| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 4 | | adverbTags | | 0 | "He limped back [back]" | | 1 | "She leaned back [back]" | | 2 | "he said quietly [quietly]" | | 3 | "she said gently [gently]" |
| | dialogueSentences | 88 | | tagDensity | 0.318 | | leniency | 0.636 | | rawRatio | 0.143 | | effectiveRatio | 0.091 | |
| 87.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2049 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "carefully" | | 2 | "slowly" | | 3 | "gently" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 68.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2049 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "warmth" | | 1 | "weight" | | 2 | "silence" | | 3 | "tension" | | 4 | "could feel" | | 5 | "flickered" | | 6 | "familiar" | | 7 | "resolving" |
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| 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 | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 122 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 182 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 13 | | totalWords | 2083 | | ratio | 0.006 | | matches | | 0 | "Rory, just tell me you're safe" | | 1 | "Graham Greene's The End of the Affair" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1416 | | uniqueNames | 13 | | maxNameDensity | 0.85 | | worstName | "Tomas" | | maxWindowNameDensity | 2 | | worstWindowName | "Tomas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 5 | | Cardiff | 2 | | Bay | 1 | | Herrera | 1 | | Rory | 9 | | Tomas | 12 | | Bermondsey | 1 | | Evan | 1 | | Breathed | 1 | | Greene | 1 | | End | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Herrera" | | 4 | "Rory" | | 5 | "Tomas" | | 6 | "Evan" | | 7 | "Greene" |
| | places | | 0 | "Cardiff" | | 1 | "Bay" | | 2 | "Bermondsey" |
| | globalScore | 1 | | windowScore | 1 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared beside them with a cloth over his shoulder and a pint glass in his hand" | | 1 | "not quite warmth, not quite pain" | | 2 | "not quite pain" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2083 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 182 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 86 | | mean | 24.22 | | std | 26.92 | | cv | 1.112 | | sampleLengths | | 0 | 106 | | 1 | 53 | | 2 | 4 | | 3 | 149 | | 4 | 91 | | 5 | 50 | | 6 | 2 | | 7 | 11 | | 8 | 36 | | 9 | 1 | | 10 | 2 | | 11 | 28 | | 12 | 7 | | 13 | 24 | | 14 | 51 | | 15 | 28 | | 16 | 11 | | 17 | 82 | | 18 | 4 | | 19 | 6 | | 20 | 34 | | 21 | 8 | | 22 | 39 | | 23 | 24 | | 24 | 7 | | 25 | 6 | | 26 | 18 | | 27 | 42 | | 28 | 2 | | 29 | 2 | | 30 | 20 | | 31 | 27 | | 32 | 5 | | 33 | 4 | | 34 | 39 | | 35 | 3 | | 36 | 12 | | 37 | 98 | | 38 | 9 | | 39 | 16 | | 40 | 5 | | 41 | 30 | | 42 | 37 | | 43 | 3 | | 44 | 28 | | 45 | 4 | | 46 | 10 | | 47 | 13 | | 48 | 68 | | 49 | 8 |
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| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 122 | | matches | | 0 | "were fixed" | | 1 | "being asked " |
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| 57.55% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 234 | | matches | | 0 | "was sitting" | | 1 | "was reading" | | 2 | "wasn't really reading" | | 3 | "wasn't reading" | | 4 | "was trying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 19 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 182 | | ratio | 0.071 | | matches | | 0 | "Silas had music on — something low and jazzy bleeding from the speakers he'd wired behind the bar himself, though the right one had been crackling for weeks." | | 1 | "She set the delivery bag on its hook behind the bar, nodded at Silas — who raised a glass in acknowledgment without breaking his conversation with a regular — and made for the stairs." | | 2 | "His hair was longer than she remembered — shaggy, curling behind his ears, gone prematurely grey at the temples in a way that made him look older than twenty-six." | | 3 | "He wore a navy peacoat over a wrinkled dress shirt, no tie, the collar loosened, and there was a smudge of something on his left cuff — ink, maybe, or grease — that he either hadn't noticed or didn't care about." | | 4 | "Who had sent her three texts after she left Cardiff — the last one reading simply: *Rory, just tell me you're safe* — and to whom she had never replied." | | 5 | "His eyes — brown, warm, the same eyes — went wide, then narrow, then something complicated that passed across his face like weather." | | 6 | "He set it down in front of Rory without being asked — she always had the same thing, a half-pint of whatever dark ale he had on — and gave Tomas a look that was brief and assessing." | | 7 | "It was good — something malty Silas had got in from a brewery in Bermondsey." | | 8 | "Not everything — not the specifics, not the gradations of control that started with comments about her clothes and ended with a grip on her arm that left a bruise shaped like a thumbprint — but enough." | | 9 | "The paperback — she could see the spine now, a battered copy of *Graham Greene's The End of the Affair*, which had been his favorite book in university, which he'd pressed on her once and which she'd read in a single night and never returned." | | 10 | "Something moved through her — not quite warmth, not quite pain." | | 11 | "He used to do this in the library — handle books like they were living things, turning them over, reading the back copy as though it might contain something the front hadn't." | | 12 | "The bar hummed around them — low conversation, the clink of glasses, the trumpet on the speakers resolving into something major." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1401 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 51 | | adverbRatio | 0.03640256959314775 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.009279086366880799 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 182 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 182 | | mean | 11.45 | | std | 11.24 | | cv | 0.982 | | sampleLengths | | 0 | 8 | | 1 | 39 | | 2 | 4 | | 3 | 28 | | 4 | 27 | | 5 | 34 | | 6 | 2 | | 7 | 1 | | 8 | 7 | | 9 | 9 | | 10 | 4 | | 11 | 27 | | 12 | 28 | | 13 | 29 | | 14 | 3 | | 15 | 4 | | 16 | 17 | | 17 | 41 | | 18 | 2 | | 19 | 1 | | 20 | 26 | | 21 | 32 | | 22 | 30 | | 23 | 6 | | 24 | 4 | | 25 | 40 | | 26 | 2 | | 27 | 11 | | 28 | 3 | | 29 | 23 | | 30 | 10 | | 31 | 1 | | 32 | 2 | | 33 | 15 | | 34 | 5 | | 35 | 6 | | 36 | 2 | | 37 | 7 | | 38 | 19 | | 39 | 5 | | 40 | 20 | | 41 | 31 | | 42 | 9 | | 43 | 13 | | 44 | 6 | | 45 | 8 | | 46 | 3 | | 47 | 17 | | 48 | 38 | | 49 | 27 |
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| 45.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.34065934065934067 | | totalSentences | 182 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 100 | | matches | | 0 | "Maybe toast if she could" | | 1 | "Then she saw him." | | 2 | "Just the name." | | 3 | "Really looked at her, for" | | 4 | "Then the moment passed, and" |
| | ratio | 0.05 | |
| 32.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 100 | | matches | | 0 | "She set the delivery bag" | | 1 | "He was sitting alone at" | | 2 | "He had a pint half-finished" | | 3 | "His hair was longer than" | | 4 | "He'd lost weight." | | 5 | "He wore a navy peacoat" | | 6 | "She could still take the" | | 7 | "He hadn't seen her." | | 8 | "His eyes were fixed on" | | 9 | "She pulled out the chair" | | 10 | "His eyes — brown, warm," | | 11 | "He closed the paperback with" | | 12 | "He opened his mouth, closed" | | 13 | "She pulled the delivery bag" | | 14 | "He repeated the word as" | | 15 | "Her left wrist rested just" | | 16 | "He set it down in" | | 17 | "He limped back toward the" | | 18 | "It was good — something" | | 19 | "He said it flatly, the" |
| | ratio | 0.47 | |
| 40.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 100 | | matches | | 0 | "The rain hadn't let up" | | 1 | "Rory came through the door" | | 2 | "Monday nights were quiet." | | 3 | "Silas had music on —" | | 4 | "The green neon sign outside" | | 5 | "She set the delivery bag" | | 6 | "The evening had the texture" | | 7 | "He was sitting alone at" | | 8 | "He had a pint half-finished" | | 9 | "His hair was longer than" | | 10 | "He'd lost weight." | | 11 | "The kind that hollows the" | | 12 | "He wore a navy peacoat" | | 13 | "She could still take the" | | 14 | "He hadn't seen her." | | 15 | "His eyes were fixed on" | | 16 | "She pulled out the chair" | | 17 | "Tomas looked up." | | 18 | "His eyes — brown, warm," | | 19 | "He closed the paperback with" |
| | ratio | 0.84 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 9 | | matches | | 0 | "She set the delivery bag on its hook behind the bar, nodded at Silas — who raised a glass in acknowledgment without breaking his conversation with a regular — a…" | | 1 | "He had a pint half-finished in front of him and was reading a paperback with the kind of focused absorption that meant he wasn't really reading at all." | | 2 | "His hair was longer than she remembered — shaggy, curling behind his ears, gone prematurely grey at the temples in a way that made him look older than twenty-si…" | | 3 | "He set it down in front of Rory without being asked — she always had the same thing, a half-pint of whatever dark ale he had on — and gave Tomas a look that was…" | | 4 | "The kind of look that catalogued everything: the weight loss, the tension in the jaw, the way his fingers were white around the edge of the table." | | 5 | "Not everything — not the specifics, not the gradations of control that started with comments about her clothes and ended with a grip on her arm that left a brui…" | | 6 | "The paperback — she could see the spine now, a battered copy of *Graham Greene's The End of the Affair*, which had been his favorite book in university, which h…" | | 7 | "A real laugh, startled out of him, and for a moment the years collapsed and he was twenty-two again on the library steps, sauce on his chin, gesturing wildly ab…" | | 8 | "Two people in a dim room with old maps on the walls, nursing drinks they hadn't finished, trying to build a bridge across three years of silence with words that…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 88 | | tagDensity | 0.148 | | leniency | 0.295 | | rawRatio | 0.077 | | effectiveRatio | 0.023 | |