| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "Rory repeated softly [softly]" | | 1 | "Silas said smoothly [smoothly]" |
| | dialogueSentences | 39 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0.095 | | effectiveRatio | 0.095 | |
| 76.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1046 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "deliberately" | | 1 | "suddenly" | | 2 | "completely" | | 3 | "quickly" | | 4 | "softly" |
| |
| 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) | |
| 52.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1046 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "crystal" | | 1 | "amidst" | | 2 | "grave" | | 3 | "rhythmic" | | 4 | "weight" | | 5 | "pulse" | | 6 | "whisper" | | 7 | "shattered" | | 8 | "gloom" |
| |
| 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 | 54 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | 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 | 1046 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 620 | | uniqueNames | 11 | | maxNameDensity | 2.26 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Welsh | 2 | | Cardiff | 1 | | London | 1 | | Eva | 13 | | Silas | 6 | | Blackwood | 1 | | Rory | 14 | | Italian | 1 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Rory" | | 5 | "Raven" | | 6 | "Nest" |
| | places | | | globalScore | 0.371 | | windowScore | 0.167 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like gravel grinding against iron" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1046 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 29.89 | | std | 18.1 | | cv | 0.606 | | sampleLengths | | 0 | 17 | | 1 | 15 | | 2 | 1 | | 3 | 60 | | 4 | 14 | | 5 | 37 | | 6 | 44 | | 7 | 21 | | 8 | 51 | | 9 | 64 | | 10 | 30 | | 11 | 58 | | 12 | 19 | | 13 | 64 | | 14 | 35 | | 15 | 34 | | 16 | 33 | | 17 | 5 | | 18 | 69 | | 19 | 36 | | 20 | 16 | | 21 | 6 | | 22 | 21 | | 23 | 32 | | 24 | 24 | | 25 | 8 | | 26 | 40 | | 27 | 10 | | 28 | 37 | | 29 | 19 | | 30 | 38 | | 31 | 9 | | 32 | 32 | | 33 | 34 | | 34 | 13 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 100 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 72 | | ratio | 0 | | matches | (empty) | |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 630 | | adjectiveStacks | 3 | | stackExamples | | 0 | "dim, mahogany-panelled walls" | | 1 | "pale, crescent-shaped scar" | | 2 | "massive, broad-shouldered man" |
| | adverbCount | 17 | | adverbRatio | 0.026984126984126985 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01904761904761905 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 14.53 | | std | 8.68 | | cv | 0.598 | | sampleLengths | | 0 | 17 | | 1 | 8 | | 2 | 7 | | 3 | 1 | | 4 | 16 | | 5 | 8 | | 6 | 7 | | 7 | 29 | | 8 | 14 | | 9 | 9 | | 10 | 28 | | 11 | 4 | | 12 | 16 | | 13 | 24 | | 14 | 21 | | 15 | 19 | | 16 | 32 | | 17 | 18 | | 18 | 25 | | 19 | 21 | | 20 | 8 | | 21 | 22 | | 22 | 5 | | 23 | 24 | | 24 | 29 | | 25 | 9 | | 26 | 10 | | 27 | 16 | | 28 | 12 | | 29 | 36 | | 30 | 18 | | 31 | 17 | | 32 | 10 | | 33 | 24 | | 34 | 17 | | 35 | 16 | | 36 | 5 | | 37 | 6 | | 38 | 16 | | 39 | 47 | | 40 | 9 | | 41 | 11 | | 42 | 16 | | 43 | 8 | | 44 | 8 | | 45 | 6 | | 46 | 12 | | 47 | 9 | | 48 | 7 | | 49 | 8 |
| |
| 74.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4722222222222222 | | totalSentences | 72 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 45 | | matches | | 0 | "She knew that precise, clipped" | | 1 | "It belonged to rain-slicked Cardiff" | | 2 | "Her tailored camel wool coat" | | 3 | "She gripped the edge of" | | 4 | "His hazel eyes locked onto" | | 5 | "He did not say a" | | 6 | "She kept her tone flat," | | 7 | "Her gaze trailed down Rory's" | | 8 | "She reached across the zinc," | | 9 | "His auburn hair, heavily streaked" | | 10 | "He placed two large hands" | | 11 | "His voice sounded like gravel" | | 12 | "His silver ring clicked against" |
| | ratio | 0.289 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 45 | | matches | | 0 | "Rory slammed the heavy crystal" | | 1 | "The manicured hand resting on" | | 2 | "The voice sliced through the" | | 3 | "Aurora Carter did not lift" | | 4 | "She knew that precise, clipped" | | 5 | "It belonged to rain-slicked Cardiff" | | 6 | "Rory said, pushing the vodka" | | 7 | "Eva stood frozen beside a" | | 8 | "Her tailored camel wool coat" | | 9 | "She gripped the edge of" | | 10 | "Rory snatched a damp grey" | | 11 | "Eva said, her pitch dropping" | | 12 | "His hazel eyes locked onto" | | 13 | "He did not say a" | | 14 | "She kept her tone flat," | | 15 | "Her gaze trailed down Rory's" | | 16 | "Eva slammed a small dark" | | 17 | "The sudden sharp bang made" | | 18 | "Rory leaned over the counter," | | 19 | "Eva recoiled, her lips tightening" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 45 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "Her gaze trailed down Rory's faded black denim jacket, stopping at the rolled sleeve that exposed the pale, crescent-shaped scar on her left wrist." |
| |
| 77.38% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva said, her voice rising with furious indignation" | | 1 | "Eva said, her voice dropping into an urgent, trembling whisper" |
| |
| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 2 | | fancyTags | | 0 | "Rory repeated softly (repeat)" | | 1 | "Evan barked (bark)" |
| | dialogueSentences | 39 | | tagDensity | 0.436 | | leniency | 0.872 | | rawRatio | 0.118 | | effectiveRatio | 0.103 | |