Run: 2026-10-13-01M4V20V9KX6KWTPE9MD62ZW90

Run Details

Duration:
29.0s
Cost:
$0.022527
Provider:
Google AI Studio

Model input

System
You are an expert and award-winning novel writer in the dark Mystery genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Detective Harlow Quinn ducked under the fluttering blue-and-white police tape and crushed a dry human rib beneath her heel. She froze, her sharp jaw clenching. Lifting her boot, she inspected the chalky shards on the grimy platform tiles. "Watch your step, Guv." Detective Constable Miller didn't look up from his clipboard. "Place is littered with the stuff. Animal, mostly. Foxes drag rubbish down the shafts." "Foxes don't snap femurs into neat two-inch tokens, Miller." Quinn crouched, her movements honed by military precision. She picked up an intact piece of bone near the edge of the yellow line. Someone had carved a crude spiral into the marrow. She bagged it, dropped it into her coat pocket, and stood up. The abandoned Tube station beneath Camden smelled of damp soot, copper, and roasted star anise. For a derelict tunnel sealed off since the seventies, the air tasted heavy, almost spiced. Blue tarpaulins hung from the curved brick walls, flapping in a draft that shouldn't exist sixty feet underground. Chalk markings covered the stone, smeared by the heavy boots of the forensic team. "Give me the summary," she said. "Victim is male, thirties. No wallet, no phone." Miller gestured with his pen toward the body lying near the rusted tracks. "Throat cut. Clean slice, ear to ear. Looks like a drug deal gone south. Squatting regulars probably saw too much and bolted." "Squatters." "Look around, Boss. Makeshift stalls, fire pits, blankets. Textbook rough sleeper camp." Quinn walked past him. Her brown eyes swept the curving tunnel. The wooden crates stacked against the tiled walls weren't rotting pallets nicked from behind a Tesco. They were heavy cedar chests, banded in iron. The wax pooled on the concrete floor wasn't cheap paraffin from pound-shop tea lights. It was dark red beeswax, smelling faintly of myrrh. She stopped beside the corpse. The man wore a bespoke charcoal wool coat. His fingernails were manicured. "Rich squatter," she said. "Buyer, then. Came down to score." "In leather-soled Oxfords?" "Addiction makes people stupid." Quinn pulled on a pair of nitrile gloves. She knelt beside the body. The cut across the neck was deep, exposing the severed trachea. She leaned closer. The concrete beneath the man's head was bone dry, save for a small dark smear no larger than a saucer. "Where is it?" she asked. "Where's what?" "The blood, Miller. Five litres of it. Carotid's severed. The arterial spray should have painted those tiles halfway to the ceiling." "Track ballast soaked it up." "He's four feet from the edge." "Then they moved him." "No drag marks on his heels. Look at the dust on his coat. He fell right here." Miller sighed, shifting his weight. His boots squeaked on the tile. "Look, Detective, forensics have another three scenes in Kentish Town tonight. It's a gang hit. They bled him somewhere else, dumped him down the chute, and cleared out." Quinn ignored him. She checked the worn leather watch on her left wrist. Three years ago, she had knelt beside DS Morris in an alley behind Rotherhithe. Same dry pavement. Same impossible wounds. The brass had buried that file under ten tons of bureaucratic concrete, muttering about psychotic episodes and freak accidents. She had kept her mouth shut then to keep her badge. She wasn't feeling quiet tonight. She ran her gloved fingers along the dead man's lapel. A fine grey powder clung to the wool. She rubbed it between her thumb and forefinger. Not concrete dust. Ash. Cold, greasy ash. Something glinted beneath the dead man's stiffened left hand. Quinn pried the cold fingers back. Rigor mortis hadn't settled in the joints yet, though the skin felt like meat pulled from a deep freeze. Frost rimed the edges of his knuckles. In the humid, stifling belly of the London Underground, the corpse was freezing. Nestled in his palm sat a small brass compass. She lifted it out. A patina of verdigris crusted the casing, turning the metal a sickly sea-green. She wiped the glass face with her thumb. Beneath the grime, tiny, intricate sigils ringed the dial where north and south should have been. "Found a trinket?" Miller peered over her shoulder. "Camden Lock's right above us. Tourist junk." "The needle's spinning." "Magnetism from the live rails on the Northern Line." "The Northern Line is three hundred yards east." Quinn tilted the brass casing. The needle didn't spin wildly. It twitched, tic-toc, tic-toc, before locking onto the brick wall at the far end of the platform. She stood up, holding the compass flat in her palm. She took three steps toward the wall. The needle stayed dead on target, pointing at a tiled alcove plastered with faded vintage advertisements for soap and gin. The air grew colder with every step. The scent of star anise faded, replaced by ozone, like the metallic tang before a summer thunderstorm. "Guv?" Miller stayed by the body. "Forensics need to bag that." "In a minute." She reached the alcove. The brickwork here looked newer than the Victorian tunnel, though grime had been smeared over the mortar to blend it in. She held the compass up to the wall. The brass grew warm against her palm. The needle vibrated, humming against the glass face with a low, angry buzz. Scratched into the glaze of a green ceramic tile, at eye level, was a symbol. It matched the spiral on the bone fragment in her pocket. "Wait here," she told Miller. "Someone's coming down the stairs." Quinn spun around, dropping the compass into her pocket and resting her hand on her baton. Footsteps echoed down the spiral metal staircase at the end of the platform. Not the heavy thud of police boots. Light, hurried clicks. A young woman emerged from the stairwell shadow. She stood five-foot-four, her curly red hair escaping a loose knot. A worn leather satchel bulged against her hip, heavy with books. She froze when she saw the floodlights, her green eyes widening behind round glasses. "Police crime scene," Miller barked, stepping forward. "Turn around, love. Station's closed." "I took a wrong turn at Chalk Farm," the woman said. Her voice was breathless, educated, carrying the crisp vowels of an Oxford lecture hall. She tucked a stray lock of red hair behind her left ear. "Through a welded steel grate?" Quinn walked toward her, watching the woman's feet. "The door was propped open." The woman backed up a step, her freckled complexion paling under the harsh halogen lamps. "I was looking for the night market." "Camden Market closes at six," Miller said. "Go on, clear off." "Hold on, Miller." Quinn stopped five feet from the newcomer. She didn't look at the woman's face. She looked at the hem of her trench coat. Grey, greasy ash stained the fabric. And dangling from the strap of her leather satchel, tied with leather cord, was a two-inch cylinder of carved bone. The woman noticed Quinn's stare. She tucked her hair behind her left ear again, her fingers trembling. "What's your name?" Quinn asked. "Eva. Eva Kowalski." "What's in the bag, Eva?" "Research materials. I work at the British Museum." "Awfully late for archive work." Quinn pulled the bone fragment from her pocket, holding it up in the evidence bag. "And you're carrying the ticket for a very exclusive show." Eva's gaze dropped to the dead man on the platform. She didn't gasp. She didn't cover her mouth like a civilian stumbling onto a murder. She looked at the corpse's empty left hand, then straight at Quinn's coat pocket. Inside Quinn's pocket, the brass compass began to rattle violently. Behind them, the brick wall in the alcove groaned. Dust rained from the vaulted ceiling as the mortar between the tiles split open, bleeding a thick, violet light into the tunnel.
created_at"2026-10-13T16:37:37.226Z" 10/13/2026, 4:37:37 PM
model"google/gemini-4-argon-20261013"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2212
moderation_latency(null)
generation_time28984
tokens_prompt4492
tokens_completion1972
native_tokens_prompt4539
native_tokens_completion1818
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached2490
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
service_tier(null)
usage0.022527
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791909457-8umorBF9zX9ZtM677YaB"
session_id(null)
preset_id(null)
api_type"completions"
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upstream_id"UV7OaoyFE93ojMcPvvnU4QQ"
provider_responses
0
endpoint_id"4934736c-d662-4fe3-98eb-56def8c8c174"
id"UV7OaoyFE93ojMcPvvnU4QQ"
is_byokfalse
latency2212
model_permaslug"google/gemini-4-argon-20261013"
provider_name"Google AI Studio"
status200
total_cost0.022527
cache_discount0.009462
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags17
adverbTagCount0
adverbTags(empty)
dialogueSentences45
tagDensity0.378
leniency0.756
rawRatio0
effectiveRatio0
96.14% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1294
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
76.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1294
totalAiIsms6
found
0
word"clenching"
count1
1
word"weight"
count1
2
word"intricate"
count1
3
word"vibrated"
count1
4
word"footsteps"
count1
5
word"echoed"
count1
highlights
0"clenching"
1"weight"
2"intricate"
3"vibrated"
4"footsteps"
5"echoed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences105
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences105
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences133
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1294
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount994
uniqueNames14
maxNameDensity1.51
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn15
Constable1
Miller8
Tube1
Camden1
Tesco1
Morris1
Rotherhithe1
London1
Underground1
Victorian1
Oxford1
Eva1
persons
0"Harlow"
1"Quinn"
2"Constable"
3"Miller"
4"Camden"
5"Morris"
6"Eva"
places
0"London"
1"Oxford"
globalScore0.745
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences75
glossingSentenceCount1
matches
0"felt like meat pulled from a deep freez"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1294
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences133
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs61
mean21.21
std17.54
cv0.827
sampleLengths
019
119
227
39
444
562
66
743
81
912
1058
1117
124
136
143
154
1647
175
182
1921
205
216
224
2317
2439
2568
2633
279
2845
299
3041
3115
323
339
3435
3537
3624
3711
383
3953
4026
415
425
4316
4423
4544
4612
4737
4813
4927
98.58% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences105
matches
0"were manicured"
1"been smeared"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs177
matches
0"weren't rotting"
1"wasn't feeling"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences133
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1003
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.01296111665004985
lyAdverbCount6
lyAdverbRatio0.005982053838484547
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences133
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences133
mean9.73
std5.53
cv0.568
sampleLengths
019
16
213
313
414
59
68
715
89
912
1015
1115
1218
1314
146
1521
1622
171
1812
194
207
2116
228
2314
249
255
268
274
284
296
303
314
328
335
3411
353
3620
375
382
3921
405
416
424
4317
445
456
4628
473
4810
4914
73.68% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.49624060150375937
totalSentences133
uniqueOpeners66
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences99
matches(empty)
ratio0
78.59% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences99
matches
0"She froze, her sharp jaw"
1"She picked up an intact"
2"She bagged it, dropped it"
3"Her brown eyes swept the"
4"They were heavy cedar chests,"
5"It was dark red beeswax,"
6"She stopped beside the corpse."
7"His fingernails were manicured."
8"She knelt beside the body."
9"She leaned closer."
10"His boots squeaked on the"
11"She checked the worn leather"
12"She had kept her mouth"
13"She wasn't feeling quiet tonight."
14"She ran her gloved fingers"
15"She rubbed it between her"
16"She lifted it out."
17"She wiped the glass face"
18"It twitched, tic-toc, tic-toc, before"
19"She stood up, holding the"
ratio0.354
45.86% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount82
totalSentences99
matches
0"Detective Harlow Quinn ducked under"
1"She froze, her sharp jaw"
2"Detective Constable Miller didn't look"
3"Quinn crouched, her movements honed"
4"She picked up an intact"
5"Someone had carved a crude"
6"She bagged it, dropped it"
7"The abandoned Tube station beneath"
8"Chalk markings covered the stone,"
9"Miller gestured with his pen"
10"Quinn walked past him."
11"Her brown eyes swept the"
12"The wooden crates stacked against"
13"They were heavy cedar chests,"
14"The wax pooled on the"
15"It was dark red beeswax,"
16"She stopped beside the corpse."
17"The man wore a bespoke"
18"His fingernails were manicured."
19"Quinn pulled on a pair"
ratio0.828
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences99
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount1
matches
0"Blue tarpaulins hung from the curved brick walls, flapping in a draft that shouldn't exist sixty feet underground."
95.59% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount1
matches
0"The woman backed up, her freckled complexion paling under the harsh halogen lamps"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount1
fancyTags
0"Miller barked (bark)"
dialogueSentences45
tagDensity0.178
leniency0.356
rawRatio0.125
effectiveRatio0.044
87.1750%