| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.381 | | leniency | 0.762 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 731 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "precisely" | | 1 | "slightly" | | 2 | "gently" |
| |
| 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) | |
| 24.76% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 731 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "stark" | | 1 | "clandestine" | | 2 | "perfect" | | 3 | "scanning" | | 4 | "eyebrow" | | 5 | "glinting" | | 6 | "etched" | | 7 | "racing" | | 8 | "echo" | | 9 | "footsteps" | | 10 | "depths" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 31 | | matches | (empty) | |
| 50.69% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 31 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 44 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 730 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 428 | | uniqueNames | 7 | | maxNameDensity | 3.5 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 15 | | Tube | 1 | | Camden | 1 | | Dr | 1 | | Lee | 10 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Dr" | | 3 | "Lee" | | 4 | "Morris" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 26 | | 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 | 730 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 44 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 34.76 | | std | 17.66 | | cv | 0.508 | | sampleLengths | | 0 | 73 | | 1 | 28 | | 2 | 11 | | 3 | 35 | | 4 | 32 | | 5 | 31 | | 6 | 28 | | 7 | 44 | | 8 | 67 | | 9 | 18 | | 10 | 26 | | 11 | 20 | | 12 | 8 | | 13 | 45 | | 14 | 19 | | 15 | 59 | | 16 | 62 | | 17 | 42 | | 18 | 20 | | 19 | 29 | | 20 | 33 |
| |
| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 31 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 69 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 4 | | flaggedSentences | 5 | | totalSentences | 44 | | ratio | 0.114 | | matches | | 0 | "Quinn's gut told her this wasn't a coincidence; the market's clandestine nature was precisely why she'd been summoned." | | 1 | "\"Given the market's... unique nature, I suspect an internal dispute. Perhaps a deal gone wrong. Note the lack of stolen goods; the victim's pockets are intact, and the stalls, though disheveled, don't appear to have been looted.\"" | | 2 | "\"The lack of witnesses, the untouched goods... this feels staged. Our victim might not have been the target; he could have been the message.\"" | | 3 | "A small, almost imperceptible mark on the palm caught her attention - a symbol she recognized from her past, unsolved case, the one that had taken DS Morris's life." | | 4 | "\"I want forensics to scan for any supernatural residues, and I need to speak with the market's organizers. This isn't just a crime scene; it's a doorway to something more.\"" |
| |
| 99.14% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 428 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.037383177570093455 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.02102803738317757 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 44 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 44 | | mean | 16.59 | | std | 8.41 | | cv | 0.507 | | sampleLengths | | 0 | 19 | | 1 | 15 | | 2 | 21 | | 3 | 18 | | 4 | 17 | | 5 | 11 | | 6 | 4 | | 7 | 7 | | 8 | 23 | | 9 | 12 | | 10 | 14 | | 11 | 5 | | 12 | 13 | | 13 | 9 | | 14 | 22 | | 15 | 15 | | 16 | 13 | | 17 | 7 | | 18 | 37 | | 19 | 10 | | 20 | 12 | | 21 | 11 | | 22 | 12 | | 23 | 22 | | 24 | 18 | | 25 | 26 | | 26 | 6 | | 27 | 14 | | 28 | 2 | | 29 | 6 | | 30 | 21 | | 31 | 24 | | 32 | 4 | | 33 | 15 | | 34 | 14 | | 35 | 16 | | 36 | 29 | | 37 | 32 | | 38 | 30 | | 39 | 23 | | 40 | 19 | | 41 | 20 | | 42 | 29 | | 43 | 33 |
| |
| 88.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5454545454545454 | | totalSentences | 44 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 30 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 30 | | matches | | 0 | "She spotted her colleague, Dr." | | 1 | "Her gaze drifted back to" | | 2 | "She walked over to a" | | 3 | "She gently lifted the victim's" |
| | ratio | 0.133 | |
| 26.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 26 | | totalSentences | 30 | | matches | | 0 | "Detective Harlow Quinn descended the" | | 1 | "The air reeked of dampness" | | 2 | "A makeshift sign, scrawled in" | | 3 | "Quinn's gut told her this" | | 4 | "Quinn flashed her badge." | | 5 | "Jensen handed Quinn a pair" | | 6 | "Quinn's gaze swept the area," | | 7 | "She spotted her colleague, Dr." | | 8 | "Henry Lee, crouched beside a" | | 9 | "Lee said, not looking up" | | 10 | "Quinn approached, her eyes scanning" | | 11 | "Lee finally stood, brushing off" | | 12 | "Quinn's sharp jawline tilted slightly" | | 13 | "Her gaze drifted back to" | | 14 | "Something nagged at her, refusing" | | 15 | "She walked over to a" | | 16 | "Quinn asked, not turning from" | | 17 | "Quinn's attention snapped back to" | | 18 | "Quinn finished, her brown eyes" | | 19 | "Lee raised an eyebrow." |
| | ratio | 0.867 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 30 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 4 | | matches | | 0 | "Lee said, not looking up" | | 1 | "Quinn asked, not turning from the stall" | | 2 | "Quinn finished, her brown eyes locking onto the body once more" | | 3 | "Lee called, but Quinn's response was merely the echo of her footsteps, fading into the depths of the tunnel, in pursuit of the truth that lay beyond the veil" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0 | | effectiveRatio | 0 | |