| 43.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said softly [softly]" | | 1 | "He gestured around [around]" | | 2 | "he said simply [simply]" | | 3 | "she asked suddenly [suddenly]" |
| | dialogueSentences | 51 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.235 | | effectiveRatio | 0.157 | |
| 69.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 989 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "knowingly" | | 2 | "really" | | 3 | "softly" | | 4 | "suddenly" |
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| 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) | |
| 49.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 989 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "gloom" | | 1 | "warmth" | | 2 | "flicker" | | 3 | "echo" | | 4 | "weight" | | 5 | "silence" | | 6 | "unraveling" |
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| 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 | 65 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 980 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 654 | | uniqueNames | 8 | | maxNameDensity | 1.22 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Carter | 1 | | London | 1 | | Silas | 8 | | Aurora | 6 | | Spymaster | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Silas" | | 4 | "Aurora" |
| | places | | | globalScore | 0.888 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | 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 | 980 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 20.42 | | std | 16.34 | | cv | 0.8 | | sampleLengths | | 0 | 83 | | 1 | 12 | | 2 | 42 | | 3 | 47 | | 4 | 34 | | 5 | 6 | | 6 | 12 | | 7 | 11 | | 8 | 23 | | 9 | 12 | | 10 | 31 | | 11 | 15 | | 12 | 23 | | 13 | 22 | | 14 | 12 | | 15 | 14 | | 16 | 34 | | 17 | 10 | | 18 | 19 | | 19 | 10 | | 20 | 38 | | 21 | 7 | | 22 | 13 | | 23 | 3 | | 24 | 2 | | 25 | 38 | | 26 | 14 | | 27 | 10 | | 28 | 10 | | 29 | 8 | | 30 | 18 | | 31 | 30 | | 32 | 12 | | 33 | 11 | | 34 | 8 | | 35 | 18 | | 36 | 54 | | 37 | 11 | | 38 | 17 | | 39 | 9 | | 40 | 16 | | 41 | 17 | | 42 | 18 | | 43 | 15 | | 44 | 13 | | 45 | 17 | | 46 | 11 | | 47 | 70 |
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| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 65 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 99 | | ratio | 0.061 | | matches | | 0 | "She laughed—a sharp sound torn between disbelief and relief." | | 1 | "“Couldn’t outrun Evan forever.” She bit her lip, the scar on her left wrist—crescent-shaped— catching the bar’s dim light." | | 2 | "His limp, the subtle lines framing his eyes—they told stories." | | 3 | "Aurora’s mind drifted to the years lost—the calls unanswered, messages ignored, the friendship twisted tight with silence and distance." | | 4 | "Aurora glanced toward the bookshelf that masked the bar’s secret room—the place where hidden plans and quiet alliances slipped out of sight." | | 5 | "Neither asked for forgiveness; neither demanded explanations." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 464 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.036637931034482756 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.010775862068965518 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 9.9 | | std | 6.61 | | cv | 0.668 | | sampleLengths | | 0 | 14 | | 1 | 24 | | 2 | 19 | | 3 | 26 | | 4 | 12 | | 5 | 19 | | 6 | 8 | | 7 | 15 | | 8 | 12 | | 9 | 17 | | 10 | 18 | | 11 | 9 | | 12 | 16 | | 13 | 9 | | 14 | 3 | | 15 | 3 | | 16 | 9 | | 17 | 3 | | 18 | 7 | | 19 | 4 | | 20 | 9 | | 21 | 14 | | 22 | 12 | | 23 | 7 | | 24 | 24 | | 25 | 8 | | 26 | 7 | | 27 | 19 | | 28 | 4 | | 29 | 3 | | 30 | 6 | | 31 | 13 | | 32 | 6 | | 33 | 6 | | 34 | 4 | | 35 | 10 | | 36 | 7 | | 37 | 15 | | 38 | 10 | | 39 | 2 | | 40 | 4 | | 41 | 6 | | 42 | 8 | | 43 | 11 | | 44 | 2 | | 45 | 8 | | 46 | 17 | | 47 | 21 | | 48 | 7 | | 49 | 6 |
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| 73.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.46464646464646464 | | totalSentences | 99 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 30.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 59 | | matches | | 0 | "She dropped her damp coat" | | 1 | "His neatly trimmed grey-streaked auburn" | | 2 | "He leaned on the bar" | | 3 | "His limp made a faint" | | 4 | "Her bright blue eyes darted" | | 5 | "She laughed—a sharp sound torn" | | 6 | "He nodded a faint" | | 7 | "She bit her lip, the" | | 8 | "He nodded knowingly." | | 9 | "Her fingers drummed" | | 10 | "His limp, the subtle lines" | | 11 | "she said softly" | | 12 | "He paused, eyes flickering over" | | 13 | "He gestured around the dim" | | 14 | "she said, voice brittle under" | | 15 | "His gaze turned sharper, patient." | | 16 | "Her hand brushed the scar" | | 17 | "She blinked, surprised." | | 18 | "he said simply" | | 19 | "She wondered if Silas still" |
| | ratio | 0.475 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 59 | | matches | | 0 | "The green neon sign outside" | | 1 | "The Raven’s Nest sat tucked" | | 2 | "Aurora Carter pushed in through" | | 3 | "She dropped her damp coat" | | 4 | "The voice was hesitant but" | | 5 | "Hazel eyes lifted slowly, sharpened" | | 6 | "His neatly trimmed grey-streaked auburn" | | 7 | "The name landed heavy, as" | | 8 | "He leaned on the bar" | | 9 | "His limp made a faint" | | 10 | "Her bright blue eyes darted" | | 11 | "The boy she remembered had" | | 12 | "The same tall frame, but" | | 13 | "She laughed—a sharp sound torn" | | 14 | "The barkeeper slid a glass" | | 15 | "He nodded a faint" | | 16 | "The moment stayed thick, unspooling" | | 17 | "Silas asked, voice low" | | 18 | "Aurora shrugged, fingers curling around" | | 19 | "Silas smiled then, a thin" |
| | ratio | 0.949 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "Aurora glanced toward the bookshelf that masked the bar’s secret room—the place where hidden plans and quiet alliances slipped out of sight." |
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| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "The name landed, as if dusted with years of memory" | | 1 | "Silas asked, voice low" | | 2 | "Her hand brushed, fingers trembling for a heartbeat" | | 3 | "he said, voice softening" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "she admitted (admit)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 51 | | tagDensity | 0.216 | | leniency | 0.431 | | rawRatio | 0.182 | | effectiveRatio | 0.078 | |