| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.423 | | leniency | 0.846 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1138 | | 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) | |
| 3.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1138 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "clandestine" | | 1 | "sentinels" | | 2 | "gloom" | | 3 | "etched" | | 4 | "grave" | | 5 | "raced" | | 6 | "weight" | | 7 | "silence" | | 8 | "echoes" | | 9 | "footsteps" | | 10 | "determined" | | 11 | "reminder" | | 12 | "resolve" | | 13 | "charged" | | 14 | "scanning" | | 15 | "magnetic" | | 16 | "unravel" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" | | 2 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1132 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 902 | | uniqueNames | 8 | | maxNameDensity | 2.66 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 24 | | Quinn | 1 | | Tube | 1 | | Veil | 5 | | Market | 5 | | Kowalski | 1 | | Eva | 13 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Morris" |
| | places | | | globalScore | 0.17 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 1 | | matches | | 0 | "as if sensing the latent energy in the air" |
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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 | 1132 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 35.38 | | std | 19.85 | | cv | 0.561 | | sampleLengths | | 0 | 72 | | 1 | 73 | | 2 | 53 | | 3 | 10 | | 4 | 42 | | 5 | 65 | | 6 | 10 | | 7 | 21 | | 8 | 50 | | 9 | 12 | | 10 | 40 | | 11 | 49 | | 12 | 15 | | 13 | 36 | | 14 | 18 | | 15 | 34 | | 16 | 6 | | 17 | 26 | | 18 | 52 | | 19 | 27 | | 20 | 10 | | 21 | 54 | | 22 | 55 | | 23 | 49 | | 24 | 44 | | 25 | 55 | | 26 | 11 | | 27 | 39 | | 28 | 21 | | 29 | 8 | | 30 | 21 | | 31 | 54 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 69 | | matches | | 0 | "was etched" | | 1 | "was determined" | | 2 | "was determined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 149 | | matches | | |
| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 84 | | ratio | 0.048 | | matches | | 0 | "The air was thick with the scent of mildew and something else—something metallic and sharp that set her instincts on edge." | | 1 | "Harlow's gaze swept over the scattered remnants of the market's last gathering—a toppled cauldron here, a spilled vial of iridescent liquid there." | | 2 | "\"Detective Quinn,\" she greeted, tucking a stray curl behind her ear—a nervous habit Harlow had come to recognize." | | 3 | "The sigil, the compass, the market's sudden silence—it all pointed to something larger, something hidden beneath the surface." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 907 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.022050716648291068 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.012127894156560088 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 13.48 | | std | 6.93 | | cv | 0.514 | | sampleLengths | | 0 | 29 | | 1 | 21 | | 2 | 22 | | 3 | 19 | | 4 | 17 | | 5 | 22 | | 6 | 15 | | 7 | 14 | | 8 | 21 | | 9 | 18 | | 10 | 6 | | 11 | 4 | | 12 | 9 | | 13 | 33 | | 14 | 9 | | 15 | 17 | | 16 | 16 | | 17 | 23 | | 18 | 10 | | 19 | 5 | | 20 | 16 | | 21 | 10 | | 22 | 17 | | 23 | 2 | | 24 | 6 | | 25 | 15 | | 26 | 12 | | 27 | 4 | | 28 | 28 | | 29 | 8 | | 30 | 12 | | 31 | 20 | | 32 | 10 | | 33 | 7 | | 34 | 2 | | 35 | 13 | | 36 | 11 | | 37 | 18 | | 38 | 7 | | 39 | 10 | | 40 | 8 | | 41 | 7 | | 42 | 27 | | 43 | 3 | | 44 | 3 | | 45 | 2 | | 46 | 24 | | 47 | 9 | | 48 | 18 | | 49 | 7 |
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| 55.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.34523809523809523 | | totalSentences | 84 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 65 | | matches | | 0 | "She adjusted the collar of" | | 1 | "She clutched her worn leather" | | 2 | "she greeted, tucking a stray" | | 3 | "She trailed off, glancing at" | | 4 | "She crouched beside him, noting" | | 5 | "Her eyes narrowed as she" | | 6 | "She glanced at Eva, who" | | 7 | "She reached into her satchel" | | 8 | "she murmured, recognizing the craftsmanship" | | 9 | "She turned to Eva, her" | | 10 | "She glanced at the compass" | | 11 | "She exchanged a glance with" | | 12 | "They stepped into the passage," | | 13 | "She reached for the compass," |
| | ratio | 0.215 | |
| 13.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 65 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The air was thick with" | | 2 | "She adjusted the collar of" | | 3 | "The Veil Market, usually bustling" | | 4 | "The stalls, draped in shadow," | | 5 | "Harlow's gaze swept over the" | | 6 | "Eva Kowalski stood nearby, her" | | 7 | "She clutched her worn leather" | | 8 | "she greeted, tucking a stray" | | 9 | "Harlow replied, her voice steady" | | 10 | "Eva gestured to the body," | | 11 | "She trailed off, glancing at" | | 12 | "Harlow approached the body, her" | | 13 | "The victim was a man," | | 14 | "She crouched beside him, noting" | | 15 | "Her eyes narrowed as she" | | 16 | "Harlow asked, pointing to the" | | 17 | "Eva nodded, her expression grave." | | 18 | "Harlow's mind raced, piecing together" | | 19 | "The Veil Market was a" |
| | ratio | 0.892 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 90.59% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 3 | | matches | | 0 | "The face was etched with protective sigils, the needle quivering slightly as if sensing the latent energy in the air." | | 1 | "As they walked, Harlow's thoughts drifted to her partner, DS Morris, lost to a case that had defied explanation." | | 2 | "She exchanged a glance with Eva, who nodded, her expression tense but determined." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "Harlow replied, her voice steady" | | 1 | "She reached, its casing tarnished with a patina of verdigris" | | 2 | "Eva whispered, her voice barely audible" | | 3 | "Harlow said, her voice steady" |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 26 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.25 | | effectiveRatio | 0.154 | |