| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 3 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "Silas pressed gently [gently]" | | 2 | "Silas said suddenly [suddenly]" |
| | dialogueSentences | 77 | | tagDensity | 0.325 | | leniency | 0.649 | | rawRatio | 0.12 | | effectiveRatio | 0.078 | |
| 67.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1852 | | totalAiIsmAdverbs | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "barely above a whisper" | | count | 1 |
| | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "suddenly" | | 1 | "perfectly" | | 2 | "very" | | 3 | "really" | | 4 | "barely above a whisper" | | 5 | "slightly" | | 6 | "gently" | | 7 | "softly" |
| |
| 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) | |
| 67.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1852 | | totalAiIsms | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "practiced ease" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | word | "down her spine" | | count | 1 |
| | 8 | | | 9 | |
| | highlights | | 0 | "chill" | | 1 | "familiar" | | 2 | "weight" | | 3 | "practiced ease" | | 4 | "whisper" | | 5 | "tracing" | | 6 | "perfect" | | 7 | "down her spine" | | 8 | "silence" | | 9 | "unspoken" |
| |
| 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 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 93 | | matches | (empty) | |
| 96.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1847 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 896 | | uniqueNames | 8 | | maxNameDensity | 0.56 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | October | 1 | | Rory | 4 | | Guinness | 1 | | Silas | 5 | | Cardiff | 1 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.541 | | wordCount | 1847 | | matches | | 0 | "not just a place, but a node in a map she hadn’t known existed" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 26.39 | | std | 17.25 | | cv | 0.654 | | sampleLengths | | 0 | 42 | | 1 | 66 | | 2 | 10 | | 3 | 49 | | 4 | 14 | | 5 | 30 | | 6 | 14 | | 7 | 25 | | 8 | 19 | | 9 | 21 | | 10 | 6 | | 11 | 24 | | 12 | 21 | | 13 | 33 | | 14 | 25 | | 15 | 36 | | 16 | 30 | | 17 | 14 | | 18 | 22 | | 19 | 12 | | 20 | 37 | | 21 | 58 | | 22 | 16 | | 23 | 27 | | 24 | 12 | | 25 | 11 | | 26 | 33 | | 27 | 21 | | 28 | 53 | | 29 | 5 | | 30 | 29 | | 31 | 23 | | 32 | 2 | | 33 | 25 | | 34 | 50 | | 35 | 10 | | 36 | 54 | | 37 | 45 | | 38 | 12 | | 39 | 70 | | 40 | 13 | | 41 | 24 | | 42 | 16 | | 43 | 54 | | 44 | 30 | | 45 | 72 | | 46 | 5 | | 47 | 2 | | 48 | 33 | | 49 | 28 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 93 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 156 | | matches | | |
| 63.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 144 | | ratio | 0.028 | | matches | | 0 | "It was a place that swallowed sound; the low murmur of conversation, the clink of a glass, all of it absorbed by the walls papered with old maps and shadowed photographs." | | 1 | "He nodded, his gaze sweeping over her—the black hair now cut to her shoulders, the professional poise she’d learned to wear." | | 2 | "It was filled with all the things they weren’t saying—the years of unspoken fear, the regret over paths not taken, the ghost of the girl she’d been." | | 3 | "The bar felt different now—not just a place, but a node in a map she hadn’t known existed." |
| |
| 99.11% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 902 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.03547671840354767 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.02106430155210643 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 12.83 | | std | 10.03 | | cv | 0.782 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 10 | | 3 | 22 | | 4 | 31 | | 5 | 13 | | 6 | 10 | | 7 | 11 | | 8 | 15 | | 9 | 11 | | 10 | 12 | | 11 | 14 | | 12 | 13 | | 13 | 17 | | 14 | 10 | | 15 | 4 | | 16 | 21 | | 17 | 4 | | 18 | 3 | | 19 | 5 | | 20 | 11 | | 21 | 6 | | 22 | 15 | | 23 | 6 | | 24 | 11 | | 25 | 7 | | 26 | 6 | | 27 | 10 | | 28 | 11 | | 29 | 19 | | 30 | 14 | | 31 | 9 | | 32 | 12 | | 33 | 4 | | 34 | 18 | | 35 | 18 | | 36 | 13 | | 37 | 13 | | 38 | 4 | | 39 | 14 | | 40 | 9 | | 41 | 7 | | 42 | 6 | | 43 | 12 | | 44 | 4 | | 45 | 10 | | 46 | 7 | | 47 | 11 | | 48 | 5 | | 49 | 58 |
| |
| 44.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.2777777777777778 | | totalSentences | 144 | | uniqueOpeners | 40 | |
| 36.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 91 | | matches | | 0 | "Then he leaned forward slightly." |
| | ratio | 0.011 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 91 | | matches | | 0 | "She pushed through the heavy" | | 1 | "It was a place that" | | 2 | "She went to the bar," | | 3 | "He stood with a slight," | | 4 | "she breathed, the name feeling" | | 5 | "she said, managing a small" | | 6 | "He nodded, his gaze sweeping" | | 7 | "She flinched internally." | | 8 | "He chuckled, a low, dry" | | 9 | "He drew a Guinness with" | | 10 | "He placed it in front" | | 11 | "She took a long sip," | | 12 | "He wiped down a spot" | | 13 | "She gestured vaguely upward" | | 14 | "she repeated, the words tasting" | | 15 | "She took another drink, needing" | | 16 | "She met his gaze." | | 17 | "She paused, watching him" | | 18 | "He wasn’t just the bar" | | 19 | "She set her glass down." |
| | ratio | 0.67 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 91 | | matches | | 0 | "The green neon sign of" | | 1 | "Rory pulled her collar tighter," | | 2 | "She pushed through the heavy" | | 3 | "The air inside was warm" | | 4 | "It was a place that" | | 5 | "She went to the bar," | | 6 | "The voice was gravelly, familiar" | | 7 | "Rory looked up into hazel" | | 8 | "The man behind the bar" | | 9 | "He stood with a slight," | | 10 | "A silver signet ring caught" | | 11 | "she breathed, the name feeling" | | 12 | "A slow smile spread across" | | 13 | "she said, managing a small" | | 14 | "He nodded, his gaze sweeping" | | 15 | "She flinched internally." | | 16 | "He chuckled, a low, dry" | | 17 | "He drew a Guinness with" | | 18 | "He placed it in front" | | 19 | "She took a long sip," |
| | ratio | 0.956 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "It was a place that swallowed sound; the low murmur of conversation, the clink of a glass, all of it absorbed by the walls papered with old maps and shadowed ph…" | | 1 | "She’d had that exact thought, staring at her pre-law textbooks in her cramped bedroom in Cardiff, the sound of Evan’s car pulling up outside like a tightening w…" |
| |
| 45.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 4 | | matches | | 0 | "He nodded, though her sleeve covered it" | | 1 | "Silas asked, his voice quiet" | | 2 | "she asked, her voice barely above a whisper" | | 3 | "she said, the confession escaping before she could stop it" |
| |
| 98.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 4 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "she repeated (repeat)" | | 2 | "Silas pressed gently (press)" | | 3 | "she muttered (mutter)" |
| | dialogueSentences | 77 | | tagDensity | 0.156 | | leniency | 0.312 | | rawRatio | 0.333 | | effectiveRatio | 0.104 | |