| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 4 | | adverbTags | | 0 | "Eva asked once [once]" | | 1 | "Eva admitted softly [softly]" | | 2 | "Rory finally dared to ask [finally]" | | 3 | "slight frown she added softly [softly]" |
| | dialogueSentences | 32 | | tagDensity | 0.688 | | leniency | 1 | | rawRatio | 0.182 | | effectiveRatio | 0.182 | |
| 61.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1171 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "slightly" | | 1 | "knowingly" | | 2 | "gently" | | 3 | "softly" | | 4 | "really" | | 5 | "carefully" | | 6 | "slowly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1171 | | totalAiIsms | 34 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | |
| | highlights | | 0 | "flickered" | | 1 | "familiar" | | 2 | "warmth" | | 3 | "flicked" | | 4 | "flicker" | | 5 | "eyebrow" | | 6 | "electric" | | 7 | "intricate" | | 8 | "resonated" | | 9 | "tension" | | 10 | "weight" | | 11 | "unspoken" | | 12 | "rhythmic" | | 13 | "anticipation" | | 14 | "apprehension" | | 15 | "amidst" | | 16 | "silence" | | 17 | "comfortable" | | 18 | "echoes" | | 19 | "palpable" | | 20 | "solace" | | 21 | "glinting" | | 22 | "tapestry" | | 23 | "whisper" | | 24 | "dancing" | | 25 | "newfound" | | 26 | "testament" | | 27 | "chill" |
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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 | 58 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1160 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 974 | | uniqueNames | 13 | | maxNameDensity | 2.16 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 3 | | Nest | 3 | | Soho | 1 | | Aurora | 1 | | Carter | 1 | | Blackwood | 1 | | Silas | 6 | | Rory | 21 | | Eva | 20 | | Thomas | 1 | | Welsh | 1 | | Images | 1 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "Carter" | | 4 | "Blackwood" | | 5 | "Silas" | | 6 | "Rory" | | 7 | "Eva" | | 8 | "Thomas" | | 9 | "Images" | | 10 | "Evan" |
| | places | | | globalScore | 0.422 | | windowScore | 0 | |
| 59.09% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a shared secret" | | 1 | "as if recalling moments cherished and battles fought with purpose" |
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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 | 1160 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 29.74 | | std | 18.36 | | cv | 0.617 | | sampleLengths | | 0 | 79 | | 1 | 81 | | 2 | 36 | | 3 | 26 | | 4 | 13 | | 5 | 68 | | 6 | 51 | | 7 | 16 | | 8 | 46 | | 9 | 43 | | 10 | 23 | | 11 | 20 | | 12 | 20 | | 13 | 17 | | 14 | 35 | | 15 | 11 | | 16 | 18 | | 17 | 48 | | 18 | 9 | | 19 | 17 | | 20 | 10 | | 21 | 49 | | 22 | 26 | | 23 | 27 | | 24 | 31 | | 25 | 6 | | 26 | 11 | | 27 | 13 | | 28 | 15 | | 29 | 14 | | 30 | 41 | | 31 | 8 | | 32 | 38 | | 33 | 36 | | 34 | 19 | | 35 | 35 | | 36 | 32 | | 37 | 35 | | 38 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 68 | | ratio | 0.118 | | matches | | 0 | "She glanced around the dimly lit interior; the familiar scent of aged wood and something sharper—perhaps gin—lingered in the air." | | 1 | "It was a face she had not seen in years—a face she hadn’t quite known she missed until now, with high cheekbones and eyes like shards of ice—changed, yes, but undeniably familiar." | | 2 | "“Rory...” Eva’s voice broke the air's tension—a delicate thread tying the past to this unexpected present." | | 3 | "Eva took the seat, resting her own hands, now ringless—a change Rory noticed with a brief flick of her gaze—upon the worn surface of the bar." | | 4 | "For a moment, silence enveloped them—comfortable yet filled with the echoes of a decade-long story, retold in the quiet spaces between breaths." | | 5 | "Images flickered through her mind’s eye—late nights delivering meals to faceless clients, the quiet loneliness of her flat above Silas’s bar, the palpable absence of one Evan, the man who now belonged to the shadows of her past." | | 6 | "The bar around them continued its quiet hum of life—the clinking glasses, murmured conversations; a tapestry of simple existence." | | 7 | "In the soft light of The Raven’s Nest, sheltered from the night’s chill, Rory and Eva found a fragile but genuine haven—a place where time folded upon itself, knitting together the torn threads of their shared history." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 988 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.039473684210526314 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.01720647773279352 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 17.06 | | std | 8.37 | | cv | 0.491 | | sampleLengths | | 0 | 25 | | 1 | 15 | | 2 | 20 | | 3 | 19 | | 4 | 24 | | 5 | 27 | | 6 | 30 | | 7 | 28 | | 8 | 8 | | 9 | 11 | | 10 | 15 | | 11 | 13 | | 12 | 16 | | 13 | 20 | | 14 | 32 | | 15 | 31 | | 16 | 20 | | 17 | 16 | | 18 | 21 | | 19 | 25 | | 20 | 7 | | 21 | 19 | | 22 | 17 | | 23 | 23 | | 24 | 20 | | 25 | 20 | | 26 | 14 | | 27 | 3 | | 28 | 9 | | 29 | 26 | | 30 | 11 | | 31 | 18 | | 32 | 22 | | 33 | 26 | | 34 | 9 | | 35 | 10 | | 36 | 7 | | 37 | 10 | | 38 | 11 | | 39 | 38 | | 40 | 15 | | 41 | 11 | | 42 | 27 | | 43 | 23 | | 44 | 8 | | 45 | 6 | | 46 | 4 | | 47 | 7 | | 48 | 13 | | 49 | 15 |
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| 98.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.6617647058823529 | | totalSentences | 68 | | uniqueOpeners | 45 | |
| 57.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 58 | | matches | | 0 | "Then, yielding to Rory’s slight" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 58 | | matches | | 0 | "She glanced around the dimly" | | 1 | "His hazel eyes flicked knowingly" | | 2 | "It was a face she" | | 3 | "Her presence resonated with an" | | 4 | "She wanted to say more," | | 5 | "she replied, her tone carefully" | | 6 | "They both fell silent once" | | 7 | "He busied himself, a silent" | | 8 | "she said, her gaze steady," | | 9 | "They raised their glasses in" |
| | ratio | 0.172 | |
| 11.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 58 | | matches | | 0 | "The neon green glow of" | | 1 | "The door creaked slightly as" | | 2 | "She glanced around the dimly" | | 3 | "Maps and photographs clung to" | | 4 | "Silas Blackwood greeted her from" | | 5 | "His hazel eyes flicked knowingly" | | 6 | "Rory replied, her own smile" | | 7 | "Silas chuckled, sliding a pint" | | 8 | "Rory lifted an eyebrow, curiosity" | | 9 | "It was a face she" | | 10 | "There, framed by the sallow" | | 11 | "Her presence resonated with an" | | 12 | "Eva’s voice broke the air's" | | 13 | "Rory managed, feeling the warmth" | | 14 | "She wanted to say more," | | 15 | "Eva approached, her footfalls rhythmic" | | 16 | "The silent language of old" | | 17 | "Rory watched the other woman’s" | | 18 | "Silas, perceptive as ever, quietly" | | 19 | "Eva asked once close enough," |
| | ratio | 0.897 | |
| 86.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 58 | | matches | | 0 | "Before Silas could answer, the" |
| | ratio | 0.017 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "Her presence resonated with an authority that hadn’t been there before, a confidence carved by unseen battles and silent victories." | | 1 | "She wanted to say more, to bridge the years with words that eluded her, words heavy with the weight of unspoken regret and uncelebrated triumphs." | | 2 | "Eva nodded, her expression softening into a smile that felt like a shared secret." |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 4 | | matches | | 0 | "Rory lifted, curiosity piquing in her bright blue eyes" | | 1 | "Eva smiled, wistful" | | 2 | "Rory finally dared to ask, curiosity prodding where she hadn’t dared before" | | 3 | "she replied, her tone carefully neutral" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 7 | | fancyTags | | 0 | "Silas chuckled (chuckle)" | | 1 | "Rory responded (respond)" | | 2 | "Eva inquired (inquire)" | | 3 | "Rory commented (comment)" | | 4 | "Eva admitted softly (admit)" | | 5 | "Rory finally dared to ask (dare ask)" | | 6 | "slight frown she added softly (add)" |
| | dialogueSentences | 32 | | tagDensity | 0.469 | | leniency | 0.938 | | rawRatio | 0.467 | | effectiveRatio | 0.438 | |