| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured around [around]" | | 1 | "he said softly [softly]" |
| | dialogueSentences | 39 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0.095 | | effectiveRatio | 0.095 | |
| 50.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1013 | | totalAiIsmAdverbs | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "truly" | | 1 | "suddenly" | | 2 | "slowly" | | 3 | "carefully" | | 4 | "softly" | | 5 | "barely above a whisper" |
| |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1013 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "calloused fingers" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "familiar" | | 1 | "flickered" | | 2 | "scanned" | | 3 | "tinged" | | 4 | "eyebrow" | | 5 | "unreadable" | | 6 | "silence" | | 7 | "unspoken" | | 8 | "weight" | | 9 | "charged" | | 10 | "calloused fingers" | | 11 | "tracing" | | 12 | "measured" | | 13 | "furrowed" | | 14 | "fleeting" | | 15 | "traced" | | 16 | "constructed" | | 17 | "whisper" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 51 | | matches | | |
| 86.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 51 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1013 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.12% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 657 | | uniqueNames | 3 | | maxNameDensity | 1.22 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | | persons | | 0 | "Blackwood" | | 1 | "Silas" | | 2 | "Aurora" |
| | places | (empty) | | globalScore | 0.891 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 0 | | totalSentences | 70 | | matches | (empty) | |
| 36.32% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 40.52 | | std | 11.23 | | cv | 0.277 | | sampleLengths | | 0 | 63 | | 1 | 58 | | 2 | 37 | | 3 | 33 | | 4 | 25 | | 5 | 22 | | 6 | 39 | | 7 | 32 | | 8 | 57 | | 9 | 23 | | 10 | 36 | | 11 | 52 | | 12 | 43 | | 13 | 44 | | 14 | 55 | | 15 | 45 | | 16 | 27 | | 17 | 37 | | 18 | 35 | | 19 | 34 | | 20 | 46 | | 21 | 52 | | 22 | 43 | | 23 | 47 | | 24 | 28 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 118 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 70 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 554 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.02707581227436823 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.009025270758122744 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 14.47 | | std | 6.1 | | cv | 0.422 | | sampleLengths | | 0 | 17 | | 1 | 22 | | 2 | 24 | | 3 | 15 | | 4 | 16 | | 5 | 11 | | 6 | 16 | | 7 | 17 | | 8 | 9 | | 9 | 11 | | 10 | 10 | | 11 | 18 | | 12 | 5 | | 13 | 17 | | 14 | 8 | | 15 | 5 | | 16 | 17 | | 17 | 9 | | 18 | 18 | | 19 | 12 | | 20 | 13 | | 21 | 13 | | 22 | 6 | | 23 | 22 | | 24 | 10 | | 25 | 3 | | 26 | 22 | | 27 | 15 | | 28 | 8 | | 29 | 9 | | 30 | 16 | | 31 | 11 | | 32 | 12 | | 33 | 24 | | 34 | 16 | | 35 | 5 | | 36 | 22 | | 37 | 16 | | 38 | 9 | | 39 | 22 | | 40 | 13 | | 41 | 10 | | 42 | 21 | | 43 | 24 | | 44 | 20 | | 45 | 25 | | 46 | 10 | | 47 | 17 | | 48 | 13 | | 49 | 24 |
| |
| 60.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.37142857142857144 | | totalSentences | 70 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 47.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 51 | | matches | | 0 | "She paused, unsure whether to" | | 1 | "she greeted, sliding onto the" | | 2 | "He inclined his head, a" | | 3 | "His voice was low, tinged" | | 4 | "She signaled the bartender for" | | 5 | "He arched one greying eyebrow." | | 6 | "She shook her head, a" | | 7 | "She trailed off, suddenly unsure" | | 8 | "she said at last, the" | | 9 | "She swirled the whiskey in" | | 10 | "She trailed off, unwilling to" | | 11 | "He reached out, his calloused" | | 12 | "She took a steadying breath," | | 13 | "He gestured around the dimly" | | 14 | "she said at last, her" | | 15 | "He swirled the amber liquid" | | 16 | "It was a question she" | | 17 | "She paused, brow furrowed in" | | 18 | "She traced the rim of" | | 19 | "He reached out, giving her" |
| | ratio | 0.431 | |
| 28.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 51 | | matches | | 0 | "The familiar green neon sign" | | 1 | "Aurora pushed the heavy oak" | | 2 | "A figure in the corner" | | 3 | "Silas Blackwood sat at the" | | 4 | "She paused, unsure whether to" | | 5 | "she greeted, sliding onto the" | | 6 | "He inclined his head, a" | | 7 | "His voice was low, tinged" | | 8 | "She signaled the bartender for" | | 9 | "He arched one greying eyebrow." | | 10 | "She shook her head, a" | | 11 | "Silas regarded her over the" | | 12 | "A beat of silence passed" | | 13 | "The weight of the question" | | 14 | "She trailed off, suddenly unsure" | | 15 | "The years had been both" | | 16 | "she said at last, the" | | 17 | "Silas nodded slowly, his gaze" | | 18 | "Another pause, the space between" | | 19 | "A ghost of a smile" |
| | ratio | 0.863 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "How could she begin to explain the years of struggle, the battles won and lost, the scars that had become a part of her?" | | 1 | "Silas nodded, his gaze filled with a quiet understanding that made her heart ache." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 8 | | matches | | 0 | "she said, the words falling flat even to her own ears" | | 1 | "She swirled, the amber liquid catching the dim light" | | 2 | "She trailed, unwilling to voice the unpleasant details" | | 3 | "Silas asked, his voice low" | | 4 | "she said, her tone carefully measured" | | 5 | "He swirled, the ice cubes clinking softly" | | 6 | "She traced, the cool glass grounding her" | | 7 | "she admitted, her voice barely above a whisper" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 39 | | tagDensity | 0.128 | | leniency | 0.256 | | rawRatio | 0.2 | | effectiveRatio | 0.051 | |