| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 41 | | tagDensity | 0.415 | | leniency | 0.829 | | rawRatio | 0.059 | | effectiveRatio | 0.049 | |
| 94.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 929 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 929 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "scanning" | | 1 | "echoes" | | 2 | "echoing" | | 3 | "amidst" | | 4 | "etched" | | 5 | "dancing" | | 6 | "racing" | | 7 | "glint" | | 8 | "intricate" | | 9 | "furrowed" | | 10 | "familiar" | | 11 | "tracing" | | 12 | "tinged" | | 13 | "flicker" | | 14 | "furrowing" | | 15 | "raced" | | 16 | "resolve" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "The air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 74 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 929 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.27% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 673 | | uniqueNames | 12 | | maxNameDensity | 2.67 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 18 | | Tube | 1 | | Camden | 1 | | Veil | 4 | | Market | 3 | | Inspector | 1 | | Davies | 11 | | Compass | 1 | | Morris | 1 | | Kowalski | 1 | | Eva | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Inspector" | | 4 | "Davies" | | 5 | "Morris" | | 6 | "Kowalski" | | 7 | "Eva" |
| | places | (empty) | | globalScore | 0.163 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 929 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 21.6 | | std | 13.56 | | cv | 0.628 | | sampleLengths | | 0 | 5 | | 1 | 55 | | 2 | 47 | | 3 | 43 | | 4 | 33 | | 5 | 8 | | 6 | 15 | | 7 | 54 | | 8 | 9 | | 9 | 7 | | 10 | 13 | | 11 | 7 | | 12 | 40 | | 13 | 11 | | 14 | 16 | | 15 | 38 | | 16 | 16 | | 17 | 12 | | 18 | 15 | | 19 | 48 | | 20 | 13 | | 21 | 12 | | 22 | 25 | | 23 | 9 | | 24 | 30 | | 25 | 22 | | 26 | 16 | | 27 | 34 | | 28 | 32 | | 29 | 7 | | 30 | 24 | | 31 | 11 | | 32 | 18 | | 33 | 16 | | 34 | 12 | | 35 | 11 | | 36 | 20 | | 37 | 10 | | 38 | 24 | | 39 | 18 | | 40 | 11 | | 41 | 32 | | 42 | 30 |
| |
| 95.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 74 | | matches | | 0 | "were lined" | | 1 | "been scrawled" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 98 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 673 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.022288261515601784 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007429420505200594 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 9.48 | | std | 5.46 | | cv | 0.576 | | sampleLengths | | 0 | 5 | | 1 | 16 | | 2 | 20 | | 3 | 13 | | 4 | 4 | | 5 | 1 | | 6 | 1 | | 7 | 16 | | 8 | 12 | | 9 | 19 | | 10 | 12 | | 11 | 14 | | 12 | 3 | | 13 | 14 | | 14 | 22 | | 15 | 11 | | 16 | 3 | | 17 | 5 | | 18 | 2 | | 19 | 13 | | 20 | 7 | | 21 | 16 | | 22 | 12 | | 23 | 19 | | 24 | 5 | | 25 | 4 | | 26 | 7 | | 27 | 10 | | 28 | 3 | | 29 | 7 | | 30 | 11 | | 31 | 11 | | 32 | 7 | | 33 | 11 | | 34 | 11 | | 35 | 7 | | 36 | 9 | | 37 | 4 | | 38 | 9 | | 39 | 5 | | 40 | 20 | | 41 | 10 | | 42 | 6 | | 43 | 8 | | 44 | 4 | | 45 | 15 | | 46 | 19 | | 47 | 7 | | 48 | 18 | | 49 | 2 |
| |
| 67.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.41836734693877553 | | totalSentences | 98 | | uniqueOpeners | 41 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 67 | | matches | | 0 | "He stood by a makeshift" | | 1 | "Her fingers brushed the edge" | | 2 | "She pocketed it, noting the" | | 3 | "She turned her attention to" | | 4 | "She knelt, retrieving a bone" | | 5 | "She held it up to" | | 6 | "she murmured, more to herself" | | 7 | "Her mind was a whirl" | | 8 | "she said finally, her voice" | | 9 | "She moved to the far" | | 10 | "They were crude, hastily drawn," | | 11 | "Her mind flashed back to" | | 12 | "she said, gesturing to the" | | 13 | "It all pointed to something" | | 14 | "she said, turning to face" | | 15 | "She just had to find" | | 16 | "She tensed, her hand instinctively" | | 17 | "she called, her voice steady" | | 18 | "she said, her tone softening" |
| | ratio | 0.284 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 67 | | matches | | 0 | "Detective Harlow Quinn stepped over" | | 1 | "The abandoned Tube station beneath" | | 2 | "The air was thick with" | | 3 | "Copper stung her nostrils." | | 4 | "Detective Inspector Davies waved her" | | 5 | "He stood by a makeshift" | | 6 | "Quinn asked, crouching beside a" | | 7 | "Her fingers brushed the edge" | | 8 | "The Veil Compass." | | 9 | "She pocketed it, noting the" | | 10 | "Davies replied, flipping through his" | | 11 | "Quinn's eyes narrowed." | | 12 | "Quinn stood, her gaze sweeping" | | 13 | "The walls were lined with" | | 14 | "A flickering bulb cast long" | | 15 | "She turned her attention to" | | 16 | "Davies suggested, his tone sceptical" | | 17 | "Quinn countered, her mind racing" | | 18 | "Quinn's eyes caught a glint" | | 19 | "She knelt, retrieving a bone" |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "She pocketed it, noting the verdigris patina that hinted at its age and use." | | 1 | "Her mind flashed back to her partner, DS Morris, and the case that had taken him from her." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 11 | | matches | | 0 | "Detective Inspector Davies waved, his voice echoing off the tiled walls" | | 1 | "Davies suggested, his tone sceptical" | | 2 | "Quinn countered, her mind racing through possibilities" | | 3 | "she murmured, more to herself than to Davies" | | 4 | "Davies added, his brow furrowed" | | 5 | "she said finally, her voice low" | | 6 | "Quinn replied, a hint of a smile playing at her lips" | | 7 | "she said, turning to face Davies" | | 8 | "she called, her voice steady" | | 9 | "she said, her tone softening" | | 10 | "Quinn asked, her curiosity piqued" |
| |
| 28.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 5 | | fancyTags | | 0 | "she observed (observe)" | | 1 | "Davies suggested (suggest)" | | 2 | "she murmured (murmur)" | | 3 | "Davies added (add)" | | 4 | "Davies repeated (repeat)" |
| | dialogueSentences | 41 | | tagDensity | 0.366 | | leniency | 0.732 | | rawRatio | 0.333 | | effectiveRatio | 0.244 | |