| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 38 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "His voice softened almost [almost]" | | 2 | "The words dropped like [like]" | | 3 | "he said quietly [quietly]" |
| | dialogueSentences | 85 | | tagDensity | 0.447 | | leniency | 0.894 | | rawRatio | 0.105 | | effectiveRatio | 0.094 | |
| 74.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2147 | | totalAiIsmAdverbs | 11 | | found | | | highlights | | 0 | "suddenly" | | 1 | "really" | | 2 | "softly" | | 3 | "quickly" | | 4 | "slightly" | | 5 | "slowly" |
| |
| 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) | |
| 51.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2147 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "shattered" | | 1 | "charged" | | 2 | "electric" | | 3 | "stomach" | | 4 | "sanctuary" | | 5 | "familiar" | | 6 | "silence" | | 7 | "reminder" | | 8 | "traced" | | 9 | "weight" | | 10 | "flickered" | | 11 | "gleaming" | | 12 | "loomed" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 165 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 165 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 212 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2147 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.34% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1283 | | uniqueNames | 14 | | maxNameDensity | 1.01 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Blackwood | 1 | | Raven | 3 | | Nest | 3 | | Soho | 1 | | London | 2 | | Silas | 13 | | Cardiff | 1 | | Evan | 1 | | Prague | 2 | | Swallowed | 1 | | Spymaster | 2 | | Aurora | 5 | | Seven | 3 |
| | persons | | 0 | "Carter" | | 1 | "Blackwood" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Silas" | | 5 | "Evan" | | 6 | "Aurora" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Prague" |
| | globalScore | 0.993 | | windowScore | 1 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite a smile" | | 1 | "seemed invincible" | | 2 | "Something like pride flickered across his fe" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2147 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 212 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 25.26 | | std | 16.03 | | cv | 0.635 | | sampleLengths | | 0 | 11 | | 1 | 75 | | 2 | 3 | | 3 | 33 | | 4 | 21 | | 5 | 36 | | 6 | 44 | | 7 | 21 | | 8 | 46 | | 9 | 21 | | 10 | 6 | | 11 | 15 | | 12 | 12 | | 13 | 58 | | 14 | 19 | | 15 | 28 | | 16 | 17 | | 17 | 10 | | 18 | 50 | | 19 | 12 | | 20 | 3 | | 21 | 19 | | 22 | 11 | | 23 | 38 | | 24 | 11 | | 25 | 54 | | 26 | 46 | | 27 | 9 | | 28 | 45 | | 29 | 25 | | 30 | 9 | | 31 | 29 | | 32 | 37 | | 33 | 48 | | 34 | 12 | | 35 | 4 | | 36 | 20 | | 37 | 45 | | 38 | 18 | | 39 | 12 | | 40 | 46 | | 41 | 8 | | 42 | 37 | | 43 | 40 | | 44 | 21 | | 45 | 7 | | 46 | 51 | | 47 | 10 | | 48 | 2 | | 49 | 38 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 165 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 215 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 212 | | ratio | 0 | | matches | (empty) | |
| 88.27% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1289 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 60 | | adverbRatio | 0.04654771140418929 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.01474010861132661 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 212 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 212 | | mean | 10.13 | | std | 8.29 | | cv | 0.818 | | sampleLengths | | 0 | 11 | | 1 | 17 | | 2 | 18 | | 3 | 2 | | 4 | 1 | | 5 | 8 | | 6 | 29 | | 7 | 3 | | 8 | 8 | | 9 | 25 | | 10 | 14 | | 11 | 7 | | 12 | 13 | | 13 | 19 | | 14 | 4 | | 15 | 3 | | 16 | 3 | | 17 | 19 | | 18 | 19 | | 19 | 17 | | 20 | 4 | | 21 | 3 | | 22 | 4 | | 23 | 13 | | 24 | 26 | | 25 | 17 | | 26 | 4 | | 27 | 4 | | 28 | 2 | | 29 | 10 | | 30 | 5 | | 31 | 5 | | 32 | 7 | | 33 | 8 | | 34 | 27 | | 35 | 23 | | 36 | 10 | | 37 | 9 | | 38 | 15 | | 39 | 13 | | 40 | 14 | | 41 | 3 | | 42 | 5 | | 43 | 5 | | 44 | 3 | | 45 | 13 | | 46 | 7 | | 47 | 2 | | 48 | 2 | | 49 | 23 |
| |
| 65.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.4339622641509434 | | totalSentences | 212 | | uniqueOpeners | 92 | |
| 72.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 138 | | matches | | 0 | "Really studied her." | | 1 | "Of course he knew." | | 2 | "Just a fraction." |
| | ratio | 0.022 | |
| 83.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 138 | | matches | | 0 | "Her bright blue eyes locked" | | 1 | "He set his whisky down" | | 2 | "His voice carried that same" | | 3 | "She slid onto the stool" | | 4 | "His mouth twitched, not quite" | | 5 | "Her stomach tightened." | | 6 | "She signalled the bartender, a" | | 7 | "She accepted the glass, fingers" | | 8 | "He corrected her softly" | | 9 | "She took a sip, the" | | 10 | "He turned the signet ring" | | 11 | "They both stiffened." | | 12 | "she said finally" | | 13 | "Her voice dropped" | | 14 | "His shoulders tightened under the" | | 15 | "She let the word curdle" | | 16 | "Her fingers traced the scar" | | 17 | "His hazel eyes narrowed." | | 18 | "She wondered what his network" | | 19 | "She met his gaze directly" |
| | ratio | 0.341 | |
| 46.96% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 114 | | totalSentences | 138 | | matches | | 0 | "The glass slipped from her" | | 1 | "Aurora Carter caught it before" | | 2 | "Her bright blue eyes locked" | | 3 | "Greyer in the auburn that" | | 4 | "He set his whisky down" | | 5 | "The Raven's Nest hummed around" | | 6 | "His voice carried that same" | | 7 | "She slid onto the stool" | | 8 | "The small crescent-shaped scar on" | | 9 | "Silas studied her." | | 10 | "The straight black hair that" | | 11 | "The way she held herself," | | 12 | "His mouth twitched, not quite" | | 13 | "Her stomach tightened." | | 14 | "Silas knew everything that happened" | | 15 | "The flat above his bar" | | 16 | "She signalled the bartender, a" | | 17 | "Silas watched the pour." | | 18 | "She accepted the glass, fingers" | | 19 | "He corrected her softly" |
| | ratio | 0.826 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 138 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 1 | | matches | | 0 | "The way his right hand never strayed far from that signet ring, as if it anchored him to something." |
| |
| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 38 | | uselessAdditionCount | 4 | | matches | | 0 | "His mouth twitched, not quite a smile" | | 1 | "She accepted, fingers brushing the condensation" | | 2 | "He gestured, the space charged with seven years of silence" | | 3 | "Her voice stayed, intelligent" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "He corrected (correct)" | | 2 | "he admitted (admit)" | | 3 | "she muttered (mutter)" |
| | dialogueSentences | 85 | | tagDensity | 0.082 | | leniency | 0.165 | | rawRatio | 0.571 | | effectiveRatio | 0.094 | |