| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 2 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "she said instead [instead]" |
| | dialogueSentences | 89 | | tagDensity | 0.337 | | leniency | 0.674 | | rawRatio | 0.067 | | effectiveRatio | 0.045 | |
| 94.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1772 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 94.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1772 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 82 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 5 | | totalWords | 1786 | | ratio | 0.003 | | matches | | 0 | "crescent, old, left wrist" | | 1 | "nothing" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 32 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 968 | | uniqueNames | 9 | | maxNameDensity | 0.31 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 3 | | Cardiff | 1 | | Started | 1 | | Ptolemy | 3 | | Soho | 1 | | Thursday | 1 | | Yu-Fei | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | | places | | 0 | "Cardiff" | | 1 | "Soho" | | 2 | "Yu-Fei" | | 3 | "Brick" | | 4 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1786 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 132 | | matches | | 0 | "hated that she" | | 1 | "let that sit" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 78 | | mean | 22.9 | | std | 25.07 | | cv | 1.095 | | sampleLengths | | 0 | 37 | | 1 | 1 | | 2 | 32 | | 3 | 6 | | 4 | 6 | | 5 | 7 | | 6 | 72 | | 7 | 21 | | 8 | 70 | | 9 | 11 | | 10 | 32 | | 11 | 5 | | 12 | 55 | | 13 | 20 | | 14 | 13 | | 15 | 6 | | 16 | 37 | | 17 | 6 | | 18 | 11 | | 19 | 65 | | 20 | 1 | | 21 | 17 | | 22 | 21 | | 23 | 5 | | 24 | 76 | | 25 | 3 | | 26 | 2 | | 27 | 2 | | 28 | 95 | | 29 | 21 | | 30 | 102 | | 31 | 10 | | 32 | 16 | | 33 | 2 | | 34 | 18 | | 35 | 74 | | 36 | 5 | | 37 | 2 | | 38 | 6 | | 39 | 2 | | 40 | 19 | | 41 | 17 | | 42 | 17 | | 43 | 4 | | 44 | 17 | | 45 | 25 | | 46 | 76 | | 47 | 58 | | 48 | 31 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 161 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 3 | | flaggedSentences | 11 | | totalSentences | 132 | | ratio | 0.083 | | matches | | 0 | "The chain snapped taut and the door stopped at three inches, and through the gap she could see one eye — amber, catching the stairwell bulb — and the shoulder of a charcoal suit dark with rain." | | 1 | "\"It's eleven forty. You're in bare feet and your hair's wet and you've been crying, or you've been at the sink. I'd guess the sink.\" He said it without cruelty, the way he said everything — as if the information were simply there, available, and he had never learned to pretend it wasn't." | | 2 | "That was the trouble with Eva's flat; it was a corridor that had ambitions." | | 3 | "Lucien turned his hat — no hat." | | 4 | "Her name, her shift patterns, a note about the scar on her left wrist — *crescent, old, left wrist* — in his slanting, deliberate hand." | | 5 | "Something changed in his face — the smallest loosening, a door opening a crack." | | 6 | "She found a cup — a chipped one, she wasn't going to give him the good cup, that was a principle — and poured." | | 7 | "His hand was warm; the cup was hot; the flat smelled of wet cat and old books and the curry house three floors down, and somewhere out on Brick Lane a night bus dragged past with a sound like a sigh." | | 8 | "In the low light the black eye was almost the same as the amber one — just a darkness with something moving in it." | | 9 | "She laughed — one short breath of it, entirely against her will." | | 10 | "\"Then I'll blame Eva.\" He looked round the flat properly for the first time — the tower of books by the window, the scrolls, the desk heaped with Eva's crabbed marginalia." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 991 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.025227043390514632 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010090817356205853 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 13.53 | | std | 14.45 | | cv | 1.068 | | sampleLengths | | 0 | 37 | | 1 | 1 | | 2 | 3 | | 3 | 29 | | 4 | 6 | | 5 | 6 | | 6 | 7 | | 7 | 53 | | 8 | 19 | | 9 | 7 | | 10 | 14 | | 11 | 10 | | 12 | 14 | | 13 | 24 | | 14 | 7 | | 15 | 2 | | 16 | 13 | | 17 | 9 | | 18 | 2 | | 19 | 17 | | 20 | 15 | | 21 | 5 | | 22 | 55 | | 23 | 20 | | 24 | 9 | | 25 | 4 | | 26 | 6 | | 27 | 20 | | 28 | 17 | | 29 | 3 | | 30 | 3 | | 31 | 7 | | 32 | 4 | | 33 | 23 | | 34 | 33 | | 35 | 3 | | 36 | 6 | | 37 | 1 | | 38 | 6 | | 39 | 11 | | 40 | 10 | | 41 | 11 | | 42 | 5 | | 43 | 13 | | 44 | 63 | | 45 | 3 | | 46 | 2 | | 47 | 2 | | 48 | 6 | | 49 | 6 |
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| 67.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4393939393939394 | | totalSentences | 132 | | uniqueOpeners | 58 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Then she shut the door," |
| | ratio | 0.016 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 63 | | matches | | 0 | "She didn't move." | | 1 | "she said, to the cat" | | 2 | "He said it without cruelty," | | 3 | "She looked at him a" | | 4 | "He stepped in and took" | | 5 | "He turned, and looked for" | | 6 | "He lifted his hands, palms" | | 7 | "He watched her face, and" | | 8 | "He almost smiled" | | 9 | "He looked at the window," | | 10 | "she said, and heard her" | | 11 | "She held up a hand" | | 12 | "He said it evenly" | | 13 | "He shifted the cane" | | 14 | "She had walked out of" | | 15 | "Her name, her shift patterns," | | 16 | "She had thought: I could" | | 17 | "She had thought: I could" | | 18 | "she said, still looking at" | | 19 | "She turned round." |
| | ratio | 0.667 | |
| 7.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 63 | | matches | | 0 | "The chain snapped taut and" | | 1 | "She didn't move." | | 2 | "Ptolemy came off the arm" | | 3 | "she said, to the cat" | | 4 | "He said it without cruelty," | | 5 | "She looked at him a" | | 6 | "He stepped in and took" | | 7 | "That was the trouble with" | | 8 | "Books stacked hip-high along every" | | 9 | "Lucien turned his hat —" | | 10 | "He turned, and looked for" | | 11 | "He lifted his hands, palms" | | 12 | "Rain ran off the ivory" | | 13 | "He watched her face, and" | | 14 | "He almost smiled" | | 15 | "He looked at the window," | | 16 | "The kettle clicked off in" | | 17 | "Neither of them moved." | | 18 | "she said, and heard her" | | 19 | "She held up a hand" |
| | ratio | 0.905 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "He nodded slowly, as if she'd handed him something heavy and he was taking the weight of it carefully." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 30 | | uselessAdditionCount | 2 | | matches | | 0 | "He watched, and whatever he found there made him add, more quietly," | | 1 | "He looked, the scrolls, the desk heaped with Eva's crabbed marginalia" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 89 | | tagDensity | 0.191 | | leniency | 0.382 | | rawRatio | 0.059 | | effectiveRatio | 0.022 | |