| 63.01% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 36 | | adverbTagCount | 5 | | adverbTags | | 0 | "she said sharply [sharply]" | | 1 | "she said eventually [eventually]" | | 2 | "she said quietly [quietly]" | | 3 | "he said firmly [firmly]" | | 4 | "she said softly [softly]" |
| | dialogueSentences | 73 | | tagDensity | 0.493 | | leniency | 0.986 | | rawRatio | 0.139 | | effectiveRatio | 0.137 | |
| 79.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 999 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "really" | | 2 | "gently" | | 3 | "softly" |
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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) | |
| 14.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 999 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "echoed" | | 1 | "whimsical" | | 2 | "implication" | | 3 | "tension" | | 4 | "silence" | | 5 | "dancing" | | 6 | "weight" | | 7 | "unspoken" | | 8 | "flicked" | | 9 | "sanctuary" | | 10 | "furrowed" | | 11 | "echo" | | 12 | "shattered" | | 13 | "firmly" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | |
| 99.75% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 66 | | matches | | 0 | "n with regret" | | 1 | "a spark of hope" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 996 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 33 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 634 | | uniqueNames | 6 | | maxNameDensity | 1.58 | | worstName | "George" | | maxWindowNameDensity | 3 | | worstWindowName | "George" | | discoveredNames | | Aurora | 2 | | Carter | 1 | | Rory | 6 | | George | 10 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "George" | | 4 | "Raven" |
| | places | (empty) | | globalScore | 0.711 | | windowScore | 0.667 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 2 | | matches | | 0 | "as if seeing the bar anew" | | 1 | "felt like they would never heal, the fi" |
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| 99.60% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.004 | | wordCount | 996 | | matches | | 0 | "not free of the scars of the past but brimming with the promise of the unknown" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 20.33 | | std | 11.45 | | cv | 0.563 | | sampleLengths | | 0 | 16 | | 1 | 64 | | 2 | 14 | | 3 | 12 | | 4 | 14 | | 5 | 28 | | 6 | 26 | | 7 | 12 | | 8 | 21 | | 9 | 19 | | 10 | 12 | | 11 | 20 | | 12 | 7 | | 13 | 23 | | 14 | 18 | | 15 | 14 | | 16 | 11 | | 17 | 64 | | 18 | 16 | | 19 | 31 | | 20 | 12 | | 21 | 15 | | 22 | 27 | | 23 | 14 | | 24 | 23 | | 25 | 42 | | 26 | 16 | | 27 | 11 | | 28 | 12 | | 29 | 15 | | 30 | 32 | | 31 | 15 | | 32 | 19 | | 33 | 21 | | 34 | 14 | | 35 | 19 | | 36 | 16 | | 37 | 14 | | 38 | 17 | | 39 | 21 | | 40 | 11 | | 41 | 29 | | 42 | 12 | | 43 | 22 | | 44 | 9 | | 45 | 16 | | 46 | 31 | | 47 | 31 | | 48 | 18 |
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| 99.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 66 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 124 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 102 | | ratio | 0 | | matches | (empty) | |
| 99.23% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 636 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.040880503144654086 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.01729559748427673 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 9.76 | | std | 6.01 | | cv | 0.615 | | sampleLengths | | 0 | 16 | | 1 | 30 | | 2 | 19 | | 3 | 15 | | 4 | 12 | | 5 | 2 | | 6 | 10 | | 7 | 2 | | 8 | 6 | | 9 | 8 | | 10 | 10 | | 11 | 13 | | 12 | 5 | | 13 | 14 | | 14 | 11 | | 15 | 1 | | 16 | 6 | | 17 | 6 | | 18 | 11 | | 19 | 10 | | 20 | 15 | | 21 | 4 | | 22 | 7 | | 23 | 5 | | 24 | 14 | | 25 | 6 | | 26 | 3 | | 27 | 4 | | 28 | 23 | | 29 | 6 | | 30 | 12 | | 31 | 7 | | 32 | 4 | | 33 | 3 | | 34 | 11 | | 35 | 14 | | 36 | 23 | | 37 | 27 | | 38 | 10 | | 39 | 6 | | 40 | 17 | | 41 | 10 | | 42 | 4 | | 43 | 3 | | 44 | 9 | | 45 | 10 | | 46 | 5 | | 47 | 9 | | 48 | 9 | | 49 | 9 |
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| 84.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5294117647058824 | | totalSentences | 102 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 57 | | matches | | 0 | "He looked almost the same:" | | 1 | "she said, her voice a" | | 2 | "he replied, slipping onto the" | | 3 | "She laughed, a short, sharp" | | 4 | "He winced at her bluntness" | | 5 | "he ordered, a touch of" | | 6 | "She took a sip of" | | 7 | "It was a safe answer," | | 8 | "he said, leaning back" | | 9 | "she echoed, a hint of" | | 10 | "she replied, her voice steady" | | 11 | "he said, changing the subject" | | 12 | "she said sharply" | | 13 | "she replied though the tension" | | 14 | "They fell into an uneasy" | | 15 | "she said with a faint" | | 16 | "he asked, his voice softer" | | 17 | "she said eventually, her gaze" | | 18 | "he said, almost pleading" | | 19 | "she said, her voice an" |
| | ratio | 0.561 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 57 | | matches | | 0 | "George's voice cut through the" | | 1 | "Aurora Carter, known to friends" | | 2 | "He looked almost the same:" | | 3 | "she said, her voice a" | | 4 | "he replied, slipping onto the" | | 5 | "She laughed, a short, sharp" | | 6 | "He winced at her bluntness" | | 7 | "he ordered, a touch of" | | 8 | "She took a sip of" | | 9 | "It was a safe answer," | | 10 | "he said, leaning back" | | 11 | "she echoed, a hint of" | | 12 | "George said, his gaze lingering" | | 13 | "she replied, her voice steady" | | 14 | "he said, changing the subject" | | 15 | "she said sharply" | | 16 | "George raised his hands in" | | 17 | "she replied though the tension" | | 18 | "They fell into an uneasy" | | 19 | "The low lighting of The" |
| | ratio | 0.93 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 57 | | matches | | 0 | "Yet, there was a gravity" |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 1 | | matches | | 0 | "The nights of reckless abandon, the fights that felt like they would never heal, the final argument that had shattered what was left of their friendship." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 36 | | uselessAdditionCount | 11 | | matches | | 0 | "she said, her voice a careful mix of surprise and neutrality" | | 1 | "he ordered, a touch of the old arrogance in his tone" | | 2 | "she echoed, a hint of bitterness seeping into her voice" | | 3 | "George said, his gaze lingering on the scar on her left wrist" | | 4 | "she replied, her voice steady" | | 5 | "Aurora admitted, a fondness creeping into her voice" | | 6 | "he asked, his voice softer now, laden with regret" | | 7 | "she said eventually, her gaze distant" | | 8 | "she said, her voice an echo of earlier" | | 9 | "George said, his voice urgent" | | 10 | "she said, a spark of hope igniting in her chest," |
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| 13.01% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 33 | | fancyCount | 10 | | fancyTags | | 0 | "he ordered (order)" | | 1 | "she corrected (correct)" | | 2 | "she murmured (murmur)" | | 3 | "he mumbled (mumble)" | | 4 | "Aurora admitted (admit)" | | 5 | "he challenged (challenge)" | | 6 | "she conceded (concede)" | | 7 | "he insisted (insist)" | | 8 | "he argued (argue)" | | 9 | "she repeated (repeat)" |
| | dialogueSentences | 73 | | tagDensity | 0.452 | | leniency | 0.904 | | rawRatio | 0.303 | | effectiveRatio | 0.274 | |