| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "She laughed once [once]" |
| | dialogueSentences | 33 | | tagDensity | 0.424 | | leniency | 0.848 | | rawRatio | 0.071 | | effectiveRatio | 0.061 | |
| 85.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1692 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "slowly" | | 1 | "deliberately" | | 2 | "carefully" | | 3 | "really" | | 4 | "softly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 61.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1692 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "pulse" | | 1 | "warmth" | | 2 | "weight" | | 3 | "fractured" | | 4 | "silence" | | 5 | "familiar" | | 6 | "unspoken" | | 7 | "coded" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 121 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 121 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1677 | | ratio | 0 | | matches | (empty) | |
| 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 | 39 | | wordCount | 1301 | | uniqueNames | 16 | | maxNameDensity | 0.69 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 2 | | Nest | 4 | | Soho | 2 | | Carter | 1 | | Richard | 1 | | Thames | 1 | | Aurora | 9 | | Cardiff | 2 | | Prague | 2 | | London | 3 | | Silas | 7 | | Europe | 1 | | Yu-Fei | 1 | | Light | 1 | | Bright | 1 | | Spymaster | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Richard" | | 4 | "Aurora" | | 5 | "Silas" | | 6 | "Light" |
| | places | | 0 | "Soho" | | 1 | "Thames" | | 2 | "Cardiff" | | 3 | "Prague" | | 4 | "London" | | 5 | "Europe" | | 6 | "Yu-Fei" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 1 | | matches | | 0 | "as if measuring apologies" |
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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 | 1677 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 138 | | matches | | 0 | "crossed that threshold" | | 1 | "believed that running" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 49.32 | | std | 28.12 | | cv | 0.57 | | sampleLengths | | 0 | 87 | | 1 | 62 | | 2 | 5 | | 3 | 97 | | 4 | 1 | | 5 | 46 | | 6 | 31 | | 7 | 39 | | 8 | 81 | | 9 | 5 | | 10 | 48 | | 11 | 52 | | 12 | 89 | | 13 | 18 | | 14 | 54 | | 15 | 85 | | 16 | 8 | | 17 | 35 | | 18 | 88 | | 19 | 27 | | 20 | 45 | | 21 | 28 | | 22 | 71 | | 23 | 83 | | 24 | 15 | | 25 | 53 | | 26 | 79 | | 27 | 16 | | 28 | 64 | | 29 | 27 | | 30 | 39 | | 31 | 47 | | 32 | 80 | | 33 | 72 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 202 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 2 | | flaggedSentences | 11 | | totalSentences | 138 | | ratio | 0.08 | | matches | | 0 | "She watched the letters pulse—Raven’s, Nest—and felt something tight and unwelcome settle behind her ribs." | | 1 | "The walls still held their maps—yellowed routes across continents she could no longer name—and the black-and-white photographs stared back as if they recognised her." | | 2 | "Grey streaked the auburn now in thick, deliberate ribbons; the beard he kept neat had silvered at the chin." | | 3 | "He poured without asking—something dark and peaty into a heavy tumbler—and set it in front of her." | | 4 | "“I went where I needed to. Work. Quiet work. No trailing ends.” The delivery shifts for Yu-Fei’s place came later—safe, anonymous, motorcycle through London’s veins." | | 5 | "“Somebody had to keep the Nest upright.” He rubbed a thumb along the grain of the bar top, then stopped, as if the gesture belonged to a different man—the one who had once briefed operatives in basement rooms with no windows." | | 6 | "The Nest always carried eavesdroppers the way rain carried cold; Silas had built it that way." | | 7 | "He exhaled through his nose—half laugh, half something heavier." | | 8 | "“Because some doors you leave ajar.” For a moment the old agent surfaced—the Spymaster people still whispered about in rooms that smelled of coffee and betrayal." | | 9 | "Between them stretched every blank page of half a decade—missions not taken, warnings not sent, a girl from Cardiff who had become someone cold enough to survive and a retired ghost who poured measures as if measuring apologies." | | 10 | "The Nest breathed around them—old wood, older secrets—and for the first time in years Aurora felt the pull of a floor that stayed under her feet." |
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| 76.60% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1321 | | adjectiveStacks | 3 | | stackExamples | | 0 | "later—safe, anonymous, motorcycle" | | 1 | "beneath grey-streaked hair" | | 2 | "own quiet, devastating weight." |
| | adverbCount | 61 | | adverbRatio | 0.04617713853141559 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.005299015897047691 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 12.15 | | std | 9.97 | | cv | 0.82 | | sampleLengths | | 0 | 22 | | 1 | 30 | | 2 | 15 | | 3 | 2 | | 4 | 18 | | 5 | 4 | | 6 | 2 | | 7 | 20 | | 8 | 24 | | 9 | 3 | | 10 | 9 | | 11 | 5 | | 12 | 24 | | 13 | 19 | | 14 | 20 | | 15 | 9 | | 16 | 25 | | 17 | 1 | | 18 | 13 | | 19 | 2 | | 20 | 13 | | 21 | 1 | | 22 | 17 | | 23 | 16 | | 24 | 6 | | 25 | 4 | | 26 | 5 | | 27 | 17 | | 28 | 7 | | 29 | 12 | | 30 | 3 | | 31 | 3 | | 32 | 1 | | 33 | 29 | | 34 | 12 | | 35 | 28 | | 36 | 5 | | 37 | 3 | | 38 | 5 | | 39 | 7 | | 40 | 6 | | 41 | 35 | | 42 | 2 | | 43 | 4 | | 44 | 2 | | 45 | 4 | | 46 | 25 | | 47 | 13 | | 48 | 2 | | 49 | 41 |
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| 75.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4855072463768116 | | totalSentences | 138 | | uniqueOpeners | 67 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 103 | | matches | | 0 | "Only the dust had shifted," | | 1 | "Just the one word, gravelled" | | 2 | "Of course he remembered." | | 3 | "Light fractured through the amber." | | 4 | "Always running one step ahead" | | 5 | "Flat above the bar" | | 6 | "Bright blue against the hazel" | | 7 | "Then it sank again beneath" |
| | ratio | 0.078 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 103 | | matches | | 0 | "She watched the letters pulse—Raven’s," | | 1 | "She pushed the door." | | 2 | "She knew him by the" | | 3 | "He looked up when the" | | 4 | "She took the stool at" | | 5 | "Her voice came out steady" | | 6 | "She had practised that." | | 7 | "He poured without asking—something dark" | | 8 | "She almost smiled." | | 9 | "She did not hide it." | | 10 | "He left the rest unsaid," | | 11 | "He rubbed a thumb along" | | 12 | "She turned the glass slowly" | | 13 | "She had been twenty when" | | 14 | "His mouth tightened." | | 15 | "He poured himself a measure," | | 16 | "She watched his hands: still" | | 17 | "She remembered him pressing it" | | 18 | "She laughed once, short and" | | 19 | "He leaned in a fraction" |
| | ratio | 0.282 | |
| 66.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 103 | | matches | | 0 | "The green neon of The" | | 1 | "Aurora Carter stood beneath it" | | 2 | "She watched the letters pulse—Raven’s," | | 3 | "She pushed the door." | | 4 | "Warmth rushed out, thick with" | | 5 | "The walls still held their" | | 6 | "Nothing had moved." | | 7 | "Silas was behind the bar." | | 8 | "She knew him by the" | | 9 | "A silver signet ring caught" | | 10 | "He looked up when the" | | 11 | "Hazel eyes narrowed, then opened" | | 12 | "The childhood name that belonged" | | 13 | "She took the stool at" | | 14 | "Her voice came out steady" | | 15 | "She had practised that." | | 16 | "He poured without asking—something dark" | | 17 | "The limp was worse when" | | 18 | "Knee still remembered Prague even" | | 19 | "She almost smiled." |
| | ratio | 0.786 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 103 | | matches | | 0 | "Before that there had been" | | 1 | "Now he looked nothing like" | | 2 | "Now she knew better accidents." |
| | ratio | 0.029 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 10 | | matches | | 0 | "Aurora Carter stood beneath it longer than she needed to, Richard’s collar turned up against a wind that carried the wetness of the Thames and the exhaust of la…" | | 1 | "The walls still held their maps—yellowed routes across continents she could no longer name—and the black-and-white photographs stared back as if they recognised…" | | 2 | "Hazel eyes narrowed, then opened again with a caution she remembered from training rooms and late nights that did not exist on any official clock." | | 3 | "The person who had left London five years earlier had still worn hope like jewellery, had still believed that running far enough would make the past forget her …" | | 4 | "That man still lived in the photographs on the wall: younger, sharper, eyes that had not yet learnt how many ways a mission could fail in Prague and leave you w…" | | 5 | "Now he looked nothing like that man, and she looked nothing like the bright-eyed girl who had listened." | | 6 | "She remembered him pressing it into soft wax years ago, sealing something that could never be unsealed." | | 7 | "Father the barrister, mother the teacher who had wanted her daughter safer and smaller." | | 8 | "Between them stretched every blank page of half a decade—missions not taken, warnings not sent, a girl from Cardiff who had become someone cold enough to surviv…" | | 9 | "But the recognition that time had carved them both into people who could still recognise each other in a dim bar off a Soho street, and that recognition alone c…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "She laughed once (laugh)" |
| | dialogueSentences | 33 | | tagDensity | 0.152 | | leniency | 0.303 | | rawRatio | 0.2 | | effectiveRatio | 0.061 | |