| 13.95% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 4 | | adverbTags | | 0 | "He sat back [back]" | | 1 | "she asked softly [softly]" | | 2 | "he said lightly [lightly]" | | 3 | "He glanced back [back]" |
| | dialogueSentences | 43 | | tagDensity | 0.395 | | leniency | 0.791 | | rawRatio | 0.235 | | effectiveRatio | 0.186 | |
| 79.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1447 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "lightly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 61.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1447 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "warmth" | | 1 | "weight" | | 2 | "familiar" | | 3 | "etched" | | 4 | "fleeting" | | 5 | "flicker" | | 6 | "pulse" | | 7 | "silence" |
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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 | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 5 | | totalWords | 1435 | | ratio | 0.003 | | matches | | 0 | "better" | | 1 | "worse" | | 2 | "different" | | 3 | "Daniel Mercer" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1008 | | uniqueNames | 11 | | maxNameDensity | 1.29 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Silas" | | discoveredNames | | London | 4 | | Raven | 2 | | Nest | 3 | | Thames-side | 1 | | Soho | 1 | | Eva | 2 | | Silas | 11 | | Blackwood | 1 | | Prague | 1 | | Rory | 13 | | Mercer | 2 |
| | persons | | 0 | "Raven" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Rory" | | 5 | "Mercer" |
| | places | | 0 | "London" | | 1 | "Thames-side" | | 2 | "Soho" | | 3 | "Prague" |
| | globalScore | 0.855 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "something between amusement and something older" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.697 | | wordCount | 1435 | | matches | | 0 | "not in space, but in years" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 35.88 | | std | 24.05 | | cv | 0.67 | | sampleLengths | | 0 | 93 | | 1 | 109 | | 2 | 55 | | 3 | 77 | | 4 | 44 | | 5 | 44 | | 6 | 13 | | 7 | 72 | | 8 | 12 | | 9 | 47 | | 10 | 62 | | 11 | 18 | | 12 | 47 | | 13 | 17 | | 14 | 8 | | 15 | 16 | | 16 | 55 | | 17 | 23 | | 18 | 21 | | 19 | 31 | | 20 | 9 | | 21 | 32 | | 22 | 35 | | 23 | 4 | | 24 | 35 | | 25 | 10 | | 26 | 40 | | 27 | 21 | | 28 | 42 | | 29 | 8 | | 30 | 52 | | 31 | 37 | | 32 | 42 | | 33 | 9 | | 34 | 44 | | 35 | 10 | | 36 | 61 | | 37 | 40 | | 38 | 20 | | 39 | 20 |
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| 94.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 100 | | matches | | 0 | "were unchanged" | | 1 | "was scrawled" | | 2 | "being remembered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 167 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 126 | | ratio | 0.063 | | matches | | 0 | "She hadn’t set foot in The Raven’s Nest in years—not since she’d staggered out the last time, three sheets to the wind, her jacket soaked through from the Thames-side rain." | | 1 | "But tonight, the delivery route had brought her to Soho, and the weight in her backpack—a parcel of documents Eva had insisted she hand-deliver—had her walking these familiar flagstones again." | | 2 | "Not the temperature—London weather was always restless—but something else." | | 3 | "But his hands—steady, the silver signet ring catching the light as he tapped the ledger—were unchanged." | | 4 | "The emerald light from the sign above the door cut across his face, making the scar at his temple—a relic of some operation long buried—stand out in fleeting relief." | | 5 | "That was the curse—or gift—of a man who’d spent his life parsing shadows." | | 6 | "And a photo—blurred, black-and-white, but unmistakably a face from another life." | | 7 | "Her reflection in the glass behind it was a stranger’s—eyes sharper, jaw set harder, the ghost of a smile gone before it touched her lips." |
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| 92.26% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1024 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 43 | | adverbRatio | 0.0419921875 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0087890625 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 11.39 | | std | 8.16 | | cv | 0.717 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 30 | | 3 | 30 | | 4 | 5 | | 5 | 18 | | 6 | 20 | | 7 | 18 | | 8 | 13 | | 9 | 20 | | 10 | 5 | | 11 | 10 | | 12 | 15 | | 13 | 9 | | 14 | 2 | | 15 | 25 | | 16 | 4 | | 17 | 11 | | 18 | 4 | | 19 | 24 | | 20 | 21 | | 21 | 16 | | 22 | 1 | | 23 | 4 | | 24 | 19 | | 25 | 6 | | 26 | 4 | | 27 | 11 | | 28 | 14 | | 29 | 14 | | 30 | 3 | | 31 | 4 | | 32 | 9 | | 33 | 7 | | 34 | 6 | | 35 | 20 | | 36 | 13 | | 37 | 10 | | 38 | 29 | | 39 | 5 | | 40 | 7 | | 41 | 13 | | 42 | 29 | | 43 | 5 | | 44 | 2 | | 45 | 16 | | 46 | 39 | | 47 | 5 | | 48 | 5 | | 49 | 13 |
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| 55.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3492063492063492 | | totalSentences | 126 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 92 | | matches | | 0 | "Then he looked up." | | 1 | "Of course the man who" | | 2 | "Just recognition, the kind that" | | 3 | "Only then did he look" | | 4 | "Of course he knew." | | 5 | "Then, with a slow nod," |
| | ratio | 0.065 | |
| 89.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 92 | | matches | | 0 | "She hadn’t set foot in" | | 1 | "She ordered a rum, neat," | | 2 | "She didn’t ask for ice." | | 3 | "She was halfway through her" | | 4 | "She turned slightly on her" | | 5 | "She should have known." | | 6 | "He crossed the floor, the" | | 7 | "he said, voice low, laced" | | 8 | "she replied, tapping her glass" | | 9 | "he said, setting the ledger" | | 10 | "He signaled to the bartender," | | 11 | "She exhaled through her nose." | | 12 | "He nodded, swirling the whiskey." | | 13 | "He set the glass down" | | 14 | "She unzipped her backpack and" | | 15 | "His eyes moved from the" | | 16 | "He nodded toward the envelope" | | 17 | "He tapped the envelope with" | | 18 | "Her chest tightened." | | 19 | "He sat back, his hazel" |
| | ratio | 0.326 | |
| 85.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 92 | | matches | | 0 | "The neon sign buzzed over" | | 1 | "Rory pushed inside, the warmth" | | 2 | "She hadn’t set foot in" | | 3 | "The Raven’s Nest hadn’t changed." | | 4 | "The same old jukebox in" | | 5 | "Rory slipped between tables, her" | | 6 | "She ordered a rum, neat," | | 7 | "The bartender, a broad man" | | 8 | "She didn’t ask for ice." | | 9 | "Ice was for people who" | | 10 | "She was halfway through her" | | 11 | "She turned slightly on her" | | 12 | "Rory’s breath caught like a" | | 13 | "Time hadn’t smoothed him." | | 14 | "The limp was still there," | | 15 | "She should have known." | | 16 | "Rory lifted her glass in" | | 17 | "Silas paused, then nodded." | | 18 | "The room between them shrank," | | 19 | "He crossed the floor, the" |
| | ratio | 0.75 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 92 | | matches | | 0 | "If anything, the years had" | | 1 | "As if that one word" |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "The emerald light from the sign above the door cut across his face, making the scar at his temple—a relic of some operation long buried—stand out in fleeting re…" |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice low, laced with something between amusement and something older" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.163 | | leniency | 0.326 | | rawRatio | 0 | | effectiveRatio | 0 | |