| 51.85% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said honestly [honestly]" | | 1 | "she said carefully [carefully]" |
| | dialogueSentences | 27 | | tagDensity | 0.407 | | leniency | 0.815 | | rawRatio | 0.182 | | effectiveRatio | 0.148 | |
| 86.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1463 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "gently" | | 3 | "carefully" |
| |
| 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) | |
| 79.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1463 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "whisper" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "crystalline" | | 4 | "could feel" | | 5 | "electric" |
| |
| 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 | 1 | | narrationSentences | 93 | | matches | | |
| 19.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 6 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1474 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1220 | | uniqueNames | 11 | | maxNameDensity | 0.49 | | worstName | "Nyx" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Nyx" | | discoveredNames | | Aurora | 5 | | London | 3 | | October | 1 | | Heartstone | 3 | | Fae | 1 | | Grove | 1 | | English | 1 | | Nyx | 6 | | Isolde | 1 | | Varga | 1 | | Seer | 2 |
| | persons | | | places | | 0 | "London" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "Seer" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 4 | | matches | | 0 | "whisper that seemed to ride the air rather than cut through it" | | 1 | "looked like fear" | | 2 | "felt like ten minutes when she realized" | | 3 | "canopy that seemed to hold up the strange, half-lit sky" |
| |
| 64.31% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.357 | | wordCount | 1474 | | matches | | 0 | "not wind, not breeze, but attention" | | 1 | "not breeze, but attention" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 109 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 34.28 | | std | 30.08 | | cv | 0.877 | | sampleLengths | | 0 | 5 | | 1 | 83 | | 2 | 57 | | 3 | 85 | | 4 | 8 | | 5 | 19 | | 6 | 73 | | 7 | 20 | | 8 | 33 | | 9 | 4 | | 10 | 7 | | 11 | 42 | | 12 | 3 | | 13 | 3 | | 14 | 81 | | 15 | 7 | | 16 | 99 | | 17 | 37 | | 18 | 3 | | 19 | 45 | | 20 | 37 | | 21 | 4 | | 22 | 4 | | 23 | 33 | | 24 | 6 | | 25 | 48 | | 26 | 2 | | 27 | 67 | | 28 | 8 | | 29 | 13 | | 30 | 77 | | 31 | 18 | | 32 | 82 | | 33 | 17 | | 34 | 112 | | 35 | 45 | | 36 | 36 | | 37 | 28 | | 38 | 20 | | 39 | 17 | | 40 | 11 | | 41 | 42 | | 42 | 33 |
| |
| 97.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 93 | | matches | | 0 | "were ringed" | | 1 | "was buried" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 197 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 109 | | ratio | 0.064 | | matches | | 0 | "Six of them, maybe seven — she couldn't count, because every time she looked away and looked back there seemed to be one more, or one fewer." | | 1 | "The Fae Grove took a breath around her, and she felt the air move across her skin in a way that London air had never moved — not wind, not breeze, but attention." | | 2 | "The ground sloped gently down from the standing stones into a shallow valley, and every inch of it was buried in bloom — late-blooming foxglove, pale as throat skin; valerian in sugary clusters; something tall and blue-black that she didn't recognize and that turned its head toward her as she watched, as if it had been waiting." | | 3 | "The path — if it could be called a path — wound down through the flowers without ever seeming to flatten them." | | 4 | "She could feel the faint, cool brush of petals against her ankles, and each touch left a tiny imprint of scent — honey, rain, something green and resinous that she could not name." | | 5 | "Fungi — pale as milk, faintly luminous — grew in shelves from its bark." | | 6 | "Or rather — a woman was there, the way a thought is there when you notice it: you cannot say she had arrived, only that at some point she had been, and now you saw her." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 842 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.039192399049881234 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00831353919239905 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 13.52 | | std | 12.25 | | cv | 0.906 | | sampleLengths | | 0 | 5 | | 1 | 36 | | 2 | 7 | | 3 | 7 | | 4 | 33 | | 5 | 25 | | 6 | 30 | | 7 | 2 | | 8 | 2 | | 9 | 25 | | 10 | 8 | | 11 | 28 | | 12 | 6 | | 13 | 16 | | 14 | 5 | | 15 | 3 | | 16 | 11 | | 17 | 6 | | 18 | 2 | | 19 | 14 | | 20 | 27 | | 21 | 32 | | 22 | 8 | | 23 | 5 | | 24 | 1 | | 25 | 1 | | 26 | 5 | | 27 | 3 | | 28 | 17 | | 29 | 13 | | 30 | 4 | | 31 | 7 | | 32 | 3 | | 33 | 1 | | 34 | 1 | | 35 | 8 | | 36 | 20 | | 37 | 4 | | 38 | 5 | | 39 | 3 | | 40 | 3 | | 41 | 9 | | 42 | 33 | | 43 | 13 | | 44 | 26 | | 45 | 7 | | 46 | 7 | | 47 | 57 | | 48 | 28 | | 49 | 7 |
| |
| 50.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3669724770642202 | | totalSentences | 109 | | uniqueOpeners | 40 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Somewhere above, the half-moon opened" |
| | ratio | 0.012 | |
| 61.98% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 81 | | matches | | 0 | "They had folded themselves into" | | 1 | "She rubbed it absently, the" | | 2 | "She kept her voice low" | | 3 | "They were rough-hewn, weathered to" | | 4 | "She stopped at the edge" | | 5 | "They had drifted closer, their" | | 6 | "It wasn't a warning." | | 7 | "It felt more like recognition." | | 8 | "She stepped through." | | 9 | "She stood on a bank" | | 10 | "Their wings beat at the" | | 11 | "They had not stepped through." | | 12 | "They stood on the other" | | 13 | "They were shaking." | | 14 | "It was the first time" | | 15 | "Their edges dissolved and re-formed," | | 16 | "She looked back at the" | | 17 | "Her watch had stopped." | | 18 | "She had not noticed when." | | 19 | "she said honestly" |
| | ratio | 0.395 | |
| 21.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 81 | | matches | | 0 | "The trees had grown wrong." | | 1 | "That was the first thing" | | 2 | "The oaks shouldn't have been" | | 3 | "The oaks shouldn't have been" | | 4 | "The bark peeled in long" | | 5 | "Nyx's voice came from somewhere" | | 6 | "They had folded themselves into" | | 7 | "The bracken had thinned, and" | | 8 | "The crescent-shaped scar on her" | | 9 | "She rubbed it absently, the" | | 10 | "The little crimson gem was" | | 11 | "She kept her voice low" | | 12 | "The trees seemed to lean" | | 13 | "The oaks gave way, suddenly" | | 14 | "They were rough-hewn, weathered to" | | 15 | "She stopped at the edge" | | 16 | "The air here tasted different." | | 17 | "They had drifted closer, their" | | 18 | "The Heartstone pulsed." | | 19 | "A slow, patient rhythm, like" |
| | ratio | 0.877 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 10 | | matches | | 0 | "The bark peeled in long pale strips that caught the late afternoon light and threw it back in colors that had no business existing in a London park on a grey Oc…" | | 1 | "They were rough-hewn, weathered to the color of old bone, and they were ringed with moss that glowed faintly, a pale green luminescence that had nothing to do w…" | | 2 | "The light, which had been the tired amber of an English autumn evening, sharpened into something crystalline, every leaf and blade of grass edged in gold." | | 3 | "The ground sloped gently down from the standing stones into a shallow valley, and every inch of it was buried in bloom — late-blooming foxglove, pale as throat …" | | 4 | "The flowers bloomed in drifts and riots, and the air above them was heavy with the slow, patient industry of bees that did not look quite like bees." | | 5 | "It was the first time she had ever seen Nyx's outline blur with anything that looked like fear." | | 6 | "It hung above the tree line in the west, a coin of beaten gold, fixed in a sky that was the particular bruised rose of a London dusk and the particular electric…" | | 7 | "The oak stood at the center of the grove like a bell at the center of its sound, its trunk so wide that three of her could not have linked hands around it, its …" | | 8 | "And from its lowest branch, a single rope of silver hair hung down, stirring in a wind that did not touch the rest of the grove." | | 9 | "She was small and silver and ageless, and her bare feet rested on ground that bore no imprint where they pressed." |
| |
| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "said Isolde Varga, and her voice was the sound of water over clean stones" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 27 | | tagDensity | 0.259 | | leniency | 0.519 | | rawRatio | 0.143 | | effectiveRatio | 0.074 | |