| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas muttered softly [softly]" |
| | dialogueSentences | 46 | | tagDensity | 0.413 | | leniency | 0.826 | | rawRatio | 0.053 | | effectiveRatio | 0.043 | |
| 96.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1318 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 65.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1318 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "scanned" | | 1 | "familiar" | | 2 | "pulse" | | 3 | "silk" | | 4 | "whisper" | | 5 | "traced" | | 6 | "grave" | | 7 | "intensity" | | 8 | "warmth" |
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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 | 58 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1316 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 763 | | uniqueNames | 10 | | maxNameDensity | 1.31 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 10 | | Soho | 1 | | Laila | 1 | | Cardiff | 1 | | Taff | 1 | | London | 1 | | Europe | 1 | | Julian | 3 |
| | persons | | 0 | "Silas" | | 1 | "Laila" | | 2 | "Julian" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "Taff" | | 4 | "London" | | 5 | "Europe" |
| | globalScore | 0.845 | | windowScore | 0.667 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like he had hit a wall" | | 1 | "looked like a bruise against his throat" |
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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 | 1316 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 29.91 | | std | 19.37 | | cv | 0.648 | | sampleLengths | | 0 | 63 | | 1 | 14 | | 2 | 26 | | 3 | 49 | | 4 | 1 | | 5 | 54 | | 6 | 38 | | 7 | 48 | | 8 | 13 | | 9 | 15 | | 10 | 36 | | 11 | 45 | | 12 | 35 | | 13 | 4 | | 14 | 4 | | 15 | 41 | | 16 | 14 | | 17 | 55 | | 18 | 20 | | 19 | 39 | | 20 | 51 | | 21 | 4 | | 22 | 5 | | 23 | 58 | | 24 | 33 | | 25 | 18 | | 26 | 19 | | 27 | 68 | | 28 | 15 | | 29 | 3 | | 30 | 7 | | 31 | 33 | | 32 | 47 | | 33 | 34 | | 34 | 38 | | 35 | 34 | | 36 | 50 | | 37 | 9 | | 38 | 6 | | 39 | 27 | | 40 | 66 | | 41 | 9 | | 42 | 47 | | 43 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 122 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 85 | | ratio | 0.012 | | matches | | 0 | "I caught the profile—sharp, aristocratic, and thoroughly misplaced in this hole-in-the-wall." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 769 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.033810143042912875 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.01950585175552666 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 15.48 | | std | 9.48 | | cv | 0.612 | | sampleLengths | | 0 | 15 | | 1 | 21 | | 2 | 27 | | 3 | 14 | | 4 | 26 | | 5 | 6 | | 6 | 11 | | 7 | 11 | | 8 | 8 | | 9 | 13 | | 10 | 1 | | 11 | 8 | | 12 | 23 | | 13 | 23 | | 14 | 32 | | 15 | 6 | | 16 | 11 | | 17 | 13 | | 18 | 24 | | 19 | 12 | | 20 | 1 | | 21 | 3 | | 22 | 12 | | 23 | 9 | | 24 | 10 | | 25 | 17 | | 26 | 19 | | 27 | 26 | | 28 | 17 | | 29 | 18 | | 30 | 4 | | 31 | 4 | | 32 | 7 | | 33 | 11 | | 34 | 23 | | 35 | 14 | | 36 | 23 | | 37 | 11 | | 38 | 21 | | 39 | 20 | | 40 | 16 | | 41 | 23 | | 42 | 45 | | 43 | 6 | | 44 | 4 | | 45 | 5 | | 46 | 31 | | 47 | 27 | | 48 | 33 | | 49 | 18 |
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| 38.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3176470588235294 | | totalSentences | 85 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 58 | | matches | | 0 | "My fingers drummed a rhythm" | | 1 | "I said, leaning back as" | | 2 | "He paused near the low-hanging" | | 3 | "I caught the profile—sharp, aristocratic," | | 4 | "He scanned the room, his" | | 5 | "I hadn't been Laila since" | | 6 | "I tightened my grip on" | | 7 | "He stepped closer, his heavy" | | 8 | "I gestured toward the empty" | | 9 | "He didn't sit." | | 10 | "He merely leaned, bracing himself" | | 11 | "He didn't say it with" | | 12 | "He said it like an" | | 13 | "I gestured toward his polished" | | 14 | "He shifted, his gaze flickering" | | 15 | "They seeped into the grain" | | 16 | "I watched Silas freeze, his" | | 17 | "I kept my voice flat," | | 18 | "He reached into his coat" | | 19 | "He set it on the" |
| | ratio | 0.672 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 58 | | matches | | 0 | "The neon hum cast a" | | 1 | "My fingers drummed a rhythm" | | 2 | "The door groaned open, spilling" | | 3 | "Silas reached for the bottle" | | 4 | "I said, leaning back as" | | 5 | "He paused near the low-hanging" | | 6 | "I caught the profile—sharp, aristocratic," | | 7 | "He scanned the room, his" | | 8 | "The movement was so abrupt" | | 9 | "The name was a punch" | | 10 | "I hadn't been Laila since" | | 11 | "The air between us thickened," | | 12 | "I tightened my grip on" | | 13 | "He stepped closer, his heavy" | | 14 | "The expensive silk tie he" | | 15 | "I gestured toward the empty" | | 16 | "He didn't sit." | | 17 | "He merely leaned, bracing himself" | | 18 | "He didn't say it with" | | 19 | "He said it like an" |
| | ratio | 0.966 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 4 | | matches | | 0 | "My fingers drummed a rhythm against the sticky mahogany, waiting for Silas to finish polishing a glass that was already clean." | | 1 | "The air between us thickened, heavy with the dust of years that had clearly treated us both with a distinct lack of mercy." | | 2 | "He was a slab of a man in a damp black coat, his eyes darting immediately toward the back booth, then settling on Julian." | | 3 | "I looked at the exit behind the bar, the shelf that led to the secret room, and the heavy iron poker sitting by the fireplace." |
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| 19.74% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 4 | | matches | | 0 | "I kept, refusing to let the tremor reach my hands" | | 1 | "He leaned, his voice dropping to a jagged whisper" | | 2 | "He grabbed, his fingers digging into the skin over my wrist scar" | | 3 | "Silas said, his voice smooth and dangerously low" |
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| 84.78% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "I laughed (laugh)" | | 1 | "he whispered (whisper)" | | 2 | "Silas muttered softly (mutter)" |
| | dialogueSentences | 46 | | tagDensity | 0.13 | | leniency | 0.261 | | rawRatio | 0.5 | | effectiveRatio | 0.13 | |