| 21.43% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 5 | | adverbTags | | 0 | "Quinn knelt again [again]" | | 1 | "She crossed back [back]" | | 2 | "Quinn moved back [back]" | | 3 | "Quinn sat back [back]" | | 4 | "she said quietly [quietly]" |
| | dialogueSentences | 56 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.25 | | effectiveRatio | 0.179 | |
| 74.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1375 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "carefully" | | 1 | "lazily" | | 2 | "slowly" | | 3 | "precisely" | | 4 | "gently" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 74.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1375 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "echoed" | | 1 | "weight" | | 2 | "etched" | | 3 | "magnetic" | | 4 | "glint" | | 5 | "intricate" |
| |
| 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 | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1365 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 42.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 973 | | uniqueNames | 9 | | maxNameDensity | 2.16 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 2 | | Harlow | 1 | | Quinn | 21 | | Patel | 14 | | Northern | 1 | | Line | 1 | | Victorian | 1 | | Morris | 2 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Patel" | | 4 | "Line" | | 5 | "Morris" |
| | places | (empty) | | globalScore | 0.421 | | windowScore | 0.5 | |
| 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 | 1 | | per1kWords | 0.733 | | wordCount | 1365 | | matches | | 0 | "Not exactly, but close enough" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 152 | | matches | | 0 | "mattered, that patterns" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 23.95 | | std | 14.7 | | cv | 0.614 | | sampleLengths | | 0 | 51 | | 1 | 3 | | 2 | 42 | | 3 | 53 | | 4 | 34 | | 5 | 32 | | 6 | 42 | | 7 | 22 | | 8 | 13 | | 9 | 7 | | 10 | 38 | | 11 | 31 | | 12 | 4 | | 13 | 12 | | 14 | 6 | | 15 | 13 | | 16 | 32 | | 17 | 43 | | 18 | 11 | | 19 | 9 | | 20 | 26 | | 21 | 3 | | 22 | 22 | | 23 | 27 | | 24 | 47 | | 25 | 3 | | 26 | 43 | | 27 | 38 | | 28 | 8 | | 29 | 12 | | 30 | 43 | | 31 | 19 | | 32 | 10 | | 33 | 41 | | 34 | 22 | | 35 | 19 | | 36 | 9 | | 37 | 40 | | 38 | 4 | | 39 | 35 | | 40 | 37 | | 41 | 34 | | 42 | 4 | | 43 | 31 | | 44 | 14 | | 45 | 47 | | 46 | 33 | | 47 | 23 | | 48 | 15 | | 49 | 34 |
| |
| 96.19% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 116 | | matches | | 0 | "been cordoned" | | 1 | "was curled" | | 2 | "been disturbed" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 175 | | matches | | |
| 11.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 152 | | ratio | 0.046 | | matches | | 0 | "The entrance had been cordoned off—yellow tape fluttering against the grate like prayer flags." | | 1 | "The compass—because that's what it was, though unlike any compass she'd seen—had a face etched with symbols that hurt to look at directly." | | 2 | "The torch beam caught something on the far wall—markings in white chalk, partially smudged but still visible." | | 3 | "A phone—locked, naturally." | | 4 | "Not approximately centered—exactly centered." | | 5 | "She pulled gently and something came free—a necklace, silver, with a pendant in the shape of a key." | | 6 | "Quinn looked at the chalk circle again, at the smudged portions where something—someone—had disturbed them." |
| |
| 89.40% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 983 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.04984740590030519 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.022380467955239063 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 8.98 | | std | 5.76 | | cv | 0.642 | | sampleLengths | | 0 | 13 | | 1 | 24 | | 2 | 14 | | 3 | 3 | | 4 | 8 | | 5 | 13 | | 6 | 21 | | 7 | 5 | | 8 | 13 | | 9 | 15 | | 10 | 3 | | 11 | 14 | | 12 | 3 | | 13 | 14 | | 14 | 12 | | 15 | 2 | | 16 | 6 | | 17 | 6 | | 18 | 13 | | 19 | 13 | | 20 | 7 | | 21 | 17 | | 22 | 9 | | 23 | 9 | | 24 | 9 | | 25 | 13 | | 26 | 9 | | 27 | 4 | | 28 | 7 | | 29 | 3 | | 30 | 8 | | 31 | 15 | | 32 | 7 | | 33 | 5 | | 34 | 23 | | 35 | 8 | | 36 | 4 | | 37 | 9 | | 38 | 3 | | 39 | 6 | | 40 | 12 | | 41 | 1 | | 42 | 5 | | 43 | 17 | | 44 | 10 | | 45 | 8 | | 46 | 9 | | 47 | 19 | | 48 | 7 | | 49 | 3 |
| |
| 69.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.45394736842105265 | | totalSentences | 152 | | uniqueOpeners | 69 | |
| 32.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 104 | | matches | | 0 | "Always what they missed." |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 104 | | matches | | 0 | "She'd found three bodies in" | | 1 | "He tucked his notebook under" | | 2 | "His eyes were open, fixed" | | 3 | "She didn't respond." | | 4 | "She picked it up carefully." | | 5 | "She crossed to them, ignoring" | | 6 | "She crossed back to the" | | 7 | "She played her torch beam" | | 8 | "She crouched again, examined the" | | 9 | "He joined her, directing his" | | 10 | "She lowered herself down carefully," | | 11 | "She crouched between the rails," | | 12 | "Her fingers closed on cold" | | 13 | "She pulled gently and something" | | 14 | "She climbed back onto the" | | 15 | "She bagged it separately" | | 16 | "It had stopped spinning, now" | | 17 | "She leaned closer." | | 18 | "He crouched beside her, directed" | | 19 | "she said quietly" |
| | ratio | 0.192 | |
| 51.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 104 | | matches | | 0 | "The abandoned Tube station beneath" | | 1 | "Detective Harlow Quinn's boots scraped" | | 2 | "The entrance had been cordoned" | | 3 | "DS Patel's voice echoed up" | | 4 | "Quinn adjusted her grip on" | | 5 | "The platform materialized from shadow." | | 6 | "The Northern Line had abandoned" | | 7 | "Quinn knew better." | | 8 | "She'd found three bodies in" | | 9 | "This made four." | | 10 | "Patel stood beside the body," | | 11 | "He tucked his notebook under" | | 12 | "Quinn crouched beside the body," | | 13 | "The victim wore expensive trainers" | | 14 | "His eyes were open, fixed" | | 15 | "The pupils had contracted to" | | 16 | "Patel shifted his weight" | | 17 | "Quinn pulled on latex gloves," | | 18 | "She didn't respond." | | 19 | "The victim's left hand was" |
| | ratio | 0.817 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn pulled, her movements precise" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 56 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0 | | effectiveRatio | 0 | |