| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 846 | | totalAiIsmAdverbs | 3 | | 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) | |
| 29.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 846 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down my spine" | | count | 1 |
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| | highlights | | 0 | "calculating" | | 1 | "footsteps" | | 2 | "echoing" | | 3 | "navigated" | | 4 | "pounding" | | 5 | "weight" | | 6 | "racing" | | 7 | "anticipation" | | 8 | "chill" | | 9 | "down my spine" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 66 | | matches | (empty) | |
| 34.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 66 | | filterMatches | | 0 | "think" | | 1 | "watch" | | 2 | "wonder" |
| | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 834 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 3 | | wordCount | 780 | | uniqueNames | 3 | | maxNameDensity | 0.13 | | worstName | "Tube" | | maxWindowNameDensity | 0 | | worstWindowName | (null) | | discoveredNames | | | persons | (empty) | | places | | | globalScore | 1 | | windowScore | 1 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 2 | | matches | | 0 | "something like wonder, and I saw my chance" | | 1 | "rasp that seemed to come from everywhere and nowhere at once" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 834 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 26.06 | | std | 13.14 | | cv | 0.504 | | sampleLengths | | 0 | 51 | | 1 | 26 | | 2 | 15 | | 3 | 20 | | 4 | 48 | | 5 | 1 | | 6 | 23 | | 7 | 15 | | 8 | 29 | | 9 | 1 | | 10 | 47 | | 11 | 40 | | 12 | 26 | | 13 | 11 | | 14 | 32 | | 15 | 30 | | 16 | 16 | | 17 | 29 | | 18 | 9 | | 19 | 49 | | 20 | 36 | | 21 | 40 | | 22 | 31 | | 23 | 23 | | 24 | 30 | | 25 | 24 | | 26 | 25 | | 27 | 29 | | 28 | 38 | | 29 | 15 | | 30 | 17 | | 31 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 97.44% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 130 | | matches | | 0 | "were calculating" | | 1 | "was getting" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 73 | | ratio | 0.096 | | matches | | 0 | "The suspect—a wiry man in a dark hoodie—darted between market stalls, sending crates of produce tumbling in his wake." | | 1 | "The city belonged to us now—me and my prey." | | 2 | "But his eyes—they weren't scared." | | 3 | "On the other side, I found myself in a narrow service corridor, the air thick with the smell of damp concrete and something else—ozone and incense and old blood." | | 4 | "But underneath the fear, something else—determination." | | 5 | "It was like something out of a dream, or a nightmare—a hidden world beneath the city, teeming with life and magic and danger." | | 6 | "I had no idea what I was getting myself into, but I knew one thing for certain—I couldn't back down now." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 792 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.030303030303030304 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005050505050505051 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 11.42 | | std | 7.24 | | cv | 0.634 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 13 | | 3 | 11 | | 4 | 10 | | 5 | 5 | | 6 | 4 | | 7 | 2 | | 8 | 9 | | 9 | 12 | | 10 | 1 | | 11 | 3 | | 12 | 4 | | 13 | 18 | | 14 | 11 | | 15 | 19 | | 16 | 1 | | 17 | 15 | | 18 | 8 | | 19 | 7 | | 20 | 5 | | 21 | 3 | | 22 | 20 | | 23 | 9 | | 24 | 1 | | 25 | 18 | | 26 | 29 | | 27 | 21 | | 28 | 19 | | 29 | 12 | | 30 | 14 | | 31 | 8 | | 32 | 3 | | 33 | 24 | | 34 | 1 | | 35 | 1 | | 36 | 6 | | 37 | 9 | | 38 | 12 | | 39 | 6 | | 40 | 3 | | 41 | 13 | | 42 | 3 | | 43 | 19 | | 44 | 10 | | 45 | 9 | | 46 | 26 | | 47 | 23 | | 48 | 22 | | 49 | 14 |
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| 65.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4520547945205479 | | totalSentences | 73 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 59 | | matches | | 0 | "Instead, he dropped to his" | | 1 | "Then, slowly, he raised his" |
| | ratio | 0.034 | |
| 9.83% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 59 | | matches | | 0 | "I kept my distance, letting" | | 1 | "I checked my watch." | | 2 | "He cut left into an" | | 3 | "I approached slowly, the click" | | 4 | "He froze, then slowly raised" | | 5 | "They were calculating." | | 6 | "He bolted forward, diving headfirst" | | 7 | "I holstered my weapon and" | | 8 | "I matched his pace, my" | | 9 | "We emerged into a larger" | | 10 | "I shouted, closing the distance" | | 11 | "He turned to face me," | | 12 | "He bolted again, and this" | | 13 | "I lunged, catching his arm" | | 14 | "He struggled, but I had" | | 15 | "I had him." | | 16 | "I demanded, my voice echoing" | | 17 | "He said nothing, just glared" | | 18 | "I turned, and my breath" | | 19 | "It was like something out" |
| | ratio | 0.525 | |
| 70.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 59 | | matches | | 0 | "Rain-slicked cobblestones reflected the neon" | | 1 | "The suspect—a wiry man in" | | 2 | "I kept my distance, letting" | | 3 | "The one they'd sealed off" | | 4 | "I checked my watch." | | 5 | "The city belonged to us" | | 6 | "The suspect glanced back, paranoia" | | 7 | "He cut left into an" | | 8 | "The alley dead-ended at a" | | 9 | "I approached slowly, the click" | | 10 | "He froze, then slowly raised" | | 11 | "They were calculating." | | 12 | "The fence gave way with" | | 13 | "He bolted forward, diving headfirst" | | 14 | "I holstered my weapon and" | | 15 | "The suspect was already moving," | | 16 | "I matched his pace, my" | | 17 | "We emerged into a larger" | | 18 | "The suspect paused, looking around" | | 19 | "I shouted, closing the distance" |
| | ratio | 0.78 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "The suspect was already moving, his footsteps echoing ahead of me as he navigated the maze of pipes and electrical conduits." | | 1 | "I'd chased him into the heart of something I didn't understand, something that was far bigger than either of us." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "I demanded, my voice echoing in the cavernous space" | | 1 | "I said, my voice steady despite the fear coiling in my gut" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "I shouted (shout)" | | 1 | "I demanded (demand)" |
| | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.333 | | effectiveRatio | 0.308 | |