| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 65 | | tagDensity | 0.338 | | leniency | 0.677 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1388 | | 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) | |
| 63.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1388 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "throbbed" | | 1 | "measured" | | 2 | "footsteps" | | 3 | "navigate" | | 4 | "parameters" | | 5 | "flickered" | | 6 | "traced" | | 7 | "warmth" | | 8 | "potential" |
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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 | 99 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 99 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1366 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 871 | | uniqueNames | 10 | | maxNameDensity | 1.15 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Silas | 7 | | Aurora | 10 | | Prague | 2 | | Nest | 1 | | Eva | 2 | | London | 1 | | Rory | 1 | | Brendan | 2 | | Carter | 2 | | Service | 2 |
| | persons | | 0 | "Silas" | | 1 | "Aurora" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Brendan" | | 5 | "Carter" |
| | places | | 0 | "Prague" | | 1 | "London" | | 2 | "Service" |
| | globalScore | 0.926 | | windowScore | 0.833 | |
| 20.69% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed narrower somehow, more compact" | | 1 | "looked like the recruits he'd seen wash o" | | 2 | "not quite surrender, but an acknowledgment" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.732 | | wordCount | 1366 | | matches | | 0 | "not quite surrender, but an acknowledgment" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 142 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 21.02 | | std | 16.21 | | cv | 0.771 | | sampleLengths | | 0 | 7 | | 1 | 42 | | 2 | 60 | | 3 | 9 | | 4 | 9 | | 5 | 34 | | 6 | 38 | | 7 | 15 | | 8 | 6 | | 9 | 52 | | 10 | 49 | | 11 | 4 | | 12 | 11 | | 13 | 34 | | 14 | 5 | | 15 | 12 | | 16 | 7 | | 17 | 16 | | 18 | 43 | | 19 | 15 | | 20 | 7 | | 21 | 23 | | 22 | 40 | | 23 | 4 | | 24 | 34 | | 25 | 3 | | 26 | 50 | | 27 | 34 | | 28 | 3 | | 29 | 49 | | 30 | 2 | | 31 | 31 | | 32 | 34 | | 33 | 3 | | 34 | 33 | | 35 | 45 | | 36 | 11 | | 37 | 21 | | 38 | 3 | | 39 | 59 | | 40 | 39 | | 41 | 19 | | 42 | 2 | | 43 | 16 | | 44 | 27 | | 45 | 34 | | 46 | 21 | | 47 | 15 | | 48 | 10 | | 49 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 170 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 142 | | ratio | 0.077 | | matches | | 0 | "Time stopped in the space between Silas catching it—his reflexes still sharp despite the years—and him setting it carefully on the bar." | | 1 | "But it was her eyes that made him pause mid-polish of the glass—those bright blue eyes that once sparked with mischief now held something darker, something that reminded him of men he'd known in Prague." | | 2 | "His knee throbbed—it always did when something surprised him, as if his body kept score of every shock." | | 3 | "The ritual of it bought him time—hot water from the espresso machine, honey from the squeeze bottle, lemon juice, clove." | | 4 | "Time blurred when you ran a bar—days bled together, marked only by regulars and their orders." | | 5 | "The bar was empty—too early for the evening crowd, too late for the lunch stragglers." | | 6 | "Silas remembered Brendan Carter from the few times Aurora had mentioned him—a man who measured worth in achievements and saw failure as a moral weakness." | | 7 | "\"Isn't it?\" She met his eyes, and there it was—the thing that made her a stranger." | | 8 | "She looked like the recruits he'd seen wash out of training—the ones who'd wanted to change the world and found it unchanged by their wanting." | | 9 | "Poured two fingers of whisky—the good stuff, the bottle he kept for himself and the rare few who'd earned it." | | 10 | "Something shifted in her expression—not quite surrender, but an acknowledgment." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 888 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.038288288288288286 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006756756756756757 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 9.62 | | std | 7.6 | | cv | 0.79 | | sampleLengths | | 0 | 7 | | 1 | 22 | | 2 | 20 | | 3 | 4 | | 4 | 9 | | 5 | 12 | | 6 | 35 | | 7 | 9 | | 8 | 3 | | 9 | 4 | | 10 | 2 | | 11 | 16 | | 12 | 18 | | 13 | 27 | | 14 | 11 | | 15 | 13 | | 16 | 2 | | 17 | 6 | | 18 | 8 | | 19 | 17 | | 20 | 20 | | 21 | 7 | | 22 | 6 | | 23 | 2 | | 24 | 16 | | 25 | 17 | | 26 | 2 | | 27 | 6 | | 28 | 4 | | 29 | 7 | | 30 | 3 | | 31 | 1 | | 32 | 8 | | 33 | 19 | | 34 | 5 | | 35 | 2 | | 36 | 5 | | 37 | 8 | | 38 | 4 | | 39 | 7 | | 40 | 11 | | 41 | 5 | | 42 | 13 | | 43 | 15 | | 44 | 11 | | 45 | 4 | | 46 | 7 | | 47 | 8 | | 48 | 7 | | 49 | 8 |
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| 74.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4788732394366197 | | totalSentences | 142 | | uniqueOpeners | 68 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 89 | | matches | | 0 | "Once, twice, stopped." | | 1 | "At least that hadn't changed." | | 2 | "Just them and the ghosts" | | 3 | "Then at the whisky." | | 4 | "Then back at him." |
| | ratio | 0.056 | |
| 67.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 89 | | matches | | 0 | "She'd cut her hair." | | 1 | "He set down the glass," | | 2 | "His knee throbbed—it always did" | | 3 | "She crossed to the bar" | | 4 | "He reached for the bottle" | | 5 | "He poured anyway, measuring out" | | 6 | "His hands moved while his" | | 7 | "She'd left London three years" | | 8 | "He'd known better than to" | | 9 | "He slid the toddy across" | | 10 | "She wrapped both hands around" | | 11 | "She took a long drink," | | 12 | "He leaned against the back" | | 13 | "She stared into her glass" | | 14 | "He let the word hang" | | 15 | "Her voice went flat" | | 16 | "She took another drink." | | 17 | "She picked at the lemon" | | 18 | "He'd written enough of them" | | 19 | "She met his eyes, and" |
| | ratio | 0.382 | |
| 94.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 89 | | matches | | 0 | "The pint glass slipped through" | | 1 | "Time stopped in the space" | | 2 | "She'd cut her hair." | | 3 | "The leather jacket hung off" | | 4 | "The word escaped before he" | | 5 | "Aurora's mouth twisted." | | 6 | "He set down the glass," | | 7 | "His knee throbbed—it always did" | | 8 | "She crossed to the bar" | | 9 | "He reached for the bottle" | | 10 | "The edge in her voice" | | 11 | "He poured anyway, measuring out" | | 12 | "The ritual of it bought" | | 13 | "His hands moved while his" | | 14 | "She'd left London three years" | | 15 | "Time blurred when you ran" | | 16 | "He'd known better than to" | | 17 | "Aurora's fingers drummed against the" | | 18 | "He slid the toddy across" | | 19 | "She wrapped both hands around" |
| | ratio | 0.73 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "But it was her eyes that made him pause mid-polish of the glass—those bright blue eyes that once sparked with mischief now held something darker, something that…" | | 1 | "His knee throbbed—it always did when something surprised him, as if his body kept score of every shock." | | 2 | "Silas remembered Brendan Carter from the few times Aurora had mentioned him—a man who measured worth in achievements and saw failure as a moral weakness." | | 3 | "This woman who'd learned too young that good intentions weren't armor against the world's indifference." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 65 | | tagDensity | 0.062 | | leniency | 0.123 | | rawRatio | 0.25 | | effectiveRatio | 0.031 | |