| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 51 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.067 | | effectiveRatio | 0.039 | |
| 94.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1804 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 50.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1804 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "fluttered" | | 1 | "echo" | | 2 | "intensity" | | 3 | "throb" | | 4 | "chaotic" | | 5 | "amidst" | | 6 | "traced" | | 7 | "facade" | | 8 | "echoing" | | 9 | "silence" | | 10 | "eyebrow" | | 11 | "charged" | | 12 | "tension" | | 13 | "stark" | | 14 | "depths" | | 15 | "treacherous" | | 16 | "flicker" |
| |
| 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 | 1 | | narrationSentences | 116 | | matches | | |
| 93.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1795 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1155 | | uniqueNames | 12 | | maxNameDensity | 0.69 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 4 | | Edinburgh | 1 | | Brick | 1 | | Lane | 1 | | Cardiff | 1 | | London | 1 | | Rory | 8 | | Luc | 1 | | Final | 1 | | Lucien | 6 | | Commercial | 1 | | Street | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Luc" | | 3 | "Lucien" |
| | places | | 0 | "Edinburgh" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Cardiff" | | 4 | "London" | | 5 | "Commercial" | | 6 | "Street" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a physical touch" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.557 | | wordCount | 1795 | | matches | | 0 | "Not by bulk, but by a sheer, quiet certainty" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 149 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 28.95 | | std | 20.48 | | cv | 0.707 | | sampleLengths | | 0 | 45 | | 1 | 54 | | 2 | 1 | | 3 | 57 | | 4 | 36 | | 5 | 18 | | 6 | 27 | | 7 | 29 | | 8 | 68 | | 9 | 1 | | 10 | 22 | | 11 | 16 | | 12 | 2 | | 13 | 11 | | 14 | 27 | | 15 | 3 | | 16 | 7 | | 17 | 38 | | 18 | 13 | | 19 | 21 | | 20 | 1 | | 21 | 27 | | 22 | 42 | | 23 | 3 | | 24 | 58 | | 25 | 16 | | 26 | 5 | | 27 | 36 | | 28 | 8 | | 29 | 71 | | 30 | 14 | | 31 | 40 | | 32 | 23 | | 33 | 56 | | 34 | 52 | | 35 | 22 | | 36 | 16 | | 37 | 61 | | 38 | 46 | | 39 | 42 | | 40 | 19 | | 41 | 14 | | 42 | 19 | | 43 | 61 | | 44 | 36 | | 45 | 38 | | 46 | 19 | | 47 | 78 | | 48 | 56 | | 49 | 8 |
| |
| 84.09% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 116 | | matches | | 0 | "was gone" | | 1 | "was slicked" | | 2 | "was tailored" | | 3 | "was ripped" | | 4 | "was gone" | | 5 | "was gone" | | 6 | "was sealed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 192 | | matches | (empty) | |
| 66.16% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 149 | | ratio | 0.027 | | matches | | 0 | "And his eyes—one a warm, molten amber, the other a bottomless black—held her with an intensity that felt like a physical touch." | | 1 | "He didn’t touch her, but he was close enough that she could smell the subtle scent of his cologne—sandalwood and frost." | | 2 | "All the hurt, the lonely nights spent wondering what she’d done wrong, the anger that had been her fuel—it all curdled into a sharp, aching lump in her throat." | | 3 | "In his place was just Luc—a man standing in a messy flat, haunted and furious and scared." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1163 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.027515047291487533 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.007738607050730868 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 12.05 | | std | 9.34 | | cv | 0.776 | | sampleLengths | | 0 | 4 | | 1 | 10 | | 2 | 16 | | 3 | 15 | | 4 | 5 | | 5 | 11 | | 6 | 12 | | 7 | 13 | | 8 | 13 | | 9 | 1 | | 10 | 3 | | 11 | 7 | | 12 | 47 | | 13 | 7 | | 14 | 9 | | 15 | 5 | | 16 | 15 | | 17 | 18 | | 18 | 7 | | 19 | 14 | | 20 | 3 | | 21 | 3 | | 22 | 16 | | 23 | 13 | | 24 | 4 | | 25 | 5 | | 26 | 1 | | 27 | 12 | | 28 | 14 | | 29 | 10 | | 30 | 22 | | 31 | 1 | | 32 | 10 | | 33 | 12 | | 34 | 8 | | 35 | 8 | | 36 | 2 | | 37 | 11 | | 38 | 8 | | 39 | 6 | | 40 | 13 | | 41 | 3 | | 42 | 7 | | 43 | 5 | | 44 | 20 | | 45 | 6 | | 46 | 7 | | 47 | 13 | | 48 | 10 | | 49 | 11 |
| |
| 45.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.33557046979865773 | | totalSentences | 149 | | uniqueOpeners | 50 | |
| 31.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 107 | | matches | | 0 | "Just walked away, the echo" |
| | ratio | 0.009 | |
| 36.82% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 107 | | matches | | 0 | "She hadn’t been expecting anyone." | | 1 | "He was a smear of" | | 2 | "Her breath hitched." | | 3 | "She hadn’t seen him in" | | 4 | "She’d thrown the envelope back" | | 5 | "It had fluttered to the" | | 6 | "She hadn’t said a word." | | 7 | "He always knew." | | 8 | "She slid the bolts back," | | 9 | "She pulled the door open" | | 10 | "He looked exactly the same." | | 11 | "His platinum hair was slicked" | | 12 | "His voice was a low" | | 13 | "It did things to her" | | 14 | "Her voice came out flat," | | 15 | "It didn’t reach his mismatched" | | 16 | "She fought the urge to" | | 17 | "He leaned a fraction of" | | 18 | "She knew that." | | 19 | "She stepped back, opening the" |
| | ratio | 0.458 | |
| 30.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 107 | | matches | | 0 | "The knock was soft." | | 1 | "Rory was ankle-deep in Eva’s" | | 2 | "Ptolemy, the tabby, hissed from" | | 3 | "She hadn’t been expecting anyone." | | 4 | "Eva was in Edinburgh, chasing" | | 5 | "Rory stood, her knees cracking" | | 6 | "He was a smear of" | | 7 | "Her breath hitched." | | 8 | "She hadn’t seen him in" | | 9 | "She’d thrown the envelope back" | | 10 | "It had fluttered to the" | | 11 | "She hadn’t said a word." | | 12 | "Rory’s hand hovered over the" | | 13 | "Every instinct screamed to stay" | | 14 | "He always knew." | | 15 | "She slid the bolts back," | | 16 | "She pulled the door open" | | 17 | "The distortion was gone." | | 18 | "He looked exactly the same." | | 19 | "His platinum hair was slicked" |
| | ratio | 0.86 | |
| 93.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 107 | | matches | | 0 | "Now he was here, standing" | | 1 | "Now it hummed back to" |
| | ratio | 0.019 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 4 | | matches | | 0 | "Now he was here, standing outside Eva’s door on Brick Lane as if he’d just come for tea." | | 1 | "And his eyes—one a warm, molten amber, the other a bottomless black—held her with an intensity that felt like a physical touch." | | 2 | "But the part of her that was still the girl who’d fled Cardiff, the part that loved puzzles and dangerous information, that part was already turning the bolts." | | 3 | "All the hurt, the lonely nights spent wondering what she’d done wrong, the anger that had been her fuel—it all curdled into a sharp, aching lump in her throat." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "the cane tightened, the knuckles whitening" | | 1 | "she said, but the heat was gone from her words" | | 2 | "He looked away, a muscle ticking in his jaw" | | 3 | "she asked, her voice barely audible" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 51 | | tagDensity | 0.118 | | leniency | 0.235 | | rawRatio | 0.167 | | effectiveRatio | 0.039 | |