| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said simply [simply]" | | 1 | "Silas asked softly [softly]" |
| | dialogueSentences | 40 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0.111 | | effectiveRatio | 0.1 | |
| 77.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1346 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "completely" | | 2 | "carefully" | | 3 | "slightly" | | 4 | "truly" | | 5 | "softly" |
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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) | |
| 51.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1346 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "tracing" | | 1 | "scanned" | | 2 | "gleaming" | | 3 | "weight" | | 4 | "firmly" | | 5 | "unreadable" | | 6 | "crystal" | | 7 | "warmth" | | 8 | "whisper" | | 9 | "silence" | | 10 | "silk" | | 11 | "calculated" |
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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 | 0 | | narrationSentences | 64 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1346 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 77.18% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1030 | | uniqueNames | 12 | | maxNameDensity | 1.46 | | worstName | "Julian" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 3 | | Soho | 1 | | Savile | 1 | | Row | 1 | | Cardiff | 2 | | Silas | 11 | | Julian | 15 | | Aurora | 8 | | Scotch | 2 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Julian" | | 4 | "Aurora" | | 5 | "Evan" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Cardiff" |
| | globalScore | 0.772 | | windowScore | 0.833 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a physical wall" | | 1 | "as if waiting for her to say a name, to drop the barrier, to ask about home" |
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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 | 1346 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 29.91 | | std | 15.92 | | cv | 0.532 | | sampleLengths | | 0 | 60 | | 1 | 55 | | 2 | 21 | | 3 | 36 | | 4 | 45 | | 5 | 1 | | 6 | 32 | | 7 | 1 | | 8 | 47 | | 9 | 18 | | 10 | 42 | | 11 | 33 | | 12 | 20 | | 13 | 35 | | 14 | 31 | | 15 | 23 | | 16 | 6 | | 17 | 47 | | 18 | 41 | | 19 | 35 | | 20 | 28 | | 21 | 41 | | 22 | 29 | | 23 | 65 | | 24 | 24 | | 25 | 17 | | 26 | 50 | | 27 | 47 | | 28 | 31 | | 29 | 41 | | 30 | 2 | | 31 | 34 | | 32 | 5 | | 33 | 25 | | 34 | 30 | | 35 | 33 | | 36 | 32 | | 37 | 5 | | 38 | 2 | | 39 | 37 | | 40 | 38 | | 41 | 22 | | 42 | 35 | | 43 | 38 | | 44 | 6 |
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| 99.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 64 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 158 | | matches | | 0 | "was polishing" | | 1 | "was sliding" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 86 | | ratio | 0.012 | | matches | | 0 | "The posture was different—shoulders set with a deliberate, manufactured ease." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1040 | | adjectiveStacks | 1 | | stackExamples | | 0 | "smooth, silver-plated cadence" |
| | adverbCount | 27 | | adverbRatio | 0.025961538461538463 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008653846153846154 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 15.65 | | std | 8.52 | | cv | 0.544 | | sampleLengths | | 0 | 26 | | 1 | 12 | | 2 | 22 | | 3 | 23 | | 4 | 13 | | 5 | 19 | | 6 | 21 | | 7 | 20 | | 8 | 16 | | 9 | 24 | | 10 | 18 | | 11 | 3 | | 12 | 1 | | 13 | 8 | | 14 | 21 | | 15 | 3 | | 16 | 1 | | 17 | 24 | | 18 | 10 | | 19 | 13 | | 20 | 12 | | 21 | 6 | | 22 | 11 | | 23 | 31 | | 24 | 23 | | 25 | 10 | | 26 | 20 | | 27 | 31 | | 28 | 4 | | 29 | 20 | | 30 | 11 | | 31 | 17 | | 32 | 6 | | 33 | 6 | | 34 | 24 | | 35 | 12 | | 36 | 11 | | 37 | 37 | | 38 | 4 | | 39 | 7 | | 40 | 28 | | 41 | 24 | | 42 | 4 | | 43 | 11 | | 44 | 30 | | 45 | 20 | | 46 | 9 | | 47 | 23 | | 48 | 20 | | 49 | 22 |
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| 48.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3488372093023256 | | totalSentences | 86 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 45.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 62 | | matches | | 0 | "She tapped her boots against" | | 1 | "His silver signet ring caught" | | 2 | "He scanned the room, his" | | 3 | "His breath hitched." | | 4 | "She turned slowly." | | 5 | "He didn't look like the" | | 6 | "Her voice sounded flat, a" | | 7 | "He gestured toward a table," | | 8 | "She took a slow sip" | | 9 | "He smiled, but the warmth" | | 10 | "He took a long swallow," | | 11 | "she said, her voice dropping" | | 12 | "She let out a dry," | | 13 | "She unzipped her jacket an" | | 14 | "She wasn't the terrified girl" | | 15 | "She had learned to move" | | 16 | "she said simply" | | 17 | "He gestured to his tailored" | | 18 | "She leaned in, her bright" | | 19 | "He reached out, his manicured" |
| | ratio | 0.435 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 62 | | matches | | 0 | "Aurora sat on the tall" | | 1 | "A half-empty glass of dark" | | 2 | "She tapped her boots against" | | 3 | "The heavy oak front door" | | 4 | "Silas set down a glass" | | 5 | "His silver signet ring caught" | | 6 | "The man shaking off the" | | 7 | "He scanned the room, his" | | 8 | "His breath hitched." | | 9 | "Aurora froze, her hand stilling" | | 10 | "The voice carried a smooth," | | 11 | "She turned slowly." | | 12 | "He didn't look like the" | | 13 | "The posture was different—shoulders set" | | 14 | "A golden signet ring gleaming" | | 15 | "Her voice sounded flat, a" | | 16 | "Julian stepped forward, his leather" | | 17 | "He gestured toward a table," | | 18 | "Julian said, throwing a careless" | | 19 | "Silas stared for a beat," |
| | ratio | 0.952 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "The man shaking off the rain wore a charcoal wool coat that screamed Savile Row, his damp blonde hair slicked back with precise care." | | 1 | "He didn't look like the boy who used to share cheap cider behind the university library, his thumb holes frayed in a second-hand jumper." | | 2 | "The air in the bar grew thick, heavy with the phantom smell of stale gin and the metallic tang of fear that used to choke her old apartment." | | 3 | "Silas paused in his sweeping of the bar top, his hazel eyes locking onto Julian with an icy, lethal stillness that made the younger man's throat click as he swa…" |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "Her voice sounded, a pebble dropped into a deep well" | | 1 | "Julian told, his voice regaining its practiced smoothness" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 40 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.125 | | effectiveRatio | 0.05 | |