| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 4 | | adverbTags | | 0 | "I stepped back [back]" | | 1 | "Sarcasm felt like [like]" | | 2 | "The black eye narrowed slightly [slightly]" | | 3 | "I turned away [away]" |
| | dialogueSentences | 56 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0.182 | | effectiveRatio | 0.143 | |
| 75.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1214 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "carefully" | | 1 | "slowly" | | 2 | "deliberately" | | 3 | "perfectly" | | 4 | "slightly" | | 5 | "quickly" |
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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) | |
| 25.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1214 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "porcelain" | | 1 | "echoed" | | 2 | "determined" | | 3 | "pounding" | | 4 | "weight" | | 5 | "stark" | | 6 | "flicked" | | 7 | "absolutely" | | 8 | "scanned" | | 9 | "silence" | | 10 | "flicker" | | 11 | "calculating" | | 12 | "enigmatic" | | 13 | "whisper" |
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| 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 | 1 | | narrationSentences | 100 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1221 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 781 | | uniqueNames | 7 | | maxNameDensity | 0.77 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | French | 1 | | Eva | 2 | | Lucien | 6 | | Old | 1 | | Iceland | 2 | | Ptolemy | 5 | | Thames | 1 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Ptolemy" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a tightening in my chest" | | 1 | "felt like the weight of weeks, I set th" |
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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 | 1221 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 20.69 | | std | 15.96 | | cv | 0.771 | | sampleLengths | | 0 | 57 | | 1 | 6 | | 2 | 24 | | 3 | 41 | | 4 | 10 | | 5 | 15 | | 6 | 40 | | 7 | 16 | | 8 | 55 | | 9 | 5 | | 10 | 58 | | 11 | 7 | | 12 | 31 | | 13 | 23 | | 14 | 9 | | 15 | 15 | | 16 | 40 | | 17 | 11 | | 18 | 40 | | 19 | 11 | | 20 | 21 | | 21 | 27 | | 22 | 7 | | 23 | 30 | | 24 | 10 | | 25 | 69 | | 26 | 27 | | 27 | 4 | | 28 | 2 | | 29 | 5 | | 30 | 1 | | 31 | 32 | | 32 | 11 | | 33 | 20 | | 34 | 9 | | 35 | 12 | | 36 | 27 | | 37 | 7 | | 38 | 34 | | 39 | 13 | | 40 | 11 | | 41 | 3 | | 42 | 18 | | 43 | 25 | | 44 | 8 | | 45 | 27 | | 46 | 5 | | 47 | 2 | | 48 | 25 | | 49 | 8 |
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| 94.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 100 | | matches | | 0 | "was slicked" | | 1 | "got drawn" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 154 | | matches | | 0 | "wasn’t working" | | 1 | "was using" |
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| 55.62% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 131 | | ratio | 0.031 | | matches | | 0 | "With a sigh that felt like the weight of weeks, I set the mug down – carefully, determined not to shatter it – and walked toward the door." | | 1 | "Still impeccably tailored – charcoal suit, crisp white shirt, a subtle silver tie clip." | | 2 | "The scent of his cologne – sandalwood and something darker, something expensive – filled my senses." | | 3 | "A jolt of electricity – unwanted, unwelcome – shot up my arm." |
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| 80.39% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 774 | | adjectiveStacks | 1 | | stackExamples | | 0 | "beautiful, complicated, terrifying disaster." |
| | adverbCount | 43 | | adverbRatio | 0.05555555555555555 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.01808785529715762 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 9.32 | | std | 6.37 | | cv | 0.684 | | sampleLengths | | 0 | 8 | | 1 | 6 | | 2 | 11 | | 3 | 20 | | 4 | 6 | | 5 | 6 | | 6 | 6 | | 7 | 2 | | 8 | 21 | | 9 | 1 | | 10 | 6 | | 11 | 15 | | 12 | 5 | | 13 | 5 | | 14 | 10 | | 15 | 10 | | 16 | 15 | | 17 | 2 | | 18 | 18 | | 19 | 17 | | 20 | 3 | | 21 | 10 | | 22 | 6 | | 23 | 1 | | 24 | 4 | | 25 | 28 | | 26 | 6 | | 27 | 2 | | 28 | 3 | | 29 | 11 | | 30 | 5 | | 31 | 3 | | 32 | 14 | | 33 | 21 | | 34 | 8 | | 35 | 2 | | 36 | 10 | | 37 | 7 | | 38 | 10 | | 39 | 11 | | 40 | 6 | | 41 | 3 | | 42 | 1 | | 43 | 12 | | 44 | 11 | | 45 | 5 | | 46 | 4 | | 47 | 8 | | 48 | 7 | | 49 | 32 |
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| 62.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3969465648854962 | | totalSentences | 131 | | uniqueOpeners | 52 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 90 | | matches | | 0 | "Finally, he exhaled, a puff" | | 1 | "Just that cool, calculating gaze." |
| | ratio | 0.022 | |
| 11.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 90 | | matches | | 0 | "I hadn’t even registered making" | | 1 | "It came again, harder this" | | 2 | "My grip tightened on the" | | 3 | "I hadn’t seen Lucien since…" | | 4 | "I called, hoping he’d take" | | 5 | "He made it sound like" | | 6 | "I considered feigning deafness, barricading" | | 7 | "I undid them slowly, each" | | 8 | "I pulled the door open." | | 9 | "He hadn’t changed." | | 10 | "His platinum blond hair was" | | 11 | "I forced myself to meet" | | 12 | "I said, my voice deliberately" | | 13 | "He didn’t offer a smile," | | 14 | "His gaze flicked over me," | | 15 | "I hated when he did" | | 16 | "I stepped back, creating a" | | 17 | "He scanned the flat, his" | | 18 | "He took a step closer," | | 19 | "I hadn’t realised how much" |
| | ratio | 0.522 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 90 | | matches | | 0 | "The chipped porcelain felt cold" | | 1 | "I hadn’t even registered making" | | 2 | "Steam curled, blurring the already" | | 3 | "A persistent rapping echoed from" | | 4 | "It came again, harder this" | | 5 | "A smooth rasp, laced with" | | 6 | "My grip tightened on the" | | 7 | "Ptolemy, Eva’s absurdly fluffy tabby," | | 8 | "I hadn’t seen Lucien since…" | | 9 | "I called, hoping he’d take" | | 10 | "He made it sound like" | | 11 | "I considered feigning deafness, barricading" | | 12 | "Iceland sounded good." | | 13 | "The rapping started again, evolving" | | 14 | "Ptolemy followed, tail twitching with" | | 15 | "Eva’s paranoid masterpiece." | | 16 | "I undid them slowly, each" | | 17 | "I pulled the door open." | | 18 | "He hadn’t changed." | | 19 | "His platinum blond hair was" |
| | ratio | 0.833 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 90 | | matches | | 0 | "To throw a book at" | | 1 | "To tell him to get" |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 56.82% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 3 | | matches | | 0 | "I said, my voice deliberately flat" | | 1 | "He paused, his gaze locking with mine again" | | 2 | "I echoed, my voice barely a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 56 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0.25 | | effectiveRatio | 0.036 | |