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Run: 2026-09-23-01M36RCZNK6H8FM092E9MTZ3PA
Run Details
Model:
GPT-6 Luna (Reasoning, High)
Test:
Bad Writing Habits
Scenario:
Thriller: chase through city streets
Duration:
39.6s
Cost:
$0.001881
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)
80.29%
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)
41.47%
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)
47.07%
Sentence opener variety
(details)
41.41%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
9.69%
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)
87.3309%
Overall
Model input
System
You are an expert and award-winning novel writer in the dark Thriller 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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </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 thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 caught the suspect’s coat
at the mouth of the alley.
The seam tore beneath her
fist.
He spun free, and a
knife flashed between them.
She struck his wrist against
the brick. Steel clattered into a puddle.
He drove his shoulder into
her chest and bolted. “Stop.”
He glanced back, rain running
off his close-cropped hair.
A pale scar split his
lower lip.
Then he sprinted through the
narrow alley, past bins and a stack of broken chairs. Quinn went after him.
Her boots slipped on the
slick paving stones, but she kept her balance and her pace.
The suspect shoved through a
service gate and slammed it behind him.
She hit the bars with
her shoulder.
The gate swung open, and
its rusted latch tore at her coat.
He crossed the next street
against traffic. A taxi horn blared.
The driver stamped on the
brakes as the suspect vaulted the bonnet. Quinn followed over the car, landing hard enough to jar her teeth. “Police! Clear the road!” People scattered from her path.
The suspect cut between a
kebab shop and a closed chemist, his dark coat snapping behind him. He knew the streets. Each turn came before Quinn could see it, each gap narrow enough to slow her. At the end of the block, he ducked beneath a chain strung across a service lane. Quinn raised it with one hand and drove through.
Her left wristwatch knocked against
the chain. The worn leather strap had cracked along one hole.
She ignored the sting where
the buckle scraped her skin and kept moving. The suspect reached a boarded entrance beneath a row of flats.
He kicked the plywood panel
beside the door.
It swung inward on one
hinge. Quinn drew her pistol. “Hands where I can see them.” The door swallowed him.
She followed into a stairwell
that smelt of wet plaster and old smoke. The suspect’s
footsteps
hammered below. Quinn took the stairs two at a time, pistol angled down, her free hand skimming the rail. At the bottom, she found a steel door hanging open. A faded sign above it read CAMDEN TUBE, STAFF ONLY. The suspect had reached the turnstiles. He dug into his pocket, pulled out a small white object and pressed it to a brass plate on the wall. The turnstile clicked. Quinn closed the gap. He slipped through. The gate
began to
swing shut behind him.
She lunged, but the brass
plate had gone dark. A slot opened in its centre, no wider than a finger. The suspect stopped on the other side.
He watched her through the
bars. “Come on, Detective.” “Name.”
He smiled, then ran down
the platform steps. The gate shut between them. Quinn lowered her pistol and examined the plate. The slot had vanished.
She looked at the wet
floor, the turnstile, the deep marks his shoes had left in the dust. No second exit. No radio signal. No backup below her, not yet. Something small glinted near the gate. She crouched. A sliver of bone lay on the tiles, carved with a circle of notches. The same white token the suspect had pressed to the plate. Quinn picked it up with a gloved hand. A warm
pulse
thudded through the bone. She dropped it. The tunnel behind her offered a clear retreat. The street above held her car, her radio and a full view of the entrance. Below, the suspect had vanished into a place with no map and no warrant. Quinn looked at the closed gate, then at the token. “Fine.” She picked it up again and pressed it to the plate. The metal warmed under her palm. The slot opened. She pushed the bone inside. A lock turned with a heavy clunk. The gate swung wide. Quinn holstered her pistol, drew the torch from her belt and stepped through. The gate slammed shut at her back. Her radio gave a burst of static. “Control, this is Quinn. I’m beneath Camden station. Suspect heading south on the platform. Send support to the entrance.” Static answered. Then a faint click. She tried the channel again. Nothing. The platform stretched into darkness. Old tiles climbed the walls in cracked white rows, their grime marked by years of fingerprints. A strip of lamps glowed farther down, though no wires ran to them. Beyond the platform edge, the track vanished beneath a low arch. Voices drifted from the tunnel. Quinn followed them. The steps ended at a second gate. It stood open. Beyond it, the platform had changed. Stalls crowded the old tracks, their awnings stretched between brick pillars. One sold glass jars that held blue flames. Another displayed rows of silver teeth on black
velvet
. A woman in a fox-fur collar weighed a lump of something that twitched on a brass scale. The air carried the smell of burnt sugar, hot metal and something sour beneath it. Quinn stopped at the gate. A man at the nearest stall looked up from a tray of black bottles. His eyes were cloudy white. “Bone token.” She showed him the sliver. “Then keep moving. No uniforms in the Market.” She opened her coat enough to show her badge. His cloudy eyes shifted to it. The chatter along the platform thinned. A few faces turned her way, then away again. “Metropolitan Police,” she said. “I’m looking for a man in a dark coat.” “Everyone’s looking for someone.” “He came through here less than a minute ago.” The stallkeeper pushed his bottles beneath the counter. “Then you’re late.” Quinn
scanned
the crowd. The suspect’s coat showed between two stalls. He
was forcing
his way towards the far end of the platform. She ran. People shoved aside. Someone cursed as Quinn clipped a table piled with small brass boxes. One box sprang open. A swarm of pale insects poured out and took to the air. “Police! Stay back.” A woman grabbed Quinn’s sleeve. Quinn tore free without breaking stride. The suspect looked over his shoulder, reached into his coat and flung a glass vial at the floor. It
shattered
at her feet. Black smoke burst up. It burned her eyes and filled her mouth with a bitter taste. Quinn ducked behind a stone pillar. She covered her nose with her sleeve and listened. Shoes scraped across grit, then clanged on metal. She came out low, sweeping her torch across the floor. A wet track led towards the abandoned platform at the south end. The suspect had reached a narrow passage behind a stall hung with strips of dried skin. Quinn shoved through the display. The strips brushed her cheeks, cold and slick. On the other side, the passage opened onto an empty platform. He stood beside an old ticket machine, one hand pressed to his ribs. Blood darkened his coat. Quinn raised her pistol. “Turn around. Hands on the wall.” He obeyed, but his shoulders kept rising and falling. “You’ve made a mess of my evening,” he said. “You brought a knife to a foot chase.” “I dropped it.” “You dropped it when I broke your wrist.” He looked over his shoulder. “You’re not meant to be here.” “People keep telling me that.” Quinn stepped closer. He had no knife now, but his right hand stayed tight against his side. She watched his fingers. “Who sent you?” “No one.” “Try again.” His laugh came out as a cough. Blood marked his lower lip. “You followed me all the way down. You had a choice.” “I still do.” “Not the one that matters.” Quinn reached for his wrist. He jerked his hand away and opened his fist. A strip of old photograph lay in his palm. Its torn edge had browned with age. Quinn recognised the face before she saw the name written across the bottom. MORRIS. Her pistol stayed level. The photograph shook once in the suspect’s hand. “Where did you get that?” “From a man who said you’d ask.” “Who?” “He said you’d know his voice.” Quinn’s jaw tightened. “You’re coming with me.” “Up there?” He nodded towards the dark passage. “The door won’t open for you twice.” A shrill bell rang across the market. Every stallkeeper stopped moving. The crowd fell silent. The stall lights guttered, one by one, down the platform. Quinn seized the suspect’s coat and shoved him against the ticket machine. “Who rang that?” His eyes fixed on the tunnel behind her. A loudspeaker crackled above the platform. Dust sifted from its rusted grille. “Quinn.” The voice belonged to DS Morris. Quinn’s grip slackened. The suspect drove his elbow into her ribs and tore free. He sprinted towards the tunnel. The loudspeaker clicked again. “Don’t let him reach the train.” A headlamp flared in the sealed tunnel. The suspect stopped dead. Quinn lifted her pistol, but the beam swept over him and pinned her in its white glare. A train horn split the station. The crowd screamed and scattered. Quinn lunged for the suspect as the platform tiles buckled beneath their feet. Something struck the other side of the tunnel wall. Once. Then again. A crack
raced
through the brickwork, straight towards them.
created_at
"2026-09-23T09:08:58.694Z"
9/23/2026, 9:08:58 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
15002
moderation_latency
(null)
generation_time
39498
tokens_prompt
4484
tokens_completion
2713
native_tokens_prompt
4132
native_tokens_completion
3678
native_tokens_completion_images
0
native_tokens_reasoning
1753
native_tokens_cached
4129
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
0.00188059
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1790154538-X4OE1jZ62D1SmLwR6Hbh"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790154538-22qjnz8J2c6dmLw1mYcL"
upstream_id
"resp_0a879fbacb9cfb66016ab3972ad14887d1b56d7a9725dc8610"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_0a879fbacb9cfb66016ab3972ad14887d1b56d7a9725dc8610"
is_byok
false
latency
568
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.00188059
cache_discount
0.00037161
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
3
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
38
tagDensity
0.079
leniency
0.158
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1522
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)
80.29%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1522
totalAiIsms
6
found
0
word
"footsteps"
count
1
1
word
"pulse"
count
1
2
word
"velvet"
count
1
3
word
"scanned"
count
1
4
word
"shattered"
count
1
5
word
"raced"
count
1
highlights
0
"footsteps"
1
"pulse"
2
"velvet"
3
"scanned"
4
"shattered"
5
"raced"
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
170
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
1
narrationSentences
170
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
205
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
21
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1522
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
5
unquotedAttributions
0
matches
(empty)
41.47%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
30
wordCount
1336
uniqueNames
2
maxNameDensity
2.17
worstName
"Quinn"
maxWindowNameDensity
3.5
worstWindowName
"Quinn"
discoveredNames
Quinn
29
Morris
1
persons
0
"Quinn"
1
"Morris"
places
(empty)
globalScore
0.415
windowScore
0.5
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
110
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
1522
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
205
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
109
mean
13.96
std
13.41
cv
0.96
sampleLengths
0
26
1
21
2
1
3
31
4
51
5
35
6
4
7
41
8
25
9
29
10
25
11
4
12
6
13
4
14
55
15
27
16
3
17
4
18
31
19
13
20
3
21
1
22
8
23
5
24
42
25
6
26
35
27
7
28
3
29
47
30
1
31
11
32
14
33
11
34
20
35
7
36
19
37
6
38
6
39
45
40
5
41
3
42
61
43
15
44
5
45
19
46
2
47
5
48
8
49
9
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
0
totalSentences
170
matches
(empty)
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
1
totalVerbs
224
matches
0
"was forcing"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
205
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1338
adjectiveStacks
0
stackExamples
(empty)
adverbCount
24
adverbRatio
0.017937219730941704
lyAdverbCount
1
lyAdverbRatio
0.0007473841554559044
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
205
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
205
mean
7.42
std
4.2
cv
0.565
sampleLengths
0
11
1
6
2
9
3
7
4
5
5
9
6
1
7
9
8
7
9
15
10
4
11
16
12
12
13
7
14
12
15
7
16
4
17
12
18
12
19
4
20
5
21
17
22
4
23
15
24
16
25
9
26
7
27
9
28
13
29
11
30
8
31
6
32
4
33
6
34
4
35
13
36
5
37
17
38
10
39
10
40
6
41
21
42
3
43
4
44
3
45
8
46
9
47
11
48
7
49
6
47.07%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
6
diversityRatio
0.2634146341463415
totalSentences
205
uniqueOpeners
54
41.41%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
2
totalSentences
161
matches
0
"Then he sprinted through the"
1
"Then a faint click."
ratio
0.012
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
46
totalSentences
161
matches
0
"He spun free, and a"
1
"She struck his wrist against"
2
"He drove his shoulder into"
3
"He glanced back, rain running"
4
"Her boots slipped on the"
5
"She hit the bars with"
6
"He crossed the next street"
7
"He knew the streets."
8
"Her left wristwatch knocked against"
9
"She ignored the sting where"
10
"He kicked the plywood panel"
11
"It swung inward on one"
12
"She followed into a stairwell"
13
"He dug into his pocket,"
14
"He slipped through."
15
"She lunged, but the brass"
16
"He watched her through the"
17
"He smiled, then ran down"
18
"She looked at the wet"
19
"She dropped it."
ratio
0.286
9.69%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
145
totalSentences
161
matches
0
"Quinn caught the suspect’s coat"
1
"The seam tore beneath her"
2
"He spun free, and a"
3
"She struck his wrist against"
4
"Steel clattered into a puddle."
5
"He drove his shoulder into"
6
"He glanced back, rain running"
7
"A pale scar split his"
8
"Quinn went after him."
9
"Her boots slipped on the"
10
"The suspect shoved through a"
11
"She hit the bars with"
12
"The gate swung open, and"
13
"He crossed the next street"
14
"A taxi horn blared."
15
"The driver stamped on the"
16
"Quinn followed over the car,"
17
"People scattered from her path."
18
"The suspect cut between a"
19
"He knew the streets."
ratio
0.901
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
161
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
51
technicalSentenceCount
1
matches
0
"A woman in a fox-fur collar weighed a lump of something that twitched on a brass scale."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
3
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
2
fancyCount
0
fancyTags
(empty)
dialogueSentences
38
tagDensity
0.053
leniency
0.105
rawRatio
0
effectiveRatio
0
87.3309%