| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1246 | | 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) | |
| 51.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1246 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "etching" | | 2 | "standard" | | 3 | "loomed" | | 4 | "pristine" | | 5 | "etched" | | 6 | "magnetic" | | 7 | "weight" | | 8 | "flicked" | | 9 | "velvet" | | 10 | "silence" |
| |
| 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 | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1246 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.78% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 980 | | uniqueNames | 15 | | maxNameDensity | 1.22 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 12 | | Calloway | 12 | | Camden | 1 | | Tube | 1 | | Veil | 2 | | Market | 1 | | Shade | 1 | | Nineteen | 1 | | Met | 2 | | Thames | 1 | | Underneath | 1 | | Halfway | 1 | | Compass | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Calloway" | | 3 | "Market" | | 4 | "Compass" |
| | places | | | globalScore | 0.888 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.803 | | wordCount | 1246 | | matches | | 0 | "not one voice but layered, like voices stacked through radio" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 37.76 | | std | 25.22 | | cv | 0.668 | | sampleLengths | | 0 | 60 | | 1 | 51 | | 2 | 55 | | 3 | 15 | | 4 | 35 | | 5 | 87 | | 6 | 24 | | 7 | 19 | | 8 | 8 | | 9 | 79 | | 10 | 29 | | 11 | 6 | | 12 | 44 | | 13 | 19 | | 14 | 79 | | 15 | 20 | | 16 | 68 | | 17 | 41 | | 18 | 27 | | 19 | 67 | | 20 | 44 | | 21 | 8 | | 22 | 8 | | 23 | 76 | | 24 | 7 | | 25 | 64 | | 26 | 53 | | 27 | 31 | | 28 | 3 | | 29 | 35 | | 30 | 7 | | 31 | 63 | | 32 | 14 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 111 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 986 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint blue-white spark" |
| | adverbCount | 33 | | adverbRatio | 0.033468559837728194 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005070993914807302 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 11.23 | | std | 7.75 | | cv | 0.691 | | sampleLengths | | 0 | 28 | | 1 | 13 | | 2 | 7 | | 3 | 12 | | 4 | 23 | | 5 | 9 | | 6 | 19 | | 7 | 20 | | 8 | 9 | | 9 | 5 | | 10 | 3 | | 11 | 2 | | 12 | 16 | | 13 | 3 | | 14 | 12 | | 15 | 6 | | 16 | 29 | | 17 | 15 | | 18 | 29 | | 19 | 7 | | 20 | 11 | | 21 | 5 | | 22 | 8 | | 23 | 12 | | 24 | 14 | | 25 | 10 | | 26 | 2 | | 27 | 12 | | 28 | 5 | | 29 | 3 | | 30 | 5 | | 31 | 11 | | 32 | 13 | | 33 | 2 | | 34 | 2 | | 35 | 23 | | 36 | 7 | | 37 | 21 | | 38 | 14 | | 39 | 15 | | 40 | 4 | | 41 | 2 | | 42 | 20 | | 43 | 20 | | 44 | 4 | | 45 | 11 | | 46 | 4 | | 47 | 4 | | 48 | 16 | | 49 | 15 |
| |
| 80.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5045045045045045 | | totalSentences | 111 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 82 | | matches | | 0 | "Only a faint etching of" | | 1 | "Only the leather of her" | | 2 | "Only the blue remnants of" | | 3 | "Then a glove, grey leather" |
| | ratio | 0.049 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 82 | | matches | | 0 | "He flipped open his notebook" | | 1 | "She turned the fabric over." | | 2 | "She let the fabric fall" | | 3 | "Her jaw tightened until the" | | 4 | "She pulled a compact from" | | 5 | "She closed the compass and" | | 6 | "She pointed with the torch" | | 7 | "He crouched, tapped a rail" | | 8 | "She photographed it twice." | | 9 | "She bagged the ring and" | | 10 | "She tapped the evidence bag" | | 11 | "he answered, but followed" | | 12 | "She reached into her pocket" | | 13 | "It no longer pointed forward." | | 14 | "It spun in reverse, full" |
| | ratio | 0.183 | |
| 75.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 82 | | matches | | 0 | "The weave frayed like dried" | | 1 | "Sergeant Calloway's voice bounced off" | | 2 | "He flipped open his notebook" | | 3 | "Quinn rose with military precision," | | 4 | "Salt-and-pepper hair caught stray light" | | 5 | "She turned the fabric over." | | 6 | "Calloway snorted and clicked his" | | 7 | "She let the fabric fall" | | 8 | "The Veil Market's entrance arch" | | 9 | "Bone tokens littered the tracks" | | 10 | "The air still held the" | | 11 | "Everything stopped at the outline" | | 12 | "Her jaw tightened until the" | | 13 | "A faint blue-white spark leapt" | | 14 | "Calloway yelped and jumped back." | | 15 | "Quinn crouched again and pressed" | | 16 | "The same spark crawled up" | | 17 | "She pulled a compact from" | | 18 | "Verdegris stained the casing like" | | 19 | "The needle inside, intentionally insurance" |
| | ratio | 0.768 | |
| 60.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 82 | | matches | | 0 | "Whoever or whatever had worn" |
| | ratio | 0.012 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 4 | | matches | | 0 | "Only a faint etching of interlocking circles that radiated heat against her palm even through latex." | | 1 | "The Veil Market's entrance arch loomed twenty metres back, its rusted iron sofa holding half a dozen stalls of illegal artefacts that had already vanished under…" | | 2 | "A woman's sole, size five, good leather, patterned with a heel spike that hadn't traded soles in any shoe shop this side of the Thames." | | 3 | "The permanent way corridor, the one the compass had locked on, exhaled a breath of colder air that smelled of wet chalk and ozone." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "Quinn ordered (order)" |
| | dialogueSentences | 28 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.5 | | effectiveRatio | 0.143 | |