| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 37 | | tagDensity | 0.486 | | leniency | 0.973 | | rawRatio | 0.056 | | effectiveRatio | 0.054 | |
| 84.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1257 | | totalAiIsmAdverbs | 4 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "deliberately" | | 1 | "suddenly" | | 2 | "carefully" | | 3 | "completely" |
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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) | |
| 28.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1257 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "dancing" | | 1 | "shattered" | | 2 | "porcelain" | | 3 | "calculated" | | 4 | "etched" | | 5 | "weight" | | 6 | "familiar" | | 7 | "amidst" | | 8 | "perfect" | | 9 | "whisper" | | 10 | "scanning" | | 11 | "gleaming" | | 12 | "gloom" |
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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 | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 110 | | filterMatches | | | 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 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1253 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 934 | | uniqueNames | 13 | | maxNameDensity | 1.18 | | worstName | "Davies" | | maxWindowNameDensity | 2 | | worstWindowName | "Davies" | | discoveredNames | | Formica | 1 | | Tuesday | 1 | | Blackwood | 2 | | Kennington | 1 | | Park | 1 | | Road | 1 | | Davies | 11 | | Sentimental | 1 | | Eleanor | 1 | | Scratched | 1 | | Morris | 1 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Blackwood" | | 1 | "Davies" | | 2 | "Sentimental" | | 3 | "Eleanor" | | 4 | "Morris" | | 5 | "Compass" |
| | places | | 0 | "Kennington" | | 1 | "Park" | | 2 | "Road" |
| | globalScore | 0.911 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "ling that this seemingly straightforward cas" |
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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 | 1253 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 132 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 26.1 | | std | 16.07 | | cv | 0.616 | | sampleLengths | | 0 | 39 | | 1 | 33 | | 2 | 29 | | 3 | 49 | | 4 | 11 | | 5 | 35 | | 6 | 40 | | 7 | 37 | | 8 | 56 | | 9 | 13 | | 10 | 20 | | 11 | 66 | | 12 | 8 | | 13 | 19 | | 14 | 42 | | 15 | 56 | | 16 | 8 | | 17 | 16 | | 18 | 23 | | 19 | 19 | | 20 | 15 | | 21 | 30 | | 22 | 11 | | 23 | 28 | | 24 | 10 | | 25 | 26 | | 26 | 21 | | 27 | 60 | | 28 | 17 | | 29 | 4 | | 30 | 36 | | 31 | 8 | | 32 | 8 | | 33 | 7 | | 34 | 44 | | 35 | 16 | | 36 | 8 | | 37 | 16 | | 38 | 41 | | 39 | 12 | | 40 | 30 | | 41 | 32 | | 42 | 46 | | 43 | 19 | | 44 | 23 | | 45 | 15 | | 46 | 4 | | 47 | 47 |
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| 92.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 110 | | matches | | 0 | "was chipped" | | 1 | "been broken" | | 2 | "been stolen" | | 3 | "been touched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 155 | | matches | (empty) | |
| 99.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 132 | | ratio | 0.015 | | matches | | 0 | "Silas had some rather peculiar curios lying around– a shadow box full of dried insects, a silver locket containing a strand of black hair, a tarnished compass etched with symbols that tugged at a half-forgotten memory." | | 1 | "And my gut told me that whatever it was, it was far more complicated—and considerably darker—than a lovers’ quarrel." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 350 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.04 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.011428571428571429 | |
| 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 | 9.49 | | std | 7.14 | | cv | 0.752 | | sampleLengths | | 0 | 9 | | 1 | 9 | | 2 | 21 | | 3 | 19 | | 4 | 5 | | 5 | 4 | | 6 | 2 | | 7 | 3 | | 8 | 13 | | 9 | 13 | | 10 | 3 | | 11 | 8 | | 12 | 6 | | 13 | 5 | | 14 | 9 | | 15 | 8 | | 16 | 13 | | 17 | 6 | | 18 | 5 | | 19 | 35 | | 20 | 6 | | 21 | 17 | | 22 | 1 | | 23 | 1 | | 24 | 2 | | 25 | 13 | | 26 | 7 | | 27 | 15 | | 28 | 11 | | 29 | 1 | | 30 | 1 | | 31 | 2 | | 32 | 22 | | 33 | 11 | | 34 | 6 | | 35 | 13 | | 36 | 4 | | 37 | 13 | | 38 | 12 | | 39 | 8 | | 40 | 9 | | 41 | 14 | | 42 | 36 | | 43 | 4 | | 44 | 3 | | 45 | 8 | | 46 | 2 | | 47 | 17 | | 48 | 4 | | 49 | 2 |
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| 84.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5227272727272727 | | totalSentences | 132 | | uniqueOpeners | 69 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 93 | | matches | | 0 | "All antique, all expensive." | | 1 | "Only the dolls." | | 2 | "Suddenly, my gaze fell upon" | | 3 | "Completely out of place." | | 4 | "Then, I noticed it." | | 5 | "Then, a voice, sharp and" |
| | ratio | 0.065 | |
| 78.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 93 | | matches | | 0 | "It was the scene." | | 1 | "His flash illuminated dust motes" | | 2 | "I didn’t reply, just continued" | | 3 | "I asked, finally" | | 4 | "My voice sounded rough, unused." | | 5 | "It was just off the" | | 6 | "I knelt beside the shattered" | | 7 | "I asked, picking up a" | | 8 | "It didn't explain why they" | | 9 | "I shifted my weight and" | | 10 | "I hadn’t noticed the faint" | | 11 | "It was a fine, shimmering" | | 12 | "I scooped a tiny amount" | | 13 | "I had a feeling that" | | 14 | "I pointed with my pen" | | 15 | "I searched for the right" | | 16 | "I walked towards the rusted" | | 17 | "He scoffed, shaking his head." | | 18 | "I pulled the leather watch" | | 19 | "I'd inherited it from my" |
| | ratio | 0.355 | |
| 99.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 93 | | matches | | 0 | "The chipped Formica tabletop felt" | | 1 | "Coffee, lukewarm and bitter, sloshed" | | 2 | "Rain lashed against the corrugated" | | 3 | "It was the scene." | | 4 | "Something wasn’t right." | | 5 | "Davies said, snapping a photograph" | | 6 | "His flash illuminated dust motes" | | 7 | "I didn’t reply, just continued" | | 8 | "Silas Blackwood, proprietor of several…" | | 9 | "A collector of the peculiar," | | 10 | "I asked, finally" | | 11 | "My voice sounded rough, unused." | | 12 | "Davies lowered his voice, glancing" | | 13 | "The depot wasn’t a random" | | 14 | "It was just off the" | | 15 | "The rain intensified, rattling the" | | 16 | "Davies was already compiling a" | | 17 | "A jealous husband, a heated" | | 18 | "I knelt beside the shattered" | | 19 | "The face was chipped, as" |
| | ratio | 0.72 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 93 | | matches | | 0 | "Now, he was a collection" | | 1 | "While he fumbled for the" |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "Silas had some rather peculiar curios lying around– a shadow box full of dried insects, a silver locket containing a strand of black hair, a tarnished compass e…" | | 1 | "I turned, my eyes scanning the grimy walls of the depot, searching for an answer." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 5 | | matches | | 0 | "I asked, finally" | | 1 | "I pulled, the strap worn smooth with age" | | 2 | "I said, my voice barely a whisper" | | 3 | "I said, my voice hardening" | | 4 | "I said, my voice grim" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.243 | | leniency | 0.486 | | rawRatio | 0 | | effectiveRatio | 0 | |