| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.435 | | leniency | 0.87 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1342 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "very" | | 2 | "tightly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 29.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1342 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "whisper" | | 1 | "echoed" | | 2 | "comfortable" | | 3 | "looming" | | 4 | "gloom" | | 5 | "coded" | | 6 | "complex" | | 7 | "glinting" | | 8 | "calculating" | | 9 | "silence" | | 10 | "implication" | | 11 | "sinister" | | 12 | "calculated" | | 13 | "charged" | | 14 | "dancing" | | 15 | "cacophony" | | 16 | "rhythmic" |
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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 | 129 | | matches | (empty) | |
| 87.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 129 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1338 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1191 | | uniqueNames | 15 | | maxNameDensity | 0.84 | | worstName | "Herrera" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Herrera | 10 | | Alistair | 1 | | Finch | 1 | | Shaftesbury | 1 | | Avenue | 1 | | Veil | 1 | | Market | 1 | | Camden | 1 | | Davies | 2 | | Tube | 1 | | Harlow | 1 | | Quinn | 2 |
| | persons | | 0 | "Raven" | | 1 | "Herrera" | | 2 | "Alistair" | | 3 | "Finch" | | 4 | "Davies" | | 5 | "Harlow" | | 6 | "Quinn" |
| | places | | 0 | "Soho" | | 1 | "Shaftesbury" | | 2 | "Avenue" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 1 | | matches | | 0 | "corridor that seemed to lead even deeper into the earth" |
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| 50.52% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.495 | | wordCount | 1338 | | matches | | 0 | "not really, but he was driven by a desperate kind of energy" | | 1 | "Not at the guards, but *past* them, using their surprise as cover" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 142 | | matches | | 0 | "feeling that something" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 27.31 | | std | 22.72 | | cv | 0.832 | | sampleLengths | | 0 | 59 | | 1 | 61 | | 2 | 82 | | 3 | 96 | | 4 | 29 | | 5 | 3 | | 6 | 54 | | 7 | 70 | | 8 | 38 | | 9 | 19 | | 10 | 11 | | 11 | 11 | | 12 | 21 | | 13 | 15 | | 14 | 20 | | 15 | 4 | | 16 | 4 | | 17 | 13 | | 18 | 29 | | 19 | 21 | | 20 | 9 | | 21 | 5 | | 22 | 19 | | 23 | 5 | | 24 | 24 | | 25 | 24 | | 26 | 25 | | 27 | 55 | | 28 | 21 | | 29 | 13 | | 30 | 58 | | 31 | 40 | | 32 | 12 | | 33 | 15 | | 34 | 65 | | 35 | 20 | | 36 | 31 | | 37 | 52 | | 38 | 16 | | 39 | 35 | | 40 | 5 | | 41 | 4 | | 42 | 10 | | 43 | 56 | | 44 | 5 | | 45 | 15 | | 46 | 29 | | 47 | 5 | | 48 | 5 |
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| 99.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 129 | | matches | | 0 | "was driven" | | 1 | "was pulled" |
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| 11.32% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 212 | | matches | | 0 | "was getting" | | 1 | "was weaving" | | 2 | "was heading" | | 3 | "was gaining" | | 4 | "was wearing" | | 5 | "were moving" |
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| 82.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 142 | | ratio | 0.021 | | matches | | 0 | "Ahead, a flash of dark green – the distinctive sign of The Raven’s Nest." | | 1 | "Strange objects gleamed on display – bottles filled with glowing liquids, antique weapons, carved figurines with unsettling eyes." | | 2 | "A cacophony of sounds washed over me – unintelligible chatter, the clinking of glass, the rhythmic beat of distant drums." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 129 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.031007751937984496 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 9.42 | | std | 6.06 | | cv | 0.644 | | sampleLengths | | 0 | 12 | | 1 | 15 | | 2 | 14 | | 3 | 18 | | 4 | 1 | | 5 | 2 | | 6 | 3 | | 7 | 5 | | 8 | 26 | | 9 | 2 | | 10 | 2 | | 11 | 5 | | 12 | 15 | | 13 | 5 | | 14 | 15 | | 15 | 14 | | 16 | 12 | | 17 | 17 | | 18 | 6 | | 19 | 6 | | 20 | 5 | | 21 | 2 | | 22 | 19 | | 23 | 10 | | 24 | 10 | | 25 | 9 | | 26 | 28 | | 27 | 9 | | 28 | 11 | | 29 | 20 | | 30 | 9 | | 31 | 3 | | 32 | 6 | | 33 | 8 | | 34 | 18 | | 35 | 8 | | 36 | 13 | | 37 | 1 | | 38 | 8 | | 39 | 7 | | 40 | 4 | | 41 | 4 | | 42 | 11 | | 43 | 5 | | 44 | 9 | | 45 | 10 | | 46 | 12 | | 47 | 18 | | 48 | 20 | | 49 | 11 |
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| 51.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.3873239436619718 | | totalSentences | 142 | | uniqueOpeners | 55 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 117 | | matches | | 0 | "well, current was the problem." | | 1 | "Of course he did." | | 2 | "Then I saw *her*." |
| | ratio | 0.026 | |
| 42.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 117 | | matches | | 0 | "He’d bolted from" | | 1 | "He’d been a whisper in" | | 2 | "I pushed off, gaining ground." | | 3 | "He wasn't fast, not really," | | 4 | "He cut across Shaftesbury Avenue," | | 5 | "My watch, a worn leather" | | 6 | "I hadn’t bothered with a" | | 7 | "He veered hard into a" | | 8 | "He picked up speed, his" | | 9 | "I followed, pulling my scarf" | | 10 | "They wore long, black coats," | | 11 | "They didn’t acknowledge me, their" | | 12 | "I’d heard the stories, of" | | 13 | "It was just me." | | 14 | "I stopped a few feet" | | 15 | "He knew my name." | | 16 | "I replied, keeping my voice" | | 17 | "He didn't crack a smile." | | 18 | "I nodded towards the open" | | 19 | "I let the silence hang," |
| | ratio | 0.444 | |
| 88.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 117 | | matches | | 0 | "The cobblestones slicked under my" | | 1 | "Rain lashed against my face," | | 2 | "He’d bolted from" | | 3 | "He’d been a whisper in" | | 4 | "People connected to the clique." | | 5 | "I pushed off, gaining ground." | | 6 | "He wasn't fast, not really," | | 7 | "He cut across Shaftesbury Avenue," | | 8 | "The sound echoed off the" | | 9 | "My watch, a worn leather" | | 10 | "I hadn’t bothered with a" | | 11 | "He veered hard into a" | | 12 | "The air felt colder here," | | 13 | "He picked up speed, his" | | 14 | "I followed, pulling my scarf" | | 15 | "The alley opened onto a" | | 16 | "They wore long, black coats," | | 17 | "They didn’t acknowledge me, their" | | 18 | "The door hissed open, revealing" | | 19 | "The Veil Market." |
| | ratio | 0.744 | |
| 42.74% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 117 | | matches | | 0 | "And, lately, rumors of the" |
| | ratio | 0.009 | |
| 42.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 7 | | matches | | 0 | "He’d been a whisper in the background of several cases, a ghost providing off-the-books treatment to people who preferred not to be seen by legitimate doctors." | | 1 | "He cut across Shaftesbury Avenue, narrowly avoiding a black cab that blasted its horn." | | 2 | "The alley opened onto a far more unsettling sight: a metal door, flush with the brickwork, guarded by two men who looked less like bouncers and more like…" | | 3 | "Something that wouldn’t be understood by a room full of uniformed officers." | | 4 | "The two guards finally acknowledged my presence, their eyes, glinting in the dim light, assessing me with cold, calculating precision." | | 5 | "The stairs spiraled downwards into darkness, lit only by flickering gas lamps that cast dancing shadows on the rough-hewn walls." | | 6 | "Something that made the hairs on the back of my neck stand on end." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "I stated, my voice steely" | | 1 | "I said, my voice barely a whisper" |
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| 63.04% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "I stated (state)" | | 1 | "I muttered (mutter)" |
| | dialogueSentences | 23 | | tagDensity | 0.217 | | leniency | 0.435 | | rawRatio | 0.4 | | effectiveRatio | 0.174 | |