| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 55 | | tagDensity | 0.255 | | leniency | 0.509 | | rawRatio | 0.071 | | effectiveRatio | 0.036 | |
| 89.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1435 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "slowly" | | 1 | "barely above a whisper" | | 2 | "quickly" |
| |
| 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) | |
| 37.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1435 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "familiar" | | 1 | "flicked" | | 2 | "weight" | | 3 | "crystal" | | 4 | "could feel" | | 5 | "tracing" | | 6 | "flickered" | | 7 | "silence" | | 8 | "pulse" | | 9 | "whisper" | | 10 | "pounding" | | 11 | "unreadable" | | 12 | "echoing" | | 13 | "footsteps" |
| |
| 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 | 102 | | matches | | |
| 86.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1433 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.07% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1126 | | uniqueNames | 6 | | maxNameDensity | 1.6 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 14 | | Rory | 18 | | Mercer | 1 | | Evan | 2 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Mercer" | | 5 | "Evan" |
| | places | (empty) | | globalScore | 0.701 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1433 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 141 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 22.05 | | std | 20.28 | | cv | 0.92 | | sampleLengths | | 0 | 48 | | 1 | 10 | | 2 | 73 | | 3 | 12 | | 4 | 19 | | 5 | 6 | | 6 | 19 | | 7 | 94 | | 8 | 10 | | 9 | 21 | | 10 | 19 | | 11 | 18 | | 12 | 4 | | 13 | 10 | | 14 | 61 | | 15 | 9 | | 16 | 1 | | 17 | 33 | | 18 | 9 | | 19 | 22 | | 20 | 5 | | 21 | 42 | | 22 | 3 | | 23 | 23 | | 24 | 46 | | 25 | 13 | | 26 | 30 | | 27 | 15 | | 28 | 6 | | 29 | 7 | | 30 | 7 | | 31 | 71 | | 32 | 54 | | 33 | 16 | | 34 | 35 | | 35 | 2 | | 36 | 29 | | 37 | 13 | | 38 | 3 | | 39 | 12 | | 40 | 45 | | 41 | 11 | | 42 | 15 | | 43 | 51 | | 44 | 12 | | 45 | 14 | | 46 | 2 | | 47 | 16 | | 48 | 13 | | 49 | 48 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 205 | | matches | | 0 | "was measuring" | | 1 | "was counting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 141 | | ratio | 0.014 | | matches | | 0 | "\"Seven years, three months, and—\" he checked his watch, a deliberate pause \"—sixteen days. Not that I’ve been counting.\"" | | 1 | "That was the problem with old friends—they remembered the parts of you that you tried to leave behind." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 334 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.03592814371257485 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005988023952095809 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 10.16 | | std | 6.34 | | cv | 0.624 | | sampleLengths | | 0 | 20 | | 1 | 3 | | 2 | 3 | | 3 | 22 | | 4 | 10 | | 5 | 15 | | 6 | 16 | | 7 | 29 | | 8 | 13 | | 9 | 12 | | 10 | 16 | | 11 | 3 | | 12 | 6 | | 13 | 19 | | 14 | 12 | | 15 | 12 | | 16 | 5 | | 17 | 14 | | 18 | 12 | | 19 | 3 | | 20 | 17 | | 21 | 19 | | 22 | 10 | | 23 | 14 | | 24 | 7 | | 25 | 3 | | 26 | 4 | | 27 | 12 | | 28 | 14 | | 29 | 4 | | 30 | 4 | | 31 | 6 | | 32 | 4 | | 33 | 14 | | 34 | 34 | | 35 | 13 | | 36 | 9 | | 37 | 1 | | 38 | 14 | | 39 | 19 | | 40 | 5 | | 41 | 4 | | 42 | 18 | | 43 | 4 | | 44 | 5 | | 45 | 15 | | 46 | 27 | | 47 | 3 | | 48 | 7 | | 49 | 16 |
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| 45.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.2978723404255319 | | totalSentences | 141 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 97 | | matches | | 0 | "Even the green neon sign" | | 1 | "Then, without a word, he" | | 2 | "Then, without a word, he" | | 3 | "Then he reached for the" |
| | ratio | 0.041 | |
| 67.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 97 | | matches | | 0 | "She’d heard worse." | | 1 | "she said, because it was" | | 2 | "His gaze flicked to the" | | 3 | "he checked his watch, a" | | 4 | "she asked, nodding toward the" | | 5 | "He pushed off the counter," | | 6 | "She didn’t have to." | | 7 | "He slid the drink toward" | | 8 | "She could feel his eyes" | | 9 | "She took a sip, letting" | | 10 | "He leaned back against the" | | 11 | "He reached for a rag," | | 12 | "He tossed the rag aside" | | 13 | "She opened her mouth to" | | 14 | "He wasn’t wrong." | | 15 | "She *had* been halfway out" | | 16 | "His expression didn’t change, but" | | 17 | "She didn’t answer." | | 18 | "She didn’t have to." | | 19 | "Her fingers brushed against a" |
| | ratio | 0.381 | |
| 27.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 97 | | matches | | 0 | "The glass slipped from her" | | 1 | "Rory didn’t flinch." | | 2 | "She’d heard worse." | | 3 | "The bar’s dim light caught" | | 4 | "The voice came from behind" | | 5 | "Rory turned slowly, the crescent" | | 6 | "Silas stood there, leaning against" | | 7 | "The signet ring on his" | | 8 | "she said, because it was" | | 9 | "His gaze flicked to the" | | 10 | "he checked his watch, a" | | 11 | "The air between them thickened," | | 12 | "Rory reached for the nearest" | | 13 | "The Raven’s Nest hadn’t changed." | | 14 | "The slight limp in his" | | 15 | "The way his hazel eyes" | | 16 | "she asked, nodding toward the" | | 17 | "He pushed off the counter," | | 18 | "Rory didn’t answer." | | 19 | "She didn’t have to." |
| | ratio | 0.866 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 97 | | matches | | 0 | "Because he was right." | | 1 | "Because some doors, once closed," |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 3 | | matches | | 0 | "Rory turned slowly, the crescent scar on her wrist prickling as if it remembered him too." | | 1 | "Silas studied her for a long moment, his fingers tapping against the counter like he was counting the beats of her silence." | | 2 | "Silas stood there for a long moment, listening to the sound of her footsteps fading into the night." |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "He leaned back, the wood creaking under his weight" | | 1 | "she said, her voice barely above a whisper" | | 2 | "she said, her voice steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 55 | | tagDensity | 0.109 | | leniency | 0.218 | | rawRatio | 0 | | effectiveRatio | 0 | |