NC Bench
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Run: 2026-09-23-01M36NMM375XCQ3K6W13XDGPKX
Run Details
Model:
GPT-6 Luna
Test:
Bad Writing Habits
Scenario:
Thriller: chase through city streets
Duration:
25.0s
Cost:
$0.000909
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)
78.09%
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)
32.90%
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)
44.54%
Sentence opener variety
(details)
100.00%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
41.70%
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)
89.9075%
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 hit the kerb hard, caught herself on a parked van and kept running.
The suspect had just slipped
through a gap between a shuttered betting shop and a kebab place, his dark coat snapping behind him. He looked back once.
Quinn saw the white slash
of his face, then he vanished into the rain. “Stop!” He didn’t. Her boots slapped through water.
Soho’s narrow streets funnelled the
chase between bins and locked gates, past a doorway where a man smoked beneath a strip of awning.
Quinn shoved through a knot
of late drinkers. Someone swore. A glass broke. The suspect cut left.
Quinn followed, one hand close
to her coat, the other braced against brick as she took the corner.
Her leather watch snagged on
the wall.
The strap pulled at her
wrist. She didn’t slow.
A black cab rolled across
the end of the lane.
The suspect darted in front
of it.
The driver leaned on the
horn, and the sound bounced off the buildings. Quinn ran behind the cab. “Police!”
The suspect reached the next
street and ducked under the green neon sign of the Raven’s Nest. Quinn knew the bar.
She’d stood outside it twice
in the past month, watching who went in and who came out. Old maps in the windows. Black-and-white photographs along the walls. The sort of place where nobody
looked surprised
by a stranger’s face, so long as the stranger paid. The door swung shut behind the suspect. Quinn hit it with her shoulder. Warm air and the smell of stout met her. The bar fell quiet in a single, practised movement. Conversations stopped. Heads turned. The barman polished a glass that didn’t need polishing. “Which way?” Nobody answered. Quinn took in the room: the exits, the windows, the hands under tables. Military habit. Eighteen years in the Met had taught her that
silence
could hold more information than a witness statement. A woman at the far end lifted her glass and pointed with it. “Back.” Quinn crossed the room. A bookshelf filled one wall, its shelves crowded with leather spines and dusty atlases. One book sat crooked. She pressed it. The shelf gave way. A narrow passage opened behind it. The suspect had left the door swinging. Quinn drew her warrant card and pushed through. The passage ended at a steep flight of stone steps. Damp air breathed up from below.
Somewhere beneath the bar, water
dripped with a steady tick-tock. Quinn reached for her radio. “Control, Quinn. Pursuit continuing underground from the Raven’s Nest. Send units to—” Static crackled across the channel.
Then a thin voice, buried
under the hiss. “Quinn. Don’t follow.” She froze. The voice belonged to DS Morris.
Her partner had been dead
for three years. The radio clicked. Silence returned. Quinn lowered it, jaw tight. At the bottom of the stairs, a door stood open. Beyond it, the suspect’s
footsteps
rang on metal. She went down. The stairs narrowed, forcing her to turn her shoulders. Moisture slicked the stone. Quinn kept one hand on the rail and the other near her holster. At the bottom, she found a service corridor under the street, lined with pipes and old cable. The suspect’s coat flashed past an open fire door. A rumble rolled through the ground. Not a train. Too slow, too deep. Quinn stepped into the corridor. A painted arrow pointed towards CAMDEN. Someone had crossed it out and drawn a crescent moon beneath. The corridor widened at a rusted gate. Behind it, a set of tiled steps descended into darkness. The suspect stood at the bottom, watching her.
He held something between two
fingers. A small white disc. Bone, carved into a token. “Put it down.” He smiled without
warmth
. “You’ve got no idea what’s down here.” “Then you’ll have time to explain it in custody.”
He turned and pressed the
token into a dark slot beside the tiled arch. A lock clicked. The old gate shuddered open. Quinn took two steps down. “Last chance.” The suspect slipped through the arch. The gate
began to
swing shut. Quinn lunged, caught the bars, and jammed her boot in the gap. Metal scraped leather.
She forced the gate back
and ducked through. Beyond it lay an abandoned Tube station. The platform stretched beneath Camden, its tiles stained black at the seams. Market stalls crowded the track bed and platform edge, lit by lamps that burned blue or green.
Their light picked out glass
jars, brass instruments, knives, and objects Quinn didn’t want to name. Voices overlapped in several languages. A woman laughed, and every lamp on the platform went dark for a heartbeat. Then they returned. The station smelled of wet stone, burnt sugar and something raw beneath both. Quinn’s hand found her radio again. It gave her only static. The suspect disappeared into the crowd. A tall man in a red scarf stepped into her path. His eyes
were clouded
white, but he looked straight at her. “Token?” “Police.” He showed his teeth. “That wasn’t the question.” Quinn shoved past him. His fingers brushed her sleeve. Cold shot up her arm, so sudden her hand clenched.
She spun, but he had
already melted into the crowd. A dozen faces watched her cross the platform. Some looked human. Some had the wrong number of shadows.
She kept her eyes on
the suspect’s coat.
He pushed between two stalls
and knocked over a tray of silver rings. The seller caught his wrist. “You paid for those.” “Not now.” “Then pay in blood.” The suspect wrenched free, leaving a red smear across the seller’s palm. The seller licked it clean. Quinn drew her weapon. “Police! Hands where I can see them!” The market fell quiet. A man behind a stall stopped grinding something in a stone bowl. A little girl with black eyes pulled her hood over her face. The suspect kept moving. Quinn aimed at his back, then lowered the muzzle. Too many bodies.
Too many ways for a
missed shot to find someone else. “Stop, or I’ll fire!” He glanced over his shoulder. The crowd parted for him, not for her. Quinn closed the distance. A stall blocked the path, piled with bottles whose contents stirred when she passed. She vaulted the counter. Glass cracked under her boot. Something inside one bottle tapped against the neck. The seller lunged. Quinn struck his arm aside and kept running. At the platform’s far end, a service door stood ajar. The suspect reached it and slipped through. Quinn grabbed the door before it shut. A bone token lay on the floor beside the threshold, slick with blood. She picked it up. The surface carried a fresh cut, still wet. Not the suspect’s blood. The mark had three short lines that crossed a circle. She’d seen the same shape in a photograph from the file on Morris’s last case, drawn on the inside of a station locker after her partner vanished. Behind her, the market noise returned in a hush. A man in a dark suit waited across the platform. His face looked
familiar
, though Quinn couldn’t place it. He held up one finger and pressed it to his lips. The service door banged open from the other side. The suspect stood in the gap, breathing hard. A strip of blood ran from his temple to his jaw. “You found the wrong man,” he said. Quinn levelled her weapon. “You’re the one I followed.” “No.” He stared at the token in her hand. “You’re the one it followed.” A sharp metallic clang rang from the tunnel behind him. The lights along the platform went out, one by one,
racing
towards Quinn. The suspect reached for her. Quinn raised the token. Every stall shutter slammed down at once. The crowd screamed. The man in the dark suit bolted for the stairs. From the black tunnel came the sound of running feet. Quinn heard Morris’s voice in the radio, clear as breath against her ear. “Don’t let it through.” The suspect seized her wrist. Something struck the other side of the service door. The metal buckled inwards. Quinn twisted free and brought her gun up as the door split along its centre seam.
created_at
"2026-09-23T08:20:43.249Z"
9/23/2026, 8:20:43 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1627
moderation_latency
(null)
generation_time
25002
tokens_prompt
4484
tokens_completion
2069
native_tokens_prompt
4132
native_tokens_completion
1735
native_tokens_completion_images
0
native_tokens_reasoning
0
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
0.00090909
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790151643-NZNL1N5ea7Kvb7XWHGLc"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790151643-E4p3fwf7vmbl3AYRbGRA"
upstream_id
"resp_0c1524b9df2fe368016ab38bdb564887d18ddabba4afd34cc1"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_0c1524b9df2fe368016ab38bdb564887d18ddabba4afd34cc1"
is_byok
false
latency
340
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.00090909
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
2
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
23
tagDensity
0.087
leniency
0.174
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1369
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)
78.09%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1369
totalAiIsms
6
found
0
word
"silence"
count
2
1
word
"footsteps"
count
1
2
word
"warmth"
count
1
3
word
"familiar"
count
1
4
word
"racing"
count
1
highlights
0
"silence"
1
"footsteps"
2
"warmth"
3
"familiar"
4
"racing"
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
1
narrationSentences
162
matches
0
"looked surprised"
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
1
hedgeCount
1
narrationSentences
162
filterMatches
0
"watch"
hedgeMatches
0
"began to"
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
183
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
27
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1369
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
3
unquotedAttributions
0
matches
(empty)
32.90%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
38
wordCount
1281
uniqueNames
7
maxNameDensity
2.34
worstName
"Quinn"
maxWindowNameDensity
3
worstWindowName
"Quinn"
discoveredNames
Raven
1
Nest
1
Met
1
Morris
3
Tube
1
Camden
1
Quinn
30
persons
0
"Raven"
1
"Morris"
2
"Quinn"
places
0
"Camden"
globalScore
0.329
windowScore
0.667
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
98
glossingSentenceCount
1
matches
0
"something between two fingers"
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
0
per1kWords
0
wordCount
1369
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
183
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
97
mean
14.11
std
13
cv
0.921
sampleLengths
0
14
1
41
2
1
3
2
4
41
5
4
6
34
7
30
8
5
9
1
10
17
11
49
12
7
13
6
14
31
15
2
16
2
17
33
18
13
19
1
20
25
21
4
22
13
23
8
24
31
25
12
26
13
27
3
28
2
29
6
30
8
31
5
32
23
33
3
34
52
35
13
36
5
37
34
38
8
39
15
40
3
41
4
42
7
43
9
44
22
45
5
46
2
47
12
48
23
49
7
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
1
totalSentences
162
matches
0
"were clouded"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
222
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
183
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1284
adjectiveStacks
0
stackExamples
(empty)
adverbCount
25
adverbRatio
0.019470404984423675
lyAdverbCount
1
lyAdverbRatio
0.000778816199376947
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
183
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
183
mean
7.48
std
4.6
cv
0.615
sampleLengths
0
14
1
23
2
4
3
14
4
1
5
2
6
5
7
23
8
8
9
2
10
3
11
4
12
18
13
7
14
6
15
3
16
10
17
7
18
13
19
5
20
1
21
17
22
4
23
17
24
5
25
5
26
18
27
7
28
6
29
9
30
9
31
2
32
2
33
9
34
2
35
2
36
13
37
2
38
18
39
13
40
1
41
4
42
14
43
4
44
3
45
4
46
6
47
7
48
8
49
10
44.54%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
10
diversityRatio
0.2896174863387978
totalSentences
183
uniqueOpeners
53
100.00%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
6
totalSentences
153
matches
0
"Somewhere beneath the bar, water"
1
"Then a thin voice, buried"
2
"Too slow, too deep."
3
"Then they returned."
4
"Too many bodies."
5
"Too many ways for a"
ratio
0.039
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
27
totalSentences
153
matches
0
"He looked back once."
1
"Her boots slapped through water."
2
"Her leather watch snagged on"
3
"She didn’t slow."
4
"She’d stood outside it twice"
5
"She pressed it."
6
"Her partner had been dead"
7
"She went down."
8
"He held something between two"
9
"He smiled without warmth."
10
"He turned and pressed the"
11
"She forced the gate back"
12
"Their light picked out glass"
13
"It gave her only static."
14
"His eyes were clouded white,"
15
"He showed his teeth."
16
"His fingers brushed her sleeve."
17
"She spun, but he had"
18
"She kept her eyes on"
19
"He pushed between two stalls"
ratio
0.176
41.70%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
128
totalSentences
153
matches
0
"Quinn hit the kerb hard,"
1
"The suspect had just slipped"
2
"He looked back once."
3
"Quinn saw the white slash"
4
"Her boots slapped through water."
5
"Soho’s narrow streets funnelled the"
6
"Quinn shoved through a knot"
7
"A glass broke."
8
"The suspect cut left."
9
"Quinn followed, one hand close"
10
"Her leather watch snagged on"
11
"The strap pulled at her"
12
"She didn’t slow."
13
"A black cab rolled across"
14
"The suspect darted in front"
15
"The driver leaned on the"
16
"Quinn ran behind the cab."
17
"The suspect reached the next"
18
"Quinn knew the bar."
19
"She’d stood outside it twice"
ratio
0.837
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
153
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
51
technicalSentenceCount
0
matches
(empty)
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
2
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
1
fancyCount
0
fancyTags
(empty)
dialogueSentences
23
tagDensity
0.043
leniency
0.087
rawRatio
0
effectiveRatio
0
89.9075%