| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said softly [softly]" | | 1 | "he said simply [simply]" | | 2 | "Silas said quietly [quietly]" | | 3 | "he said softly [softly]" |
| | dialogueSentences | 35 | | tagDensity | 0.343 | | leniency | 0.686 | | rawRatio | 0.333 | | effectiveRatio | 0.229 | |
| 88.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 884 | | totalAiIsmAdverbs | 2 | | 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) | |
| 43.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 884 | | totalAiIsms | 10 | | found | | 0 | | | 1 | | | 2 | | word | "practiced ease" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "familiar" | | 1 | "measured" | | 2 | "practiced ease" | | 3 | "unspoken" | | 4 | "weight" | | 5 | "shattered" | | 6 | "warmth" | | 7 | "pulse" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 49 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 49 | | 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 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 882 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 25.52% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 482 | | uniqueNames | 5 | | maxNameDensity | 2.49 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Friday | 1 | | Silas | 12 | | Rory | 9 |
| | persons | | | places | (empty) | | globalScore | 0.255 | | windowScore | 0.5 | |
| 89.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 1 | | matches | | 0 | "as if savoring the taste" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 882 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 72.14% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 27.56 | | std | 11.09 | | cv | 0.402 | | sampleLengths | | 0 | 41 | | 1 | 9 | | 2 | 49 | | 3 | 23 | | 4 | 22 | | 5 | 22 | | 6 | 14 | | 7 | 23 | | 8 | 26 | | 9 | 14 | | 10 | 25 | | 11 | 48 | | 12 | 12 | | 13 | 29 | | 14 | 10 | | 15 | 41 | | 16 | 20 | | 17 | 21 | | 18 | 18 | | 19 | 25 | | 20 | 48 | | 21 | 30 | | 22 | 31 | | 23 | 35 | | 24 | 30 | | 25 | 31 | | 26 | 33 | | 27 | 44 | | 28 | 18 | | 29 | 39 | | 30 | 19 | | 31 | 32 |
| |
| 98.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 49 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 86 | | 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) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 484 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.030991735537190084 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.01652892561983471 | |
| 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 | 12.25 | | std | 7.01 | | cv | 0.572 | | sampleLengths | | 0 | 10 | | 1 | 10 | | 2 | 11 | | 3 | 10 | | 4 | 9 | | 5 | 7 | | 6 | 25 | | 7 | 8 | | 8 | 9 | | 9 | 13 | | 10 | 10 | | 11 | 19 | | 12 | 3 | | 13 | 15 | | 14 | 7 | | 15 | 6 | | 16 | 8 | | 17 | 11 | | 18 | 12 | | 19 | 12 | | 20 | 14 | | 21 | 7 | | 22 | 7 | | 23 | 13 | | 24 | 12 | | 25 | 11 | | 26 | 8 | | 27 | 20 | | 28 | 9 | | 29 | 10 | | 30 | 2 | | 31 | 6 | | 32 | 5 | | 33 | 9 | | 34 | 9 | | 35 | 5 | | 36 | 5 | | 37 | 10 | | 38 | 31 | | 39 | 8 | | 40 | 12 | | 41 | 9 | | 42 | 12 | | 43 | 9 | | 44 | 9 | | 45 | 11 | | 46 | 14 | | 47 | 12 | | 48 | 11 | | 49 | 25 |
| |
| 50.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3472222222222222 | | totalSentences | 72 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 78.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 48 | | matches | | 0 | "His grey-streaked auburn hair caught" | | 1 | "He set down the glass" | | 2 | "he said, the name feeling" | | 3 | "She gave a small, sad" | | 4 | "he replied, pouring the dark" | | 5 | "She took a sip, her" | | 6 | "He leaned against the bar," | | 7 | "she said softly" | | 8 | "he said simply" | | 9 | "She laughed, a bitter sound" | | 10 | "He'd spent years running from" | | 11 | "he replied without hesitation" | | 12 | "He'd known this moment would" | | 13 | "he said, his voice rough" | | 14 | "he said softly" | | 15 | "She looked up then, her" | | 16 | "He covered her hand with" |
| | ratio | 0.354 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 48 | | matches | | 0 | "The Raven's Nest was unusually" | | 1 | "Silas stood behind the bar," | | 2 | "His grey-streaked auburn hair caught" | | 3 | "The familiar creak of the" | | 4 | "a voice called out" | | 5 | "Silas looked up, his hand" | | 6 | "The woman at the bar" | | 7 | "The straight black hair falling" | | 8 | "The way she drummed her" | | 9 | "He set down the glass" | | 10 | "The woman turned, and Silas" | | 11 | "he said, the name feeling" | | 12 | "She gave a small, sad" | | 13 | "he replied, pouring the dark" | | 14 | "Rory shrugged, her gaze fixed" | | 15 | "Silas slid the glass across" | | 16 | "She took a sip, her" | | 17 | "Silas said with a wry" | | 18 | "He leaned against the bar," | | 19 | "The years had been kind" |
| | ratio | 0.938 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 2 | | matches | | 0 | "The woman at the bar had her back to him, but there was something about the way she carried herself that made his heart skip." | | 1 | "She took a sip, her eyes closing briefly as if savoring the taste." |
| |
| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory said, her voice low and intense" | | 1 | "he said, his voice rough with emotion" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | 0 | "she breathed (breathe)" |
| | dialogueSentences | 35 | | tagDensity | 0.314 | | leniency | 0.629 | | rawRatio | 0.091 | | effectiveRatio | 0.057 | |