| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Harlow pivoted back [back]" |
| | dialogueSentences | 32 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.083 | | effectiveRatio | 0.063 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1358 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 22.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1358 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "flicked" | | 1 | "weight" | | 2 | "depths" | | 3 | "roaring" | | 4 | "shattered" | | 5 | "loomed" | | 6 | "spectral" | | 7 | "mechanical" | | 8 | "aligned" | | 9 | "glint" | | 10 | "etched" | | 11 | "vibrated" | | 12 | "unwavering" | | 13 | "traced" | | 14 | "measured" | | 15 | "analyzed" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 86 | | matches | (empty) | |
| 93.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1350 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 836 | | uniqueNames | 15 | | maxNameDensity | 2.51 | | worstName | "Harlow" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Tube | 1 | | London | 2 | | Metropolitan | 1 | | Police | 1 | | Earth | 1 | | Veil | 1 | | Market | 1 | | Tyvek | 1 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Harlow | 21 | | Eva | 11 | | Victorian | 1 |
| | persons | | 0 | "Police" | | 1 | "Market" | | 2 | "Tyvek" | | 3 | "Kowalski" | | 4 | "Harlow" | | 5 | "Eva" | | 6 | "Victorian" |
| | places | | | globalScore | 0.244 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1350 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 39.71 | | std | 19.9 | | cv | 0.501 | | sampleLengths | | 0 | 84 | | 1 | 63 | | 2 | 53 | | 3 | 51 | | 4 | 58 | | 5 | 13 | | 6 | 45 | | 7 | 39 | | 8 | 34 | | 9 | 17 | | 10 | 78 | | 11 | 32 | | 12 | 84 | | 13 | 36 | | 14 | 34 | | 15 | 35 | | 16 | 16 | | 17 | 38 | | 18 | 17 | | 19 | 30 | | 20 | 24 | | 21 | 39 | | 22 | 17 | | 23 | 63 | | 24 | 26 | | 25 | 60 | | 26 | 21 | | 27 | 57 | | 28 | 12 | | 29 | 53 | | 30 | 37 | | 31 | 21 | | 32 | 44 | | 33 | 19 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 145 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 105 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 843 | | adjectiveStacks | 1 | | stackExamples | | 0 | "exact same physical line." |
| | adverbCount | 4 | | adverbRatio | 0.004744958481613286 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002372479240806643 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 12.86 | | std | 9.22 | | cv | 0.717 | | sampleLengths | | 0 | 14 | | 1 | 10 | | 2 | 7 | | 3 | 11 | | 4 | 9 | | 5 | 23 | | 6 | 10 | | 7 | 9 | | 8 | 5 | | 9 | 8 | | 10 | 21 | | 11 | 20 | | 12 | 12 | | 13 | 7 | | 14 | 8 | | 15 | 14 | | 16 | 12 | | 17 | 10 | | 18 | 4 | | 19 | 11 | | 20 | 4 | | 21 | 22 | | 22 | 8 | | 23 | 6 | | 24 | 11 | | 25 | 14 | | 26 | 19 | | 27 | 4 | | 28 | 9 | | 29 | 18 | | 30 | 27 | | 31 | 11 | | 32 | 5 | | 33 | 8 | | 34 | 6 | | 35 | 9 | | 36 | 19 | | 37 | 15 | | 38 | 3 | | 39 | 8 | | 40 | 6 | | 41 | 21 | | 42 | 12 | | 43 | 7 | | 44 | 38 | | 45 | 10 | | 46 | 12 | | 47 | 10 | | 48 | 4 | | 49 | 12 |
| |
| 59.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.37142857142857144 | | totalSentences | 105 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 85 | | matches | | 0 | "She flicked the chalk-white bone" | | 1 | "She ran a gloved hand" | | 2 | "Her sharp jaw tightened." | | 3 | "She hitched her worn leather" | | 4 | "She kept her spine rigid." | | 5 | "She crouched over the central" | | 6 | "She abandoned her crouch to" | | 7 | "Her boots crunched over the" | | 8 | "Her gaze caught a glint" | | 9 | "She utilized the tip of" | | 10 | "Her green eyes narrowed behind" | | 11 | "It locked onto an unwavering" | | 12 | "She marched out of the" | | 13 | "She retrieved a tactical flashlight" | | 14 | "She adjusted her grip on" | | 15 | "She kept her eyes locked" | | 16 | "She analyzed the angle of" | | 17 | "She stood in the direct" | | 18 | "She rested the heavy flashlight" | | 19 | "She unclasped her satchel." |
| | ratio | 0.247 | |
| 12.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 85 | | matches | | 0 | "The heavy steel grate of" | | 1 | "Harlow stepped past the yellow" | | 2 | "Bone dust clung to the" | | 3 | "The mandatory entry toll to" | | 4 | "She flicked the chalk-white bone" | | 5 | "The subterranean air tasted of" | | 6 | "A steep concrete ramp sloped" | | 7 | "Harlow marched into the depths." | | 8 | "Shadows stretched thick across the" | | 9 | "The Metropolitan Police possessed three" | | 10 | "Halogen work lights operated by" | | 11 | "The Veil Market sat in" | | 12 | "Canvas merchant tents lay slashed" | | 13 | "Glass vials and shattered display" | | 14 | "Stalls selling forbidden hexes, enchanted" | | 15 | "Harlow checked the worn leather" | | 16 | "She ran a gloved hand" | | 17 | "Her sharp jaw tightened." | | 18 | "Brown eyes locked onto the" | | 19 | "A smaller figure stood over" |
| | ratio | 0.894 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Harlow pressed (press)" |
| | dialogueSentences | 32 | | tagDensity | 0.031 | | leniency | 0.063 | | rawRatio | 1 | | effectiveRatio | 0.063 | |