| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "The single word felt too [too]" | | 1 | "he said quietly [quietly]" |
| | dialogueSentences | 29 | | tagDensity | 0.483 | | leniency | 0.966 | | rawRatio | 0.143 | | effectiveRatio | 0.138 | |
| 96.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1348 | | totalAiIsmAdverbs | 1 | | 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) | |
| 48.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1348 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "reminder" | | 1 | "resolve" | | 2 | "etched" | | 3 | "unravel" | | 4 | "weight" | | 5 | "familiar" | | 6 | "sanctuary" | | 7 | "unwavering" | | 8 | "warmth" | | 9 | "unraveling" | | 10 | "tension" | | 11 | "unspoken" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "the weight of his words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 105 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1338 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1185 | | uniqueNames | 12 | | maxNameDensity | 0.84 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Blackwood | 2 | | Nest | 1 | | Tuesday | 1 | | Prague | 2 | | Cardiff | 1 | | Scotch | 1 | | Silas | 10 | | Eva | 1 | | London | 1 | | Aurora | 1 | | Bristol | 1 | | Evan | 1 |
| | persons | | 0 | "Blackwood" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Eva" | | 4 | "Aurora" | | 5 | "Evan" |
| | places | | 0 | "Prague" | | 1 | "Cardiff" | | 2 | "London" | | 3 | "Bristol" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | 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 | 1338 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 119 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 39.35 | | std | 22.87 | | cv | 0.581 | | sampleLengths | | 0 | 99 | | 1 | 73 | | 2 | 48 | | 3 | 25 | | 4 | 35 | | 5 | 28 | | 6 | 29 | | 7 | 50 | | 8 | 26 | | 9 | 42 | | 10 | 40 | | 11 | 14 | | 12 | 58 | | 13 | 37 | | 14 | 41 | | 15 | 11 | | 16 | 56 | | 17 | 45 | | 18 | 6 | | 19 | 21 | | 20 | 52 | | 21 | 24 | | 22 | 10 | | 23 | 79 | | 24 | 15 | | 25 | 15 | | 26 | 11 | | 27 | 62 | | 28 | 80 | | 29 | 67 | | 30 | 23 | | 31 | 53 | | 32 | 18 | | 33 | 45 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 221 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 2 | | flaggedSentences | 14 | | totalSentences | 119 | | ratio | 0.118 | | matches | | 0 | "The low hum of jazz mingled with the hiss of the boiler and the clink of glasses as the few late–night regulars nursed their drinks in shadowed booths." | | 1 | "It was a quiet Tuesday, the kind he preferred—no questions to answer, no crises to manage." | | 2 | "A gust of wind rattled the door; he looked up reflexively." | | 3 | "Even from behind, he recognized the straight black hair brushing her shoulders, the posture—chin tilted upward as though she were challenging the world to say her name." | | 4 | "It sounded too young, too light—like the woman he remembered in Cardiff." | | 5 | "Her voice had grown huskier, threaded with something he couldn’t name—loss, perhaps, or hard-earned resolve." | | 6 | "“Aurora.” The single word felt too modest; years of conversations, of shared confidences buried beneath it." | | 7 | "Her wrist—he glimpsed the pale crescent scar, the one she’d tried to hide all those years." | | 8 | "She looked gaunter, sharper—less child and more warrior." | | 9 | "He’d offered her a room above the bar, steady work—anything to ground her." | | 10 | "Silas felt the old familiar hum—danger, duty, the call of the impossible." | | 11 | "The bar’s warmth seemed to gather around them—old photographs and maps lined the walls, each one a memory or a mission left behind." | | 12 | "She was beautiful in that hard way—like a blade forged in too-hot fire." | | 13 | "The room seemed to exhale around them—as if the maps on the walls, the ghosts of his past, all leaned closer to listen." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1197 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03007518796992481 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006683375104427736 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 11.24 | | std | 6.19 | | cv | 0.55 | | sampleLengths | | 0 | 23 | | 1 | 18 | | 2 | 28 | | 3 | 16 | | 4 | 14 | | 5 | 11 | | 6 | 7 | | 7 | 6 | | 8 | 13 | | 9 | 27 | | 10 | 9 | | 11 | 10 | | 12 | 9 | | 13 | 8 | | 14 | 17 | | 15 | 4 | | 16 | 13 | | 17 | 12 | | 18 | 6 | | 19 | 15 | | 20 | 14 | | 21 | 3 | | 22 | 15 | | 23 | 6 | | 24 | 4 | | 25 | 5 | | 26 | 16 | | 27 | 7 | | 28 | 1 | | 29 | 12 | | 30 | 14 | | 31 | 12 | | 32 | 12 | | 33 | 10 | | 34 | 16 | | 35 | 5 | | 36 | 21 | | 37 | 7 | | 38 | 9 | | 39 | 10 | | 40 | 16 | | 41 | 14 | | 42 | 12 | | 43 | 2 | | 44 | 3 | | 45 | 11 | | 46 | 24 | | 47 | 12 | | 48 | 8 | | 49 | 9 |
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| 49.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3277310924369748 | | totalSentences | 119 | | uniqueOpeners | 39 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 98 | | matches | | 0 | "Bright blue met hazel, and" | | 1 | "Only Only he." |
| | ratio | 0.02 | |
| 3.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 98 | | matches | | 0 | "It was a quiet Tuesday," | | 1 | "He liked the company of" | | 2 | "She paused in the threshold," | | 3 | "His heart thudded out a" | | 4 | "She peeled off her coat," | | 5 | "He cleared his throat." | | 6 | "He said the name slowly," | | 7 | "It sounded too young, too" | | 8 | "She turned, and their eyes" | | 9 | "Her voice had grown huskier," | | 10 | "She hadn’t said in ages." | | 11 | "He set the rag aside." | | 12 | "He gestured to the stool" | | 13 | "She dropped onto the stool," | | 14 | "He slid a glass across" | | 15 | "She nodded, lifting the glass" | | 16 | "she said, voice low" | | 17 | "He leaned forward, hands clasped." | | 18 | "He stopped himself" | | 19 | "She set the glass down," |
| | ratio | 0.541 | |
| 46.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 98 | | matches | | 0 | "Silas Blackwood polished the wooden" | | 1 | "The low hum of jazz" | | 2 | "It was a quiet Tuesday," | | 3 | "He liked the company of" | | 4 | "A gust of wind rattled" | | 5 | "The bell above the entrance" | | 6 | "Steam curled off a stranger’s" | | 7 | "She paused in the threshold," | | 8 | "His heart thudded out a" | | 9 | "She peeled off her coat," | | 10 | "The neon cast emerald highlights" | | 11 | "Silas shuffled around the bar," | | 12 | "He cleared his throat." | | 13 | "He said the name slowly," | | 14 | "It sounded too young, too" | | 15 | "She turned, and their eyes" | | 16 | "Her voice had grown huskier," | | 17 | "She hadn’t said in ages." | | 18 | "He set the rag aside." | | 19 | "The single word felt too" |
| | ratio | 0.827 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 98 | | matches | | 0 | "Even from behind, he recognized" | | 1 | "Now she fidgeted with the" |
| | ratio | 0.02 | |
| 92.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 4 | | matches | | 0 | "Outside, the rain fell in steady sheets, hammering the green neon sign that buzzed above the Nest’s entrance." | | 1 | "Even from behind, he recognized the straight black hair brushing her shoulders, the posture—chin tilted upward as though she were challenging the world to say h…" | | 2 | "She closed her eyes for a heartbeat, as though the weight of his words grazed too close to something raw." | | 3 | "He remembered the frightened girl who’d shown up on Eva’s doorstep months ago, bruised and uncertain." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, voice low" | | 1 | "she said, but her voice cracked on the words" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 29 | | tagDensity | 0.345 | | leniency | 0.69 | | rawRatio | 0.1 | | effectiveRatio | 0.069 | |