| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "She laughed once [once]" | | 1 | "he said slowly [slowly]" |
| | dialogueSentences | 59 | | tagDensity | 0.254 | | leniency | 0.508 | | rawRatio | 0.133 | | effectiveRatio | 0.068 | |
| 87.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1663 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "very" | | 3 | "carefully" |
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| 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) | |
| 60.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1663 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "familiar" | | 1 | "tension" | | 2 | "measured" | | 3 | "warmth" | | 4 | "flicker" | | 5 | "pulse" | | 6 | "traced" | | 7 | "comfortable" | | 8 | "silence" | | 9 | "weight" | | 10 | "etching" |
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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 | 143 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 143 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 187 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 5 | | totalWords | 1646 | | ratio | 0.003 | | matches | | 0 | "thud" | | 1 | "Just talk" | | 2 | "click" | | 3 | "all" |
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| 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 | 50 | | wordCount | 1296 | | uniqueNames | 18 | | maxNameDensity | 1.31 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 1 | | Sarajevo | 1 | | Islamabad | 1 | | Kabul | 1 | | Prague | 1 | | Rory | 10 | | Cyrillic | 1 | | Cardiff | 2 | | Silas | 17 | | Evan | 1 | | Acton | 1 | | Lane | 1 | | Balkans | 1 | | Cold | 1 | | Like | 5 | | Eva | 3 |
| | persons | | 0 | "Nest" | | 1 | "Rory" | | 2 | "Silas" | | 3 | "Evan" | | 4 | "Eva" |
| | places | | 0 | "Raven" | | 1 | "London" | | 2 | "Sarajevo" | | 3 | "Islamabad" | | 4 | "Kabul" | | 5 | "Prague" | | 6 | "Cardiff" | | 7 | "Acton" | | 8 | "Lane" | | 9 | "Balkans" | | 10 | "Like" |
| | globalScore | 0.844 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1646 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 187 | | matches | | 0 | "knew that tell" | | 1 | "sounded that brittle" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 19.83 | | std | 18.94 | | cv | 0.955 | | sampleLengths | | 0 | 60 | | 1 | 8 | | 2 | 94 | | 3 | 6 | | 4 | 75 | | 5 | 3 | | 6 | 57 | | 7 | 5 | | 8 | 10 | | 9 | 25 | | 10 | 4 | | 11 | 18 | | 12 | 51 | | 13 | 6 | | 14 | 15 | | 15 | 7 | | 16 | 4 | | 17 | 48 | | 18 | 4 | | 19 | 61 | | 20 | 19 | | 21 | 2 | | 22 | 29 | | 23 | 56 | | 24 | 4 | | 25 | 7 | | 26 | 28 | | 27 | 11 | | 28 | 8 | | 29 | 4 | | 30 | 4 | | 31 | 41 | | 32 | 11 | | 33 | 45 | | 34 | 3 | | 35 | 55 | | 36 | 10 | | 37 | 3 | | 38 | 29 | | 39 | 37 | | 40 | 5 | | 41 | 15 | | 42 | 1 | | 43 | 24 | | 44 | 2 | | 45 | 4 | | 46 | 5 | | 47 | 17 | | 48 | 52 | | 49 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 143 | | matches | | 0 | "were made" | | 1 | "were collected" | | 2 | "was coiled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 226 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 187 | | ratio | 0.059 | | matches | | 0 | "The low ceiling pressed down like the lid of a casket, the walls lined with maps of places most people only dreamed about—Sarajevo, Islamabad, a grid of Kabul before the bombs." | | 1 | "Not dramatically—no gasps, no table flipping—but in the slow arch of his eyebrows, the faintest tension around his mouth." | | 2 | "It was the way the room tilted, the way the past didn’t knock—it walked straight in with keys on a fob and sat down like it owned the stool." | | 3 | "The silver sigil—something Cyrillic, something cipher—gleamed as he finally reached for the bottle." | | 4 | "The burn was familiar—the kind that starts in the throat and ends in the sinuses, the kind that never leaves your tongue clean." | | 5 | "Tiny, almost invisible—but she saw it." | | 6 | "\"No?\" He leaned on the counter, the signet ring catching the neon glow—green for alcohol, red for danger, the shadows deepening the lines in his face." | | 7 | "Like a sniper’s eye in the scope—control, control—then gone." | | 8 | "It was the same one the agents in Cardiff used when they touched their earpieces—people about to disappear behind protocol." | | 9 | "\"—the spider bites back.\" Her voice was steel." | | 10 | "Tommy signed off with a symbol—three circles intersecting." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 996 | | adjectiveStacks | 1 | | stackExamples | | 0 | "beneath nicotine-stained ceilings." |
| | adverbCount | 38 | | adverbRatio | 0.03815261044176707 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009036144578313253 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 187 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 187 | | mean | 8.8 | | std | 7.67 | | cv | 0.871 | | sampleLengths | | 0 | 30 | | 1 | 30 | | 2 | 6 | | 3 | 2 | | 4 | 31 | | 5 | 16 | | 6 | 11 | | 7 | 36 | | 8 | 6 | | 9 | 28 | | 10 | 26 | | 11 | 21 | | 12 | 3 | | 13 | 2 | | 14 | 19 | | 15 | 3 | | 16 | 4 | | 17 | 29 | | 18 | 5 | | 19 | 7 | | 20 | 3 | | 21 | 2 | | 22 | 3 | | 23 | 2 | | 24 | 4 | | 25 | 14 | | 26 | 3 | | 27 | 1 | | 28 | 6 | | 29 | 12 | | 30 | 15 | | 31 | 19 | | 32 | 17 | | 33 | 3 | | 34 | 3 | | 35 | 10 | | 36 | 5 | | 37 | 5 | | 38 | 2 | | 39 | 4 | | 40 | 10 | | 41 | 13 | | 42 | 9 | | 43 | 16 | | 44 | 4 | | 45 | 23 | | 46 | 5 | | 47 | 19 | | 48 | 14 | | 49 | 10 |
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| 50.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.34759358288770054 | | totalSentences | 187 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 120 | | matches | | 0 | "Then her gaze landed on" | | 1 | "Just studied her." | | 2 | "Just for a second." | | 3 | "Then she walked out." |
| | ratio | 0.033 | |
| 63.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 120 | | matches | | 0 | "She didn’t go to the" | | 1 | "His auburn hair, once dark" | | 2 | "He carried a slight limp" | | 3 | "He looked up." | | 4 | "Her breath hitched." | | 5 | "It was the way the" | | 6 | "he said, voice low, measured" | | 7 | "She should answer." | | 8 | "He didn’t reach for the" | | 9 | "Her coat whispered as she" | | 10 | "She folded the coat over" | | 11 | "She caught the flicker of" | | 12 | "He poured two fingers, slid" | | 13 | "She tossed it back." | | 14 | "It tasted like Cardiff winters." | | 15 | "He poured another for himself," | | 16 | "His fingers tapped the counter" | | 17 | "She traced the rim of" | | 18 | "She’d thought she’d escaped him." | | 19 | "She nodded toward the back" |
| | ratio | 0.392 | |
| 68.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 94 | | totalSentences | 120 | | matches | | 0 | "Thedoor to The Raven’s Nest" | | 1 | "Rory paused just inside, her" | | 2 | "She didn’t go to the" | | 3 | "The low ceiling pressed down" | | 4 | "The air smelled of spilt" | | 5 | "A man laughed too loudly" | | 6 | "Rory kept her hands loose" | | 7 | "Silas stood behind the counter" | | 8 | "His auburn hair, once dark" | | 9 | "He carried a slight limp" | | 10 | "He looked up." | | 11 | "Her breath hitched." | | 12 | "History wasn’t just memory." | | 13 | "It was the way the" | | 14 | "Silas set the glass down." | | 15 | "he said, voice low, measured" | | 16 | "She should answer." | | 17 | "He didn’t reach for the" | | 18 | "Her coat whispered as she" | | 19 | "She folded the coat over" |
| | ratio | 0.783 | |
| 41.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 120 | | matches | | 0 | "Because pride wasn’t something Silas" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 2 | | matches | | 0 | "Thedoor to The Raven’s Nest opened before it quite reached the snub of its brass latch, the green neon sign above it flickering as if unsure whether to stay lit…" | | 1 | "Silas stood behind the counter as if he’d never left, the silver signet ring on his right hand catching the dim light each time he polished a glass." |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice low, measured" | | 1 | "His fingers tapped, twice" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "She laughed once (laugh)" |
| | dialogueSentences | 59 | | tagDensity | 0.119 | | leniency | 0.237 | | rawRatio | 0.286 | | effectiveRatio | 0.068 | |