| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 39 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.067 | | effectiveRatio | 0.051 | |
| 95.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1005 | | 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) | |
| 20.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1005 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "echoing" | | 1 | "chaotic" | | 2 | "perfect" | | 3 | "intricate" | | 4 | "etched" | | 5 | "standard" | | 6 | "silence" | | 7 | "unwavering" | | 8 | "flickered" | | 9 | "tinged" | | 10 | "trembled" | | 11 | "footsteps" | | 12 | "echoed" | | 13 | "weight" |
| |
| 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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1005 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 715 | | uniqueNames | 5 | | maxNameDensity | 1.96 | | worstName | "Carter" | | maxWindowNameDensity | 4 | | worstWindowName | "Carter" | | discoveredNames | | Carter | 14 | | Harlow | 1 | | Quinn | 10 | | Northern | 1 | | Morris | 1 |
| | persons | | 0 | "Carter" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.521 | | windowScore | 0.333 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "as if waiting for a delayed train" | | 1 | "felt like ice against her leg" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.995 | | wordCount | 1005 | | matches | | 0 | "Not the cloudiness of death, but a perfect, opaque white, like cataracts formed in an instant" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 20.94 | | std | 15.23 | | cv | 0.728 | | sampleLengths | | 0 | 8 | | 1 | 43 | | 2 | 51 | | 3 | 31 | | 4 | 14 | | 5 | 1 | | 6 | 23 | | 7 | 51 | | 8 | 21 | | 9 | 49 | | 10 | 7 | | 11 | 9 | | 12 | 63 | | 13 | 8 | | 14 | 31 | | 15 | 11 | | 16 | 21 | | 17 | 37 | | 18 | 10 | | 19 | 13 | | 20 | 3 | | 21 | 17 | | 22 | 2 | | 23 | 16 | | 24 | 7 | | 25 | 30 | | 26 | 9 | | 27 | 35 | | 28 | 19 | | 29 | 33 | | 30 | 19 | | 31 | 4 | | 32 | 15 | | 33 | 30 | | 34 | 13 | | 35 | 23 | | 36 | 17 | | 37 | 20 | | 38 | 24 | | 39 | 4 | | 40 | 44 | | 41 | 8 | | 42 | 14 | | 43 | 11 | | 44 | 5 | | 45 | 14 | | 46 | 15 | | 47 | 52 |
| |
| 93.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 92 | | matches | | 0 | "were etched" | | 1 | "was disturbed" | | 2 | "was etched" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 113 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 115 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 715 | | adjectiveStacks | 1 | | stackExamples | | 0 | "perfect, opaque white, like" |
| | adverbCount | 17 | | adverbRatio | 0.023776223776223775 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.013986013986013986 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 8.74 | | std | 5.7 | | cv | 0.652 | | sampleLengths | | 0 | 8 | | 1 | 16 | | 2 | 16 | | 3 | 11 | | 4 | 5 | | 5 | 12 | | 6 | 10 | | 7 | 14 | | 8 | 10 | | 9 | 2 | | 10 | 2 | | 11 | 10 | | 12 | 3 | | 13 | 3 | | 14 | 11 | | 15 | 5 | | 16 | 9 | | 17 | 1 | | 18 | 23 | | 19 | 12 | | 20 | 4 | | 21 | 13 | | 22 | 5 | | 23 | 1 | | 24 | 16 | | 25 | 14 | | 26 | 7 | | 27 | 8 | | 28 | 3 | | 29 | 8 | | 30 | 1 | | 31 | 7 | | 32 | 4 | | 33 | 2 | | 34 | 9 | | 35 | 7 | | 36 | 7 | | 37 | 9 | | 38 | 6 | | 39 | 2 | | 40 | 3 | | 41 | 5 | | 42 | 27 | | 43 | 10 | | 44 | 7 | | 45 | 3 | | 46 | 5 | | 47 | 3 | | 48 | 26 | | 49 | 5 |
| |
| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.45217391304347826 | | totalSentences | 115 | | uniqueOpeners | 52 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 83 | | matches | | 0 | "He stood over the body," | | 1 | "She took in the scene" | | 2 | "Its light pooled on the" | | 3 | "His face was turned toward" | | 4 | "She ignored Carter's sigh." | | 5 | "Her worn leather watch felt" | | 6 | "She recognised the style." | | 7 | "she said, her voice flat" | | 8 | "She stood, her movements economical." | | 9 | "she said, not turning around" | | 10 | "She heard Carter's latex gloves" | | 11 | "Its face was etched with" | | 12 | "It was spinning." | | 13 | "She looked back at the" | | 14 | "he said finally" | | 15 | "He walked back toward the" | | 16 | "She thought of the bone" | | 17 | "She thought of a market" | | 18 | "It hung vertically, a tear" | | 19 | "She kept her eyes on" |
| | ratio | 0.277 | |
| 50.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 83 | | matches | | 0 | "The tunnel smelled of wet" | | 1 | "DS Carter said, his voice" | | 2 | "He stood over the body," | | 3 | "Detective Harlow Quinn didn't answer." | | 4 | "She took in the scene" | | 5 | "The abandoned Northern line platform" | | 6 | "Graffiti formed a chaotic halo" | | 7 | "Its light pooled on the" | | 8 | "His face was turned toward" | | 9 | "Quinn knelt, the cold damp" | | 10 | "She ignored Carter's sigh." | | 11 | "Her worn leather watch felt" | | 12 | "The boy's eyes were open." | | 13 | "Carter pointed to a small," | | 14 | "Quinn picked it up with" | | 15 | "A token, carved from something" | | 16 | "She recognised the style." | | 17 | "The file she wasn't supposed" | | 18 | "she said, her voice flat" | | 19 | "Quinn's gaze swept the immediate" |
| | ratio | 0.819 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "The air coming from it was colder, carrying a scent that was out of place: ozone, and something sweetly metallic, like old pennies." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 7 | | matches | | 0 | "DS Carter said, his voice echoing off the curved tiles" | | 1 | "she said, her voice flat" | | 2 | "she said, not turning around" | | 3 | "Carter said, but the words lacked conviction" | | 4 | "Carter shrugged, but his eyes stayed on the tunnel" | | 5 | "Carter stepped, his voice dropping" | | 6 | "she said, her voice carrying back to him" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Carter continued (continue)" |
| | dialogueSentences | 39 | | tagDensity | 0.205 | | leniency | 0.41 | | rawRatio | 0.125 | | effectiveRatio | 0.051 | |