| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 29 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 66 | | tagDensity | 0.439 | | leniency | 0.879 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1770 | | 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) | |
| 63.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1770 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "shattered" | | 1 | "crystal" | | 2 | "rhythmic" | | 3 | "familiar" | | 4 | "chaotic" | | 5 | "scanning" | | 6 | "pulse" | | 7 | "flicker" | | 8 | "whisper" | | 9 | "throbbed" | | 10 | "silence" | | 11 | "traced" | | 12 | "gloom" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "without second thought" | | count | 1 |
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| | highlights | | 0 | "without a second thought" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 113 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | 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 | 1 | | markdownWords | 4 | | totalWords | 1755 | | ratio | 0.002 | | matches | | 0 | "Evan Davies, Senior Partner." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1092 | | uniqueNames | 10 | | maxNameDensity | 1.56 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 3 | | Evan | 12 | | Silas | 17 | | Scotch | 1 | | Davies | 1 | | Senior | 1 | | London | 1 | | Cardiff | 1 | | Soho | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Evan" | | 3 | "Silas" | | 4 | "Davies" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Soho" |
| | globalScore | 0.722 | | windowScore | 0.5 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 3 | | matches | | 0 | "tasted like copper and old ash" | | 1 | "looked like he’d never broken a single bo" | | 2 | "sounded like a scream" |
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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 | 1755 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 149 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 28.31 | | std | 16.48 | | cv | 0.582 | | sampleLengths | | 0 | 13 | | 1 | 50 | | 2 | 55 | | 3 | 1 | | 4 | 70 | | 5 | 12 | | 6 | 41 | | 7 | 55 | | 8 | 14 | | 9 | 23 | | 10 | 45 | | 11 | 46 | | 12 | 19 | | 13 | 10 | | 14 | 27 | | 15 | 66 | | 16 | 23 | | 17 | 14 | | 18 | 11 | | 19 | 47 | | 20 | 41 | | 21 | 5 | | 22 | 71 | | 23 | 9 | | 24 | 19 | | 25 | 20 | | 26 | 34 | | 27 | 5 | | 28 | 44 | | 29 | 40 | | 30 | 30 | | 31 | 21 | | 32 | 38 | | 33 | 34 | | 34 | 37 | | 35 | 32 | | 36 | 27 | | 37 | 17 | | 38 | 16 | | 39 | 11 | | 40 | 31 | | 41 | 18 | | 42 | 28 | | 43 | 45 | | 44 | 36 | | 45 | 17 | | 46 | 36 | | 47 | 10 | | 48 | 28 | | 49 | 24 |
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| 99.05% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 113 | | matches | | 0 | "was slicked" | | 1 | "being found" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 203 | | matches | | 0 | "was shaking" | | 1 | "was measuring" | | 2 | "was hiding" |
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| 27.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 149 | | ratio | 0.04 | | matches | | 0 | "He didn't move to help me; he was measuring the threat." | | 1 | "It was the same smile—the one that used to make me feel like I was the only person in the room before it made me feel like I was a person who didn't exist at all." | | 2 | "A flicker of the old, volatile temper sparked in his eyes—the heat that used to precede the breaking of plates—but he smothered it under a layer of corporate poise." | | 3 | "I thought of the night I’d left—the rain on the M4, the terror that he was in the car behind me, the way my wrist had throbbed where he’d gripped it." | | 4 | "That was the thing he couldn't stand—the realization that his power had a shelf life, and mine had just begun." | | 5 | "The phone on the bar began to ring—the private line, the one Silas only answered when the world was about to catch fire." |
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| 76.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1106 | | adjectiveStacks | 4 | | stackExamples | | 0 | "pale, crescent-shaped scar" | | 1 | "fresh, heavy-bottomed tumbler" | | 2 | "silent, auburn-haired mountain." | | 3 | "small, leather-bound ledger." |
| | adverbCount | 32 | | adverbRatio | 0.028933092224231464 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009041591320072333 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 11.78 | | std | 7.46 | | cv | 0.634 | | sampleLengths | | 0 | 13 | | 1 | 28 | | 2 | 22 | | 3 | 10 | | 4 | 20 | | 5 | 5 | | 6 | 20 | | 7 | 1 | | 8 | 8 | | 9 | 14 | | 10 | 14 | | 11 | 15 | | 12 | 13 | | 13 | 3 | | 14 | 3 | | 15 | 12 | | 16 | 13 | | 17 | 23 | | 18 | 5 | | 19 | 8 | | 20 | 7 | | 21 | 3 | | 22 | 22 | | 23 | 11 | | 24 | 4 | | 25 | 8 | | 26 | 6 | | 27 | 11 | | 28 | 10 | | 29 | 2 | | 30 | 14 | | 31 | 13 | | 32 | 18 | | 33 | 4 | | 34 | 7 | | 35 | 16 | | 36 | 19 | | 37 | 4 | | 38 | 15 | | 39 | 10 | | 40 | 15 | | 41 | 12 | | 42 | 20 | | 43 | 36 | | 44 | 10 | | 45 | 7 | | 46 | 16 | | 47 | 6 | | 48 | 8 | | 49 | 11 |
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| 37.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.28859060402684567 | | totalSentences | 149 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 92 | | matches | | 0 | "He wiped a stray spill" | | 1 | "I stared at the sparkling" | | 2 | "I didn’t feel the sting." | | 3 | "My eyes remained locked on" | | 4 | "He didn't look like the" | | 5 | "His hair, once a chaotic" | | 6 | "He looked polished." | | 7 | "He looked successful." | | 8 | "He looked like he’d never" | | 9 | "He stopped dead, his polished" | | 10 | "He blinked, his eyes scanning" | | 11 | "He saw the way I" | | 12 | "He saw Evan." | | 13 | "He didn't move to help" | | 14 | "I hated that he used" | | 15 | "It reminded me I was" | | 16 | "I said, my voice steadier" | | 17 | "I grabbed a napkin and" | | 18 | "He looked around at the" | | 19 | "He didn't reach out to" |
| | ratio | 0.609 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 92 | | matches | | 0 | "The glass in my hand" | | 1 | "Silas didn’t look up from" | | 2 | "He wiped a stray spill" | | 3 | "I stared at the sparkling" | | 4 | "A crimson bead of blood" | | 5 | "I didn’t feel the sting." | | 6 | "My eyes remained locked on" | | 7 | "The name tasted like copper" | | 8 | "He didn't look like the" | | 9 | "The Evan I remembered wore" | | 10 | "This man wore a charcoal-grey" | | 11 | "His hair, once a chaotic" | | 12 | "He looked polished." | | 13 | "He looked successful." | | 14 | "He looked like he’d never" | | 15 | "He stopped dead, his polished" | | 16 | "He blinked, his eyes scanning" | | 17 | "Silas muttered, finally turning" | | 18 | "He saw the way I" | | 19 | "He saw Evan." |
| | ratio | 0.978 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "This man wore a charcoal-grey wool overcoat that cost more than my flat’s annual rent." | | 1 | "A flicker of the old, volatile temper sparked in his eyes—the heat that used to precede the breaking of plates—but he smothered it under a layer of corporate po…" | | 2 | "The youth had bled out of his face, replaced by the rigid lines of someone who spent his days commanding rooms and his nights worried about being found out." | | 3 | "Across the street, a black sedan with tinted windows drifted into the curb, its headlights cutting through the Soho gloom like seeking eyes." |
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| 21.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 29 | | uselessAdditionCount | 6 | | matches | | 0 | "Silas didn’t, but his voice carried that low, sandpaper rasp that usually signalled a warning" | | 1 | "He stopped, his polished brogues skidding slightly on the sawdust-covered floor" | | 2 | "I said, my voice steadier than my pulse" | | 3 | "I said, my voice rising" | | 4 | "He reached out, his hand hovering near my arm" | | 5 | "Evan snapped, the mask finally slipping" |
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| 43.94% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 7 | | fancyTags | | 0 | "Silas muttered (mutter)" | | 1 | "Silas interrupted (interrupt)" | | 2 | "Evan insisted (insist)" | | 3 | "he whispered (whisper)" | | 4 | "I agreed (agree)" | | 5 | "Evan snapped (snap)" | | 6 | "I admitted (admit)" |
| | dialogueSentences | 66 | | tagDensity | 0.318 | | leniency | 0.636 | | rawRatio | 0.333 | | effectiveRatio | 0.212 | |