| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 90.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1079 | | 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) | |
| 21.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1079 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "reminder" | | 3 | "flicked" | | 4 | "electric" | | 5 | "shattered" | | 6 | "familiar" | | 7 | "dancing" | | 8 | "resolve" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 111 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 111 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1076 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 4 | | matches | | 0 | "Rory, he said, his voice low, roughened by years of smoke and silence." | | 1 | "You never were, he said quickly, perhaps too quickly." | | 2 | "And I carried the guilt of leaving you to fend for yourself, she replied, her voice low enough that only he could hear o…" | | 3 | "Stay here, he said, voice edged with urgency." |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1076 | | uniqueNames | 10 | | maxNameDensity | 1.12 | | worstName | "You" | | maxWindowNameDensity | 3 | | worstWindowName | "You" | | discoveredNames | | Cardiff | 2 | | London | 1 | | Si | 1 | | Golden | 1 | | Empress | 1 | | Prague | 2 | | Rory | 2 | | Silas | 8 | | Aurora | 6 | | You | 12 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Aurora" | | 3 | "You" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Prague" |
| | globalScore | 0.942 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | 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 | 1076 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 29.08 | | std | 15.17 | | cv | 0.522 | | sampleLengths | | 0 | 53 | | 1 | 44 | | 2 | 16 | | 3 | 37 | | 4 | 25 | | 5 | 17 | | 6 | 32 | | 7 | 24 | | 8 | 10 | | 9 | 26 | | 10 | 64 | | 11 | 17 | | 12 | 21 | | 13 | 31 | | 14 | 24 | | 15 | 12 | | 16 | 18 | | 17 | 27 | | 18 | 24 | | 19 | 27 | | 20 | 24 | | 21 | 63 | | 22 | 24 | | 23 | 25 | | 24 | 27 | | 25 | 16 | | 26 | 69 | | 27 | 26 | | 28 | 61 | | 29 | 28 | | 30 | 5 | | 31 | 35 | | 32 | 31 | | 33 | 22 | | 34 | 12 | | 35 | 26 | | 36 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 96.91% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 194 | | matches | | 0 | "was polishing" | | 1 | "wasn’t looking" | | 2 | "were running" |
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| 91.38% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 111 | | ratio | 0.018 | | matches | | 0 | "A sudden clatter sounded from the back room—a bottle shattered, glass scattering across the floor." | | 1 | "She stepped closer, the scent of his aftershave—something sharp and masculine—cutting through the stale ale." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1079 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.028730305838739572 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008341056533827619 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 9.69 | | std | 6.94 | | cv | 0.716 | | sampleLengths | | 0 | 1 | | 1 | 10 | | 2 | 18 | | 3 | 24 | | 4 | 25 | | 5 | 19 | | 6 | 13 | | 7 | 2 | | 8 | 1 | | 9 | 13 | | 10 | 1 | | 11 | 6 | | 12 | 17 | | 13 | 12 | | 14 | 4 | | 15 | 9 | | 16 | 8 | | 17 | 1 | | 18 | 1 | | 19 | 7 | | 20 | 16 | | 21 | 5 | | 22 | 11 | | 23 | 10 | | 24 | 9 | | 25 | 1 | | 26 | 4 | | 27 | 3 | | 28 | 4 | | 29 | 2 | | 30 | 1 | | 31 | 1 | | 32 | 11 | | 33 | 10 | | 34 | 4 | | 35 | 14 | | 36 | 12 | | 37 | 12 | | 38 | 26 | | 39 | 7 | | 40 | 10 | | 41 | 14 | | 42 | 1 | | 43 | 6 | | 44 | 3 | | 45 | 13 | | 46 | 15 | | 47 | 17 | | 48 | 7 | | 49 | 9 |
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| 53.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.36036036036036034 | | totalSentences | 111 | | uniqueOpeners | 40 | |
| 36.23% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 92 | | matches | | 0 | "Then Silas gave a curt" |
| | ratio | 0.011 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 92 | | matches | | 0 | "She pushed through the swing" | | 1 | "She slid onto the stool" | | 2 | "She let out a humourless" | | 3 | "I’m still the same girl" | | 4 | "He set the glass down" | | 5 | "You were sixteen then." | | 6 | "Her fingers tapped the scar," | | 7 | "I’ve been carrying a lot" | | 8 | "He leaned forward, the limp" | | 9 | "You left without a word." | | 10 | "I heard you’d gone to" | | 11 | "I left because staying meant" | | 12 | "he made me small." | | 13 | "I should have noticed." | | 14 | "She lifted her chin, the" | | 15 | "You were running a network" | | 16 | "You had eyes everywhere." | | 17 | "He glanced at the silver" | | 18 | "You still work for the" | | 19 | "he asked, attempting to steer" |
| | ratio | 0.565 | |
| 30.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 92 | | matches | | 0 | "Aurora said, her voice sharp" | | 1 | "She pushed through the swing" | | 2 | "The scent of old timber" | | 3 | "Silas looked up from the" | | 4 | "A ghost of a smile" | | 5 | "Rory, he said, his voice" | | 6 | "She slid onto the stool" | | 7 | "She let out a humourless" | | 8 | "I’m still the same girl" | | 9 | "He set the glass down" | | 10 | "You were sixteen then." | | 11 | "Her fingers tapped the scar," | | 12 | "I’ve been carrying a lot" | | 13 | "He leaned forward, the limp" | | 14 | "You left without a word." | | 15 | "I heard you’d gone to" | | 16 | "Aurora’s gaze dropped to the" | | 17 | "I left because staying meant" | | 18 | "he made me small." | | 19 | "Silas’s jaw tightened." |
| | ratio | 0.859 | |
| 54.35% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 92 | | matches | | 0 | "Now you carry a weight" |
| | ratio | 0.011 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 4 | | matches | | 0 | "The contact was brief, electric, then withdrawn as if burned." | | 1 | "She managed a half‑smile, the kind that didn’t reach her eyes." | | 2 | "Silas rose with a fluidity that belied his limp, moving to fill a pint." | | 3 | "In that moment, the bar above seemed a world away, and the two old friends stepped into the shadows, the past and present colliding with a force that would not …" |
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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 | |