| 73.42% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 5 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "She exhaled slowly [slowly]" | | 2 | "He leaned back [back]" | | 3 | "He gestured vaguely [vaguely]" | | 4 | "she said quietly [quietly]" |
| | dialogueSentences | 79 | | tagDensity | 0.304 | | leniency | 0.608 | | rawRatio | 0.208 | | effectiveRatio | 0.127 | |
| 82.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1715 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "quickly" |
| |
| 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) | |
| 79.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1715 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "traced" | | 1 | "calculating" | | 2 | "silence" | | 3 | "measured" | | 4 | "tension" | | 5 | "flickered" | | 6 | "unspoken" |
| |
| 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 | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 103 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 156 | | 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 | 1711 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 31 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1150 | | uniqueNames | 17 | | maxNameDensity | 1.13 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Eva | 3 | | Aurora | 10 | | Silas | 13 | | European | 1 | | Raven | 2 | | Nest | 2 | | Thursday | 1 | | October | 1 | | Thursdays | 1 | | Prague | 1 | | Like | 2 | | London | 3 | | Cardiff | 3 | | Belgrade | 1 | | Bucharest | 1 | | Hollow | 1 | | Three | 3 |
| | persons | | 0 | "Eva" | | 1 | "Aurora" | | 2 | "Silas" | | 3 | "Raven" | | 4 | "Nest" | | 5 | "Like" |
| | places | | 0 | "Thursdays" | | 1 | "Prague" | | 2 | "London" | | 3 | "Cardiff" | | 4 | "Belgrade" | | 5 | "Bucharest" |
| | globalScore | 0.935 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a lifetime ago now" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1711 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 156 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 81 | | mean | 21.12 | | std | 21.17 | | cv | 1.002 | | sampleLengths | | 0 | 8 | | 1 | 67 | | 2 | 54 | | 3 | 8 | | 4 | 63 | | 5 | 1 | | 6 | 41 | | 7 | 14 | | 8 | 30 | | 9 | 2 | | 10 | 14 | | 11 | 3 | | 12 | 21 | | 13 | 6 | | 14 | 43 | | 15 | 3 | | 16 | 6 | | 17 | 79 | | 18 | 42 | | 19 | 5 | | 20 | 2 | | 21 | 1 | | 22 | 14 | | 23 | 3 | | 24 | 48 | | 25 | 34 | | 26 | 6 | | 27 | 19 | | 28 | 1 | | 29 | 16 | | 30 | 5 | | 31 | 12 | | 32 | 68 | | 33 | 36 | | 34 | 1 | | 35 | 29 | | 36 | 3 | | 37 | 36 | | 38 | 22 | | 39 | 34 | | 40 | 3 | | 41 | 28 | | 42 | 2 | | 43 | 58 | | 44 | 9 | | 45 | 27 | | 46 | 8 | | 47 | 2 | | 48 | 45 | | 49 | 29 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 224 | | matches | | 0 | "were trembling" | | 1 | "was trying" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 156 | | ratio | 0 | | matches | (empty) | |
| 95.36% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 927 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.045307443365695796 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.017259978425026967 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 156 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 156 | | mean | 10.97 | | std | 9.3 | | cv | 0.848 | | sampleLengths | | 0 | 8 | | 1 | 19 | | 2 | 8 | | 3 | 12 | | 4 | 28 | | 5 | 14 | | 6 | 4 | | 7 | 9 | | 8 | 27 | | 9 | 4 | | 10 | 4 | | 11 | 4 | | 12 | 21 | | 13 | 5 | | 14 | 33 | | 15 | 1 | | 16 | 13 | | 17 | 11 | | 18 | 6 | | 19 | 11 | | 20 | 7 | | 21 | 7 | | 22 | 10 | | 23 | 3 | | 24 | 10 | | 25 | 7 | | 26 | 2 | | 27 | 9 | | 28 | 5 | | 29 | 3 | | 30 | 14 | | 31 | 7 | | 32 | 6 | | 33 | 15 | | 34 | 19 | | 35 | 9 | | 36 | 3 | | 37 | 6 | | 38 | 3 | | 39 | 14 | | 40 | 31 | | 41 | 31 | | 42 | 8 | | 43 | 34 | | 44 | 5 | | 45 | 2 | | 46 | 1 | | 47 | 11 | | 48 | 3 | | 49 | 3 |
| |
| 61.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.4230769230769231 | | totalSentences | 156 | | uniqueOpeners | 66 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 90 | | matches | | 0 | "Then she heard the limp." | | 1 | "Then he reached across the" | | 2 | "Only carried, together, into whatever" |
| | ratio | 0.033 | |
| 95.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 90 | | matches | | 0 | "She'd promised herself she wouldn't" | | 1 | "She didn't look up." | | 2 | "He stood in the doorway," | | 3 | "His hair had more grey" | | 4 | "He said it like a" | | 5 | "She was on her feet" | | 6 | "He didn't move from the" | | 7 | "He finally stepped inside, let" | | 8 | "He said it without smiling," | | 9 | "He gestured at the chair" | | 10 | "He sat down heavily, the" | | 11 | "he said finally" | | 12 | "She thought about the scar" | | 13 | "She exhaled slowly" | | 14 | "She laughed, but it came" | | 15 | "He said it flatly, not" | | 16 | "He leaned back, studying her" | | 17 | "He gestured vaguely at the" | | 18 | "she said quietly" | | 19 | "She thought about the delivery" |
| | ratio | 0.311 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 90 | | matches | | 0 | "The whiskey burned less than" | | 1 | "Aurora traced the rim of" | | 2 | "She'd promised herself she wouldn't" | | 3 | "The worn wooden stools." | | 4 | "The black-and-white photographs of places" | | 5 | "The hidden room behind the" | | 6 | "The door swung open." | | 7 | "She didn't look up." | | 8 | "Regulars knew to leave her" | | 9 | "That slight drag of the" | | 10 | "He stood in the doorway," | | 11 | "His hair had more grey" | | 12 | "That calculating hazel that always" | | 13 | "He said it like a" | | 14 | "She was on her feet" | | 15 | "The glass tipped." | | 16 | "Whiskey pooled on the table," | | 17 | "Neither of them moved to" | | 18 | "He didn't move from the" | | 19 | "He finally stepped inside, let" |
| | ratio | 0.778 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "The black-and-white photographs of places that didn't exist anymore." | | 1 | "The stiffness of a man who'd been holding himself together across six time zones and too many hotel rooms." | | 2 | "Three years of him being the steady presence at the other end of the bar, the mentor who turned into something closer to family without either of them quite adm…" | | 3 | "Aurora watched the shadows move across Silas's face, the way the years had carved themselves into the lines around his eyes, the grey in his beard that matched …" | | 4 | "They walked toward the back, toward the narrow stairs that led to her flat, toward the hallway with its burnt-out bulb and the door that always stayed unlocked." |
| |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 2 | | matches | | 0 | "He sat down, the knee bothering him more than usual" | | 1 | "He said, not unkind" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 2 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "she admitted (admit)" |
| | dialogueSentences | 79 | | tagDensity | 0.19 | | leniency | 0.38 | | rawRatio | 0.133 | | effectiveRatio | 0.051 | |