Run: 2026-02-19-01KHTYZVFVV1D5TRBZBW0XBP0V

Run Details

Duration:
1m 53s
Cost:
$0.001444
Provider:
SambaNova

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
The air in the abandoned Tube station was thick with the scent of damp concrete, ozone, and something metallic that clung to the back of the throat. Detective Harlow Quinn’s polished boots echoed on the grimy platform, each step measured, deliberate. Her sharp jaw was set, her brown eyes scanning the scene with military precision. The worn leather watch on her left wrist felt heavy, a familiar weight that grounded her. An arcane market had been gutted here. Stalls were glinted under the harsh glare of police floodlights, mingling with spilled powders that shimmered with been cracked open, its contents now just pale dust on the wet ground. Uniformed officers moved carefully at the edges, their faces pale beneath debris as if it might bite. Bes recognized the victim—a dealer known in certain circles as Silas. His throat was slit, neat“Detective.” She turned. Eva Kowalski stood a few feet away, clutching her worn leather satchel. Her curly red hair was half-tucked behind one ear, a nervous habit Quinn had noted during their last encounter. Round glasses magnified her green eyes, which were wide, tracing the sig“Miss Kowalski.” Quinn’s voice was flat. “Research assistant at the British Museum. What are you doing at my crime scene?” “I was called. Your people found some texts near the body. Ancient, obscure.” Eva adjusted her satchel strap. “They thought I might be able to help.” “Help with what? It’s a slash and grab. Messy, but straightforward.” “Is it?” Eva’s gaze drifted graffiti. It’s a dismissal sigil.iated outward from the body in a pattern, almost ceremonial. But Quinn had seen enough staged scenes closer to the wall. The symbol was intricate, looping, drawn with a steady hand. The substance was indeed dark, almost tar-like. She’d assumed it was paint. But now, the metallic scent in the air made sense. Copper and something else. Something wrong. “Alright. Say it’s his blood. Say it’s a symbol. What’s it mean?” “It means her freckled complexion pale under the lights. “Silas dealt in information. Forbidden histories. Things that shouldn’t bensics tech. “What about the weapon?” The tech looked up, shaking his head. “No sign of it, Detective. And. But look here.” He gestured to the victim’s left. He fought back.” “Against someone with a knife?,” Eva said. Quinn turned to her. “Explain.” Eva took a step forward, her voice dropping. entrance is warded against violence. You can’t just bring a weapon inside. The wards reject it.” “So the killer got the weapon here.” “Or made one.” Eva’s eyes were fixed on the victim’s hand. “Those bruises… they’re not from a fist. Look at the spacing. They’re from fingers. Someone—eping through the knee of her trousers. She took a pair of gloves from her pocket and snapped them on. Gently, she lifted the victim’s hand. The bruising was dark, purplish-black, and indeed, the marks were distinct. Too strong for a human grip. She looked at the leaking dark fluid. A scattered deck of cards showing unnatural constellations. And half-hidden beneath a fragment of wood, a small brass compass, its casing patinated with verdigris. She reached for it. “Don’t!” Eva’s voice was sharp, panicked. “That’s a Veil Compass. It’s attuned. If you touch it, it might… react.” Quinn paused, her gloved fingers hovering an inch from the object. The face was etched with delicate sigils, similar to the one on the wall. The needle inside was spinning lazily, not settling on north. “React how?” “It points to supernatural energy. Rifts, portals, manifestations. If it’s spinning like that, it means the source is close. Very close.” Quinn’s eyes swept the station again. Her officers were still at the periphery, not touching anything, looking uneasy. The forensics tech was waiting for her next order. The shadows between the pillars seemed deeper than they should be, drinking the light. She thought of her partner, Morris. The case three years ago. The one with no rational explanation. The one that had left his service pistol fired three times and his body cold with no visible wound. The official report called it a heart attack. She’d never believed it. She looked back at the compass. The needle was slowing. It drifted past north, past east, and settled, pointing directly at the bloody sigil on the wall. Not at the wall. At the space just in front of it. Where the shadows lay thickest. A drop of moisture fell from the ceiling, landing with a soft tap near the compass. The needle didn’t waver. “Everyone, step back,” Quinn said, her voice low but carrying. “Now.” The forensics tech straightened up, confused. “Detective?” “Do it. Get to the entrance. All of you.” They hesitated, but her tone brooked no argument. They began to retreat, their footsteps hurried now. Eva didn’t move. “You see it too,” she whispered. Quinn’s hand went to her hip, where her weapon rested. Her heart was a hard, steady drumbeat in her chest. She kept her eyes on the shadowed space the compass indicated. The air grew colder. The sigil on the wall seemed to pulse, the blackened blood gleaming as if wet anew. This wasn’t a robbery. This was a message. A cleanup. And they had interrupted it. The compass needle began to vibrate, emitting a faint, high hum. “We need to leave,” Eva said, her voice tight with fear. “Whatever they summoned, it’s not gone. It’s waiting.” Quinn finally picked up the compass. It was ice-cold in her hand. The humming stopped. The needle held its position, unwavering. She looked from the compass to the sigil, to the victim’s brutally gripped hand. They hadn’t been looking for a killer. They’d been looking for a weapon. And the weapon was still here.
created_at"2026-02-19T12:46:24.256Z" 2/19/2026, 12:46:24 PM
model"deepseek/deepseek-chat-v3.1"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3262
moderation_latency(null)
generation_time112694
tokens_prompt1166
tokens_completion1551
native_tokens_prompt1033
native_tokens_completion1719
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"
usage0.0014442
router(null)
provider_responses
0
endpoint_id"1dda4bb9-c626-4816-bb54-99665323fef0"
id"04153f43-4f8d-4c1d-8aaa-60492d24ae2a"
is_byokfalse
latency3204
model_permaslug"deepseek/deepseek-chat-v3.1"
provider_name"SambaNova"
status200
api_type"completions"
id"gen-1771505184-BJeJIEQWMGKcKrxSIyEZ"
upstream_id"04153f43-4f8d-4c1d-8aaa-60492d24ae2a"
total_cost0.0014442
cache_discount(null)
upstream_inference_cost0
provider_name"SambaNova"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences30
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
79.06% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount955
totalAiIsmAdverbs4
found
0
adverb"carefully"
count1
1
adverb"gently"
count1
2
adverb"lazily"
count1
3
adverb"very"
count1
highlights
0"carefully"
1"gently"
2"lazily"
3"very"
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)
26.70% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount955
totalAiIsms14
found
0
word"echoed"
count1
1
word"measured"
count1
2
word"scanning"
count1
3
word"familiar"
count1
4
word"weight"
count1
5
word"shimmered"
count1
6
word"encounter"
count1
7
word"tracing"
count1
8
word"intricate"
count1
9
word"etched"
count1
10
word"footsteps"
count1
11
word"pulse"
count1
12
word"gleaming"
count1
13
word"unwavering"
count1
highlights
0"echoed"
1"measured"
2"scanning"
3"familiar"
4"weight"
5"shimmered"
6"encounter"
7"tracing"
8"intricate"
9"etched"
10"footsteps"
11"pulse"
12"gleaming"
13"unwavering"
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
emotionTells1
narrationSentences64
matches
0"t with fear"
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences64
filterMatches
0"watch"
hedgeMatches
0"began to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences75
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords949
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount765
uniqueNames8
maxNameDensity1.18
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Eva"
discoveredNames
Tube1
Harlow1
Quinn9
Silas1
Kowalski1
Eva9
Forbidden1
Morris1
persons
0"Harlow"
1"Quinn"
2"Silas"
3"Kowalski"
4"Eva"
5"Morris"
places(empty)
globalScore0.912
windowScore0.667
89.02% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount1
matches
0"seemed deeper than they should be, drinking the light"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount949
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences75
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs42
mean22.6
std16.84
cv0.745
sampleLengths
071
137
217
316
464
526
611
768
812
924
1025
117
125
1324
147
1551
1617
1731
184
1919
2035
212
2221
2341
2448
2527
2612
275
2820
2911
307
319
3216
339
3431
3520
3615
3711
3819
3921
4014
4119
77.85% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences64
matches
0"been gutted"
1"were glinted"
2"been cracked"
3"is warded"
4"were fixed"
5"was etched"
55.07% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs138
matches
0"was spinning"
1"was waiting"
2"was slowing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences75
ratio0.013
matches
0"Bes recognized the victim—a dealer known in certain circles as Silas."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount300
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.02666666666666667
lyAdverbCount1
lyAdverbRatio0.0033333333333333335
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences75
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences75
mean12.65
std10.03
cv0.793
sampleLengths
027
114
214
316
47
530
617
711
85
92
1012
1119
1217
1314
1418
158
1611
176
1813
1911
2010
217
225
2310
244
252
2612
2713
282
295
304
317
3215
333
347
355
3624
377
3811
3940
4017
4131
424
4310
442
456
461
4735
482
495
96.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.6
totalSentences75
uniqueOpeners45
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences55
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences55
matches
0"Her sharp jaw was set,"
1"His throat was slit,"
2"Her curly red hair was"
3"It’s a dismissal sigil.iated outward"
4"She’d assumed it was paint."
5"He gestured to the victim’s"
6"She looked at the leaking"
7"She reached for it."
8"She thought of her partner,"
9"She looked back at the"
10"They hesitated, but her tone"
11"She looked from the compass"
12"They hadn’t been looking for"
ratio0.236
50.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences55
matches
0"The air in the abandoned"
1"Detective Harlow Quinn’s polished boots"
2"Her sharp jaw was set,"
3"The worn leather watch on"
4"An arcane market had been"
5"Stalls were glinted under the"
6"Bes recognized the victim—a dealer"
7"His throat was slit,"
8"Eva Kowalski stood a few"
9"Her curly red hair was"
10"Eva adjusted her satchel strap"
11"Eva’s gaze drifted graffiti"
12"It’s a dismissal sigil.iated outward"
13"The symbol was intricate, looping,"
14"The substance was indeed dark,"
15"She’d assumed it was paint."
16"Copper and something else."
17"Things that shouldn’t bensics tech."
18"The tech looked up, shaking"
19"He gestured to the victim’s"
ratio0.818
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences55
matches
0"If you touch it, it"
1"If it’s spinning like that,"
ratio0.036
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount3
matches
0"Stalls were glinted under the harsh glare of police floodlights, mingling with spilled powders that shimmered with been cracked open, its contents now just pale…"
1"The air grew colder. The sigil on the wall seemed to pulse, the blackened blood gleaming as if wet anew."
2"Quinn finally picked up the compass. It was ice-cold in her hand. The humming stopped. The needle held its position, unwavering."
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount2
matches
0"Quinn said, her voice low but carrying"
1"Eva said, her voice tight with fear"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences30
tagDensity0.1
leniency0.2
rawRatio0
effectiveRatio0
83.0428%