| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 66 | | adverbTagCount | 4 | | adverbTags | | 0 | "She leaned back [back]" | | 1 | "the bone glowed faintly [faintly]" | | 2 | "Quinn said sharply. [sharply]" | | 3 | "Patel’s lips parted then [then]" |
| | dialogueSentences | 91 | | tagDensity | 0.725 | | leniency | 1 | | rawRatio | 0.061 | | effectiveRatio | 0.061 | |
| 90.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1556 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "slowly" | | 2 | "quickly" |
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| 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) | |
| 19.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1556 | | totalAiIsms | 25 | | found | | | highlights | | 0 | "scanning" | | 1 | "echoed" | | 2 | "fluttered" | | 3 | "traced" | | 4 | "etched" | | 5 | "scanned" | | 6 | "flickered" | | 7 | "glinting" | | 8 | "flicked" | | 9 | "footsteps" | | 10 | "trembled" | | 11 | "pulse" | | 12 | "whisper" | | 13 | "shimmered" | | 14 | "fractured" | | 15 | "echoes" | | 16 | "thundered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 130 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 130 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1549 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 93 | | wordCount | 1130 | | uniqueNames | 10 | | maxNameDensity | 3.36 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Sergeant | 1 | | Carter | 29 | | Quinn | 38 | | Patel | 17 | | Veil | 1 | | Compass | 1 | | Latin | 2 | | Fusing | 1 | | Footsteps | 2 | | Six | 1 |
| | persons | | 0 | "Sergeant" | | 1 | "Carter" | | 2 | "Quinn" | | 3 | "Patel" | | 4 | "Compass" | | 5 | "Footsteps" | | 6 | "Six" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 1 | | matches | | 0 | "as if inviting a handshake it could not offer" |
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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 | 1549 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 16.66 | | std | 9.29 | | cv | 0.558 | | sampleLengths | | 0 | 18 | | 1 | 32 | | 2 | 24 | | 3 | 13 | | 4 | 5 | | 5 | 5 | | 6 | 39 | | 7 | 4 | | 8 | 21 | | 9 | 9 | | 10 | 12 | | 11 | 39 | | 12 | 6 | | 13 | 20 | | 14 | 15 | | 15 | 19 | | 16 | 19 | | 17 | 5 | | 18 | 20 | | 19 | 5 | | 20 | 32 | | 21 | 8 | | 22 | 37 | | 23 | 6 | | 24 | 17 | | 25 | 6 | | 26 | 22 | | 27 | 12 | | 28 | 8 | | 29 | 7 | | 30 | 20 | | 31 | 6 | | 32 | 30 | | 33 | 6 | | 34 | 30 | | 35 | 13 | | 36 | 25 | | 37 | 8 | | 38 | 20 | | 39 | 7 | | 40 | 26 | | 41 | 12 | | 42 | 19 | | 43 | 8 | | 44 | 23 | | 45 | 14 | | 46 | 12 | | 47 | 46 | | 48 | 4 | | 49 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 239 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 144 | | ratio | 0.007 | | matches | | 0 | "Quinn rose, keeping her gaze on the chamber’s dark corners. She pulled a small brass compass from her coat pocket—the Veil Compass. Green patina caught the torchlight. The needle spun, then locked pointing toward the inner tunnel." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 476 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.014705882352941176 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.004201680672268907 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 10.76 | | std | 8.17 | | cv | 0.759 | | sampleLengths | | 0 | 11 | | 1 | 7 | | 2 | 4 | | 3 | 10 | | 4 | 18 | | 5 | 10 | | 6 | 8 | | 7 | 6 | | 8 | 6 | | 9 | 7 | | 10 | 5 | | 11 | 2 | | 12 | 3 | | 13 | 7 | | 14 | 7 | | 15 | 2 | | 16 | 14 | | 17 | 9 | | 18 | 4 | | 19 | 5 | | 20 | 12 | | 21 | 4 | | 22 | 5 | | 23 | 4 | | 24 | 9 | | 25 | 3 | | 26 | 15 | | 27 | 7 | | 28 | 5 | | 29 | 12 | | 30 | 4 | | 31 | 2 | | 32 | 6 | | 33 | 6 | | 34 | 8 | | 35 | 11 | | 36 | 4 | | 37 | 4 | | 38 | 15 | | 39 | 3 | | 40 | 6 | | 41 | 7 | | 42 | 3 | | 43 | 5 | | 44 | 9 | | 45 | 9 | | 46 | 2 | | 47 | 3 | | 48 | 2 | | 49 | 32 |
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| 73.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4444444444444444 | | totalSentences | 144 | | uniqueOpeners | 64 | |
| 33.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 99 | | matches | | 0 | "Probably paid with this they" |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 99 | | matches | | 0 | "She rose, shoulders rigid." | | 1 | "He aimed his torch at" | | 2 | "She tapped the tile, and" | | 3 | "She dropped to peer down" | | 4 | "She leaned back, scanning the" | | 5 | "He pointed at the victim’s" | | 6 | "She brushed soil from her" | | 7 | "She tapped the sigils etched" | | 8 | "She pressed the screen. Grainy" | | 9 | "She closed the frame" | | 10 | "she ordered Carter" | | 11 | "She fired. A single shot" | | 12 | "She turned, bone shard in" |
| | ratio | 0.131 | |
| 20.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 99 | | matches | | 0 | "Quinn landed on one knee," | | 1 | "A half-burnt sigil glittered on" | | 2 | "She rose, shoulders rigid." | | 3 | "Detective Sergeant Carter knelt beyond" | | 4 | "The body lounged against the" | | 5 | "Carter said, voice low" | | 6 | "He aimed his torch at" | | 7 | "Quinn crouched, studying the wound’s" | | 8 | "A faint green halo varged" | | 9 | "She tapped the tile, and" | | 10 | "Nothing but loose dirt and" | | 11 | "She dropped to peer down" | | 12 | "Carter joined her, breathing heavy." | | 13 | "She leaned back, scanning the" | | 14 | "The chamber lay twenty metres" | | 15 | "Smell of old smoke and" | | 16 | "Flick of dripping water echoed." | | 17 | "The crime scene tape fluttered" | | 18 | "Quinn squared her shoulders." | | 19 | "DS Patel entered, notepad in" |
| | ratio | 0.879 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 99 | | matches | | 0 | "Whoever’s behind this wanted him" | | 1 | "To lead him" |
| | ratio | 0.02 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "The body lounged against the far wall, arms splayed as if inviting a handshake it could not offer." | | 1 | "Quinn stood alone, pistol still raised. The compass in her pocket fell silent. The chamber hung empty, except for the body and whispering echoes that died as qu…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 42 | | uselessAdditionCount | 1 | | matches | | 0 | "Carter said, voice low" |
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| 95.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 19 | | fancyCount | 5 | | fancyTags | | 0 | "Quinn corrected (correct)" | | 1 | "Quinn snapped (snap)" | | 2 | "Quinn pressed (press)" | | 3 | "Patel yelled (yell)" | | 4 | "she ordered (order)" |
| | dialogueSentences | 91 | | tagDensity | 0.209 | | leniency | 0.418 | | rawRatio | 0.263 | | effectiveRatio | 0.11 | |