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Run: 2026-10-27-01M5YG8T1FZ0P3B382XZMZPH7F
Run Details
Model:
Kimi K3.1 Pro (Reasoning, Max)
Test:
Bad Writing Habits
Scenario:
Mystery: examining a crime scene
Duration:
12m 37s
Cost:
$0.206730
Provider:
Moonshot AI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
100.00%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
88.34%
AI-ism word frequency
(details)
100.00%
Cliché density
(details)
100.00%
Emotion telling (show vs. tell)
(details)
100.00%
Filter word density
(details)
100.00%
Gibberish response detection
(details)
100.00%
Markdown formatting overuse
(details)
100.00%
Missing dialogue indicators (quotation marks)
(details)
33.33%
Name drop frequency
(details)
100.00%
Narrator intent-glossing
(details)
100.00%
"Not X but Y" pattern overuse
(details)
100.00%
Overuse of "that" (subordinate clause padding)
(details)
100.00%
Paragraph length variance
(details)
100.00%
Passive voice overuse
(details)
100.00%
Past progressive (was/were + -ing) overuse
(details)
100.00%
Em-dash & semicolon overuse
(details)
100.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
64.96%
Sentence opener variety
(details)
75.19%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
65.26%
Subject-first sentence starts
(details)
37.59%
Subordinate conjunction sentence starts
(details)
100.00%
Technical jargon density
(details)
100.00%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
92.1559%
Overall
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
Messages
Meta
AI
The dead man’s shadow moved
before Harlow Quinn reached him.
She stopped with one boot
inside the chalk line.
Marek Venn remained propped against
the ticket booth, his throat opened from side to side.
Someone had folded his right
hand around a bone-handled knife.
His shadow slid another inch
towards the tunnel. “Nobody touch the lamps.”
DS Fenner looked up from
his notebook. Beyond him, police work lights glared across an abandoned Tube platform beneath Camden.
Stalls crowded the spaces between
the tiled pillars.
Their shutters stood open on
trays of milk teeth, stoppered bottles and bundles of blackened herbs. One sign offered memories by
weight
. Another advertised curses, wholesale only. Quinn stepped around the blood.
Copper stung her nostrils, undercut
by aniseed and the sour dust of old tunnels.
A bone token clicked in
her coat pocket.
The transport officer had used
it to open the service door above them. Without it, that door revealed bricks.
Quinn had checked before coming
down. “Your informant chose an elaborate way to miss a meeting,” Fenner said. “Cause of death.” “One wound, weapon in hand, no obvious defence injuries. I favour suicide, followed by opportunistic theft.” “Which theft?” “The traders. Forty-odd stalls, no traders, half the portable stock gone. They found him, helped themselves and remembered urgent appointments elsewhere.”
Venn had promised her a
ledger two nights earlier. Names, routes, payments. Enough to connect Aurora’s clique to the artefacts moving through London.
Now dried blood crusted his
collar and his eyes reflected nothing. Quinn crouched beside him.
She worked from his boots
upwards, keeping her gloved hands behind her back. “Venn was left-handed.” “His
watch
doesn’t prove that.” “I watched him sign every statement.” “People change hands under stress.” “Not after three operations on the right one.”
She indicated the scars crossing
Venn’s palm. Fenner leaned closer. His pen stopped moving. Quinn pointed her pen at the ticket booth. White tiles covered its lower half. Above them sat a square of clouded glass, its paint peeling around the edges. Both were clean. “The wound opened his carotid. His heart was still beating, according to your theory.” “Go on.” “Where’s the spray?” Fenner studied the tiles. Blood had run down Venn’s shirt and gathered beneath him. None marked the booth above his shoulders. None crossed his right sleeve.
Even the knife handle looked
clean except where the blade met the guard. “Killed somewhere else,” Fenner said. “Cut after death. Staged here.” “Keep going.” “His own stall is twenty metres back. He argued with a customer, got himself killed and the customer tidied up.” “Show me the drag marks.” Fenner’s jaw shifted. Quinn moved her pen over the dust.
It lay undisturbed around Venn’s
boots. No heels had scored it. No blood trailed back towards the stalls. The only footprints nearby belonged to Fenner and the scene officers, each set marked with a yellow number. “Carried, then,” Fenner said. “Whose prints?” “The tunnel team missed a set.” “The tunnel ends in brick after thirty metres. Your own search log says so.” “My theory needs a larger vehicle.” Quinn rose and looked along the Market. A coat still hung beside the nearest stall. Someone had stacked its chairs and folded a
velvet
cloth over a tray of rings. At the next stall, twine bound a crate of books. The books remained. So did a cashbox heavy enough to dent its shelf. “Nobody fled,” she said. “They tidied up before a murder?” “They closed their stalls. They left money, stock and coats. Then they went without using the stairs or the tunnel.” “People don’t vanish.” “Your theory needs a different geometry.” The voice came from beside the dead ticket machine. Eva Kowalski stood there in borrowed forensic coveralls, one hand resting on her worn leather satchel. Red curls escaped around her round glasses. Freckles stood out across her cheeks as she looked from Quinn to Venn. Quinn recognised her from the clique file. Aurora’s childhood friend. Oxford, the British Museum’s restricted archives, and a talent for appearing wherever Quinn’s investigation developed an unexplained hole. “Who opened my cordon?” “Your DCI,” Fenner said. “Ms Kowalski is our museum liaison.” “I can read Akkadian price tags. The sarcasm costs extra.” “Does Aurora know you’re here?” “Not unless your surveillance has learnt to open my post.” Quinn held Eva’s gaze. Eva looked away first, but only to examine the symbol chalked above the ticket booth.
It resembled an eye with
a key driven through its centre. “This Market should not be here,” Eva said. “The body or the décor?” Fenner asked. “Either, though I meant the Market. It moves every full moon. Stalls, doors, traders, everything that belongs to it. Camden should have been empty after the last move.” Quinn took the bone token from her pocket. A crude face marked one side. The other bore a groove that had not been there when she entered. “Venn told me a token gets you inside.” “It persuades the door that you belong. That is
not quite the same thing, but it will do for a glossary
.” “Can a corpse keep the door open?” Eva’s fingers tightened around her satchel strap. “A corpse can hold open a lift. For this sort of door, I would need to find the anchor.” A scene officer approached with an evidence pouch open between her hands. “Found this inside his waistcoat, Detective. It won’t stay still.” Quinn took the object with her gloved hand. A small brass compass lay across her palm. Verdigris mottled its casing. Protective sigils ringed its face, cut so finely that they caught the light like hair.
Its black needle quivered against
the glass. Eva moved closer. “Shade work.” “Meaning?” “A Shade artisan made it. It’s a Veil Compass. Expensive, illegal in at least three collections I could name, and not something Venn would carry without a reason.” Fenner peered at the needle. “North’s that way.” “It does not seek north.” “What does it seek?” Quinn asked. “The nearest rift. An opening between here and elsewhere.” Fenner looked at the bricked tunnel. “Does it find witnesses who talk sense?” The needle jerked towards him.
Then it swung back and
fixed on Venn. Quinn walked six paces towards the stairs. The needle turned in its housing, keeping the body in its sights.
She crossed to the tunnel
mouth. Again it moved. When she stood behind the ticket booth, the needle pointed through the brickwork. “Magnet in the knife,” Fenner said. “There’s iron all over this platform. It ignored the rails, the lamps and your handcuffs.” Quinn returned to the body.
She lowered the compass until
its needle formed a straight line with Venn’s chest. Not his chest, she realised. A point just beyond him. She looked down. Two work lights stood on opposite sides of the platform. Venn cast one shadow towards Fenner and another towards the stairs. A third band of darkness ran straight beneath him.
It crossed the blood, slipped
under the ticket booth and ended at the wall. Blood touched its edge and vanished. “Fenner. Count the lamps.” “I’ve had a long day.” “Count them.” “Two.” “Now count his shadows.” Fenner’s notebook lowered. Quinn lifted the nearest lamp from its stand. The light swung. Two of Venn’s shadows stretched across the platform. The third remained where it was. She set the lamp down. For an instant, the darkness beneath Venn had depth. Not a stain on the tiles. A narrow cut through them, with distance on the other side. Eva crouched.
She tucked a curl behind
her left ear, then repeated the movement when it slipped free. “A threshold seen edge-on.” “You sound pleased,” Fenner said. “I sound precise. Pleased would be wholly inappropriate.” Quinn watched another thread of blood reach the dark line.
It did not soak into
the dust. It went somewhere. “Venn died on the other side,” she said. “The killer cut his throat after death, put the knife in his hand and pushed him through. That’s why there’s no spray and no trail.” Fenner looked along the stalls. “And the traders?” “They crossed before the site closed. The Market started to move. Someone used Venn to stop this door finishing the journey.” Eva shook her head. “A corpse makes a poor anchor.” “It worked.” “That is the part I dislike.” The compass needle
trembled
hard enough to click against the glass. Quinn thought of Venn’s last message. Come to the Market. Bring no one.
She had ignored the second
instruction. Fenner and six uniforms had come with her, along with a transport team and now Eva. “This wasn’t staged to look like suicide,” she said. “Not once anyone examined it.” Fenner’s expression hardened. “A child could see the hand was wrong.” “You saw suicide.” “I saw a theory I’ve now abandoned. There’s a difference.” “The scene was built to be examined. Venn asks for me, dies before I arrive, and leaves a device that leads me straight to the thing holding the door open.” “An invitation,” Eva said. “To what?” The token in Quinn’s hand turned hot. She dropped it.
It struck the platform and
split along its groove. Above them, beyond the stairs, the service door slammed with enough force to shake dust from the roof. Every stall shutter rattled. The third shadow widened. Eva pulled her satchel open. “Move away from Venn. I can seal the threshold, but I need to break its hold on the anchor.” “Do it.” Quinn reached for the body’s collar. Venn’s right hand snapped up. Dead fingers locked around her left wrist. His thumb pinned her worn leather
watch
against her skin. The
watch
face cracked. Its second hand stopped. Quinn drove her boot against the ticket booth and pulled. Venn’s grip tightened. Fenner seized the corpse’s forearm, only to stagger as Venn’s head turned towards him. “Fenner, get back.” Behind her, Eva drew a clothbound book from her satchel. Its pages fanned open though there was no wind. Venn’s eyes opened. “Harlow,” he said. Quinn stopped pulling. DS Morris had spoken with that same low rasp three years ago, on the last recording she had taken from evidence. Venn’s bloodied mouth curved around Morris’s voice. “Don’t let her read.” Eva looked down at the book and began. The third shadow stood up.
created_at
"2026-10-27T11:00:03.266Z"
10/27/2026, 11:00:03 AM
model
"moonshotai/kimi-k3.1-pro-20261023"
app_id
182717
external_user
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streamed
true
cancelled
false
latency
2228
moderation_latency
(null)
generation_time
756847
tokens_prompt
4492
tokens_completion
21782
native_tokens_prompt
4270
native_tokens_completion
19819
native_tokens_completion_images
(null)
native_tokens_reasoning
17440
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.20673
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer
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request_id
"req-1793098803-Iu0vILvKMs64zYiZVP0U"
session_id
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preset_id
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api_type
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id
"gen-1793098803-L7zgST3E2JsgQNtZRdT9"
upstream_id
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provider_responses
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endpoint_id
"a3fafaac-f097-4ef1-86b3-842854dad5c6"
id
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is_byok
false
latency
2228
model_permaslug
"moonshotai/kimi-k3.1-pro-20261023"
provider_name
"Moonshot AI"
status
200
total_cost
0.20673
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Moonshot AI"
response_cache_source_id
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data_region
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workspace_id
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Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
14
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
81
tagDensity
0.173
leniency
0.346
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1715
totalAiIsmAdverbs
0
found
(empty)
highlights
(empty)
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)
88.34%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1715
totalAiIsms
4
found
0
word
"weight"
count
1
1
word
"velvet"
count
1
2
word
"quivered"
count
1
3
word
"trembled"
count
1
highlights
0
"weight"
1
"velvet"
2
"quivered"
3
"trembled"
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
148
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
1
hedgeCount
0
narrationSentences
148
filterMatches
0
"watch"
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
215
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
30
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
18
unquotedAttributions
0
matches
(empty)
33.33%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
86
wordCount
1096
uniqueNames
14
maxNameDensity
2.1
worstName
"Quinn"
maxWindowNameDensity
4
worstWindowName
"Quinn"
discoveredNames
Harlow
1
Quinn
23
Venn
17
Fenner
20
Tube
1
Camden
1
Aurora
2
London
1
Market
2
Kowalski
1
British
1
Museum
1
Eva
13
Morris
2
persons
0
"Harlow"
1
"Quinn"
2
"Venn"
3
"Fenner"
4
"Aurora"
5
"Kowalski"
6
"Museum"
7
"Eva"
8
"Morris"
places
0
"London"
1
"Market"
globalScore
0.451
windowScore
0.333
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
90
glossingSentenceCount
0
matches
(empty)
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
1
per1kWords
0.583
wordCount
1715
matches
0
"not quite the same thing, but it will do for a glossary"
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
215
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
131
mean
13.09
std
12.61
cv
0.964
sampleLengths
0
10
1
42
2
4
3
55
4
52
5
12
6
3
7
16
8
2
9
21
10
34
11
17
12
3
13
5
14
6
15
5
16
8
17
14
18
31
19
14
20
2
21
3
22
39
23
10
24
2
25
20
26
5
27
3
28
43
29
4
30
2
31
6
32
14
33
6
34
53
35
4
36
6
37
20
38
3
39
6
40
9
41
36
42
28
43
4
44
10
45
10
46
5
47
10
48
30
49
8
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
0
totalSentences
148
matches
(empty)
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
202
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
215
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1097
adjectiveStacks
0
stackExamples
(empty)
adverbCount
26
adverbRatio
0.023701002734731084
lyAdverbCount
5
lyAdverbRatio
0.004557885141294439
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
215
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
215
mean
7.98
std
5.3
cv
0.664
sampleLengths
0
10
1
9
2
15
3
10
4
8
5
4
6
7
7
13
8
8
9
16
10
6
11
5
12
5
13
14
14
8
15
13
16
6
17
6
18
12
19
3
20
16
21
2
22
21
23
9
24
3
25
11
26
11
27
4
28
13
29
3
30
5
31
6
32
5
33
8
34
7
35
3
36
4
37
8
38
6
39
14
40
3
41
14
42
2
43
3
44
4
45
10
46
7
47
5
48
13
49
5
64.96%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
7
diversityRatio
0.40930232558139534
totalSentences
215
uniqueOpeners
88
75.19%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
3
totalSentences
133
matches
0
"Even the knife handle looked"
1
"Then it swung back and"
2
"Again it moved."
ratio
0.023
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
23
totalSentences
133
matches
0
"She stopped with one boot"
1
"His shadow slid another inch"
2
"Their shutters stood open on"
3
"She worked from his boots"
4
"She indicated the scars crossing"
5
"His pen stopped moving."
6
"It lay undisturbed around Venn’s"
7
"It resembled an eye with"
8
"Its black needle quivered against"
9
"She crossed to the tunnel"
10
"She lowered the compass until"
11
"She looked down."
12
"It crossed the blood, slipped"
13
"She set the lamp down."
14
"She tucked a curl behind"
15
"It did not soak into"
16
"It went somewhere."
17
"She had ignored the second"
18
"She dropped it."
19
"It struck the platform and"
ratio
0.173
65.26%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
105
totalSentences
133
matches
0
"The dead man’s shadow moved"
1
"She stopped with one boot"
2
"Marek Venn remained propped against"
3
"Someone had folded his right"
4
"His shadow slid another inch"
5
"DS Fenner looked up from"
6
"Stalls crowded the spaces between"
7
"Their shutters stood open on"
8
"Another advertised curses, wholesale only."
9
"Quinn stepped around the blood."
10
"Copper stung her nostrils, undercut"
11
"A bone token clicked in"
12
"The transport officer had used"
13
"Quinn had checked before coming"
14
"Venn had promised her a"
15
"Quinn crouched beside him."
16
"She worked from his boots"
17
"She indicated the scars crossing"
18
"Fenner leaned closer."
19
"His pen stopped moving."
ratio
0.789
37.59%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
1
totalSentences
133
matches
0
"Now dried blood crusted his"
ratio
0.008
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
42
technicalSentenceCount
0
matches
(empty)
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
14
fancyCount
0
fancyTags
(empty)
dialogueSentences
81
tagDensity
0.173
leniency
0.346
rawRatio
0
effectiveRatio
0
92.1559%