Run: 2026-07-09-01KX40R9F1F5H5JPCPTKCA3CDM

Run Details

Duration:
14.4s
Cost:
$0.015439
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Detective Harlow Quinn ducked beneath the police tape and entered the abandoned Tube station. The platform lights had failed years ago, leaving the station in a wash of portable lamps and blue emergency strobes. Dust hung above the tracks. Old advertisements peeled from the curved walls: holidays in Brighton, cigarettes in silver packets, a theatre production whose stars had faded into pale ghosts. The body lay beside the disused ticket barrier. A man in a charcoal coat had fallen on his back, one arm crooked beneath him, the other stretched towards the stairs. Blood spread across his shirt in a dark, neat bloom. His throat bore a narrow wound. Quinn stopped three paces away. Her leather watch clicked against her wrist as she lifted her hand. Twenty-three minutes past two. “Victim’s Felix Oram,” Detective Sergeant Patel called from beside the barrier. “Forty-six. Dealer, broker, occasional informant. One stab wound to the throat. No weapon found.” Quinn studied the corpse. “Occasional?” “Depends who paid him.” Patel wore a disposable suit and a frown that had settled into his face before the coffee reached his hand. He held a clear evidence bag containing a bone token between two fingers. “Found in his pocket,” he continued. “We think it got him in here.” Quinn looked past him towards the station entrance. The tunnel beyond the platform ended in a brick wall. No working trains ran through this section. No power fed the rails. The police had entered through a service hatch in a Camden alley after a council worker reported lights underground. “No forced entry,” Patel said. “No cameras. No witnesses. We’ve got a locked-room killing in an abandoned station.” “Who locked it?” Patel pointed towards the ticket barrier. A brass padlock hung from a chain looped through the old gate. “Still intact.” Quinn crouched beside the body. The man’s shoes were clean despite the grit around him. His coat had collected dust along the shoulders and sleeves, but the soles showed no trace of the platform’s grey powder. “Where did you find him?” “Exactly there.” “Who touched him?” “Uniform checked for a pulse. Then nobody.” Quinn slid a torch from her pocket and angled the beam beneath Oram’s hand. His fingers curled around a small object. “Bag that.” Patel leaned closer. “That wasn’t visible when we arrived.” “It was under his hand.” “Could’ve been knocked loose during the pulse check.” “Then the officer’s glove should have disturbed the fingers.” Quinn held the torch steady. “They haven’t moved.” Patel’s mouth tightened. “You’re saying the object was placed there?” “I’m saying the hand was arranged around it.” The object was a brass compass, no larger than a watch face. Verdigris stained its casing. Protective sigils ran around the edge, cut into the metal with a fine, deliberate hand. Its needle trembled beneath the glass. Patel glanced at it. “Tourist junk?” “Not from any shop in Camden.” The needle turned. It pointed down the platform, past the corpse, towards the black mouth of the tunnel. Quinn reached for her gloves. “Photograph it before you bag it.” “It’s pointing at the tunnel.” “Then photograph the tunnel too.” Patel’s expression shifted from irritation to amusement. “You’ve been listening to Oram’s stories.” “I’ve read his file.” “His file says he sold contraband, took bribes and claimed the dead whispered prices in his ear.” “His file also says two witnesses vanished after meeting him.” Patel lowered his gaze to the body. “That doesn’t make this supernatural.” “No. It makes it a crime scene.” She moved around Oram without stepping into the blood. The wound had entered beneath the left ear and travelled across the throat. A narrow blade. No hesitation mark. The blood pattern confused her. It had run under his collar, then pooled beneath his right shoulder. The body’s position suggested he had fallen backwards, but the blood had settled as if he had lain on his side first. “Where’s the arterial spray?” Patel looked at the wall. “There isn’t any.” “Exactly.” “He could’ve been dead before the cut.” “Then the wound wasn’t the cause.” Patel’s frown deepened. “You’ve got one stab wound and no weapon.” Quinn shone the torch over Oram’s hands. The fingernails were clean. No defensive cuts. No torn fabric. No bruising around the wrists. “He knew the person who approached him,” she said. “Oram knew half the city.” “Not enough to let someone put a blade to his throat.” Patel pointed towards the stairs. “Blood drops lead that way. Killer comes down, attacks him, leaves through the same route.” Quinn followed the line of drops. They began six feet from the body, each mark no larger than a coin. The trail crossed the platform and climbed three steps before stopping. She climbed after it. The final drop sat on the fourth step. Its edge had dried into a sharp crescent. Quinn crouched and touched nothing. She looked up at the stairwell. No blood marked the walls. No smear crossed the handrail. The trail ended as if its source had evaporated. “Your killer left without bleeding,” Patel said. “Our killer left without feet.” He glanced at the steps. “What?” Quinn pointed at the dust. The platform carried a dense grey film except where the emergency crew had walked. The stairs held the same powder. The blood trail crossed it, but no footprints surrounded the drops. Patel folded his arms. “Could’ve worn covers.” “Then the covers would have left a pattern. And no one walks backwards up four stairs without touching the rail.” He looked towards the tunnel. “Could have jumped.” “From the body to the top of the stairs?” “People do strange things under pressure.” “People leave traces.” Quinn descended and returned to Oram’s body. She knelt near his coat pocket. The fabric bulged on the right side. She opened the flap and found a wallet, three old banknotes, a silver lighter and a folded scrap of paper. The paper bore a single address. 14 Havelock Street. Eva Kowalski stood behind the cordon, clutching her leather satchel against her ribs. Her curly red hair had escaped its tie, and she kept tucking it behind her left ear. Round glasses caught the blue light. Quinn rose. “You know him?” Eva stepped beneath the tape when Patel waved her through. “I knew of him. He bought relics from people who didn’t understand what they owned.” “You came here with the first response team?” “I arrived ten minutes before you.” “Why?” Eva looked at the brass compass in Oram’s hand. Colour drained from her freckled face. “That shouldn’t be here.” Patel gave a short laugh. “You recognise it?” “It’s a Veil Compass.” “A what?” Eva ignored him. “Where did you find it?” “Under the victim’s hand.” “That’s impossible.” Quinn watched her fingers return to her hair. “Explain.” Eva took one step closer, then stopped at the edge of the blood. “Those are made in the Veil Market. The casing is brass, but the sigils aren’t decorative. They protect the instrument from interference. The needle points towards supernatural rifts.” Patel’s face hardened. “There’s no such thing as a supernatural rift.” Eva looked at the dead man. “Then you’ve got a compass with a very expensive sense of humour.” Quinn held out the evidence bag. “What’s wrong with it?” Eva inspected the compass without touching the plastic. “The needle points towards the tunnel.” “We’ve got a wall there.” “That doesn’t mean there’s nothing behind it.” Patel shook his head. “The station plans show a sealed service passage.” “Plans can be wrong.” “Brick is brick.” Eva’s eyes shifted to the wall. “Not always.” Quinn returned to the body. “You said this shouldn’t be here.” “The Market moves every full moon. Tonight’s the full moon.” Patel gave her an incredulous stare. “The market moves?” “Underground. It trades enchanted goods, banned alchemical substances, information. It turns up in different abandoned stations each month.” “Convenient.” Eva’s voice tightened. “You asked what was wrong with the scene.” Quinn kept her attention on Oram’s coat. “How did you know this was a scene?” Eva hesitated. Patel reached for his radio. “I’m calling transport.” “No,” Quinn said. He lowered the radio. “No?” “Not yet.” She opened the folded paper again. The address had been written in blue-black ink, but the paper’s edges were damp. Quinn lifted it closer to the light. A second line showed beneath the address, pressed into the fibres by a heavier hand. Come alone. Bring the token. She glanced at the bone token in Patel’s evidence bag. “Oram was expected somewhere,” she said. Eva’s face tightened. “At Havelock Street.” “Then why bring him here?” “Perhaps he didn’t.” Quinn turned towards the stairs. “You said you arrived ten minutes before me. What did you see?” Eva hugged the satchel. “The lights were on. All of them.” “Who else was here?” “No one.” “Try again.” Eva looked at Oram’s body. “I heard voices.” “From where?” “The tunnel.” Patel stepped forward. “You heard a train?” “No.” “What, then?” Eva swallowed. “A woman arguing. Felix Oram answered her. I couldn’t make out the words. Then something struck the wall.” “Why didn’t you tell the first officers?” “Because they would have laughed.” “They’re police officers,” Patel snapped. “Not children.” Eva’s hand slipped from her hair. “One voice belonged to DS Morris.” The station seemed to lose what little warmth it held. Quinn stared at her. Patel’s radio crackled. He silenced it with his palm. Eva’s green eyes fixed on Quinn. “I know what you’ll say. People sound alike. Old stations carry noise. I’ve heard all of it.” Quinn looked at the blood beneath Oram’s shoulder, the clean shoes, the absent footprints and the compass needle pressing towards a brick wall. Three years earlier, DS Morris had vanished in a service tunnel beneath Whitechapel. His radio had transmitted for eleven minutes after his body camera went dark. The recording contained Quinn’s own voice, though she had been at the station. She had never told anyone. “Show me where you heard him,” she said. Patel caught her arm. “Detective.” Quinn looked down at his hand until he released it. “That wall is sealed,” he said. “Then we’ll inspect the seal.” She walked towards the tunnel. The compass needle swung inside its glass, pointing straight ahead. Behind her, Eva opened the satchel and began pulling out books. Patel followed, swearing under his breath. At the foot of the stairs, Quinn stopped. The blood trail ended before a section of brickwork stained darker than the rest. No mortar line showed around it. No dust clung to its surface. She raised her torch. A handprint appeared in the brick. The fingers were long, narrow and wet with Oram’s blood. Quinn pressed her gloved palm against the wall. The bricks shifted beneath it.
created_at"2026-07-09T18:03:03.529Z" 7/9/2026, 6:03:03 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency516
moderation_latency(null)
generation_time13969
tokens_prompt1149
tokens_completion3159
native_tokens_prompt1009
native_tokens_completion2405
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.015439
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_03f79eb9be29a818016a4fe2579c74819081c03fa8cda6524f"
is_byokfalse
latency220
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620183-63EbWwq9ChILYwk8UzKV"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620183-uQTuj7kMWo7MYlJ7zTY8"
upstream_id"resp_03f79eb9be29a818016a4fe2579c74819081c03fa8cda6524f"
total_cost0.015439
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences113
tagDensity0.097
leniency0.195
rawRatio0
effectiveRatio0
97.21% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1789
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
86.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1789
totalAiIsms5
found
0
word"pulse"
count2
1
word"trembled"
count1
2
word"sense of"
count1
3
word"warmth"
count1
highlights
0"pulse"
1"trembled"
2"sense of"
3"warmth"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences151
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences151
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences253
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1789
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions24
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions90
wordCount1139
uniqueNames14
maxNameDensity2.46
worstName"Quinn"
maxWindowNameDensity6.5
worstWindowName"Eva"
discoveredNames
Harlow1
Quinn28
Tube1
Brighton1
Sergeant1
Patel26
Camden1
Oram9
Havelock1
Street1
Kowalski1
Eva17
Morris1
Whitechapel1
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Patel"
4"Oram"
5"Kowalski"
6"Eva"
7"Morris"
places
0"Brighton"
1"Camden"
2"Havelock"
3"Street"
globalScore0.271
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences85
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1789
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences253
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs152
mean11.77
std11.68
cv0.992
sampleLengths
014
149
28
338
45
516
625
75
84
933
1013
1149
1218
133
1418
152
1636
175
182
193
207
2121
222
239
245
258
2617
2710
288
2937
306
316
323
3315
3411
355
365
3713
384
3917
4010
4112
427
4367
444
458
461
477
486
4911
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences151
matches
0"been written"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs198
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences253
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1141
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.007887817703768623
lyAdverbCount1
lyAdverbRatio0.0008764241893076249
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences253
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences253
mean7.07
std4.88
cv0.691
sampleLengths
014
120
25
324
48
522
610
76
85
912
104
1111
1214
134
141
154
1620
1713
186
197
208
2110
227
235
2419
255
2613
273
286
2912
302
315
3210
3321
345
352
363
377
3814
397
402
413
426
435
448
4514
463
473
487
498
46.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.2727272727272727
totalSentences253
uniqueOpeners69
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences138
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences138
matches
0"His throat bore a narrow"
1"Her leather watch clicked against"
2"He held a clear evidence"
3"His coat had collected dust"
4"His fingers curled around a"
5"Its needle trembled beneath the"
6"It pointed down the platform,"
7"She moved around Oram without"
8"It had run under his"
9"They began six feet from"
10"She climbed after it."
11"Its edge had dried into"
12"She looked up at the"
13"He glanced at the steps."
14"He looked towards the tunnel."
15"She knelt near his coat"
16"She opened the flap and"
17"Her curly red hair had"
18"He lowered the radio."
19"She opened the folded paper"
ratio0.188
32.46% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount118
totalSentences138
matches
0"Detective Harlow Quinn ducked beneath"
1"The platform lights had failed"
2"Dust hung above the tracks."
3"The body lay beside the"
4"A man in a charcoal"
5"Blood spread across his shirt"
6"His throat bore a narrow"
7"Quinn stopped three paces away."
8"Her leather watch clicked against"
9"Detective Sergeant Patel called from"
10"Quinn studied the corpse."
11"Patel wore a disposable suit"
12"He held a clear evidence"
13"Quinn looked past him towards"
14"The tunnel beyond the platform"
15"The police had entered through"
16"Patel pointed towards the ticket"
17"A brass padlock hung from"
18"Quinn crouched beside the body."
19"The man’s shoes were clean"
ratio0.855
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences138
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount2
fancyTags
0"he continued (continue)"
1"Patel snapped (snap)"
dialogueSentences113
tagDensity0.088
leniency0.177
rawRatio0.2
effectiveRatio0.035
84.7247%