| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory pondered aloud [aloud]" |
| | dialogueSentences | 36 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.067 | | effectiveRatio | 0.056 | |
| 90.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1011 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "quickly" |
| |
| 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) | |
| 15.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1011 | | totalAiIsms | 17 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "skipped a beat" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | |
| | highlights | | 0 | "familiar" | | 1 | "pulse" | | 2 | "racing" | | 3 | "scanning" | | 4 | "skipped a beat" | | 5 | "glint" | | 6 | "navigate" | | 7 | "whisper" | | 8 | "resolve" | | 9 | "charged" | | 10 | "silence" | | 11 | "delved" | | 12 | "unspoken" | | 13 | "pang" | | 14 | "implication" | | 15 | "looming" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "eyes widened" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 76 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1013 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 38.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 715 | | uniqueNames | 5 | | maxNameDensity | 2.24 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 15 | | Rory | 16 | | Bloody | 1 | | London | 1 | | Evan | 3 |
| | persons | | | places | | | globalScore | 0.381 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1013 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 76 | | matches | | |
| 69.97% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 28.94 | | std | 11.43 | | cv | 0.395 | | sampleLengths | | 0 | 22 | | 1 | 24 | | 2 | 39 | | 3 | 42 | | 4 | 35 | | 5 | 19 | | 6 | 36 | | 7 | 29 | | 8 | 32 | | 9 | 38 | | 10 | 15 | | 11 | 17 | | 12 | 26 | | 13 | 34 | | 14 | 24 | | 15 | 47 | | 16 | 24 | | 17 | 43 | | 18 | 31 | | 19 | 21 | | 20 | 28 | | 21 | 40 | | 22 | 25 | | 23 | 5 | | 24 | 31 | | 25 | 22 | | 26 | 32 | | 27 | 57 | | 28 | 27 | | 29 | 15 | | 30 | 9 | | 31 | 27 | | 32 | 17 | | 33 | 26 | | 34 | 54 |
| |
| 99.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 57 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 137 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 76 | | ratio | 0.079 | | matches | | 0 | "\"Miss me, ma chérie?\" he purred, his lips curling into that familiar smirk that had once sent her pulse racing — and still did." | | 1 | "\"You lost the right to call yourself my friend when you walked out.\" Rory crossed her arms, the small crescent-shaped scar on her wrist — a remnant of more innocent times — catching the light." | | 2 | "Maybe it was sheer curiosity — or the masochistic part of her — but she wanted to hear what he had to say." | | 3 | "It was like being near a live wire — dangerous, exhilarating." | | 4 | "\"Aurora, he’s looking for power. The kind of power that makes men, and demons alike, do foolish things.\" Lucien gestured—a fluid motion that drew her eye to the blade concealed in his cane." | | 5 | "The implication was clear—they were no longer a team, only forcefully reunited by the shadows of their pasts." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 713 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 24 | | adverbRatio | 0.033660589060308554 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011220196353436185 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 76 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 76 | | mean | 13.33 | | std | 7.21 | | cv | 0.541 | | sampleLengths | | 0 | 22 | | 1 | 24 | | 2 | 11 | | 3 | 11 | | 4 | 4 | | 5 | 13 | | 6 | 22 | | 7 | 20 | | 8 | 35 | | 9 | 8 | | 10 | 11 | | 11 | 13 | | 12 | 23 | | 13 | 22 | | 14 | 7 | | 15 | 21 | | 16 | 11 | | 17 | 13 | | 18 | 7 | | 19 | 14 | | 20 | 4 | | 21 | 3 | | 22 | 12 | | 23 | 13 | | 24 | 4 | | 25 | 5 | | 26 | 16 | | 27 | 5 | | 28 | 12 | | 29 | 22 | | 30 | 4 | | 31 | 17 | | 32 | 3 | | 33 | 33 | | 34 | 14 | | 35 | 7 | | 36 | 8 | | 37 | 9 | | 38 | 25 | | 39 | 18 | | 40 | 14 | | 41 | 17 | | 42 | 21 | | 43 | 10 | | 44 | 11 | | 45 | 7 | | 46 | 23 | | 47 | 17 | | 48 | 17 | | 49 | 8 |
| |
| 92.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5657894736842105 | | totalSentences | 76 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 57 | | matches | | 0 | "Maybe it was sheer curiosity" | | 1 | "Finally, Lucien straightened, adding a" |
| | ratio | 0.035 | |
| 65.61% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 57 | | matches | | 0 | "he purred, his lips curling" | | 1 | "Her voice cracked a little" | | 2 | "She had sworn to herself" | | 3 | "He leaned casually on his" | | 4 | "His amber eye flared with" | | 5 | "It was like being near" | | 6 | "His suit beneath was immaculate," | | 7 | "He fixed his gaze on" | | 8 | "He stepped closer, the air" | | 9 | "Her heart skipped a beat." | | 10 | "Her ex with his violent" | | 11 | "It was the name he" | | 12 | "She marched to her cluttered" | | 13 | "She flinched as his fingers" | | 14 | "She had refused to be" | | 15 | "she said, turning to face" | | 16 | "He delved into a detailed" | | 17 | "She quickly withdrew her hand" | | 18 | "She felt a pang in" | | 19 | "Her heart ached as she" |
| | ratio | 0.386 | |
| 12.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 57 | | matches | | 0 | "Aurora's eyes widened as she" | | 1 | "he purred, his lips curling" | | 2 | "Rory suppressed the urge to" | | 3 | "Her voice cracked a little" | | 4 | "She had sworn to herself" | | 5 | "Lucien's tone was oily smooth," | | 6 | "He leaned casually on his" | | 7 | "Rory crossed her arms, the" | | 8 | "His amber eye flared with" | | 9 | "Rory shot back, stepping aside" | | 10 | "Lucien stepped into the flat," | | 11 | "Rory’s words were harsh, but" | | 12 | "It was like being near" | | 13 | "Lucien shrugged off his tailored" | | 14 | "His suit beneath was immaculate," | | 15 | "He fixed his gaze on" | | 16 | "Rory almost laughed." | | 17 | "He stepped closer, the air" | | 18 | "Her heart skipped a beat." | | 19 | "Evan was a name she" |
| | ratio | 0.895 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 57 | | matches | | 0 | "Before stepping out, Lucien paused" |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "Hours ticked by, filled with plans, strategies, and revisited memories that made the air between them thick and laden with unspoken words." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "Lucien said, each word weighted with gravity" | | 1 | "Lucien said, moving to stand beside her" | | 2 | "Rory pondered aloud, but the answer horrified her as it dawned" | | 3 | "she said, turning to face him fully" |
| |
| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "Lucien admitted (admit)" | | 1 | "Lucien implored (implore)" | | 2 | "Rory summarised (summarise)" |
| | dialogueSentences | 36 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.5 | | effectiveRatio | 0.167 | |