| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 2 | | adverbTags | | 0 | "I turned back [back]" | | 1 | "Thorne scrambled backward [backward]" |
| | dialogueSentences | 56 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.071 | | effectiveRatio | 0.071 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1418 | | 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) | |
| 54.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1418 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "echoing" | | 1 | "gloom" | | 2 | "scanning" | | 3 | "silence" | | 4 | "pristine" | | 5 | "etched" | | 6 | "database" | | 7 | "tracing" | | 8 | "rhythmic" | | 9 | "vibrated" | | 10 | "echoed" | | 11 | "pounding" |
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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 | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1416 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1075 | | uniqueNames | 5 | | maxNameDensity | 1.67 | | worstName | "Thorne" | | maxWindowNameDensity | 3 | | worstWindowName | "Thorne" | | discoveredNames | | Tube | 1 | | Victorian | 1 | | Morris | 1 | | Thorne | 18 | | Camden | 1 |
| | persons | | | places | | | globalScore | 0.663 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 58.76% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.412 | | wordCount | 1416 | | matches | | 0 | "No footprints but" | | 1 | "not of bone breaking, but of wood shattering" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 21.78 | | std | 14.27 | | cv | 0.655 | | sampleLengths | | 0 | 4 | | 1 | 31 | | 2 | 36 | | 3 | 30 | | 4 | 33 | | 5 | 25 | | 6 | 37 | | 7 | 10 | | 8 | 31 | | 9 | 4 | | 10 | 33 | | 11 | 8 | | 12 | 60 | | 13 | 14 | | 14 | 31 | | 15 | 2 | | 16 | 14 | | 17 | 33 | | 18 | 47 | | 19 | 11 | | 20 | 34 | | 21 | 4 | | 22 | 48 | | 23 | 2 | | 24 | 28 | | 25 | 32 | | 26 | 13 | | 27 | 11 | | 28 | 2 | | 29 | 32 | | 30 | 2 | | 31 | 36 | | 32 | 28 | | 33 | 19 | | 34 | 8 | | 35 | 3 | | 36 | 23 | | 37 | 30 | | 38 | 8 | | 39 | 13 | | 40 | 56 | | 41 | 3 | | 42 | 31 | | 43 | 12 | | 44 | 37 | | 45 | 14 | | 46 | 28 | | 47 | 9 | | 48 | 28 | | 49 | 9 |
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| 85.59% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 107 | | matches | | 0 | "was shredded" | | 1 | "was welded" | | 2 | "was etched" | | 3 | "been scratched" | | 4 | "being opened" | | 5 | "being dissolved" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 9 | | totalVerbs | 191 | | matches | | 0 | "was turning" | | 1 | "were lengthening" | | 2 | "was standing" | | 3 | "was looking" | | 4 | "was vanishing" | | 5 | "was knitting" | | 6 | "was collapsing" | | 7 | "was smoking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 135 | | ratio | 0.007 | | matches | | 0 | "It didn't use its legs to push up; it simply *ascended*, defying gravity for a fraction of a second before its feet touched the ground." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1077 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavier, pressing against my" |
| | adverbCount | 30 | | adverbRatio | 0.027855153203342618 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008356545961002786 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 10.49 | | std | 6.19 | | cv | 0.591 | | sampleLengths | | 0 | 4 | | 1 | 6 | | 2 | 25 | | 3 | 27 | | 4 | 9 | | 5 | 18 | | 6 | 4 | | 7 | 8 | | 8 | 10 | | 9 | 13 | | 10 | 10 | | 11 | 12 | | 12 | 13 | | 13 | 23 | | 14 | 7 | | 15 | 7 | | 16 | 4 | | 17 | 6 | | 18 | 26 | | 19 | 5 | | 20 | 4 | | 21 | 12 | | 22 | 14 | | 23 | 7 | | 24 | 8 | | 25 | 24 | | 26 | 15 | | 27 | 21 | | 28 | 14 | | 29 | 16 | | 30 | 15 | | 31 | 2 | | 32 | 14 | | 33 | 18 | | 34 | 5 | | 35 | 10 | | 36 | 4 | | 37 | 8 | | 38 | 2 | | 39 | 18 | | 40 | 15 | | 41 | 11 | | 42 | 9 | | 43 | 7 | | 44 | 18 | | 45 | 4 | | 46 | 14 | | 47 | 18 | | 48 | 16 | | 49 | 2 |
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| 45.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.35555555555555557 | | totalSentences | 135 | | uniqueOpeners | 48 | |
| 32.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 102 | | matches | | 0 | "Just a low, rhythmic thrumming" |
| | ratio | 0.01 | |
| 55.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 102 | | matches | | 0 | "I crouched beside the corpse," | | 1 | "I pointed to the man's" | | 2 | "I used a pen to" | | 3 | "It stopped spinning as I" | | 4 | "I stood up, my knees" | | 5 | "I gestured to the dead" | | 6 | "I stepped over the victim's" | | 7 | "I ran my torch over" | | 8 | "I stopped near a pile" | | 9 | "I picked it up." | | 10 | "I slipped the compass into" | | 11 | "I looked back at the" | | 12 | "His skin was turning grey," | | 13 | "I moved towards the tunnel" | | 14 | "I scraped away a layer" | | 15 | "It looked mathematical, precise." | | 16 | "I dusted off my hands" | | 17 | "I turned back to the" | | 18 | "I unholstered my radio, the" | | 19 | "I ignored him." |
| | ratio | 0.412 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 102 | | matches | | 0 | "The warning came out too" | | 1 | "Thorne's latex glove snapped as" | | 2 | "Thorne straightened up, the beam" | | 3 | "I crouched beside the corpse," | | 4 | "Blood usually smells metallic." | | 5 | "This smelled of burnt air" | | 6 | "I pointed to the man's" | | 7 | "The shirt was shredded, but" | | 8 | "Thorne shrugged, scanning the graffiti-covered" | | 9 | "I used a pen to" | | 10 | "A small, carved bone token" | | 11 | "It stopped spinning as I" | | 12 | "Thorne leaned in, squinting." | | 13 | "I stood up, my knees" | | 14 | "I gestured to the dead" | | 15 | "The service door was welded" | | 16 | "I stepped over the victim's" | | 17 | "The air grew heavier, pressing" | | 18 | "Thorne’s voice followed me, laced" | | 19 | "I ran my torch over" |
| | ratio | 0.951 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 1 | | matches | | 0 | "I crouched beside the corpse, ignoring the stinging ozone tang that pricked at the back of my throat." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 4 | | matches | | 0 | "I stood up, my knees clicking in the silence" | | 1 | "Thorne joked, though the humour fell flat in the cold air" | | 2 | "I unholstered, the static hissing like a snake" | | 3 | "Thorne scrambled backward, his boots slipping on the wet tiles" |
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| 42.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 6 | | fancyTags | | 0 | "Thorne called out (call out)" | | 1 | "Thorne joked (joke)" | | 2 | "Thorne laughed (laugh)" | | 3 | "Thorne screamed (scream)" | | 4 | "I shouted (shout)" | | 5 | "I whispered (whisper)" |
| | dialogueSentences | 56 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0.857 | | effectiveRatio | 0.214 | |