| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 76.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1473 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "sharply" | | 1 | "very" | | 2 | "softly" | | 3 | "slightly" | | 4 | "gently" |
| |
| 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) | |
| 35.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1473 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "traced" | | 1 | "sanctuary" | | 2 | "measured" | | 3 | "pulse" | | 4 | "flicked" | | 5 | "eyebrow" | | 6 | "perfect" | | 7 | "predictable" | | 8 | "profound" | | 9 | "sense of" | | 10 | "shattered" | | 11 | "silence" | | 12 | "navigated" | | 13 | "chaotic" | | 14 | "weight" | | 15 | "trembled" | | 16 | "unspoken" | | 17 | "tension" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 132 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 132 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1473 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 11 | | matches | | 0 | "Rory, he said." | | 1 | "Neat, Liam said, not looking at the older man." | | 2 | "I am in town for a merger, he said finally." | | 3 | "You look tired, Liam, she said." | | 4 | "I dropped out, she said simply." | | 5 | "I realized I was studying to become something I despised, she said, her voice steady." | | 6 | "Not for a single second, she said." | | 7 | "I have to meet the partners at eight, he said, his voice thick." | | 8 | "I am already in the real world, Liam, she said gently." | | 9 | "Someone I used to know, Rory said." | | 10 | "The past has a funny way of tracking you down, he said, his voice rumbling with quiet authority." |
| |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 84 | | wordCount | 1473 | | uniqueNames | 31 | | maxNameDensity | 1.15 | | worstName | "Liam" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Ravens | 2 | | Nest | 2 | | Carter | 2 | | Tuesday | 1 | | London | 6 | | Golden | 1 | | Empress | 1 | | Blackwood | 1 | | Rory | 15 | | Soho | 2 | | Rorys | 1 | | Liam | 17 | | Davies | 1 | | Pre-Law | 1 | | Cardiff | 3 | | University | 1 | | Welsh | 2 | | Chance | 1 | | Kensington | 1 | | Rolex | 1 | | Irish | 1 | | Sarah | 1 | | City | 1 | | Evan | 1 | | Evas | 1 | | Senedd | 1 | | Blitz | 1 | | Silas | 9 | | Liams | 1 | | Si | 1 | | You | 4 |
| | persons | | 0 | "Nest" | | 1 | "Carter" | | 2 | "Blackwood" | | 3 | "Rory" | | 4 | "Liam" | | 5 | "Davies" | | 6 | "Chance" | | 7 | "Sarah" | | 8 | "Evan" | | 9 | "Silas" | | 10 | "You" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Rorys" | | 3 | "Cardiff" | | 4 | "Kensington" | | 5 | "City" | | 6 | "Senedd" |
| | globalScore | 0.923 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 1 | | matches | | 0 | "as if waiting for her to change her mind, to validate his choices by joining him" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1473 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 38.76 | | std | 29.38 | | cv | 0.758 | | sampleLengths | | 0 | 109 | | 1 | 130 | | 2 | 53 | | 3 | 50 | | 4 | 41 | | 5 | 42 | | 6 | 17 | | 7 | 21 | | 8 | 21 | | 9 | 27 | | 10 | 10 | | 11 | 46 | | 12 | 38 | | 13 | 23 | | 14 | 38 | | 15 | 60 | | 16 | 6 | | 17 | 70 | | 18 | 6 | | 19 | 7 | | 20 | 70 | | 21 | 24 | | 22 | 9 | | 23 | 4 | | 24 | 85 | | 25 | 26 | | 26 | 64 | | 27 | 9 | | 28 | 83 | | 29 | 69 | | 30 | 15 | | 31 | 15 | | 32 | 46 | | 33 | 36 | | 34 | 12 | | 35 | 24 | | 36 | 40 | | 37 | 27 |
| |
| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 132 | | matches | | 0 | "was armored" | | 1 | "was buried" | | 2 | "was gone" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 249 | | matches | | 0 | "was studying" | | 1 | "was quietly wiping" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 132 | | ratio | 0.008 | | matches | | 0 | "He regretted not leaving; she regretted the years she had wasted being afraid before she finally did." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1487 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 47 | | adverbRatio | 0.03160726294552791 | | lyAdverbCount | 25 | | lyAdverbRatio | 0.016812373907195696 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 11.16 | | std | 8.68 | | cv | 0.778 | | sampleLengths | | 0 | 24 | | 1 | 20 | | 2 | 6 | | 3 | 32 | | 4 | 27 | | 5 | 18 | | 6 | 31 | | 7 | 15 | | 8 | 16 | | 9 | 13 | | 10 | 37 | | 11 | 21 | | 12 | 6 | | 13 | 17 | | 14 | 9 | | 15 | 3 | | 16 | 2 | | 17 | 29 | | 18 | 16 | | 19 | 4 | | 20 | 13 | | 21 | 17 | | 22 | 7 | | 23 | 13 | | 24 | 2 | | 25 | 16 | | 26 | 11 | | 27 | 3 | | 28 | 14 | | 29 | 1 | | 30 | 15 | | 31 | 5 | | 32 | 7 | | 33 | 4 | | 34 | 4 | | 35 | 6 | | 36 | 11 | | 37 | 4 | | 38 | 12 | | 39 | 1 | | 40 | 9 | | 41 | 9 | | 42 | 5 | | 43 | 32 | | 44 | 23 | | 45 | 10 | | 46 | 3 | | 47 | 2 | | 48 | 4 | | 49 | 3 |
| |
| 50.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3560606060606061 | | totalSentences | 132 | | uniqueOpeners | 47 | |
| 82.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 121 | | matches | | 0 | "Instead, a man in a" | | 1 | "Then, he walked over, his" | | 2 | "Right before you left." |
| | ratio | 0.025 | |
| 34.88% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 121 | | matches | | 0 | "It was a quiet Tuesday" | | 1 | "She pushed a wet strand" | | 2 | "His grey-streaked auburn hair and" | | 3 | "He did not look up," | | 4 | "He carried himself with the" | | 5 | "He turned, and the breath" | | 6 | "It was Liam." | | 7 | "They had survived three grueling" | | 8 | "She had not seen him" | | 9 | "He looked entirely different." | | 10 | "He looked older, harder, and" | | 11 | "His eyes, a dull, washed-out" | | 12 | "His voice was deeper, scraped" | | 13 | "She kept her tone level," | | 14 | "It has been four years." | | 15 | "He slid onto the stool" | | 16 | "You just vanished, Carter." | | 17 | "She gave a microscopic nod." | | 18 | "I am in town for" | | 19 | "He offered a tight, mirthless" |
| | ratio | 0.463 | |
| 55.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 121 | | matches | | 0 | "The green neon sign of" | | 1 | "Aurora Carter traced the rim" | | 2 | "It was a quiet Tuesday" | | 3 | "She pushed a wet strand" | | 4 | "Silas Blackwood stood at the" | | 5 | "His grey-streaked auburn hair and" | | 6 | "He did not look up," | | 7 | "The silver signet ring on" | | 8 | "He carried himself with the" | | 9 | "The heavy oak door groaned" | | 10 | "Rory glanced up, expecting a" | | 11 | "He turned, and the breath" | | 12 | "It was Liam." | | 13 | "They had survived three grueling" | | 14 | "She had not seen him" | | 15 | "He looked entirely different." | | 16 | "The Liam she remembered wore" | | 17 | "This Liam was armored in" | | 18 | "He looked older, harder, and" | | 19 | "His eyes, a dull, washed-out" |
| | ratio | 0.81 | |
| 41.32% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 121 | | matches | | | ratio | 0.008 | |
| 64.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 7 | | matches | | 0 | "At six foot one, he possessed a physical presence that filled the room, yet he moved with a deliberate, measured grace that barely concealed the slight limp in …" | | 1 | "He carried himself with the quiet authority of a man who had spent a lifetime observing from the shadows, a retired intelligence operative who now used the bar …" | | 2 | "Silas poured the amber liquid, the glass settling onto the coaster with a soft thud, before he retreated to the shadows near the heavy bookshelf that hid the ba…" | | 3 | "The Liam who used to protest outside the Senedd, who wrote scathing op-eds for the student paper, was buried beneath layers of corporate armor." | | 4 | "The Rory who used to shrink into the back of lecture halls, terrified of making a sound, was gone, replaced by a woman who navigated the chaotic, unforgiving st…" | | 5 | "She looked at the old maps charting forgotten trade routes, the photos of a city that had survived the Blitz, and finally at Silas, who was quietly wiping down …" | | 6 | "The past has a funny way of tracking you down, he said, his voice rumbling with quiet authority." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |