| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "He looked around [around]" |
| | dialogueSentences | 32 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.083 | | effectiveRatio | 0.063 | |
| 77.82% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1127 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "suddenly" | | 3 | "really" | | 4 | "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) | |
| 64.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1127 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "familiar" | | 1 | "sanctuary" | | 2 | "constructed" | | 3 | "charm" | | 4 | "echoing" | | 5 | "weight" | | 6 | "flickered" |
| |
| 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 | 2 | | narrationSentences | 78 | | matches | | 0 | "p with disbelief" | | 1 | "looked uncomfortable" |
| |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1123 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 877 | | uniqueNames | 10 | | maxNameDensity | 0.68 | | worstName | "Leo" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Evan | 1 | | Eva | 1 | | London | 1 | | Silas | 5 | | Leo | 6 | | Aurora | 4 | | Cardiff | 1 |
| | persons | | 0 | "Raven" | | 1 | "Evan" | | 2 | "Eva" | | 3 | "Silas" | | 4 | "Leo" | | 5 | "Aurora" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a relic from another life, a" | | 1 | "thing that seemed to mock the shadows in the room" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1123 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 40.11 | | std | 29.01 | | cv | 0.723 | | sampleLengths | | 0 | 105 | | 1 | 74 | | 2 | 22 | | 3 | 83 | | 4 | 11 | | 5 | 52 | | 6 | 11 | | 7 | 45 | | 8 | 28 | | 9 | 84 | | 10 | 11 | | 11 | 27 | | 12 | 2 | | 13 | 41 | | 14 | 63 | | 15 | 22 | | 16 | 94 | | 17 | 8 | | 18 | 20 | | 19 | 50 | | 20 | 23 | | 21 | 30 | | 22 | 78 | | 23 | 22 | | 24 | 19 | | 25 | 57 | | 26 | 2 | | 27 | 39 |
| |
| 87.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 78 | | matches | | 0 | "was amplified" | | 1 | "were locked" | | 2 | "were fixed" | | 3 | "being seemed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 97 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 881 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.022701475595913734 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.01021566401816118 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 11.58 | | std | 7.3 | | cv | 0.63 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 18 | | 3 | 16 | | 4 | 14 | | 5 | 17 | | 6 | 18 | | 7 | 25 | | 8 | 13 | | 9 | 18 | | 10 | 16 | | 11 | 6 | | 12 | 10 | | 13 | 19 | | 14 | 11 | | 15 | 13 | | 16 | 24 | | 17 | 5 | | 18 | 1 | | 19 | 7 | | 20 | 4 | | 21 | 15 | | 22 | 12 | | 23 | 7 | | 24 | 18 | | 25 | 10 | | 26 | 1 | | 27 | 17 | | 28 | 18 | | 29 | 10 | | 30 | 7 | | 31 | 19 | | 32 | 2 | | 33 | 15 | | 34 | 9 | | 35 | 2 | | 36 | 3 | | 37 | 3 | | 38 | 30 | | 39 | 4 | | 40 | 18 | | 41 | 8 | | 42 | 3 | | 43 | 19 | | 44 | 8 | | 45 | 2 | | 46 | 5 | | 47 | 9 | | 48 | 11 | | 49 | 16 |
| |
| 57.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4020618556701031 | | totalSentences | 97 | | uniqueOpeners | 39 | |
| 44.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 75 | | matches | | 0 | "Only two patrons remained, hunched" |
| | ratio | 0.013 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 75 | | matches | | 0 | "He paused, letting his eyes" | | 1 | "She kept her head down," | | 2 | "Her hand froze on the" | | 3 | "She turned slowly, her face" | | 4 | "His face was sharper than" | | 5 | "she said, her voice flat" | | 6 | "It wasn't a question." | | 7 | "He grinned, a wide, brilliant" | | 8 | "He closed the distance between" | | 9 | "He smelled of rain and" | | 10 | "She dropped the cloth into" | | 11 | "He looked around, taking in" | | 12 | "His gaze lingered on the" | | 13 | "She picked up a stray" | | 14 | "He leaned against the bar," | | 15 | "He didn’t say good, or" | | 16 | "It was worse." | | 17 | "It was honest." | | 18 | "He chuckled, a sound that" | | 19 | "It sounded hollow now." |
| | ratio | 0.653 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 75 | | matches | | 0 | "The damp cloth slid over" | | 1 | "Each scrape of the bar" | | 2 | "The stale scent of beer" | | 3 | "Aurora dragged the cloth through" | | 4 | "The heavy oak door groaned" | | 5 | "A silhouette stood framed in" | | 6 | "He paused, letting his eyes" | | 7 | "She kept her head down," | | 8 | "The voice was sharp with" | | 9 | "Her hand froze on the" | | 10 | "The name, her full name," | | 11 | "She turned slowly, her face" | | 12 | "The man took a step" | | 13 | "His face was sharper than" | | 14 | "The same bright, earnest blue." | | 15 | "she said, her voice flat" | | 16 | "It wasn't a question." | | 17 | "He grinned, a wide, brilliant" | | 18 | "He closed the distance between" | | 19 | "He smelled of rain and" |
| | ratio | 0.947 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Before Leo could say more," |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 2 | | matches | | 0 | "He paused, letting his eyes adjust, his posture radiating a confidence that grated." | | 1 | "The crescent-shaped scar on her wrist burned, a phantom pain that was more memory than sensation." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 5 | | matches | | 0 | "she said, her voice flat" | | 1 | "He leaned, his suit jacket pulling tight across his shoulders" | | 2 | "He chuckled, a sound that she remembered echoing through the university library" | | 3 | "He paused, his smile faltering for the first time" | | 4 | "he said, his voice dropping" |
| |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "He didn’t (do)" | | 1 | "He chuckled (chuckle)" |
| | dialogueSentences | 32 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0.333 | | effectiveRatio | 0.125 | |