| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1706 | | totalAiIsmAdverbs | 2 | | 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) | |
| 50.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1706 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "fractured" | | 1 | "familiar" | | 2 | "jaw clenched" | | 3 | "glint" | | 4 | "weight" | | 5 | "lilt" | | 6 | "standard" | | 7 | "gloom" | | 8 | "vibrated" | | 9 | "silence" | | 10 | "chilled" | | 11 | "rhythmic" | | 12 | "mechanical" | | 13 | "tapestry" | | 14 | "velvet" | | 15 | "scanned" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 93 | | matches | (empty) | |
| 96.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1701 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1592 | | uniqueNames | 25 | | maxNameDensity | 0.94 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | High | 1 | | Street | 1 | | Quinn | 15 | | Tomás | 2 | | Herrera | 10 | | Soho | 1 | | Raven | 1 | | Nest | 2 | | Morris | 4 | | Saint | 1 | | Christopher | 1 | | Victorian | 1 | | Seville | 1 | | East | 1 | | London | 3 | | Thames | 1 | | Northern | 1 | | Blitz | 1 | | Metropolitan | 1 | | Police | 1 | | Wapping | 1 | | August | 1 | | Silas | 1 | | Veil | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Tomás" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Morris" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Blitz" | | 8 | "Police" | | 9 | "Wapping" | | 10 | "Silas" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Soho" | | 4 | "Nest" | | 5 | "Seville" | | 6 | "East" | | 7 | "London" | | 8 | "Thames" |
| | globalScore | 1 | | windowScore | 1 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like they had been opened by siege" | | 1 | "rings that seemed to catch the ambient gloom and swallow it" | | 2 | "looked like yellowed ivory, carved with g" | | 3 | "herbs that seemed to shudder when someone walked past" | | 4 | "felt like a fist" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.588 | | wordCount | 1701 | | matches | | 0 | "not the rattle of a latch, but a hollow, resonant thrum like a church bell struck under fiv" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 39.56 | | std | 26.83 | | cv | 0.678 | | sampleLengths | | 0 | 71 | | 1 | 57 | | 2 | 85 | | 3 | 29 | | 4 | 35 | | 5 | 105 | | 6 | 55 | | 7 | 46 | | 8 | 18 | | 9 | 42 | | 10 | 37 | | 11 | 6 | | 12 | 10 | | 13 | 35 | | 14 | 33 | | 15 | 52 | | 16 | 28 | | 17 | 19 | | 18 | 76 | | 19 | 7 | | 20 | 1 | | 21 | 26 | | 22 | 83 | | 23 | 23 | | 24 | 85 | | 25 | 35 | | 26 | 23 | | 27 | 72 | | 28 | 9 | | 29 | 39 | | 30 | 16 | | 31 | 95 | | 32 | 45 | | 33 | 9 | | 34 | 3 | | 35 | 65 | | 36 | 7 | | 37 | 32 | | 38 | 68 | | 39 | 22 | | 40 | 29 | | 41 | 41 | | 42 | 27 |
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| 86.40% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 93 | | matches | | 0 | "been opened" | | 1 | "were plastered" | | 2 | "been frozen" | | 3 | "been chipped" | | 4 | "been turned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 265 | | matches | | 0 | "wasn’t climbing" | | 1 | "was kneeling" | | 2 | "was handing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 102 | | ratio | 0.059 | | matches | | 0 | "For three months, Herrera had been a phantom in her periphery—a former NHS paramedic struck off the registry for falsifying triage logs, now patching up people who bled in ways the hospital mortuaries couldn't reconcile." | | 1 | "As he sprinted, a small metallic glint swung from beneath his soaked collar—the silver chain of a Saint Christopher medallion, bouncing wildly against his chest." | | 2 | "A sound vibrated through the mud beneath Quinn’s boots—not the rattle of a latch, but a hollow, resonant thrum like a church bell struck under five fathoms of water." | | 3 | "The heavy iron doors didn't swing; they yielded with an impossible, greased silence, falling open into an abyss of black air that smelled violently out of place." | | 4 | "Men in sharp bespoke suits rubbed shoulders with figures wrapped in coarse burlap and wool; women with eyes that caught the light like the tapetum of predatory cats leaned over trestle tables laden with things Quinn’s rational mind scrambled to classify." | | 5 | "Or she could look at the figures surrounding him—at the tall, hooded shape watching her from the opposite shadows with eyes that burned like unraked embers—and realize that if she fired a single round, the tunnel would not give her back." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1618 | | adjectiveStacks | 2 | | stackExamples | | 0 | "empty, mist-chilled air." | | 1 | "short curly brown hair." |
| | adverbCount | 29 | | adverbRatio | 0.01792336217552534 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.008034610630407911 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 16.68 | | std | 9.64 | | cv | 0.578 | | sampleLengths | | 0 | 15 | | 1 | 25 | | 2 | 31 | | 3 | 23 | | 4 | 17 | | 5 | 17 | | 6 | 30 | | 7 | 35 | | 8 | 17 | | 9 | 3 | | 10 | 22 | | 11 | 7 | | 12 | 14 | | 13 | 21 | | 14 | 5 | | 15 | 20 | | 16 | 25 | | 17 | 33 | | 18 | 22 | | 19 | 8 | | 20 | 27 | | 21 | 20 | | 22 | 20 | | 23 | 7 | | 24 | 19 | | 25 | 10 | | 26 | 8 | | 27 | 7 | | 28 | 7 | | 29 | 21 | | 30 | 7 | | 31 | 4 | | 32 | 25 | | 33 | 8 | | 34 | 6 | | 35 | 10 | | 36 | 27 | | 37 | 8 | | 38 | 6 | | 39 | 9 | | 40 | 13 | | 41 | 5 | | 42 | 5 | | 43 | 6 | | 44 | 16 | | 45 | 20 | | 46 | 5 | | 47 | 8 | | 48 | 20 | | 49 | 19 |
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| 50.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.35294117647058826 | | totalSentences | 102 | | uniqueOpeners | 36 | |
| 73.26% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 91 | | matches | | 0 | "Slowly, he turned his face" | | 1 | "Instead, his right hand dug" |
| | ratio | 0.022 | |
| 96.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 91 | | matches | | 0 | "It hammered Quinn’s skull beneath" | | 1 | "She kept her heels striking" | | 2 | "She had tracked him all" | | 3 | "she shouted, her voice cutting" | | 4 | "He didn’t even look back." | | 5 | "He reached an eight-foot corrugated" | | 6 | "His left sleeve pulled up" | | 7 | "She took two hard paces," | | 8 | "He was kneeling beside a" | | 9 | "His dark brown curls were" | | 10 | "His breathing came in shallow," | | 11 | "His voice carried the soft" | | 12 | "He pulled his hand free." | | 13 | "It looked like yellowed ivory," | | 14 | "He drove the flat end" | | 15 | "It didn't smell of sewer" | | 16 | "It smelled of dried sage," | | 17 | "She skidded to a halt" | | 18 | "It was warm." | | 19 | "It carried the faint, rhythmic" |
| | ratio | 0.308 | |
| 64.40% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 91 | | matches | | 0 | "The rain turned Camden High" | | 1 | "It hammered Quinn’s skull beneath" | | 2 | "She kept her heels striking" | | 3 | "The soles of his scuffed" | | 4 | "Quinn reached down, tapped the" | | 5 | "She had tracked him all" | | 6 | "People with wounds that looked" | | 7 | "People like Morris." | | 8 | "Quinn rounded the corner into" | | 9 | "The sharp angle of her" | | 10 | "she shouted, her voice cutting" | | 11 | "He didn’t even look back." | | 12 | "He reached an eight-foot corrugated" | | 13 | "His left sleeve pulled up" | | 14 | "Quinn reached the zinc hoarding" | | 15 | "She took two hard paces," | | 16 | "The impact sent a dull" | | 17 | "The yard was dead ground," | | 18 | "He was kneeling beside a" | | 19 | "Quinn drew her weapon, keeping" |
| | ratio | 0.791 | |
| 54.95% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 91 | | matches | | | ratio | 0.011 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 14 | | matches | | 0 | "She kept her heels striking hard, ball-to-toe, forty-one years old and eighteen on the force, her chest burning with that familiar, cold-iron discipline that re…" | | 1 | "For three months, Herrera had been a phantom in her periphery—a former NHS paramedic struck off the registry for falsifying triage logs, now patching up people …" | | 2 | "He was kneeling beside a heavy iron storm bulkhead that jutted from the foundations of a shuttered brick substation." | | 3 | "His dark brown curls were plastered to his forehead, framing warm brown eyes that looked far too exhausted to hold malice." | | 4 | "It looked like yellowed ivory, carved with grooved concentric rings that seemed to catch the ambient gloom and swallow it." | | 5 | "The heavy iron doors didn't swing; they yielded with an impossible, greased silence, falling open into an abyss of black air that smelled violently out of place…" | | 6 | "She counted forty steps, then fifty, descending past stripped cabling and abandoned transit posters that peeled from the curved walls like dead skin." | | 7 | "Beneath them sat dozens of stalls lit by tallow candles and floating glass spheres that drifted near the vaulted ceiling like tethered luminous jellyfish." | | 8 | "Men in sharp bespoke suits rubbed shoulders with figures wrapped in coarse burlap and wool; women with eyes that caught the light like the tapetum of predatory …" | | 9 | "Hand-blown jars containing thick, mercury-like fluids that swirled against the glass counter-clockwise." | | 10 | "The informant had sworn the place was a ghost, a bazaar that drifted under the skin of London like an unanchored tumor, shifting with the pull of the moon." | | 11 | "Thirty yards down the platform, near a merchant selling cages filled with small, blind-looking birds that whistled in minor chords, she caught a glimpse of oliv…" | | 12 | "Herrera was handing his canvas bag to an old woman whose fingers were entirely too long, her joints bending with the fluidity of water reeds." | | 13 | "The woman cracked the zipper, peer-tested the contents, and nodded, reaching into a wooden box to produce a set of steel ampoules that gleamed with an unnatural…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "Herrera whispered (whisper)" |
| | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.5 | | effectiveRatio | 0.308 | |