| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1097 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "barely above a whisper" |
| |
| 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) | |
| 13.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1097 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "familiar" | | 1 | "scanning" | | 2 | "pulse" | | 3 | "whisper" | | 4 | "flicker" | | 5 | "echoed" | | 6 | "footsteps" | | 7 | "weight" | | 8 | "flickered" | | 9 | "glinting" | | 10 | "tension" | | 11 | "glint" | | 12 | "echoing" | | 13 | "fleeting" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 65 | | matches | (empty) | |
| 98.90% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1095 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 30.95% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 840 | | uniqueNames | 2 | | maxNameDensity | 2.38 | | worstName | "Silas" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.31 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | 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 | 1095 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 22.81 | | std | 12.89 | | cv | 0.565 | | sampleLengths | | 0 | 8 | | 1 | 89 | | 2 | 15 | | 3 | 26 | | 4 | 47 | | 5 | 15 | | 6 | 20 | | 7 | 21 | | 8 | 33 | | 9 | 20 | | 10 | 30 | | 11 | 19 | | 12 | 21 | | 13 | 21 | | 14 | 24 | | 15 | 27 | | 16 | 34 | | 17 | 33 | | 18 | 20 | | 19 | 29 | | 20 | 17 | | 21 | 12 | | 22 | 18 | | 23 | 29 | | 24 | 11 | | 25 | 21 | | 26 | 13 | | 27 | 46 | | 28 | 20 | | 29 | 23 | | 30 | 22 | | 31 | 17 | | 32 | 18 | | 33 | 18 | | 34 | 18 | | 35 | 33 | | 36 | 10 | | 37 | 18 | | 38 | 24 | | 39 | 15 | | 40 | 16 | | 41 | 32 | | 42 | 18 | | 43 | 20 | | 44 | 10 | | 45 | 9 | | 46 | 9 | | 47 | 26 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 143 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 85 | | ratio | 0.012 | | matches | | 0 | "Silas’s eyes narrowed, a flicker of something—perhaps caution or nostalgia—crossing his face." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 842 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.015439429928741092 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004750593824228029 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 92.29% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 12.88 | | std | 4.9 | | cv | 0.381 | | sampleLengths | | 0 | 8 | | 1 | 21 | | 2 | 21 | | 3 | 18 | | 4 | 16 | | 5 | 13 | | 6 | 15 | | 7 | 10 | | 8 | 16 | | 9 | 23 | | 10 | 24 | | 11 | 15 | | 12 | 14 | | 13 | 6 | | 14 | 9 | | 15 | 12 | | 16 | 20 | | 17 | 13 | | 18 | 12 | | 19 | 8 | | 20 | 16 | | 21 | 14 | | 22 | 19 | | 23 | 6 | | 24 | 15 | | 25 | 10 | | 26 | 11 | | 27 | 14 | | 28 | 10 | | 29 | 12 | | 30 | 15 | | 31 | 15 | | 32 | 19 | | 33 | 10 | | 34 | 23 | | 35 | 8 | | 36 | 12 | | 37 | 17 | | 38 | 12 | | 39 | 17 | | 40 | 8 | | 41 | 4 | | 42 | 10 | | 43 | 8 | | 44 | 17 | | 45 | 12 | | 46 | 11 | | 47 | 13 | | 48 | 8 | | 49 | 13 |
| |
| 47.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3058823529411765 | | totalSentences | 85 | | uniqueOpeners | 26 | |
| 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 | 8 | | totalSentences | 65 | | matches | | 0 | "She paused, eyes scanning the" | | 1 | "His left leg bore a" | | 2 | "She set the delivery bag" | | 3 | "she asked, voice barely above" | | 4 | "he asked, holding up a" | | 5 | "he said, voice low" | | 6 | "he whispered, eyes locked on" | | 7 | "she asked, her voice barely" |
| | ratio | 0.123 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 65 | | matches | | 0 | "A glass cracked, spilling amber" | | 1 | "Aurora slipped through the neon‑green" | | 2 | "She paused, eyes scanning the" | | 3 | "Silas stood behind the bar," | | 4 | "His left leg bore a" | | 5 | "A silver signet ring glinted" | | 6 | "Silas said, his voice low," | | 7 | "Aurora replied, the name tasting" | | 8 | "She set the delivery bag" | | 9 | "The bar’s walls, a collage" | | 10 | "The hum of a distant" | | 11 | "Silas said, eyes flicking to" | | 12 | "Aurora answered, a faint smile" | | 13 | "Silas chuckled, a dry sound" | | 14 | "Aurora’s gaze drifted to the" | | 15 | "she asked, voice barely above" | | 16 | "Silas’s eyes narrowed, a flicker" | | 17 | "A sudden thud echoed from" | | 18 | "A young barista, cheeks flushed," | | 19 | "Silas asked, his tone shifting" |
| | ratio | 1 | |
| 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 | 43 | | technicalSentenceCount | 2 | | matches | | 0 | "The hum of a distant jukebox blended with the occasional clink of glasses, a rhythm that tick‑tocked like a heart in a quiet room." | | 1 | "Aurora lunged toward the doorway, her coat flapping, the crescent scar on her wrist catching the fleeting light." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 11 | | matches | | 0 | "Silas said, eyes flicking to the crescent scar on her left wrist" | | 1 | "Aurora answered, a faint smile tugging at the corner of her mouth" | | 2 | "she asked, voice barely above a whisper" | | 3 | "Silas asked, his tone shifting to a nostalgic cadence" | | 4 | "Aurora replied, her eyes narrowing" | | 5 | "Aurora replied, her voice steady" | | 6 | "he said, voice low" | | 7 | "the newcomer said, voice gravelly," | | 8 | "he whispered, eyes locked on Aurora" | | 9 | "she asked, her voice barely audible" | | 10 | "Aurora shouted, her voice cutting through the chaos" |
| |
| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 3 | | fancyTags | | 0 | "Silas muttered (mutter)" | | 1 | "he whispered (whisper)" | | 2 | "Aurora shouted (shout)" |
| | dialogueSentences | 36 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.188 | | effectiveRatio | 0.167 | |