Run: 2026-04-24-01KQ04XAYEST7FYC9RGC6BXQY2

Run Details

Duration:
3m 21s
Cost:
$0.000681
Provider:
SiliconFlow

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 cold bite of the underground rose up from the tile as Detective Harlow Quinn stepped into the abandoned Tube station beneath Camden. Her boots clanged against the cracked concrete, echoing off the vaulted arches that had once thrummed with commuters. A faint, metallic scent hung in the air—a reminder of rusted rails and long‑dead machinery. Her left wrist bore the worn leather watch that had survived seventeen years of precinct rotations; its second hand ticked with the steadiness of a metronome. She halted at the edge of a dimly lit platform where the Veil Market sprawled like a secret wound. Stalls draped in tattered velvet and oil‑soaked canvas formed a labyrinth of shadows. Merchants crowded around a low table that bore a brass compass, its face etched with sigils that glimmered faintly against the verdigris patina. The Compass needle twitched, pointing not north but toward an unseen fissure in the stone. A figure leaned against a stack of crates, adjusting a pair of round glasses with a trembling finger. Eva Kowalski's green eyes scanned the scene, the curl of red hair falling behind her left ear with a nervous habit. She clutched a leather satchel brimming with books, the strap digging into her side. “What do we have here, Quinn?” Eva asked, voice low, her tone dancing between curiosity and caution. Quinn's eyes narrowed behind the brown lenses of her own gaze. “A murder,” she replied, stepping closer to the table where a body lay sprawled across a carpet of spilled ink. The corpse was a young man, his throat slashed, his hands still clutching a blood‑stained ledger. The ledger’s pages fluttered as a draft from the vent curled through the station’s depths. “Victim’s name?” Quinn asked, crouching to examine the ledger’s first entry, her finger tracing the ink without smudging it. The name glimmered: “Liam O’Reilly, 29, freelance cartographer.” She glanced at the surrounding stalls, noting the odd assortment of items—bottles of luminescent liquid, vials of powdered ash, a sack of crushed bone tokens. The market’s usual clientele—shadowy figures with iridescent eyes—watched from the gloom, their faces half‑hidden behind masks stitched with runes. Eva moved to the corpse, her glasses fogging as she peered at the wound. “Sharp blade, likely a ritual dagger,” she muttered, her fingers resting on the scar on the victim’s neck. Quinn lifted the Compass, the needle quivering wildly. “It points to the rift,” she said, voice clipped. “The one behind the old water main—right where the market’s edge meets the tunnel.” Eva tilted her head, the satchel shifting. “The rift isn’t stable. It pulls in… energy. Could the victim have been using it for something?” Quinn studied the ledger’s margins, where faint symbols had been scribbled. “These aren’t just cartographic notes,” she observed. “They’re sigils aligned with the market’s secret trade. Look—each diagram matches a stall’s inventory.” She traced a line from a diagram of a compass rose to the bronze compass on the table. “The Compass is a tool for locating rifts. Whoever owned it knew where the veil thinned.” Eva glanced around, noting a stall that sold sealed jars marked with a black feather. “Those are Shade‑crafted,” Eva whispered, “Containers for capturing whispers of the dead.” Quinn’s gaze snapped to a broken bone token lying beside the body. “Token’s bone—human, but not the victim’s. Someone left a marker, perhaps to claim the rift.” A murmur rose from the market’s shadows as a cloaked vendor stepped forward, holding a glass vial that pulsed with a faint amber glow. “The compulsion was yours,” the vendor hissed, eyes glinting. “You tried to bind the rift, but the veil repaid you.” Quinn’s jaw tightened, the sharp edge of her military bearing cutting through the tension. “You’re lying,” she said, voice steady. “You sold the Compass, you didn’t warn anyone about the rift’s volatility.” The vendor’s grin widened, teeth flashing like shattered glass. “Bob, the market’s name is Veil. You can’t expect a secondhand compass to behave like a compass at all.” Eva stepped forward, satchel thrust against her hip. “He meant the Compass, not me,” she said, pointing a finger at the vendor. “The compass is a Shade‑crafted artifact. It doesn’t just point—it pulls.” Quinn lifted the Companion from her pocket, a small notebook filled with notes on the case of DS Morris. “Morris vanished near a rift three years ago,” she recalled, eyes narrowing
created_at"2026-04-24T16:24:34.521Z" 4/24/2026, 4:24:34 PM
model"openai/gpt-oss-120b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5375
moderation_latency(null)
generation_time201218
tokens_prompt1149
tokens_completion1685
native_tokens_prompt1073
native_tokens_completion1394
native_tokens_completion_images(null)
native_tokens_reasoning383
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(null)
native_finish_reason(null)
usage0.00068095
router(null)
provider_responses
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endpoint_id"ce118593-d9b2-4d2d-bcd4-33f0609b42f1"
id"019dc04eb375dc330c92e3a997953443"
is_byokfalse
latency4912
model_permaslug"openai/gpt-oss-120b"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777047874-KNkBrn0EeMBxr0KXMBtS"
session_id(null)
api_type"completions"
id"gen-1777047874-tGCA6BVQCdwVY16T1Pvw"
upstream_id"019dc04eb375dc330c92e3a997953443"
total_cost0.00068095
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences21
tagDensity0.571
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount738
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount738
totalAiIsms16
found
0
word"echoing"
count1
1
word"reminder"
count1
2
word"velvet"
count1
3
word"etched"
count1
4
word"scanned"
count1
5
word"dancing"
count1
6
word"fluttered"
count1
7
word"depths"
count1
8
word"tracing"
count1
9
word"gloom"
count1
10
word"aligned"
count1
11
word"traced"
count1
12
word"pulsed"
count1
13
word"glinting"
count1
14
word"tension"
count1
15
word"shattered"
count1
highlights
0"echoing"
1"reminder"
2"velvet"
3"etched"
4"scanned"
5"dancing"
6"fluttered"
7"depths"
8"tracing"
9"gloom"
10"aligned"
11"traced"
12"pulsed"
13"glinting"
14"tension"
15"shattered"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"hung in the air"
count1
highlights
0"eyes narrowed"
1"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences39
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences39
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences48
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords730
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
75.93% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount540
uniqueNames12
maxNameDensity1.48
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn8
Tube1
Camden1
Veil1
Market1
Compass2
Kowalski1
Eva7
Companion1
Morris1
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Eva"
4"Morris"
places(empty)
globalScore0.759
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences33
glossingSentenceCount0
matches(empty)
63.01% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.37
wordCount730
matches
0"not north but toward an unseen fissure in the stone"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences48
matches(empty)
84.54% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean38.42
std17.13
cv0.446
sampleLengths
082
170
253
317
462
519
652
732
831
924
1032
1134
1227
1327
1444
1532
1628
1733
1831
96.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences39
matches
0"been scribbled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs95
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount1
flaggedSentences4
totalSentences48
ratio0.083
matches
0"A faint, metallic scent hung in the air—a reminder of rusted rails and long‑dead machinery."
1"Her left wrist bore the worn leather watch that had survived seventeen years of precinct rotations; its second hand ticked with the steadiness of a metronome."
2"The name glimmered: “Liam O’Reilly, 29, freelance cartographer.” She glanced at the surrounding stalls, noting the odd assortment of items—bottles of luminescent liquid, vials of powdered ash, a sack of crushed bone tokens."
3"The market’s usual clientele—shadowy figures with iridescent eyes—watched from the gloom, their faces half‑hidden behind masks stitched with runes."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount544
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.016544117647058824
lyAdverbCount3
lyAdverbRatio0.0055147058823529415
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences48
echoCount0
echoWords(empty)
80.20% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences48
mean15.21
std5.33
cv0.351
sampleLengths
023
118
215
326
419
513
623
715
818
921
1014
1117
1211
1320
1416
1515
1619
1733
1819
1914
2018
218
229
2314
247
2517
2611
277
2814
2918
3016
3115
3212
3312
3415
3524
369
3711
3814
396
4012
419
4219
438
4414
4511
4619
4712
63.19% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4166666666666667
totalSentences48
uniqueOpeners20
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences37
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences37
matches
0"Her boots clanged against the"
1"Her left wrist bore the"
2"She halted at the edge"
3"She clutched a leather satchel"
4"she replied, stepping closer to"
5"she muttered, her fingers resting"
6"she said, voice clipped"
7"She traced a line from"
8"she said, voice steady"
9"she said, pointing a finger"
10"she recalled, eyes narrowing"
ratio0.297
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences37
matches
0"The cold bite of the"
1"Her boots clanged against the"
2"A faint, metallic scent hung"
3"Her left wrist bore the"
4"She halted at the edge"
5"Stalls draped in tattered velvet"
6"Merchants crowded around a low"
7"The Compass needle twitched, pointing"
8"A figure leaned against a"
9"Eva Kowalski's green eyes scanned"
10"She clutched a leather satchel"
11"Eva asked, voice low, her"
12"Quinn's eyes narrowed behind the"
13"she replied, stepping closer to"
14"The corpse was a young"
15"The ledger’s pages fluttered as"
16"Quinn asked, crouching to examine"
17"The name glimmered: She glanced"
18"The market’s usual clientele—shadowy figures"
19"Eva moved to the corpse,"
ratio1
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences37
matches(empty)
ratio0
49.69% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount3
matches
0"Her boots clanged against the cracked concrete, echoing off the vaulted arches that had once thrummed with commuters."
1"Her left wrist bore the worn leather watch that had survived seventeen years of precinct rotations; its second hand ticked with the steadiness of a metronome."
2"Merchants crowded around a low table that bore a brass compass, its face etched with sigils that glimmered faintly against the verdigris patina."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount6
matches
0"Eva asked, voice low, her tone dancing between curiosity and caution"
1"she muttered, her fingers resting on the scar on the victim’s neck"
2"she said, voice clipped"
3"the vendor hissed, eyes glinting"
4"she said, voice steady"
5"she recalled, eyes narrowing"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount4
fancyTags
0"she muttered (mutter)"
1"she observed (observe)"
2"Eva whispered (whisper)"
3"the vendor hissed (hiss)"
dialogueSentences21
tagDensity0.476
leniency0.952
rawRatio0.4
effectiveRatio0.381
69.3167%