| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas said simply [simply]" |
| | dialogueSentences | 63 | | tagDensity | 0.317 | | leniency | 0.635 | | rawRatio | 0.05 | | effectiveRatio | 0.032 | |
| 88.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1251 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "softly" | | 2 | "slightly" |
| |
| 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) | |
| 36.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1251 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "fractured" | | 1 | "scanning" | | 2 | "weight" | | 3 | "gleaming" | | 4 | "warmth" | | 5 | "tracing" | | 6 | "traced" | | 7 | "silence" | | 8 | "tension" | | 9 | "flicker" | | 10 | "intensity" | | 11 | "perfect" | | 12 | "familiar" |
| |
| 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 | 72 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1246 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 732 | | uniqueNames | 7 | | maxNameDensity | 2.46 | | worstName | "Silas" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | London | 1 | | Aurora | 14 | | Silas | 18 | | Prague | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Prague" |
| | globalScore | 0.27 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | 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 | 1246 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 20.77 | | std | 17.83 | | cv | 0.859 | | sampleLengths | | 0 | 102 | | 1 | 76 | | 2 | 17 | | 3 | 17 | | 4 | 23 | | 5 | 8 | | 6 | 39 | | 7 | 35 | | 8 | 5 | | 9 | 10 | | 10 | 18 | | 11 | 30 | | 12 | 4 | | 13 | 4 | | 14 | 29 | | 15 | 2 | | 16 | 23 | | 17 | 19 | | 18 | 12 | | 19 | 8 | | 20 | 39 | | 21 | 4 | | 22 | 25 | | 23 | 7 | | 24 | 29 | | 25 | 35 | | 26 | 18 | | 27 | 6 | | 28 | 37 | | 29 | 9 | | 30 | 29 | | 31 | 4 | | 32 | 29 | | 33 | 31 | | 34 | 20 | | 35 | 3 | | 36 | 33 | | 37 | 10 | | 38 | 14 | | 39 | 20 | | 40 | 32 | | 41 | 10 | | 42 | 7 | | 43 | 11 | | 44 | 1 | | 45 | 45 | | 46 | 38 | | 47 | 23 | | 48 | 10 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 115 | | ratio | 0.009 | | matches | | 0 | "The tension wasn't hostile; it was the weight of unsaid things, of paths diverged and bridges burned." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 736 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 20 | | adverbRatio | 0.02717391304347826 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010869565217391304 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 10.83 | | std | 6.65 | | cv | 0.614 | | sampleLengths | | 0 | 23 | | 1 | 11 | | 2 | 17 | | 3 | 13 | | 4 | 15 | | 5 | 23 | | 6 | 18 | | 7 | 13 | | 8 | 25 | | 9 | 20 | | 10 | 8 | | 11 | 9 | | 12 | 12 | | 13 | 5 | | 14 | 9 | | 15 | 7 | | 16 | 7 | | 17 | 8 | | 18 | 8 | | 19 | 14 | | 20 | 13 | | 21 | 4 | | 22 | 16 | | 23 | 15 | | 24 | 4 | | 25 | 5 | | 26 | 10 | | 27 | 4 | | 28 | 6 | | 29 | 8 | | 30 | 24 | | 31 | 6 | | 32 | 4 | | 33 | 4 | | 34 | 7 | | 35 | 22 | | 36 | 2 | | 37 | 17 | | 38 | 6 | | 39 | 3 | | 40 | 16 | | 41 | 5 | | 42 | 7 | | 43 | 8 | | 44 | 3 | | 45 | 15 | | 46 | 21 | | 47 | 4 | | 48 | 25 | | 49 | 7 |
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| 63.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4260869565217391 | | totalSentences | 115 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 65 | | matches | | 0 | "She wiped her boots on" | | 1 | "His grey-streaked auburn hair caught" | | 2 | "He wore his silver signet" | | 3 | "He slid it across the" | | 4 | "She wrapped her hands around" | | 5 | "His hazel eyes fixed on" | | 6 | "He walked around the end" | | 7 | "He stopped beside her, close" | | 8 | "It showed a group of" | | 9 | "He placed it on the" | | 10 | "She looked at the scar" | | 11 | "His expression remained neutral, but" | | 12 | "She adjusted her jacket, feeling" | | 13 | "he said, not looking up" | | 14 | "She paused at the threshold," | | 15 | "He stood straighter now, the" |
| | ratio | 0.246 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 65 | | matches | | 0 | "The green neon sign above" | | 1 | "Rain slicked the cobblestones, reflecting" | | 2 | "Aurora pushed through the heavy" | | 3 | "The scent of stale ale," | | 4 | "She wiped her boots on" | | 5 | "Maps covered the walls, their" | | 6 | "Silas stood behind the bar," | | 7 | "His grey-streaked auburn hair caught" | | 8 | "The limp in his left" | | 9 | "He wore his silver signet" | | 10 | "Silas said, setting the glass" | | 11 | "Aurora approached the bar, pulling" | | 12 | "Silas poured a measure of" | | 13 | "He slid it across the" | | 14 | "The glass stopped inches from" | | 15 | "She wrapped her hands around" | | 16 | "A small crescent-shaped scar on" | | 17 | "Silas leaned against the back" | | 18 | "His hazel eyes fixed on" | | 19 | "Aurora took a sip." |
| | ratio | 0.985 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 2 | | matches | | 0 | "Silas said, his voice low" | | 1 | "he said, not looking up" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 3 | | fancyTags | | 0 | "he noted (note)" | | 1 | "he admitted (admit)" | | 2 | "Silas added (add)" |
| | dialogueSentences | 63 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.25 | | effectiveRatio | 0.095 | |