| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 981 | | 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) | |
| 13.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 981 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "silence" | | 1 | "throb" | | 2 | "rhythmic" | | 3 | "pulse" | | 4 | "weight" | | 5 | "scanning" | | 6 | "gloom" | | 7 | "whisper" | | 8 | "echo" | | 9 | "echoed" | | 10 | "stomach" | | 11 | "flickered" | | 12 | "dancing" | | 13 | "pulsed" |
| |
| 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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 981 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.86% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 959 | | uniqueNames | 8 | | maxNameDensity | 1.04 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 10 | | Richmond | 1 | | Park | 1 | | Heathrow-bound | 1 | | Kingston | 1 | | November | 1 | | London | 2 | | Heartstone | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Kingston" | | 3 | "London" |
| | globalScore | 0.979 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | 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 | 981 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 27.25 | | std | 20.82 | | cv | 0.764 | | sampleLengths | | 0 | 33 | | 1 | 54 | | 2 | 6 | | 3 | 56 | | 4 | 50 | | 5 | 32 | | 6 | 9 | | 7 | 61 | | 8 | 26 | | 9 | 3 | | 10 | 46 | | 11 | 6 | | 12 | 54 | | 13 | 19 | | 14 | 18 | | 15 | 7 | | 16 | 18 | | 17 | 9 | | 18 | 62 | | 19 | 15 | | 20 | 76 | | 21 | 7 | | 22 | 41 | | 23 | 24 | | 24 | 42 | | 25 | 14 | | 26 | 4 | | 27 | 24 | | 28 | 6 | | 29 | 18 | | 30 | 3 | | 31 | 2 | | 32 | 61 | | 33 | 37 | | 34 | 14 | | 35 | 24 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 141 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 90 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 969 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "translucent, needle-thin teeth." |
| | adverbCount | 21 | | adverbRatio | 0.021671826625386997 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009287925696594427 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 10.9 | | std | 5.62 | | cv | 0.516 | | sampleLengths | | 0 | 16 | | 1 | 17 | | 2 | 8 | | 3 | 6 | | 4 | 26 | | 5 | 14 | | 6 | 6 | | 7 | 9 | | 8 | 10 | | 9 | 6 | | 10 | 9 | | 11 | 22 | | 12 | 4 | | 13 | 19 | | 14 | 17 | | 15 | 10 | | 16 | 13 | | 17 | 19 | | 18 | 9 | | 19 | 6 | | 20 | 24 | | 21 | 12 | | 22 | 7 | | 23 | 12 | | 24 | 9 | | 25 | 17 | | 26 | 3 | | 27 | 22 | | 28 | 10 | | 29 | 14 | | 30 | 6 | | 31 | 5 | | 32 | 14 | | 33 | 15 | | 34 | 6 | | 35 | 14 | | 36 | 6 | | 37 | 13 | | 38 | 14 | | 39 | 2 | | 40 | 2 | | 41 | 7 | | 42 | 15 | | 43 | 3 | | 44 | 9 | | 45 | 9 | | 46 | 21 | | 47 | 5 | | 48 | 7 | | 49 | 11 |
| |
| 48.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3333333333333333 | | totalSentences | 90 | | uniqueOpeners | 30 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 84 | | matches | | 0 | "Even the dry rustle of" | | 1 | "Then the numbers scrambled, jumping" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 84 | | matches | | 0 | "She yanked the fabric free," | | 1 | "He had omitted the suffocating" | | 2 | "It carried the crisp scent" | | 3 | "They bloomed in a lush," | | 4 | "It never heated for common" | | 5 | "It only woke when something" | | 6 | "It was not the light" | | 7 | "She turned back to the" | | 8 | "It lacked consonants, sliding into" | | 9 | "she called out" | | 10 | "It fell onto the shoulder" | | 11 | "She reached up, touching the" | | 12 | "It smelled of brine and" | | 13 | "Her balance slipped for half" | | 14 | "She pulled her phone from" | | 15 | "She stepped out from the" | | 16 | "Her trainers sank into the" | | 17 | "she said to the air," | | 18 | "It did not come from" | | 19 | "It crawled up from the" |
| | ratio | 0.274 | |
| 49.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 84 | | matches | | 0 | "The jagged oak bark bit" | | 1 | "A stubborn bramble snagged the" | | 2 | "She yanked the fabric free," | | 3 | "Silas had promised a simple" | | 4 | "He had omitted the suffocating" | | 5 | "Rory crouched behind the first" | | 6 | "London had died the instant" | | 7 | "The air smelled wrong." | | 8 | "It carried the crisp scent" | | 9 | "They bloomed in a lush," | | 10 | "Rory rubbed her thumb over" | | 11 | "The skin there always prickled" | | 12 | "The Heartstone pendant began to" | | 13 | "A deep crimson glow seeped" | | 14 | "The tiny silver chain bit" | | 15 | "It never heated for common" | | 16 | "It only woke when something" | | 17 | "Rory kept her back pressed" | | 18 | "The timber felt colder than" | | 19 | "A twig snapped." |
| | ratio | 0.821 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 84 | | matches | | 0 | "Yet, as she stared, sap" | | 1 | "To her left, the grass" |
| | ratio | 0.024 | |
| 96.27% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 3 | | matches | | 0 | "The canopy was a dense criss-cross of black boughs, choked with vibrant green leaves that should have rotted two months ago." | | 1 | "A wake formed in the clover, moving steadily toward her, parting as if parted by an invisible keel." | | 2 | "The creature had no eyes, only twin hollows running black with the same foul sap that fell from the canopy." |
| |
| 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 | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |