| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2148 | | totalAiIsmAdverbs | 5 | | 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) | |
| 81.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2148 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "etched" | | 1 | "quivered" | | 2 | "pulse" | | 3 | "almost alive" | | 4 | "fluttered" | | 5 | "shattered" | | 6 | "flicked" | | 7 | "flicker" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 124 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 124 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2133 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.21% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 72 | | wordCount | 1616 | | uniqueNames | 27 | | maxNameDensity | 1.18 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 19 | | Tube | 1 | | Camden | 1 | | Platform | 1 | | Northern | 1 | | Line | 1 | | Veil | 3 | | Market | 1 | | Callum | 1 | | Hale | 13 | | Major | 1 | | Crimes | 1 | | Morris | 3 | | Compass | 2 | | Maglite | 3 | | Royce | 4 | | Surrey | 2 | | Quays | 2 | | Kowalski | 2 | | Ancient | 1 | | History | 1 | | Oxford | 1 | | Handwritten | 1 | | Eva | 3 | | Shade | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Camden" | | 3 | "Platform" | | 4 | "Market" | | 5 | "Hale" | | 6 | "Major" | | 7 | "Morris" | | 8 | "Royce" | | 9 | "Kowalski" | | 10 | "Eva" |
| | places | | 0 | "Surrey" | | 1 | "Ancient" | | 2 | "Oxford" |
| | globalScore | 0.912 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 99 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.469 | | wordCount | 2133 | | matches | | 0 | "not yet have the correct symbols, but she had the first vector: a verdigris compass, a murdered co" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 60.94 | | std | 30.73 | | cv | 0.504 | | sampleLengths | | 0 | 92 | | 1 | 113 | | 2 | 70 | | 3 | 93 | | 4 | 50 | | 5 | 38 | | 6 | 16 | | 7 | 95 | | 8 | 65 | | 9 | 67 | | 10 | 4 | | 11 | 48 | | 12 | 90 | | 13 | 6 | | 14 | 13 | | 15 | 87 | | 16 | 50 | | 17 | 86 | | 18 | 68 | | 19 | 82 | | 20 | 43 | | 21 | 81 | | 22 | 72 | | 23 | 89 | | 24 | 75 | | 25 | 76 | | 26 | 109 | | 27 | 5 | | 28 | 77 | | 29 | 51 | | 30 | 50 | | 31 | 4 | | 32 | 66 | | 33 | 78 | | 34 | 24 |
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| 91.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 124 | | matches | | 0 | "been opened" | | 1 | "been scrubbed" | | 2 | "been carved" | | 3 | "was connected" | | 4 | "been taken" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 270 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 3 | | flaggedSentences | 10 | | totalSentences | 138 | | ratio | 0.072 | | matches | | 0 | "Strings of smuggled fairy lights—battery packs hidden in cracked tiles—cast a low amber wash across makeshift stalls left abandoned mid-evening." | | 1 | "A figure stepped out from behind a collapsed information board—DS Callum Hale, six months into the Major Crimes rotation and still flinching at every unexplained detail." | | 2 | "Blood painted an asymmetrical fan across the cracked tiles, but the edges looked wrong—too clean, as though the final droplets had never fallen." | | 3 | "For a heartbeat the surface fluttered—less than a vibration, more like a held breath—and then went dead again." | | 4 | "A sigil crawled across the reverse—the same looping mark that had been carved into Morris’s desk drawer a week before he vanished into that warehouse and never came out whole." | | 5 | "“And cults don’t settle the air pressure six degrees different inside a sealed tunnel.” She had felt the pressure shift the moment she entered; civilian probes would miss it because they weren’t looking for microclimates that behaved like living lungs." | | 6 | "She had reviewed the museum staff rotas yesterday for an unrelated intel drip—someone selling restricted archive access." | | 7 | "The clique she had been circling for months—the same people who moved bone tokens and hired Shade artisans—was connected by more than coincidence." | | 8 | "She pocketed the brass compass; the needle locked east, still vibrating." | | 9 | "She turned the compass in her left hand once; the leather watch strap tugged." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1641 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 50 | | adverbRatio | 0.030469226081657527 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.007921998781230956 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 15.46 | | std | 11.88 | | cv | 0.769 | | sampleLengths | | 0 | 25 | | 1 | 4 | | 2 | 32 | | 3 | 21 | | 4 | 5 | | 5 | 5 | | 6 | 4 | | 7 | 36 | | 8 | 12 | | 9 | 15 | | 10 | 6 | | 11 | 16 | | 12 | 24 | | 13 | 6 | | 14 | 22 | | 15 | 13 | | 16 | 14 | | 17 | 6 | | 18 | 5 | | 19 | 4 | | 20 | 24 | | 21 | 20 | | 22 | 11 | | 23 | 5 | | 24 | 33 | | 25 | 10 | | 26 | 1 | | 27 | 6 | | 28 | 24 | | 29 | 3 | | 30 | 6 | | 31 | 26 | | 32 | 7 | | 33 | 5 | | 34 | 12 | | 35 | 4 | | 36 | 13 | | 37 | 15 | | 38 | 10 | | 39 | 23 | | 40 | 14 | | 41 | 20 | | 42 | 14 | | 43 | 36 | | 44 | 15 | | 45 | 12 | | 46 | 14 | | 47 | 6 | | 48 | 6 | | 49 | 25 |
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| 67.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.427536231884058 | | totalSentences | 138 | | uniqueOpeners | 59 | |
| 56.98% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 117 | | matches | | 0 | "Then the second trail simply" | | 1 | "Somewhere beyond the scrubbed circle" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 117 | | matches | | 0 | "She crouched, ran a gloved" | | 1 | "She didn’t have one." | | 2 | "She’d seized it two nights" | | 3 | "She believed in patterns, in" | | 4 | "Her closely cropped salt-and-pepper hair" | | 5 | "She had climbed worse." | | 6 | "It moved every full moon." | | 7 | "She preferred first boots on" | | 8 | "He lifted a hand in" | | 9 | "She stepped under the tape" | | 10 | "His throat had been opened" | | 11 | "She leaned closer without touching" | | 12 | "Her brown eyes narrowed." | | 13 | "She rose, brushed grit from" | | 14 | "It spun fretted circles, then" | | 15 | "She pressed her palm to" | | 16 | "He answered, issued orders, turned" | | 17 | "She returned to the body" | | 18 | "She had seen that exact" | | 19 | "She still woke tasting ozone" |
| | ratio | 0.282 | |
| 49.74% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 117 | | matches | | 0 | "The worn leather of Detective" | | 1 | "The entrance to the abandoned" | | 2 | "She crouched, ran a gloved" | | 3 | "Someone had been here recently." | | 4 | "Someone with a bone token." | | 5 | "She didn’t have one." | | 6 | "The casing carried a patina" | | 7 | "She’d seized it two nights" | | 8 | "Quinn did not believe in" | | 9 | "She believed in patterns, in" | | 10 | "The grate lifted with a" | | 11 | "Quinn dropped into the shaft," | | 12 | "Her closely cropped salt-and-pepper hair" | | 13 | "Military precision kept her breathing" | | 14 | "She had climbed worse." | | 15 | "Strings of smuggled fairy lights—battery" | | 16 | "The Veil Market, the junkie" | | 17 | "It moved every full moon." | | 18 | "Tonight the moon was three" | | 19 | "Forensics jackets reflecting the weak" |
| | ratio | 0.821 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 117 | | matches | (empty) | | ratio | 0 | |
| 68.23% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 7 | | matches | | 0 | "What she had was a small brass compass that should not have worked, its face etched with protective sigils she didn’t trust and a needle that currently quivered…" | | 1 | "The casing carried a patina of verdigris that flaked under her thumbnail." | | 2 | "Tonight the moon was three days off full, yet the place still stank of recent trade: beeswax, copper, and the sharp metallic tang of blood that did not belong t…" | | 3 | "Blood painted an asymmetrical fan across the cracked tiles, but the edges looked wrong—too clean, as though the final droplets had never fallen." | | 4 | "The Veil Compass in her coat pocket gave a single sharp pulse against her hip, as if the needle had jerked." | | 5 | "The clique she had been circling for months—the same people who moved bone tokens and hired Shade artisans—was connected by more than coincidence." | | 6 | "Quinn did not yet have the correct symbols, but she had the first vector: a verdigris compass, a murdered courier, and a researcher with green eyes and freckles…" |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "She stepped, eyes already mapping" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.107 | | leniency | 0.214 | | rawRatio | 0 | | effectiveRatio | 0 | |