| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned back [back]" |
| | dialogueSentences | 32 | | tagDensity | 0.406 | | leniency | 0.813 | | rawRatio | 0.077 | | effectiveRatio | 0.063 | |
| 86.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1131 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "precisely" |
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| 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) | |
| 86.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1131 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "etched" | | 1 | "resolved" | | 2 | "systematic" |
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| 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 | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1144 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 916 | | uniqueNames | 8 | | maxNameDensity | 1.2 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Leonard | 1 | | Marsh | 7 | | Serious | 1 | | Crimes | 1 | | Quinn | 11 | | Started | 1 | | Eva | 2 |
| | persons | | | places | | 0 | "Leonard" | | 1 | "Marsh" | | 2 | "Serious" |
| | globalScore | 0.9 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 25.17% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.748 | | wordCount | 1144 | | matches | | 0 | "not decomposition, not blood, but something closer to struck flint" | | 1 | "not blood, but something closer to struck flint" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 88 | | matches | | 0 | "registered that discrepancy" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 30.11 | | std | 26.82 | | cv | 0.891 | | sampleLengths | | 0 | 43 | | 1 | 14 | | 2 | 74 | | 3 | 37 | | 4 | 13 | | 5 | 19 | | 6 | 54 | | 7 | 76 | | 8 | 5 | | 9 | 24 | | 10 | 23 | | 11 | 85 | | 12 | 36 | | 13 | 5 | | 14 | 2 | | 15 | 54 | | 16 | 23 | | 17 | 8 | | 18 | 4 | | 19 | 81 | | 20 | 25 | | 21 | 26 | | 22 | 87 | | 23 | 7 | | 24 | 4 | | 25 | 30 | | 26 | 15 | | 27 | 16 | | 28 | 9 | | 29 | 22 | | 30 | 34 | | 31 | 8 | | 32 | 4 | | 33 | 7 | | 34 | 37 | | 35 | 9 | | 36 | 26 | | 37 | 98 |
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| 95.09% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 69 | | matches | | 0 | "been pressed" | | 1 | "was etched" |
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| 62.07% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 145 | | matches | | 0 | "was escorting" | | 1 | "was currently doing" | | 2 | "wasn't pointing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 88 | | ratio | 0.08 | | matches | | 0 | "The city noise above — traffic, a distant siren, some drunk's laughter — sealed itself off as though a lid had been pressed over the world." | | 1 | "The old tiling — cream and deep green — had survived decades of damp better than anyone deserved, though graffiti had colonised the lower half of every visible wall." | | 2 | "The face was etched with markings — she'd been ready to classify them as engravings, maker's marks, something explicable — but they weren't." | | 3 | "The victim's approach was clear — a single trail from the stairs, a slight scuff where he'd stopped, then the body." | | 4 | "She didn't recognise the language — if it was a language — but she recognised the intention behind it." | | 5 | "A sound from the far end of the platform — not a footstep, more like something being set down — made both of them turn." | | 6 | "Marsh made a small sound — dismissive, or possibly amused." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 905 | | adjectiveStacks | 1 | | stackExamples | | 0 | "particular blue-green oxidation" |
| | adverbCount | 35 | | adverbRatio | 0.03867403314917127 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013259668508287293 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 13 | | std | 10.24 | | cv | 0.788 | | sampleLengths | | 0 | 12 | | 1 | 31 | | 2 | 10 | | 3 | 4 | | 4 | 15 | | 5 | 26 | | 6 | 33 | | 7 | 3 | | 8 | 34 | | 9 | 5 | | 10 | 8 | | 11 | 13 | | 12 | 6 | | 13 | 7 | | 14 | 29 | | 15 | 4 | | 16 | 14 | | 17 | 14 | | 18 | 25 | | 19 | 15 | | 20 | 22 | | 21 | 5 | | 22 | 17 | | 23 | 7 | | 24 | 18 | | 25 | 5 | | 26 | 5 | | 27 | 19 | | 28 | 6 | | 29 | 23 | | 30 | 32 | | 31 | 4 | | 32 | 32 | | 33 | 5 | | 34 | 2 | | 35 | 15 | | 36 | 21 | | 37 | 3 | | 38 | 2 | | 39 | 13 | | 40 | 12 | | 41 | 11 | | 42 | 8 | | 43 | 4 | | 44 | 6 | | 45 | 16 | | 46 | 27 | | 47 | 19 | | 48 | 4 | | 49 | 3 |
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| 89.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5681818181818182 | | totalSentences | 88 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 63 | | matches | | 0 | "She counted two, skipped the" | | 1 | "He didn't stand up" | | 2 | "She pulled on a pair" | | 3 | "She registered that discrepancy immediately" | | 4 | "He lay on his back" | | 5 | "His face held no expression" | | 6 | "He tilted his head toward" | | 7 | "She leaned closer without touching" | | 8 | "They ran in concentric rings" | | 9 | "She turned back" | | 10 | "She crossed to the nearest" | | 11 | "She didn't recognise the language" | | 12 | "She photographed a section with" | | 13 | "Her fingers found a loose" | | 14 | "She stopped herself" | | 15 | "Her gaze had dropped to" | | 16 | "Her hand found the curl" | | 17 | "It pressed against the bag's" |
| | ratio | 0.286 | |
| 39.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 63 | | matches | | 0 | "The patrol car's blue lights" | | 1 | "Quinn ducked under the cordon" | | 2 | "The constable's torch swept the" | | 3 | "She counted two, skipped the" | | 4 | "The city noise above —" | | 5 | "DS Leonard Marsh." | | 6 | "He didn't stand up" | | 7 | "She pulled on a pair" | | 8 | "The station was dead, not" | | 9 | "The old tiling — cream" | | 10 | "She registered that discrepancy immediately" | | 11 | "He lay on his back" | | 12 | "His face held no expression" | | 13 | "The second thing wrong was" | | 14 | "Quinn crouched opposite Marsh" | | 15 | "He tilted his head toward" | | 16 | "The first bag held a" | | 17 | "The second held the compass." | | 18 | "Quinn's eyes settled on it." | | 19 | "Brass casing, no larger than" |
| | ratio | 0.841 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | | ratio | 0.016 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 6 | | matches | | 0 | "Seventeen years on the job, twelve of them in Serious Crimes, and he'd cultivated the particular brand of certainty that made him very good at closing cases and…" | | 1 | "Male, early forties, dressed in a heavy wax coat that had been expensive once." | | 2 | "The symbols ran in repeating sequences along the lower tiles, some of them carved rather than painted, others applied in a dark substance that had dried shiny." | | 3 | "One of the uniformed officers was escorting a woman toward them, the woman's hands wrapped around herself as though she was cold, a battered leather satchel clu…" | | 4 | "A freckled face that had been crying recently and was currently doing its level best to appear composed." | | 5 | "It pressed against the bag's plastic, straining toward the far wall, toward the largest cluster of symbols, steady and insistent, as though it had somewhere urg…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 0 | | effectiveRatio | 0 | |