| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 32 | | adverbTagCount | 3 | | adverbTags | | 0 | "DS Morris had always [always]" | | 1 | "Harlow knelt again [again]" | | 2 | "Davies said quietly [quietly]" |
| | dialogueSentences | 58 | | tagDensity | 0.552 | | leniency | 1 | | rawRatio | 0.094 | | effectiveRatio | 0.094 | |
| 85.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1026 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "really" |
| |
| 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) | |
| 17.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1026 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "searing" | | 1 | "charm" | | 2 | "pulsed" | | 3 | "rhythmic" | | 4 | "echoing" | | 5 | "familiar" | | 6 | "warmth" | | 7 | "scanned" | | 8 | "etched" | | 9 | "electric" | | 10 | "perfect" | | 11 | "shimmered" | | 12 | "vibrated" | | 13 | "silence" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1021 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 706 | | uniqueNames | 15 | | maxNameDensity | 3.54 | | worstName | "Harlow" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Harlow" | | discoveredNames | | Detective | 1 | | Harlow | 25 | | Quinn | 1 | | Thames | 1 | | Morris | 4 | | Funny | 1 | | Charing | 1 | | Cross | 1 | | Tube | 1 | | Platform | 1 | | Two | 1 | | Davies | 14 | | Male | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Davies" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like touching cold smoke" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1021 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 19.63 | | std | 12.37 | | cv | 0.63 | | sampleLengths | | 0 | 46 | | 1 | 30 | | 2 | 3 | | 3 | 6 | | 4 | 23 | | 5 | 45 | | 6 | 16 | | 7 | 18 | | 8 | 7 | | 9 | 28 | | 10 | 12 | | 11 | 38 | | 12 | 3 | | 13 | 31 | | 14 | 1 | | 15 | 27 | | 16 | 24 | | 17 | 20 | | 18 | 9 | | 19 | 39 | | 20 | 5 | | 21 | 30 | | 22 | 15 | | 23 | 1 | | 24 | 24 | | 25 | 3 | | 26 | 31 | | 27 | 18 | | 28 | 33 | | 29 | 9 | | 30 | 34 | | 31 | 19 | | 32 | 21 | | 33 | 25 | | 34 | 8 | | 35 | 25 | | 36 | 5 | | 37 | 22 | | 38 | 36 | | 39 | 5 | | 40 | 3 | | 41 | 32 | | 42 | 35 | | 43 | 13 | | 44 | 22 | | 45 | 17 | | 46 | 39 | | 47 | 10 | | 48 | 7 | | 49 | 21 |
| |
| 89.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 89 | | matches | | 0 | "were bound" | | 1 | "was etched" | | 2 | "was repurposed" | | 3 | "being cocked" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 17.54% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 114 | | ratio | 0.044 | | matches | | 0 | "The platform wasn't just abandoned; it was repurposed." | | 1 | "Candles—electric ones, Harlow noted—burned in careful patterns." | | 2 | "\"People who play with these things\"—Harlow gestured to the symbols—\"they don't leave loose ends. Not unless they want to be found.\"" | | 3 | "The air changed—damp earth replaced concrete, and the scent of metal grew stronger, coppery." | | 4 | "\"No. She stays there. This\"—he gestured to the now-solid wall—\"was never meant for her. Or for you, really.\"" |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 487 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.03285420944558522 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008213552361396304 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 8.96 | | std | 5.07 | | cv | 0.566 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 13 | | 3 | 19 | | 4 | 11 | | 5 | 3 | | 6 | 6 | | 7 | 3 | | 8 | 12 | | 9 | 8 | | 10 | 6 | | 11 | 14 | | 12 | 12 | | 13 | 13 | | 14 | 16 | | 15 | 18 | | 16 | 7 | | 17 | 6 | | 18 | 15 | | 19 | 1 | | 20 | 6 | | 21 | 8 | | 22 | 4 | | 23 | 13 | | 24 | 10 | | 25 | 7 | | 26 | 1 | | 27 | 1 | | 28 | 6 | | 29 | 3 | | 30 | 13 | | 31 | 15 | | 32 | 3 | | 33 | 1 | | 34 | 14 | | 35 | 13 | | 36 | 17 | | 37 | 7 | | 38 | 11 | | 39 | 9 | | 40 | 5 | | 41 | 4 | | 42 | 7 | | 43 | 8 | | 44 | 5 | | 45 | 7 | | 46 | 12 | | 47 | 5 | | 48 | 11 | | 49 | 19 |
| |
| 83.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5087719298245614 | | totalSentences | 114 | | uniqueOpeners | 58 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 77 | | matches | | 0 | "Too clean for the surrounding" | | 1 | "More like oil on water." | | 2 | "Then the click of a" |
| | ratio | 0.039 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 77 | | matches | | 0 | "She'd held it for three" | | 1 | "His cheeks puffed out from" | | 2 | "She knelt beside Davies, noting" | | 3 | "They were bound with leather" | | 4 | "Its face was etched with" | | 5 | "It glowed faintly in the" | | 6 | "They were similar to those" | | 7 | "She took a breath." | | 8 | "Its needle whirred, then pointed" | | 9 | "She moved toward the wall," | | 10 | "She reached out with her" | | 11 | "It felt like touching cold" | | 12 | "Her hand passed through, and" | | 13 | "She drew her service weapon," | | 14 | "he gestured to the now-solid" | | 15 | "His face was gaunt, his" |
| | ratio | 0.208 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 77 | | matches | | 0 | "The bone token burned in" | | 1 | "She'd held it for three" | | 2 | "DS Morris had always called" | | 3 | "The voice belonged to a" | | 4 | "His cheeks puffed out from" | | 5 | "Harlow's jaw tightened." | | 6 | "The token in her pocket" | | 7 | "The officer hesitated, then stepped" | | 8 | "Harlow descended into darkness broken" | | 9 | "Water dripped somewhere in the" | | 10 | "The air hung thick with" | | 11 | "The officer led her past" | | 12 | "Harlow asked, already spotting the" | | 13 | "the officer offered" | | 14 | "Harlow's voice carried no warmth" | | 15 | "She knelt beside Davies, noting" | | 16 | "The same Morris had taught" | | 17 | "Davies didn't look up from" | | 18 | "Harlow scanned the victim" | | 19 | "A single knife wound to" |
| | ratio | 0.922 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "Harlow turned, her eyes adjusting to the faint light filtering from behind her." |
| |
| 78.13% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 32 | | uselessAdditionCount | 3 | | matches | | 0 | "Davies straightened up, her face grim beneath the helmet light" | | 1 | "Harlow knelt again, this time examining the symbols on the victim's bindings" | | 2 | "Harlow stood, the bone token warming in her palm" |
| |
| 46.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 6 | | fancyTags | | 0 | "Harlow observed (observe)" | | 1 | "Davies snapped (snap)" | | 2 | "Harlow noted (note)" | | 3 | "Davies suggested (suggest)" | | 4 | "Harlow warned (warn)" | | 5 | "Davies called out (call out)" |
| | dialogueSentences | 58 | | tagDensity | 0.19 | | leniency | 0.379 | | rawRatio | 0.545 | | effectiveRatio | 0.207 | |