| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva gestured vaguely [vaguely]" | | 1 | "Rory said finally [finally]" |
| | dialogueSentences | 32 | | tagDensity | 0.469 | | leniency | 0.938 | | rawRatio | 0.133 | | effectiveRatio | 0.125 | |
| 91.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1170 | | totalAiIsmAdverbs | 2 | | 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) | |
| 78.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1170 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "warmth" | | 1 | "dance" | | 2 | "trembled" | | 3 | "flickered" | | 4 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 99.75% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 33 | | matches | | |
| 56.28% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 33 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 50 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 89 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 28 | | totalWords | 1162 | | ratio | 0.024 | | matches | | 0 | "call me when you land, call me when you're safe, call me every day for a week and then whenever you need to after that" | | 1 | "friend or trouble?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 817 | | uniqueNames | 10 | | maxNameDensity | 1.47 | | worstName | "Eva" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Camden | 1 | | Raven | 1 | | Nest | 1 | | Tuesday | 1 | | Yu-Fei | 1 | | Silas | 2 | | Eva | 12 | | Six | 1 | | London | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Eva" |
| | places | | | globalScore | 0.766 | | windowScore | 0.667 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 29 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1162 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 50 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 41.5 | | std | 31.6 | | cv | 0.761 | | sampleLengths | | 0 | 96 | | 1 | 62 | | 2 | 17 | | 3 | 70 | | 4 | 1 | | 5 | 42 | | 6 | 4 | | 7 | 43 | | 8 | 60 | | 9 | 9 | | 10 | 4 | | 11 | 100 | | 12 | 33 | | 13 | 13 | | 14 | 61 | | 15 | 25 | | 16 | 5 | | 17 | 63 | | 18 | 3 | | 19 | 43 | | 20 | 78 | | 21 | 46 | | 22 | 52 | | 23 | 20 | | 24 | 119 | | 25 | 44 | | 26 | 8 | | 27 | 41 |
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| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 33 | | matches | | |
| 48.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 132 | | matches | | 0 | "was bracing" | | 1 | "were already moving" | | 2 | "was polishing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 50 | | ratio | 0.18 | | matches | | 0 | "The green neon buzzed faintly above the entrance behind her, throwing its sick little glow onto the wet pavement, and she was grateful, as she always was, for the warmth that met her inside—the smell of old wood and whisky and the low murmur of a Tuesday night crowd that hadn't yet decided whether to be a crowd at all." | | 1 | "Something about the posture caught her first—the particular way the woman held her shoulders, squared like she was bracing against a wind that wasn't there." | | 2 | "The woman turned, and for a moment there was nothing there at all—just the flat, polite blankness of a stranger interrupted." | | 3 | "Six years since Eva had put her on that first train to London with a duffel bag and forty quid and a promise—*call me when you land, call me when you're safe, call me every day for a week and then whenever you need to after that*—a promise that had lasted, faithfully, for maybe four months before the calls thinned to texts and the texts thinned to nothing at all, the way these things did, the way nobody ever meant them to but somehow always allowed to happen anyway." | | 4 | "\"I look like a woman who's cycled through Camden in the rain.\" Rory laughed, but her eyes were already moving, cataloguing—the yellowish cast to Eva's skin, the way her cardigan hung from shoulders that had once filled it, the bruise-dark hollows beneath her eyes that no amount of concealer had managed to erase." | | 5 | "\"No. I suppose you were always good at listening.\" Something flickered across her face—not quite a smile." | | 6 | "She caught his eye for half a second, and he gave the barest incline of his head, a silent question—*friend or trouble?*—and she answered with a small shake, though even as she did it she wasn't entirely sure which." | | 7 | "But then Eva laughed—a short, brittle sound entirely unlike the laugh Rory remembered, the one that used to fill whole rooms—and said, \"There was a diagnosis. Two years ago. I don't want to talk about the details, if that's all right. I just wanted you to know it wasn't only life. It was life doing something specific and cruel, and I let it take you along with everything else it took.\"" | | 8 | "The bar hummed on around them, oblivious—glasses clinking, someone laughing too loudly near the jukebox, the green neon sign outside bleeding faintly through the window glass." |
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| 84.08% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 831 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.05776173285198556 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.02045728038507822 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 50 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 50 | | mean | 23.24 | | std | 19.23 | | cv | 0.827 | | sampleLengths | | 0 | 36 | | 1 | 60 | | 2 | 31 | | 3 | 31 | | 4 | 17 | | 5 | 25 | | 6 | 45 | | 7 | 1 | | 8 | 21 | | 9 | 21 | | 10 | 4 | | 11 | 30 | | 12 | 13 | | 13 | 53 | | 14 | 7 | | 15 | 9 | | 16 | 4 | | 17 | 11 | | 18 | 89 | | 19 | 9 | | 20 | 6 | | 21 | 18 | | 22 | 13 | | 23 | 53 | | 24 | 8 | | 25 | 13 | | 26 | 12 | | 27 | 5 | | 28 | 17 | | 29 | 46 | | 30 | 3 | | 31 | 23 | | 32 | 20 | | 33 | 5 | | 34 | 34 | | 35 | 39 | | 36 | 6 | | 37 | 40 | | 38 | 27 | | 39 | 25 | | 40 | 7 | | 41 | 13 | | 42 | 48 | | 43 | 71 | | 44 | 26 | | 45 | 18 | | 46 | 5 | | 47 | 3 | | 48 | 36 | | 49 | 5 |
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| 54.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4 | | totalSentences | 50 | | uniqueOpeners | 20 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 32 | | matches | | 0 | "Then the profile, half-lit by" | | 1 | "Then something shifted behind her" |
| | ratio | 0.063 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 32 | | matches | | 0 | "She'd worked a double shift" | | 1 | "She didn't notice the woman" | | 2 | "She found herself smiling, a" | | 3 | "She caught his eye for" |
| | ratio | 0.125 | |
| 69.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 25 | | totalSentences | 32 | | matches | | 0 | "The rain had followed Rory" | | 1 | "The green neon buzzed faintly" | | 2 | "She'd worked a double shift" | | 3 | "She didn't notice the woman" | | 4 | "Something about the posture caught" | | 5 | "The woman turned, and for" | | 6 | "She found herself smiling, a" | | 7 | "Eva gestured vaguely at the" | | 8 | "Rory had counted, though she" | | 9 | "Eva's hand, Rory noticed, trembled" | | 10 | "Something with a rhythm to" | | 11 | "Eva said, and there was" | | 12 | "Rory laughed, but her eyes" | | 13 | "Eva turned her glass a" | | 14 | "Something flickered across her face—not" | | 15 | "Eva looked at her then," | | 16 | "Rory didn't answer right away." | | 17 | "She caught his eye for" | | 18 | "Rory said finally" | | 19 | "Eva stopped, pressed two fingers" |
| | ratio | 0.781 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 32 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 3 | | matches | | 0 | "The green neon buzzed faintly above the entrance behind her, throwing its sick little glow onto the wet pavement, and she was grateful, as she always was, for t…" | | 1 | "Something about the posture caught her first—the particular way the woman held her shoulders, squared like she was bracing against a wind that wasn't there." | | 2 | "Behind the bar, Silas was polishing a glass with the unhurried attention of a man who'd learned long ago that the best information came to those who appeared no…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "Rory laughed, but her eyes were already moving, cataloguing—the yellowish cast to Eva's skin, the way her cardigan hung from shoulders that had once filled it, the bruise-dark hollows beneath her eyes that no amount of concealer had managed to erase" | | 1 | "Rory said, not unkindly" | | 2 | "Eva said, and her eyes were wet, and behind them was all the time that had passed, unspooled and irretrievable, six years of silence pressing down between them like a held breath finally, painfully released" |
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| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Rory laughed (laugh)" | | 1 | "Eva laughed (laugh)" |
| | dialogueSentences | 32 | | tagDensity | 0.219 | | leniency | 0.438 | | rawRatio | 0.286 | | effectiveRatio | 0.125 | |