| 53.66% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said softly [softly]" | | 1 | "Silas asked suddenly [suddenly]" | | 2 | "she said quietly [quietly]" |
| | dialogueSentences | 41 | | tagDensity | 0.317 | | leniency | 0.634 | | rawRatio | 0.231 | | effectiveRatio | 0.146 | |
| 60.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1005 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | | 2 | | adverb | "ever so slightly" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | |
| | highlights | | 0 | "tightly" | | 1 | "quickly" | | 2 | "ever so slightly" | | 3 | "softly" | | 4 | "slowly" | | 5 | "suddenly" | | 6 | "gently" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1005 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "familiar" | | 1 | "scanning" | | 2 | "warmth" | | 3 | "fractured" | | 4 | "weight" | | 5 | "chill" | | 6 | "jaw clenched" | | 7 | "unsettled" | | 8 | "unspoken" | | 9 | "silence" | | 10 | "resolve" | | 11 | "wavered" | | 12 | "tension" | | 13 | "tracing" | | 14 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 95.76% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 57 | | matches | | 0 | "d with hope" | | 1 | "d with sorrow" |
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| 92.73% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 992 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 661 | | uniqueNames | 7 | | maxNameDensity | 1.51 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Aurora | 8 | | Raven | 1 | | Nest | 1 | | Spymaster | 1 | | Silas | 10 | | Cardiff | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Raven" | | 2 | "Silas" |
| | places | | | globalScore | 0.744 | | windowScore | 0.667 | |
| 33.72% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 2 | | matches | | 0 | "photographs that seemed to watch with tired patience" | | 1 | "as if reading her thoughts" |
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| 99.19% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.008 | | wordCount | 992 | | matches | | 0 | "not to celebrate, but to acknowledge the miles across years" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 22.55 | | std | 12.81 | | cv | 0.568 | | sampleLengths | | 0 | 76 | | 1 | 51 | | 2 | 41 | | 3 | 41 | | 4 | 20 | | 5 | 17 | | 6 | 22 | | 7 | 30 | | 8 | 20 | | 9 | 34 | | 10 | 31 | | 11 | 15 | | 12 | 20 | | 13 | 26 | | 14 | 42 | | 15 | 16 | | 16 | 19 | | 17 | 33 | | 18 | 13 | | 19 | 25 | | 20 | 8 | | 21 | 8 | | 22 | 11 | | 23 | 24 | | 24 | 17 | | 25 | 10 | | 26 | 18 | | 27 | 25 | | 28 | 17 | | 29 | 18 | | 30 | 27 | | 31 | 20 | | 32 | 20 | | 33 | 11 | | 34 | 15 | | 35 | 13 | | 36 | 16 | | 37 | 33 | | 38 | 15 | | 39 | 8 | | 40 | 10 | | 41 | 11 | | 42 | 23 | | 43 | 22 |
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| 99.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 57 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 84 | | ratio | 0.071 | | matches | | 0 | "A figure stood behind the counter—a tall man with a silver-streaked auburn beard and a limp hinted in every step." | | 1 | "For a moment, time fractured, and she saw him as he’d been—young, sharp-eyed, and impossibly confident, running errands in foreign cities with a sly smile." | | 2 | "She remembered their last real conversation—a hurried goodbye, tangled with hope and unspoken fears before she fled Cardiff." | | 3 | "The bar’s low murmurs wavered as a few patrons glanced over, sensing the tension—two old ghosts crossing paths in a place that never forgot them." | | 4 | "A shard of something unspoken passed between them—a mixture of apology, longing, and the raw unravelling of time’s relentless pull." | | 5 | "They drank then—not to celebrate, but to acknowledge the miles across years and silence, the unspoken tethers pulling them back to the moment." |
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| 90.19% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 673 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.04903417533432392 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.022288261515601784 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 11.81 | | std | 6.17 | | cv | 0.522 | | sampleLengths | | 0 | 24 | | 1 | 14 | | 2 | 15 | | 3 | 23 | | 4 | 10 | | 5 | 15 | | 6 | 20 | | 7 | 6 | | 8 | 15 | | 9 | 20 | | 10 | 1 | | 11 | 3 | | 12 | 2 | | 13 | 25 | | 14 | 16 | | 15 | 20 | | 16 | 11 | | 17 | 6 | | 18 | 11 | | 19 | 11 | | 20 | 12 | | 21 | 18 | | 22 | 10 | | 23 | 10 | | 24 | 14 | | 25 | 20 | | 26 | 9 | | 27 | 22 | | 28 | 7 | | 29 | 8 | | 30 | 14 | | 31 | 6 | | 32 | 9 | | 33 | 8 | | 34 | 9 | | 35 | 12 | | 36 | 18 | | 37 | 12 | | 38 | 16 | | 39 | 9 | | 40 | 10 | | 41 | 17 | | 42 | 16 | | 43 | 8 | | 44 | 5 | | 45 | 25 | | 46 | 8 | | 47 | 8 | | 48 | 11 | | 49 | 9 |
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| 85.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5119047619047619 | | totalSentences | 84 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 57.04% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 54 | | matches | | 0 | "She shook off her soaked" | | 1 | "It was the sort of" | | 2 | "She hadn’t been here in" | | 3 | "Her old friend." | | 4 | "He noticed her before she" | | 5 | "His voice was dry, the" | | 6 | "She shrugged off her damp" | | 7 | "He wiped a glass with" | | 8 | "She hesitated, fingers tapping on" | | 9 | "he said softly" | | 10 | "she said, the name falling" | | 11 | "He shook his head slowly" | | 12 | "She remembered their last real" | | 13 | "she said quietly" | | 14 | "he asked, voice dropping" | | 15 | "Her gaze lifted to meet" | | 16 | "She gave a bitter laugh." | | 17 | "he said, tapping the bar" | | 18 | "he answered, voice rough" | | 19 | "She hesitated, then smiled with" |
| | ratio | 0.407 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 54 | | matches | | 0 | "Rain pelted the narrow streets" | | 1 | "The green neon sign buzzed" | | 2 | "She shook off her soaked" | | 3 | "It was the sort of" | | 4 | "The air inside was thick" | | 5 | "Maps strewn across the walls" | | 6 | "Aurora’s eyes adjusted quickly, scanning" | | 7 | "She hadn’t been here in" | | 8 | "A figure stood behind the" | | 9 | "Her old friend." | | 10 | "He noticed her before she" | | 11 | "His voice was dry, the" | | 12 | "She shrugged off her damp" | | 13 | "He wiped a glass with" | | 14 | "Aurora laughed, a short, sharp" | | 15 | "Silas shifted, the limp catching" | | 16 | "She hesitated, fingers tapping on" | | 17 | "he said softly" | | 18 | "she said, the name falling" | | 19 | "Silas’s jaw clenched, eyes drifting" |
| | ratio | 0.889 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 54 | | matches | | 0 | "Now he bore the weight" |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "Maps strewn across the walls framed black-and-white photographs that seemed to watch with tired patience." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 6 | | matches | | 0 | "He wiped, eyes narrowing" | | 1 | "she said, the name falling between them like a chill wind" | | 2 | "Silas asked suddenly, as if reading her thoughts" | | 3 | "he asked, voice dropping" | | 4 | "Silas called, the spark of shared history igniting briefly between them" | | 5 | "he answered, voice rough" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.244 | | leniency | 0.488 | | rawRatio | 0 | | effectiveRatio | 0 | |