| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Evan gestured vaguely [vaguely]" |
| | dialogueSentences | 50 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.05 | | effectiveRatio | 0.04 | |
| 85.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1427 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "nervously" | | 1 | "really" | | 2 | "sharply" | | 3 | "slightly" |
| |
| 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) | |
| 57.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1427 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "navigated" | | 1 | "scanning" | | 2 | "methodical" | | 3 | "weight" | | 4 | "tension" | | 5 | "silence" | | 6 | "churning" | | 7 | "echoing" | | 8 | "familiar" | | 9 | "firmly" |
| |
| 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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1417 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 963 | | uniqueNames | 12 | | maxNameDensity | 0.93 | | worstName | "Evan" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Golden | 1 | | Empress | 1 | | Silas | 7 | | Rory | 8 | | Adam | 1 | | Evan | 9 | | Ellis | 1 | | Silence | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Empress" | | 3 | "Silas" | | 4 | "Rory" | | 5 | "Adam" | | 6 | "Evan" | | 7 | "Ellis" | | 8 | "Silence" |
| | places | | | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a stone dropped into a deep w" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1417 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 31.49 | | std | 22.71 | | cv | 0.721 | | sampleLengths | | 0 | 88 | | 1 | 83 | | 2 | 66 | | 3 | 14 | | 4 | 34 | | 5 | 40 | | 6 | 24 | | 7 | 10 | | 8 | 34 | | 9 | 6 | | 10 | 28 | | 11 | 31 | | 12 | 15 | | 13 | 10 | | 14 | 4 | | 15 | 51 | | 16 | 10 | | 17 | 16 | | 18 | 27 | | 19 | 32 | | 20 | 20 | | 21 | 34 | | 22 | 21 | | 23 | 53 | | 24 | 20 | | 25 | 40 | | 26 | 3 | | 27 | 27 | | 28 | 9 | | 29 | 40 | | 30 | 47 | | 31 | 48 | | 32 | 2 | | 33 | 53 | | 34 | 74 | | 35 | 30 | | 36 | 16 | | 37 | 14 | | 38 | 3 | | 39 | 49 | | 40 | 2 | | 41 | 64 | | 42 | 32 | | 43 | 15 | | 44 | 78 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 159 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 101 | | ratio | 0.01 | | matches | | 0 | "But the eyes remained the same—dark, intelligent, now clouded with a fatigue that went deeper than lack of sleep." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 972 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 23 | | adverbRatio | 0.023662551440329218 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.01131687242798354 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 14.03 | | std | 8.22 | | cv | 0.586 | | sampleLengths | | 0 | 23 | | 1 | 15 | | 2 | 25 | | 3 | 25 | | 4 | 16 | | 5 | 29 | | 6 | 22 | | 7 | 16 | | 8 | 17 | | 9 | 12 | | 10 | 9 | | 11 | 9 | | 12 | 19 | | 13 | 3 | | 14 | 11 | | 15 | 9 | | 16 | 12 | | 17 | 13 | | 18 | 17 | | 19 | 18 | | 20 | 5 | | 21 | 11 | | 22 | 13 | | 23 | 10 | | 24 | 14 | | 25 | 12 | | 26 | 8 | | 27 | 6 | | 28 | 18 | | 29 | 10 | | 30 | 10 | | 31 | 12 | | 32 | 9 | | 33 | 13 | | 34 | 2 | | 35 | 7 | | 36 | 3 | | 37 | 4 | | 38 | 8 | | 39 | 13 | | 40 | 30 | | 41 | 10 | | 42 | 16 | | 43 | 8 | | 44 | 19 | | 45 | 27 | | 46 | 5 | | 47 | 20 | | 48 | 23 | | 49 | 11 |
| |
| 51.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.38613861386138615 | | totalSentences | 101 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 14.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 68 | | matches | | 0 | "She navigated the sparse crowd," | | 1 | "Her shifts at the Golden" | | 2 | "She spotted Silas behind the" | | 3 | "His limp disappeared behind the" | | 4 | "He flinched, the glass halting" | | 5 | "He turned fully on the" | | 6 | "She kept her voice flat," | | 7 | "She gripped the edge of" | | 8 | "He looked up, attempting a" | | 9 | "It stretched the skin too" | | 10 | "He took a long pull" | | 11 | "He placed a fresh napkin" | | 12 | "He slid it toward her," | | 13 | "He lingered for a heartbeat," | | 14 | "She corrected herself, the slip" | | 15 | "She held up her left" | | 16 | "She took a sip of" | | 17 | "He stared into the bottom" | | 18 | "He looked at her, his" | | 19 | "He trailed off, unable to" |
| | ratio | 0.515 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 68 | | matches | | 0 | "The green neon sign above" | | 1 | "Rain slicked the cobblestones, reflecting" | | 2 | "Rory pushed through the heavy" | | 3 | "The air inside smelled of" | | 4 | "She navigated the sparse crowd," | | 5 | "Her shifts at the Golden" | | 6 | "She spotted Silas behind the" | | 7 | "His limp disappeared behind the" | | 8 | "A figure sat at the" | | 9 | "The man turned as Rory" | | 10 | "The sharp jawline she remembered" | | 11 | "The confident set of the" | | 12 | "The name felt like a" | | 13 | "He flinched, the glass halting" | | 14 | "He turned fully on the" | | 15 | "She kept her voice flat," | | 16 | "She gripped the edge of" | | 17 | "Evan looked down at his" | | 18 | "He looked up, attempting a" | | 19 | "It stretched the skin too" |
| | ratio | 0.926 | |
| 73.53% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 68 | | matches | | 0 | "If she saw the pleading" |
| | ratio | 0.015 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "The air inside smelled of stale beer, lemon polish, and the distinct, earthy scent of old paper that clung to the maps lining the walls." | | 1 | "But the eyes remained the same—dark, intelligent, now clouded with a fatigue that went deeper than lack of sleep." | | 2 | "Jennifer Ellis, her own mother's oldest friend, the woman who had bandaged Rory's wrist and whispered secrets about Evan's temper that Rory had refused to hear." | | 3 | "But it stripped him of the monster she had built in her mind, leaving just a broken, pathetic human being." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 7 | | matches | | 0 | "She kept, refusing to let the tremor in her hands show" | | 1 | "He took, the Adam's apple bobbing in his throat" | | 2 | "He looked, his eyes glassy" | | 3 | "The words came out, desperate" | | 4 | "He trailed, unable to finish the comparison" | | 5 | "He reached out, his fingers grazing the sleeve of her jacket" | | 6 | "she called out, her voice echoing slightly in the quiet bar" |
| |
| 90.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "Evan laughed (laugh)" | | 1 | "She corrected (correct)" | | 2 | "she called out (call out)" |
| | dialogueSentences | 50 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.6 | | effectiveRatio | 0.12 | |