| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 26 | | tagDensity | 0.538 | | leniency | 1 | | rawRatio | 0.071 | | effectiveRatio | 0.071 | |
| 89.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1372 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "gently" | | 2 | "really" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 38.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1372 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "familiar" | | 1 | "comforting" | | 2 | "silence" | | 3 | "crystal" | | 4 | "tension" | | 5 | "etched" | | 6 | "standard" | | 7 | "methodical" | | 8 | "weight" | | 9 | "fleeting" | | 10 | "profound" | | 11 | "whisper" | | 12 | "beacon" | | 13 | "unspoken" |
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| 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 | 0 | | narrationSentences | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | 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 | 1369 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1139 | | uniqueNames | 15 | | maxNameDensity | 0.79 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Rory | 7 | | Raven | 1 | | Nest | 1 | | London | 2 | | Underground | 1 | | Silas | 9 | | Prague | 1 | | Old | 1 | | Fashioned | 1 | | Spymaster | 1 | | Cardiff | 2 | | Pre-Law | 1 | | Evan | 1 | | Soho | 1 | | Leaving | 3 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Evan" |
| | places | | 0 | "London" | | 1 | "Prague" | | 2 | "Old" | | 3 | "Cardiff" | | 4 | "Soho" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.191 | | wordCount | 1369 | | matches | | 0 | "neither good nor" | | 1 | "Not in the way a man looks older from one year to the next, but in the way a landscape looks older after a storm has passed" | | 2 | "not the girl who had fled Cardiff, but who wasn’t yet the woman she would become" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 54.76 | | std | 31.61 | | cv | 0.577 | | sampleLengths | | 0 | 96 | | 1 | 85 | | 2 | 94 | | 3 | 54 | | 4 | 41 | | 5 | 13 | | 6 | 50 | | 7 | 77 | | 8 | 18 | | 9 | 22 | | 10 | 45 | | 11 | 51 | | 12 | 56 | | 13 | 83 | | 14 | 43 | | 15 | 128 | | 16 | 15 | | 17 | 10 | | 18 | 15 | | 19 | 71 | | 20 | 95 | | 21 | 11 | | 22 | 59 | | 23 | 59 | | 24 | 78 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 2.76% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 169 | | matches | | 0 | "was studying" | | 1 | "wasn’t wiping" | | 2 | "was standing" | | 3 | "was talking" | | 4 | "was pressing" |
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| 52.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 95 | | ratio | 0.032 | | matches | | 0 | "Not in the way a man looks older from one year to the next, but in the way a landscape looks older after a storm has passed through—etched, scoured, fundamentally altered." | | 1 | "Rory looked at him—really looked at him." | | 2 | "The life she’d fled, the abuse she’d endured—it was a torn page she tried to keep hidden, but its edges still frayed the story of who she was now." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1149 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 33 | | adverbRatio | 0.028720626631853787 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.013054830287206266 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 14.41 | | std | 9.17 | | cv | 0.636 | | sampleLengths | | 0 | 20 | | 1 | 12 | | 2 | 18 | | 3 | 22 | | 4 | 24 | | 5 | 12 | | 6 | 19 | | 7 | 11 | | 8 | 17 | | 9 | 21 | | 10 | 5 | | 11 | 9 | | 12 | 21 | | 13 | 18 | | 14 | 7 | | 15 | 13 | | 16 | 26 | | 17 | 12 | | 18 | 10 | | 19 | 17 | | 20 | 11 | | 21 | 4 | | 22 | 22 | | 23 | 19 | | 24 | 11 | | 25 | 2 | | 26 | 10 | | 27 | 23 | | 28 | 16 | | 29 | 1 | | 30 | 6 | | 31 | 17 | | 32 | 20 | | 33 | 3 | | 34 | 31 | | 35 | 11 | | 36 | 7 | | 37 | 18 | | 38 | 4 | | 39 | 8 | | 40 | 16 | | 41 | 4 | | 42 | 17 | | 43 | 12 | | 44 | 39 | | 45 | 5 | | 46 | 4 | | 47 | 28 | | 48 | 6 | | 49 | 13 |
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| 32.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.3157894736842105 | | totalSentences | 95 | | uniqueOpeners | 30 | |
| 41.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 80 | | matches | | 0 | "Then he turned his head" |
| | ratio | 0.013 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 80 | | matches | | 0 | "She pushed open the door" | | 1 | "He wasn’t wiping down the" | | 2 | "He was standing in the" | | 3 | "He was talking to someone." | | 4 | "He spoke in a low," | | 5 | "He stood with his hands" | | 6 | "He gave the man in" | | 7 | "He turned to face her" | | 8 | "He gestured to her usual" | | 9 | "She slid onto the leather" | | 10 | "She watched as he reached" | | 11 | "He looked older." | | 12 | "He pushed the glass toward" | | 13 | "She wrapped her fingers around" | | 14 | "He leaned against the back" | | 15 | "It was their standard banter," | | 16 | "It always had been." | | 17 | "It was the look of" | | 18 | "he said quietly" | | 19 | "Her thumb found the small," |
| | ratio | 0.5 | |
| 3.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 80 | | matches | | 0 | "The stairs down from Rory’s" | | 1 | "She pushed open the door" | | 2 | "The air thickened with the" | | 3 | "The low, steady thrum of" | | 4 | "The distinctive green glow of" | | 5 | "The Raven’s Nest was mostly" | | 6 | "A lone tourist was studying" | | 7 | "He wasn’t wiping down the" | | 8 | "He was standing in the" | | 9 | "He was talking to someone." | | 10 | "Rory froze, her hand still" | | 11 | "The man Silas was with" | | 12 | "He spoke in a low," | | 13 | "Silas, however, was a study" | | 14 | "He stood with his hands" | | 15 | "The grey-streaked auburn of his" | | 16 | "The change was immediate, a" | | 17 | "The hard, assessing look in" | | 18 | "He gave the man in" | | 19 | "The conversation was over." |
| | ratio | 0.913 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 34.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 7 | | matches | | 0 | "He was standing in the shadows near the far end, near the shelf of leather-bound books that hid the back room." | | 1 | "The man Silas was with was a stranger, tall and thin, dressed in a suit that was expensive but looked slept-in." | | 2 | "The door swung shut behind him, leaving a silence that felt heavier than the noise that had preceded it." | | 3 | "It was the look of a man who had spent his life reading micro-expressions in hostile cities, a look that could peel back layers of a person’s soul." | | 4 | "The truth was less cinematic and more mundane: a broken mug, a shard of ceramic, and a father who was more concerned with the stain on the antique rug than the …" | | 5 | "She saw the retired intelligence operative, the man who carried a permanent limp from a botched operation in Prague, the man who had offered her a room when she…" | | 6 | "He wasn’t just Silas, the bar owner who made a mean Old Fashioned." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 4 | | matches | | 0 | "She watched, his movements economical, precise" | | 1 | "she said, her voice low" | | 2 | "she asked, the question barely a whisper" | | 3 | "he said, his voice rough with an emotion she couldn’t name" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0 | | effectiveRatio | 0 | |