| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 39 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said finally [finally]" | | 1 | "Rory softened just [just]" |
| | dialogueSentences | 98 | | tagDensity | 0.398 | | leniency | 0.796 | | rawRatio | 0.051 | | effectiveRatio | 0.041 | |
| 94.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1714 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 85.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1714 | | totalAiIsms | 5 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "practiced ease" | | 1 | "dancing" | | 2 | "silence" | | 3 | "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 | 0 | | narrationSentences | 129 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | | |
| 99.78% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 188 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 1 | | maxSentenceWordsSeen | 40 | | ratio | 0.005 | | matches | | 0 | "\"I wish I'd never met Evan. I wish I'd stayed in Cardiff. I wish I'd taken the pupillage, fought the fight, become the barrister my father wanted. I wish I'd called you. I wish—\" S…" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1711 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 32 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 82 | | wordCount | 921 | | uniqueNames | 11 | | maxNameDensity | 3.69 | | worstName | "Rory" | | maxWindowNameDensity | 7 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Carter | 1 | | Cardiff | 1 | | Rory | 34 | | Eva | 33 | | Silas | 7 | | Shook | 1 | | Lila | 1 | | Friday | 1 | | Manchester | 1 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Silas" | | 5 | "Lila" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.584 | | wordCount | 1711 | | matches | | 0 | "not exactly fighting the good fight, but it beats billing hours" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 188 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 94 | | mean | 18.2 | | std | 15.26 | | cv | 0.838 | | sampleLengths | | 0 | 82 | | 1 | 20 | | 2 | 7 | | 3 | 10 | | 4 | 43 | | 5 | 53 | | 6 | 6 | | 7 | 34 | | 8 | 1 | | 9 | 22 | | 10 | 16 | | 11 | 30 | | 12 | 18 | | 13 | 24 | | 14 | 42 | | 15 | 6 | | 16 | 43 | | 17 | 3 | | 18 | 12 | | 19 | 11 | | 20 | 44 | | 21 | 16 | | 22 | 11 | | 23 | 9 | | 24 | 17 | | 25 | 19 | | 26 | 9 | | 27 | 16 | | 28 | 2 | | 29 | 19 | | 30 | 16 | | 31 | 18 | | 32 | 39 | | 33 | 14 | | 34 | 7 | | 35 | 40 | | 36 | 7 | | 37 | 24 | | 38 | 13 | | 39 | 2 | | 40 | 39 | | 41 | 47 | | 42 | 4 | | 43 | 37 | | 44 | 38 | | 45 | 17 | | 46 | 15 | | 47 | 7 | | 48 | 7 | | 49 | 58 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 177 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 188 | | ratio | 0.011 | | matches | | 0 | "Her hair was different—shorter, sharper, a sleek blonde bob that caught the neon glow from the sign outside." | | 1 | "He set a fresh glass on the bar—whiskey, neat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 930 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03118279569892473 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007526881720430108 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 188 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 188 | | mean | 9.1 | | std | 7.55 | | cv | 0.829 | | sampleLengths | | 0 | 16 | | 1 | 19 | | 2 | 19 | | 3 | 28 | | 4 | 16 | | 5 | 4 | | 6 | 5 | | 7 | 2 | | 8 | 10 | | 9 | 6 | | 10 | 34 | | 11 | 3 | | 12 | 12 | | 13 | 18 | | 14 | 6 | | 15 | 17 | | 16 | 6 | | 17 | 14 | | 18 | 17 | | 19 | 3 | | 20 | 1 | | 21 | 6 | | 22 | 16 | | 23 | 5 | | 24 | 6 | | 25 | 5 | | 26 | 14 | | 27 | 16 | | 28 | 6 | | 29 | 10 | | 30 | 2 | | 31 | 7 | | 32 | 17 | | 33 | 3 | | 34 | 22 | | 35 | 4 | | 36 | 2 | | 37 | 11 | | 38 | 6 | | 39 | 39 | | 40 | 4 | | 41 | 3 | | 42 | 12 | | 43 | 6 | | 44 | 5 | | 45 | 20 | | 46 | 24 | | 47 | 4 | | 48 | 9 | | 49 | 3 |
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| 50.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.32978723404255317 | | totalSentences | 188 | | uniqueOpeners | 62 | |
| 33.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 100 | | matches | | 0 | "Somewhere in the city, a" |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 100 | | matches | | 0 | "she called out" | | 1 | "It was a voice from" | | 2 | "Her hair was different—shorter, sharper," | | 3 | "She slid onto a stool" | | 4 | "She slid it across the" | | 5 | "He was, in fact, still" | | 6 | "She hadn't noticed." | | 7 | "It was subtle, a tightening" | | 8 | "They sat in silence." | | 9 | "He didn't look at them." | | 10 | "She pressed her lips together." | | 11 | "She blinked rapidly, the way" | | 12 | "They looked at each other." | | 13 | "She looked different in this" | | 14 | "She stood, pulling cash from" | | 15 | "She paused on the threshold," | | 16 | "He set a fresh glass" | | 17 | "He tapped his signet ring" | | 18 | "He just kept polishing." | | 19 | "She thought about Friday." |
| | ratio | 0.23 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 100 | | matches | | 0 | "Aurora Carter wiped down the" | | 1 | "The evening crowd was thin," | | 2 | "Silas stood at the far" | | 3 | "The door swung open, bringing" | | 4 | "Rory didn't look up." | | 5 | "she called out" | | 6 | "The voice stopped her hand" | | 7 | "It was a voice from" | | 8 | "Rory looked up." | | 9 | "Eva stood by the door," | | 10 | "Her hair was different—shorter, sharper," | | 11 | "The face was the same," | | 12 | "Rory's voice came out flat" | | 13 | "Eva walked to the bar," | | 14 | "She slid onto a stool" | | 15 | "Eva laughed, a short, brittle" | | 16 | "Rory poured the gin, generous." | | 17 | "She slid it across the" | | 18 | "Eva wrapped her fingers around" | | 19 | "The name landed like a" |
| | ratio | 0.92 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "Silas stood at the far end, polishing a pint glass with a cloth that had seen better days, his gaze fixed on some middle distance beyond the walls." | | 1 | "Her hair was different—shorter, sharper, a sleek blonde bob that caught the neon glow from the sign outside." | | 2 | "Same sharp cheekbones, same wide-set brown eyes that had once convinced Rory to do just about anything." |
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| 99.36% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 39 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva walked, heels clicking on the worn floorboards" | | 1 | "Eva said finally, her voice quieter now" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 98 | | tagDensity | 0.173 | | leniency | 0.347 | | rawRatio | 0.059 | | effectiveRatio | 0.02 | |