| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 2 | | adverbTags | | 0 | "She swallowed hard [hard]" | | 1 | "he shouted back [back]" |
| | dialogueSentences | 36 | | tagDensity | 0.611 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |
| 88.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1291 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "angrily" | | 1 | "warily" | | 2 | "suddenly" |
| |
| 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 | 1291 | | totalAiIsms | 34 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | | | 28 | |
| | highlights | | 0 | "churned" | | 1 | "echoing" | | 2 | "loomed" | | 3 | "flickered" | | 4 | "depths" | | 5 | "intrigue" | | 6 | "resolve" | | 7 | "familiar" | | 8 | "warmth" | | 9 | "flicker" | | 10 | "sense of" | | 11 | "could feel" | | 12 | "echoed" | | 13 | "etched" | | 14 | "chill" | | 15 | "scanning" | | 16 | "glinting" | | 17 | "tangible" | | 18 | "weight" | | 19 | "flicked" | | 20 | "clandestine" | | 21 | "wavered" | | 22 | "racing" | | 23 | "gleaming" | | 24 | "pounding" | | 25 | "navigated" | | 26 | "treacherous" | | 27 | "palpable" | | 28 | "tension" |
| |
| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
| | 2 | | label | "air was thick with" | | count | 1 |
| | 3 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "clenched her jaw" | | 2 | "The air was thick with" | | 3 | "a flicker of hope" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 82 | | matches | | 0 | "d with frustration" | | 1 | "a flicker of hope" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1284 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1117 | | uniqueNames | 7 | | maxNameDensity | 0.72 | | worstName | "Tommy" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Market" | | discoveredNames | | Harlow | 3 | | Quinn | 6 | | Tube | 1 | | Veil | 2 | | Market | 4 | | Tommy | 8 | | Suddenly | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Tommy" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | 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 | 1284 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 27.91 | | std | 15.51 | | cv | 0.556 | | sampleLengths | | 0 | 58 | | 1 | 9 | | 2 | 45 | | 3 | 63 | | 4 | 32 | | 5 | 50 | | 6 | 16 | | 7 | 51 | | 8 | 33 | | 9 | 43 | | 10 | 29 | | 11 | 30 | | 12 | 16 | | 13 | 20 | | 14 | 25 | | 15 | 20 | | 16 | 4 | | 17 | 7 | | 18 | 37 | | 19 | 39 | | 20 | 29 | | 21 | 7 | | 22 | 39 | | 23 | 12 | | 24 | 12 | | 25 | 21 | | 26 | 40 | | 27 | 11 | | 28 | 11 | | 29 | 30 | | 30 | 23 | | 31 | 68 | | 32 | 36 | | 33 | 17 | | 34 | 21 | | 35 | 16 | | 36 | 14 | | 37 | 31 | | 38 | 12 | | 39 | 13 | | 40 | 29 | | 41 | 20 | | 42 | 49 | | 43 | 21 | | 44 | 31 | | 45 | 44 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 184 | | matches | | 0 | "was becoming were barreling" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 95 | | ratio | 0.074 | | matches | | 0 | "She barely recognised the words; it was the instinctive command of a hunter." | | 1 | "Anger smoldered beneath the surface; her gut churned with frustration." | | 2 | "The air was thick with the tang of iron and something else—something ancient and unsettling." | | 3 | "Yet, she felt a pull—a heady mix of fear and intrigue that had always attracted her to the fringe of normality." | | 4 | "They lunged forward—their quarry and their hunters colliding in this unholy valley of forbidden trade." | | 5 | "No one turned to help; they didn't exist outside their dealings, this old theatre of sin." | | 6 | "The Market had been a choice—a decision to pursue justice into the darkest depths." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 327 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.03669724770642202 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0030581039755351682 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 13.52 | | std | 7.35 | | cv | 0.544 | | sampleLengths | | 0 | 15 | | 1 | 20 | | 2 | 23 | | 3 | 9 | | 4 | 13 | | 5 | 10 | | 6 | 13 | | 7 | 9 | | 8 | 15 | | 9 | 21 | | 10 | 11 | | 11 | 16 | | 12 | 7 | | 13 | 25 | | 14 | 23 | | 15 | 8 | | 16 | 19 | | 17 | 5 | | 18 | 11 | | 19 | 17 | | 20 | 19 | | 21 | 15 | | 22 | 21 | | 23 | 12 | | 24 | 21 | | 25 | 22 | | 26 | 8 | | 27 | 21 | | 28 | 21 | | 29 | 9 | | 30 | 13 | | 31 | 3 | | 32 | 18 | | 33 | 2 | | 34 | 9 | | 35 | 10 | | 36 | 6 | | 37 | 6 | | 38 | 5 | | 39 | 5 | | 40 | 4 | | 41 | 4 | | 42 | 7 | | 43 | 16 | | 44 | 7 | | 45 | 14 | | 46 | 39 | | 47 | 29 | | 48 | 7 | | 49 | 10 |
| |
| 81.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5157894736842106 | | totalSentences | 95 | | uniqueOpeners | 49 | |
| 82.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 81 | | matches | | 0 | "Suddenly, two figures clad in" | | 1 | "Somewhere behind, gunfire erupted in" |
| | ratio | 0.025 | |
| 66.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 81 | | matches | | 0 | "She pressed on, boots splashing" | | 1 | "she shouted, the sound swallowed" | | 2 | "She barely recognised the words;" | | 3 | "Her heart hammered against her" | | 4 | "She could hear the suspect's" | | 5 | "she spat, pushing herself harder" | | 6 | "She lunged forward, slipping into" | | 7 | "She emerged into a sweeping" | | 8 | "Her quarry was already disappearing" | | 9 | "she muttered, fingers clawing at" | | 10 | "Her instincts screamed at her," | | 11 | "It was Tommy." | | 12 | "She nearly turned back, but" | | 13 | "he said, hands raised in" | | 14 | "He stepped forward, muddy brown" | | 15 | "She glanced towards the tunnel." | | 16 | "she snapped, stepping closer to" | | 17 | "She could feel the thrum" | | 18 | "She swallowed hard, not taking" | | 19 | "she hissed, her foot moving" |
| | ratio | 0.383 | |
| 52.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 81 | | matches | | 0 | "The figure darted around a" | | 1 | "Detective Harlow Quinn's breath came" | | 2 | "She pressed on, boots splashing" | | 3 | "she shouted, the sound swallowed" | | 4 | "She barely recognised the words;" | | 5 | "Anger smoldered beneath the surface;" | | 6 | "This filth had slipped through" | | 7 | "Tonight, she would put an" | | 8 | "The suspect darted down an" | | 9 | "Quinn pushed through the narrow" | | 10 | "Her heart hammered against her" | | 11 | "She could hear the suspect's" | | 12 | "she spat, pushing herself harder" | | 13 | "The world boiled down to" | | 14 | "The entrance loomed before her," | | 15 | "She lunged forward, slipping into" | | 16 | "She emerged into a sweeping" | | 17 | "The low light flickered, illuminating" | | 18 | "The air was thick with" | | 19 | "Harlow peered down the length" |
| | ratio | 0.815 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 81 | | matches | | 0 | "Yet, she felt a pull—a" | | 1 | "Now it was becoming a" |
| | ratio | 0.025 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 1 | | matches | | 0 | "She pressed on, boots splashing through puddles that reflected the warm glow of street lamps above, the neon signs flickering in the downpour." |
| |
| 11.36% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 5 | | matches | | 0 | "he said, hands raised in surrender" | | 1 | "she hissed, her foot moving instinctively into the tunnel" | | 2 | "she murmured, straining to catch sight of her quarry amid the throng" | | 3 | "she snapped, adrenaline fuelling her impatience" | | 4 | "she barked, heart racing as her vision sharpened" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 14 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "she spat (spit)" | | 2 | "she muttered (mutter)" | | 3 | "she snapped (snap)" | | 4 | "she hissed (hiss)" | | 5 | "he shouted back (shout)" | | 6 | "Tommy whispered (whisper)" | | 7 | "Tommy hissed (hiss)" | | 8 | "she murmured (murmur)" | | 9 | "she snapped (snap)" | | 10 | "she barked (bark)" | | 11 | "Tommy faltered (falter)" | | 12 | "Quinn shouted (shout)" | | 13 | "she yelled (yell)" |
| | dialogueSentences | 36 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.933 | | effectiveRatio | 0.778 | |