| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde said pleasantly [pleasantly]" |
| | dialogueSentences | 25 | | tagDensity | 0.36 | | leniency | 0.72 | | rawRatio | 0.111 | | effectiveRatio | 0.08 | |
| 80.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1300 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "utterly" | | 4 | "really" |
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| 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) | |
| 80.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1300 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "whisper" | | 1 | "shimmered" | | 2 | "pulse" | | 3 | "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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 75 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1313 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1162 | | uniqueNames | 9 | | maxNameDensity | 0.95 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 11 | | Richmond | 1 | | Park | 1 | | December | 2 | | Nyx | 5 | | Eva | 6 | | Heartstone | 2 | | Orion | 2 | | Cardiff | 1 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Eva" | | 3 | "Heartstone" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "December" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like that: a whisper caught in a d" | | 1 | "quite hold in her eye" |
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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 | 1313 | | matches | (empty) | |
| 99.33% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 99 | | matches | | 0 | "like that: a" | | 1 | "tied that morning" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 34.55 | | std | 35.52 | | cv | 1.028 | | sampleLengths | | 0 | 10 | | 1 | 72 | | 2 | 3 | | 3 | 48 | | 4 | 2 | | 5 | 11 | | 6 | 120 | | 7 | 19 | | 8 | 64 | | 9 | 10 | | 10 | 3 | | 11 | 3 | | 12 | 39 | | 13 | 38 | | 14 | 7 | | 15 | 2 | | 16 | 4 | | 17 | 24 | | 18 | 74 | | 19 | 12 | | 20 | 106 | | 21 | 86 | | 22 | 9 | | 23 | 8 | | 24 | 96 | | 25 | 90 | | 26 | 9 | | 27 | 36 | | 28 | 39 | | 29 | 8 | | 30 | 5 | | 31 | 16 | | 32 | 112 | | 33 | 5 | | 34 | 28 | | 35 | 4 | | 36 | 62 | | 37 | 29 |
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| 88.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 86 | | matches | | 0 | "been torn" | | 1 | "been given" | | 2 | "been made" | | 3 | "been pushed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 183 | | matches | | 0 | "were turning" | | 1 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 99 | | ratio | 0.111 | | matches | | 0 | "Ahead of her — three paces ahead, no more — the ground was soft." | | 1 | "She'd taken them for trees at first, and in fairness they had been trees once — eight oaks, or the memory of eight oaks, standing in a rough ring some thirty feet across." | | 2 | "The pendant told her, maybe — the Heartstone lay against her sternum under three layers of jumper and coat and it had begun to pulse, slow and steady and warm, a second heartbeat keeping time slightly out of step with her own." | | 3 | "Warm — in December, with the solstice four days off and the pipes in her flat groaning every night above Silas' bar." | | 4 | "She was aware of the stone on either side of her, of a chill that lifted off it like the breath of a cellar, and then of a sensation in her ears like a plane descending — pressure, and a low tone she felt in her teeth rather than heard — and then grass." | | 5 | "She knew the winter constellations; her father had taught her Orion off the Cardiff seafront when she was six." | | 6 | "Nothing was there that she recognised, only a scatter of white lights and, off to what she decided to call the east, three moons — no, one moon and two things that were not moons, that had edges too clean, that turned slowly like coins falling through oil." | | 7 | "The grass gave way in places to bare, packed paths that didn't seem to go anywhere in particular, and Rory noticed after a while that the paths had been made by feet — many feet, over a long time — and that hers and Eva's left prints in the damp, and Nyx left nothing because Nyx was currently a person-shaped absence gliding along the ground, and there was a third set of prints nowhere at all." | | 8 | "Not birdsong exactly — sequences, five notes repeated with tiny variations, like something practising." | | 9 | "It was an oak, and it was vast, and it was in blossom, which oaks did not do — great creamy panicles of flower hanging from black branches, dropping petals in a slow constant snow that never seemed to accumulate." | | 10 | "The grass beneath her was undisturbed, unbent, as though she weighed nothing at all — as though she stood a hair's breadth above it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 464 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.03017241379310345 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008620689655172414 | |
| 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 | 13.26 | | std | 13.78 | | cv | 1.039 | | sampleLengths | | 0 | 10 | | 1 | 12 | | 2 | 25 | | 3 | 14 | | 4 | 1 | | 5 | 4 | | 6 | 16 | | 7 | 3 | | 8 | 27 | | 9 | 21 | | 10 | 2 | | 11 | 11 | | 12 | 2 | | 13 | 33 | | 14 | 5 | | 15 | 37 | | 16 | 28 | | 17 | 2 | | 18 | 5 | | 19 | 8 | | 20 | 15 | | 21 | 4 | | 22 | 5 | | 23 | 6 | | 24 | 42 | | 25 | 4 | | 26 | 4 | | 27 | 3 | | 28 | 5 | | 29 | 5 | | 30 | 3 | | 31 | 3 | | 32 | 3 | | 33 | 36 | | 34 | 6 | | 35 | 22 | | 36 | 10 | | 37 | 6 | | 38 | 1 | | 39 | 2 | | 40 | 4 | | 41 | 24 | | 42 | 10 | | 43 | 54 | | 44 | 10 | | 45 | 12 | | 46 | 4 | | 47 | 32 | | 48 | 19 | | 49 | 3 |
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| 78.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5050505050505051 | | totalSentences | 99 | | uniqueOpeners | 50 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | 0 | "Then, faint and far off" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 70 | | matches | | 0 | "She stopped with one foot" | | 1 | "She could smell it." | | 2 | "Their voice came from her" | | 3 | "It always sounded like that:" | | 4 | "She'd taken them for trees" | | 5 | "She wasn't sure how she" | | 6 | "She said, and it came" | | 7 | "It smelled of hawthorn blossom" | | 8 | "They went through single file," | | 9 | "She was aware of the" | | 10 | "She looked up and forgot" | | 11 | "She knew the winter constellations;" | | 12 | "They went deeper." | | 13 | "She stopped and turned around" | | 14 | "It came from beyond a" | | 15 | "She had looked at it" | | 16 | "she said, before Eva could" | | 17 | "It was an oak, and" | | 18 | "Its roots had grown up" | | 19 | "She reached out towards a" |
| | ratio | 0.3 | |
| 81.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 70 | | matches | | 0 | "Frost crunched under Rory's boots" | | 1 | "She stopped with one foot" | | 2 | "She could smell it." | | 3 | "Cut grass and warm earth" | | 4 | "Their voice came from her" | | 5 | "It always sounded like that:" | | 6 | "She'd taken them for trees" | | 7 | "Bark had gone to stone." | | 8 | "The grain was still visible" | | 9 | "She wasn't sure how she" | | 10 | "The pendant told her, maybe" | | 11 | "Something adjacent to one." | | 12 | "A thin place." | | 13 | "Rory felt ridiculous." | | 14 | "She said, and it came" | | 15 | "It smelled of hawthorn blossom" | | 16 | "Eva made a small, wounded" | | 17 | "They went through single file," | | 18 | "Crossing took no time and" | | 19 | "She was aware of the" |
| | ratio | 0.757 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 7 | | matches | | 0 | "She was aware of the stone on either side of her, of a chill that lifted off it like the breath of a cellar, and then of a sensation in her ears like a plane de…" | | 1 | "There was a *ceiling* of sky, that was the only way she could put it later, hung low and close overhead, a deep bruised blue that held stars in the wrong places…" | | 2 | "Nothing was there that she recognised, only a scatter of white lights and, off to what she decided to call the east, three moons — no, one moon and two things t…" | | 3 | "Snowdrops and poppies and blackberries in fruit and apple blossom, all at once, all in the same square yard of earth, every season of the year crowded into one …" | | 4 | "The grass gave way in places to bare, packed paths that didn't seem to go anywhere in particular, and Rory noticed after a while that the paths had been made by…" | | 5 | "Threads hung from the lower boughs: hundreds of them, thousands, ribbons and bootlaces and strips of cloth, some rotted to nothing, some bright as if tied that …" | | 6 | "The grass beneath her was undisturbed, unbent, as though she weighed nothing at all — as though she stood a hair's breadth above it." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | 0 | "Eva whispered (whisper)" |
| | dialogueSentences | 25 | | tagDensity | 0.36 | | leniency | 0.72 | | rawRatio | 0.111 | | effectiveRatio | 0.08 | |