| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 5 | | adverbTags | | 0 | "Rory having just [just]" | | 1 | "he said simply [simply]" | | 2 | "He glanced around [around]" | | 3 | "Rory replied quickly [quickly]" | | 4 | "he said quietly [quietly]" |
| | dialogueSentences | 31 | | tagDensity | 0.677 | | leniency | 1 | | rawRatio | 0.238 | | effectiveRatio | 0.238 | |
| 69.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 995 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "quickly" | | 3 | "slowly" | | 4 | "truly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 995 | | totalAiIsms | 24 | | found | | | highlights | | 0 | "beacon" | | 1 | "flicked" | | 2 | "hulking" | | 3 | "loomed" | | 4 | "glint" | | 5 | "sanctuary" | | 6 | "weight" | | 7 | "etched" | | 8 | "warmth" | | 9 | "echo" | | 10 | "charm" | | 11 | "familiar" | | 12 | "silence" | | 13 | "traced" | | 14 | "eyebrow" | | 15 | "unspoken" | | 16 | "fleeting" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 99.36% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 65 | | matches | | 0 | "filled with warmth" | | 1 | "d with warmth" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 987 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.26% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 837 | | uniqueNames | 6 | | maxNameDensity | 1.19 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Soho | 1 | | Silas | 5 | | Rory | 10 | | Evan | 4 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" |
| | places | | | globalScore | 0.903 | | windowScore | 1 | |
| 8.49% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed lost in thoughts, staring into the amber liquid of his glass as if it held the secrets to his regrets" | | 1 | "seemed altered" | | 2 | "seemed far away" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.026 | | wordCount | 987 | | matches | | 0 | "not uncomfortable but dense with unspoken tales" | | 1 | "not of something new, but of understanding, a fragile bridge built on the ashes of wha" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 30.84 | | std | 17.53 | | cv | 0.568 | | sampleLengths | | 0 | 88 | | 1 | 36 | | 2 | 23 | | 3 | 40 | | 4 | 13 | | 5 | 78 | | 6 | 24 | | 7 | 34 | | 8 | 29 | | 9 | 59 | | 10 | 31 | | 11 | 17 | | 12 | 33 | | 13 | 24 | | 14 | 10 | | 15 | 20 | | 16 | 35 | | 17 | 13 | | 18 | 34 | | 19 | 15 | | 20 | 36 | | 21 | 22 | | 22 | 28 | | 23 | 23 | | 24 | 12 | | 25 | 36 | | 26 | 24 | | 27 | 13 | | 28 | 29 | | 29 | 16 | | 30 | 45 | | 31 | 47 |
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| 94.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 65 | | matches | | 0 | "was etched" | | 1 | "were filled" | | 2 | "was bridged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 31.54% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 77 | | ratio | 0.039 | | matches | | 0 | "The Raven's Nest bustled with the usual hum of evening life—clinking glasses, muffled conversations, and the soft strain of jazz leaking from hidden speakers." | | 1 | "He managed a smile—a ghostly echo of the charm it once held." | | 2 | "His eyes drifted over the bar's decor—a collage of yesterdays memorialized in faded maps and black-and-white photographs—and for a second, he seemed far away." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 132 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.03787878787878788 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.007575757575757576 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 12.82 | | std | 7.7 | | cv | 0.601 | | sampleLengths | | 0 | 24 | | 1 | 15 | | 2 | 16 | | 3 | 23 | | 4 | 10 | | 5 | 24 | | 6 | 12 | | 7 | 4 | | 8 | 19 | | 9 | 13 | | 10 | 15 | | 11 | 12 | | 12 | 5 | | 13 | 8 | | 14 | 10 | | 15 | 4 | | 16 | 13 | | 17 | 28 | | 18 | 23 | | 19 | 24 | | 20 | 16 | | 21 | 18 | | 22 | 14 | | 23 | 15 | | 24 | 9 | | 25 | 4 | | 26 | 7 | | 27 | 27 | | 28 | 12 | | 29 | 8 | | 30 | 19 | | 31 | 4 | | 32 | 10 | | 33 | 7 | | 34 | 5 | | 35 | 21 | | 36 | 7 | | 37 | 24 | | 38 | 8 | | 39 | 2 | | 40 | 20 | | 41 | 11 | | 42 | 24 | | 43 | 13 | | 44 | 4 | | 45 | 30 | | 46 | 4 | | 47 | 11 | | 48 | 6 | | 49 | 10 |
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| 68.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.44155844155844154 | | totalSentences | 77 | | uniqueOpeners | 34 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | 0 | "Just then, the lone figure" |
| | ratio | 0.016 | |
| 26.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 62 | | matches | | 0 | "Her eyes flicked to the" | | 1 | "She headed to the bar," | | 2 | "His movements were slow, deliberate," | | 3 | "She slid onto a stool" | | 4 | "he nodded, a slight limp" | | 5 | "She hesitated just a moment." | | 6 | "she relented, her smile tired" | | 7 | "It wasn't crowded tonight." | | 8 | "It was him, undoubtedly." | | 9 | "His once youthful face was" | | 10 | "He managed a smile—a ghostly" | | 11 | "he said simply, rising from" | | 12 | "He walked over, each step" | | 13 | "she replied, her voice steadier" | | 14 | "He shrugged, the gesture awkward." | | 15 | "He glanced around the bar," | | 16 | "he said, settling onto the" | | 17 | "she began, her eyes now" | | 18 | "His voice trailed off, as" | | 19 | "He let the statement hang" |
| | ratio | 0.484 | |
| 16.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 62 | | matches | | 0 | "The Raven's Nest bustled with" | | 1 | "The distinctive green neon sign" | | 2 | "Rory, having just finished another" | | 3 | "Her eyes flicked to the" | | 4 | "She headed to the bar," | | 5 | "A hulking figure loomed over" | | 6 | "His movements were slow, deliberate," | | 7 | "She slid onto a stool" | | 8 | "Silas looked up, his eye" | | 9 | "he nodded, a slight limp" | | 10 | "She hesitated just a moment." | | 11 | "she relented, her smile tired" | | 12 | "It wasn't crowded tonight." | | 13 | "A young couple occupied a" | | 14 | "An older man at the" | | 15 | "Rory's eyes finally settled on" | | 16 | "The man turned slightly, and" | | 17 | "The name escaped her lips" | | 18 | "The weight of a thousand" | | 19 | "The man turned fully now," |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "An older man at the far end seemed lost in thoughts, staring into the amber liquid of his glass as if it held the secrets to his regrets." |
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| 29.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 4 | | matches | | 0 | "she replied, her voice steadier than she felt" | | 1 | "His voice trailed, as if the words carried more weight than he intended to reveal" | | 2 | "he confessed, his voice low" | | 3 | "Evan murmured, more to himself than to her" |
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| 20.97% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "he admitted (admit)" | | 1 | "he confessed (confess)" | | 2 | "Evan murmured (murmur)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 31 | | tagDensity | 0.355 | | leniency | 0.71 | | rawRatio | 0.364 | | effectiveRatio | 0.258 | |