| 80.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 3 | | adverbTags | | 0 | "She stepped further [further]" | | 1 | "He leaned back [back]" | | 2 | "he said softly [softly]" |
| | dialogueSentences | 50 | | tagDensity | 0.38 | | leniency | 0.76 | | rawRatio | 0.158 | | effectiveRatio | 0.12 | |
| 80.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1295 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slightly" | | 2 | "really" | | 3 | "softly" |
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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) | |
| 53.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1295 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "dancing" | | 2 | "silence" | | 3 | "flicker" | | 4 | "scanning" | | 5 | "measured" | | 6 | "etched" | | 7 | "tension" | | 8 | "warmth" | | 9 | "stomach" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 82 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1293 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 993 | | uniqueNames | 7 | | maxNameDensity | 0.91 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 2 | | Raven | 2 | | Nest | 2 | | Evan | 1 | | Aurora | 6 | | Silas | 9 | | Carter | 1 |
| | persons | | 0 | "Raven" | | 1 | "Evan" | | 2 | "Aurora" | | 3 | "Silas" | | 4 | "Carter" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like the truth" | | 1 | "sound that seemed to rattle in his chest" |
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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 | 1293 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 26.94 | | std | 24.03 | | cv | 0.892 | | sampleLengths | | 0 | 88 | | 1 | 75 | | 2 | 4 | | 3 | 81 | | 4 | 42 | | 5 | 46 | | 6 | 13 | | 7 | 40 | | 8 | 37 | | 9 | 60 | | 10 | 13 | | 11 | 29 | | 12 | 3 | | 13 | 17 | | 14 | 3 | | 15 | 20 | | 16 | 52 | | 17 | 18 | | 18 | 1 | | 19 | 15 | | 20 | 23 | | 21 | 1 | | 22 | 7 | | 23 | 4 | | 24 | 36 | | 25 | 4 | | 26 | 4 | | 27 | 37 | | 28 | 4 | | 29 | 28 | | 30 | 34 | | 31 | 4 | | 32 | 20 | | 33 | 84 | | 34 | 20 | | 35 | 26 | | 36 | 4 | | 37 | 28 | | 38 | 1 | | 39 | 25 | | 40 | 22 | | 41 | 5 | | 42 | 55 | | 43 | 18 | | 44 | 48 | | 45 | 17 | | 46 | 4 | | 47 | 73 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 36.40% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 163 | | matches | | 0 | "were trembling" | | 1 | "was trying" | | 2 | "was not running" | | 3 | "was just sitting" |
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| 41.72% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 113 | | ratio | 0.035 | | matches | | 0 | "The rain in Soho did not fall; it hung in the air, a wet grey curtain that blurred the edges of the streetlamps." | | 1 | "The smell hit her first—old wood, stale hops, and the faint, metallic tang of the city rain trapped inside." | | 2 | "He didn't look surprised, but there was a flicker of something else—relief, or perhaps the exhaustion of waiting." | | 3 | "He didn't hug her; he was too old for that, too guarded." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1002 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 36 | | adverbRatio | 0.03592814371257485 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.012974051896207584 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 11.44 | | std | 7 | | cv | 0.612 | | sampleLengths | | 0 | 23 | | 1 | 33 | | 2 | 19 | | 3 | 13 | | 4 | 15 | | 5 | 16 | | 6 | 14 | | 7 | 30 | | 8 | 4 | | 9 | 16 | | 10 | 17 | | 11 | 29 | | 12 | 19 | | 13 | 2 | | 14 | 21 | | 15 | 19 | | 16 | 3 | | 17 | 15 | | 18 | 18 | | 19 | 5 | | 20 | 5 | | 21 | 3 | | 22 | 10 | | 23 | 13 | | 24 | 20 | | 25 | 7 | | 26 | 5 | | 27 | 15 | | 28 | 11 | | 29 | 6 | | 30 | 10 | | 31 | 20 | | 32 | 17 | | 33 | 13 | | 34 | 4 | | 35 | 9 | | 36 | 13 | | 37 | 16 | | 38 | 3 | | 39 | 12 | | 40 | 5 | | 41 | 3 | | 42 | 19 | | 43 | 1 | | 44 | 9 | | 45 | 14 | | 46 | 19 | | 47 | 10 | | 48 | 14 | | 49 | 4 |
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| 38.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.2743362831858407 | | totalSentences | 113 | | uniqueOpeners | 31 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Instead, he placed a heavy" |
| | ratio | 0.014 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 74 | | matches | | 0 | "She shook her umbrella, water" | | 1 | "It was dimmer than she" | | 2 | "He looked smaller than she" | | 3 | "He wore a dark vest" | | 4 | "She had lived above this" | | 5 | "His hazel eyes, usually sharp" | | 6 | "He didn't look surprised, but" | | 7 | "He set the glass down." | | 8 | "His voice was gravel, worn" | | 9 | "She stepped further into the" | | 10 | "She felt suddenly exposed, her" | | 11 | "He reached for a bottle" | | 12 | "He moved around the bar," | | 13 | "It was a new thing," | | 14 | "He sat, wincing just slightly" | | 15 | "He poured two fingers of" | | 16 | "She placed her hands on" | | 17 | "Her left wrist burned faintly," | | 18 | "She tucked her hand under" | | 19 | "she lied, though it felt" |
| | ratio | 0.581 | |
| 7.30% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 74 | | matches | | 0 | "The rain in Soho did" | | 1 | "Aurora pushed through the heavy" | | 2 | "The smell hit her first—old" | | 3 | "She shook her umbrella, water" | | 4 | "The green neon sign above" | | 5 | "It was dimmer than she" | | 6 | "The walls, once a canvas" | | 7 | "Silas stood behind the counter," | | 8 | "He looked smaller than she" | | 9 | "The grey-streaked auburn hair she" | | 10 | "He wore a dark vest" | | 11 | "She had lived above this" | | 12 | "Silas looked up." | | 13 | "His hazel eyes, usually sharp" | | 14 | "He didn't look surprised, but" | | 15 | "He set the glass down." | | 16 | "The movement was slow, deliberate." | | 17 | "His voice was gravel, worn" | | 18 | "She stepped further into the" | | 19 | "She felt suddenly exposed, her" |
| | ratio | 0.905 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "Aurora pushed through the heavy oak door of The Raven's Nest, the brass bell above the frame jingling with a sharp, cheerful note that felt entirely wrong for t…" | | 1 | "Silas stood behind the counter, polishing a glass with a rag that had seen better decades." | | 2 | "The grey-streaked auburn hair she knew was now a dominant silver, framing a beard that was neatly trimmed but thicker, hiding the lines of a mouth that rarely s…" | | 3 | "The liquid burned, a sharp, clean fire that settled in her stomach, warming the cold that had lived there for months." |
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| 46.05% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 3 | | matches | | 0 | "She stepped further, her boots squeaking on the wood" | | 1 | "He leaned, the hazel eyes narrowing" | | 2 | "He leaned back, the leather creaking" |
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| 90.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she lied (lie)" | | 1 | "she whispered (whisper)" | | 2 | "Silas corrected (correct)" |
| | dialogueSentences | 50 | | tagDensity | 0.18 | | leniency | 0.36 | | rawRatio | 0.333 | | effectiveRatio | 0.12 | |