| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1717 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 47.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1717 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "footsteps" | | 1 | "familiar" | | 2 | "weight" | | 3 | "tracing" | | 4 | "tension" | | 5 | "silence" | | 6 | "reminder" | | 7 | "unspoken" | | 8 | "measured" | | 9 | "pulse" |
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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 | 43 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 43 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 55 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 110 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1715 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 809 | | uniqueNames | 12 | | maxNameDensity | 0.49 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Golden | 1 | | Empress | 1 | | Blackwood | 1 | | Cardiff | 2 | | Eva | 1 | | Silas | 4 | | London | 1 | | Aurora | 4 |
| | persons | | 0 | "Carter" | | 1 | "Blackwood" | | 2 | "Eva" | | 3 | "Silas" | | 4 | "Aurora" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Golden" | | 3 | "Cardiff" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1715 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 74.69% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 100.88 | | std | 41.5 | | cv | 0.411 | | sampleLengths | | 0 | 165 | | 1 | 146 | | 2 | 23 | | 3 | 38 | | 4 | 104 | | 5 | 36 | | 6 | 107 | | 7 | 81 | | 8 | 114 | | 9 | 139 | | 10 | 124 | | 11 | 129 | | 12 | 93 | | 13 | 123 | | 14 | 110 | | 15 | 140 | | 16 | 43 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 43 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 118 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 55 | | ratio | 0.073 | | matches | | 0 | "Once he had stood with the loose confidence of someone who could vanish into any street; now the injury anchored him to this dim room with its silent maps." | | 1 | "\"The ring remains because some habits refuse retirement. Authority does not vanish; it simply narrows. I see operatives through the hidden room behind the bookshelf, arrange quiet exchanges that once required travel. Yet each evening I close the bar and feel the distance from Prague, from Cardiff, from the version of myself that could fix more than a risen loaf of bread or an unpaid tab. You fled to escape one man. I retired to escape the knowledge that I could not always prevent the harm. The photographs on these walls hold the proof—streets I once crossed, faces I once trusted. They do not forgive the passages of time.\"" | | 2 | "\"I recall the blood and the bicycle at the bottom of the hill. Your father wanted stitches; your mother wanted to know why you rode without caution. I told them the scar would serve as a better reminder than any warning. I did not foresee the larger dangers that would follow you into adulthood. If I had spoken more directly about the kind of men who sense vulnerability, perhaps the escape would have happened earlier. That remains the heaviest of the years we left unaddressed.\"" | | 3 | "Each exchange circled the gap between the younger versions of themselves— the girl with unrestrained curiosity and the operative who still walked without favor—and the people seated here, marked by flight and injury, by unsent letters and unsaid warnings." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 814 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.036855036855036855 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012285012285012284 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 55 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 55 | | mean | 31.18 | | std | 29.22 | | cv | 0.937 | | sampleLengths | | 0 | 20 | | 1 | 29 | | 2 | 22 | | 3 | 33 | | 4 | 18 | | 5 | 22 | | 6 | 21 | | 7 | 8 | | 8 | 33 | | 9 | 15 | | 10 | 27 | | 11 | 19 | | 12 | 25 | | 13 | 19 | | 14 | 19 | | 15 | 4 | | 16 | 15 | | 17 | 23 | | 18 | 18 | | 19 | 14 | | 20 | 43 | | 21 | 29 | | 22 | 9 | | 23 | 27 | | 24 | 10 | | 25 | 97 | | 26 | 11 | | 27 | 11 | | 28 | 59 | | 29 | 7 | | 30 | 107 | | 31 | 17 | | 32 | 14 | | 33 | 108 | | 34 | 15 | | 35 | 109 | | 36 | 7 | | 37 | 18 | | 38 | 23 | | 39 | 11 | | 40 | 70 | | 41 | 8 | | 42 | 85 | | 43 | 12 | | 44 | 11 | | 45 | 100 | | 46 | 15 | | 47 | 95 | | 48 | 7 | | 49 | 24 |
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| 63.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4 | | totalSentences | 55 | | uniqueOpeners | 22 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 43 | | matches | | 0 | "Once he had stood with" |
| | ratio | 0.023 | |
| 52.56% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 43 | | matches | | 0 | "She stood still for a" | | 1 | "Her shoulder-length black hair, still" | | 2 | "She had not come downstairs" | | 3 | "His neatly trimmed beard hid" | | 4 | "he said, the name spoken" | | 5 | "She crossed the room, the" | | 6 | "He gestured to the stool" | | 7 | "He poured tea from a" | | 8 | "He moved his leg carefully" | | 9 | "She sipped the tea, its" | | 10 | "She set the cup down," | | 11 | "His hazel eyes held hers" | | 12 | "He reached for the teapot" | | 13 | "They sat without speaking for" | | 14 | "He turned the ring once" | | 15 | "Their words continued into the" | | 16 | "She described the rhythm of" | | 17 | "He spoke of the hidden" |
| | ratio | 0.419 | |
| 53.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 43 | | matches | | 0 | "Aurora Carter stepped into The" | | 1 | "The green neon sign above" | | 2 | "She stood still for a" | | 3 | "Her shoulder-length black hair, still" | | 4 | "The small crescent scar on" | | 5 | "She had not come downstairs" | | 6 | "Silas Blackwood sat at the" | | 7 | "His neatly trimmed beard hid" | | 8 | "The silver signet ring on" | | 9 | "he said, the name spoken" | | 10 | "She crossed the room, the" | | 11 | "He gestured to the stool" | | 12 | "He poured tea from a" | | 13 | "He moved his leg carefully" | | 14 | "She sipped the tea, its" | | 15 | "Silas nodded once, the signet" | | 16 | "She set the cup down," | | 17 | "The tension between them settled" | | 18 | "His hazel eyes held hers" | | 19 | "Aurora studied the grain of" |
| | ratio | 0.814 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "Once he had stood with the loose confidence of someone who could vanish into any street; now the injury anchored him to this dim room with its silent maps." | | 1 | "He spoke of the hidden room and the occasional visitor who needed a name or a train timetable, never staying long enough to disturb the photographs." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |