| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 63 | | tagDensity | 0.048 | | leniency | 0.095 | | rawRatio | 0.333 | | effectiveRatio | 0.032 | |
| 95.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1235 | | totalAiIsmAdverbs | 1 | | 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) | |
| 31.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1235 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "warmth" | | 1 | "sanctuary" | | 2 | "weight" | | 3 | "charged" | | 4 | "predator" | | 5 | "tension" | | 6 | "variable" | | 7 | "trembled" | | 8 | "silence" | | 9 | "unspoken" | | 10 | "chaotic" | | 11 | "pulse" | | 12 | "racing" | | 13 | "echoed" | | 14 | "rhythmic" | | 15 | "calculated" | | 16 | "gleaming" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 59 | | matches | (empty) | |
| 94.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1234 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.94% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 701 | | uniqueNames | 10 | | maxNameDensity | 1.14 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Tuesday | 1 | | East | 1 | | London | 4 | | Eva | 2 | | Cardiff | 2 | | Avaros | 1 | | Lucien | 8 | | Welsh | 1 | | Aurora | 7 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Aurora" |
| | places | | 0 | "East" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Welsh" |
| | globalScore | 0.929 | | windowScore | 1 | |
| 43.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a predatory bird trapped in a" | | 1 | "felt like an insult" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.81 | | wordCount | 1234 | | matches | | 0 | "Not the stumbling gait of a drunk patron, but the calculated advance of men on a mission" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 14.87 | | std | 13.55 | | cv | 0.912 | | sampleLengths | | 0 | 26 | | 1 | 53 | | 2 | 5 | | 3 | 5 | | 4 | 1 | | 5 | 25 | | 6 | 6 | | 7 | 2 | | 8 | 39 | | 9 | 6 | | 10 | 18 | | 11 | 28 | | 12 | 14 | | 13 | 51 | | 14 | 9 | | 15 | 14 | | 16 | 15 | | 17 | 15 | | 18 | 18 | | 19 | 11 | | 20 | 38 | | 21 | 5 | | 22 | 8 | | 23 | 2 | | 24 | 36 | | 25 | 17 | | 26 | 2 | | 27 | 8 | | 28 | 3 | | 29 | 18 | | 30 | 38 | | 31 | 14 | | 32 | 23 | | 33 | 15 | | 34 | 13 | | 35 | 7 | | 36 | 23 | | 37 | 4 | | 38 | 5 | | 39 | 24 | | 40 | 3 | | 41 | 6 | | 42 | 44 | | 43 | 4 | | 44 | 10 | | 45 | 2 | | 46 | 6 | | 47 | 46 | | 48 | 23 | | 49 | 8 |
| |
| 93.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 59 | | matches | | 0 | "were blackened" | | 1 | "was filled" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 107 | | matches | (empty) | |
| 46.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 119 | | ratio | 0.034 | | matches | | 0 | "He paused in the centre of the cramped living room, his heterochromatic eyes—one amber, one void-black—sweeping over the stacks of research notes and overflowing bookshelves that defined Eva's sanctuary." | | 1 | "He didn't hand it to her; he held it just out of reach, letting the tension stretch between them like a wire." | | 2 | "The silence that followed wasn't empty; it was filled with the ghosts of every unspoken word they had shared in the shadows of the Welsh coast." | | 3 | "The front door of the flat didn't just open; it exploded inward." |
| |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 709 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, crescent-shaped scar" | | 1 | "ancient, leather-bound scrolls." |
| | adverbCount | 20 | | adverbRatio | 0.028208744710860368 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00846262341325811 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 10.37 | | std | 6.91 | | cv | 0.667 | | sampleLengths | | 0 | 8 | | 1 | 18 | | 2 | 24 | | 3 | 29 | | 4 | 5 | | 5 | 5 | | 6 | 1 | | 7 | 16 | | 8 | 6 | | 9 | 3 | | 10 | 6 | | 11 | 2 | | 12 | 29 | | 13 | 10 | | 14 | 6 | | 15 | 18 | | 16 | 16 | | 17 | 12 | | 18 | 14 | | 19 | 15 | | 20 | 12 | | 21 | 24 | | 22 | 9 | | 23 | 14 | | 24 | 15 | | 25 | 15 | | 26 | 18 | | 27 | 11 | | 28 | 3 | | 29 | 12 | | 30 | 23 | | 31 | 5 | | 32 | 8 | | 33 | 2 | | 34 | 13 | | 35 | 13 | | 36 | 10 | | 37 | 7 | | 38 | 10 | | 39 | 2 | | 40 | 8 | | 41 | 3 | | 42 | 18 | | 43 | 7 | | 44 | 9 | | 45 | 22 | | 46 | 14 | | 47 | 8 | | 48 | 15 | | 49 | 15 |
| |
| 48.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3445378151260504 | | totalSentences | 119 | | uniqueOpeners | 41 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | | ratio | 0.018 | |
| 41.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 56 | | matches | | 0 | "His tailored charcoal suit caught" | | 1 | "He stepped into the warmth" | | 2 | "He didn't wait for an" | | 3 | "He never did." | | 4 | "He paused in the centre" | | 5 | "He looked like a predatory" | | 6 | "He stepped closer." | | 7 | "It was the smell of" | | 8 | "He sniffed at Lucien’s polished" | | 9 | "He pulled out a small," | | 10 | "He didn't hand it to" | | 11 | "He dropped the parchment onto" | | 12 | "Her fingers trembled, just a" | | 13 | "He saw everything." | | 14 | "He always had." | | 15 | "He saw the parts of" | | 16 | "He moved then, a sudden," | | 17 | "He didn't touch her, but" | | 18 | "She stood her ground, her" | | 19 | "It was the first honest" |
| | ratio | 0.446 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 56 | | matches | | 0 | "The heavy iron bolt screeched" | | 1 | "Aurora yanked the door open," | | 2 | "Lucien Moreau stood in the" | | 3 | "His tailored charcoal suit caught" | | 4 | "The toast hit the floor." | | 5 | "He stepped into the warmth" | | 6 | "He didn't wait for an" | | 7 | "He never did." | | 8 | "He paused in the centre" | | 9 | "He looked like a predatory" | | 10 | "Lucien leaned his cane against" | | 11 | "Aurora crossed her arms, her" | | 12 | "The skin there always felt" | | 13 | "The air in the flat" | | 14 | "He stepped closer." | | 15 | "The scent of sandalwood and" | | 16 | "It was the smell of" | | 17 | "Ptolemy, the tabby cat, emerged" | | 18 | "He sniffed at Lucien’s polished" | | 19 | "Aurora asked, her voice dropping" |
| | ratio | 0.929 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "It was the smell of Avaros, of things that didn't belong in the sunlit world of Cardiff or the grease-stained streets of London." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora asked, her voice dropping" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 63 | | tagDensity | 0.016 | | leniency | 0.032 | | rawRatio | 0 | | effectiveRatio | 0 | |