| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.875 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1329 | | totalAiIsmAdverbs | 3 | | 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) | |
| 66.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1329 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "charged" | | 1 | "pulsed" | | 2 | "flickered" | | 3 | "silence" | | 4 | "echo" | | 5 | "throbbed" |
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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 | 1 | | narrationSentences | 118 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 118 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 85 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1340 | | 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 | 21 | | wordCount | 1310 | | uniqueNames | 12 | | maxNameDensity | 0.31 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Richmond | 2 | | Park | 1 | | Empress | 1 | | Old | 2 | | Stones | 2 | | November | 2 | | Yu-Fei | 3 | | Brendan | 1 | | Carter | 1 | | Eva | 1 | | Silas | 1 | | Aurora | 4 |
| | persons | | 0 | "Yu-Fei" | | 1 | "Brendan" | | 2 | "Carter" | | 3 | "Eva" | | 4 | "Silas" | | 5 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "as if listening to something above it" | | 1 | "felt like the one beautiful thing in a" |
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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 | 1340 | | matches | (empty) | |
| 82.63% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 119 | | matches | | 0 | "touching that padlock" | | 1 | "see that it" | | 2 | "understood that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 32.68 | | std | 28.76 | | cv | 0.88 | | sampleLengths | | 0 | 9 | | 1 | 81 | | 2 | 28 | | 3 | 10 | | 4 | 53 | | 5 | 9 | | 6 | 60 | | 7 | 3 | | 8 | 58 | | 9 | 25 | | 10 | 8 | | 11 | 51 | | 12 | 11 | | 13 | 86 | | 14 | 6 | | 15 | 5 | | 16 | 55 | | 17 | 4 | | 18 | 66 | | 19 | 50 | | 20 | 3 | | 21 | 36 | | 22 | 29 | | 23 | 9 | | 24 | 6 | | 25 | 64 | | 26 | 14 | | 27 | 8 | | 28 | 91 | | 29 | 12 | | 30 | 33 | | 31 | 97 | | 32 | 23 | | 33 | 2 | | 34 | 58 | | 35 | 24 | | 36 | 37 | | 37 | 10 | | 38 | 89 | | 39 | 10 | | 40 | 7 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 118 | | matches | | 0 | "been lowered" | | 1 | "been told" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 204 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 2 | | flaggedSentences | 11 | | totalSentences | 119 | | ratio | 0.092 | | matches | | 0 | "She'd pushed them open with her hip — the left hinge had groaned, she'd noted it, because the sound had scattered something from the trees." | | 1 | "She walked the perimeter fence until she found the gap Yu-Fei had described — two oak posts leaning together like drunk friends, a footpath worn through the bracken between them." | | 2 | "Not warmer, not colder — changed, the way a room changed when someone stopped breathing in it." | | 3 | "The clearing opened by degrees — grass silver with frost that hadn't been there at the gates, the wildflowers growing denser, taller, until they brushed her shins." | | 4 | "The clearing lay still, frost unbroken except for her own footprints — a single dark line across the silver." | | 5 | "It hadn't walked into place; it had simply become, the way a word on a page became visible once you'd read it." | | 6 | "Aurora's training — her father's training, really, Brendan Carter's courtroom voice in her skull — said: assess, then act." | | 7 | "The figure did not cross frost without breaking it — there were no tracks before it." | | 8 | "The pendant was not hers, not really; she had never been told who sent it, and she had worn it anyway, because she was twenty-five and tired and it had felt like the one beautiful thing in a life of late deliveries and a flat above a bar that never slept." | | 9 | "It knew her name, and the wrongness of that eclipsed everything else — the voice, the frost, the dead phone in her pocket — because she had told no one about this delivery." | | 10 | "The red light at the clearing's far edge pulsed with it, and for the first time the thing in front of that light moved — a step, unhurried, towards her, and the ground did not crunch beneath its foot, and the flowers leaned away from its passage like iron filings from a reversed magnet, and Aurora understood that the night had been narrowing around her since the moment she'd ducked between the oaks, every small wrongness a wall, and the walls had just become a room." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1311 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.031273836765827616 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.008390541571319604 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 11.26 | | std | 11.8 | | cv | 1.048 | | sampleLengths | | 0 | 9 | | 1 | 23 | | 2 | 5 | | 3 | 11 | | 4 | 7 | | 5 | 2 | | 6 | 3 | | 7 | 30 | | 8 | 28 | | 9 | 4 | | 10 | 6 | | 11 | 5 | | 12 | 25 | | 13 | 23 | | 14 | 9 | | 15 | 30 | | 16 | 26 | | 17 | 4 | | 18 | 3 | | 19 | 12 | | 20 | 17 | | 21 | 29 | | 22 | 4 | | 23 | 4 | | 24 | 17 | | 25 | 8 | | 26 | 3 | | 27 | 29 | | 28 | 3 | | 29 | 1 | | 30 | 1 | | 31 | 14 | | 32 | 11 | | 33 | 4 | | 34 | 19 | | 35 | 27 | | 36 | 5 | | 37 | 11 | | 38 | 11 | | 39 | 2 | | 40 | 7 | | 41 | 6 | | 42 | 5 | | 43 | 2 | | 44 | 1 | | 45 | 19 | | 46 | 7 | | 47 | 17 | | 48 | 2 | | 49 | 4 |
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| 51.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3949579831932773 | | totalSentences | 119 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 101 | | matches | | 0 | "Then it said 11:47." | | 1 | "Then the screen died between" | | 2 | "Too far to make out" | | 3 | "Then it raised one arm." | | 4 | "Somewhere to her right, her" | | 5 | "Only Yu-Fei, who had written" |
| | ratio | 0.059 | |
| 89.31% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 101 | | matches | | 0 | "They hadn't been when she'd" | | 1 | "She was certain of that." | | 2 | "She'd pushed them open with" | | 3 | "she said, and her voice" | | 4 | "She walked the perimeter fence" | | 5 | "She ducked between them." | | 6 | "Her phone said 00:31." | | 7 | "She stopped walking." | | 8 | "she told herself" | | 9 | "She followed it because going" | | 10 | "She could see her breath." | | 11 | "She could also see, past" | | 12 | "She took three steps towards" | | 13 | "She watched it for a" | | 14 | "Her eyes kept snagging on" | | 15 | "She hadn't seen it arrive." | | 16 | "It hadn't walked into place;" | | 17 | "She backed up two paces." | | 18 | "She hated herself for looking," | | 19 | "Her footprints, which she could" |
| | ratio | 0.327 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 101 | | matches | | 0 | "The sat nav had given" | | 1 | "Aurora killed the moped's engine" | | 2 | "The address read: The Old" | | 3 | "Yu-Fei had written it himself," | | 4 | "The gates were locked." | | 5 | "They hadn't been when she'd" | | 6 | "She was certain of that." | | 7 | "She'd pushed them open with" | | 8 | "she said, and her voice" | | 9 | "She walked the perimeter fence" | | 10 | "She ducked between them." | | 11 | "The air changed." | | 12 | "That was the only way" | | 13 | "Wildflowers crowded the clearing ahead," | | 14 | "Her phone said 00:31." | | 15 | "The pendant under her collar" | | 16 | "She stopped walking." | | 17 | "The stone sat against her" | | 18 | "she told herself" | | 19 | "The path wound deeper." |
| | ratio | 0.703 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 101 | | matches | | 0 | "Now the chain hung looped" | | 1 | "Now it pulsed." | | 2 | "To her left." |
| | ratio | 0.03 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "Ancient standing stones, the codex of park lore would call them, though these looked less like carved monuments than trees that had turned to stone mid-scream." | | 1 | "The clearing opened by degrees — grass silver with frost that hadn't been there at the gates, the wildflowers growing denser, taller, until they brushed her shi…" | | 2 | "Close enough to see that it stood with its head tilted, as if listening to something above it." | | 3 | "Only Yu-Fei, who had written the address in his razor strokes and told her it existed tonight." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.625 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |