| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1912 | | totalAiIsmAdverbs | 2 | | 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) | |
| 76.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1912 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "tracing" | | 1 | "unreadable" | | 2 | "wavering" | | 3 | "echoed" | | 4 | "flickered" | | 5 | "pulse" | | 6 | "weight" | | 7 | "silence" | | 8 | "pulsed" |
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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 | 3 | | narrationSentences | 194 | | matches | | 0 | "d with urgency" | | 1 | "looked surprised" | | 2 | "looked afraid" |
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| 98.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 3 | | narrationSentences | 194 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 208 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1907 | | ratio | 0 | | matches | (empty) | |
| 83.33% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 1 | | matches | | 0 | "Not again, she told herself." |
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| 65.49% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1834 | | uniqueNames | 6 | | maxNameDensity | 1.69 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 31 | | Soho | 1 | | London | 1 | | Morris | 3 | | Tube | 1 | | Camden | 1 |
| | persons | | | places | | | globalScore | 0.655 | | windowScore | 0.667 | |
| 92.75% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 131 | | glossingSentenceCount | 3 | | matches | | 0 | "Not quite voices, either; more like a crowd speaking through several closed doors at once" | | 1 | "as if pricing it" | | 2 | "appeared under Camden, but the market moved every full moon" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.524 | | wordCount | 1907 | | matches | | 0 | "not words, but what might have been a bell tolling far underground" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 208 | | matches | | 0 | "denying that it" | | 1 | "know that name" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 92 | | mean | 20.73 | | std | 20.33 | | cv | 0.981 | | sampleLengths | | 0 | 12 | | 1 | 48 | | 2 | 9 | | 3 | 71 | | 4 | 72 | | 5 | 3 | | 6 | 48 | | 7 | 5 | | 8 | 54 | | 9 | 7 | | 10 | 14 | | 11 | 16 | | 12 | 12 | | 13 | 5 | | 14 | 45 | | 15 | 4 | | 16 | 40 | | 17 | 9 | | 18 | 6 | | 19 | 42 | | 20 | 4 | | 21 | 61 | | 22 | 6 | | 23 | 24 | | 24 | 57 | | 25 | 11 | | 26 | 16 | | 27 | 5 | | 28 | 7 | | 29 | 25 | | 30 | 13 | | 31 | 18 | | 32 | 3 | | 33 | 59 | | 34 | 46 | | 35 | 2 | | 36 | 83 | | 37 | 9 | | 38 | 20 | | 39 | 14 | | 40 | 4 | | 41 | 36 | | 42 | 25 | | 43 | 7 | | 44 | 25 | | 45 | 42 | | 46 | 4 | | 47 | 2 | | 48 | 23 | | 49 | 10 |
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| 96.22% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 194 | | matches | | 0 | "was concealed" | | 1 | "was carved" | | 2 | "were clouded" | | 3 | "been wedged" | | 4 | "been broken" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 303 | | matches | | 0 | "was running" | | 1 | "was still obeying" | | 2 | "was already being" |
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| 46.70% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 208 | | ratio | 0.034 | | matches | | 0 | "The leather watch scraped; pain flashed bright and brief." | | 1 | "Not the whole package—just one small glass vial, missing from a sealed tray after a clerk left his station to answer the phone." | | 2 | "He looked past her, not at her, and for a moment she saw fear there—raw, unguarded fear." | | 3 | "Not quite voices, either; more like a crowd speaking through several closed doors at once." | | 4 | "Quinn felt the old tightening under her ribs—the moment before a bad room became a worse one." | | 5 | "Then a single burst of sound—not words, but what might have been a bell tolling far underground." | | 6 | "No one could know the way he had said it—quiet and irritated, like she was already being unreasonable." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1848 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 63 | | adverbRatio | 0.03409090909090909 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.003787878787878788 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 208 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 208 | | mean | 9.17 | | std | 5.67 | | cv | 0.618 | | sampleLengths | | 0 | 12 | | 1 | 16 | | 2 | 14 | | 3 | 18 | | 4 | 9 | | 5 | 3 | | 6 | 11 | | 7 | 9 | | 8 | 16 | | 9 | 9 | | 10 | 23 | | 11 | 8 | | 12 | 23 | | 13 | 17 | | 14 | 24 | | 15 | 3 | | 16 | 13 | | 17 | 13 | | 18 | 22 | | 19 | 5 | | 20 | 19 | | 21 | 4 | | 22 | 6 | | 23 | 14 | | 24 | 11 | | 25 | 7 | | 26 | 14 | | 27 | 12 | | 28 | 4 | | 29 | 5 | | 30 | 7 | | 31 | 5 | | 32 | 9 | | 33 | 16 | | 34 | 7 | | 35 | 13 | | 36 | 4 | | 37 | 12 | | 38 | 5 | | 39 | 17 | | 40 | 6 | | 41 | 9 | | 42 | 6 | | 43 | 18 | | 44 | 7 | | 45 | 2 | | 46 | 15 | | 47 | 4 | | 48 | 12 | | 49 | 26 |
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| 43.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.27403846153846156 | | totalSentences | 208 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 185 | | matches | | 0 | "Then he dropped out of" | | 1 | "Then a single burst of" | | 2 | "Somewhere nearby, something tapped against" | | 3 | "Then he shoved a customer" | | 4 | "Just the market and its" | | 5 | "Then the suspect gave a" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 185 | | matches | | 0 | "He cut between two black" | | 1 | "She didn’t slow." | | 2 | "Her left wrist struck the" | | 3 | "He moved with a hitch" | | 4 | "He had taken something from" | | 5 | "He burst from the alley" | | 6 | "She was three seconds behind." | | 7 | "He kicked open a door" | | 8 | "His eyes tracked her, then" | | 9 | "It swung inward on hidden" | | 10 | "He was halfway down." | | 11 | "He looked past her, not" | | 12 | "She drew her pistol." | | 13 | "She had no idea where" | | 14 | "His face was unreadable, but" | | 15 | "They had found his coat" | | 16 | "She had never forgiven herself" | | 17 | "She tried again." | | 18 | "She stepped through." | | 19 | "Their light flickered blue, yellow," |
| | ratio | 0.265 | |
| 78.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 141 | | totalSentences | 185 | | matches | | 0 | "Quinn ran through the light" | | 1 | "The man ahead of her" | | 2 | "He cut between two black" | | 3 | "Quinn shouted, though the rain" | | 4 | "She didn’t slow." | | 5 | "Her left wrist struck the" | | 6 | "The leather watch scraped; pain" | | 7 | "The suspect’s coat flapped behind" | | 8 | "He moved with a hitch" | | 9 | "He had taken something from" | | 10 | "The cameras had caught a" | | 11 | "Quinn had spent two nights" | | 12 | "That was something." | | 13 | "He burst from the alley" | | 14 | "The neon above a bar" | | 15 | "Quinn registered the old maps" | | 16 | "She was three seconds behind." | | 17 | "The bar was dim, warm," | | 18 | "The barman stopped polishing a" | | 19 | "The suspect was already across" |
| | ratio | 0.762 | |
| 54.05% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 185 | | matches | | 0 | "If she could get the" | | 1 | "If this place stayed where" |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 81 | | technicalSentenceCount | 4 | | matches | | 0 | "They had found his coat two days later, stiff with river mud, and no trace of the man who’d worn it." | | 1 | "The stairwell door pressed against her hand, as if something below had breathed." | | 2 | "She thought of Morris again: his shoulder disappearing through a door, his voice crackling once over the radio, then nothing." | | 3 | "It had been wedged behind a loose floorboard with a receipt from a shop that didn’t appear in any city directory." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn shouted, though the rain swallowed the word" |
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| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 19 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0.2 | | effectiveRatio | 0.105 | |