| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | 0 | "She blew gently [gently]" |
| | dialogueSentences | 42 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.048 | | effectiveRatio | 0.048 | |
| 85.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1369 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "utterly" | | 1 | "gently" | | 2 | "very" |
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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) | |
| 67.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1369 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "standard" | | 5 | "grave" | | 6 | "glinting" |
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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 | 99 | | matches | (empty) | |
| 85.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1359 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 923 | | uniqueNames | 11 | | maxNameDensity | 1.41 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Veil | 2 | | Compass | 2 | | Harlow | 1 | | Quinn | 13 | | Tube | 1 | | Camden | 1 | | Liam | 1 | | Carter | 11 | | Eva | 4 | | Oxfords | 1 | | Morris | 2 |
| | persons | | 0 | "Compass" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Liam" | | 4 | "Carter" | | 5 | "Eva" | | 6 | "Morris" |
| | places | (empty) | | globalScore | 0.796 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | 0 | "darkness that seemed to swallow sound itself" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.736 | | wordCount | 1359 | | matches | | 0 | "not at the body, but at the walls, the shadows between the old advertising poster" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 120 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 30.2 | | std | 21.23 | | cv | 0.703 | | sampleLengths | | 0 | 39 | | 1 | 21 | | 2 | 57 | | 3 | 80 | | 4 | 40 | | 5 | 42 | | 6 | 13 | | 7 | 67 | | 8 | 58 | | 9 | 28 | | 10 | 10 | | 11 | 49 | | 12 | 28 | | 13 | 7 | | 14 | 39 | | 15 | 3 | | 16 | 8 | | 17 | 32 | | 18 | 13 | | 19 | 1 | | 20 | 54 | | 21 | 14 | | 22 | 33 | | 23 | 3 | | 24 | 55 | | 25 | 20 | | 26 | 19 | | 27 | 28 | | 28 | 20 | | 29 | 5 | | 30 | 73 | | 31 | 16 | | 32 | 24 | | 33 | 12 | | 34 | 75 | | 35 | 28 | | 36 | 14 | | 37 | 46 | | 38 | 61 | | 39 | 19 | | 40 | 4 | | 41 | 29 | | 42 | 7 | | 43 | 26 | | 44 | 39 |
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| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 99 | | matches | | 0 | "were lost" | | 1 | "was lit" | | 2 | "was clutched" |
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| 63.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 147 | | matches | | 0 | "wasn’t rattling" | | 1 | "was pulling" | | 2 | "was thumbing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 120 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 782 | | adjectiveStacks | 2 | | stackExamples | | 0 | "jumpy, sickly yellow illumination" | | 1 | "heavy, leather-bound tome." |
| | adverbCount | 14 | | adverbRatio | 0.017902813299232736 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005115089514066497 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 11.33 | | std | 8.56 | | cv | 0.756 | | sampleLengths | | 0 | 24 | | 1 | 15 | | 2 | 17 | | 3 | 4 | | 4 | 21 | | 5 | 12 | | 6 | 24 | | 7 | 11 | | 8 | 15 | | 9 | 17 | | 10 | 16 | | 11 | 21 | | 12 | 12 | | 13 | 6 | | 14 | 3 | | 15 | 19 | | 16 | 10 | | 17 | 13 | | 18 | 19 | | 19 | 13 | | 20 | 9 | | 21 | 14 | | 22 | 40 | | 23 | 4 | | 24 | 25 | | 25 | 19 | | 26 | 14 | | 27 | 6 | | 28 | 6 | | 29 | 1 | | 30 | 1 | | 31 | 11 | | 32 | 3 | | 33 | 10 | | 34 | 13 | | 35 | 21 | | 36 | 15 | | 37 | 15 | | 38 | 13 | | 39 | 4 | | 40 | 3 | | 41 | 16 | | 42 | 21 | | 43 | 2 | | 44 | 3 | | 45 | 8 | | 46 | 18 | | 47 | 6 | | 48 | 7 | | 49 | 1 |
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| 55.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.4083333333333333 | | totalSentences | 120 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 92.73% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 88 | | matches | | 0 | "It was lit by a" | | 1 | "His face was a mask" | | 2 | "He looked up as their" | | 3 | "She circled the salt ring," | | 4 | "Her brown eyes catalogued everything:" | | 5 | "He pointed to a smudged" | | 6 | "She looked at the victim’s" | | 7 | "she echoed, the word hanging" | | 8 | "She adjusted her round glasses," | | 9 | "Her worn leather satchel, full" | | 10 | "He was a good cop," | | 11 | "He held up an evidence" | | 12 | "She looked at the man’s" | | 13 | "she said, more to herself" | | 14 | "She pointed to the scuff" | | 15 | "She walked to the nearest" | | 16 | "It wasn’t rattling now." | | 17 | "It was pulling, insistently, towards" | | 18 | "She didn’t look at the" | | 19 | "She looked at the tile" |
| | ratio | 0.318 | |
| 33.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 88 | | matches | | 0 | "The Veil Compass needle rattled" | | 1 | "The little bone token, their" | | 2 | "Eva said, her voice tight" | | 3 | "Quinn replied, snapping the compass" | | 4 | "The familiar weight of her" | | 5 | "The abandoned Tube station beneath" | | 6 | "The air tasted of wet" | | 7 | "The old platforms were lost" | | 8 | "It was lit by a" | | 9 | "A body lay in a" | | 10 | "His face was a mask" | | 11 | "He looked up as their" | | 12 | "Quinn said, her voice flat" | | 13 | "She circled the salt ring," | | 14 | "Her brown eyes catalogued everything:" | | 15 | "Carter gestured with his notebook" | | 16 | "He pointed to a smudged" | | 17 | "Quinn didn’t look at the" | | 18 | "She looked at the victim’s" | | 19 | "she echoed, the word hanging" |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "The Veil Compass needle rattled against its glass housing, spinning like a dervish in the brass casing Harlow Quinn held flat in her palm." | | 1 | "No jurisdiction here, just instinct and the worn leather watch on her wrist, ticking off seconds in a place that felt outside of time." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 9 | | matches | | 0 | "Quinn said, her voice flat" | | 1 | "she echoed, the word hanging in the damp air" | | 2 | "Carter asked, a note of professional scepticism in his tone" | | 3 | "she said, more to herself than to Carter" | | 4 | "Quinn stood, her gaze sweeping the concourse again" | | 5 | "She walked, not touching it" | | 6 | "Eva said, her voice clearer now, edged with academic dread" | | 7 | "She looked up, her green eyes wide behind her glasses" | | 8 | "Quinn said, her voice cutting through the growing hum" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 42 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.111 | | effectiveRatio | 0.048 | |