| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 31 | | tagDensity | 0.419 | | leniency | 0.839 | | rawRatio | 0.077 | | effectiveRatio | 0.065 | |
| 86.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1106 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "softly" | | 2 | "perfectly" |
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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) | |
| 14.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1106 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "comfortable" | | 1 | "rhythmic" | | 2 | "profound" | | 3 | "familiar" | | 4 | "lilt" | | 5 | "etched" | | 6 | "furrowed" | | 7 | "weight" | | 8 | "comforting" | | 9 | "scanned" | | 10 | "silence" | | 11 | "whisper" | | 12 | "echoing" | | 13 | "shattered" | | 14 | "flickered" | | 15 | "flicker" |
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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 | 1 | | narrationSentences | 74 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1103 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 919 | | uniqueNames | 10 | | maxNameDensity | 0.54 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Tuesday | 1 | | Raven | 1 | | Nest | 1 | | Blackwood | 1 | | London | 1 | | Silas | 5 | | Cardiff | 1 | | Recognition | 1 | | Rory | 2 |
| | persons | | 0 | "Carter" | | 1 | "Blackwood" | | 2 | "Silas" | | 3 | "Rory" |
| | places | | 0 | "Raven" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Recognition" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1103 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 38.03 | | std | 29.39 | | cv | 0.773 | | sampleLengths | | 0 | 131 | | 1 | 73 | | 2 | 35 | | 3 | 4 | | 4 | 113 | | 5 | 18 | | 6 | 54 | | 7 | 14 | | 8 | 37 | | 9 | 30 | | 10 | 51 | | 11 | 6 | | 12 | 39 | | 13 | 34 | | 14 | 14 | | 15 | 83 | | 16 | 12 | | 17 | 7 | | 18 | 24 | | 19 | 51 | | 20 | 38 | | 21 | 13 | | 22 | 25 | | 23 | 22 | | 24 | 37 | | 25 | 41 | | 26 | 40 | | 27 | 32 | | 28 | 25 |
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| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 74 | | matches | | 0 | "were tucked" | | 1 | "was rumpled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 132 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 88 | | ratio | 0.011 | | matches | | 0 | "This place, this city, Silas—they had reforged her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 921 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.0249728555917481 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013029315960912053 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 12.53 | | std | 6.34 | | cv | 0.506 | | sampleLengths | | 0 | 25 | | 1 | 19 | | 2 | 22 | | 3 | 9 | | 4 | 14 | | 5 | 28 | | 6 | 14 | | 7 | 17 | | 8 | 12 | | 9 | 18 | | 10 | 26 | | 11 | 17 | | 12 | 18 | | 13 | 4 | | 14 | 5 | | 15 | 17 | | 16 | 15 | | 17 | 6 | | 18 | 22 | | 19 | 15 | | 20 | 14 | | 21 | 14 | | 22 | 5 | | 23 | 8 | | 24 | 7 | | 25 | 3 | | 26 | 5 | | 27 | 9 | | 28 | 17 | | 29 | 1 | | 30 | 10 | | 31 | 12 | | 32 | 14 | | 33 | 7 | | 34 | 14 | | 35 | 16 | | 36 | 14 | | 37 | 10 | | 38 | 6 | | 39 | 14 | | 40 | 12 | | 41 | 16 | | 42 | 9 | | 43 | 6 | | 44 | 9 | | 45 | 24 | | 46 | 6 | | 47 | 17 | | 48 | 17 | | 49 | 14 |
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| 54.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3522727272727273 | | totalSentences | 88 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 72 | | matches | | 0 | "It was a slow Tuesday" | | 1 | "He was a mountain of" | | 2 | "He was tall, and the" | | 3 | "He moved with a kind" | | 4 | "He kept his eyes down," | | 5 | "His hair, once a thick," | | 6 | "It was a ghost in" | | 7 | "Her hand stilled on the" | | 8 | "She kept her own eyes" | | 9 | "She reached for the distinctive" | | 10 | "She slid the tumbler across" | | 11 | "She did not look up." | | 12 | "He placed a few notes" | | 13 | "She finally lifted her head." | | 14 | "Her bright blue eyes, cool" | | 15 | "Her voice was a flat" | | 16 | "He picked up his glass," | | 17 | "She folded the cloth in" | | 18 | "He took a long swallow" | | 19 | "He gestured vaguely with the" |
| | ratio | 0.597 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 72 | | matches | | 0 | "The old record player in" | | 1 | "Aurora Carter ran a soft" | | 2 | "It was a slow Tuesday" | | 3 | "Silas Blackwood sat at the" | | 4 | "He was a mountain of" | | 5 | "The bell above the door" | | 6 | "A man stepped inside, shaking" | | 7 | "He was tall, and the" | | 8 | "He moved with a kind" | | 9 | "He kept his eyes down," | | 10 | "His hair, once a thick," | | 11 | "The voice hit her first." | | 12 | "A low rumble, the edges" | | 13 | "It was a ghost in" | | 14 | "Her hand stilled on the" | | 15 | "She kept her own eyes" | | 16 | "She reached for the distinctive" | | 17 | "The amber liquid swirled into" | | 18 | "She slid the tumbler across" | | 19 | "She did not look up." |
| | ratio | 0.944 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 1 | | matches | | 0 | "The bell above the door chimed, a sharp, metallic sound that sliced through the bar's warm hum." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "He picked up, his fingers trembling almost imperceptibly" | | 1 | "she said, her tone leaving no room for argument" | | 2 | "He drained, the ice clinking against the bottom with a lonely finality" | | 3 | "Her chin lifted, a gesture of defiance" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 31 | | tagDensity | 0.097 | | leniency | 0.194 | | rawRatio | 0.333 | | effectiveRatio | 0.065 | |