| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.242 | | leniency | 0.485 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1110 | | 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) | |
| 32.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1110 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "scanned" | | 1 | "oppressive" | | 2 | "silence" | | 3 | "silk" | | 4 | "weight" | | 5 | "methodical" | | 6 | "gloom" | | 7 | "familiar" | | 8 | "shimmered" | | 9 | "etched" | | 10 | "pulse" | | 11 | "rhythmic" | | 12 | "warmth" | | 13 | "could feel" | | 14 | "synchronized" |
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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 | 79 | | matches | (empty) | |
| 52.44% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1110 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 51.60% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 813 | | uniqueNames | 9 | | maxNameDensity | 1.97 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 16 | | Camden | 1 | | Italian | 1 | | Miller | 9 | | Morris | 2 | | North | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" |
| | places | | | globalScore | 0.516 | | windowScore | 0.667 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "sigils that seemed to pulse with a faint, rhythmic light" | | 1 | "sounded like two stones grinding together" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.901 | | wordCount | 1110 | | matches | | 0 | "Not the warmth of sunlight, but the thrumming heat of a living thing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 21.35 | | std | 16.87 | | cv | 0.79 | | sampleLengths | | 0 | 18 | | 1 | 37 | | 2 | 43 | | 3 | 33 | | 4 | 39 | | 5 | 9 | | 6 | 30 | | 7 | 6 | | 8 | 19 | | 9 | 46 | | 10 | 4 | | 11 | 4 | | 12 | 47 | | 13 | 17 | | 14 | 33 | | 15 | 19 | | 16 | 23 | | 17 | 9 | | 18 | 15 | | 19 | 38 | | 20 | 3 | | 21 | 5 | | 22 | 7 | | 23 | 3 | | 24 | 2 | | 25 | 64 | | 26 | 10 | | 27 | 15 | | 28 | 57 | | 29 | 17 | | 30 | 6 | | 31 | 7 | | 32 | 27 | | 33 | 9 | | 34 | 2 | | 35 | 49 | | 36 | 9 | | 37 | 11 | | 38 | 48 | | 39 | 15 | | 40 | 9 | | 41 | 3 | | 42 | 6 | | 43 | 58 | | 44 | 5 | | 45 | 15 | | 46 | 42 | | 47 | 27 | | 48 | 19 | | 49 | 26 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 79 | | matches | | |
| 51.85% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 135 | | matches | | 0 | "wasn't pointing" | | 1 | "was spinning" | | 2 | "was pointing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 104 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 814 | | adjectiveStacks | 1 | | stackExamples | | 0 | "straight ahead, dead center." |
| | adverbCount | 19 | | adverbRatio | 0.02334152334152334 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009828009828009828 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 10.67 | | std | 6.96 | | cv | 0.652 | | sampleLengths | | 0 | 18 | | 1 | 23 | | 2 | 7 | | 3 | 7 | | 4 | 21 | | 5 | 22 | | 6 | 14 | | 7 | 19 | | 8 | 2 | | 9 | 15 | | 10 | 22 | | 11 | 9 | | 12 | 6 | | 13 | 24 | | 14 | 6 | | 15 | 19 | | 16 | 8 | | 17 | 5 | | 18 | 16 | | 19 | 7 | | 20 | 3 | | 21 | 7 | | 22 | 4 | | 23 | 4 | | 24 | 17 | | 25 | 30 | | 26 | 7 | | 27 | 10 | | 28 | 33 | | 29 | 3 | | 30 | 9 | | 31 | 2 | | 32 | 2 | | 33 | 3 | | 34 | 23 | | 35 | 9 | | 36 | 9 | | 37 | 6 | | 38 | 7 | | 39 | 14 | | 40 | 5 | | 41 | 12 | | 42 | 3 | | 43 | 5 | | 44 | 7 | | 45 | 3 | | 46 | 2 | | 47 | 3 | | 48 | 12 | | 49 | 18 |
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| 50.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.36538461538461536 | | totalSentences | 104 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 81.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 72 | | matches | | 0 | "She didn't look at the" | | 1 | "Her gaze remained fixed on" | | 2 | "He wore a bespoke Italian" | | 3 | "She didn't touch the body," | | 4 | "She pointed to the man's" | | 5 | "She looked at the ground." | | 6 | "She began to pace, her" | | 7 | "She stopped at a jagged" | | 8 | "She reached into the crevice" | | 9 | "She felt a familiar, cold" | | 10 | "She had seen the things" | | 11 | "She turned back to the" | | 12 | "She used a pair of" | | 13 | "It was spinning frantically, a" | | 14 | "She pressed her hand against" | | 15 | "They felt warm." | | 16 | "She leaned closer to the" | | 17 | "It was a rift, a" | | 18 | "She reached out to touch" | | 19 | "She could feel a pull," |
| | ratio | 0.347 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 72 | | matches | | 0 | "Detective Harlow Quinn stepped over" | | 1 | "She didn't look at the" | | 2 | "Her gaze remained fixed on" | | 3 | "The victim lay sprawled across" | | 4 | "He wore a bespoke Italian" | | 5 | "Miller said, stepping back with" | | 6 | "She didn't touch the body," | | 7 | "A worn leather watch ticked" | | 8 | "She pointed to the man's" | | 9 | "A series of perfectly circular" | | 10 | "Quinn shifted her weight, her" | | 11 | "She looked at the ground." | | 12 | "The dust here was thick," | | 13 | "Quinn stood up, her height" | | 14 | "Miller scoffed, leaning against a" | | 15 | "A flake of yellow paint" | | 16 | "Quinn looked up." | | 17 | "The ceiling was a solid" | | 18 | "She began to pace, her" | | 19 | "She stopped at a jagged" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 4 | | matches | | 0 | "A series of perfectly circular brands marred the flesh, forming a pattern that looked less like a chemical burn and more like a stamp." | | 1 | "The face was etched with protective sigils that seemed to pulse with a faint, rhythmic light." | | 2 | "As she approached, the needle of the compass began to vibrate, humming a low, dissonant frequency that rattled her teeth." | | 3 | "She could feel a pull, a psychic vacuum that tugged at the edges of her consciousness, promising answers about Morris, about the gaps in the world that the Metr…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn stood up, her height giving her a commanding view of the platform" | | 1 | "Quinn commanded, her voice leaving no room for argument" | | 2 | "Miller demanded, his hand flying to his holster" |
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| 28.79% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn interrupted (interrupt)" | | 1 | "Miller noted (note)" | | 2 | "Quinn whispered (whisper)" | | 3 | "Miller demanded (demand)" |
| | dialogueSentences | 33 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.667 | | effectiveRatio | 0.242 | |