| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 856 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 856 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "scanned" | | 1 | "glinting" | | 2 | "eyebrow" | | 3 | "echoed" | | 4 | "clandestine" | | 5 | "etched" | | 6 | "tracing" | | 7 | "sense of" | | 8 | "stomach" | | 9 | "racing" | | 10 | "standard" | | 11 | "weight" | | 12 | "reminder" | | 13 | "enigma" | | 14 | "jaw clenched" | | 15 | "resolve" | | 16 | "unravel" | | 17 | "delved" | | 18 | "silence" | | 19 | "echoing" | | 20 | "beacon" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "sense of foreboding" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "jaw clenched" | | 1 | "a sense of unease" | | 2 | "a spark of recognition" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 38 | | matches | | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 38 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 48 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 854 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 23.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 591 | | uniqueNames | 15 | | maxNameDensity | 2.54 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 15 | | Tube | 1 | | Veil | 5 | | Market | 2 | | Camden | 1 | | Detective | 2 | | Inspector | 1 | | Liam | 1 | | Reed | 7 | | Compass | 3 | | Morris | 1 | | Eva | 1 | | Kowalski | 1 | | Aurora | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Camden" | | 4 | "Inspector" | | 5 | "Liam" | | 6 | "Reed" | | 7 | "Compass" | | 8 | "Morris" | | 9 | "Eva" | | 10 | "Kowalski" | | 11 | "Aurora" |
| | places | | | globalScore | 0.231 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | 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 | 854 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 48 | | matches | (empty) | |
| 49.45% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 44.95 | | std | 14.52 | | cv | 0.323 | | sampleLengths | | 0 | 62 | | 1 | 56 | | 2 | 37 | | 3 | 42 | | 4 | 40 | | 5 | 55 | | 6 | 15 | | 7 | 38 | | 8 | 63 | | 9 | 27 | | 10 | 47 | | 11 | 68 | | 12 | 29 | | 13 | 68 | | 14 | 37 | | 15 | 58 | | 16 | 44 | | 17 | 32 | | 18 | 36 |
| |
| 96.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 38 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 94 | | matches | (empty) | |
| 23.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 48 | | ratio | 0.042 | | matches | | 0 | "The Veil Market didn't 'find' bodies; it was a place where clandestine deals were struck, and the unexplained were everyday occurrences." | | 1 | "This wasn't just any victim; this was Eva Kowalski, Aurora's childhood friend and an occult researcher." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 544 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.01838235294117647 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0055147058823529415 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 48 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 48 | | mean | 17.79 | | std | 8.32 | | cv | 0.468 | | sampleLengths | | 0 | 31 | | 1 | 15 | | 2 | 16 | | 3 | 19 | | 4 | 19 | | 5 | 18 | | 6 | 16 | | 7 | 16 | | 8 | 5 | | 9 | 12 | | 10 | 26 | | 11 | 4 | | 12 | 8 | | 13 | 32 | | 14 | 13 | | 15 | 21 | | 16 | 21 | | 17 | 15 | | 18 | 20 | | 19 | 18 | | 20 | 9 | | 21 | 18 | | 22 | 11 | | 23 | 25 | | 24 | 14 | | 25 | 13 | | 26 | 2 | | 27 | 45 | | 28 | 11 | | 29 | 38 | | 30 | 19 | | 31 | 7 | | 32 | 22 | | 33 | 15 | | 34 | 20 | | 35 | 16 | | 36 | 17 | | 37 | 15 | | 38 | 22 | | 39 | 16 | | 40 | 18 | | 41 | 16 | | 42 | 8 | | 43 | 20 | | 44 | 24 | | 45 | 16 | | 46 | 16 | | 47 | 36 |
| |
| 90.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5416666666666666 | | totalSentences | 48 | | uniqueOpeners | 26 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 37 | | matches | | 0 | "Typically, such an item would" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 37 | | matches | | 0 | "She approached, her worn leather" | | 1 | "He stood by the barrier," | | 2 | "She echoed, her voice firm," | | 3 | "She knelt beside the shrouded" | | 4 | "She took the bag, her" | | 5 | "She tucked the evidence bag" | | 6 | "She would unravel the threads" |
| | ratio | 0.189 | |
| 27.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 37 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The Veil Market's latest incarnation," | | 2 | "Quinn's eyes, a deep, piercing" | | 3 | "A makeshift barrier, comprised of" | | 4 | "Quinn's gaze homed in on" | | 5 | "She approached, her worn leather" | | 6 | "a voice called out, belonging" | | 7 | "He stood by the barrier," | | 8 | "Quinn raised an eyebrow, her" | | 9 | "She echoed, her voice firm," | | 10 | "Reed shrugged, his eyes crinkling" | | 11 | "Quinn's attention snapped back to" | | 12 | "The Veil Market didn't" | | 13 | "She knelt beside the shrouded" | | 14 | "Quinn asked, not looking up," | | 15 | "Reed walked over, holding out" | | 16 | "Quinn's gaze locked onto the" | | 17 | "The Veil Compass, with its" | | 18 | "She took the bag, her" | | 19 | "Quinn murmured, her mind racing" |
| | ratio | 0.865 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 37 | | matches | | 0 | "Yet, the nagging voice in" |
| | ratio | 0.027 | |
| 18.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 4 | | matches | | 0 | "She approached, her worn leather watch glinting in the faint light that filtered through the grimy skylights above." | | 1 | "She took the bag, her fingers tracing the verdigris patina on the compass's casing, a sense of unease settling in the pit of her stomach." | | 2 | "Quinn's sharp jaw clenched, a resolve forming in her chest, akin to the patina that clung to the Veil Compass." | | 3 | "With a deep breath, Quinn began her meticulous examination of the crime scene, the Veil Compass's presence echoing in her thoughts like a beacon, guiding her to…" |
| |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "The Veil Market didn't, and the unexplained were everyday occurrences" | | 1 | "Quinn murmured, her mind racing with the implications" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "a voice called out (call out)" | | 1 | "Quinn murmured (murmur)" | | 2 | "Quinn ordered (order)" | | 3 | "Quinn whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0.8 | | effectiveRatio | 0.444 | |