Run: 2026-02-25-01KJBJNJQQQT480BHSVQ8SB2PB

Run Details

Duration:
39.5s
Cost:
$0.009208
Provider:
Alibaba

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The air down here tasted of stale copper and wet ozone, a sharp metallic tang that coated the back of Harlow Quinn’s throat. She stepped off the final concrete tread of the abandoned tube stairwell, her boots hitting the grimy floor of the station with the precise, rhythmic cadence she had drilled into her own feet for eighteen years. Her watch face caught the dim glow of the emergency strip lighting above. Three years since Morris died, and the silence still followed her down into places like this. Harlow adjusted the brim of her coat, her salt-and-pepper hair swept back from a face set in sharp, military lines. She scanned the tunnel. It wasn’t supposed to be here. The manifest said the station was derelict, condemned for structural collapse, but the tracks were swept. The grime was too fresh. Eva Kowalski stood near the edge of the platform, her silhouette framed by the shadows of the waiting rooms. The researcher wore her round glasses which caught the light, reflecting the harsh glare of the scene investigators’ halogen bulbs. She had her leather satchel slung over one shoulder, its bulk heavy with the books she carried everywhere. Harlow approached, the leather of her jacket creaking softly. She stopped a few paces away, her brown eyes scanning the woman’s profile. Eva looked older than the last time they had spoken, the freckles across her nose more pronounced under the stress. You didn’t call for backup, Harlow said. Her voice was low, flat. Eva looked up, tucking a curl of curly red hair behind her left ear. It was a nervous habit she had perfected years ago. You know I don’t call the police for anything less than a murder. This isn’t less. It’s a body on the tracks. Why did you bring me here? Harlow asked. She kept her hands loose at her sides, ready for anything. Because I need your eye, Evie said. Her voice was steady, but Harlow noticed the way her fingers tapped against the strap of her bag. I need the one person who treats ghosts like physics problems. Harlow frowned, moving past her to the body lying on the tracks. The victim was a young man, dressed in street clothes that looked expensive. He lay face up, arms spread, hands open. He’s dead, Harlow said. Dead is a polite word for what happened to him, Eva replied, stepping closer. Look at the burns. Not fire. Rift burn. Harlow crouched, the cold seeping through the knee of her trousers. She leaned in, ignoring the smell of the station. The skin around the boy’s chest was blackened, but there was no ash. No smell of char. Just that same ozone taste clinging to the air. It looks like a car accident, Harlow muttered. Her hands hovered over the body without touching. Where did he come from? The police log says he was found near the Camden entrance this morning. No witnesses. No ID in his pockets. But the entrance to this place was locked. Then how did he get in? Harlow asked. He didn’t walk, Eva said. She pulled a small notebook from her satchel, though she didn’t open it. The energy signature in the room is residual. It’s a tear in the membrane. Someone opened a gate, he fell through, and the gate closed on him. Harlow stood up slowly, shaking the dirt from her knees. The story was absurd. She had dealt with gang wars, drug busts, and violent muggings. Supernatural rifts were the kind of thing she dismissed when she drank whiskey with Morris. But Morris was gone now, and the world had a way of proving her wrong. He’s got a watch on his wrist. Harlow pointed. A cheap digital thing. But his pulse is cold. The skin is stiff. He’s been here for weeks, Eva said. Impossible. The heat of the station is rising. The air is moving. It’s fresh. Harlow moved around the body, her mind working with a clarity that usually only came under fire. She looked at the tracks. No drag marks. No scuffing from the concrete. Just the body lying there like it had been placed. If he fell, he would have rolled. He would have hit a wall. He was deposited here. And the blood? Harlow asked. Where’s the blood? Eva looked down at the tracks. Harlow squinted. There was no red on the metal rails. No pooling at the elbows. The burns were searing hot, but the wound was clean. He didn’t bleed out, Eva said. He was drained. Harlow pulled on her gloves. She needed to see the hands. She reached down to the man’s left wrist. Stop. Eva stepped forward, her hand reaching out to grab Harlow’s arm. Harlow froze. She looked at the hand on her arm. It was cold, almost feverish. You shouldn’t touch it, Eva said. Harlow turned her head, her jaw hardening. You’re a researcher. I’m a detective. I touch the evidence. She lifted the dead man’s wrist. The skin was pale, translucent under the light. And there, pinned against the bone, was a small object. Harlow took the item. It was a compass, but not a navigational tool. The casing was brass, etched with fine lines that seemed to absorb the light. The needle was still, vibrating slightly. Veil Compass, Eva whispered. Harlow turned it over in her hand. The casing had a patina of verdigris, green oxidation that felt old. The face was etched with protective sigils. It pointed toward the tracks, but the needle wasn’t spinning. It was locked. Who has this? Harlow asked. I don’t know who he was, but I know what this is. This is a tracker. It marks a portal. Harlow stood up, the weight of the compass heavy in her palm. She looked back at the body. The lack of blood. The lack of struggle. The precision of the placement. This isn’t a ritual sacrifice, Harlow said. It’s close to it, Eva said. No. If it was a sacrifice, they wouldn’t leave the tracker. They wouldn’t leave the victim on the tracks where anyone could find him. This was a message. Someone wanted the market to know something. Harlow looked at Eva. Her eyes were tired, but sharp. What is it? The needle points to a rift, Eva said. But it isn’t moving. It means the rift is dead. So the victim was used as a key. And the gate is closed now. Or it was never open to begin with. Harlow tucked the compass into her jacket pocket. The metal was warm against her ribs. She thought of Morris. Three years ago, he had been found in a similar way. No body. Just the clothes. A message that he was taken, not killed. She had assumed he was in debt. Now, the math didn’t add up. The market moved every full moon, yet the body was found here, in a place that wasn’t supposed to be accessible to anyone. They think this is a clique job, Harlow said, her voice dropping. They think the Market is the culprit, Eva corrected. I think it’s a test. Harlow turned back toward the stairs. The silence of the station pressed against her eardrums. She could feel the weight of the compass on her hip, a heavy reminder that the world was wider than her badge. Then who did it? Eva asked. Harlow walked to the edge of the platform. She didn’t look back. The compass hummed faintly, a vibration she felt in her fingertips through the pocket. Someone who knows how to use the compass, she said. Someone who knows where the bodies go. She took the stairs two at a time. The air in the tunnel felt heavier now, as if the walls were breathing. Harlow didn’t look back. She knew Eva was watching her. She knew the research assistant would file a report. She knew the evidence would be logged. But she also knew the truth. The case wasn’t solved. It had just begun. She reached the top of the stairs, the exit door looming ahead. The cold London air hit her face, cleaner and sharper than the ozone below. She checked her watch. The leather strap was worn at the buckle. She didn’t have time for ghosts. She had a job to do. She stepped out onto the street and pulled up her collar. The city was dark, wet, and indifferent. But somewhere beneath it, the gate was waiting. And Harlow was the only one who knew the compass had a second needle.
created_at"2026-02-25T23:38:10.055Z" 2/25/2026, 11:38:10 PM
model"qwen/qwen3.5-35b-a3b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency538
moderation_latency(null)
generation_time39385
tokens_prompt923
tokens_completion4817
native_tokens_prompt905
native_tokens_completion4491
native_tokens_completion_images(null)
native_tokens_reasoning2609
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"
usage0.00920825
router(null)
provider_responses
0
endpoint_id"48c1210f-b7d2-4688-a340-f7424fc99d2b"
id"chatcmpl-206f13ce-641e-93e1-a2fb-a0302ed28bc1"
is_byokfalse
latency538
model_permaslug"qwen/qwen3.5-35b-a3b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772062690-VgLlDFbUlKSaePPy5BkC"
upstream_id"chatcmpl-206f13ce-641e-93e1-a2fb-a0302ed28bc1"
total_cost0.00920825
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences0
tagDensity1
leniency1
rawRatio0
effectiveRatio0
89.51% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1430
totalAiIsmAdverbs3
found
0
adverb"softly"
count1
1
adverb"slowly"
count1
2
adverb"slightly"
count1
highlights
0"softly"
1"slowly"
2"slightly"
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)
51.05% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1430
totalAiIsms14
found
0
word"rhythmic"
count1
1
word"silence"
count2
2
word"scanned"
count1
3
word"scanning"
count1
4
word"pulse"
count1
5
word"searing"
count1
6
word"etched"
count2
7
word"weight"
count2
8
word"could feel"
count1
9
word"reminder"
count1
10
word"looming"
count1
highlights
0"rhythmic"
1"silence"
2"scanned"
3"scanning"
4"pulse"
5"searing"
6"etched"
7"weight"
8"could feel"
9"reminder"
10"looming"
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
emotionTells0
narrationSentences182
matches(empty)
72.21% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount7
hedgeCount2
narrationSentences182
filterMatches
0"watch"
1"know"
2"think"
hedgeMatches
0"happened to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences182
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1430
ratio0
matches(empty)
13.89% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions8
matches
0"Because I need your eye, Evie said."
1"Dead is a polite word for what happened to him, Eva replied, stepping closer."
2"It looks like a car accident, Harlow muttered."
3"Veil Compass, Eva whispered."
4"The needle points to a rift, Eva said."
5"They think this is a clique job, Harlow said, her voice dropping."
6"They think the Market is the culprit, Eva corrected."
7"Someone who knows how to use the compass, she said."
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions64
wordCount1427
uniqueNames11
maxNameDensity2.24
worstName"Harlow"
maxWindowNameDensity4
worstWindowName"Harlow"
discoveredNames
Harlow32
Quinn1
Morris4
Kowalski1
Evie1
Eva17
Camden1
Compass1
Market1
London1
You4
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Kowalski"
4"Evie"
5"Eva"
6"Compass"
7"Market"
8"You"
places
0"Camden"
1"London"
globalScore0.379
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences116
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1430
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences182
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs57
mean25.09
std19.45
cv0.775
sampleLengths
088
151
257
342
412
540
625
736
833
94
1022
1146
1221
1328
148
1545
1655
1722
187
1914
2057
215
229
2325
249
2519
2612
2715
286
2917
3024
3133
324
3339
345
3520
3631
377
386
3935
4010
413
4218
4314
448
4579
4612
479
485
4937
82.13% Passive voice overuse
Target: ≤2% passive sentences
passiveCount12
totalSentences182
matches
0"were swept"
1"was blackened"
2"was found"
3"was gone"
4"been placed"
5"was deposited"
6"was etched"
7"was used"
8"been found"
9"was taken"
10"was found"
11"was worn"
55.60% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs277
matches
0"were searing"
1"was still, vibrating"
2"wasn’t spinning"
3"were breathing"
4"was watching"
5"was waiting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences182
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount177
adjectiveStacks0
stackExamples(empty)
adverbCount4
adverbRatio0.022598870056497175
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences182
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences182
mean7.86
std5.08
cv0.646
sampleLengths
023
136
213
316
420
54
66
716
85
919
1020
1118
129
1313
1420
157
165
1714
1810
1913
203
216
226
232
2411
257
2618
2711
2812
2913
308
314
3214
334
342
352
3611
379
3813
394
409
418
428
435
4413
452
465
478
486
492
39.01% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats20
diversityRatio0.2032967032967033
totalSentences182
uniqueOpeners37
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences166
matches
0"Just that same ozone taste"
1"Then how did he get"
2"Just the body lying there"
3"Just the clothes."
4"Then who did it?"
ratio0.03
60.96% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount66
totalSentences166
matches
0"She stepped off the final"
1"Her watch face caught the"
2"She scanned the tunnel."
3"It wasn’t supposed to be"
4"She had her leather satchel"
5"She stopped a few paces"
6"You didn’t call for backup,"
7"Her voice was low, flat."
8"It was a nervous habit"
9"You know I don’t call"
10"It’s a body on the"
11"She kept her hands loose"
12"Her voice was steady, but"
13"I need the one person"
14"He lay face up, arms"
15"He’s dead, Harlow said."
16"She leaned in, ignoring the"
17"It looks like a car"
18"Her hands hovered over the"
19"He didn’t walk, Eva said."
ratio0.398
71.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount129
totalSentences166
matches
0"The air down here tasted"
1"She stepped off the final"
2"Her watch face caught the"
3"Harlow adjusted the brim of"
4"She scanned the tunnel."
5"It wasn’t supposed to be"
6"The manifest said the station"
7"The grime was too fresh."
8"Eva Kowalski stood near the"
9"The researcher wore her round"
10"She had her leather satchel"
11"Harlow approached, the leather of"
12"She stopped a few paces"
13"Eva looked older than the"
14"You didn’t call for backup,"
15"Her voice was low, flat."
16"Eva looked up, tucking a"
17"It was a nervous habit"
18"You know I don’t call"
19"This isn’t less."
ratio0.777
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount4
totalSentences166
matches
0"Because I need your eye,"
1"If he fell, he would"
2"If it was a sacrifice,"
3"Now, the math didn’t add"
ratio0.024
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount2
matches
0"The air down here tasted of stale copper and wet ozone, a sharp metallic tang that coated the back of Harlow Quinn’s throat."
1"The casing had a patina of verdigris, green oxidation that felt old."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.6380%