| 77.55% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 3 | | adverbTags | | 0 | "He turned back [back]" | | 1 | "Silas said finally [finally]" | | 2 | "He turned back [back]" |
| | dialogueSentences | 49 | | tagDensity | 0.469 | | leniency | 0.939 | | rawRatio | 0.13 | | effectiveRatio | 0.122 | |
| 75.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1218 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "sharply" | | 1 | "carefully" | | 2 | "slowly" | | 3 | "really" | | 4 | "suddenly" |
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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) | |
| 58.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1218 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "familiar" | | 1 | "methodical" | | 2 | "tracing" | | 3 | "scanned" | | 4 | "constructed" | | 5 | "flicker" | | 6 | "calculated" | | 7 | "silence" | | 8 | "whisper" |
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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 | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1226 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 823 | | uniqueNames | 11 | | maxNameDensity | 1.94 | | worstName | "Silas" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Silas | 16 | | Ben | 1 | | Old | 1 | | Man | 1 | | Hemlock | 1 | | Evan | 13 | | Rory | 10 | | Resilient | 1 | | Thorne | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Ben" | | 4 | "Evan" | | 5 | "Rory" | | 6 | "Thorne" |
| | places | (empty) | | globalScore | 0.528 | | windowScore | 0.167 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "Silas, seemingly oblivious to the st" | | 1 | "felt like she was trapped between them" |
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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 | 1226 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 106 | | matches | | 0 | "knew that tone" | | 1 | "Was that a" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 27.24 | | std | 18.99 | | cv | 0.697 | | sampleLengths | | 0 | 83 | | 1 | 58 | | 2 | 25 | | 3 | 22 | | 4 | 35 | | 5 | 35 | | 6 | 36 | | 7 | 2 | | 8 | 17 | | 9 | 15 | | 10 | 3 | | 11 | 1 | | 12 | 80 | | 13 | 20 | | 14 | 24 | | 15 | 16 | | 16 | 14 | | 17 | 29 | | 18 | 14 | | 19 | 25 | | 20 | 25 | | 21 | 14 | | 22 | 33 | | 23 | 7 | | 24 | 36 | | 25 | 9 | | 26 | 9 | | 27 | 33 | | 28 | 16 | | 29 | 33 | | 30 | 13 | | 31 | 31 | | 32 | 13 | | 33 | 47 | | 34 | 38 | | 35 | 15 | | 36 | 58 | | 37 | 24 | | 38 | 8 | | 39 | 29 | | 40 | 10 | | 41 | 49 | | 42 | 15 | | 43 | 44 | | 44 | 63 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 82 | | matches | | 0 | "was connected" | | 1 | "was trapped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 147 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 106 | | ratio | 0.085 | | matches | | 0 | "Rory wiped condensation from the glass as she walked in, the scent of stale beer and something vaguely floral – Silas’s attempt at air freshener, she suspected – instantly familiar." | | 1 | "He hadn’t changed in the way people usually did – a little softer around the edges, a few more lines around the eyes." | | 2 | "A flicker of something – recognition?" | | 3 | "– crossed his face." | | 4 | "“Is it?” He leaned against the bar, close enough that she could smell his cologne – something sharp and metallic." | | 5 | "“Indeed.” He studied her for a moment, his gaze slowly taking in her black hair, the small crescent-shaped scar on her left wrist – a detail he’d always known, always remembered." | | 6 | "“Because I have information. Information that might be of…mutual interest. Regarding a certain operation in Prague.” Silas’s face tightened, and Rory realized with a jolt that Evan – Thorne – wasn’t just a changed man, he was connected to Silas’s past." | | 7 | "It was black, minimalist, with just a single embossed symbol – a coiled serpent." | | 8 | "“He’s been looking for you. For both of us. I sensed it for months, a shadow at the edge of my network. I just didn't realize…it was him.” He looked at her, his eyes filled with a mixture of concern and something else – regret." |
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| 81.12% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 814 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 41 | | adverbRatio | 0.05036855036855037 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.02457002457002457 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 11.57 | | std | 8.55 | | cv | 0.739 | | sampleLengths | | 0 | 13 | | 1 | 15 | | 2 | 30 | | 3 | 3 | | 4 | 22 | | 5 | 5 | | 6 | 31 | | 7 | 13 | | 8 | 9 | | 9 | 14 | | 10 | 11 | | 11 | 22 | | 12 | 24 | | 13 | 11 | | 14 | 35 | | 15 | 8 | | 16 | 27 | | 17 | 1 | | 18 | 2 | | 19 | 11 | | 20 | 6 | | 21 | 6 | | 22 | 9 | | 23 | 3 | | 24 | 1 | | 25 | 23 | | 26 | 3 | | 27 | 17 | | 28 | 10 | | 29 | 8 | | 30 | 17 | | 31 | 2 | | 32 | 20 | | 33 | 7 | | 34 | 7 | | 35 | 6 | | 36 | 4 | | 37 | 16 | | 38 | 10 | | 39 | 4 | | 40 | 12 | | 41 | 6 | | 42 | 11 | | 43 | 8 | | 44 | 6 | | 45 | 8 | | 46 | 4 | | 47 | 13 | | 48 | 10 | | 49 | 6 |
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| 66.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.44339622641509435 | | totalSentences | 106 | | uniqueOpeners | 47 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 30.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 78 | | matches | | 0 | "She’d promised Silas an extra" | | 1 | "His silver signet ring gleamed" | | 2 | "he said without looking up," | | 3 | "she replied, taking a seat" | | 4 | "He finally looked up, his" | | 5 | "He slid a pint glass" | | 6 | "He paused, his gaze drifting" | | 7 | "It was him." | | 8 | "He hadn’t changed in the" | | 9 | "He’d changed fundamentally." | | 10 | "He was broader, thicker, with" | | 11 | "His eyes, once a warm" | | 12 | "He wore a dark, expensive-looking" | | 13 | "He didn’t look like the" | | 14 | "He scanned the room, his" | | 15 | "Her hand tightened around the" | | 16 | "She hadn’t seen him in" | | 17 | "He didn’t offer Evan a" | | 18 | "It was the tone he" | | 19 | "She forced a smile, her" |
| | ratio | 0.474 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 78 | | matches | | 0 | "The green neon of The" | | 1 | "Rain hadn’t fallen for hours," | | 2 | "Rory wiped condensation from the" | | 3 | "Tuesdays were slow." | | 4 | "She’d promised Silas an extra" | | 5 | "The bar was mostly empty." | | 6 | "A couple huddled in a" | | 7 | "Silas was behind the counter," | | 8 | "His silver signet ring gleamed" | | 9 | "he said without looking up," | | 10 | "she replied, taking a seat" | | 11 | "He finally looked up, his" | | 12 | "Silas chuckled, a low rumble" | | 13 | "He slid a pint glass" | | 14 | "He paused, his gaze drifting" | | 15 | "The bell above the door" | | 16 | "Rory glanced over her shoulder," | | 17 | "It was him." | | 18 | "He hadn’t changed in the" | | 19 | "He’d changed fundamentally." |
| | ratio | 0.923 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "She’d promised Silas an extra shift, covering for Ben who’d called in sick with a cough that sounded suspiciously like a hangover." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 11 | | matches | | 0 | "he said, a hint of a smile in his voice" | | 1 | "He paused, his gaze drifting to the door" | | 2 | "Evan said, his voice deeper, raspier than she remembered" | | 3 | "Evan corrected, the words clipped" | | 4 | "she said, her voice tight" | | 5 | "she asked, unable to stop herself" | | 6 | "Evan said, without taking his eyes off Rory" | | 7 | "Silas said finally, his voice carefully controlled" | | 8 | "He turned back, a cruel smile playing on his lips" | | 9 | "she asked, her voice barely a whisper" | | 10 | "He reached, his grip surprisingly gentle" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "Silas confirmed (confirm)" | | 1 | "Evan corrected (correct)" |
| | dialogueSentences | 49 | | tagDensity | 0.224 | | leniency | 0.449 | | rawRatio | 0.182 | | effectiveRatio | 0.082 | |