| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 1 | | adverbTags | | 0 | "The name felt like [like]" |
| | dialogueSentences | 39 | | tagDensity | 0.641 | | leniency | 1 | | rawRatio | 0.04 | | effectiveRatio | 0.04 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1244 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 75.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1244 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "warmth" | | 1 | "silence" | | 2 | "stomach" | | 3 | "standard" | | 4 | "pulse" |
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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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 116 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 15 | | totalWords | 1244 | | ratio | 0.012 | | matches | | 0 | "we are empty" | | 1 | "you are the only one who knew me before the ghosts came" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 974 | | uniqueNames | 13 | | maxNameDensity | 1.23 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | London | 1 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Silas | 12 | | Blackwood | 2 | | Russian | 1 | | Prague | 1 | | Spymaster | 2 | | Golden | 1 | | Empress | 1 | | Cardiff | 1 | | Rory | 3 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Blackwood" | | 3 | "Rory" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Prague" | | 3 | "Golden" | | 4 | "Cardiff" |
| | globalScore | 0.884 | | windowScore | 0.667 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like secrets" | | 1 | "felt like a key in a lock that was rust" |
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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 | 1244 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 26.47 | | std | 23.78 | | cv | 0.899 | | sampleLengths | | 0 | 80 | | 1 | 42 | | 2 | 53 | | 3 | 91 | | 4 | 23 | | 5 | 50 | | 6 | 14 | | 7 | 94 | | 8 | 22 | | 9 | 42 | | 10 | 39 | | 11 | 10 | | 12 | 33 | | 13 | 17 | | 14 | 10 | | 15 | 17 | | 16 | 8 | | 17 | 13 | | 18 | 26 | | 19 | 36 | | 20 | 35 | | 21 | 48 | | 22 | 51 | | 23 | 30 | | 24 | 18 | | 25 | 7 | | 26 | 27 | | 27 | 10 | | 28 | 29 | | 29 | 10 | | 30 | 6 | | 31 | 14 | | 32 | 13 | | 33 | 7 | | 34 | 86 | | 35 | 5 | | 36 | 8 | | 37 | 5 | | 38 | 4 | | 39 | 12 | | 40 | 5 | | 41 | 10 | | 42 | 8 | | 43 | 8 | | 44 | 51 | | 45 | 3 | | 46 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 116 | | matches | | |
| 22.70% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 188 | | matches | | 0 | "was aiming" | | 1 | "was standing" | | 2 | "was still sitting" | | 3 | "was gripping" | | 4 | "were not watching" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 129 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 981 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.022426095820591234 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0050968399592252805 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 9.64 | | std | 5.76 | | cv | 0.597 | | sampleLengths | | 0 | 20 | | 1 | 15 | | 2 | 21 | | 3 | 4 | | 4 | 20 | | 5 | 18 | | 6 | 13 | | 7 | 11 | | 8 | 13 | | 9 | 3 | | 10 | 15 | | 11 | 9 | | 12 | 13 | | 13 | 15 | | 14 | 18 | | 15 | 12 | | 16 | 21 | | 17 | 25 | | 18 | 2 | | 19 | 2 | | 20 | 19 | | 21 | 10 | | 22 | 4 | | 23 | 22 | | 24 | 14 | | 25 | 14 | | 26 | 20 | | 27 | 9 | | 28 | 5 | | 29 | 18 | | 30 | 3 | | 31 | 18 | | 32 | 21 | | 33 | 12 | | 34 | 10 | | 35 | 8 | | 36 | 3 | | 37 | 9 | | 38 | 17 | | 39 | 5 | | 40 | 12 | | 41 | 5 | | 42 | 3 | | 43 | 19 | | 44 | 6 | | 45 | 4 | | 46 | 5 | | 47 | 16 | | 48 | 5 | | 49 | 7 |
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| 27.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.1937984496124031 | | totalSentences | 129 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 63 | | totalSentences | 91 | | matches | | 0 | "It was the kind of" | | 1 | "She moved through the clutch" | | 2 | "She was aiming for the" | | 3 | "She knew him." | | 4 | "He was the air you" | | 5 | "She walked over, a bowl" | | 6 | "Her eyes were bright blue" | | 7 | "She stopped just outside the" | | 8 | "He looked older than the" | | 9 | "His voice was a rasp," | | 10 | "He didn't stand up." | | 11 | "He had the limp still" | | 12 | "He looked 58, but when" | | 13 | "He lifted a hand, and" | | 14 | "She needed to think of" | | 15 | "It was the wrong time." | | 16 | "She had left her job" | | 17 | "They were old friends, or" | | 18 | "He had trained her in" | | 19 | "He leaned forward, the signet" |
| | ratio | 0.692 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 91 | | matches | | 0 | "The neon sign above the" | | 1 | "The light was green, distinct" | | 2 | "Aurora pulled her coat tighter," | | 3 | "Warmth swallowed her immediately." | | 4 | "It was the kind of" | | 5 | "She moved through the clutch" | | 6 | "She was aiming for the" | | 7 | "Someone was standing there, too" | | 8 | "Rory stepped off the stool" | | 9 | "She knew him." | | 10 | "The bar was Silas Blackwood's" | | 11 | "He was the air you" | | 12 | "She walked over, a bowl" | | 13 | "Her eyes were bright blue" | | 14 | "She stopped just outside the" | | 15 | "He looked older than the" | | 16 | "His voice was a rasp," | | 17 | "He didn't stand up." | | 18 | "He had the limp still" | | 19 | "He looked 58, but when" |
| | ratio | 0.923 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 91 | | matches | | 0 | "Now he was sixty-two years" | | 1 | "Now he wore a silver" |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 1 | | matches | | 0 | "He lifted a hand, and she saw the pale grey-streaked auburn hair that had been grey for ten years already." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 22 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.564 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |