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Run: 2026-10-27-01M5YFNQT2F6W4S8RAJAAWVR04
Run Details
Model:
GPT-6.1 Terra (Reasoning, Medium)
Test:
Bad Writing Habits
Scenario:
Thriller: chase through city streets
Duration:
39.4s
Cost:
$0.014139
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
97.51%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
85.04%
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)
29.59%
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)
97.88%
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)
47.73%
Sentence opener variety
(details)
18.94%
Adverb-first sentence starts
(details)
88.18%
Pronoun-first sentence starts
(details)
2.61%
Subject-first sentence starts
(details)
28.41%
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)
86.5298%
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 back of
Herrera’s coat and tore the pocket clean off.
He stumbled, caught himself against
a parked van and ran.
She vaulted the kerb after
him, the scrap of fabric clenched in her fist. “Police! Stop!”
Herrera knocked a crate of
oranges into her path.
Quinn kicked through it, slipped
on pulp and hit the van with her shoulder. By the time she recovered, he had crossed the road. A bus blared its horn.
She darted behind it and
found him again, weaving through a knot of people outside a takeaway.
A small metal case struck
his thigh with each stride. Quinn pressed her radio. “Suspect heading north on Kentish Town Road. Male, dark coat, carrying a medical case.” Static crackled. Then a voice answered. “Unit dispatched. Keep him in sight.” Herrera looked back.
He saw her and shoved
through the takeaway door. Quinn followed him inside.
He had gone straight past
the counter and through a door marked STAFF ONLY.
The man at the till
shouted as she flashed her warrant card and pushed after Herrera.
The kitchen smelled of hot
oil and bleach.
A cook flattened himself against
the sink.
Quinn crossed the slippery tiles
and burst through the rear door into an alley.
Herrera stood at the far
end, working at a gate. “Hands where I can see them.” He swung round. His face shone with rain, and wet curls clung to his forehead. The case hung from one hand. With the other, he dragged a bone-white disc from his coat. “Detective, listen to me.” “Put it down.” The gate rattled as he shoved the disc through a gap in the bars. Something clicked.
He pulled the gate open
and slipped through. Quinn reached it as the catch snapped shut. The padlock had no keyhole.
She grabbed the bars and
hauled, but the gate held firm. Beyond it, Herrera backed towards a narrow doorway with a metal shutter drawn halfway down. “You were at the flat,” she said. “I went there to save her.” “You left a woman dead on the floor.” “She died before I arrived.” “And you took her phone.” “I took what was in it. There’s a difference.” He ducked beneath the shutter. Quinn drove her heel against the lock. Once. Twice. On the third blow, the metal split and the gate flew inward.
She caught the shutter before
it fell and wriggled underneath.
Her coat snagged on a
jagged edge.
She pulled free, leaving a
strip of wool behind. The room beyond held broken furniture and a toppled drinks fridge. Water dripped from a hole in the ceiling into a bucket. At the rear, an open door led to a flight of concrete steps. Herrera’s
footsteps
faded below. Quinn took out her torch and descended. The beam passed over flaking posters, old cable brackets and a smear of blood on the wall. At the foot of the steps stood another locked gate, this one set into a tiled passage. Herrera had vanished.
She swept the beam across
the tiles. An old Underground roundel showed through layers of grime, its station name scraped away. Someone had wedged a folded piece of card into the gate’s grille. It was a photograph. Quinn pulled it free. The glossy surface had curled at the edges, but she knew the face. DS Morris stood beside a car, his tie loose and his hand raised against the camera. Someone had drawn a black line across his throat. On the back, a message had
been written
in blue ink.
SHE TOLD ME YOU WOULD
FOLLOW. A faint scrape sounded beyond the gate. Quinn aimed her torch through the bars. A woman sat on a stool in the passage, wrapped in a blanket.
She had not been there
when Quinn looked before. “Who left this?” The woman’s eyes rested on the photograph. “Do you want him back?” Quinn stepped closer to the gate. “Who are you?” “Entry costs one token.” “I’m a police officer.” “Then I’m saving you from a poor decision.” The woman held out her palm.
Her fingers were stained brown
at the tips, as though she had dipped them in tea. Quinn glanced back up the steps. Her radio had fallen silent. She pressed the transmit button. “Control, this is Quinn. Suspect has entered a disused station off Kentish Town Road. I’m at a locked gate.” No reply. She moved towards the stairs, but the radio still gave her nothing. Her phone showed no signal either. She could climb back to the street, give the location and wait for officers to force the entrance. Herrera would be gone by then, and whoever had left the photograph would know she had called them. “Where did he get the token?” she asked. The woman tucked her hand beneath the blanket. “He brought one.” “Where do I get one?” “From someone who no longer needs theirs.” Footsteps tapped on the steps behind Quinn. She turned, lifting the torch. A man in a long leather coat stood halfway down. His face looked ordinary enough until he smiled. His teeth had
been filed
into points. “Lost something, Detective?” He held a white disc between finger and thumb. A hole had
been drilled
through its centre. “Come down
slowly
. Keep your hands visible.” He descended two steps and
flicked
the token at her. It bounced off her chest and landed by her shoe. “Courtesy of the woman in the flat.” Quinn kept her eyes on him. “What was her name?” “You know her name.” “Say it.” His smile narrowed. “Eva Bell.” That detail had not reached the press. Quinn crouched, picked up the token and slipped it into her pocket. “Did you kill her?” “She sold something that didn’t belong to her.” His hand went inside his coat. Quinn lunged up the steps. He pulled out a knife, but she struck his wrist against the rail before he could raise it. The blade clattered down the stairs. He rammed his shoulder into her ribs, pinning her against the wall, and the torch flew from her hand. He smelled of damp leather and rotten meat. Quinn drove her knee into his groin. He grunted but kept his grip. His teeth snapped shut an inch from her cheek. She seized his hair, smashed his face into the rail and shoved him backwards. He fell to the bottom, striking each step, and landed beside the gate. His eyes stayed open. Blood trickled from his nose, then stopped. Quinn retrieved the torch and checked his
pulse
. It beat beneath her fingers, slow and heavy. She cuffed him to the rail. The woman beyond the gate watched without moving. “Open it,” Quinn said. “Your token.” Quinn pushed the disc through the grille. The woman examined it, then touched it to the lock. The bolt drew back with a sharp click. “What is this place?” “The Market.” “Does Herrera work here?” “He brings in the sick. He takes them out, if he can.” Quinn stepped through. The woman closed the gate behind her and slid the bolt home. “Keep your receipt,” she said, returning the token. “You’ll need it to leave.” The passage curved towards an old platform. Strings of bare bulbs hung above stalls built from doors and railway sleepers. The air smelled of incense, frying fat and something sweet that turned Quinn’s
stomach
. Vendors called from beneath patched awnings. A woman sold glass eyes from trays of black
velvet
. At the next stall, pale roots twitched inside jars. A train timetable hung over the platform, its destinations painted out. Beneath it, a butcher in a clean apron carved strips from a slab of meat. The slab flexed under his knife. Quinn stopped. People brushed past her, some carrying shopping bags, others pushing prams with the covers drawn tight. A man with a dog’s muzzle glanced at her warrant card and pulled his hood lower. She put the card away. At the far end of the platform, Herrera hurried between two stalls. Quinn followed, keeping several yards behind. He pressed a hand to his left forearm. Blood had soaked through the cuff. He stopped beside a curtain of hanging chains. A girl waited there with a canvas bag over her shoulder. Herrera handed her the metal case. “No more than half,” he said. “She’s already taken half.” “Then keep her breathing until I get there.” The girl slipped through the chains. Quinn caught Herrera’s arm. “Don’t move.” He flinched, then looked at her hand on his sleeve. “That hurts.” “You can complain at the station.” “There’s a child behind that curtain who needs what’s in the case.” “Eva Bell needed help too.” “I gave it to her.” “You ran.” “Because I saw the man who cut her.” Quinn pulled him towards a gap between stalls. A vendor selling stoppered bottles watched them, then began stacking his stock into a crate. “You can name him,” she said. “I can describe him. Leather coat, teeth like a broken saw.” “He’s upstairs.” Herrera’s expression changed. “Alive?” “For now.” “Then you brought him to the door.” “He’s cuffed.” “That won’t hold him.” He pulled back his sleeve. An old scar ran along his left forearm. Fresh punctures marked the skin beside it. “He bit you?” “Cut me. The blade had something on it.” His fingers shook as he buttoned the cuff again. A Saint Christopher medallion slipped from his shirt. He tucked it away. Quinn took the photograph from her pocket and showed him. “Who gave you this?” Herrera looked at Morris’s face. “Eva sent it to me. She said if anything happened to her, I had to find you.” “Why?” “She bought information here. Names of people who went missing around the Market.” “Three years ago.” “And since.” Quinn held the photograph tighter. “Morris died in a warehouse fire. I identified his body.” “Did you see his face?” She remembered the sealed bag, the pathologist’s report and the watch recovered from his wrist. Her own worn leather strap rubbed against the edge of the photograph. “Eva had records,” Herrera said. “She copied them onto her phone.” “Where is it?” “I took the memory card. It’s in the case.” The chains rattled behind them. The girl emerged without the case, her hands stained red. “She’s choking.” Herrera pushed past Quinn. She caught his coat. “The card.” “You can arrest me after I save her.” A bell rang above the platform. Vendors stopped calling. The butcher laid down his knife. Herrera went still. “What’s that?” Quinn asked. “The Market’s closing its doors.” People began moving towards the exits.
Not running, but their voices had dropped
, and the gaps between them widened. The vendor beside Quinn snuffed the lamp on his stall. “Why?” Herrera looked towards the entrance. “Someone important has come in.” The lights along the platform blinked out in sequence. At the far end, the gatekeeper led a man through the crowd. He wore a leather coat. One cuff hung from his wrist, its broken chain swinging. Blood covered the lower half of his face. He carried Quinn’s torch in one hand and a photograph in the other. “Get the child out,” Quinn said. Herrera ducked through the chains. Quinn took her baton from her belt and stepped into the open. The crowd parted around her. The man stopped a few yards away and held up the photograph. “You left this.” “On your knees.” He dropped the photograph. A second figure walked out of the dark behind him. The newcomer wore a black coat and carried no weapon Quinn could see. His hair had thinned at the temples. A pale seam ran across his throat. Quinn’s baton slipped against her palm. Morris smiled at her. The man in leather rushed her. Quinn swung the baton into his jaw, but he caught her wrist and bit through her sleeve. She struck him again. He dragged her down, his teeth buried in her arm, and Morris stepped over them towards the chains. A child screamed behind the curtain.
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10/27/2026, 10:49:38 AM
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"resp_0455f35cbf5a1fbf016ae081c277e887d19e93901352a27699"
is_byok
false
latency
373
model_permaslug
"openai/gpt-6.1-terra-20261026"
provider_name
"OpenAI"
status
200
total_cost
0.01413945
cache_discount
0.00392255
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
9
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
83
tagDensity
0.108
leniency
0.217
rawRatio
0
effectiveRatio
0
97.51%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
2006
totalAiIsmAdverbs
1
found
0
adverb
"slowly"
count
1
highlights
0
"slowly"
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)
85.04%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
2006
totalAiIsms
6
found
0
word
"footsteps"
count
2
1
word
"flicked"
count
1
2
word
"pulse"
count
1
3
word
"stomach"
count
1
4
word
"velvet"
count
1
highlights
0
"footsteps"
1
"flicked"
2
"pulse"
3
"stomach"
4
"velvet"
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
190
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
0
narrationSentences
190
filterMatches
(empty)
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
264
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
19
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
2006
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
13
unquotedAttributions
0
matches
(empty)
29.59%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
69
wordCount
1578
uniqueNames
8
maxNameDensity
2.41
worstName
"Quinn"
maxWindowNameDensity
4
worstWindowName
"Quinn"
discoveredNames
Herrera
19
Underground
1
Morris
4
Quinn
38
Saint
1
Christopher
1
People
2
Blood
3
persons
0
"Herrera"
1
"Morris"
2
"Quinn"
3
"Saint"
4
"Christopher"
5
"People"
6
"Blood"
places
(empty)
globalScore
0.296
windowScore
0.333
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
137
glossingSentenceCount
0
matches
(empty)
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
1
per1kWords
0.499
wordCount
2006
matches
0
"Not running, but their voices had dropped"
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
264
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
165
mean
12.16
std
11.8
cv
0.971
sampleLengths
0
13
1
24
2
2
3
33
4
32
5
4
6
14
7
6
8
6
9
12
10
34
11
29
12
10
13
6
14
32
15
4
16
3
17
24
18
8
19
31
20
7
21
6
22
8
23
5
24
5
25
9
26
5
27
21
28
26
29
35
30
4
31
44
32
33
33
4
34
42
35
11
36
6
37
14
38
22
39
3
40
7
41
5
42
6
43
3
44
4
45
4
46
8
47
22
48
16
49
19
97.88%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
4
totalSentences
190
matches
0
"been written"
1
"were stained"
2
"been filed"
3
"been drilled"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
286
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
264
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1579
adjectiveStacks
0
stackExamples
(empty)
adverbCount
23
adverbRatio
0.014566181127295756
lyAdverbCount
2
lyAdverbRatio
0.001266624445851805
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
264
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
264
mean
7.6
std
4.18
cv
0.551
sampleLengths
0
13
1
10
2
14
3
2
4
9
5
14
6
10
7
5
8
17
9
10
10
4
11
14
12
2
13
4
14
6
15
3
16
9
17
4
18
14
19
16
20
8
21
7
22
14
23
10
24
6
25
3
26
12
27
6
28
11
29
4
30
3
31
14
32
2
33
8
34
8
35
5
36
11
37
15
38
7
39
6
40
8
41
5
42
5
43
9
44
5
45
7
46
1
47
1
48
12
49
10
47.73%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
6
diversityRatio
0.26515151515151514
totalSentences
264
uniqueOpeners
70
18.94%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
1
totalSentences
176
matches
0
"Then a voice answered."
ratio
0.006
88.18%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
58
totalSentences
176
matches
0
"He stumbled, caught himself against"
1
"She vaulted the kerb after"
2
"She darted behind it and"
3
"He saw her and shoved"
4
"He had gone straight past"
5
"He swung round."
6
"His face shone with rain,"
7
"He pulled the gate open"
8
"She grabbed the bars and"
9
"He ducked beneath the shutter."
10
"She caught the shutter before"
11
"Her coat snagged on a"
12
"She pulled free, leaving a"
13
"She swept the beam across"
14
"It was a photograph."
15
"SHE TOLD ME YOU WOULD"
16
"She had not been there"
17
"Her fingers were stained brown"
18
"Her radio had fallen silent."
19
"She pressed the transmit button."
ratio
0.33
2.61%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
161
totalSentences
176
matches
0
"Quinn caught the back of"
1
"He stumbled, caught himself against"
2
"She vaulted the kerb after"
3
"Herrera knocked a crate of"
4
"Quinn kicked through it, slipped"
5
"A bus blared its horn."
6
"She darted behind it and"
7
"A small metal case struck"
8
"Quinn pressed her radio."
9
"Herrera looked back."
10
"He saw her and shoved"
11
"Quinn followed him inside."
12
"He had gone straight past"
13
"The man at the till"
14
"The kitchen smelled of hot"
15
"A cook flattened himself against"
16
"Quinn crossed the slippery tiles"
17
"Herrera stood at the far"
18
"He swung round."
19
"His face shone with rain,"
ratio
0.915
28.41%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
1
totalSentences
176
matches
0
"By the time she recovered,"
ratio
0.006
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
69
technicalSentenceCount
0
matches
(empty)
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
9
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
9
fancyCount
0
fancyTags
(empty)
dialogueSentences
83
tagDensity
0.108
leniency
0.217
rawRatio
0
effectiveRatio
0
86.5298%