| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "Davies said dismissively [dismissively]" | | 1 | "I said softly [softly]" |
| | dialogueSentences | 49 | | tagDensity | 0.469 | | leniency | 0.939 | | rawRatio | 0.087 | | effectiveRatio | 0.082 | |
| 66.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1211 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "really" | | 1 | "sharply" | | 2 | "perfectly" | | 3 | "very" | | 4 | "softly" | | 5 | "slowly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 50.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1211 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "resonance" | | 1 | "vibrated" | | 2 | "charged" | | 3 | "familiar" | | 4 | "etched" | | 5 | "scanning" | | 6 | "traced" | | 7 | "charm" | | 8 | "flicker" | | 9 | "apprehension" | | 10 | "echoed" | | 11 | "reverberated" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1215 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 792 | | uniqueNames | 8 | | maxNameDensity | 1.52 | | worstName | "Davies" | | maxWindowNameDensity | 3 | | worstWindowName | "Davies" | | discoveredNames | | Veil | 2 | | Market | 1 | | Met | 1 | | Davies | 12 | | Compass | 1 | | Savile | 1 | | Row | 1 | | Morris | 1 |
| | persons | | | places | (empty) | | globalScore | 0.742 | | windowScore | 0.667 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "quite place" | | 1 | "It was as if the killer had simply…" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1215 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 27.61 | | std | 17.86 | | cv | 0.647 | | sampleLengths | | 0 | 44 | | 1 | 71 | | 2 | 55 | | 3 | 54 | | 4 | 24 | | 5 | 36 | | 6 | 37 | | 7 | 12 | | 8 | 42 | | 9 | 28 | | 10 | 17 | | 11 | 54 | | 12 | 5 | | 13 | 27 | | 14 | 57 | | 15 | 20 | | 16 | 58 | | 17 | 4 | | 18 | 25 | | 19 | 42 | | 20 | 5 | | 21 | 32 | | 22 | 36 | | 23 | 15 | | 24 | 32 | | 25 | 6 | | 26 | 45 | | 27 | 6 | | 28 | 53 | | 29 | 18 | | 30 | 17 | | 31 | 14 | | 32 | 14 | | 33 | 20 | | 34 | 32 | | 35 | 4 | | 36 | 48 | | 37 | 10 | | 38 | 23 | | 39 | 9 | | 40 | 19 | | 41 | 4 | | 42 | 30 | | 43 | 11 |
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| 94.18% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 95 | | matches | | 0 | "were clasped" | | 1 | "was made" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 138 | | matches | (empty) | |
| 48.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 121 | | ratio | 0.033 | | matches | | 0 | "The abandoned tube station – officially sealed off decades ago – hummed with a low thrum, a subterranean resonance that vibrated in my teeth." | | 1 | "A chalk outline marked the position of the victim – a man, mid-thirties, dressed in sharply tailored suit which now crumpled around him." | | 2 | "The suit was expensive – Savile Row, I’d wager – and immaculate." | | 3 | "I noticed something I'd missed earlier - a faint shimmering distortion in the air near the far wall, almost imperceptible in the flickering light." |
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| 82.87% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 788 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.05203045685279188 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.027918781725888325 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 10.04 | | std | 6.98 | | cv | 0.695 | | sampleLengths | | 0 | 20 | | 1 | 9 | | 2 | 15 | | 3 | 17 | | 4 | 24 | | 5 | 15 | | 6 | 5 | | 7 | 1 | | 8 | 7 | | 9 | 2 | | 10 | 3 | | 11 | 2 | | 12 | 17 | | 13 | 23 | | 14 | 5 | | 15 | 3 | | 16 | 1 | | 17 | 1 | | 18 | 16 | | 19 | 15 | | 20 | 23 | | 21 | 6 | | 22 | 11 | | 23 | 7 | | 24 | 26 | | 25 | 10 | | 26 | 17 | | 27 | 12 | | 28 | 3 | | 29 | 5 | | 30 | 12 | | 31 | 4 | | 32 | 25 | | 33 | 13 | | 34 | 5 | | 35 | 21 | | 36 | 2 | | 37 | 15 | | 38 | 2 | | 39 | 5 | | 40 | 16 | | 41 | 8 | | 42 | 12 | | 43 | 3 | | 44 | 4 | | 45 | 6 | | 46 | 5 | | 47 | 14 | | 48 | 13 | | 49 | 9 |
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| 69.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.45454545454545453 | | totalSentences | 121 | | uniqueOpeners | 55 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 80 | | matches | | 0 | "Then he spotted it, a" | | 1 | "Instead, I pulled a small," |
| | ratio | 0.025 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 80 | | matches | | 0 | "He waved a trembling hand" | | 1 | "I ducked under the yellow" | | 2 | "I hadn't believed it existed," | | 3 | "He barely glanced up from" | | 4 | "I asked, surveying the scene" | | 5 | "His eyes stared blankly at" | | 6 | "I suggested, though the feeling" | | 7 | "He held up the box" | | 8 | "I knelt, examining the box." | | 9 | "It was made of a" | | 10 | "It wasn’t just any compass." | | 11 | "I knew the legend." | | 12 | "I ignored the comment, my" | | 13 | "It was as if the" | | 14 | "I noted, my gaze fixed" | | 15 | "He ran a hand over" | | 16 | "I circled the body, careful" | | 17 | "My eyes fell on a" | | 18 | "It was thin, precise, and" | | 19 | "I crouched, examining the scratch" |
| | ratio | 0.4 | |
| 47.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 80 | | matches | | 0 | "The voice, slurred and panicked," | | 1 | "He waved a trembling hand" | | 2 | "I ducked under the yellow" | | 3 | "The abandoned tube station –" | | 4 | "The Veil Market, they called" | | 5 | "A black market for the…" | | 6 | "I hadn't believed it existed," | | 7 | "The scene was…clinical." | | 8 | "A chalk outline marked the" | | 9 | "Sergeant Davies greeted me, his" | | 10 | "He barely glanced up from" | | 11 | "I asked, surveying the scene" | | 12 | "The air felt thick, charged" | | 13 | "Davies’s tone suggested he considered" | | 14 | "The victim’s hands were clasped" | | 15 | "His eyes stared blankly at" | | 16 | "I suggested, though the feeling" | | 17 | "Davies shook his head." | | 18 | "He held up the box" | | 19 | "I knelt, examining the box." |
| | ratio | 0.825 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | 0 | "Before I could answer, a" |
| | ratio | 0.013 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 2 | | matches | | 0 | "The abandoned tube station – officially sealed off decades ago – hummed with a low thrum, a subterranean resonance that vibrated in my teeth." | | 1 | "It was made of a dark, unfamiliar wood, inlaid with symbols that felt vaguely unsettling, like distorted reflections of familiar runes." |
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| 16.30% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 5 | | matches | | 0 | "Davies confirmed, a note of scepticism in his voice" | | 1 | "He ran, the short strands sticking up at odd angles" | | 2 | "I stood, my gaze sweeping the room" | | 3 | "I walked, the low thrumming growing stronger" | | 4 | "Davies asked, his voice tight" |
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| 27.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 6 | | fancyTags | | 0 | "The voice slurred (slur)" | | 1 | "Davies’s tone suggested (suggest)" | | 2 | "I suggested (suggest)" | | 3 | "I noted (note)" | | 4 | "Davies confirmed (confirm)" | | 5 | "he muttered (mutter)" |
| | dialogueSentences | 49 | | tagDensity | 0.245 | | leniency | 0.49 | | rawRatio | 0.5 | | effectiveRatio | 0.245 | |