| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 540 | | 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) | |
| 53.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 540 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pulsed" | | 1 | "silence" | | 2 | "footsteps" |
| |
| 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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 20 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 530 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 512 | | uniqueNames | 11 | | maxNameDensity | 1.17 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 3 | | Richmond | 2 | | Park | 1 | | December | 1 | | London | 3 | | Evan | 3 | | Stupid | 1 | | Morse | 1 | | Earth | 1 | | Cardiff | 1 | | Rory | 6 |
| | persons | | 0 | "Heartstone" | | 1 | "Evan" | | 2 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "December" | | 3 | "London" | | 4 | "Morse" | | 5 | "Cardiff" |
| | globalScore | 0.914 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 3.774 | | wordCount | 530 | | matches | | 0 | "not wood but hollows" | | 1 | "not a voice, but the memory of one" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 21.2 | | std | 15.42 | | cv | 0.728 | | sampleLengths | | 0 | 13 | | 1 | 48 | | 2 | 18 | | 3 | 9 | | 4 | 47 | | 5 | 2 | | 6 | 19 | | 7 | 2 | | 8 | 22 | | 9 | 36 | | 10 | 3 | | 11 | 33 | | 12 | 29 | | 13 | 3 | | 14 | 43 | | 15 | 8 | | 16 | 35 | | 17 | 9 | | 18 | 33 | | 19 | 45 | | 20 | 13 | | 21 | 34 | | 22 | 17 | | 23 | 7 | | 24 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 97 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 82 | | ratio | 0.098 | | matches | | 0 | "Moss carpeted the ground between them, thick and spongy, and wildflowers—bluebells and foxgloves—bloomed in the December frost." | | 1 | "Her left wrist itched—the crescent scar from her eighth birthday, when Evan had dared her to climb the fence." | | 2 | "Not with the wind—there was none—but with intention." | | 3 | "The rhythm didn't match hers—slower, deeper, four beats to her one." | | 4 | "Boots on moss made no sound, but she heard them anyway—felt them in the vibration of the Heartstone." | | 5 | "Oak bark peeled back, revealing not wood but hollows—dark tunnels leading somewhere that wasn't Richmond, wasn't London, wasn't Earth." | | 6 | "Wrong proportions—arms too long, head tilted at an angle that would break a human neck." | | 7 | "A sound came from it—not a voice, but the memory of one." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 522 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.019157088122605363 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 6.46 | | std | 4.85 | | cv | 0.75 | | sampleLengths | | 0 | 7 | | 1 | 6 | | 2 | 2 | | 3 | 12 | | 4 | 17 | | 5 | 17 | | 6 | 5 | | 7 | 8 | | 8 | 5 | | 9 | 3 | | 10 | 6 | | 11 | 3 | | 12 | 6 | | 13 | 9 | | 14 | 5 | | 15 | 2 | | 16 | 19 | | 17 | 3 | | 18 | 2 | | 19 | 4 | | 20 | 2 | | 21 | 9 | | 22 | 2 | | 23 | 2 | | 24 | 2 | | 25 | 3 | | 26 | 8 | | 27 | 7 | | 28 | 2 | | 29 | 2 | | 30 | 5 | | 31 | 5 | | 32 | 9 | | 33 | 6 | | 34 | 2 | | 35 | 2 | | 36 | 7 | | 37 | 3 | | 38 | 14 | | 39 | 8 | | 40 | 11 | | 41 | 9 | | 42 | 1 | | 43 | 6 | | 44 | 5 | | 45 | 8 | | 46 | 3 | | 47 | 8 | | 48 | 2 | | 49 | 1 |
| |
| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.45121951219512196 | | totalSentences | 82 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 60 | | matches | | 0 | "She pushed through the wall" | | 1 | "Her breath came in white" | | 2 | "Her voice fell flat, absorbed" | | 3 | "She stepped forward." | | 4 | "Her left wrist itched—the crescent" | | 5 | "She rubbed it." | | 6 | "She checked her phone." | | 7 | "She walked ten paces, boots" | | 8 | "Her shoulder blades met oak." | | 9 | "She wasn't alone." | | 10 | "Her ex didn't know this" | | 11 | "She moved toward the center" | | 12 | "Her voice didn't shake." | | 13 | "She saw the shape now." | | 14 | "It stood between two of" | | 15 | "It spoke with Evan's accent," |
| | ratio | 0.267 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 60 | | matches | | 0 | "She pushed through the wall" | | 1 | "The Heartstone seared against her" | | 2 | "Her breath came in white" | | 3 | "The standing stones rose before" | | 4 | "Moss carpeted the ground between" | | 5 | "Her voice fell flat, absorbed" | | 6 | "The pendant pulsed." | | 7 | "Crimson light leaked through her" | | 8 | "She stepped forward." | | 9 | "The boundary stones marked a" | | 10 | "Her left wrist itched—the crescent" | | 11 | "She rubbed it." | | 12 | "She checked her phone." | | 13 | "She walked ten paces, boots" | | 14 | "The flowers turned." | | 15 | "Hundreds of petals rotated to" | | 16 | "Rory backed toward the stones." | | 17 | "Her shoulder blades met oak." | | 18 | "The wood groaned, a sound" | | 19 | "The standing stone behind her" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "It spoke (speak)" |
| | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |