| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 65.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1007 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "very" | | 1 | "carefully" | | 2 | "tightly" | | 3 | "cautiously" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1007 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "otherworldly" | | 1 | "palpable" | | 2 | "furrowed" | | 3 | "tinged" | | 4 | "chill" | | 5 | "down her spine" | | 6 | "racing" | | 7 | "grave" | | 8 | "etched" | | 9 | "glint" | | 10 | "sense of" | | 11 | "scanning" | | 12 | "cataloged" | | 13 | "charged" | | 14 | "tracing" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "sense of foreboding" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "a sense of unease" |
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| 97.22% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 60 | | matches | | 0 | "a sense of unease" | | 1 | "t with determination" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 76 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1013 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 15.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 782 | | uniqueNames | 7 | | maxNameDensity | 2.69 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 21 | | Quinn | 1 | | Tube | 1 | | Kowalski | 1 | | Eva | 14 | | Veil | 2 | | Compass | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Compass" |
| | places | (empty) | | globalScore | 0.157 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "blood that seemed to crawl across the tiles, while Eva carefully cataloged the placement of the body and the orientation of the tracks" |
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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 | 1013 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 76 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 26.66 | | std | 14.74 | | cv | 0.553 | | sampleLengths | | 0 | 51 | | 1 | 53 | | 2 | 14 | | 3 | 24 | | 4 | 58 | | 5 | 6 | | 6 | 12 | | 7 | 29 | | 8 | 4 | | 9 | 44 | | 10 | 17 | | 11 | 30 | | 12 | 8 | | 13 | 23 | | 14 | 8 | | 15 | 11 | | 16 | 40 | | 17 | 39 | | 18 | 13 | | 19 | 33 | | 20 | 14 | | 21 | 27 | | 22 | 20 | | 23 | 45 | | 24 | 48 | | 25 | 16 | | 26 | 16 | | 27 | 43 | | 28 | 41 | | 29 | 21 | | 30 | 19 | | 31 | 43 | | 32 | 21 | | 33 | 15 | | 34 | 44 | | 35 | 12 | | 36 | 24 | | 37 | 27 |
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| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 60 | | matches | | 0 | "were tinged" | | 1 | "was drawn" |
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| 40.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 125 | | matches | | 0 | "was indeed tracking" | | 1 | "were watching" | | 2 | "were being" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 76 | | ratio | 0.066 | | matches | | 0 | "As she drew closer, she caught a glimpse of the victim's face — a young woman, her features frozen in a rictus of terror." | | 1 | "Something was off — the scene didn't add up." | | 2 | "In the alcove, a strange device lay on the ground — a small brass compass, its face etched with ornate sigils." | | 3 | "As she neared the corpse, something caught her eye — a glint of metal half-buried beneath the tangled tracks." | | 4 | "But this one was different — the casing was tarnished, and the sigils etched into the face were partially obscured by a thick layer of grime." |
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| 97.39% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 778 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03470437017994859 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.02313624678663239 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 76 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 76 | | mean | 13.33 | | std | 6.61 | | cv | 0.496 | | sampleLengths | | 0 | 16 | | 1 | 20 | | 2 | 15 | | 3 | 18 | | 4 | 11 | | 5 | 24 | | 6 | 14 | | 7 | 11 | | 8 | 13 | | 9 | 10 | | 10 | 9 | | 11 | 18 | | 12 | 21 | | 13 | 6 | | 14 | 12 | | 15 | 14 | | 16 | 15 | | 17 | 4 | | 18 | 27 | | 19 | 17 | | 20 | 10 | | 21 | 7 | | 22 | 21 | | 23 | 9 | | 24 | 8 | | 25 | 8 | | 26 | 15 | | 27 | 3 | | 28 | 5 | | 29 | 4 | | 30 | 7 | | 31 | 9 | | 32 | 20 | | 33 | 11 | | 34 | 19 | | 35 | 13 | | 36 | 7 | | 37 | 13 | | 38 | 10 | | 39 | 23 | | 40 | 8 | | 41 | 6 | | 42 | 13 | | 43 | 14 | | 44 | 14 | | 45 | 6 | | 46 | 15 | | 47 | 30 | | 48 | 12 | | 49 | 15 |
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| 67.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.40789473684210525 | | totalSentences | 76 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 58 | | matches | | 0 | "She crouched beside the body," | | 1 | "She turned back to the" | | 2 | "She held it up, her" | | 3 | "she asked, handing the key" | | 4 | "She rose to her feet," | | 5 | "They pressed on, their senses" | | 6 | "she murmured, more to herself" | | 7 | "She rose to her feet," | | 8 | "She turned, her gaze sweeping" |
| | ratio | 0.155 | |
| 46.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 58 | | matches | | 0 | "Detective Harlow Quinn swept into" | | 1 | "Shafts of eerie green light" | | 2 | "The air had a palpable" | | 3 | "A body lay prone on" | | 4 | "Harlow strode forward, her worn" | | 5 | "Harlow asked, glancing up at" | | 6 | "the officer replied, his brow" | | 7 | "Harlow nodded, her keen gaze" | | 8 | "Something was off — the" | | 9 | "She crouched beside the body," | | 10 | "The blood had a strange," | | 11 | "Harlow's eyes narrowed as she" | | 12 | "A chill ran down her" | | 13 | "Eva Kowalski, Harlow's sometime consultant" | | 14 | "Eva said, beckoning Harlow toward" | | 15 | "Harlow followed, her senses on" | | 16 | "The needle spun wildly, its" | | 17 | "Harlow asked, her eyes narrowing" | | 18 | "Eva replied, her voice hushed" | | 19 | "Harlow's jaw tightened." |
| | ratio | 0.828 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 58 | | matches | | 0 | "As if summoned by the" | | 1 | "If this device was indeed" | | 2 | "If this was true, then" |
| | ratio | 0.052 | |
| 65.64% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 4 | | matches | | 0 | "The air had a palpable charge, as if the very atmosphere hummed with unseen energy." | | 1 | "As if summoned by the question, a petite woman with curly red hair emerged from the shadows, her round glasses perched on the end of her nose." | | 2 | "Harlow noted the strange, iridescent splatters of blood that seemed to crawl across the tiles, while Eva carefully cataloged the placement of the body and the o…" | | 3 | "They pressed on, their senses heightened, searching for any additional evidence that might shed light on the nature of this strange crime." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 5 | | matches | | 0 | "the officer replied, his brow furrowed" | | 1 | "Harlow asked, her eyes narrowing" | | 2 | "Eva replied, her voice hushed" | | 3 | "Eva murmured, her green eyes wide behind the lenses of her glasses" | | 4 | "she murmured, more to herself than to Eva" |
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| 34.62% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "she demanded (demand)" | | 1 | "Eva murmured (murmur)" | | 2 | "she murmured (murmur)" |
| | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.3 | | effectiveRatio | 0.231 | |