| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rourke gestured vaguely [vaguely]" |
| | dialogueSentences | 42 | | tagDensity | 0.262 | | leniency | 0.524 | | rawRatio | 0.091 | | effectiveRatio | 0.048 | |
| 83.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1206 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "perfectly" | | 2 | "lazily" | | 3 | "slightly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 70.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1206 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "etched" | | 1 | "shattered" | | 2 | "intricate" | | 3 | "weight" | | 4 | "echoed" | | 5 | "determined" | | 6 | "flickered" |
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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 | 1 | | narrationSentences | 107 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1206 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 837 | | uniqueNames | 11 | | maxNameDensity | 1.31 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Metropolitan | 1 | | Line | 1 | | Camden | 1 | | Quinn | 11 | | Tube | 1 | | Compass | 3 | | Shade | 1 | | Rourke | 7 | | Morris | 3 | | Bermondsey | 1 | | Eva | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Compass" | | 2 | "Rourke" | | 3 | "Morris" | | 4 | "Eva" |
| | places | | | globalScore | 0.843 | | windowScore | 1 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "quite make out in the torchlight" | | 1 | "spiral that seemed to recede into the wall itself" |
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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 | 1206 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 138 | | matches | | 0 | "seen that symbol" | | 1 | "seen that pattern" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 21.54 | | std | 17.84 | | cv | 0.828 | | sampleLengths | | 0 | 26 | | 1 | 40 | | 2 | 6 | | 3 | 28 | | 4 | 44 | | 5 | 37 | | 6 | 2 | | 7 | 33 | | 8 | 2 | | 9 | 1 | | 10 | 35 | | 11 | 3 | | 12 | 41 | | 13 | 1 | | 14 | 12 | | 15 | 39 | | 16 | 4 | | 17 | 1 | | 18 | 12 | | 19 | 43 | | 20 | 72 | | 21 | 6 | | 22 | 25 | | 23 | 19 | | 24 | 28 | | 25 | 60 | | 26 | 11 | | 27 | 41 | | 28 | 16 | | 29 | 7 | | 30 | 22 | | 31 | 5 | | 32 | 15 | | 33 | 17 | | 34 | 8 | | 35 | 2 | | 36 | 60 | | 37 | 7 | | 38 | 4 | | 39 | 31 | | 40 | 13 | | 41 | 54 | | 42 | 42 | | 43 | 2 | | 44 | 11 | | 45 | 32 | | 46 | 6 | | 47 | 31 | | 48 | 3 | | 49 | 40 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 60.14% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 143 | | matches | | 0 | "weren't bearing" | | 1 | "wasn't gripping" | | 2 | "was looking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 138 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 838 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.026252983293556086 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010739856801909307 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 8.74 | | std | 6.72 | | cv | 0.769 | | sampleLengths | | 0 | 12 | | 1 | 2 | | 2 | 2 | | 3 | 10 | | 4 | 20 | | 5 | 10 | | 6 | 10 | | 7 | 6 | | 8 | 12 | | 9 | 16 | | 10 | 39 | | 11 | 5 | | 12 | 4 | | 13 | 7 | | 14 | 4 | | 15 | 14 | | 16 | 4 | | 17 | 4 | | 18 | 2 | | 19 | 9 | | 20 | 24 | | 21 | 2 | | 22 | 1 | | 23 | 5 | | 24 | 6 | | 25 | 10 | | 26 | 5 | | 27 | 9 | | 28 | 3 | | 29 | 4 | | 30 | 37 | | 31 | 1 | | 32 | 12 | | 33 | 3 | | 34 | 9 | | 35 | 6 | | 36 | 3 | | 37 | 18 | | 38 | 4 | | 39 | 1 | | 40 | 12 | | 41 | 12 | | 42 | 9 | | 43 | 9 | | 44 | 13 | | 45 | 7 | | 46 | 20 | | 47 | 17 | | 48 | 10 | | 49 | 6 |
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| 71.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.45652173913043476 | | totalSentences | 138 | | uniqueOpeners | 63 | |
| 35.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 94 | | matches | | 0 | "Somewhere below, water dripped in" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 94 | | matches | | 0 | "He had the look of" | | 1 | "His eyes were open." | | 2 | "They shouldn't have been." | | 3 | "His jacket showed no creasing," | | 4 | "His fingernails were clean, trimmed." | | 5 | "She tilted her head, studying" | | 6 | "She waited until he'd gone" | | 7 | "She hadn't meant to bring" | | 8 | "She'd dismissed it as nonsense" | | 9 | "She pulled the Compass out" | | 10 | "It settled, pointing directly at" | | 11 | "She closed the Compass and" | | 12 | "He held up an evidence" | | 13 | "She'd seen that symbol before." | | 14 | "She climbed the steps until" | | 15 | "His arms weren't bearing weight." | | 16 | "She ran her torch along" | | 17 | "She climbed down the ladder" | | 18 | "She was looking at the" | | 19 | "She'd seen that pattern before" |
| | ratio | 0.277 | |
| 66.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 94 | | matches | | 0 | "The body hung from the" | | 1 | "Nothing visible held the man" | | 2 | "Quinn ducked under the faded" | | 3 | "The abandoned Camden station stank" | | 4 | "The younger detective stepped from" | | 5 | "He had the look of" | | 6 | "Rourke gestured vaguely upward" | | 7 | "Quinn approached the body." | | 8 | "His eyes were open." | | 9 | "They shouldn't have been." | | 10 | "Rourke flipped a page" | | 11 | "Quinn circled the body slowly." | | 12 | "The man's tie hung perfectly" | | 13 | "His jacket showed no creasing," | | 14 | "His fingernails were clean, trimmed." | | 15 | "This wasn't a man who'd" | | 16 | "Rourke cleared his throat." | | 17 | "Quinn stopped walking." | | 18 | "She tilted her head, studying" | | 19 | "Something silver glinted at his" |
| | ratio | 0.787 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "She stopped, eyes fixed on the hanging body" | | 1 | "She tucked, fingers trembling" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Eva continued (continue)" |
| | dialogueSentences | 42 | | tagDensity | 0.024 | | leniency | 0.048 | | rawRatio | 1 | | effectiveRatio | 0.048 | |