| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn replied tersely [tersely]" |
| | dialogueSentences | 41 | | tagDensity | 0.585 | | leniency | 1 | | rawRatio | 0.042 | | effectiveRatio | 0.042 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1072 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 1072 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "silence" | | 1 | "gloom" | | 2 | "furrowing" | | 3 | "tension" | | 4 | "amidst" | | 5 | "raced" | | 6 | "tracing" | | 7 | "etched" | | 8 | "racing" | | 9 | "flickered" | | 10 | "familiar" | | 11 | "pulse" | | 12 | "resolve" | | 13 | "scanning" | | 14 | "wavered" | | 15 | "trepidation" | | 16 | "sinister" | | 17 | "pounding" | | 18 | "foreboding" | | 19 | "quivered" | | 20 | "dance" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 65 | | matches | | |
| 76.92% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 65 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1062 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 63.45% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 751 | | uniqueNames | 7 | | maxNameDensity | 1.73 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 13 | | Camden | 1 | | Tube | 1 | | Detective | 1 | | Harris | 9 | | Morris | 2 | | Russell | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Detective" | | 2 | "Harris" | | 3 | "Morris" | | 4 | "Russell" |
| | places | (empty) | | globalScore | 0.634 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 1062 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 26.55 | | std | 14.61 | | cv | 0.55 | | sampleLengths | | 0 | 66 | | 1 | 30 | | 2 | 17 | | 3 | 26 | | 4 | 14 | | 5 | 28 | | 6 | 25 | | 7 | 59 | | 8 | 43 | | 9 | 9 | | 10 | 30 | | 11 | 14 | | 12 | 30 | | 13 | 12 | | 14 | 17 | | 15 | 43 | | 16 | 36 | | 17 | 22 | | 18 | 16 | | 19 | 9 | | 20 | 41 | | 21 | 12 | | 22 | 42 | | 23 | 26 | | 24 | 27 | | 25 | 12 | | 26 | 47 | | 27 | 36 | | 28 | 22 | | 29 | 17 | | 30 | 28 | | 31 | 16 | | 32 | 32 | | 33 | 10 | | 34 | 19 | | 35 | 12 | | 36 | 55 | | 37 | 6 | | 38 | 42 | | 39 | 14 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 145 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 83 | | ratio | 0.072 | | matches | | 0 | "\"What do you mean? This station's been dead years; it’s a known haunt for junkies.\"" | | 1 | "\"You see these markings?\" She gestured towards symbols etched into the concrete—almost like an invocation—a careless amateur wholly unaware of the dangers they templatized." | | 2 | "It was fortuitous—or suspicious." | | 3 | "This was not a murder scene; it was an unveiling." | | 4 | "Maybe the victim was part of something larger—the whispers of it lingered—like back then, with Morris." | | 5 | "Quinn felt it before she saw it—a shift, a presence lurking in the ether, manoeuvring the threads of fate with intention." |
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| 97.47% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 521 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.03838771593090211 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.023032629558541268 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 12.8 | | std | 6.77 | | cv | 0.529 | | sampleLengths | | 0 | 21 | | 1 | 28 | | 2 | 17 | | 3 | 10 | | 4 | 20 | | 5 | 17 | | 6 | 15 | | 7 | 11 | | 8 | 9 | | 9 | 5 | | 10 | 4 | | 11 | 13 | | 12 | 11 | | 13 | 10 | | 14 | 15 | | 15 | 29 | | 16 | 3 | | 17 | 9 | | 18 | 18 | | 19 | 24 | | 20 | 19 | | 21 | 4 | | 22 | 5 | | 23 | 10 | | 24 | 20 | | 25 | 9 | | 26 | 5 | | 27 | 15 | | 28 | 6 | | 29 | 9 | | 30 | 12 | | 31 | 3 | | 32 | 14 | | 33 | 17 | | 34 | 2 | | 35 | 11 | | 36 | 13 | | 37 | 16 | | 38 | 20 | | 39 | 10 | | 40 | 12 | | 41 | 4 | | 42 | 12 | | 43 | 9 | | 44 | 17 | | 45 | 24 | | 46 | 12 | | 47 | 9 | | 48 | 29 | | 49 | 4 |
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| 89.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5421686746987951 | | totalSentences | 83 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 62 | | matches | | 0 | "Just like the case that" | | 1 | "Maybe the victim was part" |
| | ratio | 0.032 | |
| 90.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 62 | | matches | | 0 | "She knelt over the body" | | 1 | "Her colleague, Detective Harris, approached," | | 2 | "He held a beam of" | | 3 | "he asked, sweeping the light" | | 4 | "He huffed, stepping around her" | | 5 | "She cast her gaze along" | | 6 | "She gestured towards symbols etched" | | 7 | "She shifted closer to the" | | 8 | "she snapped, tossing the torch" | | 9 | "She returned the compass to" | | 10 | "he murmured, doubt still clouding" | | 11 | "He lifted the torch high" | | 12 | "It was fortuitous—or suspicious." | | 13 | "she commanded, eyes narrowing" | | 14 | "he nodded, hurrying away to" | | 15 | "he murmured, his tone in" | | 16 | "he asked, glancing back at" | | 17 | "She stepped closer to the" | | 18 | "He hesitated, his voice sharp" | | 19 | "Her breath caught." |
| | ratio | 0.323 | |
| 56.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 62 | | matches | | 0 | "Harlow Quinn barked, her sharp" | | 1 | "She knelt over the body" | | 2 | "A heavy silence enveloped the" | | 3 | "Her colleague, Detective Harris, approached," | | 4 | "He held a beam of" | | 5 | "he asked, sweeping the light" | | 6 | "Quinn replied tersely, her brow" | | 7 | "Harris said, adjusting his collar" | | 8 | "Quinn shook her head." | | 9 | "A bygone tension hung in" | | 10 | "He huffed, stepping around her" | | 11 | "The body lay unceremoniously on" | | 12 | "Quinn’s heart raced." | | 13 | "A deeper instinct began to" | | 14 | "She cast her gaze along" | | 15 | "She gestured towards symbols etched" | | 16 | "Harris nodded, still sceptical." | | 17 | "Quinn replied, her mind racing" | | 18 | "Harris hesitated, the gears in" | | 19 | "She shifted closer to the" |
| | ratio | 0.806 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 62 | | matches | | 0 | "Before he could voice further" | | 1 | "Before they could turn back," |
| | ratio | 0.032 | |
| 15.31% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 5 | | matches | | 0 | "He held a beam of light that sliced through the gloom, revealing a tangle of matted hair and torn clothing." | | 1 | "The body lay unceremoniously on its side amidst a scattered array of strange objects: glass vials, tarnished trinkets, and an old, rusted compass that gleamed f…" | | 2 | "Just like the case that had cost her partner, DS Morris." | | 3 | "Flickering light illuminated the edges, revealing a dull brass plate encrusted with symbols that matched those around the body." | | 4 | "The air buzzed, electrifying with untamed energy, a pulse that flickered in time with the errant needle of the compass." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 6 | | matches | | 0 | "Harlow Quinn barked, her sharp jawline rigid with frustration" | | 1 | "Quinn replied, her mind racing" | | 2 | "Harris inched, curiosity piquing" | | 3 | "she commanded, eyes narrowing" | | 4 | "She stepped, heart pounding, a foreboding sensation somewhere in her gut" | | 5 | "He hesitated, his voice sharp like a knife" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 7 | | fancyTags | | 0 | "Harlow Quinn barked (bark)" | | 1 | "she snapped (snap)" | | 2 | "Quinn whispered (whisper)" | | 3 | "he murmured (murmur)" | | 4 | "The symbols screamed (scream)" | | 5 | "Quinn breathed (breathe)" | | 6 | "he murmured (murmur)" |
| | dialogueSentences | 41 | | tagDensity | 0.317 | | leniency | 0.634 | | rawRatio | 0.538 | | effectiveRatio | 0.341 | |