| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "Pryce said slowly [slowly]" |
| | dialogueSentences | 60 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.067 | | effectiveRatio | 0.033 | |
| 89.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1371 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "perfectly" |
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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) | |
| 78.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1371 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "sinister" | | 1 | "pristine" | | 2 | "etched" | | 3 | "silence" | | 4 | "wavered" | | 5 | "flickered" |
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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 | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 158 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 28 | | totalWords | 1371 | | ratio | 0.02 | | matches | | 0 | "Don't chase the answer, Harlow. Let the room tell you the question." | | 1 | "One token, bone. Non-refundable." | | 2 | "Market moved. Do not follow." | | 3 | "I don't know, Harlow. But something moved." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 961 | | uniqueNames | 11 | | maxNameDensity | 1.87 | | worstName | "Pryce" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Pryce" | | discoveredNames | | Imran | 1 | | Pryce | 18 | | Quinn | 8 | | Tube | 1 | | Camden | 1 | | Rust | 1 | | Army | 1 | | Harlow | 2 | | Three | 1 | | Morris | 3 | | Two | 1 |
| | persons | | 0 | "Pryce" | | 1 | "Quinn" | | 2 | "Army" | | 3 | "Morris" | | 4 | "Two" |
| | places | | | globalScore | 0.563 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "as though reaching for something he'd dropped" |
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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 | 1371 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 158 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 19.04 | | std | 19.94 | | cv | 1.047 | | sampleLengths | | 0 | 6 | | 1 | 38 | | 2 | 19 | | 3 | 2 | | 4 | 6 | | 5 | 3 | | 6 | 71 | | 7 | 53 | | 8 | 4 | | 9 | 8 | | 10 | 24 | | 11 | 4 | | 12 | 8 | | 13 | 46 | | 14 | 4 | | 15 | 53 | | 16 | 19 | | 17 | 6 | | 18 | 55 | | 19 | 3 | | 20 | 5 | | 21 | 6 | | 22 | 60 | | 23 | 9 | | 24 | 1 | | 25 | 6 | | 26 | 4 | | 27 | 55 | | 28 | 37 | | 29 | 15 | | 30 | 3 | | 31 | 23 | | 32 | 9 | | 33 | 1 | | 34 | 24 | | 35 | 42 | | 36 | 43 | | 37 | 8 | | 38 | 4 | | 39 | 37 | | 40 | 4 | | 41 | 41 | | 42 | 1 | | 43 | 2 | | 44 | 22 | | 45 | 15 | | 46 | 26 | | 47 | 2 | | 48 | 10 | | 49 | 51 |
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| 96.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 115 | | matches | | 0 | "were blistered" | | 1 | "were etched" | | 2 | "was gone" |
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| 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 | 158 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 965 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.02383419689119171 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002072538860103627 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 158 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 158 | | mean | 8.68 | | std | 7.45 | | cv | 0.858 | | sampleLengths | | 0 | 6 | | 1 | 20 | | 2 | 2 | | 3 | 2 | | 4 | 14 | | 5 | 14 | | 6 | 5 | | 7 | 2 | | 8 | 6 | | 9 | 3 | | 10 | 17 | | 11 | 26 | | 12 | 10 | | 13 | 3 | | 14 | 15 | | 15 | 25 | | 16 | 11 | | 17 | 17 | | 18 | 3 | | 19 | 1 | | 20 | 8 | | 21 | 2 | | 22 | 12 | | 23 | 10 | | 24 | 4 | | 25 | 8 | | 26 | 16 | | 27 | 30 | | 28 | 4 | | 29 | 2 | | 30 | 23 | | 31 | 1 | | 32 | 4 | | 33 | 2 | | 34 | 21 | | 35 | 4 | | 36 | 15 | | 37 | 6 | | 38 | 22 | | 39 | 1 | | 40 | 2 | | 41 | 6 | | 42 | 24 | | 43 | 3 | | 44 | 5 | | 45 | 4 | | 46 | 2 | | 47 | 7 | | 48 | 32 | | 49 | 2 |
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| 77.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.5 | | totalSentences | 158 | | uniqueOpeners | 79 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 88 | | matches | | 0 | "Then a folded receipt, the" | | 1 | "Then, from the inside pocket," | | 2 | "Just a coat hanging on" |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 88 | | matches | | 0 | "He sighed and picked his" | | 1 | "His torch beam wobbled over" | | 2 | "He was upstairs now, in" | | 3 | "She swept the beam down" | | 4 | "It ran unbroken from the" | | 5 | "He did, grumbling, sweeping his" | | 6 | "Her father had taught her" | | 7 | "She rolled back the cuff" | | 8 | "Her own watch, the old" | | 9 | "It ticked on, steady, unbothered." | | 10 | "She slid two gloved fingers" | | 11 | "She dropped in a business" | | 12 | "It didn't point north." | | 13 | "It shivered, then swung with" | | 14 | "She turned in place" | | 15 | "He crossed to the wall." | | 16 | "His voice had lost its" | | 17 | "She looked at him." | | 18 | "He had the grace to" | | 19 | "She held it under the" |
| | ratio | 0.284 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 88 | | matches | | 0 | "The dead man's shoes were" | | 1 | "Quinn held her torch an" | | 2 | "He sighed and picked his" | | 3 | "His torch beam wobbled over" | | 4 | "A held breath." | | 5 | "Something patient, waiting for you" | | 6 | "This one sat beneath Camden," | | 7 | "A urban explorer had found" | | 8 | "He was upstairs now, in" | | 9 | "Quinn watched him work it" | | 10 | "Pryce shrugged, but he kept" | | 11 | "The man lay on his" | | 12 | "The palms were blistered, the" | | 13 | "She swept the beam down" | | 14 | "A crisp packet older than" | | 15 | "Pryce opened his mouth." | | 16 | "The dust on the platform" | | 17 | "It ran unbroken from the" | | 18 | "Pryce said slowly" | | 19 | "He did, grumbling, sweeping his" |
| | ratio | 0.705 | |
| 56.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 88 | | matches | | 0 | "To his credit, it took" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 2 | | matches | | 0 | "His torch beam wobbled over the curved ceiling, over the faded roundels, over a poster for a musical that had closed before Quinn joined the force." | | 1 | "Tiny sigils were etched around the glass, spiralling, each one cut with a care that felt almost insulting." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | 0 | "Pryce whispered (whisper)" |
| | dialogueSentences | 60 | | tagDensity | 0.15 | | leniency | 0.3 | | rawRatio | 0.111 | | effectiveRatio | 0.033 | |