| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her hand closed around [around]" |
| | dialogueSentences | 22 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.1 | | effectiveRatio | 0.091 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1442 | | 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) | |
| 79.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1442 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulse" | | 1 | "echo" | | 2 | "pulsed" | | 3 | "weight" | | 4 | "warmth" |
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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 | 173 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 173 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 187 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1442 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1375 | | uniqueNames | 13 | | maxNameDensity | 0.87 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Rory | 12 | | Heartstone | 3 | | January | 1 | | Fae | 1 | | Grove | 1 | | London | 1 | | Golden | 1 | | Empress | 1 | | Eva | 2 | | Cardiff | 1 | | Camden | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "January" | | 3 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "London" | | 5 | "Cardiff" | | 6 | "Camden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1442 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 187 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 22.18 | | std | 21.84 | | cv | 0.984 | | sampleLengths | | 0 | 51 | | 1 | 65 | | 2 | 75 | | 3 | 57 | | 4 | 70 | | 5 | 10 | | 6 | 13 | | 7 | 40 | | 8 | 10 | | 9 | 13 | | 10 | 68 | | 11 | 5 | | 12 | 2 | | 13 | 25 | | 14 | 1 | | 15 | 5 | | 16 | 50 | | 17 | 4 | | 18 | 98 | | 19 | 15 | | 20 | 7 | | 21 | 6 | | 22 | 36 | | 23 | 2 | | 24 | 1 | | 25 | 27 | | 26 | 4 | | 27 | 2 | | 28 | 6 | | 29 | 5 | | 30 | 16 | | 31 | 25 | | 32 | 3 | | 33 | 61 | | 34 | 15 | | 35 | 5 | | 36 | 20 | | 37 | 6 | | 38 | 2 | | 39 | 20 | | 40 | 18 | | 41 | 19 | | 42 | 13 | | 43 | 12 | | 44 | 25 | | 45 | 31 | | 46 | 17 | | 47 | 41 | | 48 | 6 | | 49 | 49 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 173 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 209 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 187 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 128 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.03125 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0078125 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 187 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 187 | | mean | 7.71 | | std | 5.73 | | cv | 0.743 | | sampleLengths | | 0 | 12 | | 1 | 23 | | 2 | 5 | | 3 | 11 | | 4 | 11 | | 5 | 10 | | 6 | 7 | | 7 | 5 | | 8 | 2 | | 9 | 2 | | 10 | 2 | | 11 | 26 | | 12 | 9 | | 13 | 27 | | 14 | 7 | | 15 | 8 | | 16 | 24 | | 17 | 3 | | 18 | 17 | | 19 | 14 | | 20 | 8 | | 21 | 2 | | 22 | 13 | | 23 | 9 | | 24 | 3 | | 25 | 17 | | 26 | 8 | | 27 | 14 | | 28 | 14 | | 29 | 2 | | 30 | 3 | | 31 | 5 | | 32 | 5 | | 33 | 13 | | 34 | 4 | | 35 | 17 | | 36 | 3 | | 37 | 4 | | 38 | 2 | | 39 | 5 | | 40 | 5 | | 41 | 8 | | 42 | 2 | | 43 | 5 | | 44 | 8 | | 45 | 5 | | 46 | 8 | | 47 | 1 | | 48 | 5 | | 49 | 2 |
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| 33.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 31 | | diversityRatio | 0.25405405405405407 | | totalSentences | 185 | | uniqueOpeners | 47 | |
| 22.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 151 | | matches | | 0 | "Only the scent of char" |
| | ratio | 0.007 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 151 | | matches | | 0 | "She waited until its red" | | 1 | "She bit down on the" | | 2 | "Its ink bled where her" | | 3 | "She had laughed at the" | | 4 | "It carried the smell of" | | 5 | "It fell without a sound." | | 6 | "She kept her hands open" | | 7 | "They faced her." | | 8 | "Their stems held no tremble." | | 9 | "Her voice landed flat against" | | 10 | "They dropped into the flowers" | | 11 | "She pulled out her phone." | | 12 | "She put the phone back." | | 13 | "She faced the centre of" | | 14 | "It led to a split" | | 15 | "She stepped away from it." | | 16 | "Her hand closed around the" | | 17 | "She stared at the pocket," | | 18 | "It rang a second time," | | 19 | "It had her mother’s cadence" |
| | ratio | 0.285 | |
| 16.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 134 | | totalSentences | 151 | | matches | | 0 | "The last bus rolled away" | | 1 | "She waited until its red" | | 2 | "The frame knocked her shin." | | 3 | "She bit down on the" | | 4 | "The note in her jacket" | | 5 | "Its ink bled where her" | | 6 | "The deep crimson stone, no" | | 7 | "She had laughed at the" | | 8 | "The path narrowed." | | 9 | "Richmond Park spread around her" | | 10 | "Rory walked with one hand" | | 11 | "The grass did not bend" | | 12 | "The grass stood straight, each" | | 13 | "A gate she did not" | | 14 | "The air changed." | | 15 | "It carried the smell of" | | 16 | "Oak trunks rose like pillars," | | 17 | "The Fae Grove." | | 18 | "Rory set the bicycle down." | | 19 | "It fell without a sound." |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 151 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 2 | | matches | | 0 | "The deep crimson stone, no bigger than her thumbnail, sat on its silver chain and tapped her sternum with a pulse that did not match her heart." | | 1 | "The Heartstone hung in front of her, its crimson depth lit from inside by a glow that moved like something breathing underwater." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "The voice softened, and the softness wore her own accent" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |