| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 1 | | adverbTags | | 0 | "Martin’s fist closed around [around]" |
| | dialogueSentences | 101 | | tagDensity | 0.228 | | leniency | 0.455 | | rawRatio | 0.043 | | effectiveRatio | 0.02 | |
| 95.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1095 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 95.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1095 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1094 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 634 | | uniqueNames | 7 | | maxNameDensity | 4.73 | | worstName | "Martin" | | maxWindowNameDensity | 8.5 | | worstWindowName | "Martin" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 23 | | Blackwood | 1 | | Carter | 1 | | Aurora | 6 | | Martin | 30 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Blackwood" | | 3 | "Carter" | | 4 | "Aurora" | | 5 | "Martin" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1094 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 93 | | mean | 11.76 | | std | 9.45 | | cv | 0.803 | | sampleLengths | | 0 | 55 | | 1 | 27 | | 2 | 10 | | 3 | 6 | | 4 | 32 | | 5 | 2 | | 6 | 15 | | 7 | 12 | | 8 | 19 | | 9 | 42 | | 10 | 5 | | 11 | 18 | | 12 | 8 | | 13 | 17 | | 14 | 5 | | 15 | 3 | | 16 | 2 | | 17 | 5 | | 18 | 9 | | 19 | 12 | | 20 | 27 | | 21 | 6 | | 22 | 3 | | 23 | 5 | | 24 | 15 | | 25 | 26 | | 26 | 9 | | 27 | 4 | | 28 | 2 | | 29 | 4 | | 30 | 13 | | 31 | 11 | | 32 | 20 | | 33 | 2 | | 34 | 11 | | 35 | 11 | | 36 | 10 | | 37 | 15 | | 38 | 5 | | 39 | 4 | | 40 | 14 | | 41 | 7 | | 42 | 9 | | 43 | 5 | | 44 | 3 | | 45 | 17 | | 46 | 8 | | 47 | 8 | | 48 | 28 | | 49 | 22 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 161 | | ratio | 0.006 | | matches | | 0 | "The walls held their usual archive—old maps, black-and-white photographs, the smell of waxed wood and wet wool." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 637 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.01726844583987441 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0015698587127158557 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 6.8 | | std | 4.17 | | cv | 0.614 | | sampleLengths | | 0 | 12 | | 1 | 9 | | 2 | 17 | | 3 | 8 | | 4 | 9 | | 5 | 3 | | 6 | 11 | | 7 | 13 | | 8 | 3 | | 9 | 7 | | 10 | 6 | | 11 | 3 | | 12 | 13 | | 13 | 6 | | 14 | 10 | | 15 | 2 | | 16 | 5 | | 17 | 8 | | 18 | 2 | | 19 | 10 | | 20 | 2 | | 21 | 12 | | 22 | 7 | | 23 | 2 | | 24 | 15 | | 25 | 19 | | 26 | 6 | | 27 | 5 | | 28 | 5 | | 29 | 6 | | 30 | 5 | | 31 | 2 | | 32 | 3 | | 33 | 5 | | 34 | 10 | | 35 | 7 | | 36 | 5 | | 37 | 3 | | 38 | 2 | | 39 | 5 | | 40 | 7 | | 41 | 2 | | 42 | 8 | | 43 | 4 | | 44 | 21 | | 45 | 6 | | 46 | 6 | | 47 | 3 | | 48 | 5 | | 49 | 11 |
| |
| 55.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.37267080745341613 | | totalSentences | 161 | | uniqueOpeners | 60 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 78 | | matches | | 0 | "His coat hung from his" | | 1 | "His shoes scuffed against the" | | 2 | "He braced both hands on" | | 3 | "His hands found the bar" | | 4 | "He poured two fingers without" | | 5 | "She caught Silas’s expression and" | | 6 | "He didn’t wipe it." | | 7 | "His coat dripped onto the" | | 8 | "He picked up Martin’s glass," |
| | ratio | 0.115 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 78 | | matches | | 0 | "Rain flecked the green glow" | | 1 | "The walls held their usual" | | 2 | "Aurora Carter stacked clean glasses" | | 3 | "The room had thinned to" | | 4 | "The door opened." | | 5 | "A man stood in the" | | 6 | "His coat hung from his" | | 7 | "Silas stopped moving." | | 8 | "The cloth went still in" | | 9 | "The word came out low" | | 10 | "Aurora looked up." | | 11 | "The man crossed the floor" | | 12 | "His shoes scuffed against the" | | 13 | "Silas set the tumbler down." | | 14 | "He braced both hands on" | | 15 | "Martin unbuttoned his coat but" | | 16 | "Silas nodded at the stool" | | 17 | "His hands found the bar" | | 18 | "Aurora watched Silas reach for" | | 19 | "He poured two fingers without" |
| | ratio | 0.962 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | 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 | 23 | | uselessAdditionCount | 1 | | matches | | 0 | "Martin’s fist closed around, and the tremor became a faint rattle" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Martin laughed (laugh)" |
| | dialogueSentences | 101 | | tagDensity | 0.01 | | leniency | 0.02 | | rawRatio | 1 | | effectiveRatio | 0.02 | |