| 72.34% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 3 | | adverbTags | | 0 | "he probed gently [gently]" | | 1 | "he said softly [softly]" | | 2 | "Silas said finally [finally]" |
| | dialogueSentences | 47 | | tagDensity | 0.468 | | leniency | 0.936 | | rawRatio | 0.136 | | effectiveRatio | 0.128 | |
| 66.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1192 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 2 |
| | 4 | | | 5 | |
| | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "gently" | | 3 | "barely above a whisper" | | 4 | "softly" | | 5 | "slowly" |
| |
| 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 | 1192 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "flickered" | | 1 | "otherworldly" | | 2 | "scanning" | | 3 | "familiar" | | 4 | "comforting" | | 5 | "weight" | | 6 | "scanned" | | 7 | "unspoken" | | 8 | "could feel" | | 9 | "tension" | | 10 | "tracing" | | 11 | "whisper" | | 12 | "reminder" | | 13 | "etching" | | 14 | "tinged" | | 15 | "flicker" | | 16 | "racing" | | 17 | "silence" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "weight of words/silence" | | count | 2 |
| | 1 | | label | "hung in the air" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "the weight of unspoken words" | | 1 | "the weight of his words" | | 2 | "hung heavy in the air" | | 3 | "a flicker of hope" |
| |
| 95.24% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 56 | | matches | | 0 | "d with regret" | | 1 | "a flicker of hope" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 56 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1192 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 835 | | uniqueNames | 9 | | maxNameDensity | 1.08 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Blackwood | 1 | | Carter | 1 | | Rory | 9 | | Golden | 1 | | Empress | 1 | | London | 1 | | Silas | 9 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Blackwood" | | 3 | "Carter" | | 4 | "Rory" | | 5 | "Silas" |
| | places | | | globalScore | 0.961 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.839 | | wordCount | 1192 | | matches | | 0 | "not as the people they once were, but as the people they had become" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 31.37 | | std | 21.56 | | cv | 0.687 | | sampleLengths | | 0 | 100 | | 1 | 90 | | 2 | 52 | | 3 | 12 | | 4 | 22 | | 5 | 19 | | 6 | 65 | | 7 | 20 | | 8 | 23 | | 9 | 29 | | 10 | 24 | | 11 | 51 | | 12 | 17 | | 13 | 32 | | 14 | 9 | | 15 | 17 | | 16 | 12 | | 17 | 12 | | 18 | 24 | | 19 | 20 | | 20 | 24 | | 21 | 47 | | 22 | 18 | | 23 | 51 | | 24 | 20 | | 25 | 23 | | 26 | 18 | | 27 | 31 | | 28 | 27 | | 29 | 19 | | 30 | 20 | | 31 | 16 | | 32 | 61 | | 33 | 21 | | 34 | 20 | | 35 | 14 | | 36 | 71 | | 37 | 41 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 137 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 81 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 839 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 22 | | adverbRatio | 0.026221692491060787 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.013110846245530394 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 14.72 | | std | 7.56 | | cv | 0.514 | | sampleLengths | | 0 | 20 | | 1 | 18 | | 2 | 26 | | 3 | 36 | | 4 | 30 | | 5 | 36 | | 6 | 24 | | 7 | 20 | | 8 | 11 | | 9 | 21 | | 10 | 8 | | 11 | 4 | | 12 | 15 | | 13 | 7 | | 14 | 16 | | 15 | 3 | | 16 | 15 | | 17 | 32 | | 18 | 18 | | 19 | 20 | | 20 | 11 | | 21 | 12 | | 22 | 12 | | 23 | 17 | | 24 | 10 | | 25 | 14 | | 26 | 11 | | 27 | 18 | | 28 | 22 | | 29 | 17 | | 30 | 20 | | 31 | 12 | | 32 | 9 | | 33 | 9 | | 34 | 8 | | 35 | 6 | | 36 | 6 | | 37 | 12 | | 38 | 7 | | 39 | 17 | | 40 | 8 | | 41 | 12 | | 42 | 15 | | 43 | 9 | | 44 | 12 | | 45 | 22 | | 46 | 13 | | 47 | 14 | | 48 | 4 | | 49 | 17 |
| |
| 72.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.4444444444444444 | | totalSentences | 81 | | uniqueOpeners | 36 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | 0 | "Maybe they could find their" |
| | ratio | 0.018 | |
| 27.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 56 | | matches | | 0 | "She had come to the" | | 1 | "He set the glass down" | | 2 | "he said, his voice warm" | | 3 | "she replied, her lips curving" | | 4 | "he said, gesturing for her" | | 5 | "She settled onto a barstool," | | 6 | "He had always been a" | | 7 | "she asked, trying to keep" | | 8 | "he replied, sliding the pint" | | 9 | "he said, his eyes narrowing" | | 10 | "She nodded, the weight of" | | 11 | "she admitted, her fingers tracing" | | 12 | "he probed gently, his gaze" | | 13 | "she said, her voice barely" | | 14 | "she challenged, a hint of" | | 15 | "he replied, his eyes searching" | | 16 | "he said, his voice low" | | 17 | "She looked away, her gaze" | | 18 | "she insisted, though the tremor" | | 19 | "she said, her voice tinged" |
| | ratio | 0.482 | |
| 13.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 56 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "A distinctive green neon sign" | | 2 | "Silas Blackwood stood behind the" | | 3 | "Aurora Carter, known to her" | | 4 | "She had come to the" | | 5 | "The Raven's Nest had been" | | 6 | "Silas caught her gaze, a" | | 7 | "He set the glass down" | | 8 | "he said, his voice warm" | | 9 | "she replied, her lips curving" | | 10 | "he said, gesturing for her" | | 11 | "She settled onto a barstool," | | 12 | "He had always been a" | | 13 | "she asked, trying to keep" | | 14 | "he replied, sliding the pint" | | 15 | "Rory took a sip, the" | | 16 | "he said, his eyes narrowing" | | 17 | "She nodded, the weight of" | | 18 | "The years had changed them" | | 19 | "Rory could feel the tension" |
| | ratio | 0.893 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "Silas Blackwood stood behind the bar, his grey-streaked auburn hair catching the light as he polished a glass, his hazel eyes scanning the room with the practic…" | | 1 | "As Silas poured her drink, she studied him, noting the slight limp in his left leg, the way he moved with a quiet authority that spoke of years spent in the sha…" | | 2 | "She looked away, her gaze drifting to the photographs lining the walls." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 12 | | matches | | 0 | "he said, his voice warm and gravelly" | | 1 | "he said, his eyes narrowing slightly" | | 2 | "Silas asked, his tone casual, but she could sense the underlying concern" | | 3 | "he probed gently, his gaze steady" | | 4 | "she said, her voice barely above a whisper" | | 5 | "she challenged, a hint of defensiveness creeping into her tone" | | 6 | "he replied, his eyes searching hers" | | 7 | "he said, his voice low" | | 8 | "she asked, her voice barely above a whisper" | | 9 | "she challenged, her heart racing" | | 10 | "Silas said finally, his voice low and steady" | | 11 | "he replied, his gaze softening" |
| |
| 22.34% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 6 | | fancyTags | | 0 | "she admitted (admit)" | | 1 | "he probed gently (probe)" | | 2 | "she challenged (challenge)" | | 3 | "she insisted (insist)" | | 4 | "Silas urged (urge)" | | 5 | "she challenged (challenge)" |
| | dialogueSentences | 47 | | tagDensity | 0.447 | | leniency | 0.894 | | rawRatio | 0.286 | | effectiveRatio | 0.255 | |