| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 133 | | tagDensity | 0.023 | | leniency | 0.045 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2400 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 91.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2400 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "trembled" | | 1 | "pulse" | | 2 | "warmth" | | 3 | "silence" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 176 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 176 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 306 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2400 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 31 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 101 | | wordCount | 1280 | | uniqueNames | 9 | | maxNameDensity | 3.75 | | worstName | "Aurora" | | maxWindowNameDensity | 7.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Golden | 2 | | Empress | 2 | | Lisbon | 1 | | Eva | 32 | | Aurora | 48 | | Cardiff | 1 | | Silas | 13 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Eva" | | 3 | "Aurora" | | 4 | "Silas" |
| | places | | 0 | "Golden" | | 1 | "Lisbon" | | 2 | "Cardiff" |
| | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | 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 | 2400 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 306 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 214 | | mean | 11.21 | | std | 11.81 | | cv | 1.053 | | sampleLengths | | 0 | 51 | | 1 | 50 | | 2 | 43 | | 3 | 7 | | 4 | 60 | | 5 | 10 | | 6 | 4 | | 7 | 26 | | 8 | 11 | | 9 | 9 | | 10 | 4 | | 11 | 7 | | 12 | 6 | | 13 | 39 | | 14 | 8 | | 15 | 3 | | 16 | 9 | | 17 | 7 | | 18 | 3 | | 19 | 3 | | 20 | 13 | | 21 | 14 | | 22 | 51 | | 23 | 27 | | 24 | 5 | | 25 | 5 | | 26 | 3 | | 27 | 10 | | 28 | 2 | | 29 | 42 | | 30 | 39 | | 31 | 3 | | 32 | 3 | | 33 | 32 | | 34 | 12 | | 35 | 5 | | 36 | 7 | | 37 | 3 | | 38 | 25 | | 39 | 2 | | 40 | 20 | | 41 | 3 | | 42 | 6 | | 43 | 6 | | 44 | 4 | | 45 | 13 | | 46 | 3 | | 47 | 4 | | 48 | 12 | | 49 | 19 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 176 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 218 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 306 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1282 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.014820592823712949 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.00078003120124805 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 306 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 306 | | mean | 7.84 | | std | 6.79 | | cv | 0.866 | | sampleLengths | | 0 | 21 | | 1 | 17 | | 2 | 7 | | 3 | 6 | | 4 | 19 | | 5 | 9 | | 6 | 11 | | 7 | 7 | | 8 | 4 | | 9 | 17 | | 10 | 12 | | 11 | 10 | | 12 | 4 | | 13 | 7 | | 14 | 8 | | 15 | 12 | | 16 | 11 | | 17 | 29 | | 18 | 10 | | 19 | 4 | | 20 | 7 | | 21 | 5 | | 22 | 7 | | 23 | 7 | | 24 | 11 | | 25 | 9 | | 26 | 4 | | 27 | 7 | | 28 | 6 | | 29 | 2 | | 30 | 6 | | 31 | 10 | | 32 | 21 | | 33 | 8 | | 34 | 3 | | 35 | 9 | | 36 | 7 | | 37 | 3 | | 38 | 3 | | 39 | 13 | | 40 | 14 | | 41 | 2 | | 42 | 10 | | 43 | 31 | | 44 | 8 | | 45 | 13 | | 46 | 14 | | 47 | 5 | | 48 | 5 | | 49 | 3 |
| |
| 45.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.1568627450980392 | | totalSentences | 306 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 163 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 163 | | matches | | 0 | "Her trainers squeaked on the" | | 1 | "His signet ring tapped the" | | 2 | "He did not lift his" | | 3 | "He only stopped wiping." | | 4 | "Her hands rested on either" | | 5 | "Her hair had been cut" | | 6 | "Her chair scraped against the" | | 7 | "She stopped a few feet" | | 8 | "He carried two glasses of" | | 9 | "His hazel eyes held no" | | 10 | "He turned and crossed to" | | 11 | "His hand moved along the" | | 12 | "She placed it on the" | | 13 | "She could not tell." | | 14 | "Her hand was steady." | | 15 | "She set it down again" | | 16 | "She did not blink." | | 17 | "Her fingers stopped short of" | | 18 | "He closed the door again." | | 19 | "It weighed almost nothing." |
| | ratio | 0.202 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 151 | | totalSentences | 163 | | matches | | 0 | "The green sign of The" | | 1 | "Aurora pushed through the door" | | 2 | "Steam from dumplings clung to" | | 3 | "Her trainers squeaked on the" | | 4 | "The bar smelled of lemon" | | 5 | "Silas stood behind the bar" | | 6 | "His signet ring tapped the" | | 7 | "He did not lift his" | | 8 | "He only stopped wiping." | | 9 | "Aurora followed the line of" | | 10 | "A woman sat beneath the" | | 11 | "Her hands rested on either" | | 12 | "Her hair had been cut" | | 13 | "The girl who had once" | | 14 | "Aurora’s hand tightened on the" | | 15 | "Eva looked at her." | | 16 | "Rain drummed against the window." | | 17 | "The beer taps dripped into" | | 18 | "Silas placed the cloth over" | | 19 | "Aurora did not take her" |
| | ratio | 0.926 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 163 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 133 | | tagDensity | 0.023 | | leniency | 0.045 | | rawRatio | 0 | | effectiveRatio | 0 | |