| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1236 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 43.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1236 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "familiar" | | 3 | "pulse" | | 4 | "silence" | | 5 | "footsteps" | | 6 | "rhythmic" | | 7 | "could feel" | | 8 | "quickened" |
| |
| 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 | 99 | | matches | (empty) | |
| 70.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "try to" | | 3 | "began to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1242 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1230 | | uniqueNames | 12 | | maxNameDensity | 0.41 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "London" | | discoveredNames | | London | 3 | | Richmond | 4 | | Park | 1 | | Tonight | 1 | | January | 1 | | Eva | 2 | | Rory | 5 | | Tylwyth | 1 | | Teg | 1 | | Ellis | 1 | | Wales | 2 | | Three | 3 |
| | persons | | | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "January" | | 4 | "Wales" | | 5 | "Three" |
| | globalScore | 1 | | windowScore | 1 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "quite manage" | | 1 | "Something between those states, a shape that di" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1242 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 40.06 | | std | 30.65 | | cv | 0.765 | | sampleLengths | | 0 | 76 | | 1 | 70 | | 2 | 22 | | 3 | 59 | | 4 | 20 | | 5 | 63 | | 6 | 78 | | 7 | 12 | | 8 | 114 | | 9 | 11 | | 10 | 66 | | 11 | 4 | | 12 | 22 | | 13 | 32 | | 14 | 75 | | 15 | 38 | | 16 | 97 | | 17 | 86 | | 18 | 47 | | 19 | 8 | | 20 | 50 | | 21 | 40 | | 22 | 22 | | 23 | 1 | | 24 | 24 | | 25 | 1 | | 26 | 27 | | 27 | 1 | | 28 | 4 | | 29 | 37 | | 30 | 35 |
| |
| 91.09% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 99 | | matches | | 0 | "been scrubbed" | | 1 | "was carpeted" | | 2 | "were rimed" | | 3 | "been meant" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 187 | | matches | | 0 | "was still forming" | | 1 | "were trying" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 99 | | ratio | 0.051 | | matches | | 0 | "London air was never clean — it carried diesel and damp and the mineral tang of old pipes — but this air carried nothing." | | 1 | "She knew enough about seasons to know that — even in London's mild winters, even in the strange pockets of green that survived between buildings, flowers did not bloom in January." | | 2 | "She was not the sort of person who believed in intuition — her father the barrister had trained that out of her young, teaching her to follow evidence and logic and nothing else — but Eva had always said she had a gift for knowing things before they happened." | | 3 | "Or—" | | 4 | "Her father had taught her that too, when the panic rose — count to three and then act." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 106 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.02830188679245283 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 12.55 | | std | 11.02 | | cv | 0.878 | | sampleLengths | | 0 | 18 | | 1 | 31 | | 2 | 12 | | 3 | 15 | | 4 | 42 | | 5 | 7 | | 6 | 21 | | 7 | 22 | | 8 | 4 | | 9 | 5 | | 10 | 24 | | 11 | 26 | | 12 | 10 | | 13 | 4 | | 14 | 6 | | 15 | 28 | | 16 | 10 | | 17 | 25 | | 18 | 4 | | 19 | 7 | | 20 | 31 | | 21 | 15 | | 22 | 21 | | 23 | 4 | | 24 | 2 | | 25 | 6 | | 26 | 6 | | 27 | 31 | | 28 | 19 | | 29 | 49 | | 30 | 9 | | 31 | 4 | | 32 | 7 | | 33 | 22 | | 34 | 2 | | 35 | 6 | | 36 | 6 | | 37 | 30 | | 38 | 3 | | 39 | 1 | | 40 | 3 | | 41 | 5 | | 42 | 9 | | 43 | 4 | | 44 | 1 | | 45 | 4 | | 46 | 15 | | 47 | 8 | | 48 | 1 | | 49 | 4 |
| |
| 52.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3939393939393939 | | totalSentences | 99 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 86 | | matches | | 0 | "Just for a moment." | | 1 | "Then, beneath it, something else." | | 2 | "Just flowers in moonlight." | | 3 | "Just the clearing, the stones," | | 4 | "Just the wildflowers frozen in" |
| | ratio | 0.058 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 86 | | matches | | 0 | "She had never noticed the" | | 1 | "She had followed it here," | | 2 | "It had been scrubbed of" | | 3 | "She looked down at her" | | 4 | "She took another step." | | 5 | "She knew enough about seasons" | | 6 | "They grew in clusters that" | | 7 | "She had come here for" | | 8 | "She was not the sort" | | 9 | "She stopped walking." | | 10 | "She turned her head." | | 11 | "She should leave." | | 12 | "She should turn around, walk" | | 13 | "She should go home." | | 14 | "She noticed it the way" | | 15 | "She watched crystals form along" | | 16 | "She didn't turn." | | 17 | "Her body locked in place," | | 18 | "She counted to three." | | 19 | "Her father had taught her" |
| | ratio | 0.244 | |
| 82.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 86 | | matches | | 0 | "The standing stones rose black" | | 1 | "Aurora had walked past the" | | 2 | "She had never noticed the" | | 3 | "Tonight the warmth had become" | | 4 | "She had followed it here," | | 5 | "The air tasted different." | | 6 | "That was the first thing." | | 7 | "London air was never clean" | | 8 | "It had been scrubbed of" | | 9 | "The pendant's glow dimmed as" | | 10 | "A flutter, like a heartbeat" | | 11 | "Rory pressed her fingers against" | | 12 | "The skin there was cooler" | | 13 | "She looked down at her" | | 14 | "She took another step." | | 15 | "The wildflowers should not have" | | 16 | "She knew enough about seasons" | | 17 | "They grew in clusters that" | | 18 | "The pendant warmed again." | | 19 | "A second pulse against her" |
| | ratio | 0.756 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 86 | | matches | | | ratio | 0.012 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 6 | | matches | | 0 | "It had been scrubbed of something essential, leaving behind a flat sweetness that coated her tongue and made her want to swallow but couldn't quite manage." | | 1 | "Three weeks since the package arrived at her door, no return address, no note, just a silver chain and a crimson stone that hummed against her skin when she hel…" | | 2 | "Three weeks of half-dreams about standing stones and paths through forests that dissolved when she tried to name them." | | 3 | "She was not the sort of person who believed in intuition — her father the barrister had trained that out of her young, teaching her to follow evidence and logic…" | | 4 | "The old stories surfaced from somewhere, the ones her mother used to tell her about Tylwyth Teg and the circles of standing stones and the people who danced int…" | | 5 | "Jennifer Ellis had been a teacher of literature, but she had taught her daughter about the old country too, the Wales that existed beneath the Wales of mines an…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |