| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 80.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1031 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "suddenly" |
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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) | |
| 46.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1031 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "warmth" | | 1 | "rhythmic" | | 2 | "pulse" | | 3 | "pulsed" | | 4 | "fractured" | | 5 | "measured" | | 6 | "silence" | | 7 | "weight" | | 8 | "resonance" |
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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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1031 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 1031 | | uniqueNames | 7 | | maxNameDensity | 0.29 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "London" | | discoveredNames | | Rory | 3 | | Richmond | 1 | | Fae | 1 | | Grove | 1 | | Eva | 1 | | London | 2 | | Aurora | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed fine before she got here" | | 1 | "smelled like: green and cold, like water o" |
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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 | 1031 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 102 | | matches | | 0 | "warning that the" | | 1 | "told that much" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 25.78 | | std | 24.45 | | cv | 0.949 | | sampleLengths | | 0 | 3 | | 1 | 46 | | 2 | 51 | | 3 | 8 | | 4 | 81 | | 5 | 10 | | 6 | 3 | | 7 | 38 | | 8 | 50 | | 9 | 6 | | 10 | 71 | | 11 | 4 | | 12 | 31 | | 13 | 6 | | 14 | 62 | | 15 | 30 | | 16 | 4 | | 17 | 1 | | 18 | 36 | | 19 | 7 | | 20 | 1 | | 21 | 12 | | 22 | 30 | | 23 | 9 | | 24 | 59 | | 25 | 12 | | 26 | 9 | | 27 | 51 | | 28 | 9 | | 29 | 64 | | 30 | 26 | | 31 | 68 | | 32 | 10 | | 33 | 54 | | 34 | 4 | | 35 | 4 | | 36 | 54 | | 37 | 1 | | 38 | 3 | | 39 | 3 |
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| 94.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 102 | | matches | | 0 | "been told" | | 1 | "been kept" | | 2 | "been flattened" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 163 | | matches | | 0 | "was holding" | | 1 | "was burning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 102 | | ratio | 0 | | matches | (empty) | |
| 87.49% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1033 | | adjectiveStacks | 1 | | stackExamples | | 0 | "absolute, bone-deep certainty" |
| | adverbCount | 49 | | adverbRatio | 0.04743465634075508 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008712487899322363 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 10.11 | | std | 10.27 | | cv | 1.016 | | sampleLengths | | 0 | 3 | | 1 | 20 | | 2 | 4 | | 3 | 2 | | 4 | 20 | | 5 | 4 | | 6 | 4 | | 7 | 34 | | 8 | 9 | | 9 | 8 | | 10 | 19 | | 11 | 32 | | 12 | 30 | | 13 | 10 | | 14 | 3 | | 15 | 9 | | 16 | 19 | | 17 | 2 | | 18 | 1 | | 19 | 7 | | 20 | 2 | | 21 | 13 | | 22 | 19 | | 23 | 4 | | 24 | 11 | | 25 | 1 | | 26 | 6 | | 27 | 14 | | 28 | 17 | | 29 | 5 | | 30 | 26 | | 31 | 2 | | 32 | 2 | | 33 | 5 | | 34 | 4 | | 35 | 25 | | 36 | 4 | | 37 | 1 | | 38 | 1 | | 39 | 6 | | 40 | 26 | | 41 | 2 | | 42 | 2 | | 43 | 32 | | 44 | 8 | | 45 | 18 | | 46 | 4 | | 47 | 4 | | 48 | 1 | | 49 | 3 |
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| 64.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.43137254901960786 | | totalSentences | 102 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 77 | | matches | | 0 | "Just the trees, planted in" | | 1 | "Then she heard it." | | 2 | "Then something moved at the" | | 3 | "Just the dark space between" | | 4 | "Just that one patch, two" | | 5 | "Somewhere underneath both, a resonance" |
| | ratio | 0.078 | |
| 79.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 77 | | matches | | 0 | "She had a torch." | | 1 | "She didn't use it." | | 2 | "It preferred to be seen" | | 3 | "She pressed a hand flat" | | 4 | "It had led her here," | | 5 | "She'd followed it the same" | | 6 | "She stepped through." | | 7 | "She turned back to the" | | 8 | "They had no business blooming" | | 9 | "She'd been told that much." | | 10 | "She pressed her fingers against" | | 11 | "She moved deeper into the" | | 12 | "She stopped at the centre" | | 13 | "She stood still, listening." | | 14 | "She spun around, her torch" | | 15 | "She held her own breath" | | 16 | "She let out a slow" | | 17 | "She snapped her head left." | | 18 | "She stared until her eyes" | | 19 | "She took a step toward" |
| | ratio | 0.351 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 77 | | matches | | 0 | "The pendant burned." | | 1 | "This was something hotter." | | 2 | "She had a torch." | | 3 | "She didn't use it." | | 4 | "The standing stones that ringed" | | 5 | "It preferred to be seen" | | 6 | "That had seemed fine, before" | | 7 | "She pressed a hand flat" | | 8 | "It had led her here," | | 9 | "She'd followed it the same" | | 10 | "The gap between two oaks" | | 11 | "She stepped through." | | 12 | "The air changed the moment" | | 13 | "The distant motorway noise that" | | 14 | "The gap was still there," | | 15 | "Nothing moved out there." | | 16 | "She turned back to the" | | 17 | "Wildflowers covered the ground, crowding" | | 18 | "They had no business blooming" | | 19 | "She'd been told that much." |
| | ratio | 0.701 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | 0 | "If you turn suddenly it'll" |
| | ratio | 0.013 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "The standing stones that ringed the Fae Grove were visible even without light, their pale bark catching the moon's thin glow, and she knew from Eva's warning th…" | | 1 | "Just that one patch, two feet wide and roughly oval, pressed down against the earth as if something had stood on them." | | 2 | "One hand loose at her side, the other wrapped around the pendant, which was burning again, burning hard enough to raise a welt, and she did not look back even a…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |