Run: 2026-05-10-01KR92JJQQR40GCB3MRGS3VCZ3

Run Details

Duration:
48.6s
Cost:
$0.000728
Provider:
DeepInfra

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 smell of ozone and rotting river water clung to the air of the abandoned Tube station. Detective Harlow Quinn stepped over a rusted turnstile, her boots clicking against cracked tiles. She stopped. The station was a hollowed-out ribcage of concrete and iron, stripped of its purpose. To any other officer, this was a dead-end tunnel beneath Camden. To Quinn, the symmetry of the wreckage felt intentional. A junior officer stood by a slumped figure near the platform edge. He looked pale, his eyes darting toward the darkness of the tunnel. "Victim is a male, mid-forties," the officer reported. He didn't look at her. "No ID. No wallet. He just... appeared here." Quinn knelt. The body wore a bespoke charcoal suit that cost more than the officer's annual salary, yet the fabric was scorched. Black streaks tore through the wool, smelling of sulfur and burnt hair. She leaned in. The man’s face was a mask of frozen terror, eyes wide and clouded. A singular, jagged puncture wound sat center-chest, right through the sternum. No blood pooled on the tiles. The wound was cauterized, a blackened hole that looked like it had been punched by a hot iron rod. "Heart attack brought on by shock?" the officer suggested. Quinn glanced at her worn leather watch. Three minutes since she arrived. "He didn't walk here," Quinn said. The officer frowned. "Look at the dust." Quinn pointed to the thick layer of grey silt covering the platform. Footprints led away from the body, but none led toward it. The victim sat in a perfect circle of clean tile, as if he had been dropped from a height of two inches. "Maybe he was carried?" "By whom? There are no drag marks. No secondary prints." She shifted her weight, her sharp jaw tightening. She reached into the victim's jacket pocket. Her fingers brushed something hard and porous. She withdrew a small, bleached fragment of bone, carved with a swirling, iridescent rune that pulsed with a faint, dying light. "What's that?" "A ticket," Quinn whispered. She stood and scanned the perimeter. The station felt wrong. The geometry of the walls seemed to shift when she blinked, the shadows stretching toward the center of the room despite the harsh glare of the police floodlights. She walked ten paces toward the tunnel mouth. The air grew heavy, pressing against her lungs like deep water. A flicker of movement caught her eye. A woman stood near a pillar, partially obscured by the gloom. She wore round glasses and clutched a worn leather satchel to her chest. Curly red hair escaped a messy knot, and she was frantically tucking a strand behind her left ear. Quinn’s hand dropped to her belt. "Step into the light. Now." The woman jumped, nearly dropping her bag. She stepped forward, her freckled complexion flushed. "I'm not a suspect! I'm a researcher. From the museum." Quinn didn't relax. "The British Museum doesn't conduct field research in condemned Tube stations at midnight." "The restricted archives do," the woman countered. She adjusted her glasses, her gaze shifting to the body. "You shouldn't touch that bone token with your bare skin. The residue is caustic to those without... certain affinities." Quinn looked at her fingertips. They were tingling. "You know what this is." "It's an entry pass," the researcher said. "For the Veil Market. But this one is cracked. He didn't just enter the market; he was ejected. Violently." Quinn stepped closer, her military precision cutting through the woman's nervous energy. "The Veil Market. Sounds like a ghost story for tourists. Start talking, or you're coming back to the station in cuffs." The woman sighed, her shoulders slumping. "My name is Eva Kowalski. I track anomalies. This man wasn't murdered by a person. He was erased by a contract." Quinn looked back at the cauterized hole in the man's chest. "Contracts don't burn holes through bone." "Not legal contracts," Eva clarified. "Trade agreements. The Market sells things that shouldn't exist. Information, memories, luck. If you default on a payment to a Shade artisan, they don't send a debt collector. They take the collateral." "And the collateral was his heart?" "Exactly." Quinn felt a cold prickle at the base of her neck. Three years ago, DS Morris had vanished in a room with locked doors and no windows. The official report cited a freak accident, but the room had smelled of this same ozone. The same sulfur. "Why are you here, Kowalski?" "I felt the rift open. I have a... device." Eva reached into her satchel and pulled out a small brass compass. It was coated in a thick patina of verdigris, the face etched with sigils that mirrored the rune on the bone token. The needle didn't point North. It spun wildly for a second before snapping violently toward a blank brick wall at the end of the platform. Quinn followed the needle's gaze. The wall looked ordinary. Red clay, mortar, decades of grime. "There's nothing there." "To you," Eva said. Quinn walked to the wall. She pressed her palm against the brick. It wasn't cold. It was humming. A low-frequency vibration rattled her teeth. She noticed a hairline fracture in the mortar, a gap no wider than a credit card, bleeding a faint, violet light. "The evidence doesn't add up because you're looking at the crime scene as a location," Quinn said, her voice dropping. "It's not a location. It's a doorway." "You're quicker than the last detective they sent," Eva noted. Quinn ignored her. She leaned in, noticing a single, iridescent scale clinging to the brickwork. She picked it up with a pair of tweezers. The scale shifted colors—emerald to amethyst to void-black. "He wasn't just ejected," Quinn observed. "He was hunted. Look at the scorch marks on the suit. They aren't random. They're claw marks." "A Shade," Eva whispered. "They don't usually leave the Market." "Then something changed the rules." Quinn turned to the officer, who was still staring at the body in confusion. She looked back at the brass compass in Eva's hand. The needle was now steady, pointing directly at the void behind the bricks. "Can you open it?" Eva looked at the bone token in Quinn's hand. "The token is broken. It's a one-way trip now. If we go in, we might not find the way back before the full moon shifts the Market's location." Quinn looked at the dead man, then at the shimmering gap in the wall. She thought of Morris. She thought of the unexplained silence that had haunted her for three years. "I've spent three years staring at closed doors," Quinn said. "Open it."
created_at"2026-05-10T13:52:36.609Z" 5/10/2026, 1:52:36 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency201
moderation_latency(null)
generation_time48340
tokens_prompt1149
tokens_completion1719
native_tokens_prompt1089
native_tokens_completion1544
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00072829
router(null)
provider_responses
0
endpoint_id"69279254-6a96-4e9d-abc6-ea76e6bf8e97"
is_byokfalse
latency74
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Novita"
status429
1
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-RWas5FQXP0bRFdM9dN7fhxd1"
is_byokfalse
latency56
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778421156-UR4bHqTiL8YONrztiKWi"
session_id(null)
api_type"completions"
id"gen-1778421156-eftNNzXnpJclO9lceH3a"
upstream_id"chatcmpl-RWas5FQXP0bRFdM9dN7fhxd1"
total_cost0.00072829
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences40
tagDensity0.325
leniency0.65
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1108
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
63.90% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1108
totalAiIsms8
found
0
word"perfect"
count1
1
word"weight"
count1
2
word"pulsed"
count1
3
word"scanned"
count1
4
word"flicker"
count1
5
word"gloom"
count1
6
word"etched"
count1
7
word"silence"
count1
highlights
0"perfect"
1"weight"
2"pulsed"
3"scanned"
4"flicker"
5"gloom"
6"etched"
7"silence"
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
narrationSentences87
matches
0"y in confusion"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences87
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)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1107
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
6.77% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount768
uniqueNames7
maxNameDensity2.86
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Tube1
Harlow1
Quinn22
Camden1
Morris2
North1
Eva7
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Eva"
places(empty)
globalScore0.068
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount1
matches
0"looked like it had been punched by a hot"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1107
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences114
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs54
mean20.5
std18.97
cv0.925
sampleLengths
067
124
221
386
49
512
66
73
84
945
104
1110
1243
132
144
1557
1649
176
185
1914
2010
2116
2236
238
245
2526
2612
2721
286
2921
3017
3137
326
331
3446
355
369
3759
3815
393
404
4145
4227
4310
4432
4523
4610
475
4837
494
93.16% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences87
matches
0"was cauterized"
1"been punched"
2"been dropped"
3"was coated"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs131
matches
0"was frantically tucking"
1"were tingling"
2"was humming"
3"was still staring"
92.73% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences114
ratio0.018
matches
0"\"For the Veil Market. But this one is cracked. He didn't just enter the market; he was ejected. Violently.\""
1"The scale shifted colors—emerald to amethyst to void-black."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount774
adjectiveStacks1
stackExamples
0"heavy, pressing against her"
adverbCount12
adverbRatio0.015503875968992248
lyAdverbCount7
lyAdverbRatio0.00904392764857881
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean9.71
std6.27
cv0.646
sampleLengths
017
114
22
314
411
59
612
712
88
95
108
112
1220
1312
143
1513
1611
176
1819
199
207
215
226
233
244
2512
2611
2722
284
2910
308
317
327
3321
342
354
366
374
3828
398
4011
417
4211
4313
4418
456
465
477
487
4910
45.91% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.3333333333333333
totalSentences114
uniqueOpeners38
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences77
matches(empty)
ratio0
95.32% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences77
matches
0"He looked pale, his eyes"
1"He didn't look at her."
2"She leaned in."
3"She shifted her weight, her"
4"She reached into the victim's"
5"Her fingers brushed something hard"
6"She withdrew a small, bleached"
7"She stood and scanned the"
8"She walked ten paces toward"
9"She wore round glasses and"
10"She stepped forward, her freckled"
11"She adjusted her glasses, her"
12"They were tingling."
13"It was coated in a"
14"It spun wildly for a"
15"She pressed her palm against"
16"It wasn't cold."
17"It was humming."
18"She noticed a hairline fracture"
19"She leaned in, noticing a"
ratio0.312
11.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount69
totalSentences77
matches
0"The smell of ozone and"
1"Detective Harlow Quinn stepped over"
2"The station was a hollowed-out"
3"A junior officer stood by"
4"He looked pale, his eyes"
5"the officer reported"
6"He didn't look at her."
7"The body wore a bespoke"
8"She leaned in."
9"The man’s face was a"
10"A singular, jagged puncture wound"
11"The wound was cauterized, a"
12"the officer suggested"
13"Quinn glanced at her worn"
14"The officer frowned."
15"Quinn pointed to the thick"
16"Footprints led away from the"
17"The victim sat in a"
18"She shifted her weight, her"
19"She reached into the victim's"
ratio0.896
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences77
matches
0"To any other officer, this"
1"To Quinn, the symmetry of"
ratio0.026
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount0
matches(empty)
86.54% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount1
matches
0"Quinn said, her voice dropping"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount7
fancyTags
0"the officer reported (report)"
1"the officer suggested (suggest)"
2"Quinn whispered (whisper)"
3"Eva clarified (clarify)"
4"Eva noted (note)"
5"Quinn observed (observe)"
6"Eva whispered (whisper)"
dialogueSentences40
tagDensity0.3
leniency0.6
rawRatio0.583
effectiveRatio0.35
79.6761%