| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva gestured around [around]" |
| | dialogueSentences | 52 | | tagDensity | 0.327 | | leniency | 0.654 | | rawRatio | 0.059 | | effectiveRatio | 0.038 | |
| 70.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1170 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | adverb | "reluctantly" | | count | 1 |
| | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "slightly" | | 1 | "reluctantly" | | 2 | "nervously" | | 3 | "barely above a whisper" |
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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) | |
| 61.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1170 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoing" | | 2 | "gloom" | | 3 | "etched" | | 4 | "scanned" | | 5 | "magnetic" | | 6 | "shimmered" | | 7 | "reminder" | | 8 | "whisper" |
| |
| 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 | 64 | | matches | (empty) | |
| 75.89% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1163 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 9.68% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 677 | | uniqueNames | 5 | | maxNameDensity | 2.81 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 19 | | Quinn | 1 | | Tube | 2 | | Mills | 11 | | Eva | 8 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Mills" | | 3 | "Eva" |
| | places | | | globalScore | 0.097 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 3 | | matches | | 0 | "as if searching for something" | | 1 | "seemed ancient" | | 2 | "looked like they'd been scratched there r" | | 3 | "s torch on the seemingly solid brickwork" |
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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 | 1163 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 22.8 | | std | 12.44 | | cv | 0.546 | | sampleLengths | | 0 | 52 | | 1 | 21 | | 2 | 40 | | 3 | 34 | | 4 | 24 | | 5 | 2 | | 6 | 12 | | 7 | 43 | | 8 | 18 | | 9 | 10 | | 10 | 31 | | 11 | 41 | | 12 | 8 | | 13 | 20 | | 14 | 14 | | 15 | 9 | | 16 | 23 | | 17 | 17 | | 18 | 22 | | 19 | 23 | | 20 | 9 | | 21 | 43 | | 22 | 39 | | 23 | 11 | | 24 | 3 | | 25 | 25 | | 26 | 19 | | 27 | 29 | | 28 | 55 | | 29 | 34 | | 30 | 10 | | 31 | 26 | | 32 | 16 | | 33 | 26 | | 34 | 20 | | 35 | 25 | | 36 | 13 | | 37 | 7 | | 38 | 30 | | 39 | 5 | | 40 | 30 | | 41 | 17 | | 42 | 18 | | 43 | 3 | | 44 | 34 | | 45 | 31 | | 46 | 15 | | 47 | 17 | | 48 | 33 | | 49 | 24 |
| |
| 99.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 64 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 128 | | matches | | |
| 27.42% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 99 | | ratio | 0.04 | | matches | | 0 | "The air hung thick with damp and something else—something metallic and wrong." | | 1 | "She moved toward the ticket barriers, her attention drawn to faint markings on the wall—symbols that looked like they'd been scratched there recently, yet somehow seemed ancient." | | 2 | "Beings of various descriptions—some almost human, others distinctly not—went about their business, occasionally glancing toward the newcomers with wary eyes." | | 3 | "Something was coming—something that had followed them or perhaps had been waiting all along." |
| |
| 90.08% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 684 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.04532163742690058 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.02631578947368421 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 11.75 | | std | 6.65 | | cv | 0.566 | | sampleLengths | | 0 | 20 | | 1 | 12 | | 2 | 20 | | 3 | 17 | | 4 | 4 | | 5 | 10 | | 6 | 13 | | 7 | 17 | | 8 | 8 | | 9 | 26 | | 10 | 9 | | 11 | 7 | | 12 | 8 | | 13 | 2 | | 14 | 3 | | 15 | 9 | | 16 | 11 | | 17 | 16 | | 18 | 16 | | 19 | 18 | | 20 | 8 | | 21 | 2 | | 22 | 11 | | 23 | 20 | | 24 | 27 | | 25 | 14 | | 26 | 8 | | 27 | 5 | | 28 | 15 | | 29 | 3 | | 30 | 11 | | 31 | 9 | | 32 | 16 | | 33 | 7 | | 34 | 10 | | 35 | 7 | | 36 | 8 | | 37 | 9 | | 38 | 5 | | 39 | 7 | | 40 | 16 | | 41 | 6 | | 42 | 3 | | 43 | 36 | | 44 | 7 | | 45 | 23 | | 46 | 16 | | 47 | 11 | | 48 | 3 | | 49 | 15 |
| |
| 81.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5050505050505051 | | totalSentences | 99 | | uniqueOpeners | 50 | |
| 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 adjusted her leather watch" | | 1 | "She stopped at the victim's" | | 2 | "She moved toward the ticket" | | 3 | "She ran her fingers over" | | 4 | "She found a loose brick" | | 5 | "She pulled a small bone" | | 6 | "She nervously tucked a strand" | | 7 | "she said, her voice barely" | | 8 | "She held up the compass" |
| | ratio | 0.155 | |
| 3.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 58 | | matches | | 0 | "Detective Harlow Quinn descended the" | | 1 | "The air hung thick with" | | 2 | "She adjusted her leather watch" | | 3 | "Sergeant Mills waved from the" | | 4 | "Harlow crossed the tracks, her" | | 5 | "The scene unfolded under harsh" | | 6 | "A body lay contorted near" | | 7 | "Mills crouched beside the victim," | | 8 | "Harlow circled the perimeter, her" | | 9 | "She stopped at the victim's" | | 10 | "Something small and brass glinted" | | 11 | "Mills leaned closer." | | 12 | "Harlow knelt, her fingers hovering" | | 13 | "A small brass compass with" | | 14 | "The needle spun erratically, pointing" | | 15 | "Harlow stood, her sharp jaw" | | 16 | "She moved toward the ticket" | | 17 | "She ran her fingers over" | | 18 | "Mills laughed, short and sharp." | | 19 | "Harlow's gaze hardened." |
| | ratio | 0.914 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 4 | | matches | | 0 | "Harlow knelt, her fingers hovering above the object without touching it." | | 1 | "The needle spun erratically, pointing first north, then east, then south, as if searching for something." | | 2 | "She ran her fingers over them, finding a residue that smelled faintly of ozone." | | 3 | "Something was coming—something that had followed them or perhaps had been waiting all along." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 5 | | matches | | 0 | "Sergeant Mills waved, his torch beam cutting through the gloom" | | 1 | "Harlow pulled out, its needle steady" | | 2 | "Harlow's voice remained, but her fingers tightened around her compass" | | 3 | "Harlow stepped, the air growing colder with each step" | | 4 | "she said, her voice barely above a whisper" |
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| 53.85% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "Mills suggested (suggest)" | | 1 | "she murmured (murmur)" | | 2 | "Harlow whispered (whisper)" | | 3 | "Mills interjected (interject)" | | 4 | "Mills demanded (demand)" |
| | dialogueSentences | 52 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0.625 | | effectiveRatio | 0.192 | |