| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1329 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "slowly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1329 | | totalAiIsms | 31 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | word | "down her spine" | | count | 2 |
| | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "kaleidoscope" | | 1 | "navigated" | | 2 | "pulse" | | 3 | "raced" | | 4 | "quickened" | | 5 | "fleeting" | | 6 | "echo" | | 7 | "sinister" | | 8 | "reminder" | | 9 | "footsteps" | | 10 | "echoing" | | 11 | "scanning" | | 12 | "tension" | | 13 | "flickered" | | 14 | "pounding" | | 15 | "down her spine" | | 16 | "racing" | | 17 | "could feel" | | 18 | "weight" | | 19 | "unspoken" | | 20 | "echoed" | | 21 | "unreadable" | | 22 | "resolve" | | 23 | "chill" | | 24 | "depths" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" | | 1 | "sent a shiver down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 79 | | matches | | 0 | "t in determination" | | 1 | "felt a chill" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1326 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 52.23% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1074 | | uniqueNames | 9 | | maxNameDensity | 1.96 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 21 | | Raven | 1 | | Nest | 1 | | Morris | 2 | | Veil | 1 | | Market | 1 | | Ignoring | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" |
| | places | | | globalScore | 0.522 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1326 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 42.77 | | std | 22.2 | | cv | 0.519 | | sampleLengths | | 0 | 68 | | 1 | 94 | | 2 | 43 | | 3 | 71 | | 4 | 63 | | 5 | 62 | | 6 | 68 | | 7 | 60 | | 8 | 70 | | 9 | 62 | | 10 | 26 | | 11 | 11 | | 12 | 28 | | 13 | 74 | | 14 | 19 | | 15 | 26 | | 16 | 39 | | 17 | 19 | | 18 | 46 | | 19 | 19 | | 20 | 39 | | 21 | 25 | | 22 | 29 | | 23 | 16 | | 24 | 34 | | 25 | 57 | | 26 | 12 | | 27 | 26 | | 28 | 19 | | 29 | 35 | | 30 | 66 |
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| 91.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 79 | | matches | | 0 | "were traded" | | 1 | "were adorned" | | 2 | "were exchanged" |
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| 88.27% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 179 | | matches | | 0 | "was climbing" | | 1 | "were discussing" | | 2 | "was stepping" |
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| 23.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 96 | | ratio | 0.042 | | matches | | 0 | "This was no ordinary bar; she had heard whispers of it, a place where the supernatural mingled with the mundane, where secrets were traded like currency." | | 1 | "She had lost too much already—her partner, DS Morris, three years ago under circumstances that still haunted her." | | 2 | "Inside, the bar was dimly lit, the air thick with the scent of whiskey and something else—something that sent a shiver down her spine." | | 3 | "As she approached, she caught snippets of their conversation—words like “alchemical” and “forbidden.” They were discussing the very things she needed." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1083 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03139427516158818 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009233610341643583 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 13.81 | | std | 6.57 | | cv | 0.476 | | sampleLengths | | 0 | 20 | | 1 | 17 | | 2 | 15 | | 3 | 16 | | 4 | 13 | | 5 | 10 | | 6 | 20 | | 7 | 18 | | 8 | 26 | | 9 | 7 | | 10 | 9 | | 11 | 15 | | 12 | 19 | | 13 | 22 | | 14 | 21 | | 15 | 16 | | 16 | 12 | | 17 | 11 | | 18 | 18 | | 19 | 15 | | 20 | 19 | | 21 | 18 | | 22 | 14 | | 23 | 16 | | 24 | 14 | | 25 | 18 | | 26 | 13 | | 27 | 3 | | 28 | 8 | | 29 | 26 | | 30 | 22 | | 31 | 3 | | 32 | 18 | | 33 | 8 | | 34 | 9 | | 35 | 24 | | 36 | 19 | | 37 | 13 | | 38 | 10 | | 39 | 4 | | 40 | 16 | | 41 | 26 | | 42 | 8 | | 43 | 12 | | 44 | 13 | | 45 | 13 | | 46 | 3 | | 47 | 8 | | 48 | 8 | | 49 | 20 |
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| 50.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3333333333333333 | | totalSentences | 96 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 78.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 79 | | matches | | 0 | "She could see the suspect’s" | | 1 | "She could hear the distant" | | 2 | "It was just her and" | | 3 | "she shouted, her voice cutting" | | 4 | "He was fast, too fast," | | 5 | "She rounded a corner, her" | | 6 | "He was climbing over a" | | 7 | "She leaped over the wall," | | 8 | "She followed the sound, her" | | 9 | "She could see a faint" | | 10 | "She had lost too much" | | 11 | "She couldn’t afford to let" | | 12 | "Her focus was singular." | | 13 | "She moved to the bar," | | 14 | "He smirked, revealing a gap-toothed" | | 15 | "She could feel the weight" | | 16 | "She had heard of the" | | 17 | "she asked, her voice steady" | | 18 | "She had no time to" | | 19 | "she said, her tone leaving" |
| | ratio | 0.354 | |
| 23.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 79 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn pressed forward," | | 2 | "Each step sent a splash" | | 3 | "The city was alive with" | | 4 | "Quinn’s heart raced, adrenaline surging" | | 5 | "She could see the suspect’s" | | 6 | "Quinn skidded to a halt" | | 7 | "She could hear the distant" | | 8 | "It was just her and" | | 9 | "she shouted, her voice cutting" | | 10 | "The echo of her command" | | 11 | "He was fast, too fast," | | 12 | "The alley was a labyrinth" | | 13 | "Quinn’s boots splashed through puddles," | | 14 | "She rounded a corner, her" | | 15 | "He was climbing over a" | | 16 | "Quinn muttered, her voice barely" | | 17 | "She leaped over the wall," | | 18 | "The ground was uneven, littered" | | 19 | "The suspect was nowhere in" |
| | ratio | 0.873 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "If her suspect had slipped" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 3 | | matches | | 0 | "She could see a faint glow ahead, a flickering light that beckoned her forward." | | 1 | "She had heard of the Veil Market, a hidden underground bazaar that moved locations with the full moon, where enchanted goods and forbidden knowledge were exchan…" | | 2 | "With a final glance at the group, she turned and headed toward the back of the bar, ready to plunge into the unknown, ready to chase the shadows that had haunte…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 9 | | matches | | 0 | "she shouted, her voice cutting through the rain" | | 1 | "Quinn muttered, her voice barely audible over the rain" | | 2 | "she asked, her voice steady despite the turmoil inside her" | | 3 | "she said, her tone leaving no room for doubt" | | 4 | "the bartender called, his voice low" | | 5 | "she interrupted, her voice cutting through their chatter" | | 6 | "Quinn echoed, frustration bubbling beneath her calm exterior" | | 7 | "the woman replied, a sly smile creeping across her lips" | | 8 | "she said, her voice steady" |
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| 42.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "Quinn muttered (mutter)" | | 2 | "she interrupted (interrupt)" |
| | dialogueSentences | 28 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.375 | | effectiveRatio | 0.214 | |