| 86.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 3 | | adverbTags | | 0 | "Donald looked around [around]" | | 1 | "Silas said coldly [coldly]" | | 2 | "Silas said quietly [quietly]" |
| | dialogueSentences | 53 | | tagDensity | 0.396 | | leniency | 0.792 | | rawRatio | 0.143 | | effectiveRatio | 0.113 | |
| 92.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1256 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 36.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1256 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "shattered" | | 1 | "methodical" | | 2 | "weight" | | 3 | "charm" | | 4 | "chaotic" | | 5 | "crystal" | | 6 | "synthetic" | | 7 | "intrigue" | | 8 | "scanning" | | 9 | "tinged" | | 10 | "tracing" | | 11 | "silence" | | 12 | "stark" | | 13 | "comfortable" | | 14 | "echoed" | | 15 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1256 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 788 | | uniqueNames | 16 | | maxNameDensity | 2.16 | | worstName | "Silas" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Donald" | | discoveredNames | | Blackwood | 1 | | Silas | 17 | | Donald | 16 | | Vance | 1 | | Prague | 1 | | Scotch | 1 | | Europe | 1 | | Carter | 1 | | London | 2 | | Golden | 1 | | Empress | 1 | | Rory | 3 | | Welsh-tinged | 1 | | Nest | 1 | | Soho | 1 | | Surrey | 1 |
| | persons | | 0 | "Blackwood" | | 1 | "Silas" | | 2 | "Donald" | | 3 | "Vance" | | 4 | "Carter" | | 5 | "Rory" |
| | places | | 0 | "Prague" | | 1 | "Europe" | | 2 | "London" | | 3 | "Soho" | | 4 | "Surrey" |
| | globalScore | 0.421 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | 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 | 1256 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 27.3 | | std | 16.99 | | cv | 0.622 | | sampleLengths | | 0 | 21 | | 1 | 64 | | 2 | 15 | | 3 | 41 | | 4 | 21 | | 5 | 60 | | 6 | 24 | | 7 | 21 | | 8 | 11 | | 9 | 33 | | 10 | 21 | | 11 | 7 | | 12 | 52 | | 13 | 27 | | 14 | 46 | | 15 | 8 | | 16 | 8 | | 17 | 78 | | 18 | 12 | | 19 | 59 | | 20 | 15 | | 21 | 44 | | 22 | 22 | | 23 | 21 | | 24 | 27 | | 25 | 26 | | 26 | 27 | | 27 | 38 | | 28 | 22 | | 29 | 35 | | 30 | 20 | | 31 | 15 | | 32 | 2 | | 33 | 36 | | 34 | 37 | | 35 | 6 | | 36 | 47 | | 37 | 6 | | 38 | 26 | | 39 | 3 | | 40 | 32 | | 41 | 32 | | 42 | 6 | | 43 | 26 | | 44 | 25 | | 45 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 123 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 96 | | ratio | 0 | | matches | (empty) | |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 798 | | adjectiveStacks | 3 | | stackExamples | | 0 | "clean, heavy, short crystal" | | 1 | "small, silver-plated peppermint" | | 2 | "small crescent-shaped scar" |
| | adverbCount | 24 | | adverbRatio | 0.03007518796992481 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.013784461152882205 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 13.08 | | std | 6.88 | | cv | 0.526 | | sampleLengths | | 0 | 21 | | 1 | 4 | | 2 | 23 | | 3 | 20 | | 4 | 17 | | 5 | 15 | | 6 | 2 | | 7 | 6 | | 8 | 24 | | 9 | 9 | | 10 | 14 | | 11 | 7 | | 12 | 11 | | 13 | 22 | | 14 | 11 | | 15 | 16 | | 16 | 24 | | 17 | 15 | | 18 | 6 | | 19 | 11 | | 20 | 27 | | 21 | 6 | | 22 | 6 | | 23 | 5 | | 24 | 10 | | 25 | 7 | | 26 | 24 | | 27 | 6 | | 28 | 15 | | 29 | 7 | | 30 | 13 | | 31 | 14 | | 32 | 33 | | 33 | 13 | | 34 | 8 | | 35 | 8 | | 36 | 13 | | 37 | 14 | | 38 | 20 | | 39 | 17 | | 40 | 14 | | 41 | 12 | | 42 | 18 | | 43 | 14 | | 44 | 11 | | 45 | 16 | | 46 | 6 | | 47 | 9 | | 48 | 13 | | 49 | 20 |
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| 55.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3958333333333333 | | totalSentences | 96 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 84.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 62 | | matches | | 0 | "He merely moved his right" | | 1 | "He slid a fresh linen" | | 2 | "His left leg stiffened as" | | 3 | "He did not look up" | | 4 | "He knew the cadence of" | | 5 | "He wrung out the cloth" | | 6 | "He wore a beige, thick-felt" | | 7 | "His hair, once a sharp" | | 8 | "He didn't touch the glass." | | 9 | "He popped one into his" | | 10 | "She shook her head, scattering" | | 11 | "They lingered on Donald for" | | 12 | "She stepped up to the" | | 13 | "She glanced at the untouched" | | 14 | "She possessed a quiet, sharp" | | 15 | "She knew when a room" | | 16 | "She turned and vanished back" | | 17 | "He didn't drink, but he" | | 18 | "He looked at the soft" | | 19 | "His hand slipped beneath the" |
| | ratio | 0.339 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 62 | | matches | | 0 | "The heavy glass of a" | | 1 | "Silas Blackwood didn't flinch." | | 2 | "He merely moved his right" | | 3 | "He slid a fresh linen" | | 4 | "His left leg stiffened as" | | 5 | "a voice murmured from the" | | 6 | "He did not look up" | | 7 | "He knew the cadence of" | | 8 | "He wrung out the cloth" | | 9 | "Silas said, finally lifting his" | | 10 | "Donald Vance stepped into the" | | 11 | "The man who had once" | | 12 | "He wore a beige, thick-felt" | | 13 | "His hair, once a sharp" | | 14 | "Donald observed, pulling up a" | | 15 | "Silas replied, grabbing a clean," | | 16 | "Silas poured three fingers of" | | 17 | "Donald stared at the amber" | | 18 | "He didn't touch the glass." | | 19 | "Donald reached into his pocket" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "The man who had once slipped through the crowded markets of Prague like a ghost now looked solid, heavy, and dreadfully ordinary." | | 1 | "He wore a beige, thick-felt woollen overcoat that screamed middle-management retirement." | | 2 | "She shook her head, scattering tiny droplets of water, her bright blue eyes instantly scanning the room." | | 3 | "He looked at the soft hands, the expensive dental work, the comfortable beige coat of a man who had successfully traded his secrets for a pension and a garden i…" |
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| 29.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 4 | | matches | | 0 | "Silas said, his voice softening just enough to register" | | 1 | "Silas interrupted, his voice dropping an octave" | | 2 | "Donald said, his voice cracking slightly" | | 3 | "Donald leaned in, the smell of peppermint and stale fear pouring off him" |
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| 74.53% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 4 | | fancyTags | | 0 | "a voice murmured (murmur)" | | 1 | "Donald observed (observe)" | | 2 | "Silas interrupted (interrupt)" | | 3 | "Donald whispered (whisper)" |
| | dialogueSentences | 53 | | tagDensity | 0.283 | | leniency | 0.566 | | rawRatio | 0.267 | | effectiveRatio | 0.151 | |