| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 91.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1708 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "slightly" |
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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) | |
| 32.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1708 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "flickered" | | 1 | "electric" | | 2 | "familiar" | | 3 | "weight" | | 4 | "traced" | | 5 | "scanning" | | 6 | "eyebrow" | | 7 | "scanned" | | 8 | "measured" | | 9 | "tapestry" | | 10 | "mechanical" | | 11 | "whisper" | | 12 | "echoed" | | 13 | "stomach" | | 14 | "tension" | | 15 | "charged" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 214 | | matches | | 0 | "o with guilt" | | 1 | "was afraid" | | 2 | "was afraid" |
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| 89.45% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 6 | | hedgeCount | 2 | | narrationSentences | 214 | | filterMatches | | 0 | "look" | | 1 | "think" | | 2 | "know" | | 3 | "watch" | | 4 | "see" |
| | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 214 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1708 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 1 | | matches | | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 67 | | wordCount | 1708 | | uniqueNames | 12 | | maxNameDensity | 1.17 | | worstName | "You" | | maxWindowNameDensity | 4.5 | | worstWindowName | "You" | | discoveredNames | | Prague | 3 | | Silas | 15 | | Yorkshire | 1 | | London | 2 | | Thomas | 19 | | Soho | 1 | | Nest | 1 | | Berlin | 2 | | Zurich | 1 | | Leeds | 1 | | Frankfurt | 1 | | You | 20 |
| | persons | | 0 | "Silas" | | 1 | "Thomas" | | 2 | "Nest" | | 3 | "You" |
| | places | | 0 | "Prague" | | 1 | "Yorkshire" | | 2 | "London" | | 3 | "Soho" | | 4 | "Berlin" | | 5 | "Zurich" | | 6 | "Leeds" | | 7 | "Frankfurt" |
| | globalScore | 0.915 | | windowScore | 0.167 | |
| 96.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 140 | | glossingSentenceCount | 3 | | matches | | 0 | "quite left him after twenty years" | | 1 | "smelled like old ink and cheap paper, and" | | 2 | "felt like furniture" |
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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 | 1708 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 214 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 58.9 | | std | 32.36 | | cv | 0.549 | | sampleLengths | | 0 | 130 | | 1 | 84 | | 2 | 7 | | 3 | 60 | | 4 | 28 | | 5 | 56 | | 6 | 38 | | 7 | 34 | | 8 | 20 | | 9 | 61 | | 10 | 25 | | 11 | 73 | | 12 | 8 | | 13 | 50 | | 14 | 52 | | 15 | 78 | | 16 | 18 | | 17 | 83 | | 18 | 60 | | 19 | 88 | | 20 | 44 | | 21 | 108 | | 22 | 54 | | 23 | 103 | | 24 | 48 | | 25 | 43 | | 26 | 136 | | 27 | 59 | | 28 | 60 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 214 | | matches | | 0 | "get buried" | | 1 | "were supposed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 319 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 214 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1708 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.022833723653395786 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.002927400468384075 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 214 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 214 | | mean | 7.98 | | std | 4.64 | | cv | 0.581 | | sampleLengths | | 0 | 18 | | 1 | 27 | | 2 | 24 | | 3 | 11 | | 4 | 17 | | 5 | 11 | | 6 | 11 | | 7 | 11 | | 8 | 6 | | 9 | 21 | | 10 | 11 | | 11 | 9 | | 12 | 5 | | 13 | 9 | | 14 | 5 | | 15 | 18 | | 16 | 7 | | 17 | 8 | | 18 | 6 | | 19 | 11 | | 20 | 14 | | 21 | 10 | | 22 | 11 | | 23 | 3 | | 24 | 7 | | 25 | 13 | | 26 | 5 | | 27 | 4 | | 28 | 5 | | 29 | 7 | | 30 | 6 | | 31 | 19 | | 32 | 4 | | 33 | 11 | | 34 | 19 | | 35 | 8 | | 36 | 2 | | 37 | 9 | | 38 | 6 | | 39 | 6 | | 40 | 16 | | 41 | 6 | | 42 | 4 | | 43 | 4 | | 44 | 12 | | 45 | 6 | | 46 | 18 | | 47 | 11 | | 48 | 10 | | 49 | 16 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 55 | | diversityRatio | 0.14485981308411214 | | totalSentences | 214 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 206 | | matches | (empty) | | ratio | 0 | |
| 10.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 108 | | totalSentences | 206 | | matches | | 0 | "He traced the rim of" | | 1 | "His left leg rested at" | | 2 | "He paused at the entrance," | | 3 | "It arrived as a physical" | | 4 | "His boots made no sound," | | 5 | "You look like you sleep" | | 6 | "His hair had thinned at" | | 7 | "He wore a dark suit" | | 8 | "His voice sounded rougher than" | | 9 | "It carried the gravel of" | | 10 | "You made it to London." | | 11 | "He did not remove his" | | 12 | "His eyes scanned the room," | | 13 | "They just get buried under" | | 14 | "He set it down in" | | 15 | "His fingers hovered over the" | | 16 | "I do not drink on" | | 17 | "You are off duty." | | 18 | "He brought it to his" | | 19 | "They tell me you sold" |
| | ratio | 0.524 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 190 | | totalSentences | 206 | | matches | | 0 | "The green neon sign flickered" | | 1 | "Silas sat in the rear" | | 2 | "He traced the rim of" | | 3 | "The silver signet ring on" | | 4 | "A decade of running dry" | | 5 | "His left leg rested at" | | 6 | "The old Prague injury still" | | 7 | "The heavy oak door swung" | | 8 | "A draft pushed through the" | | 9 | "A figure stepped inside, shaking" | | 10 | "He paused at the entrance," | | 11 | "The recognition hit Silas first." | | 12 | "It arrived as a physical" | | 13 | "The man crossed the floorboards." | | 14 | "His boots made no sound," | | 15 | "You look like you sleep" | | 16 | "The voice carried that familiar" | | 17 | "Thomas leaned against the booth" | | 18 | "His hair had thinned at" | | 19 | "A scar traced a pale" |
| | ratio | 0.922 | |
| 48.54% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 206 | | matches | | 0 | "Now the precision felt brittle," | | 1 | "If we pull threads, the" |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 2 | | matches | | 0 | "I stood in my hallway holding pieces of paper that smelled like old ink and cheap paper, and I put them in a drawer." | | 1 | "The rigid posture softened into something familiar, something that dated back to lecture halls and shared cigarettes and the naive certainty of youth." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |