| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said simply [simply]" | | 1 | "she asked quietly [quietly]" |
| | dialogueSentences | 29 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0.2 | | effectiveRatio | 0.138 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 659 | | 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) | |
| 1.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 659 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "scanned" | | 1 | "flickered" | | 2 | "silence" | | 3 | "reminder" | | 4 | "unravel" | | 5 | "flicked" | | 6 | "whisper" | | 7 | "traced" | | 8 | "pulse" | | 9 | "thundered" | | 10 | "weight" | | 11 | "footsteps" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 40 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 40 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 661 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 498 | | uniqueNames | 9 | | maxNameDensity | 0.8 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Nest | 1 | | Aurora | 2 | | Silas | 4 | | Venetian | 1 | | Cool-Headed | 1 | | Cardiff | 1 | | London | 1 | | Rory | 3 |
| | persons | | 0 | "Carter" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Silas" | | 4 | "Rory" |
| | places | | 0 | "Venetian" | | 1 | "Cardiff" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 48.71% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.513 | | wordCount | 661 | | matches | | 0 | "not prying but observing, the way only an old spymaster could" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 15.74 | | std | 12.04 | | cv | 0.765 | | sampleLengths | | 0 | 33 | | 1 | 56 | | 2 | 9 | | 3 | 7 | | 4 | 18 | | 5 | 46 | | 6 | 13 | | 7 | 31 | | 8 | 15 | | 9 | 14 | | 10 | 9 | | 11 | 6 | | 12 | 20 | | 13 | 16 | | 14 | 7 | | 15 | 14 | | 16 | 10 | | 17 | 37 | | 18 | 24 | | 19 | 25 | | 20 | 10 | | 21 | 12 | | 22 | 5 | | 23 | 10 | | 24 | 12 | | 25 | 12 | | 26 | 5 | | 27 | 5 | | 28 | 17 | | 29 | 10 | | 30 | 14 | | 31 | 2 | | 32 | 9 | | 33 | 3 | | 34 | 22 | | 35 | 17 | | 36 | 9 | | 37 | 2 | | 38 | 37 | | 39 | 7 | | 40 | 3 | | 41 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 40 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 97 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 59 | | ratio | 0.051 | | matches | | 0 | "She scanned the weathered face — the grey-streaked auburn hair, neatly trimmed beard, the slight limp in the left leg — and despite the years blurred by, the recognition struck hard and fast." | | 1 | "The old energy surged — sharp, unforgiving." | | 2 | "The door banged open — a blast of cold London air spilling in — followed by footsteps too quick, too urgent to be coincidence." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 496 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 19 | | adverbRatio | 0.038306451612903226 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.018145161290322582 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 11.2 | | std | 6.91 | | cv | 0.617 | | sampleLengths | | 0 | 15 | | 1 | 18 | | 2 | 5 | | 3 | 6 | | 4 | 12 | | 5 | 33 | | 6 | 9 | | 7 | 7 | | 8 | 18 | | 9 | 18 | | 10 | 28 | | 11 | 12 | | 12 | 1 | | 13 | 16 | | 14 | 15 | | 15 | 15 | | 16 | 5 | | 17 | 9 | | 18 | 9 | | 19 | 6 | | 20 | 20 | | 21 | 16 | | 22 | 4 | | 23 | 3 | | 24 | 14 | | 25 | 10 | | 26 | 12 | | 27 | 25 | | 28 | 10 | | 29 | 14 | | 30 | 14 | | 31 | 11 | | 32 | 10 | | 33 | 12 | | 34 | 5 | | 35 | 10 | | 36 | 12 | | 37 | 12 | | 38 | 5 | | 39 | 5 | | 40 | 3 | | 41 | 14 | | 42 | 10 | | 43 | 4 | | 44 | 10 | | 45 | 2 | | 46 | 9 | | 47 | 3 | | 48 | 3 | | 49 | 7 |
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| 81.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4915254237288136 | | totalSentences | 59 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 40 | | matches | | 0 | "She scanned the weathered face" | | 1 | "She said the name like" | | 2 | "she said, voice low and" | | 3 | "he muttered with a crooked" | | 4 | "He laughed, low and rough." | | 5 | "They both stared past each" | | 6 | "His voice was gruff, weighing" | | 7 | "she said simply" | | 8 | "She leaned forward, voice dropping" | | 9 | "he said, eyes flickering to" | | 10 | "She pushed the sleeve up" | | 11 | "she asked quietly, voice barely" | | 12 | "He traced the rim of" | | 13 | "She stood abruptly." | | 14 | "Her voice was steady, but" | | 15 | "He reached out, steadying her" |
| | ratio | 0.4 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 40 | | matches | | 0 | "The voice carved through the" | | 1 | "A man lounged against the" | | 2 | "Aurora Carter’s head snapped up." | | 3 | "Hazel eyes narrowed, brows pulling" | | 4 | "She scanned the weathered face" | | 5 | "She said the name like" | | 6 | "The green neon sign outside" | | 7 | "she said, voice low and" | | 8 | "The Nest had changed little" | | 9 | "he muttered with a crooked" | | 10 | "Aurora flexed her left wrist," | | 11 | "The pain once dull had" | | 12 | "He laughed, low and rough." | | 13 | "They both stared past each" | | 14 | "His voice was gruff, weighing" | | 15 | "she said simply" | | 16 | "Silas’s gaze sharpened, not prying" | | 17 | "A silence stretched, the kind" | | 18 | "Rory’s bright blue eyes flicked" | | 19 | "She leaned forward, voice dropping" |
| | ratio | 0.925 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 1 | | matches | | 0 | "A silence stretched, the kind that can unravel decades if left unchecked." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 4 | | matches | | 0 | "she said, voice low and even, sliding onto the stool beside him" | | 1 | "She leaned, voice dropping to a secret" | | 2 | "he said, eyes flickering to the hidden bookshelves lining the back wall" | | 3 | "she asked quietly, voice barely a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 29 | | tagDensity | 0.207 | | leniency | 0.414 | | rawRatio | 0.167 | | effectiveRatio | 0.069 | |