Run: 2026-03-25-01KMJ8MC9WCNPTYDTH8WQX4513

Run Details

Duration:
22.7s
Cost:
$0.000278
Provider:
WandB

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
Rainwater dripped through cracks in the tiling high above, pattering onto broken concrete and rusted railings. The flicker of a single emergency light buzzed near the edge of the platform, casting jagged shadows across graffiti-scarred tiles. The air tasted of damp metal and something sour beneath—a tang like old copper and burnt hair. Detective Harlow Quinn stepped off the crumbling edge of the underground platform, her boots crunching over shattered glass and what looked like animal bone. She didn’t react. Not outwardly. Her jaw clenched once, just below the sharp line of her cheekbone, and her fingers brushed the worn leather of her wristwatch. 2:17 a.m. She exhaled through her nose. “Quinn,” came a voice from behind, too calm for the place. DS Lin peered down at his notepad, water staining the edges of his notebook. “Body’s over there. Middle of the tracks. No ID. Male, early thirties. No visible cause of death.” Quinn didn’t respond right away. She scanned the space—abandoned Tube station, disused since the ’70s by official records. But the graffiti wasn’t fresh, and the bones… those weren’t random. Arranged. Deliberate. A ring of small femurs and cracked molars circled the dead man’s head like a crown. A dead rite. Or a warning. “You see that?” she asked, voice low. Lin followed her gaze. “Yeah. Messy. Probably local kids, some cult nonsense. They use these tunnels for squatting now.” She crouched beside the body. Male, as Lin said. Wearing a damp trench coat, no wallet, no phone. His eyes were open, pupils fully dilated, but not in fear. In awe. Or terror so complete it bypassed resistance. “Hands folded,” she said. “Not defensive. Not postmortem settling. He was placed.” “Or he died praying,” Lin said with a shrug. Quinn ignored him. She ran her fingers along the edge of the platform where the bones had been collected. Not animal. Too small, but not rodent. Bird? No. She picked up one piece—phalange, human, but stunted. Child-sized. Not from this body. Then the watch on her wrist ticked oddly. Not a clock tick. A pulse. Faint, like a heartbeat against her skin. She froze. “You feel that?” she asked. Lin frowned. “Feel what?” She straightened, scanning again. Her eyes caught a shimmer near the tunnel mouth—barely visible, like heat haze in winter. No heat here. No light. But something in the air flickered, warping the edges of reality for a heartbeat before snapping back. “The body wasn’t moved here,” she said. “What?” “He was killed *in* that spot. And no one carried anything out. But look.” She pointed to scuff marks in the grime—drag lines that stopped abruptly six feet from the body. “Someone tried to move him. Then… changed their mind? No. Something *stopped* them.” Lin shook his head. “That’s not in the report.” “Because the first responders didn’t see it. Or didn’t remember.” He gave her a look—half skepticism, half irritation. “You really pulling that Morris nonsense again?” Her eyes cut to him. “Morris knew something was off. He was looking into the Veil Market before he—” “The *what*? That ghost story about black market magicians?” “I don’t care what you call it. He was following a missing persons case. A grad student. Same coat, same build as this man. Name was Davies. Vanished three weeks ago after accessing the British Museum restricted archives.” Lin flipped through his notes. “No record of that case.” “Because it was pulled.” “By who?” She didn’t answer. But her hand drifted to the inside pocket of her coat, where she kept a small brass object wrapped in cloth. She didn’t take it out. Not yet. Footsteps echoed down the tunnel. Soft. Fast. Too light for boots. Quinn turned. A woman stepped into the dim light. Red curly hair tied back loosely, round glasses fogged at the edges, freckles stark in the pale glow. She clutched a worn leather satchel to her chest like a shield. “Detective Quinn,” the woman said. Her voice was steady, but her hand went to her hair—tucked a strand behind her left ear. Nervous. Not afraid of the body. Afraid of *her*. Quinn stood. “Eva Kowalski. You’re DS Morris’ informant.” “I was his contact, yes. But I didn’t—” She looked at the body. Recognition flickered in her green eyes. “Oh. It’s him. Gareth.” Lin stepped forward. “You know the victim?” Eva didn’t look at him. “Gareth Davies. Occult historian. He was researching the Veil Market. I tried to warn him.” “Warn him about what?” Quinn asked. “That place isn’t just illegal. It’s alive. It *feeds*. And when someone crosses the wrong vendor, they don’t die. They’re *unmade*.” Lin snorted. “Right. Demon contracts and haunted artefacts. You want to tell us where you were tonight, Ms. Kowalski?” Eva finally turned to him. “I was at the British Museum. Overtime. Security logs will confirm it.” She looked back at Quinn. “But I felt the shift. The rift opened. I knew someone had died near a threshold. That’s why I came.” Quinn studied her. The satchel. The way she stood—like she expected the shadows to move. The glasses slipping down her nose. Real. Not theatrics. “You have something,” Quinn said quietly. “Give it to me.” Eva hesitated. “Not for you. For him.” Quinn nodded at the body. Eva reached into the satchel. Pulled out a small brass compass, tarnished with verdigris, the glass face cracked. The needle spun wildly, then locked—pointing straight down the tunnel, toward the shimmering haze. Lin stared. “What the hell is that?” “A Veil Compass,” Eva said. “Points to rifts. To thin places between worlds.” Quinn took it. The moment her fingers closed around the casing, the watch on her wrist pulsed again—stronger. A current, almost painful. “There’s a portal here,” she said. “Still open. Slight. But it’s breathing.” Lin looked between them. “This is insane.” Quinn walked to the center of the platform, holding the compass low. The needle trembled, then dipped, like the air had weight. She stopped near the scuff marks. “This is where they dragged him,” she said. “From *through* there.” She pointed at the haze. “They pulled him back into our world. But he was already dead. Or... not dead. *Changed*.” Eva stepped closer. “The Market moves every full moon. It relocates to a new abandoned space beneath London. But rifts linger. Like scars.” “And deaths at a threshold,” Quinn said, “don’t register normally. No trauma. No poison. Because the cause isn’t physical. It’s metaphysical.” Lin exhaled sharply. “You’re serious.” Quinn turned to him. “Morris didn’t die in that warehouse fire. He was pulled through. I saw it. For a second. The air split. Like torn fabric. And he *screamed*. Not in pain. In *recognition*.” Silence. Eva whispered, “He wasn’t the first.” Quinn looked down at the compass. The needle had gone still. Pointing deeper into the tunnel. “There’s another rift,” she said. “Not here. But close. Under Camden. And someone’s using it. Not just for smuggling. For *harvesting*.” Eva’s fingers tightened on her satchel. “Then they’re already hunting the next one.” Quinn slipped the compass into her coat pocket. The watch on her wrist ticked once. In sync.
created_at"2026-03-25T10:28:49.601Z" 3/25/2026, 10:28:49 AM
model"qwen/qwen3-235b-a22b-07-25"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency113
moderation_latency(null)
generation_time22558
tokens_prompt1149
tokens_completion1992
native_tokens_prompt1037
native_tokens_completion1739
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0002776
router(null)
provider_responses
0
endpoint_id"c9f927db-d559-49eb-9846-80862c5e3b4e"
id"chatcmpl-939925c2d35ec66f"
is_byokfalse
latency27
model_permaslug"qwen/qwen3-235b-a22b-07-25"
provider_name"WandB"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774434529-Uv9FYh7xTuq40EsGEzlb"
upstream_id"chatcmpl-939925c2d35ec66f"
total_cost0.0002776
cache_discount(null)
upstream_inference_cost0
provider_name"WandB"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags19
adverbTagCount1
adverbTags
0"Quinn said quietly [quietly]"
dialogueSentences53
tagDensity0.358
leniency0.717
rawRatio0.053
effectiveRatio0.038
87.47% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1197
totalAiIsmAdverbs3
found
0
adverb"really"
count1
1
adverb"loosely"
count1
2
adverb"sharply"
count1
highlights
0"really"
1"loosely"
2"sharply"
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)
37.34% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1197
totalAiIsms15
found
0
word"flicker"
count1
1
word"shattered"
count1
2
word"jaw clenched"
count1
3
word"scanned"
count1
4
word"pulse"
count1
5
word"scanning"
count1
6
word"flickered"
count2
7
word"footsteps"
count1
8
word"echoed"
count1
9
word"stark"
count1
10
word"pulsed"
count1
11
word"trembled"
count1
12
word"weight"
count1
13
word"silence"
count1
highlights
0"flicker"
1"shattered"
2"jaw clenched"
3"scanned"
4"pulse"
5"scanning"
6"flickered"
7"footsteps"
8"echoed"
9"stark"
10"pulsed"
11"trembled"
12"weight"
13"silence"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences121
matches
0"t in fear"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences121
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences154
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans11
markdownWords11
totalWords1188
ratio0.009
matches
0"in"
1"stopped"
2"what"
3"her"
4"feeds"
5"unmade"
6"through"
7"Changed"
8"screamed"
9"recognition"
10"harvesting"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions21
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount725
uniqueNames6
maxNameDensity2.21
worstName"Quinn"
maxWindowNameDensity5.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn16
Lin12
Tube1
Recognition1
Eva8
persons
0"Harlow"
1"Quinn"
2"Lin"
3"Recognition"
4"Eva"
places(empty)
globalScore0.397
windowScore0
85.90% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount1
matches
0"looked like animal bone"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1188
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences154
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs61
mean19.48
std14.6
cv0.75
sampleLengths
053
158
242
353
47
519
638
712
89
941
1023
115
124
1341
147
151
1644
179
1810
1915
2019
219
2238
2310
244
252
2631
2711
282
2937
3031
318
3223
337
3420
356
3621
3719
3842
3924
4010
412
4210
4332
447
4513
4622
4712
487
4928
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences121
matches
0"been collected"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs136
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences10
totalSentences154
ratio0.065
matches
0"The air tasted of damp metal and something sour beneath—a tang like old copper and burnt hair."
1"She scanned the space—abandoned Tube station, disused since the ’70s by official records."
2"She picked up one piece—phalange, human, but stunted."
3"Her eyes caught a shimmer near the tunnel mouth—barely visible, like heat haze in winter."
4"“He was killed *in* that spot. And no one carried anything out. But look.” She pointed to scuff marks in the grime—drag lines that stopped abruptly six feet from the body."
5"He gave her a look—half skepticism, half irritation."
6"Her voice was steady, but her hand went to her hair—tucked a strand behind her left ear."
7"The way she stood—like she expected the shadows to move."
8"The needle spun wildly, then locked—pointing straight down the tunnel, toward the shimmering haze."
9"The moment her fingers closed around the casing, the watch on her wrist pulsed again—stronger."
99.33% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount736
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.04076086956521739
lyAdverbCount11
lyAdverbRatio0.014945652173913044
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences154
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences154
mean7.71
std6.65
cv0.862
sampleLengths
016
120
217
324
43
52
622
72
85
911
1014
1117
125
1313
148
153
161
171
1816
193
203
217
224
2315
245
254
269
2711
282
297
304
318
329
333
3416
352
365
371
381
398
401
414
428
434
442
457
462
475
482
492
63.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4025974025974026
totalSentences154
uniqueOpeners62
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences84
matches
0"Too small, but not rodent."
1"Then the watch on her"
2"Too light for boots."
ratio0.036
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences84
matches
0"She didn’t react."
1"Her jaw clenched once, just"
2"She exhaled through her nose."
3"She scanned the space—abandoned Tube"
4"she asked, voice low"
5"She crouched beside the body."
6"His eyes were open, pupils"
7"She ran her fingers along"
8"She picked up one piece—phalange,"
9"She straightened, scanning again."
10"Her eyes caught a shimmer"
11"She pointed to scuff marks"
12"He gave her a look—half"
13"Her eyes cut to him."
14"She didn’t answer."
15"She didn’t take it out."
16"She clutched a worn leather"
17"Her voice was steady, but"
18"She looked at the body"
19"She looked back at Quinn"
ratio0.262
79.05% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences84
matches
0"Rainwater dripped through cracks in"
1"The flicker of a single"
2"The air tasted of damp"
3"Detective Harlow Quinn stepped off"
4"She didn’t react."
5"Her jaw clenched once, just"
6"She exhaled through her nose."
7"DS Lin peered down at"
8"Quinn didn’t respond right away."
9"She scanned the space—abandoned Tube"
10"those weren’t random."
11"A ring of small femurs"
12"A dead rite."
13"she asked, voice low"
14"Lin followed her gaze."
15"She crouched beside the body."
16"His eyes were open, pupils"
17"Lin said with a shrug"
18"Quinn ignored him."
19"She ran her fingers along"
ratio0.762
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount0
matches(empty)
98.68% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount1
matches
0"she asked, voice low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount1
fancyTags
0"Eva whispered (whisper)"
dialogueSentences53
tagDensity0.264
leniency0.528
rawRatio0.071
effectiveRatio0.038
85.0543%