| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 34 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0.067 | | effectiveRatio | 0.059 | |
| 72.50% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1091 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "sharply" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "very" | | 4 | "slowly" | | 5 | "really" |
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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) | |
| 49.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1091 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "gloom" | | 1 | "silence" | | 2 | "weight" | | 3 | "familiar" | | 4 | "etched" | | 5 | "charm" | | 6 | "stark" | | 7 | "scanning" | | 8 | "flicked" | | 9 | "pounding" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 79 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1091 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 847 | | uniqueNames | 7 | | maxNameDensity | 0.71 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Leo" | | discoveredNames | | Rory | 6 | | Tuesday | 1 | | Silas | 5 | | Aurora | 1 | | Carter | 1 | | Saturday | 1 | | Leo | 5 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Carter" | | 3 | "Leo" |
| | places | (empty) | | globalScore | 1 | | windowScore | 0.833 | |
| 22.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 3 | | matches | | 0 | "as if appraising their value" | | 1 | "as if looking for a familiar landmark in a changed landscape" | | 2 | "looked like a woman running and never sto" |
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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 | 1091 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 33.06 | | std | 20.82 | | cv | 0.63 | | sampleLengths | | 0 | 80 | | 1 | 37 | | 2 | 16 | | 3 | 76 | | 4 | 16 | | 5 | 1 | | 6 | 44 | | 7 | 6 | | 8 | 51 | | 9 | 28 | | 10 | 27 | | 11 | 48 | | 12 | 10 | | 13 | 35 | | 14 | 28 | | 15 | 20 | | 16 | 22 | | 17 | 26 | | 18 | 77 | | 19 | 17 | | 20 | 53 | | 21 | 28 | | 22 | 6 | | 23 | 25 | | 24 | 54 | | 25 | 7 | | 26 | 33 | | 27 | 33 | | 28 | 16 | | 29 | 56 | | 30 | 25 | | 31 | 28 | | 32 | 62 |
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| 96.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 79 | | matches | | |
| 63.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 146 | | matches | | 0 | "was looking" | | 1 | "wasn't finding" | | 2 | "was becoming" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 97 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 853 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar." |
| | adverbCount | 22 | | adverbRatio | 0.02579132473622509 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009378663540445486 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 11.25 | | std | 8.04 | | cv | 0.714 | | sampleLengths | | 0 | 22 | | 1 | 23 | | 2 | 35 | | 3 | 14 | | 4 | 12 | | 5 | 11 | | 6 | 6 | | 7 | 10 | | 8 | 6 | | 9 | 33 | | 10 | 14 | | 11 | 10 | | 12 | 13 | | 13 | 5 | | 14 | 4 | | 15 | 7 | | 16 | 1 | | 17 | 8 | | 18 | 2 | | 19 | 2 | | 20 | 1 | | 21 | 6 | | 22 | 3 | | 23 | 12 | | 24 | 10 | | 25 | 6 | | 26 | 13 | | 27 | 6 | | 28 | 32 | | 29 | 20 | | 30 | 8 | | 31 | 12 | | 32 | 12 | | 33 | 3 | | 34 | 8 | | 35 | 5 | | 36 | 16 | | 37 | 9 | | 38 | 7 | | 39 | 3 | | 40 | 6 | | 41 | 4 | | 42 | 26 | | 43 | 9 | | 44 | 2 | | 45 | 11 | | 46 | 10 | | 47 | 5 | | 48 | 6 | | 49 | 14 |
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| 37.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.31958762886597936 | | totalSentences | 97 | | uniqueOpeners | 31 | |
| 44.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 75 | | matches | | 0 | "Then his eyes met hers." |
| | ratio | 0.013 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 75 | | matches | | 0 | "She leaned into it, her" | | 1 | "Her hand froze on the" | | 2 | "He didn't notice her at" | | 3 | "He walked towards the bar" | | 4 | "He’d filled out since university," | | 5 | "He was a successful man," | | 6 | "His mouth opened slightly, then" | | 7 | "Her jaw tightened." | | 8 | "She held his gaze, refusing" | | 9 | "she said, her voice flat" | | 10 | "He stepped closer to the" | | 11 | "He gestured vaguely at the" | | 12 | "He trailed off, his eyes" | | 13 | "she asked, picking up her" | | 14 | "He had the grace to" | | 15 | "He drummed his fingers on" | | 16 | "She felt the lie of" | | 17 | "She was tired, she knew." | | 18 | "She looked like a woman" | | 19 | "she lied back" |
| | ratio | 0.627 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 75 | | matches | | 0 | "The glass squeaked under Rory's" | | 1 | "She leaned into it, her" | | 2 | "The pub was quiet now," | | 3 | "The door swung open, slicing" | | 4 | "A man stepped in, blinking" | | 5 | "Her hand froze on the" | | 6 | "The cloth dropped to the" | | 7 | "He didn't notice her at" | | 8 | "He walked towards the bar" | | 9 | "He’d filled out since university," | | 10 | "The boyishness was gone, replaced" | | 11 | "He was a successful man," | | 12 | "The easy confidence vanished." | | 13 | "His mouth opened slightly, then" | | 14 | "The name hung in the" | | 15 | "The name from a past" | | 16 | "Her jaw tightened." | | 17 | "She held his gaze, refusing" | | 18 | "The silence stretched, thick with" | | 19 | "she said, her voice flat" |
| | ratio | 0.96 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "The glass squeaked under Rory's cloth, a stubborn smear of lime and gin that had fossilised sometime during the Tuesday night rush." | | 1 | "She leaned into it, her shoulder aching from another double shift, the dense smell of stale beer and lemon polish filling her nose." | | 2 | "He walked towards the bar with the easy confidence of someone who owned every room he entered, his gaze sweeping over the maps and photographs on the walls as i…" | | 3 | "He reached into his coat, pulling out a sleek business card and sliding it across the bar." |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice flat" | | 1 | "Rory corrected, her heart pounding a frantic rhythm against her ribs" |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "she lied back (lie)" | | 1 | "Rory corrected (correct)" |
| | dialogueSentences | 34 | | tagDensity | 0.206 | | leniency | 0.412 | | rawRatio | 0.286 | | effectiveRatio | 0.118 | |