| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.185 | | leniency | 0.37 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 73.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 768 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "carefully" | | 1 | "lazily" | | 2 | "barely above a whisper" |
| |
| 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) | |
| 2.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 768 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | word | "down her spine" | | count | 1 |
| | 8 | | | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "echoed" | | 1 | "measured" | | 2 | "intensity" | | 3 | "unreadable" | | 4 | "eyebrow" | | 5 | "tracing" | | 6 | "pounding" | | 7 | "down her spine" | | 8 | "whisper" | | 9 | "tension" | | 10 | "sense of" | | 11 | "familiar" | | 12 | "dance" |
| |
| 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 | 1 | | narrationSentences | 58 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 764 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.07% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 584 | | uniqueNames | 6 | | maxNameDensity | 1.2 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 7 | | Silas | 3 | | Moreau | 1 | | Ptolemy | 1 | | Eva | 2 | | Lucien | 6 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Moreau" | | 3 | "Eva" | | 4 | "Lucien" |
| | places | (empty) | | globalScore | 0.901 | | windowScore | 1 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like the first time" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 764 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 25.47 | | std | 17.36 | | cv | 0.682 | | sampleLengths | | 0 | 75 | | 1 | 66 | | 2 | 13 | | 3 | 11 | | 4 | 41 | | 5 | 17 | | 6 | 9 | | 7 | 26 | | 8 | 8 | | 9 | 18 | | 10 | 10 | | 11 | 16 | | 12 | 31 | | 13 | 34 | | 14 | 10 | | 15 | 17 | | 16 | 22 | | 17 | 1 | | 18 | 23 | | 19 | 19 | | 20 | 19 | | 21 | 15 | | 22 | 19 | | 23 | 47 | | 24 | 52 | | 25 | 44 | | 26 | 34 | | 27 | 12 | | 28 | 16 | | 29 | 39 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 109 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 79 | | ratio | 0 | | matches | (empty) | |
| 99.29% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 588 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.04081632653061224 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.011904761904761904 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 9.67 | | std | 5.85 | | cv | 0.605 | | sampleLengths | | 0 | 15 | | 1 | 4 | | 2 | 8 | | 3 | 4 | | 4 | 13 | | 5 | 20 | | 6 | 2 | | 7 | 9 | | 8 | 11 | | 9 | 36 | | 10 | 19 | | 11 | 7 | | 12 | 6 | | 13 | 6 | | 14 | 5 | | 15 | 6 | | 16 | 25 | | 17 | 10 | | 18 | 12 | | 19 | 5 | | 20 | 4 | | 21 | 5 | | 22 | 17 | | 23 | 9 | | 24 | 5 | | 25 | 3 | | 26 | 13 | | 27 | 5 | | 28 | 6 | | 29 | 4 | | 30 | 8 | | 31 | 8 | | 32 | 14 | | 33 | 17 | | 34 | 8 | | 35 | 13 | | 36 | 13 | | 37 | 4 | | 38 | 6 | | 39 | 13 | | 40 | 4 | | 41 | 12 | | 42 | 10 | | 43 | 1 | | 44 | 14 | | 45 | 9 | | 46 | 19 | | 47 | 9 | | 48 | 10 | | 49 | 12 |
| |
| 67.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.43037974683544306 | | totalSentences | 79 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 55 | | matches | | 0 | "Always felt like the first" | | 1 | "Only time would tell." |
| | ratio | 0.036 | |
| 1.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 55 | | matches | | 0 | "She wasn't expecting anyone." | | 1 | "She padded to the door," | | 2 | "Her heart did a little" | | 3 | "She unlatched the three deadbolts," | | 4 | "His slicked-back platinum hair glinted" | | 5 | "she acknowledged, leaning against the" | | 6 | "He didn't smile, didn't even" | | 7 | "She stepped aside, letting him" | | 8 | "His gaze swept the room," | | 9 | "she said, closing the door" | | 10 | "He turned to face her," | | 11 | "She watched him, arms crossed." | | 12 | "He stopped by the bookshelf," | | 13 | "She felt her heart pound" | | 14 | "He sighed, running a hand" | | 15 | "She walked over to the" | | 16 | "she asked, needing something to" | | 17 | "He was silent for a" | | 18 | "She stared at him, her" | | 19 | "He reached out, tucking a" |
| | ratio | 0.545 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 55 | | matches | | 0 | "The knock echoed through the" | | 1 | "She wasn't expecting anyone." | | 2 | "Eva was out of town," | | 3 | "She padded to the door," | | 4 | "Her heart did a little" | | 5 | "She unlatched the three deadbolts," | | 6 | "His slicked-back platinum hair glinted" | | 7 | "she acknowledged, leaning against the" | | 8 | "He didn't smile, didn't even" | | 9 | "She stepped aside, letting him" | | 10 | "His gaze swept the room," | | 11 | "she said, closing the door" | | 12 | "He turned to face her," | | 13 | "Rory raised an eyebrow." | | 14 | "Lucien walked further into the" | | 15 | "She watched him, arms crossed." | | 16 | "He stopped by the bookshelf," | | 17 | "Rory let out a sharp" | | 18 | "Lucien turned to face her," | | 19 | "She felt her heart pound" |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "The knock echoed through the flat, a staccato rhythm that jarred Rory from her thoughts." | | 1 | "When she opened the door, she found him exactly as he'd been through the peephole, except now she could see the heterochromatic eyes, one amber, one black, stud…" | | 2 | "Lucien smiled, a small, sad smile that tugged at something deep inside her." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "He turned, his voice a low rumble" | | 1 | "he said, his voice barely above a whisper," |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "she acknowledged (acknowledge)" |
| | dialogueSentences | 27 | | tagDensity | 0.148 | | leniency | 0.296 | | rawRatio | 0.25 | | effectiveRatio | 0.074 | |