| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "He leaned back [back]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 57 | | tagDensity | 0.14 | | leniency | 0.281 | | rawRatio | 0.25 | | effectiveRatio | 0.07 | |
| 79.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1211 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "really" |
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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) | |
| 54.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1211 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "flickered" | | 1 | "familiar" | | 2 | "chill" | | 3 | "weight" | | 4 | "silence" | | 5 | "eyebrow" | | 6 | "measured" | | 7 | "glinting" | | 8 | "unspoken" |
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| 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 | 0 | | narrationSentences | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1203 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 906 | | uniqueNames | 8 | | maxNameDensity | 0.77 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Carter | 1 | | London | 1 | | Evan | 1 | | Blackwood | 1 | | Silas | 7 | | Wales | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Evan" | | 4 | "Blackwood" | | 5 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared in front of her, amber liquid catching the light" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1203 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 152 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 18.23 | | std | 16 | | cv | 0.878 | | sampleLengths | | 0 | 84 | | 1 | 42 | | 2 | 2 | | 3 | 39 | | 4 | 8 | | 5 | 7 | | 6 | 15 | | 7 | 52 | | 8 | 11 | | 9 | 48 | | 10 | 9 | | 11 | 8 | | 12 | 25 | | 13 | 3 | | 14 | 11 | | 15 | 6 | | 16 | 7 | | 17 | 22 | | 18 | 14 | | 19 | 9 | | 20 | 20 | | 21 | 36 | | 22 | 15 | | 23 | 11 | | 24 | 4 | | 25 | 33 | | 26 | 9 | | 27 | 1 | | 28 | 24 | | 29 | 10 | | 30 | 11 | | 31 | 26 | | 32 | 32 | | 33 | 35 | | 34 | 21 | | 35 | 14 | | 36 | 51 | | 37 | 10 | | 38 | 22 | | 39 | 8 | | 40 | 2 | | 41 | 18 | | 42 | 34 | | 43 | 17 | | 44 | 6 | | 45 | 11 | | 46 | 6 | | 47 | 6 | | 48 | 21 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 105 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 157 | | matches | | 0 | "was matching" | | 1 | "was watching" |
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| 48.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 152 | | ratio | 0.033 | | matches | | 0 | "The place hadn’t changed—same dim lighting, same maps yellowing on the walls, same hum of quiet conversation that made it feel like a secret." | | 1 | "Then a voice—deep, rough, familiar—cut through the murmur." | | 2 | "That was the thing about him—he let people come to him in their own time." | | 3 | "She looked at him—really looked at him—and saw the lines around his eyes, the way his jaw tightened when he thought no one was watching." | | 4 | "But for now, there was just this—two old friends, a half-empty glass, and the quiet understanding that some things never really changed." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 914 | | adjectiveStacks | 1 | | stackExamples | | 0 | "deep, rough, familiar—cut" |
| | adverbCount | 35 | | adverbRatio | 0.038293216630196934 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009846827133479213 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 7.91 | | std | 5.21 | | cv | 0.659 | | sampleLengths | | 0 | 20 | | 1 | 19 | | 2 | 21 | | 3 | 24 | | 4 | 15 | | 5 | 15 | | 6 | 4 | | 7 | 1 | | 8 | 7 | | 9 | 2 | | 10 | 12 | | 11 | 11 | | 12 | 12 | | 13 | 4 | | 14 | 8 | | 15 | 7 | | 16 | 3 | | 17 | 7 | | 18 | 5 | | 19 | 19 | | 20 | 14 | | 21 | 15 | | 22 | 2 | | 23 | 2 | | 24 | 6 | | 25 | 5 | | 26 | 5 | | 27 | 20 | | 28 | 15 | | 29 | 4 | | 30 | 4 | | 31 | 7 | | 32 | 2 | | 33 | 3 | | 34 | 5 | | 35 | 12 | | 36 | 10 | | 37 | 3 | | 38 | 3 | | 39 | 8 | | 40 | 3 | | 41 | 6 | | 42 | 5 | | 43 | 2 | | 44 | 14 | | 45 | 8 | | 46 | 14 | | 47 | 5 | | 48 | 4 | | 49 | 11 |
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| 51.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3157894736842105 | | totalSentences | 152 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 96 | | matches | | 0 | "Then a voice—deep, rough, familiar—cut" | | 1 | "Just studied her, like he" | | 2 | "Then he slid onto the" | | 3 | "Then his expression sobered." | | 4 | "Then he reached into his" |
| | ratio | 0.052 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 54 | | totalSentences | 96 | | matches | | 0 | "She hadn’t set foot in" | | 1 | "She slid onto a stool" | | 2 | "She didn’t recognise him." | | 3 | "She took a sip, let" | | 4 | "She didn’t look up." | | 5 | "Her fingers stilled." | | 6 | "She turned her head slowly." | | 7 | "He wore a dark wool" | | 8 | "His hazel eyes locked onto" | | 9 | "she said, her voice steady" | | 10 | "He didn’t answer right away." | | 11 | "She remembered that, too." | | 12 | "She didn’t ask." | | 13 | "He took a slow sip," | | 14 | "He chuckled, low and dry." | | 15 | "She swirled her whisky, watching" | | 16 | "She met his eyes then." | | 17 | "He leaned back slightly, the" | | 18 | "She took another sip, let" | | 19 | "It was the kind of" |
| | ratio | 0.563 | |
| 53.75% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 96 | | matches | | 0 | "The neon sign above The" | | 1 | "Rory Carter pushed through the" | | 2 | "She hadn’t set foot in" | | 3 | "The place hadn’t changed—same dim" | | 4 | "She slid onto a stool" | | 5 | "The bartender, a wiry man" | | 6 | "She didn’t recognise him." | | 7 | "That meant he didn’t recognise" | | 8 | "The glass appeared in front" | | 9 | "She took a sip, let" | | 10 | "The door swung open again," | | 11 | "She didn’t look up." | | 12 | "Her fingers stilled." | | 13 | "The glass hovered halfway to" | | 14 | "She turned her head slowly." | | 15 | "Silas Blackwood stood there, taller" | | 16 | "He wore a dark wool" | | 17 | "His hazel eyes locked onto" | | 18 | "she said, her voice steady" | | 19 | "He didn’t answer right away." |
| | ratio | 0.813 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 96 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 1 | | matches | | 0 | "The place hadn’t changed—same dim lighting, same maps yellowing on the walls, same hum of quiet conversation that made it feel like a secret." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice steady" | | 1 | "He leaned back, the stool creaking under his weight" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.088 | | leniency | 0.175 | | rawRatio | 0 | | effectiveRatio | 0 | |