| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.361 | | leniency | 0.722 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1526 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 67.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1526 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "familiar" | | 2 | "scanning" | | 3 | "charm" | | 4 | "lilt" | | 5 | "tracing" | | 6 | "flicker" | | 7 | "weight" | | 8 | "trembled" | | 9 | "potential" |
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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 | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 1522 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 52.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 62 | | wordCount | 979 | | uniqueNames | 20 | | maxNameDensity | 1.94 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Golden | 1 | | Empress | 1 | | Guinness | 1 | | Silas | 9 | | Rory | 19 | | Europe | 1 | | London | 1 | | Valleys | 1 | | Liam | 16 | | Marxist | 1 | | Savile | 1 | | Row | 1 | | Patek | 1 | | Philippe | 1 | | French | 1 | | October | 1 | | Soho | 2 | | Laphroaig | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Empress" | | 3 | "Silas" | | 4 | "Rory" | | 5 | "Liam" | | 6 | "Patek" | | 7 | "Philippe" |
| | places | | 0 | "Golden" | | 1 | "Europe" | | 2 | "London" | | 3 | "Row" | | 4 | "October" | | 5 | "Soho" |
| | globalScore | 0.53 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | 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 | 1522 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 30.44 | | std | 19.36 | | cv | 0.636 | | sampleLengths | | 0 | 71 | | 1 | 72 | | 2 | 16 | | 3 | 11 | | 4 | 15 | | 5 | 17 | | 6 | 36 | | 7 | 19 | | 8 | 1 | | 9 | 62 | | 10 | 33 | | 11 | 9 | | 12 | 69 | | 13 | 35 | | 14 | 43 | | 15 | 3 | | 16 | 41 | | 17 | 21 | | 18 | 43 | | 19 | 14 | | 20 | 33 | | 21 | 20 | | 22 | 25 | | 23 | 39 | | 24 | 19 | | 25 | 33 | | 26 | 15 | | 27 | 27 | | 28 | 49 | | 29 | 9 | | 30 | 54 | | 31 | 43 | | 32 | 17 | | 33 | 6 | | 34 | 64 | | 35 | 35 | | 36 | 25 | | 37 | 63 | | 38 | 61 | | 39 | 18 | | 40 | 48 | | 41 | 38 | | 42 | 24 | | 43 | 12 | | 44 | 15 | | 45 | 46 | | 46 | 22 | | 47 | 16 | | 48 | 12 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 151 | | matches | | |
| 55.39% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 98 | | ratio | 0.031 | | matches | | 0 | "The scent of sweet and sour pork still clung to her wool jumper—a souvenir from her afternoon shift at the Golden Empress—mingling with the stale Guinness and floor wax of Silas’ establishment." | | 1 | "Silas gave Rory a slow blink—the universal signal for *do I throw him out?*—before Rory shook her head a fraction of an inch." | | 2 | "She placed both hands flat on the counter, leaning in until she could smell his cologne—sandalwood and something metallic." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 543 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.022099447513812154 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003683241252302026 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 15.53 | | std | 8.87 | | cv | 0.571 | | sampleLengths | | 0 | 24 | | 1 | 15 | | 2 | 32 | | 3 | 9 | | 4 | 18 | | 5 | 16 | | 6 | 29 | | 7 | 9 | | 8 | 7 | | 9 | 11 | | 10 | 15 | | 11 | 17 | | 12 | 3 | | 13 | 33 | | 14 | 4 | | 15 | 15 | | 16 | 1 | | 17 | 21 | | 18 | 18 | | 19 | 12 | | 20 | 11 | | 21 | 10 | | 22 | 23 | | 23 | 9 | | 24 | 13 | | 25 | 26 | | 26 | 23 | | 27 | 7 | | 28 | 22 | | 29 | 13 | | 30 | 29 | | 31 | 14 | | 32 | 3 | | 33 | 9 | | 34 | 11 | | 35 | 14 | | 36 | 7 | | 37 | 4 | | 38 | 17 | | 39 | 43 | | 40 | 14 | | 41 | 16 | | 42 | 17 | | 43 | 4 | | 44 | 16 | | 45 | 25 | | 46 | 30 | | 47 | 9 | | 48 | 7 | | 49 | 12 |
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| 56.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3673469387755102 | | totalSentences | 98 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 90.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 71 | | matches | | 0 | "His left knee clicked against" | | 1 | "He didn't look at Rory," | | 2 | "Her bright blue eyes locked" | | 3 | "His hair, once a bird's" | | 4 | "She leaned her hip against" | | 5 | "He looked at the row" | | 6 | "Her fingers were red at" | | 7 | "She poured the amber liquid," | | 8 | "She slid the glass across" | | 9 | "He watched her face, tracing" | | 10 | "She picked up a lemon" | | 11 | "He looked down into his" | | 12 | "She placed both hands flat" | | 13 | "He reached into his coat" | | 14 | "His hands, manicured and soft," | | 15 | "She pulled out a five" | | 16 | "He limped behind the counter," | | 17 | "He didn't look at Liam," | | 18 | "He left the change on" | | 19 | "She picked up the paring" |
| | ratio | 0.324 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 71 | | matches | | 0 | "Rory wiped down the mahogany" | | 1 | "The scent of sweet and" | | 2 | "His left knee clicked against" | | 3 | "The silver signet ring on" | | 4 | "He didn't look at Rory," | | 5 | "The bell above the door" | | 6 | "Soho rain blew in, sharp" | | 7 | "Rory didn't look up from" | | 8 | "The rag stopped." | | 9 | "The voice was deeper than" | | 10 | "Rory lifted her head." | | 11 | "Her bright blue eyes locked" | | 12 | "The man standing under the" | | 13 | "His hair, once a bird's" | | 14 | "A gold Patek Philippe peeked" | | 15 | "Rory tossed the rag into" | | 16 | "She leaned her hip against" | | 17 | "Liam stepped up to the" | | 18 | "He looked at the row" | | 19 | "Silas gave Rory a slow" |
| | ratio | 0.93 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 89.29% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 3 | | matches | | 0 | "He didn't look at Rory, yet he missed nothing, his hazel eyes scanning the framed maps of pre-war Europe and monochrome photographs of forgotten men that lined …" | | 1 | "The polished barrister veneer cracked, revealing the twenty-year-old boy who used to hide behind textbooks." | | 2 | "Liam stood there for a beat, the green neon washing the healthy colour from his face, leaving him looking hollow beneath the expensive wool." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "Liam said, his voice dropping an octave, tight and serrated" | | 1 | "Rory pulled, her thumb unconsciously rubbing the crescent scar on her wrist" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.194 | | leniency | 0.389 | | rawRatio | 0 | | effectiveRatio | 0 | |