| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 4 | | adverbTags | | 0 | "she finally said [finally]" | | 1 | "Evans said unexpectedly [unexpectedly]" | | 2 | "she said quietly [quietly]" | | 3 | "Quinn said suddenly [suddenly]" |
| | dialogueSentences | 40 | | tagDensity | 0.425 | | leniency | 0.85 | | rawRatio | 0.235 | | effectiveRatio | 0.2 | |
| 92.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1270 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 29.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1270 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "echoed" | | 1 | "footsteps" | | 2 | "scanning" | | 3 | "intensity" | | 4 | "profound" | | 5 | "weight" | | 6 | "silk" | | 7 | "intricate" | | 8 | "otherworldly" | | 9 | "methodical" | | 10 | "perfect" | | 11 | "traced" | | 12 | "silence" | | 13 | "chill" | | 14 | "raced" | | 15 | "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 | 72 | | matches | (empty) | |
| 63.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1278 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 38.39% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 896 | | uniqueNames | 9 | | maxNameDensity | 2.23 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 2 | | Harlow | 1 | | Quinn | 20 | | Tube | 1 | | Evans | 9 | | Kowalski | 1 | | Museum | 1 | | Archives | 1 | | Camden | 1 |
| | persons | | 0 | "Detective" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Evans" | | 4 | "Kowalski" |
| | places | (empty) | | globalScore | 0.384 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "as if reading her thoughts" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.782 | | wordCount | 1278 | | matches | | 0 | "not pointing north, but at the wall of the tunnel" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 31.95 | | std | 17.44 | | cv | 0.546 | | sampleLengths | | 0 | 84 | | 1 | 3 | | 2 | 71 | | 3 | 38 | | 4 | 12 | | 5 | 44 | | 6 | 30 | | 7 | 54 | | 8 | 22 | | 9 | 38 | | 10 | 23 | | 11 | 5 | | 12 | 43 | | 13 | 20 | | 14 | 39 | | 15 | 50 | | 16 | 60 | | 17 | 7 | | 18 | 19 | | 19 | 33 | | 20 | 18 | | 21 | 25 | | 22 | 40 | | 23 | 31 | | 24 | 38 | | 25 | 30 | | 26 | 35 | | 27 | 5 | | 28 | 23 | | 29 | 18 | | 30 | 26 | | 31 | 29 | | 32 | 49 | | 33 | 18 | | 34 | 12 | | 35 | 25 | | 36 | 47 | | 37 | 45 | | 38 | 42 | | 39 | 27 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 72 | | matches | | 0 | "been replaced" | | 1 | "been torn" | | 2 | "were fixed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 95 | | ratio | 0.053 | | matches | | 0 | "And then there was the symbol carved into his chest - intricate, otherworldly." | | 1 | "Halfway around, she spotted it - a brass compass lying in the dust, its needle spinning wildly before coming to rest, not pointing north, but at the wall of the tunnel." | | 2 | "And as she touched the spot, the compass in her other hand twitched - just once - then settled again, the needle maintaining its steady point towards the wall." | | 3 | "The compass was no longer evidence of a message or a method - it was a key." | | 4 | "Her watch caught the light again, and for a brief moment, she thought she saw something glinting from behind the indentation - something metallic, something left behind in the haste of the crime." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 895 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 33 | | adverbRatio | 0.03687150837988827 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013407821229050279 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 13.45 | | std | 7.52 | | cv | 0.559 | | sampleLengths | | 0 | 21 | | 1 | 22 | | 2 | 20 | | 3 | 21 | | 4 | 3 | | 5 | 21 | | 6 | 19 | | 7 | 24 | | 8 | 7 | | 9 | 12 | | 10 | 26 | | 11 | 10 | | 12 | 2 | | 13 | 15 | | 14 | 15 | | 15 | 14 | | 16 | 15 | | 17 | 15 | | 18 | 7 | | 19 | 14 | | 20 | 11 | | 21 | 9 | | 22 | 13 | | 23 | 9 | | 24 | 13 | | 25 | 6 | | 26 | 7 | | 27 | 6 | | 28 | 8 | | 29 | 11 | | 30 | 12 | | 31 | 11 | | 32 | 5 | | 33 | 8 | | 34 | 35 | | 35 | 4 | | 36 | 16 | | 37 | 14 | | 38 | 25 | | 39 | 24 | | 40 | 26 | | 41 | 12 | | 42 | 17 | | 43 | 31 | | 44 | 7 | | 45 | 9 | | 46 | 10 | | 47 | 9 | | 48 | 24 | | 49 | 4 |
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| 82.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5052631578947369 | | totalSentences | 95 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 64 | | matches | | 0 | "Her flashlight cut a sharp" | | 1 | "She'd been on the force" | | 2 | "His usual affable expression had" | | 3 | "he said, shaking his head" | | 4 | "His suit jacket had been" | | 5 | "It was too perfect, too" | | 6 | "Her fingers traced the edge," | | 7 | "She pulled a handkerchief from" | | 8 | "she finally said, standing and" | | 9 | "Her boots crunched on debris" | | 10 | "She found herself pulling the" | | 11 | "Her eyes were fixed on" | | 12 | "she said quietly, as much" | | 13 | "she asked, shining her light" | | 14 | "Her watch caught the light" | | 15 | "She knelt once more, this" | | 16 | "Her fingers found a gap" | | 17 | "she said, holding up the" |
| | ratio | 0.281 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 64 | | matches | | 0 | "The metal grating felt ice-cold" | | 1 | "Her flashlight cut a sharp" | | 2 | "The worn leather watch on" | | 3 | "The voice echoed from deeper" | | 4 | "Shadow trimmed her sharp jawline" | | 5 | "She'd been on the force" | | 6 | "The unusual location was just" | | 7 | "Detective Evans stood by the" | | 8 | "His usual affable expression had" | | 9 | "he said, shaking his head" | | 10 | "The victim lay sprawled across" | | 11 | "Blood seeped into the surrounding" | | 12 | "Quinn knelt beside the man," | | 13 | "Evans said, wiping his brow" | | 14 | "Quinn ignored him, carefully examining" | | 15 | "The man wore expensive clothes" | | 16 | "His suit jacket had been" | | 17 | "Quinn's eyes continued their methodical" | | 18 | "The spiral pattern of blood" | | 19 | "It was too perfect, too" |
| | ratio | 0.875 | |
| 78.13% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 64 | | matches | | | ratio | 0.016 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "Her flashlight cut a sharp path through the dust and decay, illuminating cobwebs that hung like funeral shrouds across the crumbling tiles." | | 1 | "Quinn knelt beside the man, her knees protesting briefly after standing for too long." | | 2 | "The man wore expensive clothes that seemed out of place in this abandoned station." | | 3 | "Halfway around, she spotted it - a brass compass lying in the dust, its needle spinning wildly before coming to rest, not pointing north, but at the wall of the…" |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn conceded, though her voice suggested she didn't believe it for a moment" | | 1 | "Evans said unexpectedly, as if reading her thoughts" |
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| 75.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 3 | | fancyTags | | 0 | "Evans continued (continue)" | | 1 | "Quinn conceded (concede)" | | 2 | "Evans protested (protest)" |
| | dialogueSentences | 40 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.2 | | effectiveRatio | 0.15 | |