| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 4 | | adverbTags | | 0 | "He swiveled back [back]" | | 1 | "Cameron finally asked [finally]" | | 2 | "The inference dripped like [like]" | | 3 | "Maybe she wanted [Maybe]" |
| | dialogueSentences | 18 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.444 | | effectiveRatio | 0.444 | |
| 95.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1246 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 67.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1246 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "sense of" | | 1 | "jaw clenched" | | 2 | "silence" | | 3 | "pawn" | | 4 | "stark" | | 5 | "raced" | | 6 | "calculated" | | 7 | "measured" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 85 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | | |
| 95.87% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 77 | | ratio | 0.011 | | matches | | 0 | "\"Just wearing muck on muck out there, that's alright. Life's all fine. delivery-truck, 20-year olds a'mσκε. Some big plans with Em inerding catching up and whatnot.\"" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1252 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1031 | | uniqueNames | 17 | | maxNameDensity | 1.07 | | worstName | "Cameron" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Cameron" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Wellies | 1 | | Silas | 2 | | Cameron | 11 | | Said | 1 | | Rory | 10 | | Marcus | 1 | | Silly | 1 | | Spymaster | 1 | | You | 1 | | Crown | 1 | | British | 1 | | Summer | 1 | | Kettlehead | 1 | | Jimmy | 1 | | BandAM | 1 |
| | persons | | 0 | "Silas" | | 1 | "Cameron" | | 2 | "Rory" | | 3 | "Marcus" | | 4 | "Spymaster" | | 5 | "You" | | 6 | "Summer" | | 7 | "Kettlehead" | | 8 | "Jimmy" | | 9 | "BandAM" |
| | places | | | globalScore | 0.967 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.799 | | wordCount | 1252 | | matches | | 0 | "Not just her thoughts, but his" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 91 | | matches | | |
| 50.92% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 18 | | mean | 69.56 | | std | 22.83 | | cv | 0.328 | | sampleLengths | | 0 | 66 | | 1 | 83 | | 2 | 55 | | 3 | 111 | | 4 | 78 | | 5 | 103 | | 6 | 44 | | 7 | 66 | | 8 | 57 | | 9 | 48 | | 10 | 86 | | 11 | 108 | | 12 | 74 | | 13 | 58 | | 14 | 19 | | 15 | 53 | | 16 | 67 | | 17 | 76 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 171 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 91 | | ratio | 0.055 | | matches | | 0 | "Front and center, nursing a tumbler of something amber - was that actually Silas?" | | 1 | "There'd been a time when they were kids that she almost called Cameron by his given name - Marcus." | | 2 | "Her lie felt heavy, and seeing him - this him, now older, quieter, being delivered in hasty, evocative snapshots in her mind that were just flashbacks of the past." | | 3 | "Seeing him and seeing that place - two things for one, two pillars of once-known extremes standing stark comparison to what and who they've become." | | 4 | "Well, here in, here now - the future - though unseen in advance-her talk is in the now, translated through booze, for her and him both. \"And so, to her surprise, Rory found herself sipping and noshing tales of past and present in draught-and-bite fashion, face to face with that old devil Cameron, marveling at the ebb and flow of life that only seems to make any sense through the lens of cold hard ale comps.\"" |
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| 76.82% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1061 | | adjectiveStacks | 2 | | stackExamples | | 0 | "same worn wooden bar" | | 1 | "same old dapper magic" |
| | adverbCount | 56 | | adverbRatio | 0.0527803958529689 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.015080113100848256 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 13.76 | | std | 10.97 | | cv | 0.797 | | sampleLengths | | 0 | 26 | | 1 | 26 | | 2 | 8 | | 3 | 1 | | 4 | 1 | | 5 | 4 | | 6 | 11 | | 7 | 21 | | 8 | 14 | | 9 | 20 | | 10 | 17 | | 11 | 7 | | 12 | 16 | | 13 | 1 | | 14 | 3 | | 15 | 6 | | 16 | 22 | | 17 | 8 | | 18 | 16 | | 19 | 1 | | 20 | 15 | | 21 | 12 | | 22 | 7 | | 23 | 15 | | 24 | 11 | | 25 | 14 | | 26 | 2 | | 27 | 1 | | 28 | 6 | | 29 | 3 | | 30 | 14 | | 31 | 6 | | 32 | 6 | | 33 | 5 | | 34 | 9 | | 35 | 26 | | 36 | 12 | | 37 | 7 | | 38 | 16 | | 39 | 11 | | 40 | 18 | | 41 | 19 | | 42 | 11 | | 43 | 21 | | 44 | 44 | | 45 | 9 | | 46 | 35 | | 47 | 13 | | 48 | 9 | | 49 | 11 |
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| 97.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6043956043956044 | | totalSentences | 91 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 76 | | matches | | 0 | "Then a pause, the hanging" | | 1 | "Maybe she wanted to know" | | 2 | "Maybe she was too curious." | | 3 | "Maybe it was the booze" | | 4 | "Maybe it was the booze" |
| | ratio | 0.066 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 76 | | matches | | 0 | "She didn't know what made" | | 1 | "Her jaw clenched." | | 2 | "She almost turned around right" | | 3 | "Her voice cracked" | | 4 | "He swiveled back into bar" | | 5 | "It'd always been this way," | | 6 | "They were each both scorpions" | | 7 | "He still dyed his short" | | 8 | "She tried to keep her" | | 9 | "You've become just another tool" | | 10 | "Her lie felt heavy, and" | | 11 | "Her mind raced." | | 12 | "She couldn't allow this to" | | 13 | "She couldn't turn back into" | | 14 | "Her mind clouded over as" | | 15 | "She was drunk, but she" |
| | ratio | 0.211 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 76 | | matches | | 0 | "Rory pushed through the heavy" | | 1 | "The ambience hit her like" | | 2 | "She didn't know what made" | | 3 | "The place was dimly lit," | | 4 | "A dozen regulars hunched over" | | 5 | "Front and center, nursing a" | | 6 | "The man was clocking toward" | | 7 | "Rory started toward the bar," | | 8 | "Her jaw clenched." | | 9 | "She almost turned around right" | | 10 | "The night played it forward" | | 11 | "Rory found herself cheated into" | | 12 | "Her voice cracked" | | 13 | "This was more confrontation than" | | 14 | "Cameron said with a chuckle," | | 15 | "He swiveled back into bar" | | 16 | "Rory drank deeply from her" | | 17 | "Cameron finally asked, his hazel" | | 18 | "This bar was definitely the" | | 19 | "Silence stretched between them again." |
| | ratio | 0.632 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 76 | | matches | | 0 | "While I'm ached on the" |
| | ratio | 0.013 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 5 | | matches | | 0 | "Silver-haired Silas, who'd given her a pocket knife on her 18th birthday and chuckled when she fumbled with the steel." | | 1 | "Sticking to surface-level sass, like salt that failed to disguise the dirt." | | 2 | "Her lie felt heavy, and seeing him - this him, now older, quieter, being delivered in hasty, evocative snapshots in her mind that were just flashbacks of the pa…" | | 3 | "Maybe it was the booze making them drink their words in grande, ghosting from past to present, as if a decade of extra skin pinned down their old movement of fa…" | | 4 | "These déjà vu's that littered her life, that followed her around like old ghosts threatening to smother up her space?" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0 | | effectiveRatio | 0 | |