NC Bench
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Run: 2026-09-23-01M36RC42A2TBWS190GE7PJ2XV
Run Details
Model:
GPT-6 Luna (Reasoning, High)
Test:
Bad Writing Habits
Scenario:
Mystery: examining a crime scene
Duration:
1m 17s
Cost:
$0.003256
Provider:
OpenAI
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)
82.77%
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)
52.42%
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)
56.32%
Sentence opener variety
(details)
30.58%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
19.63%
Subject-first sentence starts
(details)
0.00%
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)
88.0574%
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
Quinn ducked beneath the police
tape and stopped the photographer with one raised hand. “Don’t cross the blood.”
The photographer froze, one boot
poised above a dark red smear.
Quinn stepped past her and
took in the abandoned ticket hall beneath Camden: peeling station signs, shuttered market stalls and a dead man seated upright inside the old ticket booth.
DS Malik waited beside the
booth door, gloved hands on his hips.
His expression had the stubborn
calm of a man who’d already solved the case. “Market seller,” he said. “Name’s Orson Vale. Stab wound to the chest. Door locked from the inside. No one saw anyone leave.”
Quinn glanced at the brass
bolt.
It sat snug in its
socket. “And your theory?” “One of the clique’s runners came in through the service tunnel, killed him, then worked the bolt with a wire.”
Malik pointed to a thin
scratch beside the lock. “The usual trick. Robbery gone wrong.” “Where’s the wire?” “Not found yet.” “So the usual trick without the trick.” Malik’s jaw tightened. Behind him, a uniformed constable kept watch over Eva Kowalski, whose worn leather satchel bulged with books.
Her curly red hair had
escaped its pins.
She tucked a strand behind
her left ear, then looked through the ticket booth’s smeared glass. “I found him,” Eva said. “I didn’t touch the body.” “Convenient,” Malik replied. “Not especially. I came to collect a stolen folio. Mr Vale agreed to sell it.” Quinn studied her. Round glasses. Freckles. Green eyes that kept returning to the body.
Eva had the stillness of
someone counting details and disliking the sum. “Which folio?” “A page from a seventeenth-century account of the Veil Market. It disappeared from the Museum’s restricted archives three weeks ago.” “You work in those archives.” “I do. That’s why I noticed it was gone.”
Quinn looked past her, at
the market stalls.
The Veil Market had opened
in the station’s old ticket hall, a knot of narrow counters and black canvas awnings beneath the broken station clock.
Vendors had packed away their
wares when the police arrived. A few watched from the far end, faces pale between the curtains. Enchanted metal, banned alchemical powders, information sold in whispers.
The place had a sharper
sense of
its own laws than any street in London.
A bone token still pressed
against Quinn’s palm.
She’d used it to pass
the Market’s entry gate.
Its ridged edge had left
a crescent in her skin. “Open the booth,” she said. Malik nodded to the constable, who worked the key into the outer lock. The door swung inwards with a dry scrape. The air inside smelled of wet iron and old pennies. Vale sat slumped against the booth’s rear wall. A narrow knife protruded from his chest, its handle pointing towards his chin.
His right hand curled around
it. A shallow pool of blood spread beneath his chair. Quinn did not enter.
She leaned close to the
glass. “Where’s the blood from the wound?” “Under the body,” Malik said. “Some of it.”
She crouched and followed the
smear across the floor. The photographer’s boot had nearly landed in it. The stain ran from the booth threshold to the brass rail, then stopped in a neat crescent. No drops led back to the corpse. “Someone dragged the knife out?” Malik asked. “Then the blood would lead to the body.”
She pointed to the booth
floor. Dust coated the corners and
traced
the chair legs. Beneath Vale, the tiles showed a clean, dark oval, though no drag marks disturbed the dust between it and the door. “His chair hasn’t moved,” Malik said. “Not since the dust settled.” Quinn straightened and examined Vale through the glass again.
His coat was dark with
blood at the chest, but the cloth around the knife remained almost dry. The stain looked painted on, a thick red patch with a sharp edge.
She crouched to look beneath
the booth’s lower frame. There, on the inner side of the glass, a single blood droplet clung upside down. “Photograph that.” The photographer took the shot from outside the tape. Malik frowned. “Could’ve splashed.” “From where?” He followed her gaze. The droplet hung beneath the glass shelf, not above it. Nothing else marked the shelf or the glass. The blood on the floor had settled in a shallow pool. It had not splashed. Quinn examined the knife.
Its blade vanished into Vale’s
coat, but no blood marked the handle.
His fingers closed around the
grip without staining the skin.
Even the creases at his
knuckles looked clean. “He’s holding it,” Malik said. “He’s arranged around it.” “That’s a distinction?” “It is if the hand never tightened.”
She tapped the glass with
one knuckle. The sound came back hollow. Quinn turned to the booth’s rear wall, where the tiles had
been scrubbed
until they shone. One tile sat a fraction proud of its neighbours, its edge dark with grime. “Who checked behind this wall?” Malik gave a short laugh. “It’s a wall.” Quinn glanced at the old station map bolted beside the booth. “This used to be the north service passage.” “Sealed in 1978,” Eva said.
She stepped closer, and the
constable caught her arm.
She looked down at his
hand until he let go. “The original plans show an archway behind the booth. It led to the signal room.” “Why didn’t you say so before?” “You didn’t ask about the wall.” Quinn moved to the map. Someone had scratched away the station name, but the lines remained.
She traced the old passage
with a finger. It ended exactly behind Vale’s chair. “Get the plans,” Malik told the constable. “No need,” Eva said. “The passage was bricked over. I checked the surviving survey when the Market moved here.” “The Market moves?” “Every full moon.” Eva’s eyes
flicked
to the dead man. “Or it did before this.” Malik gave Quinn a look that asked her to indulge the witness, then turned towards the booth. “The body’s the only thing that matters.” “Then explain the prints.” He stopped. Quinn pointed to the dust around the booth. Boot marks crossed the entrance, all made by the police and the photographer. Inside, the dust lay unbroken except beneath the chair. Vale’s shoes carried a crust of grey grit, but not the pale station dust. One sole showed a fleck of blue paint. “Those are railway maintenance boots,” Malik said. “Not in here. Look at the tread.” She took a torch from her belt and angled the beam across the sole. The pattern showed fine diagonal cuts, nothing like the broad blocks of a maintenance boot. A thin strip of blue enamel clung to the heel. “His shoes came from the old signal room,” Eva said. “The doors there had blue enamel before they sealed the passage.” Malik turned on her. “You said the passage was bricked up.” “It was.” “Then how did he get in?” Eva’s fingers found her hair again. This time she left the strand twisted round her finger. Quinn unlatched the evidence tray on a nearby table. A small brass compass lay inside, its verdigris casing
etched
with tight protective sigils. The needle pointed straight at the proud tile. “Was that the seller’s?” she asked. Eva leaned forward. “It’s a Veil Compass. A Shade artisan made it. It points towards the nearest rift.” “Rift meaning a door?” “Not a door.” Malik shook his head. “We’re not basing a murder inquiry on a market toy.” Quinn lifted the tray, keeping her gloved hands clear of the compass. The needle held its line towards the wall. “Then we’ll test the wall.” She ran the edge of her torch along the grout. The proud tile shifted under pressure. Behind it, the wall gave a low, wet click. Malik drew his pistol. The station lamps hummed. Beyond the cordon, a vendor’s shutter slammed shut. “Back away,” Quinn said. Malik kept his weapon trained on the tile. “There’s someone on the other side.” “There is no other side,” Eva said. A thin black seam appeared in the grout, then widened. The tile split from top to bottom. Cold air slipped through and lifted the fine hairs on Quinn’s hands. It carried the smell of burnt copper. The compass needle
began to
spin. Quinn grabbed Malik’s sleeve as he stepped closer. A voice came through the crack. “Harlow.” The pistol dipped. Malik stared at her. Eva’s mouth fell open. Quinn knew the voice. She had heard it in rain-slick alleys, in crowded pubs, through a crackling radio, and once in a silent room where DS Morris had vanished. The seam tore wider. A pale hand shot through the gap and seized Malik by the throat.
created_at
"2026-09-23T09:08:30.429Z"
9/23/2026, 9:08:30 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
23546
moderation_latency
(null)
generation_time
76905
tokens_prompt
4492
tokens_completion
3239
native_tokens_prompt
4157
native_tokens_completion
6429
native_tokens_completion_images
0
native_tokens_reasoning
4529
native_tokens_cached
4154
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
"completed"
service_tier
"default"
usage
0.00325634
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1790154510-bGug49jDc015MOJlxf8Y"
session_id
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preset_id
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api_type
"completions"
id
"gen-1790154510-bAeyPd0DWA44BvKPYmrD"
upstream_id
"resp_0502561110c63b59016ab3970e9bfc87d18d930e360d062ed6"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_0502561110c63b59016ab3970e9bfc87d18d930e360d062ed6"
is_byok
false
latency
830
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.00325634
cache_discount
0.00037386
upstream_inference_cost
0
provider_name
"OpenAI"
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
totalTags
18
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
64
tagDensity
0.281
leniency
0.563
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1451
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)
82.77%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1451
totalAiIsms
5
found
0
word
"sense of"
count
1
1
word
"traced"
count
2
2
word
"flicked"
count
1
3
word
"etched"
count
1
highlights
0
"sense of"
1
"traced"
2
"flicked"
3
"etched"
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
128
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
1
narrationSentences
128
filterMatches
(empty)
hedgeMatches
0
"began to"
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
174
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
1451
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
19
unquotedAttributions
0
matches
(empty)
52.42%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
65
wordCount
1076
uniqueNames
10
maxNameDensity
1.95
worstName
"Malik"
maxWindowNameDensity
3
worstWindowName
"Malik"
discoveredNames
Camden
1
Malik
21
Quinn
20
Eva
11
Kowalski
1
Veil
1
Market
2
London
1
Vale
6
Morris
1
persons
0
"Camden"
1
"Malik"
2
"Quinn"
3
"Eva"
4
"Kowalski"
5
"Market"
6
"Vale"
7
"Morris"
places
0
"London"
globalScore
0.524
windowScore
0.667
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
89
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
1451
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
174
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
94
mean
15.44
std
14.77
cv
0.957
sampleLengths
0
14
1
4
2
41
3
26
4
22
5
12
6
3
7
35
8
3
9
3
10
7
11
44
12
10
13
3
14
15
15
26
16
2
17
20
18
5
19
9
20
79
21
27
22
5
23
21
24
46
25
10
26
6
27
5
28
3
29
41
30
7
31
8
32
36
33
6
34
5
35
49
36
15
37
2
38
9
39
4
40
2
41
37
42
34
43
5
44
4
45
3
46
7
47
42
48
5
49
8
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
1
totalSentences
128
matches
0
"been scrubbed"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
177
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
174
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1077
adjectiveStacks
0
stackExamples
(empty)
adverbCount
22
adverbRatio
0.02042711234911792
lyAdverbCount
3
lyAdverbRatio
0.002785515320334262
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
174
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
174
mean
8.34
std
5.08
cv
0.609
sampleLengths
0
14
1
4
2
11
3
30
4
12
5
14
6
4
7
18
8
6
9
6
10
3
11
29
12
6
13
3
14
3
15
7
16
3
17
17
18
8
19
16
20
5
21
5
22
3
23
15
24
3
25
2
26
1
27
8
28
12
29
2
30
20
31
5
32
9
33
8
34
25
35
10
36
12
37
9
38
15
39
8
40
9
41
10
42
5
43
13
44
8
45
10
46
8
47
13
48
6
49
9
56.32%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
7
diversityRatio
0.3620689655172414
totalSentences
174
uniqueOpeners
63
30.58%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
1
totalSentences
109
matches
0
"Even the creases at his"
ratio
0.009
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
25
totalSentences
109
matches
0
"His expression had the stubborn"
1
"It sat snug in its"
2
"Her curly red hair had"
3
"She tucked a strand behind"
4
"She’d used it to pass"
5
"Its ridged edge had left"
6
"His right hand curled around"
7
"She leaned close to the"
8
"She crouched and followed the"
9
"She pointed to the booth"
10
"His coat was dark with"
11
"She crouched to look beneath"
12
"He followed her gaze."
13
"It had not splashed."
14
"Its blade vanished into Vale’s"
15
"His fingers closed around the"
16
"She tapped the glass with"
17
"She stepped closer, and the"
18
"She looked down at his"
19
"She traced the old passage"
ratio
0.229
19.63%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
96
totalSentences
109
matches
0
"Quinn ducked beneath the police"
1
"The photographer froze, one boot"
2
"Quinn stepped past her and"
3
"DS Malik waited beside the"
4
"His expression had the stubborn"
5
"Quinn glanced at the brass"
6
"It sat snug in its"
7
"Malik pointed to a thin"
8
"Malik’s jaw tightened."
9
"Her curly red hair had"
10
"She tucked a strand behind"
11
"Quinn studied her."
12
"Eva had the stillness of"
13
"Quinn looked past her, at"
14
"The Veil Market had opened"
15
"Vendors had packed away their"
16
"The place had a sharper"
17
"A bone token still pressed"
18
"She’d used it to pass"
19
"Its ridged edge had left"
ratio
0.881
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
109
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
44
technicalSentenceCount
0
matches
(empty)
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
18
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
16
fancyCount
0
fancyTags
(empty)
dialogueSentences
64
tagDensity
0.25
leniency
0.5
rawRatio
0
effectiveRatio
0
88.0574%