 11 | 16 | | 12 | 40 | | 13 | 4 | | 14 | 70 | | 15 | 15 | | 16 | 3 | | 17 | 21 | | 18 | 67 | | 19 | 4 | | 20 | 2 | | 21 | 28 | | 22 | 14 | | 23 | 15 | | 24 | 5 | | 25 | 33 | | 26 | 28 | | 27 | 12 | | 28 | 19 | | 29 | 5 | | 30 | 41 | | 31 | 11 | | 32 | 31 | | 33 | 22 | | 34 | 6 | | 35 | 42 | | 36 | 6 | | 37 | 24 | | 38 | 6 | | 39 | 5 | | 40 | 2 | | 41 | 41 | | 42 | 19 | | 43 | 6 | | 44 | 7 | | 45 | 13 | | 46 | 24 | | 47 | 4 | | 48 | 32 | | 49 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 129 | | matches | | |
| 94.74% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 190 | | matches | | 0 | "was jarring" | | 1 | "was gathering" | | 2 | "was leaving" |
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| 91.53% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 167 | | ratio | 0.018 | | matches | | 0 | "His gaze travelled over the bar—the old maps, the black-and-white photos of a London that no longer existed, the hidden door behind the bookshelf that didn’t quite sit flush with the wall." | | 1 | "He leaned forward, the smell of Scotch and expensive aftershave mingling with something underneath—anxiety, perhaps." | | 2 | "All the unspoken things—the regret for paths not taken, the guilt for friendships abandoned, the shared history that now felt like a foreign country—hung heavy between them." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 387 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.03359173126614987 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.012919896640826873 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 167 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 167 | | mean | 8.98 | | std | 6.37 | | cv | 0.71 | | sampleLengths | | 0 | 6 | | 1 | 3 | | 2 | 17 | | 3 | 15 | | 4 | 8 | | 5 | 1 | | 6 | 26 | | 7 | 16 | | 8 | 2 | | 9 | 2 | | 10 | 4 | | 11 | 15 | | 12 | 8 | | 13 | 15 | | 14 | 9 | | 15 | 11 | | 16 | 4 | | 17 | 18 | | 18 | 2 | | 19 | 6 | | 20 | 11 | | 21 | 13 | | 22 | 6 | | 23 | 14 | | 24 | 12 | | 25 | 1 | | 26 | 9 | | 27 | 7 | | 28 | 1 | | 29 | 1 | | 30 | 14 | | 31 | 9 | | 32 | 13 | | 33 | 21 | | 34 | 12 | | 35 | 4 | | 36 | 7 | | 37 | 15 | | 38 | 19 | | 39 | 5 | | 40 | 9 | | 41 | 3 | | 42 | 5 | | 43 | 6 | | 44 | 6 | | 45 | 4 | | 46 | 5 | | 47 | 32 | | 48 | 3 | | 49 | 4 |
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| 61.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.39520958083832336 | | totalSentences | 167 | | uniqueOpeners | 66 | |
| 84.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 118 | | matches | | 0 | "Only her father had ever" | | 1 | "Slowly, she looked up." | | 2 | "Instead, he reached into his" |
| | ratio | 0.025 | |
| 3.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 64 | | totalSentences | 118 | | matches | | 0 | "It didn’t shatter." | | 1 | "It hit the rubber mat" | | 2 | "It was a man’s voice," | | 3 | "She didn’t turn immediately." | | 4 | "Her hands, flat on the" | | 5 | "It was his private name" | | 6 | "He’d stopped using it the" | | 7 | "He stood half in shadow," | | 8 | "They held a weary knowledge" | | 9 | "She said it like a" | | 10 | "Her own voice sounded strange" | | 11 | "He smiled, but it didn’t" | | 12 | "He slid onto the stool," | | 13 | "He wore a good coat," | | 14 | "She reached for a clean" | | 15 | "She pushed it towards him." | | 16 | "He took the glass, his" | | 17 | "They were cold." | | 18 | "She didn’t elaborate" | | 19 | "He nodded, sipped the whisky." |
| | ratio | 0.542 | |
| 19.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 118 | | matches | | 0 | "The glass slipped from Rory’s" | | 1 | "It didn’t shatter." | | 2 | "It hit the rubber mat" | | 3 | "The sound was lost beneath" | | 4 | "The voice came from her" | | 5 | "It was a man’s voice," | | 6 | "She didn’t turn immediately." | | 7 | "Her hands, flat on the" | | 8 | "It was his private name" | | 9 | "He’d stopped using it the" | | 10 | "The day she stopped being" | | 11 | "He stood half in shadow," | | 12 | "The boy she’d known was" | | 13 | "The same sandy hair, though" | | 14 | "The same freckles dusting his" | | 15 | "They held a weary knowledge" | | 16 | "She said it like a" | | 17 | "Her own voice sounded strange" | | 18 | "The voice she used for" | | 19 | "He smiled, but it didn’t" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 118 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "He wore a good coat, charcoal wool, but it was wrinkled across the shoulders as if he’d been sleeping in it." | | 1 | "His gaze travelled over the bar—the old maps, the black-and-white photos of a London that no longer existed, the hidden door behind the bookshelf that didn’t qu…" |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 2 | | matches | | 0 | "She reached, her movements automatic" | | 1 | "He took, his fingers brushing hers" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 67 | | tagDensity | 0.09 | | leniency | 0.179 | | rawRatio | 0.167 | | effectiveRatio | 0.03 | |