| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 73.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1504 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "really" | | 1 | "suddenly" | | 2 | "slightly" |
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| 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) | |
| 56.78% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1504 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "familiar" | | 1 | "silence" | | 2 | "tension" | | 3 | "navigate" | | 4 | "sense of" | | 5 | "weight" | | 6 | "unspoken" | | 7 | "measured" | | 8 | "echo" | | 9 | "anticipation" | | 10 | "echoing" |
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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 | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 114 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 91.95% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 2 | | adjustedGibberishSentences | 2 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0.017 | | matches | | 0 | "\"You look good, Rory. Must suit you, this... প্রধান ম্যানে জমাট 밴feito life.\"" | | 1 | "Give voice to this half-forgotten shrieking beast, rumbling Jefferson'sాష్ట్రλήány fighting to be listened to." |
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| 0.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 25 | | markdownWords | 335 | | totalWords | 1496 | | ratio | 0.224 | | matches | | 0 | "Come on, brain. Channel your inner Liam Neeson. Crack some witty one-liner to break the ice before she flees to the loos." | | 1 | "Still the same chestnut shade, curly, unconfined behind ears now." | | 2 | "Not the typical 'wild success' story she'd been led to believe, then. Worked that out from Facebook hints mostly. Obvious indicators like blog posts, events, collaborations. Promotions built upon ever-escalating progress." | | 3 | "Is this what it felt like, to be cornered? Caged panic fluttering beneath your skin. Claws scrabbling against walls as you backed incrementally further into a hole of your own making?" | | 4 | "No." | | 5 | "Consequences of time denied." | | 6 | "Ripple effects smooshing hard against walls of what's possible in this moment. Chance for new connection against old railing method of escape." | | 7 | "Heh. Guessing that's telltale enough for starters?" | | 8 | "rhetorical, not really." | | 9 | "she had made it clear she didn't want this to be the conversation today, but how long until it was, she already knew." | | 10 | "Would it always be?" | | 11 | "Muscle memory, flick of tongue. Warming to the topic, the anticipation even, despite herself. Looking for that hook, window, crack in the wall. Anything for a way to salvage this thing." | | 12 | "Nihilistic drollery as emo glitter elsewhere. Clear from the start." | | 13 | "Hurts to breathe back through the years. Remember what it felt like. Give voice to this half-forgotten shrieking beast, rumbling Jefferson'sాష్ట్రλήány fighting to be listened to. To be heard is gracing such an act with dignity." | | 14 | "her words echoing, hiccups and gasped laughter." | | 15 | "definition of a soul being wrenched. The restless hollowing." | | 16 | "of pinpricks and puckering pale. The cistern, in giant petrochemical men." | | 17 | "Heroin was one choice. Working in a lab was another." | | 18 | "Same vs. different. Ramsbottom veneered through sleepless haze, saving when prospects crystalised. Could have fucked me, scum of the 32 £, the loser." | | 19 | "pants, knowing better than to risk overstaying the hospitality." | | 20 | "Leaving everything else aside." | | 21 | "postscript full of cod endings about what futures couldn't sustain." | | 22 | "or ache for." | | 23 | "Moving forward from this moment, how to define success?" | | 24 | "Or failure when it's uncompleted?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1153 | | uniqueNames | 15 | | maxNameDensity | 1.21 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Eva" | | discoveredNames | | Soho | 1 | | Rory | 14 | | Liam | 1 | | Neeson | 1 | | Eva | 14 | | Sunlight | 1 | | Pint | 1 | | British | 1 | | Worked | 1 | | Facebook | 1 | | Mumbai | 1 | | Manchester | 1 | | Shaking | 1 | | Muscle | 1 | | Warming | 1 |
| | persons | | 0 | "Rory" | | 1 | "Liam" | | 2 | "Neeson" | | 3 | "Eva" | | 4 | "Sunlight" | | 5 | "Pint" |
| | places | | 0 | "Soho" | | 1 | "Mumbai" | | 2 | "Manchester" |
| | globalScore | 0.893 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like, to be cornered" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.668 | | wordCount | 1496 | | matches | | 0 | "not to ruin the moment, but what are you even doing A" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 120 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 48.26 | | std | 29.12 | | cv | 0.603 | | sampleLengths | | 0 | 40 | | 1 | 47 | | 2 | 26 | | 3 | 33 | | 4 | 18 | | 5 | 44 | | 6 | 33 | | 7 | 60 | | 8 | 49 | | 9 | 28 | | 10 | 34 | | 11 | 62 | | 12 | 57 | | 13 | 14 | | 14 | 70 | | 15 | 49 | | 16 | 61 | | 17 | 74 | | 18 | 40 | | 19 | 46 | | 20 | 31 | | 21 | 30 | | 22 | 49 | | 23 | 45 | | 24 | 36 | | 25 | 9 | | 26 | 58 | | 27 | 80 | | 28 | 174 | | 29 | 77 | | 30 | 22 |
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| 92.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 114 | | matches | | 0 | "were drawn" | | 1 | "been sown" | | 2 | "been built" | | 3 | "being wrenched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 199 | | matches | | 0 | "was, lurking" | | 1 | "were balancing" |
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| 95.24% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 120 | | ratio | 0.017 | | matches | | 0 | "She guessed that one was Eva's - darkest dregs, surface foam long gone - and the other, her own." | | 1 | "She'd imagined Eva tucked into some bohemian Mumbai flat - splashes of colour, snippets of glittering silks, a whirlwind of vibrant spices and street markets." |
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| 90.72% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 494 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.05060728744939271 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.012145748987854251 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 12.47 | | std | 9.95 | | cv | 0.799 | | sampleLengths | | 0 | 4 | | 1 | 2 | | 2 | 5 | | 3 | 10 | | 4 | 12 | | 5 | 7 | | 6 | 8 | | 7 | 9 | | 8 | 30 | | 9 | 6 | | 10 | 8 | | 11 | 12 | | 12 | 7 | | 13 | 4 | | 14 | 3 | | 15 | 5 | | 16 | 14 | | 17 | 5 | | 18 | 13 | | 19 | 7 | | 20 | 22 | | 21 | 5 | | 22 | 10 | | 23 | 4 | | 24 | 29 | | 25 | 5 | | 26 | 19 | | 27 | 10 | | 28 | 7 | | 29 | 19 | | 30 | 18 | | 31 | 8 | | 32 | 7 | | 33 | 8 | | 34 | 5 | | 35 | 3 | | 36 | 12 | | 37 | 16 | | 38 | 11 | | 39 | 23 | | 40 | 5 | | 41 | 23 | | 42 | 3 | | 43 | 12 | | 44 | 7 | | 45 | 7 | | 46 | 5 | | 47 | 5 | | 48 | 25 | | 49 | 12 |
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| 99.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.675 | | totalSentences | 120 | | uniqueOpeners | 81 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 106 | | matches | | 0 | "Instead, she saw the flat" | | 1 | "Just two lost souls trying" | | 2 | "More casual than the tightrope" | | 3 | "Maybe it was the nostalgia," | | 4 | "Perhaps it was the remnant" |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 106 | | matches | | 0 | "She stood up, pasting on" | | 1 | "she said with forced cheer" | | 2 | "Her voice came out more" | | 3 | "She cleared her throat." | | 4 | "She guessed that one was" | | 5 | "Her long nails glinted with" | | 6 | "She suppressed a shudder and" | | 7 | "She let the comment hang" | | 8 | "Her gaze drifted, dark circles" | | 9 | "She'd imagined Eva tucked into" | | 10 | "she mumbled, unsure" | | 11 | "She could still remember how" | | 12 | "She had meant for this" | | 13 | "Their college friendship had been" | | 14 | "They'd spend hours poring over" | | 15 | "She'd watched from the sidelines," | | 16 | "Their conversations had grown more" | | 17 | "she tried, changing the subject" | | 18 | "She swirled the last drops" | | 19 | "She straightened, giving a tight-lipped" |
| | ratio | 0.189 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 106 | | matches | | 0 | "The familiar introvert shuffle." | | 1 | "Eyes darting towards the exit." | | 2 | "Aurora had seen it hundreds" | | 3 | "An old friend afraid of" | | 4 | "She stood up, pasting on" | | 5 | "she said with forced cheer" | | 6 | "Her voice came out more" | | 7 | "Silence clung between them, thick" | | 8 | "Rory glanced around self-consciously." | | 9 | "Eva broke the silence first." | | 10 | "Rory snorted, finger jabbing in" | | 11 | "Visions of their college dorm," | | 12 | "Sunlight glinted off Eva's hair." | | 13 | "She cleared her throat." | | 14 | "Rory perched on the chair" | | 15 | "Pint glasses sweat-marked the table." | | 16 | "She guessed that one was" | | 17 | "That strong British ale, swirls" | | 18 | "The kind you needed something" | | 19 | "Eva replied, swiping at a" |
| | ratio | 0.604 | |
| 94.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 106 | | matches | | 0 | "Now, here they were face" | | 1 | "To be heard is gracing" |
| | ratio | 0.019 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory perched, thighs twanging with unfamiliar tension" | | 1 | "she mumbled, unsure" |
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| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 4 | | fancyTags | | 0 | "she mumbled (mumble)" | | 1 | "She sighed (sigh)" | | 2 | "Guessing that's telltale enough for starters?* *rhetorical (guess be)" | | 3 | "She continued (continue)" |
| | dialogueSentences | 30 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.667 | | effectiveRatio | 0.267 | |