| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 4 | | adverbTags | | 0 | "Thomas said abruptly [abruptly]" | | 1 | "Silas remembered too [too]" | | 2 | "Silas said quietly [quietly]" | | 3 | "Silas said slowly [slowly]" |
| | dialogueSentences | 39 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.222 | | effectiveRatio | 0.205 | |
| 86.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1459 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "softly" | | 2 | "really" |
| |
| 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) | |
| 62.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1459 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "crystal" | | 1 | "familiar" | | 2 | "scanning" | | 3 | "flicker" | | 4 | "flicked" | | 5 | "charm" | | 6 | "silence" | | 7 | "flickered" | | 8 | "weight" | | 9 | "unspoken" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "let out a breath" | | 1 | "hung in the air" | | 2 | "A flicker of recognition" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 104 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1449 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 20.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1085 | | uniqueNames | 13 | | maxNameDensity | 2.58 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Silas" | | discoveredNames | | Blackwood | 1 | | Raven | 1 | | Nest | 1 | | Thursday | 1 | | Miles | 2 | | Davis | 3 | | Silas | 28 | | Carver | 2 | | Thomas | 20 | | Laphroaig | 1 | | Morton | 1 | | Bristol | 1 | | Budapest | 1 |
| | persons | | 0 | "Blackwood" | | 1 | "Raven" | | 2 | "Davis" | | 3 | "Silas" | | 4 | "Carver" | | 5 | "Thomas" | | 6 | "Morton" |
| | places | | | globalScore | 0.21 | | windowScore | 0.333 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a photograph left too long in" | | 1 | "quite a laugh" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1449 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 124 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 36.23 | | std | 24.4 | | cv | 0.674 | | sampleLengths | | 0 | 87 | | 1 | 9 | | 2 | 61 | | 3 | 35 | | 4 | 14 | | 5 | 26 | | 6 | 69 | | 7 | 12 | | 8 | 16 | | 9 | 26 | | 10 | 53 | | 11 | 24 | | 12 | 5 | | 13 | 27 | | 14 | 26 | | 15 | 59 | | 16 | 38 | | 17 | 5 | | 18 | 95 | | 19 | 9 | | 20 | 26 | | 21 | 35 | | 22 | 14 | | 23 | 43 | | 24 | 34 | | 25 | 10 | | 26 | 51 | | 27 | 74 | | 28 | 14 | | 29 | 36 | | 30 | 76 | | 31 | 24 | | 32 | 80 | | 33 | 34 | | 34 | 29 | | 35 | 24 | | 36 | 40 | | 37 | 9 | | 38 | 24 | | 39 | 76 |
| |
| 88.39% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 104 | | matches | | 0 | "were scarred" | | 1 | "was written" | | 2 | "was gone" | | 3 | "been beaten" | | 4 | "been hollowed" | | 5 | "was retired" |
| |
| 63.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 196 | | matches | | 0 | "was polishing" | | 1 | "was scratching" | | 2 | "was setting" | | 3 | "were laughing" |
| |
| 27.65% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 124 | | ratio | 0.04 | | matches | | 0 | "The Raven's Nest was quiet for a Thursday—a few regulars nursing pints at the corner, the soft crackle of Miles Davis from the old turntable behind the bar." | | 1 | "He paused at the threshold, scanning the room with a wariness that Silas recognized—the kind that came from too many years of watching your back." | | 2 | "Thomas Carver used to have the kind of presence that filled a room—loud, confident, reckless." | | 3 | "Silas limped behind the bar, poured two fingers of Laphroaig into a crystal tumbler—the good stuff, saved for moments like this—and brought it over with a second glass for himself." | | 4 | "The sun was setting behind them, and they were laughing at something—he couldn’t remember what." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1092 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03296703296703297 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007326007326007326 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 11.69 | | std | 8.07 | | cv | 0.69 | | sampleLengths | | 0 | 16 | | 1 | 25 | | 2 | 28 | | 3 | 18 | | 4 | 9 | | 5 | 3 | | 6 | 24 | | 7 | 25 | | 8 | 3 | | 9 | 6 | | 10 | 4 | | 11 | 20 | | 12 | 7 | | 13 | 4 | | 14 | 14 | | 15 | 20 | | 16 | 3 | | 17 | 3 | | 18 | 6 | | 19 | 20 | | 20 | 16 | | 21 | 15 | | 22 | 12 | | 23 | 6 | | 24 | 6 | | 25 | 11 | | 26 | 5 | | 27 | 18 | | 28 | 8 | | 29 | 4 | | 30 | 19 | | 31 | 30 | | 32 | 9 | | 33 | 8 | | 34 | 7 | | 35 | 5 | | 36 | 17 | | 37 | 10 | | 38 | 13 | | 39 | 13 | | 40 | 3 | | 41 | 7 | | 42 | 11 | | 43 | 29 | | 44 | 9 | | 45 | 13 | | 46 | 25 | | 47 | 3 | | 48 | 2 | | 49 | 3 |
| |
| 45.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.28225806451612906 | | totalSentences | 124 | | uniqueOpeners | 35 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 96 | | matches | | 0 | "Once, Silas would have had" | | 1 | "Then he reached into his" |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 96 | | matches | | 0 | "He set the glass down" | | 1 | "He paused at the threshold," | | 2 | "Their eyes met." | | 3 | "He knew that jawline, the" | | 4 | "He stopped an arm’s length" | | 5 | "He slid into the worn" | | 6 | "His knuckles were scarred, the" | | 7 | "He set the glass down" | | 8 | "He looked up, and there" | | 9 | "He didn’t need to." | | 10 | "He had a laugh that" | | 11 | "He said nothing." | | 12 | "He gestured at himself, a" | | 13 | "He should get up, flip" | | 14 | "He saw the tremor in" | | 15 | "It had belonged to his" | | 16 | "He slid it across the" | | 17 | "It was the two of" | | 18 | "They’d both had their whole" | | 19 | "They’d both been sure they" |
| | ratio | 0.25 | |
| 17.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 96 | | matches | | 0 | "The green neon sign hummed" | | 1 | "Silas Blackwood was polishing a" | | 2 | "The Raven's Nest was quiet" | | 3 | "He set the glass down" | | 4 | "The door opened with a" | | 5 | "Silas looked up." | | 6 | "The man who entered was" | | 7 | "He paused at the threshold," | | 8 | "Their eyes met." | | 9 | "A flicker of recognition, then" | | 10 | "Silas tilted his head." | | 11 | "He knew that jawline, the" | | 12 | "Someone twenty years younger." | | 13 | "The name came out rough," | | 14 | "The man stepped forward, and" | | 15 | "Silas set down the towel" | | 16 | "He stopped an arm’s length" | | 17 | "Thomas Carver used to have" | | 18 | "The understatement sat heavy between" | | 19 | "Thomas’s eyes dropped to Silas’s" |
| | ratio | 0.885 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 96 | | matches | | 0 | "Now he looked like a" | | 1 | "Now the laugh was gone," |
| | ratio | 0.021 | |
| 55.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 5 | | matches | | 0 | "Silas Blackwood was polishing a glass that didn't need polishing, watching the ghost of his own reflection warp in the bulbous curve of the crystal." | | 1 | "The man who entered was thin in a way that suggested recent loss, his coat hanging loose on shoulders that had once been broad." | | 2 | "He paused at the threshold, scanning the room with a wariness that Silas recognized—the kind that came from too many years of watching your back." | | 3 | "Thomas Carver used to have the kind of presence that filled a room—loud, confident, reckless." | | 4 | "He slid into the worn leather, his coat falling open to reveal a sweater that had seen better days." |
| |
| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "The name came out, a question he already knew the answer to" | | 1 | "Thomas broke, jaw tight" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.179 | | leniency | 0.359 | | rawRatio | 0 | | effectiveRatio | 0 | |