| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.515 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1103 | | 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) | |
| 45.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1103 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "gloom" | | 1 | "spectral" | | 2 | "standard" | | 3 | "shimmered" | | 4 | "silence" | | 5 | "etching" | | 6 | "flicker" | | 7 | "resonated" | | 8 | "rhythmic" | | 9 | "silk" | | 10 | "searing" | | 11 | "shattered" |
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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 | 73 | | matches | (empty) | |
| 84.15% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 73 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1103 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 833 | | uniqueNames | 13 | | maxNameDensity | 1.32 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 11 | | Veil | 3 | | Market | 1 | | London | 1 | | Compass | 2 | | North | 1 | | Davies | 2 | | British | 1 | | Museum | 1 | | Ancient | 1 | | Greek | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Compass" | | 3 | "Davies" | | 4 | "Morris" |
| | places | | | globalScore | 0.84 | | windowScore | 1 | |
| 59.09% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 2 | | matches | | 0 | "tasted like copper and wet subterranean l" | | 1 | "looked like a place of worship" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1103 | | matches | (empty) | |
| 54.31% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 89 | | matches | | 0 | "recognised that satchel" | | 1 | "was that pride was that pride" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 29.03 | | std | 17.25 | | cv | 0.594 | | sampleLengths | | 0 | 41 | | 1 | 9 | | 2 | 51 | | 3 | 33 | | 4 | 28 | | 5 | 12 | | 6 | 48 | | 7 | 44 | | 8 | 13 | | 9 | 34 | | 10 | 46 | | 11 | 67 | | 12 | 24 | | 13 | 28 | | 14 | 33 | | 15 | 13 | | 16 | 58 | | 17 | 18 | | 18 | 3 | | 19 | 6 | | 20 | 47 | | 21 | 29 | | 22 | 13 | | 23 | 43 | | 24 | 9 | | 25 | 5 | | 26 | 28 | | 27 | 35 | | 28 | 55 | | 29 | 7 | | 30 | 16 | | 31 | 13 | | 32 | 47 | | 33 | 27 | | 34 | 21 | | 35 | 20 | | 36 | 60 | | 37 | 19 |
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| 90.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 73 | | matches | | 0 | "was supposed" | | 1 | "being replaced" | | 2 | "being pulled" |
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| 14.81% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 144 | | matches | | 0 | "were losing" | | 1 | "was peeling" | | 2 | "was thinning" | | 3 | "wasn't pulling" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 89 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 837 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.021505376344086023 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010752688172043012 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 12.39 | | std | 6.07 | | cv | 0.49 | | sampleLengths | | 0 | 15 | | 1 | 12 | | 2 | 14 | | 3 | 9 | | 4 | 9 | | 5 | 23 | | 6 | 19 | | 7 | 18 | | 8 | 15 | | 9 | 4 | | 10 | 8 | | 11 | 16 | | 12 | 12 | | 13 | 28 | | 14 | 12 | | 15 | 8 | | 16 | 26 | | 17 | 18 | | 18 | 13 | | 19 | 3 | | 20 | 10 | | 21 | 12 | | 22 | 9 | | 23 | 8 | | 24 | 20 | | 25 | 18 | | 26 | 13 | | 27 | 12 | | 28 | 23 | | 29 | 4 | | 30 | 15 | | 31 | 10 | | 32 | 9 | | 33 | 5 | | 34 | 4 | | 35 | 24 | | 36 | 13 | | 37 | 12 | | 38 | 8 | | 39 | 13 | | 40 | 7 | | 41 | 10 | | 42 | 8 | | 43 | 23 | | 44 | 10 | | 45 | 4 | | 46 | 14 | | 47 | 3 | | 48 | 6 | | 49 | 15 |
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| 63.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.42696629213483145 | | totalSentences | 89 | | uniqueOpeners | 38 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Then, the light returned." |
| | ratio | 0.015 | |
| 29.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 65 | | matches | | 0 | "My torch beam cut through" | | 1 | "Her closely cropped salt-and-pepper hair" | | 2 | "She paced the platform with" | | 3 | "I said, stepping over a" | | 4 | "She closed her book with" | | 5 | "I knelt by a smudge" | | 6 | "It shimmered with a faint," | | 7 | "She walked toward me, her" | | 8 | "Her brown eyes were cold," | | 9 | "I ignored the warning and" | | 10 | "It didn't point North." | | 11 | "It pointed straight through the" | | 12 | "She frowned at the strange" | | 13 | "He gestured toward a doorway" | | 14 | "We followed him through the" | | 15 | "I recognised that satchel." | | 16 | "I’d walked past it a" | | 17 | "I crouched by the bag" | | 18 | "It was empty, save for" | | 19 | "I swept my torch around" |
| | ratio | 0.477 | |
| 21.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 65 | | matches | | 0 | "The damp, stale air of" | | 1 | "My torch beam cut through" | | 2 | "Detective Harlow Quinn didn't look" | | 3 | "Her closely cropped salt-and-pepper hair" | | 4 | "She paced the platform with" | | 5 | "I said, stepping over a" | | 6 | "She closed her book with" | | 7 | "The Veil Market was supposed" | | 8 | "I knelt by a smudge" | | 9 | "It shimmered with a faint," | | 10 | "Quinn said, her voice dropping" | | 11 | "Quinn went rigid." | | 12 | "The silence stretched between us," | | 13 | "She walked toward me, her" | | 14 | "Her brown eyes were cold," | | 15 | "I ignored the warning and" | | 16 | "The brass casing was cold," | | 17 | "It didn't point North." | | 18 | "It pointed straight through the" | | 19 | "Quinn noted, her gaze landing" |
| | ratio | 0.877 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 65 | | matches | | 0 | "As soon as I cleared" | | 1 | "Now, it looked like a" |
| | ratio | 0.031 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "Candles, thick with black wax, stood in a tight circle, their flames hovering frozen in mid-air, refusing to flicker or consume their wicks." | | 1 | "The concrete was peeling away, revealing something that looked less like masonry and more like veins pulsing with a rhythmic, sickly light." | | 2 | "It was that pride that had cost Morris his life, and it was that pride that was leading us into a trap." |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn noted, her gaze landing on the compass" | | 1 | "Davies pleaded, his face pale" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 7 | | fancyTags | | 0 | "Quinn noted (note)" | | 1 | "Quinn barked (bark)" | | 2 | "I whispered (whisper)" | | 3 | "Quinn demanded (demand)" | | 4 | "I shouted (shout)" | | 5 | "I snapped (snap)" | | 6 | "Davies pleaded (plead)" |
| | dialogueSentences | 33 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.583 | | effectiveRatio | 0.424 | |