| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.138 | | leniency | 0.276 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1203 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "perfectly" | | 1 | "sharply" | | 2 | "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) | |
| 16.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1203 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "pulsed" | | 1 | "flicker" | | 2 | "tracing" | | 3 | "familiar" | | 4 | "weight" | | 5 | "tension" | | 6 | "calculated" | | 7 | "aligned" | | 8 | "rhythmic" | | 9 | "echoed" | | 10 | "facade" | | 11 | "flickered" | | 12 | "glint" | | 13 | "gloom" | | 14 | "sanctuary" |
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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 | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1202 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 880 | | uniqueNames | 6 | | maxNameDensity | 0.8 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Soho | 1 | | Cardiff | 1 | | Silas | 7 | | Evan | 4 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a heavy stone dropping into a" |
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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 | 1202 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 26.71 | | std | 20.67 | | cv | 0.774 | | sampleLengths | | 0 | 50 | | 1 | 40 | | 2 | 21 | | 3 | 10 | | 4 | 70 | | 5 | 4 | | 6 | 51 | | 7 | 14 | | 8 | 6 | | 9 | 11 | | 10 | 74 | | 11 | 32 | | 12 | 1 | | 13 | 3 | | 14 | 8 | | 15 | 58 | | 16 | 23 | | 17 | 6 | | 18 | 7 | | 19 | 32 | | 20 | 28 | | 21 | 11 | | 22 | 26 | | 23 | 22 | | 24 | 17 | | 25 | 8 | | 26 | 13 | | 27 | 48 | | 28 | 30 | | 29 | 5 | | 30 | 10 | | 31 | 50 | | 32 | 23 | | 33 | 11 | | 34 | 12 | | 35 | 35 | | 36 | 34 | | 37 | 48 | | 38 | 3 | | 39 | 51 | | 40 | 43 | | 41 | 36 | | 42 | 16 | | 43 | 84 | | 44 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 134 | | matches | | 0 | "was slipping" | | 1 | "was suffocating" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 87 | | ratio | 0.011 | | matches | | 0 | "A metallic click filled the room—dead, final, and cold." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 883 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.028312570781426953 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006795016987542469 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 13.82 | | std | 7.91 | | cv | 0.573 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 10 | | 3 | 9 | | 4 | 15 | | 5 | 16 | | 6 | 21 | | 7 | 10 | | 8 | 23 | | 9 | 17 | | 10 | 11 | | 11 | 19 | | 12 | 3 | | 13 | 1 | | 14 | 6 | | 15 | 13 | | 16 | 32 | | 17 | 14 | | 18 | 6 | | 19 | 11 | | 20 | 7 | | 21 | 6 | | 22 | 12 | | 23 | 25 | | 24 | 24 | | 25 | 5 | | 26 | 27 | | 27 | 1 | | 28 | 3 | | 29 | 8 | | 30 | 4 | | 31 | 6 | | 32 | 19 | | 33 | 6 | | 34 | 23 | | 35 | 23 | | 36 | 6 | | 37 | 7 | | 38 | 23 | | 39 | 9 | | 40 | 28 | | 41 | 11 | | 42 | 9 | | 43 | 1 | | 44 | 16 | | 45 | 22 | | 46 | 17 | | 47 | 8 | | 48 | 13 | | 49 | 17 |
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| 38.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2988505747126437 | | totalSentences | 87 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 3.05% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 59 | | matches | | 0 | "I pushed the heavy oak" | | 1 | "It was quiet, the kind" | | 2 | "I headed straight for the" | | 3 | "He looked up, his hazel" | | 4 | "I didn’t mention that I" | | 5 | "I pulled my jacket tighter," | | 6 | "My gaze drifted to the" | | 7 | "It was him." | | 8 | "My breath hitched, a brief" | | 9 | "I ignored him, walking toward" | | 10 | "His voice hadn't changed" | | 11 | "It was smooth, like oil" | | 12 | "I sat opposite him." | | 13 | "I didn't ask if I" | | 14 | "I just occupied the space," | | 15 | "He studied me, his movements" | | 16 | "He reached out to adjust" | | 17 | "He signaled for the server," | | 18 | "His fingers drummed a rhythmic" | | 19 | "He leaned forward, the shadows" |
| | ratio | 0.542 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 59 | | matches | | 0 | "The neon green glow of" | | 1 | "I pushed the heavy oak" | | 2 | "It was quiet, the kind" | | 3 | "I headed straight for the" | | 4 | "Silas was there, wiping down" | | 5 | "He looked up, his hazel" | | 6 | "Silas muttered, the silver signet" | | 7 | "I didn’t mention that I" | | 8 | "I pulled my jacket tighter," | | 9 | "My gaze drifted to the" | | 10 | "A man in a tailored" | | 11 | "It was him." | | 12 | "The air in the room" | | 13 | "My breath hitched, a brief" | | 14 | "Silas noticed the shift, a" | | 15 | "I ignored him, walking toward" | | 16 | "The floorboards groaned beneath my" | | 17 | "Every step felt like a" | | 18 | "Evan didn't look up until" | | 19 | "The years had been kind" |
| | ratio | 0.983 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 59 | | matches | | 0 | "Before I could move, the" |
| | ratio | 0.017 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 6 | | matches | | 0 | "Evan didn't look up until I reached the edge of his table, his eyes tracing the line of my throat before settling on my face." | | 1 | "It was smooth, like oil on water, but it carried that same familiar weight that used to pin me to the wall of our old Cardiff flat." | | 2 | "He reached out to adjust the position of his drink, a neat whiskey that sat perfectly aligned with the edges of his coaster." | | 3 | "He signaled for the server, though the bar was empty save for Silas, who was pointedly busy rearranging bottles on the high shelf." | | 4 | "The calm, calculated facade fell away, revealing the raw, frantic need for control that used to wake me in the dead of the night." | | 5 | "He stood by the bookshelf that concealed the back room, his hand resting on a concealed lever." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 81.03% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Silas muttered (mutter)" | | 1 | "I whispered (whisper)" |
| | dialogueSentences | 29 | | tagDensity | 0.069 | | leniency | 0.138 | | rawRatio | 1 | | effectiveRatio | 0.138 | |