Run: 2026-02-19-01KHTYJNF34KVBV1JQJ7CBQJZD

Run Details

Duration:
19.1s
Cost:
$0.009209
Provider:
BaseTen

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 under the crime scene tape at the Camden Town station entrance. The Victorian tiles above the stairwell yawned like a broken tooth, blackened and cracked. She checked the worn leather watch on her left wrist—06:23. Three hours since the call came in, and her salt-and-pepper hair still held the damp from the morning drizzle. She descended. Her boots struck concrete with military precision. The air down here tasted of rust and stagnant water. According to the station logs, this branch had flooded last Tuesday. Engineers sealed it off. Yet here lay a body. Eva Kowalski crouched beside the corpse, her curly red hair escaping from a hasty bun. She didn't look up. "You're late." "Traffic." Quinn stopped three feet from the body, hands clasped behind her back, her sharp jaw set. "What do we have?" "Male, mid-forties. No ID." Eva's fingers hovered over the victim's chest. She wore no gloves, Quinn noticed. "Lividity suggests he's been here three days. Maybe four." "Impossible." Quinn's brown eyes narrowed. Her military bearing kept her stance rigid. "The flood didn't recede until yesterday morning. This platform was underwater." Eva finally looked up. Her green eyes, magnified by round glasses, held something Quinn couldn't read. "Exactly." The body lay sprawled near the tunnel mouth, dry as dust. His clothes—Victorian-style frock coat, absurd for modern London—showed no water damage. No algae. No bloating. Yet the platform walls bore the high-water mark, a dark stain four feet up the tilework. Quinn circled the corpse. Her leather watch strap creaked. "Staged. Someone dumped him here after the pumps finished." "With no footprints?" Eva gestured to the dust coating the platform. Only their own boot prints disturbed the gray film. "No drag marks? And look at his hands." The victim's fingers clutched something white. Quinn crouched, her movement economical. She pried the fingers apart. A token fell into her palm. Carved bone. Etched with symbols that seemed to shift when she blinked. "What is this?" Eva's breath caught. "A key. To the Veil Market." "The what?" "Underground market. Moves locations every full moon." Eva tucked a curl behind her left ear, fingers trembling. "It occupies abandoned spaces. Tube stations, crypts, sewers. This station, three nights ago, wasn't flooded. Not for them." Quinn stood. The bone token bit into her palm. "You're suggesting supernatural nonsense?" "I'm suggesting the water didn't touch this platform because the Market was here. They have... ways of keeping spaces separate. Dry pockets in flooded tunnels." Eva opened her worn leather satchel, withdrew a brass compass. "This might convince you." The compass casing bore verdigris, ancient and green. Quinn took it. The face was etched with sigils that matched the bone token. The needle spun wildly, then locked. It pointed at the tunnel wall. Solid concrete. Thirty feet of earth and iron beyond that. "Defective," Quinn said. "Look again." The needle trembled. It pointed not at the wall, but through it. Downward. Into bedrock. Quinn's military training warred with the evidence of her senses. The compass felt warm. Alive. Her partner Morris had died three years ago in a case with unexplained circumstances. A locked room. No entry. No exit. Just a body and symbols carved into the floor. She looked at the victim's frock coat. The bone token. The compass spinning toward nothing. "There's a rift," Eva said. "A door. The Market moves by using them. This man was a vendor. Or a buyer. He died three days ago, Detective. He just didn't die here." Quinn's jaw tightened. She walked to the tunnel wall. Pressed her palm against cold concrete. The compass needle quivered. Pointed at her hand. Through it. "Show me," Quinn said. Eva smiled. It didn't reach her eyes. "The Market requires payment. The bone token will open the way, but only if you're willing to see what's on the other side." Quinn looked at the body. At her watch. Three years since Morris died in a room that couldn't be entered. Three days since this man died in a tunnel that couldn't be dry. She closed her fist around the token. "Open it," she said.
created_at"2026-02-19T12:39:12.106Z" 2/19/2026, 12:39:12 PM
model"moonshotai/kimi-k2.5-0127"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency186
moderation_latency(null)
generation_time18987
tokens_prompt1149
tokens_completion3394
native_tokens_prompt1023
native_tokens_completion2865
native_tokens_completion_images(null)
native_tokens_reasoning2294
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"
usage0.0092088
router(null)
provider_responses
0
endpoint_id"6b68e10a-44e0-4815-9b96-52f34335f83d"
id"chatcmpl-ac58f0db5fbf49bc85212ed8f35f0d5a"
is_byokfalse
latency186
model_permaslug"moonshotai/kimi-k2.5-0127"
provider_name"BaseTen"
status200
api_type"completions"
id"gen-1771504752-xr4aApZAiykZ7Xprbi8O"
upstream_id"chatcmpl-ac58f0db5fbf49bc85212ed8f35f0d5a"
total_cost0.0092088
cache_discount(null)
upstream_inference_cost0
provider_name"BaseTen"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences26
tagDensity0.385
leniency0.769
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount695
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)
71.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount695
totalAiIsms4
found
0
word"etched"
count2
1
word"trembled"
count1
2
word"quivered"
count1
highlights
0"etched"
1"trembled"
2"quivered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences78
matches(empty)
69.60% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences78
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)
analyzedSentences94
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords687
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
11.39% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount505
uniqueNames11
maxNameDensity2.77
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn14
Camden1
Town1
Victorian2
Tuesday1
Kowalski1
Eva9
London1
Morris2
Three3
persons
0"Harlow"
1"Quinn"
2"Victorian"
3"Kowalski"
4"Eva"
5"Morris"
places
0"Camden"
1"Town"
2"London"
globalScore0.114
windowScore0.333
85.90% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount1
matches
0"symbols that seemed to shift when she blinked"
54.44% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.456
wordCount687
matches
0"not at the wall, but through it"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences94
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean21.47
std14.25
cv0.664
sampleLengths
058
139
221
321
426
523
617
742
818
928
1034
113
129
132
1435
1513
1639
1728
1816
193
202
2115
2245
2315
2432
2515
2610
274
2830
2933
307
314
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences78
matches
0"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs87
matches(empty)
82.07% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences2
totalSentences94
ratio0.021
matches
0"She checked the worn leather watch on her left wrist—06:23."
1"His clothes—Victorian-style frock coat, absurd for modern London—showed no water damage."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount512
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.017578125
lyAdverbCount4
lyAdverbRatio0.0078125
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences94
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences94
mean7.31
std5.85
cv0.8
sampleLengths
015
114
210
319
42
57
610
711
84
95
1015
114
122
1317
144
1511
166
179
185
197
2011
214
2212
231
2411
2511
262
272
2816
294
305
319
3211
339
348
356
365
375
386
392
4010
413
423
436
442
4517
4618
472
487
494
72.70% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.46808510638297873
totalSentences94
uniqueOpeners44
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences61
matches
0"Only their own boot prints"
1"Just a body and symbols"
ratio0.033
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences61
matches
0"She checked the worn leather"
1"Her boots struck concrete with"
2"She didn't look up."
3"She wore no gloves, Quinn"
4"Her military bearing kept her"
5"Her green eyes, magnified by"
6"His clothes—Victorian—style frock coat, absurd"
7"Her leather watch strap creaked."
8"She pried the fingers apart."
9"It pointed at the tunnel"
10"It pointed not at the"
11"Her partner Morris had died"
12"She looked at the victim's"
13"She walked to the tunnel"
14"It didn't reach her eyes."
15"She closed her fist around"
ratio0.262
74.75% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences61
matches
0"Detective Harlow Quinn ducked under"
1"The Victorian tiles above the"
2"She checked the worn leather"
3"Her boots struck concrete with"
4"The air down here tasted"
5"Eva Kowalski crouched beside the"
6"She didn't look up."
7"Quinn stopped three feet from"
8"Eva's fingers hovered over the"
9"She wore no gloves, Quinn"
10"Quinn's brown eyes narrowed"
11"Her military bearing kept her"
12"Eva finally looked up."
13"Her green eyes, magnified by"
14"The body lay sprawled near"
15"His clothes—Victorian—style frock coat, absurd"
16"Quinn circled the corpse."
17"Her leather watch strap creaked."
18"Eva gestured to the dust"
19"The victim's fingers clutched something"
ratio0.77
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount0
matches(empty)
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount2
matches
0"Quinn stopped, hands clasped behind her back, her sharp jaw set"
1"Eva tucked, fingers trembling"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences26
tagDensity0.154
leniency0.308
rawRatio0
effectiveRatio0
84.9020%