| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1538 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 41.48% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1538 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "down her spine" | | count | 1 |
| | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "footfall" | | 3 | "weight" | | 4 | "pulsed" | | 5 | "silence" | | 6 | "could feel" | | 7 | "down her spine" | | 8 | "throb" | | 9 | "echo" | | 10 | "whisper" | | 11 | "tension" | | 12 | "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 | 1 | | narrationSentences | 127 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 127 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 12 | | totalWords | 1535 | | ratio | 0.008 | | matches | | 0 | "don't look at the face" | | 1 | "Where are you? You said 30 min." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1518 | | uniqueNames | 13 | | maxNameDensity | 0.4 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 1 | | Rory | 6 | | Grove | 4 | | Golden | 1 | | Empress | 1 | | Isabella | 1 | | Plantation | 1 | | English | 1 | | London | 3 | | December | 1 | | London-adjusted | 1 | | Eva | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "Isabella" | | 4 | "Plantation" | | 5 | "London" | | 6 | "December" |
| | globalScore | 1 | | windowScore | 1 | |
| 20.13% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like an invitation" | | 1 | "her that seemed to shrink with every step, the darkness pressing closer, denser, as if it had weight and intention" | | 2 | "looked like a path, or a mouth, or nothin" | | 3 | "appeared, impossibly bright the way stars look only far from cities, and she understood that she wasn't moving toward London anymore" |
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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 | 1535 | | matches | (empty) | |
| 90.33% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 131 | | matches | | 0 | "understood that it" | | 1 | "catalogued that information" | | 2 | "understood that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 34.89 | | std | 27.96 | | cv | 0.802 | | sampleLengths | | 0 | 14 | | 1 | 56 | | 2 | 6 | | 3 | 49 | | 4 | 67 | | 5 | 4 | | 6 | 18 | | 7 | 89 | | 8 | 8 | | 9 | 63 | | 10 | 57 | | 11 | 4 | | 12 | 79 | | 13 | 13 | | 14 | 7 | | 15 | 56 | | 16 | 2 | | 17 | 32 | | 18 | 2 | | 19 | 46 | | 20 | 33 | | 21 | 52 | | 22 | 48 | | 23 | 5 | | 24 | 7 | | 25 | 67 | | 26 | 68 | | 27 | 37 | | 28 | 13 | | 29 | 44 | | 30 | 62 | | 31 | 4 | | 32 | 60 | | 33 | 58 | | 34 | 5 | | 35 | 70 | | 36 | 42 | | 37 | 2 | | 38 | 107 | | 39 | 33 | | 40 | 7 | | 41 | 11 | | 42 | 11 | | 43 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 127 | | matches | | |
| 84.56% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 231 | | matches | | 0 | "was standing" | | 1 | "was dying" | | 2 | "was studying" | | 3 | "was approaching" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 131 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1521 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.024983563445101907 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.005917159763313609 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 11.72 | | std | 9.77 | | cv | 0.834 | | sampleLengths | | 0 | 14 | | 1 | 6 | | 2 | 15 | | 3 | 31 | | 4 | 1 | | 5 | 3 | | 6 | 6 | | 7 | 32 | | 8 | 3 | | 9 | 14 | | 10 | 7 | | 11 | 11 | | 12 | 23 | | 13 | 26 | | 14 | 3 | | 15 | 1 | | 16 | 3 | | 17 | 15 | | 18 | 6 | | 19 | 18 | | 20 | 29 | | 21 | 7 | | 22 | 29 | | 23 | 8 | | 24 | 3 | | 25 | 6 | | 26 | 17 | | 27 | 13 | | 28 | 24 | | 29 | 3 | | 30 | 24 | | 31 | 30 | | 32 | 4 | | 33 | 16 | | 34 | 4 | | 35 | 20 | | 36 | 31 | | 37 | 4 | | 38 | 4 | | 39 | 5 | | 40 | 4 | | 41 | 4 | | 42 | 7 | | 43 | 3 | | 44 | 20 | | 45 | 4 | | 46 | 29 | | 47 | 2 | | 48 | 5 | | 49 | 5 |
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| 40.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3053435114503817 | | totalSentences | 131 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 93.68% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 114 | | matches | | 0 | "She'd told herself this was" | | 1 | "It was there." | | 2 | "She'd turned to retrace her" | | 3 | "She kept moving." | | 4 | "Her phone torch carved a" | | 5 | "She heard the stream before" | | 6 | "It came from her left," | | 7 | "It hummed at a frequency" | | 8 | "She could feel it in" | | 9 | "She forced herself to breathe." | | 10 | "She held her breath." | | 11 | "Her voice came out steady." | | 12 | "She was proud of that." | | 13 | "Her hands told a different" | | 14 | "She swept the light in" | | 15 | "It didn't move." | | 16 | "She couldn't determine its shape" | | 17 | "She could think of no" | | 18 | "She took a step backward." | | 19 | "It covered twice the distance" |
| | ratio | 0.316 | |
| 21.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 114 | | matches | | 0 | "The iron gate of Richmond" | | 1 | "She'd told herself this was" | | 2 | "Eva had sketched the route" | | 3 | "That had been an hour" | | 4 | "The pendant lay against her" | | 5 | "It was there." | | 6 | "A heartbeat that wasn't hers," | | 7 | "The path had disappeared ten" | | 8 | "She'd turned to retrace her" | | 9 | "She kept moving." | | 10 | "The alternative was standing still," | | 11 | "The oaks around her had" | | 12 | "London oaks, even the ancient" | | 13 | "These trees grew upward and" | | 14 | "Her phone torch carved a" | | 15 | "She heard the stream before" | | 16 | "That was wrong." | | 17 | "Eva's napkin map showed no" | | 18 | "The only water feature near" | | 19 | "This sound was intimate, conversational," |
| | ratio | 0.877 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 114 | | matches | (empty) | | ratio | 0 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 9 | | matches | | 0 | "Her phone torch carved a pale tunnel ahead of her that seemed to shrink with every step, the darkness pressing closer, denser, as if it had weight and intention…" | | 1 | "And beyond the gap, at the furthest edge of her torch's reach, something that was the wrong colour." | | 2 | "Something that might have been a limb, bent at an angle that suggested too many joints." | | 3 | "The heat became a vibration became a high, thin note that existed only between her ribs, and she pressed her palm flat against it and felt the gemstone kick lik…" | | 4 | "The geometry was wrong, as though the space between the trees compressed to accommodate its movement, folding the forest like paper." | | 5 | "A circle of brown decay spread outward from where it stood, the lush green curling and blackening in a ring that widened as she watched." | | 6 | "Wildflowers brushed her ankles, absurd in their delicacy, tiny white and purple blossoms that had no business blooming in December's dead heart." | | 7 | "The air on the other side tasted different, sweeter, with a mineral clarity that made her London-adjusted lungs ache." | | 8 | "A head that was too high and too smooth and featured nothing that served as a face except for a depression, a shallow concavity where features should have been,…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.5 | | effectiveRatio | 0.333 | |