| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1592 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 71.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1592 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "footsteps" | | 1 | "resolve" | | 2 | "familiar" | | 3 | "weight" | | 4 | "calculating" | | 5 | "glint" | | 6 | "trembled" | | 7 | "flicker" |
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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 | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 91 | | matches | (empty) | |
| 95.76% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | | 0 | "began to" | | 1 | "seem to" | | 2 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 73 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1583 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1022 | | uniqueNames | 10 | | maxNameDensity | 2.05 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Marcus" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Thursday | 1 | | Welsh | 2 | | Silas | 21 | | Johnnie | 1 | | Walker | 1 | | Marcus | 20 | | Prague | 1 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Johnnie" | | 3 | "Walker" | | 4 | "Marcus" |
| | places | | | globalScore | 0.473 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like fire in his hand" |
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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 | 1583 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 26.83 | | std | 20.9 | | cv | 0.779 | | sampleLengths | | 0 | 80 | | 1 | 10 | | 2 | 17 | | 3 | 23 | | 4 | 21 | | 5 | 81 | | 6 | 12 | | 7 | 24 | | 8 | 25 | | 9 | 32 | | 10 | 3 | | 11 | 48 | | 12 | 29 | | 13 | 40 | | 14 | 6 | | 15 | 17 | | 16 | 1 | | 17 | 23 | | 18 | 21 | | 19 | 51 | | 20 | 6 | | 21 | 21 | | 22 | 16 | | 23 | 51 | | 24 | 14 | | 25 | 44 | | 26 | 3 | | 27 | 46 | | 28 | 22 | | 29 | 12 | | 30 | 60 | | 31 | 39 | | 32 | 60 | | 33 | 10 | | 34 | 32 | | 35 | 3 | | 36 | 45 | | 37 | 57 | | 38 | 3 | | 39 | 83 | | 40 | 28 | | 41 | 10 | | 42 | 36 | | 43 | 2 | | 44 | 3 | | 45 | 2 | | 46 | 38 | | 47 | 6 | | 48 | 27 | | 49 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 91 | | matches | | 0 | "got caught" | | 1 | "were shoved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 180 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 131 | | ratio | 0.061 | | matches | | 0 | "The Raven's Nest was quiet for a Thursday—three regulars nursing pints at the corner table, a young couple arguing in hushed Welsh near the jukebox." | | 1 | "The bones were the same—sharp cheekbones, a jaw that could cut glass—but the flesh had softened around them, pouched under the eyes, drooped at the corners of the mouth." | | 2 | "“That was a lifetime ago.” Marcus looked up, and for the first time, his eyes held something recognisable—that sharp, calculating glint that had made him one of the best in the field." | | 3 | "The years had carved different lines into both of them, but the same shadow sat behind their eyes—the knowledge of things done, things left undone." | | 4 | "The letters slanted hard to the right, and the curls of the g's and y's were distinctive—a signature he'd seen on countless debriefs, on a note left on a pillow in a Prague hotel room, on a goodbye letter he'd never answered." | | 5 | "It was short—just a few lines, asking Marcus to come if he could, no hard feelings, just a chance to sit together like they used to." | | 6 | "He reached under the bar and pulled out a second bottle—a single malt he'd been saving for a special occasion." | | 7 | "But there was something else, too—a flicker of the old determination." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1033 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.02032913843175218 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002904162633107454 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 12.08 | | std | 9.84 | | cv | 0.814 | | sampleLengths | | 0 | 13 | | 1 | 28 | | 2 | 25 | | 3 | 14 | | 4 | 10 | | 5 | 4 | | 6 | 8 | | 7 | 5 | | 8 | 23 | | 9 | 14 | | 10 | 7 | | 11 | 7 | | 12 | 29 | | 13 | 15 | | 14 | 30 | | 15 | 3 | | 16 | 9 | | 17 | 9 | | 18 | 13 | | 19 | 2 | | 20 | 15 | | 21 | 6 | | 22 | 4 | | 23 | 10 | | 24 | 13 | | 25 | 9 | | 26 | 3 | | 27 | 13 | | 28 | 10 | | 29 | 7 | | 30 | 18 | | 31 | 7 | | 32 | 10 | | 33 | 12 | | 34 | 32 | | 35 | 8 | | 36 | 6 | | 37 | 17 | | 38 | 1 | | 39 | 23 | | 40 | 10 | | 41 | 11 | | 42 | 31 | | 43 | 20 | | 44 | 6 | | 45 | 21 | | 46 | 3 | | 47 | 10 | | 48 | 3 | | 49 | 15 |
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| 44.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.3053435114503817 | | totalSentences | 131 | | uniqueOpeners | 40 | |
| 38.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 86 | | matches | | | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 86 | | matches | | 0 | "He picked up a glass," | | 1 | "He wore a cheap waterproof" | | 2 | "He slid it across the" | | 3 | "He held it, turning it" | | 4 | "He finally lifted the glass" | | 5 | "He set the glass down," | | 6 | "he gestured at the bar," | | 7 | "He just took the glass" | | 8 | "He laid it on the" | | 9 | "He reached out and picked" | | 10 | "He slid a thumb under" | | 11 | "He opened it." | | 12 | "He recognised it immediately." | | 13 | "It wasn't a question." | | 14 | "He cleared his throat and" | | 15 | "It was short—just a few" | | 16 | "He folded the paper and" | | 17 | "He reached under the bar" | | 18 | "He poured two generous measures." | | 19 | "His hand trembled slightly." |
| | ratio | 0.279 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 86 | | matches | | 0 | "The rain had turned Soho" | | 1 | "Silas stood behind the bar," | | 2 | "The Raven's Nest was quiet" | | 3 | "He picked up a glass," | | 4 | "The door swung open with" | | 5 | "Silas didn't look up." | | 6 | "The voice was rougher than" | | 7 | "Silas set the glass down" | | 8 | "The face took a moment" | | 9 | "The bones were the same—sharp" | | 10 | "The hair was grey, cropped" | | 11 | "He wore a cheap waterproof" | | 12 | "The name came out flat," | | 13 | "Marcus pulled out a bar" | | 14 | "The old knee injury flared" | | 15 | "Silas reached for a second" | | 16 | "He slid it across the" | | 17 | "Marcus took the glass, didn't" | | 18 | "He held it, turning it" | | 19 | "A ghost of a smile" |
| | ratio | 0.953 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "Silas stood behind the bar, a dishrag draped over his shoulder, watching water streak down the window in rivulets that caught the green glow of the sign outside…" | | 1 | "The bones were the same—sharp cheekbones, a jaw that could cut glass—but the flesh had softened around them, pouched under the eyes, drooped at the corners of t…" | | 2 | "He held it, turning it in his hands, watching the amber liquid swirl." | | 3 | "The handwriting was cramped, angular, written in blue ink that had bled in places." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "Marcus set down, untouched" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 60 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |