| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 58 | | tagDensity | 0.362 | | leniency | 0.724 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1198 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "slowly" |
| |
| 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) | |
| 66.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1198 | | totalAiIsms | 8 | | found | | 0 | | | 1 | | word | "down her spine" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | |
| | highlights | | 0 | "flickered" | | 1 | "down her spine" | | 2 | "silence" | | 3 | "weight" | | 4 | "charged" | | 5 | "pulse" | | 6 | "whisper" |
| |
| 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 | 135 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 135 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 172 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 17 | | markdownWords | 43 | | totalWords | 1183 | | ratio | 0.036 | | matches | | 0 | "Rory" | | 1 | "Rory" | | 2 | "here" | | 3 | "I can’t protect you and honour both" | | 4 | "You chose one" | | 5 | "demonic" | | 6 | "warned" | | 7 | "You were under my protection" | | 8 | "Now you’re not" | | 9 | "ask" | | 10 | "my" | | 11 | "Brendan Carter. Barrister. From Limerick. Grandfather a village healer, so the stories went." | | 12 | "leverage" | | 13 | "his" | | 14 | "thud" | | 15 | "Rory…" | | 16 | "Rattled" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 738 | | uniqueNames | 11 | | maxNameDensity | 0.95 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Ptolemy | 2 | | French-accented | 1 | | Golden | 1 | | Empress | 1 | | Rain | 2 | | Pulled | 1 | | Welsh | 1 | | Carter | 1 | | Limerick | 1 | | Lucien | 7 | | Evan | 1 |
| | persons | | 0 | "Ptolemy" | | 1 | "Rain" | | 2 | "Carter" | | 3 | "Lucien" | | 4 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | 0 | "quite human enough to turn it" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1183 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 172 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 14.43 | | std | 13.86 | | cv | 0.961 | | sampleLengths | | 0 | 6 | | 1 | 33 | | 2 | 38 | | 3 | 3 | | 4 | 73 | | 5 | 7 | | 6 | 29 | | 7 | 31 | | 8 | 48 | | 9 | 12 | | 10 | 29 | | 11 | 24 | | 12 | 7 | | 13 | 10 | | 14 | 27 | | 15 | 10 | | 16 | 32 | | 17 | 3 | | 18 | 3 | | 19 | 6 | | 20 | 37 | | 21 | 7 | | 22 | 13 | | 23 | 9 | | 24 | 51 | | 25 | 12 | | 26 | 20 | | 27 | 3 | | 28 | 3 | | 29 | 15 | | 30 | 37 | | 31 | 4 | | 32 | 5 | | 33 | 5 | | 34 | 6 | | 35 | 7 | | 36 | 9 | | 37 | 6 | | 38 | 45 | | 39 | 7 | | 40 | 27 | | 41 | 7 | | 42 | 3 | | 43 | 10 | | 44 | 7 | | 45 | 13 | | 46 | 24 | | 47 | 10 | | 48 | 4 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 133 | | matches | (empty) | |
| 59.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 172 | | ratio | 0.029 | | matches | | 0 | "The deadbolts clicked back one by one—three turns, three sharp metallic bites in the quiet." | | 1 | "Not even the last time—when he’d walked away with her blood on his cuff and a lie in his teeth." | | 2 | "She looked at him—really looked." | | 3 | "Next to a book on Welsh folklore with her bookmark still in it—page 117." | | 4 | "Then—a sound." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 749 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.036048064085447265 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0053404539385847796 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 172 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 172 | | mean | 6.88 | | std | 6.58 | | cv | 0.957 | | sampleLengths | | 0 | 6 | | 1 | 6 | | 2 | 3 | | 3 | 24 | | 4 | 14 | | 5 | 15 | | 6 | 6 | | 7 | 3 | | 8 | 3 | | 9 | 23 | | 10 | 20 | | 11 | 4 | | 12 | 1 | | 13 | 25 | | 14 | 3 | | 15 | 2 | | 16 | 2 | | 17 | 4 | | 18 | 4 | | 19 | 17 | | 20 | 4 | | 21 | 6 | | 22 | 20 | | 23 | 5 | | 24 | 9 | | 25 | 7 | | 26 | 20 | | 27 | 9 | | 28 | 3 | | 29 | 6 | | 30 | 3 | | 31 | 3 | | 32 | 2 | | 33 | 1 | | 34 | 1 | | 35 | 25 | | 36 | 24 | | 37 | 3 | | 38 | 4 | | 39 | 10 | | 40 | 5 | | 41 | 14 | | 42 | 8 | | 43 | 3 | | 44 | 7 | | 45 | 10 | | 46 | 22 | | 47 | 3 | | 48 | 3 | | 49 | 3 |
| |
| 55.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.37209302325581395 | | totalSentences | 172 | | uniqueOpeners | 64 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 88 | | matches | | 0 | "Then back up." | | 1 | "Then crossed the threshold." | | 2 | "Then, slowly, he placed the" | | 3 | "Then a whisper, sliding under" |
| | ratio | 0.045 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 88 | | matches | | 0 | "She crossed the flat in" | | 1 | "She didn’t look through the" | | 2 | "She already knew." | | 3 | "His face was calm." | | 4 | "She didn’t step back." | | 5 | "Her fingers curled around the" | | 6 | "His voice was smooth, French-accented," | | 7 | "Her voice didn’t shake" | | 8 | "It never did when he" | | 9 | "*I can’t protect you and" | | 10 | "*You chose one*." | | 11 | "His gaze dropped to her" | | 12 | "Her breath stilled." | | 13 | "Her lips parted." | | 14 | "*You were under my protection*," | | 15 | "His jaw tightened." | | 16 | "She looked at him—really looked." | | 17 | "His breath caught." | | 18 | "She stepped back." | | 19 | "She shut the door." |
| | ratio | 0.375 | |
| 96.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 88 | | matches | | 0 | "The chain rattled like a" | | 1 | "Aurora didn’t answer the first" | | 2 | "She crossed the flat in" | | 3 | "The deadbolts clicked back one" | | 4 | "She didn’t look through the" | | 5 | "She already knew." | | 6 | "The door opened." | | 7 | "Lucien stood in the dim" | | 8 | "His face was calm." | | 9 | "She didn’t step back." | | 10 | "Her fingers curled around the" | | 11 | "His voice was smooth, French-accented," | | 12 | "Her voice didn’t shake" | | 13 | "It never did when he" | | 14 | "*I can’t protect you and" | | 15 | "*You chose one*." | | 16 | "His gaze dropped to her" | | 17 | "Her breath stilled." | | 18 | "A shrill, ordinary sound in" | | 19 | "Ptolemy hissed again, then darted" |
| | ratio | 0.727 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 88 | | matches | | 0 | "*Now you’re not*." | | 1 | "As if something on the" |
| | ratio | 0.023 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "His voice was smooth, French-accented, the kind that made students lean closer in lecture halls and criminals hand over secrets." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 1 | | fancyTags | | 0 | "he corrected (correct)" |
| | dialogueSentences | 58 | | tagDensity | 0.259 | | leniency | 0.517 | | rawRatio | 0.067 | | effectiveRatio | 0.034 | |