| 28.57% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 32 | | adverbTagCount | 6 | | adverbTags | | 0 | "She gestured around [around]" | | 1 | "Eva's voice dropped further [further]" | | 2 | "Quinn said finally [finally]" | | 3 | "Quinn lied smoothly [smoothly]" | | 4 | "Quinn said firmly [firmly]" | | 5 | "Quinn said finally [finally]" |
| | dialogueSentences | 70 | | tagDensity | 0.457 | | leniency | 0.914 | | rawRatio | 0.188 | | effectiveRatio | 0.171 | |
| 93.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1646 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | |
| | highlights | | 0 | "deliberately" | | 1 | "nervously" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 63.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1646 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "comfortable" | | 1 | "scanning" | | 2 | "constructed" | | 3 | "absolutely" | | 4 | "perfect" | | 5 | "preposterous" | | 6 | "spectral" | | 7 | "firmly" | | 8 | "cataloged" | | 9 | "silence" | | 10 | "determined" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 3 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 3 |
|
| | highlights | | 0 | "blood went cold" | | 1 | "eyes widened" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 101 | | matches | | 0 | "looked confused" | | 1 | "d with surprise" |
| |
| 57.99% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" | | 2 | "tended to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1635 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 75 | | wordCount | 1006 | | uniqueNames | 13 | | maxNameDensity | 3.48 | | worstName | "Quinn" | | maxWindowNameDensity | 6 | | worstWindowName | "Quinn" | | discoveredNames | | Underground | 1 | | Harlow | 1 | | Quinn | 35 | | Morris | 4 | | Hackney | 1 | | Tube | 1 | | Transport | 1 | | London | 3 | | Eva | 23 | | Kowalski | 1 | | Three | 2 | | One | 1 | | East | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "One" |
| | places | | 0 | "Hackney" | | 1 | "London" | | 2 | "East" |
| | globalScore | 0 | | windowScore | 0 | |
| 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 | 1 | | per1kWords | 0.612 | | wordCount | 1635 | | matches | | 0 | "not a question but an observation" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 137 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 25.95 | | std | 15.47 | | cv | 0.596 | | sampleLengths | | 0 | 43 | | 1 | 16 | | 2 | 23 | | 3 | 67 | | 4 | 51 | | 5 | 33 | | 6 | 35 | | 7 | 14 | | 8 | 55 | | 9 | 31 | | 10 | 9 | | 11 | 23 | | 12 | 56 | | 13 | 7 | | 14 | 21 | | 15 | 19 | | 16 | 57 | | 17 | 19 | | 18 | 24 | | 19 | 17 | | 20 | 10 | | 21 | 34 | | 22 | 9 | | 23 | 2 | | 24 | 45 | | 25 | 23 | | 26 | 33 | | 27 | 13 | | 28 | 11 | | 29 | 29 | | 30 | 6 | | 31 | 39 | | 32 | 17 | | 33 | 22 | | 34 | 29 | | 35 | 50 | | 36 | 24 | | 37 | 8 | | 38 | 14 | | 39 | 56 | | 40 | 25 | | 41 | 19 | | 42 | 22 | | 43 | 35 | | 44 | 7 | | 45 | 61 | | 46 | 5 | | 47 | 28 | | 48 | 23 | | 49 | 19 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 101 | | matches | | 0 | "were constructed" | | 1 | "was made" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 195 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 137 | | ratio | 0.058 | | matches | | 0 | "Three years ago, she might have called this routine—unusual, certainly, but still within the comfortable boundaries of metropolitan police work." | | 1 | "\"Detective Quinn. Wasn't sure they'd send you.\" The forensic technician glanced up from where he knelt beside what appeared to be a market stall—one of dozens arranged in neat rows throughout the platform." | | 2 | "In truth, she'd reviewed the files Eva had provided for previous cases—files that mentioned the token requirement in margin notes the young researcher probably hadn't intended to share." | | 3 | "Quinn recognized many of the locations—sites of unexplained incidents over the past five years." | | 4 | "\"—absolutely not possible,\" the technician was saying." | | 5 | "The technician had mapped out blood spray consistent with a slashing attack, but Eva was right—the pattern was wrong." | | 6 | "\"The attack didn't happen here. Or rather, it didn't happen in this physical space.\" She pointed to a residue Quinn hadn't noticed before—a silvery substance that formed a perfect circle on the floor." | | 7 | "The younger woman's expression confirmed what Quinn was beginning to suspect—that the thread connecting these cases went deeper than conventional investigation could reveal." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1023 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.028347996089931573 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.015640273704789834 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 11.93 | | std | 7.6 | | cv | 0.636 | | sampleLengths | | 0 | 10 | | 1 | 28 | | 2 | 2 | | 3 | 3 | | 4 | 16 | | 5 | 8 | | 6 | 15 | | 7 | 8 | | 8 | 12 | | 9 | 20 | | 10 | 15 | | 11 | 12 | | 12 | 14 | | 13 | 20 | | 14 | 17 | | 15 | 33 | | 16 | 12 | | 17 | 11 | | 18 | 9 | | 19 | 3 | | 20 | 14 | | 21 | 14 | | 22 | 9 | | 23 | 10 | | 24 | 12 | | 25 | 10 | | 26 | 20 | | 27 | 11 | | 28 | 9 | | 29 | 13 | | 30 | 10 | | 31 | 20 | | 32 | 23 | | 33 | 13 | | 34 | 5 | | 35 | 2 | | 36 | 21 | | 37 | 10 | | 38 | 9 | | 39 | 11 | | 40 | 46 | | 41 | 15 | | 42 | 4 | | 43 | 19 | | 44 | 5 | | 45 | 8 | | 46 | 9 | | 47 | 6 | | 48 | 4 | | 49 | 8 |
| |
| 66.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4233576642335766 | | totalSentences | 137 | | uniqueOpeners | 58 | |
| 35.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 95 | | matches | | 0 | "Once they were alone, Quinn" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 95 | | matches | | 0 | "she asked, her breath visible" | | 1 | "Her hand brushed unconsciously against" | | 2 | "They reached a landing that" | | 3 | "She found Eva Kowalski crouched" | | 4 | "she said, relief evident in" | | 5 | "She gestured around them" | | 6 | "She pointed to an inscription" | | 7 | "They spent the next hour" | | 8 | "She closed the file, tucking" | | 9 | "She pointed to a residue" | | 10 | "It reminded her of the" | | 11 | "She thought of Morris, of" | | 12 | "She had dismissed it then." | | 13 | "She wouldn't make the same" | | 14 | "Her sharp jaw set in" |
| | ratio | 0.158 | |
| 49.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 95 | | matches | | 0 | "The stairwell descended deeper than" | | 1 | "Detective Harlow Quinn counted each" | | 2 | "she asked, her breath visible" | | 3 | "the uniform replied without turning" | | 4 | "Quinn nodded, though no one" | | 5 | "Her hand brushed unconsciously against" | | 6 | "They reached a landing that" | | 7 | "The space stretched out before" | | 8 | "Arc lights had been set" | | 9 | "The forensic technician glanced up" | | 10 | "Quinn replied, scanning the platform" | | 11 | "The stalls were empty now," | | 12 | "Some had glass cases, others" | | 13 | "The tech's tone suggested skepticism" | | 14 | "Quinn made her way through" | | 15 | "This wasn't some impromptu homeless" | | 16 | "The stalls were well-constructed, the" | | 17 | "Someone had invested considerable time" | | 18 | "She found Eva Kowalski crouched" | | 19 | "The young woman's green eyes" |
| | ratio | 0.821 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 95 | | matches | | 0 | "Before she started seeing the" | | 1 | "Now, she simply asked," |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 32 | | uselessAdditionCount | 2 | | matches | | 0 | "she asked, her breath visible in the increasingly cold air" | | 1 | "Quinn said, her voice hard" |
| |
| 64.29% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 6 | | fancyTags | | 0 | "The tech's tone suggested (suggest)" | | 1 | "Eva confirmed (confirm)" | | 2 | "Quinn lied smoothly (lie)" | | 3 | "Eva challenged (challenge)" | | 4 | "Quinn ordered (order)" | | 5 | "Eva admitted (admit)" |
| | dialogueSentences | 70 | | tagDensity | 0.257 | | leniency | 0.514 | | rawRatio | 0.333 | | effectiveRatio | 0.171 | |