| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 61 | | tagDensity | 0.148 | | leniency | 0.295 | | rawRatio | 0.111 | | effectiveRatio | 0.033 | |
| 87.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1160 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "tightly" | | 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) | |
| 65.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1160 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "etched" | | 1 | "silk" | | 2 | "silence" | | 3 | "weight" | | 4 | "traced" | | 5 | "pulse" |
| |
| 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 | 1 | | narrationSentences | 81 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1145 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 1 | | matches | | 0 | "If he noticed the crescent scar flashing at my wrist, he said nothing." |
| |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 690 | | uniqueNames | 6 | | maxNameDensity | 0.43 | | worstName | "Silas" | | maxWindowNameDensity | 1 | | worstWindowName | "Silas" | | discoveredNames | | Bowie | 1 | | Older | 1 | | Silas | 3 | | London | 1 | | Soho | 1 | | Run | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like he’d stepped from some colder" | | 1 | "as if chasing the last smoke from an old cigarette" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.873 | | wordCount | 1145 | | matches | | 0 | "Not fancy whisky, but honest" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 132 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 13.8 | | std | 10.23 | | cv | 0.742 | | sampleLengths | | 0 | 3 | | 1 | 24 | | 2 | 3 | | 3 | 65 | | 4 | 4 | | 5 | 6 | | 6 | 14 | | 7 | 40 | | 8 | 4 | | 9 | 8 | | 10 | 17 | | 11 | 3 | | 12 | 10 | | 13 | 22 | | 14 | 9 | | 15 | 9 | | 16 | 13 | | 17 | 15 | | 18 | 2 | | 19 | 11 | | 20 | 4 | | 21 | 5 | | 22 | 16 | | 23 | 21 | | 24 | 24 | | 25 | 4 | | 26 | 14 | | 27 | 11 | | 28 | 31 | | 29 | 3 | | 30 | 21 | | 31 | 28 | | 32 | 24 | | 33 | 16 | | 34 | 8 | | 35 | 42 | | 36 | 10 | | 37 | 4 | | 38 | 16 | | 39 | 5 | | 40 | 3 | | 41 | 9 | | 42 | 22 | | 43 | 25 | | 44 | 14 | | 45 | 3 | | 46 | 16 | | 47 | 5 | | 48 | 6 | | 49 | 7 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 138 | | matches | (empty) | |
| 12.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 132 | | ratio | 0.045 | | matches | | 0 | "Maggie set tumblers between us, and for a beat we sat like that—old train tracks crossed again, knowing one might derail." | | 1 | "I hesitated at that last sliver of myself—the me that’d once scraped blood off knuckles after playground fights, the me he’d told: don’t run headlong without an exit." | | 2 | "I stared at the old photographs—faces posed with hands folded too tightly, decades layered in shadows." | | 3 | "A laugh from Silas—almost fond." | | 4 | "A judder rose at my throat—memory or tears, I couldn’t say." | | 5 | "Behind it—a narrow door, backlit by a harsh blue glow." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 699 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.032904148783977114 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005722460658082976 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 8.67 | | std | 5.75 | | cv | 0.663 | | sampleLengths | | 0 | 3 | | 1 | 10 | | 2 | 14 | | 3 | 3 | | 4 | 13 | | 5 | 17 | | 6 | 25 | | 7 | 10 | | 8 | 1 | | 9 | 3 | | 10 | 4 | | 11 | 1 | | 12 | 1 | | 13 | 9 | | 14 | 5 | | 15 | 24 | | 16 | 6 | | 17 | 10 | | 18 | 4 | | 19 | 3 | | 20 | 5 | | 21 | 17 | | 22 | 3 | | 23 | 10 | | 24 | 8 | | 25 | 14 | | 26 | 9 | | 27 | 5 | | 28 | 4 | | 29 | 7 | | 30 | 6 | | 31 | 13 | | 32 | 2 | | 33 | 2 | | 34 | 4 | | 35 | 7 | | 36 | 4 | | 37 | 5 | | 38 | 16 | | 39 | 21 | | 40 | 11 | | 41 | 13 | | 42 | 4 | | 43 | 4 | | 44 | 5 | | 45 | 5 | | 46 | 11 | | 47 | 17 | | 48 | 14 | | 49 | 3 |
| |
| 64.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.42424242424242425 | | totalSentences | 132 | | uniqueOpeners | 56 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Instead, I let the silence" | | 1 | "Maybe that was the truest" |
| | ratio | 0.027 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 75 | | matches | | 0 | "I yanked my arm free" | | 1 | "He looked like he’d stepped" | | 2 | "I stared at the signet" | | 3 | "His jaw twitched." | | 4 | "He barked a laugh, too" | | 5 | "I obeyed because some habits" | | 6 | "He called over his shoulder." | | 7 | "He watched her pour, then" | | 8 | "He let that settle." | | 9 | "His lips pursed at the" | | 10 | "I said, keeping my hands" | | 11 | "I took a sip." | | 12 | "He paused, then tapped his" | | 13 | "He didn’t smile, but his" | | 14 | "I wanted to quip, bite" | | 15 | "He spoke first." | | 16 | "I stared into the amber" | | 17 | "We sat, old ghosts threading" | | 18 | "I hesitated at that last" | | 19 | "He gestured at the scar." |
| | ratio | 0.6 | |
| 26.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 75 | | matches | | 0 | "The spill of beer stung" | | 1 | "Glass rattled against tile, then" | | 2 | "I yanked my arm free" | | 3 | "Faces blurred in soft neon," | | 4 | "The man in front of" | | 5 | "He looked like he’d stepped" | | 6 | "A crooked smile hollowed his" | | 7 | "I stared at the signet" | | 8 | "Silk waistcoat, second-hand but perfectly" | | 9 | "A myth shot through with" | | 10 | "His jaw twitched." | | 11 | "He barked a laugh, too" | | 12 | "I obeyed because some habits" | | 13 | "He called over his shoulder." | | 14 | "The youngest barmaid eyed me," | | 15 | "He watched her pour, then" | | 16 | "He let that settle." | | 17 | "His lips pursed at the" | | 18 | "Maggie set tumblers between us," | | 19 | "I said, keeping my hands" |
| | ratio | 0.867 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 75 | | matches | | 0 | "If he noticed the crescent" | | 1 | "Because that was how Silas" | | 2 | "Now, I stepped through the" |
| | ratio | 0.04 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "His lips pursed at the memory, as if chasing the last smoke from an old cigarette." |
| |
| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "The truth surfaced, trembling" | | 1 | "he asked, voice stripped of irony" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 61 | | tagDensity | 0.049 | | leniency | 0.098 | | rawRatio | 0 | | effectiveRatio | 0 | |