| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1413 | | totalAiIsmAdverbs | 2 | | 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) | |
| 64.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1413 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "flicker" | | 2 | "silence" | | 3 | "traced" | | 4 | "etched" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | 0 | "the weight of silence" | | 1 | "A flicker of recognition" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 13 | | totalWords | 1404 | | ratio | 0.009 | | matches | | 0 | "If anything ever happens, you go to Si. He’ll know what to do." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.75% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 995 | | uniqueNames | 13 | | maxNameDensity | 1.01 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 10 | | Tuesday | 1 | | Rory | 6 | | Blackwood | 1 | | Carter | 2 | | Si | 1 | | Evan | 1 | | Prague | 2 | | Gower | 1 | | London | 1 | | Thames | 1 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Blackwood" | | 4 | "Carter" | | 5 | "Evan" |
| | places | | 0 | "Si" | | 1 | "Prague" | | 2 | "Gower" | | 3 | "London" | | 4 | "Thames" |
| | globalScore | 0.997 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1404 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 36.95 | | std | 28.48 | | cv | 0.771 | | sampleLengths | | 0 | 99 | | 1 | 65 | | 2 | 76 | | 3 | 29 | | 4 | 23 | | 5 | 9 | | 6 | 42 | | 7 | 27 | | 8 | 3 | | 9 | 45 | | 10 | 28 | | 11 | 74 | | 12 | 2 | | 13 | 5 | | 14 | 74 | | 15 | 32 | | 16 | 6 | | 17 | 51 | | 18 | 14 | | 19 | 87 | | 20 | 39 | | 21 | 11 | | 22 | 22 | | 23 | 3 | | 24 | 79 | | 25 | 58 | | 26 | 28 | | 27 | 3 | | 28 | 2 | | 29 | 80 | | 30 | 43 | | 31 | 10 | | 32 | 26 | | 33 | 44 | | 34 | 19 | | 35 | 66 | | 36 | 6 | | 37 | 74 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 80 | | matches | | 0 | "was supposed" | | 1 | "was crouched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 171 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 101 | | ratio | 0.079 | | matches | | 0 | "Rory pushed the door open and the smell hit her first—old wood, spilled ale, and something floral that might have been Silas’s wife’s hand soap from a decade ago." | | 1 | "But the signet ring on his right hand was the same—silver, worn smooth by decades of turning." | | 2 | "“Silas.” She pulled the delivery cap off and ran a hand through her hair, suddenly aware of how she must look—black hair plastered to her temples from the rain, the old scar on her wrist catching the light." | | 3 | "Not the thing her father had worried about—no enemy agents, no shadowy men in suits." | | 4 | "That was the thing about him—he had learned the weight of silence in the same school where she was still a freshman." | | 5 | "The clock above the photograph of Prague—a bridge, a river, a betrayal she’d only ever heard whispered about—ticked steadily toward midnight." | | 6 | "She looked away, at the old map of London pinned to the wall—the Thames a blue ribbon, the streets etched in faded ink." | | 7 | "The grey in his hair, the scar on his wrist that had healed into a pale line—she wondered if his knee ached tonight, if the memory of Prague was crouched somewhere in the back of his skull, watching." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1005 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.031840796019900496 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007960199004975124 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 13.9 | | std | 13.08 | | cv | 0.941 | | sampleLengths | | 0 | 24 | | 1 | 29 | | 2 | 7 | | 3 | 39 | | 4 | 4 | | 5 | 27 | | 6 | 17 | | 7 | 17 | | 8 | 7 | | 9 | 23 | | 10 | 17 | | 11 | 29 | | 12 | 15 | | 13 | 8 | | 14 | 6 | | 15 | 6 | | 16 | 4 | | 17 | 11 | | 18 | 2 | | 19 | 3 | | 20 | 2 | | 21 | 4 | | 22 | 38 | | 23 | 4 | | 24 | 14 | | 25 | 13 | | 26 | 3 | | 27 | 3 | | 28 | 18 | | 29 | 6 | | 30 | 18 | | 31 | 6 | | 32 | 22 | | 33 | 6 | | 34 | 24 | | 35 | 40 | | 36 | 4 | | 37 | 2 | | 38 | 5 | | 39 | 4 | | 40 | 7 | | 41 | 42 | | 42 | 5 | | 43 | 11 | | 44 | 5 | | 45 | 3 | | 46 | 15 | | 47 | 2 | | 48 | 2 | | 49 | 10 |
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| 47.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.33663366336633666 | | totalSentences | 101 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 72 | | matches | | 0 | "Of course he knew." | | 1 | "Just the quiet weight of" | | 2 | "Just the slow erosion of" | | 3 | "Somewhere in the back, a" | | 4 | "Then he pulled his hand" |
| | ratio | 0.069 | |
| 42.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 72 | | matches | | 0 | "She hadn’t been here in" | | 1 | "He looked up when the" | | 2 | "He set the glass down" | | 3 | "she said, her voice coming" | | 4 | "She slid the takeaway bag" | | 5 | "He looked at her." | | 6 | "She pulled the delivery cap" | | 7 | "he said, and the number" | | 8 | "He didn’t blink." | | 9 | "He reached for the bag," | | 10 | "He set the noodles aside" | | 11 | "He poured himself a measure" | | 12 | "She met his eyes." | | 13 | "They held hers without challenge," | | 14 | "He’ll know what to do.*" | | 15 | "He didn’t push." | | 16 | "He let her take two" | | 17 | "She set the glass down" | | 18 | "It wasn’t a question." | | 19 | "She lifted her chin, defiant" |
| | ratio | 0.444 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 72 | | matches | | 0 | "The green neon of the" | | 1 | "Rory pushed the door open" | | 2 | "She hadn’t been here in" | | 3 | "The bar was quiet." | | 4 | "He looked up when the" | | 5 | "Silas Blackwood looked older than" | | 6 | "The grey in his auburn" | | 7 | "He set the glass down" | | 8 | "she said, her voice coming" | | 9 | "She slid the takeaway bag" | | 10 | "Silas didn’t look at the" | | 11 | "He looked at her." | | 12 | "A flicker of recognition moved" | | 13 | "She pulled the delivery cap" | | 14 | "he said, and the number" | | 15 | "He didn’t blink." | | 16 | "He reached for the bag," | | 17 | "Steam rose in a thin" | | 18 | "Rory’s laugh was short and" | | 19 | "Silas’s jaw tightened at the" |
| | ratio | 0.778 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "The grey in his hair, the scar on his wrist that had healed into a pale line—she wondered if his knee ached tonight, if the memory of Prague was crouched somewh…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, her voice coming out flatter than she intended" | | 1 | "he said, and the number hung between them like a held breath" | | 2 | "She lifted, defiant" | | 3 | "He set, the bartop creaking under his weight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 34 | | tagDensity | 0.206 | | leniency | 0.412 | | rawRatio | 0.143 | | effectiveRatio | 0.059 | |