| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1301 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "sharply" | | 2 | "quickly" |
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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) | |
| 53.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1301 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "chill" | | 1 | "rhythmic" | | 2 | "pulse" | | 3 | "silence" | | 4 | "echo" | | 5 | "pulsed" | | 6 | "scanned" | | 7 | "whisper" |
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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 | 132 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 132 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1300 | | ratio | 0 | | matches | (empty) | |
| 41.67% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 1 | | matches | | 0 | "Rationalize it, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1292 | | uniqueNames | 11 | | maxNameDensity | 0.62 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Grove" | | discoveredNames | | Grove | 5 | | Richmond | 2 | | Park | 2 | | London | 2 | | Heartstone | 1 | | Eva | 1 | | Golden | 1 | | Empress | 1 | | November | 1 | | Hel | 1 | | Aurora | 8 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "November" | | 4 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 95.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like old wood, bleached by centuri" | | 1 | "It was as if the ground had been muffled by cotton" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.769 | | wordCount | 1300 | | matches | | 0 | "Not the ambient heat of a body, but a rhythmic, feverish thrum" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 132 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 39.39 | | std | 25.43 | | cv | 0.646 | | sampleLengths | | 0 | 116 | | 1 | 46 | | 2 | 40 | | 3 | 94 | | 4 | 66 | | 5 | 59 | | 6 | 37 | | 7 | 14 | | 8 | 73 | | 9 | 11 | | 10 | 47 | | 11 | 10 | | 12 | 42 | | 13 | 9 | | 14 | 55 | | 15 | 3 | | 16 | 49 | | 17 | 14 | | 18 | 34 | | 19 | 29 | | 20 | 48 | | 21 | 22 | | 22 | 9 | | 23 | 50 | | 24 | 11 | | 25 | 29 | | 26 | 64 | | 27 | 41 | | 28 | 8 | | 29 | 33 | | 30 | 31 | | 31 | 59 | | 32 | 47 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 132 | | matches | | 0 | "been muffled" | | 1 | "was absorbed" | | 2 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 10 | | totalVerbs | 215 | | matches | | 0 | "was stuttering" | | 1 | "was scorching" | | 2 | "was reacting" | | 3 | "was standing" | | 4 | "was vibrating" | | 5 | "was watching" | | 6 | "was bleeding" | | 7 | "were not looking" | | 8 | "were looking" | | 9 | "were herding" |
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| 77.92% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 132 | | ratio | 0.023 | | matches | | 0 | "It wasn't a thought; it was a primal knowledge that settled in her gut." | | 1 | "The grass finally made a sound—a dry, rasping whisper." | | 2 | "They didn't move like smoke; they moved like liquid, flowing along the ground, creeping toward her boots." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 128 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.0390625 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.015625 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 9.85 | | std | 5.96 | | cv | 0.605 | | sampleLengths | | 0 | 11 | | 1 | 25 | | 2 | 27 | | 3 | 13 | | 4 | 16 | | 5 | 3 | | 6 | 21 | | 7 | 4 | | 8 | 2 | | 9 | 11 | | 10 | 9 | | 11 | 8 | | 12 | 12 | | 13 | 5 | | 14 | 6 | | 15 | 12 | | 16 | 5 | | 17 | 12 | | 18 | 22 | | 19 | 5 | | 20 | 14 | | 21 | 20 | | 22 | 23 | | 23 | 6 | | 24 | 4 | | 25 | 5 | | 26 | 5 | | 27 | 4 | | 28 | 11 | | 29 | 3 | | 30 | 15 | | 31 | 10 | | 32 | 13 | | 33 | 9 | | 34 | 16 | | 35 | 15 | | 36 | 19 | | 37 | 10 | | 38 | 4 | | 39 | 1 | | 40 | 5 | | 41 | 1 | | 42 | 7 | | 43 | 9 | | 44 | 3 | | 45 | 4 | | 46 | 7 | | 47 | 16 | | 48 | 5 | | 49 | 5 |
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| 31.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 25 | | diversityRatio | 0.20454545454545456 | | totalSentences | 132 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 124 | | matches | | 0 | "Just the sound of her" | | 1 | "Just a fraction." | | 2 | "Just the rough bark and" | | 3 | "Only one minute had passed." |
| | ratio | 0.032 | |
| 36.13% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 124 | | matches | | 0 | "They looked like old wood," | | 1 | "She paused, her hand instinctively" | | 2 | "It was warm." | | 3 | "She checked her watch." | | 4 | "She had left her flat" | | 5 | "She frowned, tapping the face" | | 6 | "It was physics, not ghosts." | | 7 | "She needed to be cool-headed." | | 8 | "It burned through her shirt" | | 9 | "They didn't sway in the" | | 10 | "She took a step forward." | | 11 | "It was as if the" | | 12 | "She stopped, listening." | | 13 | "She told herself it was" | | 14 | "She reached into her pocket" | | 15 | "She pressed the power button." | | 16 | "She hadn't had the battery" | | 17 | "It had been at eighty" | | 18 | "Her voice didn't echo." | | 19 | "It was absorbed instantly by" |
| | ratio | 0.46 | |
| 44.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 103 | | totalSentences | 124 | | matches | | 0 | "The boundary stones of the" | | 1 | "They looked like old wood," | | 2 | "Aurora stepped across the threshold," | | 3 | "She paused, her hand instinctively" | | 4 | "The Heartstone pendant rested against" | | 5 | "It was warm." | | 6 | "She checked her watch." | | 7 | "She had left her flat" | | 8 | "The walk through the park" | | 9 | "She frowned, tapping the face" | | 10 | "The second hand was stuttering," | | 11 | "The Grove was a pocket" | | 12 | "Time dilation was in the" | | 13 | "It was physics, not ghosts." | | 14 | "Aurora adjusted the strap of" | | 15 | "She needed to be cool-headed." | | 16 | "Panic was a luxury she" | | 17 | "It burned through her shirt" | | 18 | "The wildflowers that carpeted the" | | 19 | "They didn't sway in the" |
| | ratio | 0.831 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 124 | | matches | | 0 | "If she ran, she might" | | 1 | "If she stood still, she" | | 2 | "If she stayed, she might" |
| | ratio | 0.024 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 6 | | matches | | 0 | "They looked like old wood, bleached by centuries of rain and wind, standing in a rough circle that swallowed the streetlights of Richmond Park whole." | | 1 | "Not the ambient heat of a body, but a rhythmic, feverish thrum that matched the pulse beating in her own wrist." | | 2 | "The wildflowers that carpeted the floor were out of season, blooming in violent hues of violet and gold that shouldn't exist in November." | | 3 | "Just the sound of her own breathing, which sounded too loud, too wet." | | 4 | "She kept her voice steady, the tone of a woman who had faced down barristers and abusive exes without flinching." | | 5 | "She reached the first standing stone, her breath coming in ragged gasps that tore at her throat." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |