| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "He stopped directly [directly]" |
| | dialogueSentences | 34 | | tagDensity | 0.265 | | leniency | 0.529 | | rawRatio | 0.111 | | effectiveRatio | 0.059 | |
| 75.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1222 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "perfectly" | | 1 | "slightly" | | 2 | "softly" | | 3 | "very" | | 4 | "precisely" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 46.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1222 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "echoed" | | 1 | "weight" | | 2 | "chaotic" | | 3 | "charged" | | 4 | "testament" | | 5 | "stomach" | | 6 | "could feel" | | 7 | "chill" | | 8 | "vibrated" | | 9 | "silence" | | 10 | "unwavering" | | 11 | "whisper" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 75 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1214 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 753 | | uniqueNames | 8 | | maxNameDensity | 0.93 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Rory | 7 | | Lucien | 7 | | Maps | 1 | | London | 2 | | Moreau | 1 | | Ptolemy | 3 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Ptolemy" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 51.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a defeat, she slid the chain" | | 1 | "as if inviting Lucien to sit" |
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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 | 1214 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 28.9 | | std | 17.63 | | cv | 0.61 | | sampleLengths | | 0 | 51 | | 1 | 38 | | 2 | 34 | | 3 | 40 | | 4 | 5 | | 5 | 56 | | 6 | 10 | | 7 | 48 | | 8 | 20 | | 9 | 6 | | 10 | 32 | | 11 | 45 | | 12 | 39 | | 13 | 28 | | 14 | 38 | | 15 | 48 | | 16 | 51 | | 17 | 41 | | 18 | 8 | | 19 | 27 | | 20 | 38 | | 21 | 10 | | 22 | 46 | | 23 | 7 | | 24 | 44 | | 25 | 3 | | 26 | 24 | | 27 | 7 | | 28 | 38 | | 29 | 19 | | 30 | 9 | | 31 | 28 | | 32 | 5 | | 33 | 65 | | 34 | 4 | | 35 | 35 | | 36 | 17 | | 37 | 37 | | 38 | 59 | | 39 | 38 | | 40 | 10 | | 41 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 128 | | matches | | 0 | "was willing" | | 1 | "was making" | | 2 | "was going" | | 3 | "was going" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 99 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 760 | | adjectiveStacks | 1 | | stackExamples | | 0 | "dingy, curry-scented hallway" |
| | adverbCount | 23 | | adverbRatio | 0.030263157894736843 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010526315789473684 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 12.26 | | std | 9 | | cv | 0.734 | | sampleLengths | | 0 | 5 | | 1 | 20 | | 2 | 20 | | 3 | 4 | | 4 | 1 | | 5 | 1 | | 6 | 12 | | 7 | 19 | | 8 | 7 | | 9 | 2 | | 10 | 14 | | 11 | 17 | | 12 | 1 | | 13 | 12 | | 14 | 10 | | 15 | 18 | | 16 | 5 | | 17 | 17 | | 18 | 18 | | 19 | 21 | | 20 | 10 | | 21 | 9 | | 22 | 29 | | 23 | 4 | | 24 | 6 | | 25 | 7 | | 26 | 13 | | 27 | 6 | | 28 | 16 | | 29 | 16 | | 30 | 3 | | 31 | 4 | | 32 | 8 | | 33 | 18 | | 34 | 12 | | 35 | 39 | | 36 | 12 | | 37 | 2 | | 38 | 1 | | 39 | 13 | | 40 | 7 | | 41 | 13 | | 42 | 18 | | 43 | 14 | | 44 | 20 | | 45 | 14 | | 46 | 24 | | 47 | 2 | | 48 | 5 | | 49 | 20 |
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| 64.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.42424242424242425 | | totalSentences | 99 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 52.84% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 67 | | matches | | 0 | "Her fingers worked the three" | | 1 | "She left the chain on," | | 2 | "He stood in the dingy," | | 3 | "He leaned slightly on his" | | 4 | "Her voice was flat, cool" | | 5 | "She kept her gaze fixed" | | 6 | "She’d learned that the hard" | | 7 | "He shifted his weight, the" | | 8 | "He always had a reason," | | 9 | "she said, her voice laced" | | 10 | "He didn't sound sorry" | | 11 | "He knew how to push" | | 12 | "He moved past her into" | | 13 | "He ran a gloved finger" | | 14 | "He turned his attention back" | | 15 | "He was the spider at" | | 16 | "He gestured with the cane" | | 17 | "He took a step closer," | | 18 | "She knew where this was" | | 19 | "She hated where this was" |
| | ratio | 0.418 | |
| 19.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 67 | | matches | | 0 | "The knock was a statement." | | 1 | "This knock was deliberate." | | 2 | "Rory paused, her hand hovering" | | 3 | "Ptolemy, her tabby cat, lifted" | | 4 | "A low growl rumbled in" | | 5 | "The distorted fisheye view confirmed" | | 6 | "Her fingers worked the three" | | 7 | "The last one, a heavy" | | 8 | "She left the chain on," | | 9 | "He stood in the dingy," | | 10 | "The flickering single bulb caught" | | 11 | "He leaned slightly on his" | | 12 | "Her voice was flat, cool" | | 13 | "She kept her gaze fixed" | | 14 | "Attraction was a liability." | | 15 | "She’d learned that the hard" | | 16 | "A faint, wry smile touched" | | 17 | "He shifted his weight, the" | | 18 | "Rory’s jaw tightened." | | 19 | "This was his game." |
| | ratio | 0.881 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Even before she padded to" |
| | ratio | 0.015 | |
| 27.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 5 | | matches | | 0 | "Three sharp, precise raps that echoed through the cramped flat, each one a nail in the coffin of her evening." | | 1 | "He stood in the dingy, curry-scented hallway of the Brick Lane building as if he owned it." | | 2 | "He leaned slightly on his ivory-handled cane, a picture of casual elegance that was an insult to the grime around him." | | 3 | "He moved past her into the flat, a presence that swallowed the small space." | | 4 | "Ptolemy, who had been hissing a moment ago, trotted over and began to weave figure-eights around Lucien’s polished shoes, purring like a faulty engine." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "Lucien observed, his gaze sweeping over the chaotic room" | | 1 | "he continued, his gaze unwavering," |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Lucien observed (observe)" | | 1 | "he continued (continue)" |
| | dialogueSentences | 34 | | tagDensity | 0.088 | | leniency | 0.176 | | rawRatio | 0.667 | | effectiveRatio | 0.118 | |